@article {1082, title = {Use of sonography to evaluate carotid atherosclerosis in the elderly. The Cardiovascular Health Study. CHS Collaborative Research Group.}, journal = {Stroke}, volume = {22}, year = {1991}, month = {1991 Sep}, pages = {1155-63}, abstract = {

Carotid sonography is being performed on more than 5,000 participants in the Cardiovascular Health Study, a prospective, multicenter study of cardiovascular disease in men and women aged 65 years and older. The sonographic methods used to examine and measure the extracranial carotid arteries are described. Initial validation studies were performed on 61 subjects with a mean age of 68.6 years. Analysis of within- and between-sonographer differences and between-reader differences were performed for selected variables. In general, the mean absolute differences for within- and between-sonographer comparisons were small, with even less variability between readers. Variability was less for the common carotid artery than for the internal carotid artery. These data suggest that carotid sonography is a reliable and reproducible method for use in the study of carotid atherosclerosis in population studies.

}, keywords = {Age Factors, Aged, Arteriosclerosis, Carotid Arteries, Carotid Artery Diseases, Carotid Artery, Internal, Female, Humans, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Male, Prospective Studies, Ultrasonography}, issn = {0039-2499}, doi = {10.1161/01.str.22.9.1155}, author = {O{\textquoteright}Leary, D H and Polak, J F and Wolfson, S K and Bond, M G and Bommer, W and Sheth, S and Psaty, B M and Sharrett, A R and Manolio, T A} } @article {749, title = {Distribution and correlates of sonographically detected carotid artery disease in the Cardiovascular Health Study. The CHS Collaborative Research Group.}, journal = {Stroke}, volume = {23}, year = {1992}, month = {1992 Dec}, pages = {1752-60}, abstract = {

BACKGROUND AND PURPOSE: This article describes the prevalence of extracranial carotid atherosclerosis assessed by ultrasonography, its association with risk factors, and its relation to symptomatic coronary disease and stroke in men and women aged > or = 65 years.

METHODS: Maximum percent stenosis, maximum common carotid artery wall thickness, and maximum internal carotid artery wall thickness were assessed using duplex ultrasound in 5,201 men and women aged > or = 65 years in the Cardiovascular Health Study, a study of the risk factors and natural history of cardiovascular disease in the elderly. Existing coronary disease and stroke were assessed by physical examination and participant history.

RESULTS: Detectable carotid stenosis was present in 75\% of men and 62\% of women, although the prevalence of > or = 50\% stenosis was low, 7\% in men and 5\% in women. Maximum stenosis and maximum wall thickness measurements increased with age and were uniformly greater at all ages in men than in women (p < 0.00001). Established risk factors for atherosclerosis (hypertension, smoking, diabetes) and indications of vascular disease (left ventricular hypertrophy, major electrocardiographic abnormality, bruits, and history of heart disease or stroke) related to all three carotid artery measures in the elderly. Of the three ultrasound measures, the best correlate for a history of coronary disease was maximum internal carotid artery wall thickness. For stroke the best correlate was common carotid artery wall thickness. Multiple logistic regression models of prevalent coronary heart disease and stroke that included the ultrasound findings indicated, after adjustment for age and sex, that maximum internal wall thickness and maximum common carotid wall thickness were significant correlates of both. Maximum stenosis did not add significantly to the correlation.

CONCLUSIONS: In the elderly the incidence of carotid atherosclerosis was high, although the frequency of severe disease was low. The prevalence and severity of carotid atherosclerosis continued to increase with age even in the late decades of life, and more disease was found in men than in women at all ages. Known risk factors for atherosclerosis continued to relate to carotid abnormalities in the later decades of life, both in symptomatic and asymptomatic subjects.

}, keywords = {Aged, Arteriosclerosis, Cardiomegaly, Carotid Artery Diseases, Cerebrovascular Disorders, Coronary Disease, Female, Humans, Male, Medical Records, Prevalence, Regression Analysis, Risk Factors, Ultrasonography}, issn = {0039-2499}, doi = {10.1161/01.str.23.12.1752}, author = {O{\textquoteright}Leary, D H and Polak, J F and Kronmal, R A and Kittner, S J and Bond, M G and Wolfson, S K and Bommer, W and Price, T R and Gardin, J M and Savage, P J} } @article {808, title = {Eligibility for cholesterol referral in community-dwelling older adults. The Cardiovascular Health Study.}, journal = {Ann Intern Med}, volume = {116}, year = {1992}, month = {1992 Apr 15}, pages = {641-9}, abstract = {

OBJECTIVES: To assess the proportion of community-dwelling adults aged 65 years or older who are eligible for referral for lipoprotein analysis and intervention according to the National Cholesterol Education Program (NCEP) guidelines.

DESIGN: Cross-sectional study based on examinations and questionnaires collected in 1989 and 1990.

SETTING: Four communities in the U.S. in the Cardiovascular Health Study (CHS), a study of risk factors for heart disease and stroke in older adults.

PARTICIPANTS: A sample of 4810 men and women ages 65 to 100 randomly selected and recruited from Health Care Financing Administration Medicare eligibility lists for the four communities; not institutionalized, not wheelchair-bound, not currently receiving therapy for cancer, not currently taking lipid-lowering medications, and not having eaten in the preceding 9 hours.

MEASUREMENTS: Total cholesterol and lipoprotein analysis measured in all participants.

RESULTS: Total cholesterol levels were less than 5.17 mmol/L (200 mg/dL) in 37\% of participants, 5.17 to 6.19 mmol/L (200 to 239 mg/dL) in 39\%, and 6.20 mmol/L (240 mg/dL) or greater in 24\%. Compared with their counterparts, older participants, especially those over 80 years of age, were more likely to have levels below 5.17 mmol/L, as were men, nonwhites, and those with coronary heart disease or two or more coronary heart disease risk factors (P less than 0.008 for all values). Based on this screening measurement, 2174 participants were eligible for lipoprotein analysis, 80\% were eligible for dietary or drug therapy using NCEP guidelines. Overall, 46\% of CHS participants were eligible for lipoprotein analysis and 36\% for intervention by NCEP guidelines, based on a single cholesterol measurement.

CONCLUSION: A substantial proportion of older adults in this community sample were eligible for lipoprotein analysis and intervention. Prospective studies of elderly persons are needed to determine the risk for incident coronary heart disease according to NCEP classifications and the benefits of lipid-lowering treatments in persons in this age group so that intervention strategies may best be targeted to an appropriately high-risk group.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Cerebrovascular Disorders, Cholesterol, LDL, Coronary Disease, Eligibility Determination, Female, Humans, Hypercholesterolemia, Longitudinal Studies, Male, Primary Prevention, Referral and Consultation, Risk Factors, United States}, issn = {0003-4819}, doi = {10.7326/0003-4819-116-8-641}, author = {Manolio, T A and Furberg, C D and Wahl, P W and Tracy, R P and Borhani, N O and Gardin, J M and Fried, L P and O{\textquoteright}Leary, D H and Kuller, L H} } @article {748, title = {Isolated systolic hypertension and subclinical cardiovascular disease in the elderly. Initial findings from the Cardiovascular Health Study.}, journal = {JAMA}, volume = {268}, year = {1992}, month = {1992 Sep 09}, pages = {1287-91}, abstract = {

OBJECTIVE: To assess the association between isolated systolic hypertension (ISH) and subclinical disease in adults aged 65 years and above.

DESIGN: Medicare eligibility lists were used to obtain a representative sample of 5201 community-dwelling elderly persons for the Cardiovascular Health Study, a National Heart, Lung, and Blood Institute--sponsored cohort study of risk factors for coronary heart disease and stroke. In this cross-sectional analysis of baseline data, we excluded 3012 participants who were receiving antihypertensive medications, had clinical cardiovascular disease, or had a diastolic blood pressure of at least 90 mm Hg.

MAIN OUTCOME MEASURES: For electrocardiogram: myocardial infarction, left ventricular hypertrophy, and left ventricular mass as measures of myocardial damage and strain; for echocardiography: left ventricular mass, fractional shortening, and Doppler flow velocities as measures of cardiac systolic and diastolic function; and for carotid sonography: carotid arterial intima-media thickness as a measure of atherosclerosis.

RESULTS: Among the 2189 men and women in this analysis, 195 (9\%) had ISH (systolic blood pressure, greater than or equal to 160 mm Hg) and 596 (23\%) had borderline ISH (systolic blood pressure, 140 to 159 mm Hg). Systolic blood pressure was associated with myocardial infarction by electrocardiogram (P = .02). Borderline and definite ISH were strongly associated with left ventricular mass (P less than .001). While there was little association with cardiac systolic function, borderline and definite ISH were associated with cardiac diastolic function (P less than .001). Isolated systolic hypertension was also strongly associated with increased intima-media thickness of the carotid artery (P less than .001).

CONCLUSIONS: While cohort analyses of future repeated measures will provide a better assessment of risk, both borderline and definite ISH were strongly related to a variety of measures of subclinical disease in elderly men and women.

}, keywords = {Aged, Aged, 80 and over, Cardiomegaly, Cardiovascular Diseases, Carotid Artery Diseases, Cerebrovascular Disorders, Coronary Disease, Cross-Sectional Studies, Echocardiography, Electrocardiography, Female, Humans, Hypertension, Male, Myocardial Infarction, Prospective Studies, Risk Factors, Systole}, issn = {0098-7484}, author = {Psaty, B M and Furberg, C D and Kuller, L H and Borhani, N O and Rautaharju, P M and O{\textquoteright}Leary, D H and Bild, D E and Robbins, J and Fried, L P and Reid, C} } @article {781, title = {Lipoprotein lipids in older people. Results from the Cardiovascular Health Study. The CHS Collaborative Research Group.}, journal = {Circulation}, volume = {86}, year = {1992}, month = {1992 Sep}, pages = {858-69}, abstract = {

BACKGROUND: Cardiovascular disease is the leading cause of death and disability in older people. There is little information about the distributions of risk factors in older populations. This article describes the distribution and correlates of lipoprotein lipids in people greater than or equal to 65 years old.

METHODS AND RESULTS: Lipoprotein lipid concentrations were measured in 2,106 men (M) and 2,732 women (F) who were participants in the Cardiovascular Health Study, a population-based epidemiological study. Distributions of lipids by age and sex and bivariate and multivariate relations among lipids and other variables were determined in cross-sectional analyses. Mean concentrations of lipids were cholesterol: M, 5.20 +/- 0.93 mmol/l (201 +/- 36 mg/dl) and F, 5.81 +/- 0.98 mmol/l (225 +/- 38 mg/dl); triglyceride (TG): M, 1.58 +/- 0.85 mmol/l (140 +/- 75 mg/dl) and F, 1.57 +/- 0.78 mmol/l (139 +/- 69 mg/dl); high density lipoprotein cholesterol (HDL-C): M, 1.23 +/- 0.33 mmol/l (48 +/- 16 mg/dl), and F, 1.53 +/- 0.41 mmol/l (59 +/- 16 mg/dl); low density lipoprotein cholesterol (LDL-C): M, 3.27 +/- 0.85 mmol/l (127 +/- 33 mg/dl) and F, 3.57 +/- 0.93 mmol/l (138 +/- 36 mg/dl). The total cholesterol to HDL-C ratios were M, 4.49 +/- 1.29 and F, 4.05 +/- 1.22. TG, total cholesterol, and LDL-C concentrations were lower with increasing age, the last more evident in men than in women. TG concentration was positively associated with obesity (in women), central fat patterning, glucose intolerance, use of beta-blockers (in men), and use of estrogens (in women) and negatively associated with age, renal function, alcohol use, and socioeconomic status. In general, HDL-C had opposite relations with these variables, except that estrogen use was associated with higher HDL-C concentrations. LDL-C concentration was associated with far fewer variables than the other lipids but was negatively associated with age in men and women and positively correlated with obesity and central fat patterning and negatively correlated with renal function and estrogen use in women. There were no differences in total cholesterol and LDL-C concentrations among participants with and without prevalent coronary heart disease and stroke, but TG concentration was higher and HDL-C lower in men with both coronary heart disease and stroke and in women with coronary heart disease.

CONCLUSIONS: Cholesterol and cholesterol/HDL-C ratio were lower and HDL-C higher than previously reported values in older people, suggesting that lipid risk profiles may be improving in older Americans. TG and HDL-C concentrations, and to a lesser extent LDL-C, were associated with potentially important modifiable factors such as obesity, glucose intolerance, renal function, and medication use.

}, keywords = {Aged, Aging, Cardiovascular Diseases, Cardiovascular Physiological Phenomena, Cholesterol, HDL, Cholesterol, LDL, Cross-Sectional Studies, Female, Health Status, Humans, Lipids, Lipoproteins, Male, Multivariate Analysis, Triglycerides}, issn = {0009-7322}, doi = {10.1161/01.cir.86.3.858}, author = {Ettinger, W H and Wahl, P W and Kuller, L H and Bush, T L and Tracy, R P and Manolio, T A and Borhani, N O and Wong, N D and O{\textquoteright}Leary, D H} } @article {1431, title = {Assessment of cerebrovascular disease in the Cardiovascular Health Study.}, journal = {Ann Epidemiol}, volume = {3}, year = {1993}, month = {1993 Sep}, pages = {504-7}, abstract = {

The Cardiovascular Health Study (CHS) is a longitudinal population-based study of coronary heart disease and stroke in men and women 65 years and older. The initial CHS cohort consisted of 5201 men and women recruited from a random sample of the Health Care Financing Administration (HCFA) Medicare eligibility lists in four communities in the United States. Extensive historical, physical, and laboratory evaluations were performed at the baseline examination in 1989 to 1990 to identify risk factors and subclinical disease. Periodic contacts are carried out to ascertain and verify incident cardiac and stroke events and their sequelae. Since only a short time has passed since entry of all the patients into the study, data are not available on time trends in the mortality rate of stroke, but we expect to contribute in this area in the years ahead. This article then is a description of the CHS, of methods of assessing stroke in the CHS cohort, and of prevalence of stroke and transient ischemic attacks at the initial examination.

}, keywords = {Aged, Aged, 80 and over, Cerebrovascular Disorders, Cohort Studies, Coronary Disease, Female, Humans, Ischemic Attack, Transient, Longitudinal Studies, Male, Prevalence}, issn = {1047-2797}, author = {Price, T R and Psaty, B and O{\textquoteright}Leary, D and Burke, G and Gardin, J} } @article {1435, title = {Associations of postmenopausal estrogen use with cardiovascular disease and its risk factors in older women. The CHS Collaborative Research Group.}, journal = {Circulation}, volume = {88}, year = {1993}, month = {1993 Nov}, pages = {2163-71}, abstract = {

BACKGROUND: Postmenopausal estrogen replacement therapy has been associated with favorable levels of cardiovascular disease risk factors, but these associations and the relations between estrogen use and subclinical disease have not been examined in large samples of older women.

METHODS AND RESULTS: Present and past estrogen use was ascertained in 2955 women > or = 65 years old in the Cardiovascular Health Study, a study of risk factors for coronary heart disease and stroke in the elderly. Present estrogen use was reported by 12\% of these women and past use by an additional 26.5\%. Estrogen use (past or present) was strongly associated with lower low-density lipoprotein cholesterol, fibrinogen, glucose, insulin, obesity, and age and higher high-density lipoprotein cholesterol and socioeconomic status (all P < .0001). Estrogen users also had lower levels of subclinical disease as measured by carotid intimal-medial thickness, carotid stenosis grade, ECG left ventricular mass, and Doppler mitral peak flow velocities (each P < .02). Relations were similar in younger and older women (65 to 74 versus > or = 75 years) and smokers and nonsmokers and were unchanged after women with poor medication compliance were excluded. After adjustment for other factors, estrogen use was associated with decreased carotid wall thickness, although this association was of borderline significance after further adjustment for lipids.

CONCLUSIONS: Postmenopausal estrogen use in this sample of older women was associated with favorable cardiovascular disease risk factor profiles and with lower measures of subclinical disease. These findings suggest that postmenopausal estrogen use may be associated with lower risk of cardiovascular disease in women well into the eighth decade of life.

}, keywords = {Aged, Aging, Cardiovascular Diseases, Carotid Arteries, Carotid Stenosis, Electrocardiography, Estrogen Replacement Therapy, Female, Heart, Heart Ventricles, Humans, Patient Compliance, Risk Factors, Smoking, Ultrasonography}, issn = {0009-7322}, author = {Manolio, T A and Furberg, C D and Shemanski, L and Psaty, B M and O{\textquoteright}Leary, D H and Tracy, R P and Bush, T L} } @article {1446, title = {Prevalence of cardiovascular diseases among older adults. The Cardiovascular Health Study.}, journal = {Am J Epidemiol}, volume = {137}, year = {1993}, month = {1993 Feb 01}, pages = {311-7}, abstract = {

The Cardiovascular Health Study is a population-based longitudinal study of 5,201 adults aged 65 years and older. Prevalences of myocardial infarction, angina pectoris, congestive heart failure, peripheral artery disease, stroke, and transient ischemic attack were ascertained between June 1989 and May 1990 in participants recruited from Forsyth County, North Carolina; Washington County, Maryland; Sacramento County, California; and Pittsburgh, Pennsylvania. A medical history was taken to obtain self-reports of prevalent disease. For all participants, use of nitrates was ascertained to document angina, electrocardiograms were used to document prevalent myocardial infarction, and ankle-arm blood pressure studies were used to document peripheral artery disease. Self-reports of disease that were not confirmed by examination findings were further investigated by examination of medical records. Reported disease that was confirmed by examination findings or by medical records was classified as "definite." Disease that was documented by examination, but not reported by the participant, was classified as "unreported." The prevalence rates of definite myocardial infarction and angina were 11\% and 15\%, respectively, among men aged 65-69 years, 18\% and 17\% among men aged 80-84 years, 4\% and 8\% among women aged 65-69 years, and 3\% and 13\% among women aged 80-84 years. Twenty-three percent of men and 38\% of women with electrocardiographic evidence of myocardial infarction did not report it. These results suggest that prevalent disease estimates based only on self-report may underestimate the prevalence of cardiovascular diseases in older Americans.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Bias, California, Cardiovascular Diseases, Electrocardiography, Female, Health Surveys, Humans, Longitudinal Studies, Male, Maryland, Mass Screening, North Carolina, Pennsylvania, Population Surveillance, Prevalence, Reproducibility of Results}, issn = {0002-9262}, author = {Mittelmark, M B and Psaty, B M and Rautaharju, P M and Fried, L P and Borhani, N O and Tracy, R P and Gardin, J M and O{\textquoteright}Leary, D H} } @article {1440, title = {Sonographic evaluation of carotid artery atherosclerosis in the elderly: relationship of disease severity to stroke and transient ischemic attack.}, journal = {Radiology}, volume = {188}, year = {1993}, month = {1993 Aug}, pages = {363-70}, abstract = {

Doppler and real-time ultrasound (US) were performed to evaluate the extent of atherosclerotic changes in the carotid artery and to assess their relationship to prevalent cerebrovascular disease. Real-time US scans and Doppler measurements of the carotid arteries were analyzed in 5,201 subjects aged 65 years or older. Severity of atherosclerotic lesions was associated with increased frequencies of hyperechoic, irregular, and heterogeneous textured lesions (P < .0001). The severity of internal carotid artery stenosis was associated with thickening of the intima-media layer of the common carotid artery wall (r = .37, P < .0001). A history of stroke and transient ischemic attack (TIA) was more likely when hyperechoic, heterogeneous, and irregular lesions were seen in the carotid artery. Internal carotid artery stenosis correlated better with prevalent stroke and TIA than did sonographic descriptions of plaque texture. However, the prevalence of hyperechoic, heterogeneous, and irregular lesions increased as the degree of internal carotid stenosis increased. On real-time images alone, the average of the internal carotid artery maximal wall thickness is the sonographic measure of atherosclerosis that enables the best prediction of prevalent stroke and TIA.

}, keywords = {Aged, Arteriosclerosis, Carotid Artery Diseases, Carotid Artery, Internal, Carotid Stenosis, Cerebrovascular Disorders, Female, Humans, Ischemic Attack, Transient, Male, Ultrasonography}, issn = {0033-8419}, doi = {10.1148/radiology.188.2.8327679}, author = {Polak, J F and O{\textquoteright}Leary, D H and Kronmal, R A and Wolfson, S K and Bond, M G and Tracy, R P and Gardin, J M and Kittner, S J and Price, T R and Savage, P J} } @article {1438, title = {Magnetic resonance abnormalities and cardiovascular disease in older adults. The Cardiovascular Health Study.}, journal = {Stroke}, volume = {25}, year = {1994}, month = {1994 Feb}, pages = {318-27}, abstract = {

BACKGROUND AND PURPOSE: Cerebral magnetic resonance imaging often detects abnormalities whose significance is unknown. The prevalence and correlates of findings such as ventricular enlargement, sulcal widening, and increased white matter signal intensity were examined in 303 men and women aged 65 to 95 years participating in a multicenter study of cardiovascular disease.

METHODS: Cerebral magnetic resonance imaging was performed and interpreted according to a standard protocol, and findings were correlated with measures of cardiovascular disease and its risk factors.

RESULTS: Measures of cerebral atrophy increased with age and were greater in men than in women (each P < .01). Ventricular enlargement and sulcal widening were associated with prior stroke, hypertension, diabetes, and white race (each P < .03). Extent of white matter hyperintensity was associated with age, prior stroke, hypertension, and use of diuretics (each P < .004). On multivariate analysis, age, male gender, white race, and prior stroke retained strong associations with increased ventricular and sulcal scores. After adjustment for age, prior stroke, and other risk factors, white matter hyperintensity was associated with atherosclerosis as measured by increased internal carotid artery thickness on ultrasound.

CONCLUSIONS: Cerebral atrophy and white matter hyperintensity are common in the elderly and are associated with age, prior stroke, and known cardiovascular risk factors. Though these findings have been suggested to represent normal aging, their wide variability and associations with cardiovascular disease argue against their inevitability with advancing age and support the need to identify modifiable risk factors for these abnormalities.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Analysis of Variance, Atrophy, Brain, Cerebral Ventricles, Cerebrovascular Disorders, Female, Humans, Magnetic Resonance Imaging, Male, Regression Analysis, Risk Factors, Sex Factors}, issn = {0039-2499}, author = {Manolio, T A and Kronmal, R A and Burke, G L and Poirier, V and O{\textquoteright}Leary, D H and Gardin, J M and Fried, L P and Steinberg, E P and Bryan, R N} } @article {1434, title = {Prevalence of subclinical atherosclerosis and cardiovascular disease and association with risk factors in the Cardiovascular Health Study.}, journal = {Am J Epidemiol}, volume = {139}, year = {1994}, month = {1994 Jun 15}, pages = {1164-79}, abstract = {

The prevalence of subclinical atherosclerosis and cardiovascular disease was evaluated among the 5,201 adults aged > or = 65 years in four communities participating in the Cardiovascular Health Study from June 1989 through May 1990. A combined index based on electrocardiogram and echocardiogram abnormalities, carotid artery wall thickness and stenosis based on carotid ultrasound, decreased ankle-brachial blood pressure, and positive response to a Rose Questionnaire for angina or intermittent claudication defined subclinical disease. The prevalence of subclinical disease was 36\% in women and 38.7\% in men and increased with age. Among women, low-density lipoprotein cholesterol, systolic blood pressure, blood glucose, and cigarette smoking were positively associated, and high-density lipoprotein cholesterol negatively associated, with subclinical disease. In men, systolic blood pressure, blood glucose, and cigarette smoking were independent risk factors in multiple logistic regression analyses. The risk factors for subclinical disease are, therefore, similar to those for clinical disease at younger ages, especially among women. It is possible that older individuals with subclinical disease are at very high risk of developing clinical disease and that more aggressive interventions to prevent clinical disease should be oriented to individuals with subclinical disease.

}, keywords = {Aged, Aged, 80 and over, Arteriosclerosis, Cardiovascular Diseases, Female, Humans, Logistic Models, Longitudinal Studies, Male, Prevalence, Risk Factors, United States}, issn = {0002-9262}, author = {Kuller, L and Borhani, N and Furberg, C and Gardin, J and Manolio, T and O{\textquoteright}Leary, D and Psaty, B and Robbins, J} } @article {1414, title = {Black-white differences in subclinical cardiovascular disease among older adults: the Cardiovascular Health Study. CHS Collaborative Research Group.}, journal = {J Clin Epidemiol}, volume = {48}, year = {1995}, month = {1995 Sep}, pages = {1141-52}, abstract = {

Cardiovascular and all-cause mortality are higher in black than white Americans, but racial differences in clinical and subclinical cardiovascular disease (CVD) have not been examined in older adults. Clinical and subclinical CVD and its risk factors were compared in 4926 white and 244 black men and women aged 65 years and older. Black participants had lower socioeconomic status and generally higher prevalences of CVD and its risk factors, except for adverse lipid profiles. Common carotid wall thickness was greater in black than white women, and ankle-arm blood pressure ratios were lower in black women and men (p < 0.01). After adjustment for CVD risk factors, common carotid walls were significantly thicker and ankle-arm ratios were lower in blacks than whites of both sexes, while internal carotid walls were significantly thinner in black women. Racial differences in clinical and subclinical CVD in older adults are similar to those reported in younger populations and do not appear to be explained by CVD risk factors.

}, keywords = {African Continental Ancestry Group, Aged, Cardiovascular Diseases, Carotid Arteries, European Continental Ancestry Group, Female, Geriatric Assessment, Humans, Male, Multivariate Analysis, Prevalence, Regression Analysis, Risk Factors, Sex Factors}, issn = {0895-4356}, author = {Manolio, T A and Burke, G L and Psaty, B M and Newman, A B and Haan, M and Powe, N and Tracy, R P and O{\textquoteright}Leary, D H} } @article {1422, title = {Sex, age, and disease affect echocardiographic left ventricular mass and systolic function in the free-living elderly. The Cardiovascular Health Study.}, journal = {Circulation}, volume = {91}, year = {1995}, month = {1995 Mar 15}, pages = {1739-48}, abstract = {

BACKGROUND: Left ventricular (LV) hypertrophy, as measured by M-mode echocardiography, is an independent predictor of mortality and/or morbidity from coronary heart disease (CHD). LV global and segmental systolic dysfunction also have been associated with myocardial ischemia and cardiovascular morbidity and mortality. Echocardiographic data, especially two-dimensional, have not been available previously from multicenter-based studies of the elderly. This report describes the distribution and relation at baseline of echocardiographic LV mass and global and segmental LV wall motion to age, sex, and clinical disease category in the Cardiovascular Health Study (CHS), a cohort of 5201 men and women (4850 white) 65 years of age and older.

METHODS AND RESULTS: M-mode LV mass adjusted for body weight increased modestly with age (P < .0001), increasing less than one gram per year increase in age for both men and women. After adjustment for weight, LV mass was significantly greater in men than in women and in participants with clinical CHD compared with participants with neither clinical heart disease nor hypertension (both P < .001). Across all CHS age subgroups, the difference in weight-adjusted LV mass by sex was greater in magnitude than the difference related to clinical CHD. M-mode measurements of LV mass could not be made in 34\% of CHS participants, and this was highly related to age (29\% in the 65 to 69 year versus 50\% in the 85+ year age group, P < .001) and other risk factors. In participants with clinical CHD and with neither clinical heart disease nor hypertension, LV ejection fraction and segmental wall motion abnormalities were more prevalent in men than women (all P < .001). Of interest, 0.5\% of men and 0.4\% of women with neither clinical heart disease nor hypertension had LV segmental wall motion abnormalities, suggesting silent disease, compared with 26\% of men and 10\% of women in the clinical CHD group (P < .0001). Multivariate analyses revealed male sex and presence of clinical CHD (both P < .001) to be independent predictors of LV akinesis or dyskinesis.

CONCLUSIONS: Significant baseline relations were detected between differences in sex, prevalent disease status, and echocardiographic measurements of LV mass and systolic function in the CHS cohort. Age was weakly associated with LV mass measurements and LV ejection fraction abnormalities. These relations should be considered in evaluating the preclinical and clinical effects of CHD risk factors in the elderly.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Aging, Cohort Studies, Coronary Disease, Echocardiography, Female, Humans, Hypertrophy, Left Ventricular, Male, Sex Factors, Systole}, issn = {0009-7322}, author = {Gardin, J M and Siscovick, D and Anton-Culver, H and Lynch, J C and Smith, V E and Klopfenstein, H S and Bommer, W J and Fried, L and O{\textquoteright}Leary, D and Manolio, T A} } @article {1415, title = {Subclinical disease as an independent risk factor for cardiovascular disease.}, journal = {Circulation}, volume = {92}, year = {1995}, month = {1995 Aug 15}, pages = {720-6}, abstract = {

BACKGROUND: The primary aim of the present study was to determine the relation between measures of subclinical cardiovascular disease and the incidence of clinical cardiovascular disease among 5201 adults 65 years of age or older who were participating in the Cardiovascular Health Study.

METHODS AND RESULTS: A new method of classifying subclinical disease at baseline examination in the Cardiovascular Health Study included measures of ankle-brachial blood pressure, carotid artery stenosis and wall thickness, ECG and echocardiographic abnormalities, and positive response to the Rose Angina and Claudication Questionnaire. Participants were followed for an average of 2.39 years (maximum, 3 years). For participants without evidence of clinical cardiovascular disease at baseline, the presence of subclinical disease compared with no subclinical disease was associated with a significant increased risk of incident total coronary heart disease including CHD deaths and nonfatal MI and angina pectoris for both men and women. For individuals with subclinical disease, the increased risk of total coronary heart disease was 2.0 for men and 2.5 for women, and the increased risk of total mortality was 2.9 for men and 1.7 for women. The increased risk changed little after adjustment for other risk factors, including lipoprotein levels, blood pressure, smoking, and diabetes.

CONCLUSIONS: The measurement of subclinical disease provides an approach for identifying high-risk older individuals who may be candidates for more active intervention to prevent clinical disease.

}, keywords = {Aged, Cardiovascular Diseases, Cohort Studies, Coronary Disease, Female, Humans, Incidence, Longitudinal Studies, Male, Myocardial Infarction, Odds Ratio, Reference Values, Risk Factors}, issn = {0009-7322}, author = {Kuller, L H and Shemanski, L and Psaty, B M and Borhani, N O and Gardin, J and Haan, M N and O{\textquoteright}Leary, D H and Savage, P J and Tell, G S and Tracy, R} } @article {1454, title = {Carotid artery measures are strongly associated with left ventricular mass in older adults (a report from the Cardiovascular Health Study).}, journal = {Am J Cardiol}, volume = {77}, year = {1996}, month = {1996 Mar 15}, pages = {628-33}, abstract = {

Associations of carotid artery diameter and intimal-medial thickness by ultrasound with echocardiographic left ventricular (LV) structure were examined in 3,409 participants in the Cardiovascular Health Study, a population-based study of risk factors for coronary heart disease and stroke in men and women aged > or = 65 years. At baseline, sector-guided M-mode echocardiography and B-mode ultrasound were used to evaluate the left ventricle and carotid arteries, respectively. Common carotid artery diameter and intimal-medial thickness were significantly related to LV mass in correlational analysis (r=0.40 and 0.20, respectively, p<0.01), and each was independently associated with LV mass after adjustment for age, gender, weight, systolic and diastolic blood pressure, antihypertensive medication use, prior coronary heart disease, electrocardiographic abnormalities, high-density lipoprotein, and factor VII. We speculate that changes in the arterial wall affect impedance to LV ejection leading to increases in LV mass. Further follow-up of this cohort is in progress and will help to determine whether such carotid artery measures could, by exacerbating LV hypertrophy, constitute another important risk factor for adverse cardiovascular outcomes.

}, keywords = {Aged, Carotid Arteries, Cohort Studies, Female, Heart Ventricles, Humans, Hypertrophy, Left Ventricular, Male, Regression Analysis, Risk Factors, Ultrasonography}, issn = {0002-9149}, author = {Kronmal, R A and Smith, V E and O{\textquoteright}Leary, D H and Polak, J F and Gardin, J M and Manolio, T A} } @article {1460, title = {Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people. The Cardiovascular Health Study.}, journal = {Stroke}, volume = {27}, year = {1996}, month = {1996 Aug}, pages = {1274-82}, abstract = {

BACKGROUND AND PURPOSE: Our aim was to identify potential risk factors for and clinical manifestations of white matter findings on cranial MRI in elderly people.

METHODS: Medicare eligibility lists were used to obtain a representative sample of 5888 community-dwelling people aged 65 years or older. Correlates of white matter findings were sought among 3301 participants who underwent MRI scanning and denied a history of stroke or transient ischemic attack. Participants underwent extensive standardized evaluations at baseline and on follow-up, including standard questionnaires, physical examination, multiple blood tests, electrocardiogram, pulmonary function tests, carotid sonography, and M-mode echocardiography. Neuroradiologists graded white matter findings from 0 (none) to 9 (maximal) without clinical information.

RESULTS: Many potential risk factors were related to the white matter grade, but in the multivariate model the factors significantly (all P < .01) and independently associated with increased grade were greater age, clinically silent stroke on MRI, higher systolic blood pressure, lower forced expiratory volume in 1 second (FEV1), and income less than $50,000 per year. If excluded, FEV1 was replaced in the model by female sex, history of smoking, and history of physician-diagnosed hypertension at the baseline examination. Many clinical features were correlated with the white matter grade, especially those indicating impaired cognitive and lower extremity function.

CONCLUSIONS: White matter findings were significantly associated with age, silent stroke, hypertension, FEV1, and income. The white matter findings may not be considered benign because they are associated with impaired cognitive and lower extremity function.

}, keywords = {Age Factors, Aged, Aging, Blood Pressure, Brain, Cardiovascular Diseases, Cerebrovascular Disorders, Cohort Studies, Female, Humans, Ischemic Attack, Transient, Magnetic Resonance Imaging, Male, Multivariate Analysis, Risk Factors, Sex Factors}, issn = {0039-2499}, author = {Longstreth, W T and Manolio, T A and Arnold, A and Burke, G L and Bryan, N and Jungreis, C A and Enright, P L and O{\textquoteright}Leary, D and Fried, L} } @article {1466, title = {Compensatory increase in common carotid artery diameter. Relation to blood pressure and artery intima-media thickness in older adults. Cardiovascular Health Study.}, journal = {Stroke}, volume = {27}, year = {1996}, month = {1996 Nov}, pages = {2012-5}, abstract = {

BACKGROUND AND PURPOSE: Common carotid artery (CCA) diameter is thought to increase as a consequence of hypertension and may increase as the thickness of the arterial wall increases. The purpose of this study was to determine CCA dimensions and correlate them with clinical features.

METHODS: We performed a cross-sectional, community-based study of adults 65 years of age and older, measuring inner and outer diameter of the CCA in vivo with carotid sonography. Findings were correlated against risk factors for atherosclerosis, CCA intima-media thickness (IMT), and echocardiographically determined left ventricular (LV) mass.

RESULTS: Independent variables showing strong positive associations with outer and inner CCA diameter included age, male sex, height, weight, and systolic blood pressure. As an independent variable, LV mass (r = .40 and r = .37, respectively; P < .00001) had a strong positive relation to inner and outer CCA diameters. The relationship between diameter and IMT was different. In a model that controlled for age, sex, and estimated LV mass, an increase of 1 mm in CCA IMT corresponded to a 1.9 mm increase in the outer diameter of the artery (P < .00001) but was not significantly related to the inner diameter (slope = +0.07 mm; P = .26).

CONCLUSIONS: Increase in the outer diameter of the CCA is associated with subject size, sex, age, echocardiographically estimated LV mass, and CCA IMT. Increases in internal diameter of the CCA have similar relationships but are not related to IMT. This supports the hypothesis that the human CCA dilates as the thickness of the artery wall increases.

}, keywords = {Aged, Blood Pressure, Carotid Artery, Common, Cross-Sectional Studies, Echocardiography, Female, Heart Ventricles, Humans, Hypertension, Male, Tunica Intima, Tunica Media}, issn = {0039-2499}, author = {Polak, J F and Kronmal, R A and Tell, G S and O{\textquoteright}Leary, D H and Savage, P J and Gardin, J M and Rutan, G H and Borhani, N O} } @article {1459, title = {Risk factors for abdominal aortic aneurysms in older adults enrolled in The Cardiovascular Health Study.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {16}, year = {1996}, month = {1996 Aug}, pages = {963-70}, abstract = {

B-mode ultrasound examinations of the abdominal aorta were performed from 1990 to 1992 to evaluate the prevalence of abdominal aortic aneurysm (AAA) in a subgroup of the Pittsburgh cohort (656 participants, aged 65 to 90 years) of the Cardiovascular Health Study (CHS). In this pilot study, we evaluated various definitions of aneurysm and the reproducibility of the measurements. In year 5 (1992 to 1993) of the CHS, the entire cohort (4741 participants) was examined. AAA was defined as an infrarenal aortic diameter of > or= 3.0 cm, or a ratio of infrarenal to suprarenal diameter of > or= 1.2, or a history of AAA repair. For the entire CHS cohort, prevalence of aneurysms was 9.5\% (451/4741) overall, with a prevalence among men of 14.2\% (278/1956) and prevalence among women of 6.2\% (173/2785). Variables significantly related to AAA were older age; male sex; history of angina, coronary heart disease, and myocardial infarction; lower ankle-arm blood pressure ratio; higher maximum carotid stenosis; greater intima-media thickness of the internal carotid artery; higher creatinine; lower HDL levels and higher LDL levels; and cigarette smoking. The study has documented the strong association of cardiovascular risk factors and measures of clinical and subclinical atherosclerosis and cardiovascular disease and prevalence of aneurysms. We used a definition that is more sensitive than previously reported (diameter or ratio), which allowed the detection of smaller aneurysms and possibly those at an earlier stage of development. Follow-up of this cohort may lead to new criteria for determining the risk factors for progression of aneurysms.

}, keywords = {Aged, Anthropometry, Aortic Aneurysm, Abdominal, Blood Pressure, Cardiovascular Diseases, Cohort Studies, Comorbidity, Female, Humans, Male, Middle Aged, Pilot Projects, Prevalence, Reproducibility of Results, Risk Factors, Smoking, Ultrasonography, United States}, issn = {1079-5642}, author = {Alcorn, H G and Wolfson, S K and Sutton-Tyrrell, K and Kuller, L H and O{\textquoteright}Leary, D} } @article {1463, title = {Short-term predictors of incident stroke in older adults. The Cardiovascular Health Study.}, journal = {Stroke}, volume = {27}, year = {1996}, month = {1996 Sep}, pages = {1479-86}, abstract = {

BACKGROUND AND PURPOSE: Risk factors for incident stroke have been examined in middle-aged persons, but less is known about stroke precursors in the elderly, who suffer the highest rates of stroke. Short-term risk factors for incident stroke were examined in a longitudinal, population-based study including extensive measures of subclinical disease.

METHODS: Prospective study of 5201 women and men aged 65 years and older was undertaken in the multicenter Cardiovascular Health Study.

RESULTS: During an average 3.31-year follow-up, 188 incident strokes occurred. Stroke incidence increased significantly with age and was similar in women and men. Factors associated with increased stroke risk in multivariate analysis included age, aspirin use, diabetes, impaired glucose tolerance, higher systolic blood pressure, increased time needed to walk 15 ft. frequent falls, elevated creatinine level, abnormal left ventricular (LV) wall motion and increased LV mass on echocardiography, ultrasound-defined carotid stenosis, and atrial fibrillation. Increased LV mass and carotid stenosis were associated with twofold and threefold increases in incidences of stroke, respectively (P < .001). Aspirin users had a 52\% higher risk of stroke (relative risk, 1.52; 95\% confidence interval, 1.1 to 2.0; P < .007) after adjustment for other factors. This association was present only among aspirin users without prior coronary disease, atrial fibrillation, claudication, or transient ischemic attack, who had an 84\% higher risk (relative risk, 1.84; 95\% confidence interval, 1.2 to 2.8).

CONCLUSIONS: Short-term risk of stroke has a complex relationship with aspirin use and is strongly related to subclinical disease in this sample of older adults. These relationships should be considered in assessing stroke risk in the elderly, in whom recognized and subclinical cardiovascular disease is highly prevalent.

}, keywords = {Age Factors, Aged, Cardiovascular Physiological Phenomena, Cerebrovascular Disorders, Cohort Studies, Female, Health Status, Humans, Incidence, Longitudinal Studies, Male, Multivariate Analysis, Prognosis, Proportional Hazards Models, Prospective Studies, Risk Factors, Sex Factors, Time Factors}, issn = {0039-2499}, author = {Manolio, T A and Kronmal, R A and Burke, G L and O{\textquoteright}Leary, D H and Price, T R} } @article {1453, title = {Thickening of the carotid wall. A marker for atherosclerosis in the elderly? Cardiovascular Health Study Collaborative Research Group.}, journal = {Stroke}, volume = {27}, year = {1996}, month = {1996 Feb}, pages = {224-31}, abstract = {

BACKGROUND AND PURPOSE: We investigated the relationships between prevalent coronary heart disease (CHD), clinically manifest atherosclerotic disease (ASD), and major established risk factors for atherosclerosis and intima-media thickness (IMT) in the common carotid arteries (CCA) and internal carotid arteries (ICA) separately and in combination in older adults. We wished to determine whether a noninvasive measurement can serve as an indicator of clinically manifest atherosclerotic disease and to determine which of the two variables, CCA IMT or ICA IMT, is a better correlate.

METHODS: IMT of the CCA and ICA was measured with duplex ultrasound in 5117 of 5201 individuals enrolled in the Cardiovascular Health Study, a study of the risk factors and the natural history of cardiovascular disease in adults aged 65 years or more. Histories of CHD, peripheral arterial disease, and cerebrovascular disease were obtained during baseline examination. Risk factors included cholesterol levels, cigarette smoking, elevated blood pressure, diabetes, age, and sex. Relationships between risk factors and IMT were studied by multiple regression analysis and canonical variate analysis. Prediction of prevalent CHD and ASD by IMT measurements in CCAs and ICAs were made by logistic regression, adjusting for age and sex.

RESULTS: IMT measurements of the CCAs and ICAs were greater in persons with CHD and ASD than those without, even after controlling for sex (P < .001). IMT measurements in the ICA were greater than those in the CCA. Risk factors for ASD accounted for 17\% and 18\% of the variability in IMT in the CCA and ICA, respectively. These same risk factors accounted for 25\% of the variability of a composite measurement consisting of the sum of the ICA IMT and CCA IMT. The ability to predict CHD and ASD was greater for ICA IMT (odds ratio [confidence interval]: 1.36 [1.31 to 1.41] and 1.35 [1.25 to 1.44], respectively) than for CCA IMT (1.09 [1.05 to 1.13] and 1.17 [1.09 to 1.25]).

CONCLUSIONS: Whereas CCA IMT is associated with major risk factors for atherosclerosis and existing CHD and ASD in older adults, this association is not as strong as that for ICA IMT. The combination of these measures relates more strongly to existing CHD and ASD and cerebrovascular disease risk factors than either taken alone.

}, keywords = {Adult, Aged, Arteriosclerosis, Blood Pressure, Carotid Artery, Common, Carotid Artery, Internal, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Coronary Disease, Diabetes Mellitus, Diabetic Angiopathies, Electrocardiography, Female, Humans, Male, Medical History Taking, Physical Examination, Prospective Studies, Regression Analysis, Risk Factors, Sex Characteristics, Smoking, Tunica Intima, Tunica Media, Ultrasonography}, issn = {0039-2499}, author = {O{\textquoteright}Leary, D H and Polak, J F and Kronmal, R A and Savage, P J and Borhani, N O and Kittner, S J and Tracy, R and Gardin, J M and Price, T R and Furberg, C D} } @article {1476, title = {Clinical factors associated with calcific aortic valve disease. Cardiovascular Health Study.}, journal = {J Am Coll Cardiol}, volume = {29}, year = {1997}, month = {1997 Mar 01}, pages = {630-4}, abstract = {

OBJECTIVES: The aim of this study was to determine the prevalence of aortic sclerosis and stenosis in the elderly and to identify clinical factors associated with degenerative aortic valve disease.

BACKGROUND: Several lines of evidence suggest that degenerative aortic valve disease is not an inevitable consequence of aging and may be associated with specific clinical factors.

METHODS: In 5,201 subjects > or = 65 years of age enrolled in the Cardiovascular Health Study, the relation between aortic sclerosis or stenosis identified on echocardiography and clinical risk factors for atherosclerosis was evaluated by using stepwise logistic regression analysis.

RESULTS: Aortic valve sclerosis was present in 26\% and aortic valve stenosis in 2\% of the entire study cohort; in subjects > or = 75 years of age, sclerosis was present in 37\% and stenosis in 2.6\%. Independent clinical factors associated with degenerative aortic valve disease included age (twofold increased risk for each 10-year increase in age), male gender (twofold excess risk), present smoking (35\% increase in risk) and a history of hypertension (20\% increase in risk). Other significant factors included height and high lipoprotein(a) and low density lipoprotein cholesterol levels.

CONCLUSIONS: Clinical factors associated with aortic sclerosis and stenosis can be identified and are similar to risk factors for atherosclerosis.

}, keywords = {Aged, Aged, 80 and over, Aortic Valve, Aortic Valve Stenosis, Calcinosis, Female, Heart Valve Diseases, Humans, Male, Prospective Studies, Risk Factors, Sclerosis}, issn = {0735-1097}, author = {Stewart, B F and Siscovick, D and Lind, B K and Gardin, J M and Gottdiener, J S and Smith, V E and Kitzman, D W and Otto, C M} } @article {1470, title = {Clinically serious abnormalities found incidentally at MR imaging of the brain: data from the Cardiovascular Health Study.}, journal = {Radiology}, volume = {202}, year = {1997}, month = {1997 Jan}, pages = {41-6}, abstract = {

PURPOSE: To determine the prevalence of clinically serious findings unrelated to stroke on cranial magnetic resonance (MR) images in a population of community-dwelling elderly people.

MATERIALS AND METHODS: Neuroradiologists reviewed MR images of 3,672 people aged 65 years and older who were enrolled in a longitudinal, population-based study of cardiovascular and cerebrovascular disease. The neuroradiologists alerted MR imaging field centers about potentially serious abnormalities. Clinical information was obtained from clinical examinations performed before MR imaging, hospital discharge summaries, and the field centers at which MR imaging was performed.

RESULTS: On 3,672 image sets, 64 (1.74\%) clinically serious abnormalities were found. Among the presumptive diagnoses were 19 meningiomas (0.52\%), six pituitary adenomas (0.16\%), five cavernous malformations (0.14\%), eight vascular stenoses (0.22\%), four aneurysms (0.11\%), two intraventricular masses (0.05\%), two subdural fluid collections (0.05\%), and two other tumors (0.05\%). Only nine participants with these abnormalities required surgery. All but one of the meningiomas were in women, and the prevalence of the tumor decreased with increasing age.

CONCLUSION: Physicians should be alert to the possible presence of clinically serious conditions in otherwise asymptomatic elderly individuals.

}, keywords = {Aged, Aged, 80 and over, Brain, Brain Diseases, Cardiovascular Diseases, Cohort Studies, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male}, issn = {0033-8419}, doi = {10.1148/radiology.202.1.8988190}, author = {Yue, N C and Longstreth, W T and Elster, A D and Jungreis, C A and O{\textquoteright}Leary, D H and Poirier, V C} } @article {1486, title = {Does the association of risk factors and atherosclerosis change with age? An analysis of the combined ARIC and CHS cohorts. The Atherosclerosis Risk in Communities (ARIC) and Cardiovascular Health Study (CHS) investigators.}, journal = {Stroke}, volume = {28}, year = {1997}, month = {1997 Sep}, pages = {1693-701}, abstract = {

INTRODUCTION: A decrease in the estimated relative risk of cerebrovascular and cardiovascular diseases associated with known disease risk factors has been observed among elderly cohorts, perhaps suggesting that continued risk factor management in the elderly may not be as efficacious as with younger age groups. In this paper, the differential magnitude of the association of risk factors with atherosclerosis across the age spectrum from 45 years to older than 75 years is presented.

METHODS: Subclinical atherosclerosis as measured by carotid ultrasonography and risk factor prevalence were assessed using similar methods among participants aged 45 to 64 years in the Atherosclerosis Risk in Communities (ARIC) study and among participants 65 years and older in the Cardiovascular Health Study (CHS). Pooling these two cohorts provided data on the relationship of risk factors and atherosclerosis on nearly 19,000 participants over a broad age range. Regression analyses were used to assess the consistency of the magnitude of the association of risk factors with atherosclerosis across the age spectrum separately for black and white participants in cross-sectional analyses.

RESULTS: As expected, each of the risk factors was globally (across all ages) associated with increased atherosclerosis. However, the magnitude of the association did not differ across the age spectrum for hypertension, low density lipoprotein cholesterol (LDL-c), fibrinogen, or body mass index (BMI). For whites, there was a significantly greater impact of smoking and HDL-C among older age strata but a smaller impact of diabetes. For black women, the impact of HDL-C decreased among the older age strata.

CONCLUSIONS: These data suggest that most risk factors continue to be associated with increased atherosclerosis at older ages, possibly suggesting a continued value in investigation of strategies to reduce atherosclerosis by controlling risk factors at older ages.

}, keywords = {African Americans, African Continental Ancestry Group, Aged, Aging, Arteriosclerosis, Body Mass Index, Cardiovascular Physiological Phenomena, Cardiovascular System, Carotid Arteries, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, European Continental Ancestry Group, Female, Fibrinogen, Health Status, Humans, Hypertension, Male, Middle Aged, Regression Analysis, Risk Factors, Sex Factors, Smoking, Tunica Intima, Tunica Media, Ultrasonography}, issn = {0039-2499}, author = {Howard, G and Manolio, T A and Burke, G L and Wolfson, S K and O{\textquoteright}Leary, D H} } @article {1482, title = {Exercise intensity and subclinical cardiovascular disease in the elderly. The Cardiovascular Health Study.}, journal = {Am J Epidemiol}, volume = {145}, year = {1997}, month = {1997 Jun 01}, pages = {977-86}, abstract = {

The authors assessed the cross-sectional association between intensity of exercise in later life and coronary heart disease risk factors and subclinical disease among 2,274 men and women, 65 years of age and older, who were participants in the Cardiovascular Health Study (CHS) during 1989-1990. Subjects were free of prior clinical cardiovascular disease or impairment of physical function. Exercise intensity was characterized as low, moderate, or high, based on highest intensity exercise reported over the 2 weeks prior to the CHS baseline examination. After adjustment for age, education, and postmenopausal hormone therapy (among women), there was an inverse dose-response relationship of exercise intensity with selected risk factors. By low, moderate, and high exercise intensity, respectively: fasting insulin-men, 15.6 microU/ml, 14.1 microU/ml, and 12.6 microU/ml, p for trend <0.001; women, 14.8 microU/ml, 13.8 microU/ml, and 12.0 microU/ml, p for trend = 0.01; serum fibrinogen-men, 316.2 mg/dl, 315.4 mg/dl, and 300.0 mg/dl, p for trend = 0.01; women, 327.3 mg/dl, 317.0 mg/dl, and 310.7 mg/dl, p for trend = 0.01; lower extremity arterial disease by percent with ankle-arm index <0.9-men, 18.3, 5.5, and 3.7, p for trend = 0.01; women, 10.0, 5.7, and 2.8, p for trend = 0.02; evidence of myocardial injury by cardiac infarction/injury score (CIIS)-men, 8.0, 6.0, 3.9, p for trend <0.001; women, 4.6, 3.9, and 3.6, p for trend = 0.03. Adjustment for smoking, alcohol consumption, and total kilocalories expended in exercise altered the findings only slightly. The authors conclude that intensity of exercise in later life is associated with favorable coronary disease risk factor levels and a reduced prevalence of several markers of subclinical disease.

}, keywords = {Aged, Cardiovascular Diseases, Cross-Sectional Studies, Energy Metabolism, Exercise, Female, Fibrinogen, Humans, Insulin, Life Style, Longitudinal Studies, Male, Prevalence, Risk Factors}, issn = {0002-9262}, author = {Siscovick, D S and Fried, L and Mittelmark, M and Rutan, G and Bild, D and O{\textquoteright}Leary, D H} } @article {1480, title = {Left ventricular mass in the elderly. The Cardiovascular Health Study.}, journal = {Hypertension}, volume = {29}, year = {1997}, month = {1997 May}, pages = {1095-103}, abstract = {

Left ventricular (LV) mass, as estimated from M-mode echocardiography (echo), has previously been shown to be an independent predictor of incident cardiovascular disease morbidity and mortality. We evaluated the relationship at baseline of echo LV mass to relevant cardiovascular disease risk factors and other potential covariates in the Cardiovascular Health Study, multicenter study sponsored by the National Heart, Lung, and Blood Institute of 5201 men and women aged 65 years or older (mean, 73). Two-dimensionally directed M-mode echo LV mass measurements could be obtained in 1357 men and 2053 women (66\% of this elderly cohort). Stepwise linear regression analyses of the relationship of echo LV mass to demographic and risk factor, physical activity, electrocardiographic, and prevalent disease variables resulted in a model that explained 37\% of the variance for the entire cohort. In order of decreasing importance, factors positively associated with echo LV mass were body weight, male sex, systolic pressure, presence of congestive heart failure, present smoking, major and minor electrocardiographic abnormalities, treatment for hypertension, valvular heart disease, aortic regurgitation by color Doppler, and mitral regurgitation by color Doppler (in men) whereas diastolic pressure, bioresistance (a measure of adiposity), and high-density lipoprotein cholesterol were inversely related to echo LV mass. Although height and weight were both related to LV mass, height added nothing once weight was entered in multiple linear regression analyses. Furthermore, in the multiple regression models, diastolic pressure was inversely and systolic BP positively related to LV mass, with similar magnitudes for their coefficients. In consonance with these findings, pulse pressure was positively related to LV mass in bivariate analyses. Multiple linear regression analyses explained less of the variance for ventricular septal thickness (R2 = .13) and LV posterior wall thickness (R2 = .14) than for LV mass (R2 = .37) and LV diastolic dimension (R2 = .27). Intriguing findings in the elderly Cardiovascular Health Study cohort included the presence of pulse pressure as a positive correlate, and high-density lipoprotein cholesterol as an inverse correlate, of LV mass. Longitudinal studies in the Cardiovascular Health Study cohort will help to clarify the importance of demographic, risk factor, and other variables, and changes in these variables, in predicting changes in echo LV mass and its components as well as the prognostic significance of LV mass in the elderly.

}, keywords = {Aged, Aged, 80 and over, Blood Pressure, Body Weight, Cardiovascular Diseases, Cohort Studies, Echocardiography, Female, Humans, Hypertrophy, Left Ventricular, Male, Prospective Studies, Risk Factors, Ventricular Function, Left}, issn = {0194-911X}, author = {Gardin, J M and Arnold, A and Gottdiener, J S and Wong, N D and Fried, L P and Klopfenstein, H S and O{\textquoteright}Leary, D H and Tracy, R and Kronmal, R} } @article {1483, title = {Silent brain infarction on magnetic resonance imaging and neurological abnormalities in community-dwelling older adults. The Cardiovascular Health Study. CHS Collaborative Research Group.}, journal = {Stroke}, volume = {28}, year = {1997}, month = {1997 Jun}, pages = {1158-64}, abstract = {

BACKGROUND AND PURPOSE: Infarctlike lesions are frequently detected in symptomatic and asymptomatic older persons undergoing cerebral MRI, but their significance in older adults has not been examined. We determined the prevalence of MRI infarcts in a population-based sample of men and women aged > or = 65 years and related these findings to demographic, cognitive, and neurological status.

METHODS: MRI scanning was performed in 3660 Cardiovascular Health Study (CHS) participants after brief neurological examinations and tests of cognitive function. MRIs were read centrally for the presence of an infarct > or = 3 mm in diameter or smaller infarctlike lesions.

RESULTS: MRI infarcts were detected in 1131 of 3647 participants with readable infarct information (31\%) and in 961 of the subgroup of 3397 participants (28\%) without known prior stroke ("silent" MRI infarcts). Smaller infarctlike lesions were found in 196 of 2516 participants who had no MRI infarcts > or = 3 mm. MRI infarcts were more common in participants who were older, had prior stroke, impaired cognition, visual field deficits, slowed repetitive finger tapping (all P < .0001), weakness on toe and heel walking, and history of memory loss, coma, or migraine headaches. Multivariate analysis in those without prior stroke showed strong associations of silent MRI infarcts with older age, history of migraines, lower digit symbol scores, and more abnormalities on neurological examination.

CONCLUSIONS: MRI evidence of brain infarction is common in older men and women without a clinical history of stroke. Their strong associations with impaired cognition and neurological deficits suggest that they are neither silent nor innocuous.

}, keywords = {Aged, Aged, 80 and over, Cerebral Infarction, Cognition, Female, Humans, Magnetic Resonance Imaging, Male, Neurologic Examination}, issn = {0039-2499}, author = {Price, T R and Manolio, T A and Kronmal, R A and Kittner, S J and Yue, N C and Robbins, J and Anton-Culver, H and O{\textquoteright}Leary, D H} } @article {1499, title = {The Sleep Heart Health Study: design, rationale, and methods.}, journal = {Sleep}, volume = {20}, year = {1997}, month = {1997 Dec}, pages = {1077-85}, abstract = {

The Sleep Heart Health Study (SHHS) is a prospective cohort study designed to investigate obstructive sleep apnea (OSA) and other sleep-disordered breathing (SDB) as risk factors for the development of cardiovascular disease. The study is designed to enroll 6,600 adult participants aged 40 years and older who will undergo a home polysomnogram to assess the presence of OSA and other SDB. Participants in SHHS have been recruited from cohort studies in progress. Therefore, SHHS adds the assessment of OSA to the protocols of these studies and will use already collected data on the principal risk factors for cardiovascular disease as well as follow-up and outcome information pertaining to cardiovascular disease. Parent cohort studies and recruitment targets for these cohorts are the following: Atherosclerosis Risk in Communities Study (1,750 participants), Cardiovascular Health Study (1,350 participants), Framingham Heart Study (1,000 participants), Strong Heart Study (600 participants), New York Hypertension Cohorts (1,000 participants), and Tucson Epidemiologic Study of Airways Obstructive Diseases and the Health and Environment Study (900 participants). As part of the parent study follow-up procedures, participants will be surveyed at periodic intervals for the incidence and recurrence of cardiovascular disease events. The study provides sufficient statistical power for assessing OSA and other SDB as risk factors for major cardiovascular events, including myocardial infarction and stroke.

}, keywords = {Adult, Aged, Aged, 80 and over, Arteriosclerosis, Cohort Studies, Coronary Disease, Female, Humans, Hypertension, Longitudinal Studies, Male, Middle Aged, Polysomnography, Positive-Pressure Respiration, Prospective Studies, Research Design, Sleep Apnea Syndromes}, issn = {0161-8105}, author = {Quan, S F and Howard, B V and Iber, C and Kiley, J P and Nieto, F J and O{\textquoteright}Connor, G T and Rapoport, D M and Redline, S and Robbins, J and Samet, J M and Wahl, P W} } @article {1469, title = {Sulcal, ventricular, and white matter changes at MR imaging in the aging brain: data from the cardiovascular health study.}, journal = {Radiology}, volume = {202}, year = {1997}, month = {1997 Jan}, pages = {33-9}, abstract = {

PURPOSE: To determine the distribution of changes in sulcal size, ventricular size, and white matter signal intensity depicted on cranial magnetic resonance (MR) images, with stratification according to age, race, and sex.

MATERIALS AND METHODS: Ventricular size, sulcal size, and white matter signal intensity changes were graded on cranial MR images of 3,660 community-living, elderly participants in the Cardiovascular Health Study. A healthier subgroup was also defined. Summary statistics for both groups were generated for age, race, and sex.

RESULTS: Regression models of the entire imaged cohort showed higher grades of all variables with increasing age, and higher ventricular and sulcal grades in men and in nonblack individuals. White matter grade was greater in women and in black individuals. Regression models of the healthier subgroup showed similar associations, except for a lack of association of sulcal and ventricular size with race.

CONCLUSION: Sulcal width, ventricular size, and white matter signal intensity change with age, sex, and race. Knowledge of these changes is important in appropriate interpretation of MR images of the elderly.

}, keywords = {Aged, Aged, 80 and over, Aging, Brain, Cardiovascular Diseases, Cerebral Ventricles, Cohort Studies, Continental Population Groups, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Reproducibility of Results, Sex Factors}, issn = {0033-8419}, doi = {10.1148/radiology.202.1.8988189}, author = {Yue, N C and Arnold, A M and Longstreth, W T and Elster, A D and Jungreis, C A and O{\textquoteright}Leary, D H and Poirier, V C and Bryan, R N} } @article {1517, title = {Asymptomatic internal carotid artery stenosis defined by ultrasound and the risk of subsequent stroke in the elderly. The Cardiovascular Health Study.}, journal = {Stroke}, volume = {29}, year = {1998}, month = {1998 Nov}, pages = {2371-6}, abstract = {

BACKGROUND AND PURPOSE: We sought in this study to relate carotid ultrasound findings in asymptomatic older adults to the 5-year risk of various cerebrovascular outcomes used in the Asymptomatic Carotid Atherosclerosis Study (ACAS).

METHODS: The Cardiovascular Health Study (CHS) is a longitudinal study of people 65 years and older. Analyses of internal carotid artery stenosis defined by multiple different cutoffs of peak systolic velocity, rather than one particular cutoff, were performed in the 5441 participants who underwent carotid ultrasound and lacked a history of transient ischemic attack or stroke. The 5-year risks of 7 cerebrovascular disease outcomes used in ACAS were estimated for each cutoff.

RESULTS: Associations with the 5-year risk of outcomes were substantially elevated only at cutoffs with high peak systolic velocities. In this population, the number of people with such high velocities was small. For example, with a cutoff of approximately 2.5 m/s, suggesting a stenosis of >70\%, the 5-year risk of an ipsilateral fatal or nonfatal stroke was 5\%, and only 0.5\% of the group had velocities at least this high.

CONCLUSIONS: In a group of older adults likely to participate in a screening program, as evidenced by willingness to participate in CHS, high peak systolic velocities consistent with high-grade carotid stenosis were uncommon and risk of subsequent cerebrovascular disease outcomes was relatively low. These findings do not suggest that similar populations of older adults would benefit from a program using ultrasound to screen for asymptomatic carotid stenosis.

}, keywords = {Aged, Blood Flow Velocity, Carotid Artery, Internal, Carotid Stenosis, Cerebrovascular Disorders, Cohort Studies, Female, Humans, Male, Prevalence, Risk Factors, Systole, Ultrasonography, Doppler}, issn = {0039-2499}, author = {Longstreth, W T and Shemanski, L and Lefkowitz, D and O{\textquoteright}Leary, D H and Polak, J F and Wolfson, S K} } @article {1515, title = {Diabetes in older adults: comparison of 1997 American Diabetes Association classification of diabetes mellitus with 1985 WHO classification.}, journal = {Lancet}, volume = {352}, year = {1998}, month = {1998 Sep 26}, pages = {1012-5}, abstract = {

BACKGROUND: We aimed to compare the prevalence of abnormal glucose tolerance identified by the 1985 WHO and the 1997 American Diabetes Association (ADA) diagnostic categories based on information collected in the Cardiovascular Health Study, an epidemiological study of elderly people.

METHODS: We measured glucose concentrations during fasting and 2 h after a 75 g oral glucose-tolerance test in participants aged 65-100 years in the Cardiovascular Health Study. From a 1989 cohort, we analysed the glucose measurements of 4515 individuals without a previous diagnosis of diabetes and of 262 additional measurements from an African-American cohort recruited in 1992-93.

FINDINGS: In the 1989 cohort, the prevalence of untreated diabetes with ADA diagnostic fasting criteria was 7.7\% versus a prevalence of 14.8\% by the WHO criteria. In the African-American cohort, the prevalence of untreated diabetes was 2.7\% with ADA criteria and 11.8\% with WHO criteria. 3509 (77.7\%) of the 4515 participants in the 1989 cohort had normal glucose concentrations according to ADA fasting criteria, compared with 2401 (53.2\%) according to WHO criteria. In the African-American cohort, the corresponding numbers were 239 (91.2\%) versus 153 (58.4\%). All differences in prevalence of abnormal glucose tolerance between ADA and WHO classifications were significant (p<0.0001).

INTERPRETATION: Among elderly individuals, there was a significant difference in the prevalence of diabetes identified by the WHO diagnostic criteria based on oral glucose-tolerance test and the ADA fasting criteria. Consequently, many individuals currently classified as non-diabetic according to ADA criteria would previously have had a diagnosis of diabetes according to WHO criteria. Longitudinal studies are needed to assess the value of the criteria in the identification of individuals at increased risk of diabetes-associated chronic complications.

}, keywords = {African Americans, Aged, Aged, 80 and over, Cohort Studies, Diabetes Mellitus, Female, Glucose Tolerance Test, Humans, Male, Prevalence, Societies, Medical, World Health Organization}, issn = {0140-6736}, doi = {10.1016/S0140-6736(98)04055-0}, author = {Wahl, P W and Savage, P J and Psaty, B M and Orchard, T J and Robbins, J A and Tracy, R P} } @article {1511, title = {Hypoechoic plaque at US of the carotid artery: an independent risk factor for incident stroke in adults aged 65 years or older. Cardiovascular Health Study.}, journal = {Radiology}, volume = {208}, year = {1998}, month = {1998 Sep}, pages = {649-54}, abstract = {

PURPOSE: To investigate the association between incident (first) stroke and the echogenicity of internal carotid arterial plaque at ultrasonography (US).

MATERIALS AND METHODS: A cohort of 4, 886 individuals who, at baseline, were 65 years of age or older and without symptoms of cerebrovascular disease was followed up for an average of 3.3 years. Baseline clinical findings were from color Doppler and duplex US studies of the carotid arteries and a record of traditional risk factors: age, sex, presence of diabetes mellitus, pack-years of cigarette smoking, presence of hypertension, elevated systolic and diastolic blood pressure, elevated low-density lipoprotein cholesterol level.

RESULTS: Incident strokes, excluding hemorrhagic strokes and strokes of cardiac origin, were seen in 104 individuals (2.1\%) at risk. Age- and sex-adjusted odds ratios for incident stroke were significant for hypoechoic plaque (odds ratio, 2.53; 95\% CI, 1,42,4.53). After controlling for risk factors in a Cox proportional hazards model, the relative risk (RR) of incident stroke was 1.72 (p = .015) for hypoechoic plaque and 2.32 (P = .004) for internal carotid arterial narrowing of at least 50\%. In addition, hypoechoic plaque (RR, 2.78; CI, 1.36,5.69) and 50\%-100\% stenosis (RR, 3.08; CI, 1.28, 7.41) were associated with ipsilateral, nonfatal stroke.

CONCLUSION: In asymptomatic adults aged 65 years or older, that risk of incident stroke was associated with two US features: hypoechoic internal carotid arterial plaque and an estimated internal carotid arterial stenosis of 50\%-100\%.

}, keywords = {Aged, Aged, 80 and over, Carotid Artery, Internal, Carotid Stenosis, Cerebrovascular Disorders, Cohort Studies, Female, Humans, Intracranial Arteriosclerosis, Male, Proportional Hazards Models, Risk, Ultrasonography, Doppler, Duplex, Ultrasonography, Doppler, Transcranial}, issn = {0033-8419}, doi = {10.1148/radiology.208.3.9722841}, author = {Polak, J F and Shemanski, L and O{\textquoteright}Leary, D H and Lefkowitz, D and Price, T R and Savage, P J and Brant, W E and Reid, C} } @article {596, title = {Association of aortic-valve sclerosis with cardiovascular mortality and morbidity in the elderly.}, journal = {N Engl J Med}, volume = {341}, year = {1999}, month = {1999 Jul 15}, pages = {142-7}, abstract = {

BACKGROUND: Although aortic-valve stenosis is clearly associated with adverse cardiovascular outcomes, it is unclear whether valve sclerosis increases the risk of cardiovascular events.

METHODS: We assessed echocardiograms obtained at base line from 5621 men and women 65 years of age or older who were enrolled in a population-based prospective study. On echocardiography, the aortic valve was normal in 70 percent (3919 subjects), sclerotic without outflow obstruction in 29 percent (1610), and stenotic in 2 percent (92). The subjects were followed for a mean of 5.0 years to assess the risk of death from any cause and of death from cardiovascular causes. Cardiovascular morbidity was defined as new episodes of myocardial infarction, angina pectoris, congestive heart failure, or stroke.

RESULTS: There was a stepwise increase in deaths from any cause (P for trend, <0.001) and deaths from cardiovascular causes (P for trend, <0.001) with increasing aortic-valve abnormality; the respective rates were 14.9 and 6.1 percent in the group with normal aortic valves, 21.9 and 10.1 percent in the group with aortic sclerosis, and 41.3 and 19.6 percent in the group with aortic stenosis. The relative risk of death from cardiovascular causes among subjects without coronary heart disease at base line was 1.66 (95 percent confidence interval, 1.23 to 2.23) for those with sclerotic valves as compared with those with normal valves, after adjustment for age and sex. The relative risk remained elevated after further adjustment for clinical factors associated with sclerosis (relative risk, 1.52; 95 percent confidence interval, 1.12 to 2.05). The relative risk of myocardial infarction was 1.40 (95 percent confidence interval, 1.07 to 1.83) among subjects with aortic sclerosis, as compared with those with normal aortic valves.

CONCLUSIONS: Aortic sclerosis is common in the elderly and is associated with an increase of approximately 50 percent in the risk of death from cardiovascular causes and the risk of myocardial infarction, even in the absence of hemodynamically significant obstruction of left ventricular outflow.

}, keywords = {Aged, Angina Pectoris, Aortic Valve, Calcinosis, Cardiovascular Diseases, Cerebrovascular Disorders, Female, Heart Failure, Heart Valve Diseases, Humans, Male, Mortality, Myocardial Infarction, Prospective Studies, Risk, Risk Factors, Ultrasonography, United States, Ventricular Outflow Obstruction}, issn = {0028-4793}, doi = {10.1056/NEJM199907153410302}, author = {Otto, C M and Lind, B K and Kitzman, D W and Gersh, B J and Siscovick, D S} } @article {1520, title = {Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. Cardiovascular Health Study Collaborative Research Group.}, journal = {N Engl J Med}, volume = {340}, year = {1999}, month = {1999 Jan 07}, pages = {14-22}, abstract = {

BACKGROUND: The combined thickness of the intima and media of the carotid artery is associated with the prevalence of cardiovascular disease. We studied the associations between the thickness of the carotid-artery intima and media and the incidence of new myocardial infarction or stroke in persons without clinical cardiovascular disease.

METHODS: Noninvasive measurements of the intima and media of the common and internal carotid artery were made with high-resolution ultrasonography in 5858 subjects 65 years of age or older. Cardiovascular events (new myocardial infarction or stroke) served as outcome variables in subjects without clinical cardiovascular disease (4476 subjects) over a median follow-up period of 6.2 years.

RESULTS: The incidence of cardiovascular events correlated with measurements of carotid-artery intima-media thickness. The relative risk of myocardial infarction or stroke increased with intima-media thickness (P<0.001). The relative risk of myocardial infarction or stroke (adjusted for age and sex) for the quintile with the highest thickness as compared with the lowest quintile was 3.87 (95 percent confidence interval, 2.72 to 5.51). The association between cardiovascular events and intima-media thickness remained significant after adjustment for traditional risk factors, showing increasing risks for each quintile of combined intima-media thickness, from the second quintile (relative risk, 1.54; 95 percent confidence interval, 1.04 to 2.28), to the third (relative risk, 1.84; 95 percent confidence interval, 1.26 to 2.67), fourth (relative risk, 2.01; 95 percent confidence interval, 1.38 to 2.91), and fifth (relative risk, 3.15; 95 percent confidence interval, 2.19 to 4.52). The results of separate analyses of myocardial infarction and stroke paralleled those for the combined end point.

CONCLUSIONS: Increases in the thickness of the intima and media of the carotid artery, as measured noninvasively by ultrasonography, are directly associated with an increased risk of myocardial infarction and stroke in older adults without a history of cardiovascular disease.

}, keywords = {Aged, Carotid Arteries, Cerebrovascular Disorders, Disease-Free Survival, Female, Humans, Incidence, Male, Myocardial Infarction, Proportional Hazards Models, Prospective Studies, Risk Factors, Tunica Intima, Tunica Media, Ultrasonography}, issn = {0028-4793}, doi = {10.1056/NEJM199901073400103}, author = {O{\textquoteright}Leary, D H and Polak, J F and Kronmal, R A and Manolio, T A and Burke, G L and Wolfson, S K} } @article {1524, title = {Prevalence and associations of MRI-demonstrated brain infarcts in elderly subjects with a history of transient ischemic attack. The Cardiovascular Health Study.}, journal = {Stroke}, volume = {30}, year = {1999}, month = {1999 Feb}, pages = {383-8}, abstract = {

BACKGROUND AND PURPOSE: MRI is more sensitive than CT, but the significance of brain abnormalities seen on MR images obtained in older subjects with transient ischemic attack (TIA) is not clear. We studied the prevalence and risk factors associated with MRI-demonstrated infarcts in elderly subjects with a history of TIA.

METHODS: Participants of the Cardiovascular Health Study, aged 65 years or more and without prior stroke, were studied with brain MRI (n=3456). The prevalence of brain infarcts (>/=3 mm) on MRI was determined in subjects with and without TIA. The cardiovascular risk factors and clinical and subclinical cardiovascular disease associated with MRI infarcts were studied in subjects with TIA.

RESULTS: Subjects with TIA (n=100) had a higher prevalence of MRI infarcts than subjects without TIA (46\% versus 28\%; P<0.001). The unadjusted odds ratio for having MRI infarcts in subjects with TIA was 2.20 (95\% CI, 1.47 to 3.30) and remained significantly elevated after adjustments for risk factors and cerebrovascular disease (odds ratio, 1.86; 95\% CI, 1.23 to 2.83). In subjects with TIA, diastolic blood pressure (P=0.01) and internal carotid artery intima-media thickness (P=0.01) were the only factors predictive of the presence of MRI infarcts by stepwise logistic regression analysis.

CONCLUSIONS: MRI infarcts are imaging manifestations of clinically important cerebrovascular disease in subjects with a history of TIA, given their increased prevalence and positive association with increased diastolic blood pressure and internal carotid artery intima-media thickness.

}, keywords = {Aged, Brain, Cardiovascular Diseases, Cerebral Infarction, Cross-Sectional Studies, Female, Humans, Ischemic Attack, Transient, Magnetic Resonance Imaging, Male, Odds Ratio, Population Surveillance, Predictive Value of Tests, Prevalence, Prospective Studies, Risk Factors, United States}, issn = {0039-2499}, author = {Bhadelia, R A and Anderson, M and Polak, J F and Manolio, T A and Beauchamp, N and Knepper, L and O{\textquoteright}Leary, D H} } @article {1525, title = {Relationships of cerebral MRI findings to ultrasonographic carotid atherosclerosis in older adults : the Cardiovascular Health Study. CHS Collaborative Research Group.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {19}, year = {1999}, month = {1999 Feb}, pages = {356-65}, abstract = {

Cerebral magnetic resonance imaging (MRI) has demonstrated a high prevalence of infarct-like lesions, white matter hyperintensities, and evidence of cerebral atrophy in older adults. While these findings are generally believed to be related to ischemia and atherosclerosis, their relationship to atherosclerosis in the carotid arteries remains to be explored. Study subjects were part of the multicenter Cardiovascular Health Study, a cross-sectional study of 3502 women and men >/=65 years of age undergoing cranial MRI and carotid ultrasonography. MRI infarcts were detected in 1068 participants (29.3\%) and measurable carotid plaque in 2745 (75.3\%). MRI infarcts, ventricular and sulcal widening, and white matter score were strongly associated with carotid intimal-medial thickness (IMT) and stenosis degree after adjustment for age and sex (all P<0. 01). Associations with plaque characteristics were less strong and less consistent; MRI infarcts were weakly associated only with surface irregularity, and ventricular size was weakly associated only with lesion density (both P<0.04). In contrast, sulcal widening was strongly related to plaque characteristics, with scores being higher in those with heterogeneous and irregular plaque (both P<0. 009). Adjustment for other risk factors, and for carotid IMT/stenosis, removed associations of MRI findings with plaque characteristics except for weak relationships remaining between MRI infarcts and surface irregularity and between sulcal score and heterogeneous plaque (both P<0.03). MRI abnormalities show strong and consistent relationships with increasing carotid IMT and stenosis degree but less strong associations with plaque characteristics, especially after adjusting for IMT and stenosis.

}, keywords = {Aged, Arteriosclerosis, Brain, Cardiovascular System, Carotid Artery Diseases, Cerebral Infarction, Cohort Studies, Cross-Sectional Studies, Echoencephalography, Female, Health Status, Humans, Magnetic Resonance Imaging, Male, Prevalence}, issn = {1079-5642}, author = {Manolio, T A and Burke, G L and O{\textquoteright}Leary, D H and Evans, G and Beauchamp, N and Knepper, L and Ward, B} } @article {608, title = {Clinical correlates of ventricular and sulcal size on cranial magnetic resonance imaging of 3,301 elderly people. The Cardiovascular Health Study. Collaborative Research Group.}, journal = {Neuroepidemiology}, volume = {19}, year = {2000}, month = {2000 Jan-Feb}, pages = {30-42}, abstract = {

To identify potential risk factors for and clinical manifestations of ventricular and sulcal enlargement on cranial magnetic resonance imaging (MRI), 3,301 community-dwelling people 65 years or older without a history of stroke or transient ischemic attack underwent extensive standardized evaluations and MRI. In the multivariate model, increased age and white matter grade on MRI were the dominant risk factors for ventricular and sulcal grade. For ventricular grade, other than race, for which non-Blacks had higher grades, models for men and women shared no other factors. For sulcal grades, models for men and women shared variables reflecting cigarette smoking and diabetes. Clinical features were correlated more strongly with ventricular than sulcal grade and more strongly for women than men. Significant age-adjusted correlations between ventricular grade and the Digit-Symbol Substitution Test were found for men and women. Prospective studies will be needed to extend findings of this cross-sectional analysis.

}, keywords = {Age Distribution, Age Factors, Aged, Aging, Cerebral Ventricles, Continental Population Groups, Cross-Sectional Studies, Diabetes Complications, Female, Humans, Hypertrophy, Linear Models, Magnetic Resonance Imaging, Male, Multivariate Analysis, Risk Factors, Severity of Illness Index, Sex Distribution, Sex Factors, Smoking, Stroke}, issn = {0251-5350}, doi = {10.1159/000026235}, author = {Longstreth, W T and Arnold, A M and Manolio, T A and Burke, G L and Bryan, N and Jungreis, C A and O{\textquoteright}Leary, D and Enright, P L and Fried, L} } @article {611, title = {Diabetes mellitus: subclinical cardiovascular disease and risk of incident cardiovascular disease and all-cause mortality.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {20}, year = {2000}, month = {2000 Mar}, pages = {823-9}, abstract = {

Previously diagnosed diabetes mellitus, newly diagnosed diabetes mellitus, and impaired glucose tolerance are important determinants of the risk of clinical cardiovascular disease (CVD). We have evaluated the relation of patients with subclinical CVD, diabetes, and impaired glucose tolerance and "normal" subjects and the risk of clinical CVD in the Cardiovascular Health Study. Diabetes (1343), impaired glucose tolerance (1433), and normal (2421) were defined by World Health Organization criteria at baseline in 1989 to 1990. The average follow-up was 6.4 years (mean age 73 years). Diabetics had a higher prevalence of clinical and subclinical CVD at baseline. Compared with diabetes in the absence of subclinical disease, the presence of subclinical CVD and diabetes was associated with significant increased adjusted relative risk of death (1.5, CI 0.93 to 2.41), relative risk of incident coronary heart disease (1.99, CI 1.25 to 3.19), and incident myocardial infarction (1.93, CI 0.96 to 3.91). The risk of clinical events was greater for participants with a history of diabetes compared with newly diagnosed diabetics at baseline. Compared with nondiabetic nonhypertensive subjects without subclinical disease, patients with a combination of diabetes, hypertension, and subclinical disease had a 12-fold increased risk of stroke. Fasting blood glucose levels were a weak predictor of incident coronary heart disease as were most other risk factors. Subclinical CVD was the primary determinant of clinical CVD among diabetics in the Cardiovascular Health Study.

}, keywords = {Aged, Arteriosclerosis, Coronary Disease, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Diabetic Angiopathies, Female, Humans, Incidence, Male, Multivariate Analysis, Myocardial Infarction, Prevalence, Proportional Hazards Models, Risk Factors, Sex Distribution, Stroke}, issn = {1079-5642}, doi = {10.1161/01.atv.20.3.823}, author = {Kuller, L H and Velentgas, P and Barzilay, J and Beauchamp, N J and O{\textquoteright}Leary, D H and Savage, P J} } @article {1528, title = {Neurologic correlates of infarction-like lesion location on magnetic resonance imaging in the cardiovascular health study}, journal = {J. Stroke Cerebrovascular Disease}, volume = {9}, year = {2000}, month = {2000-01-01}, pages = {228}, chapter = {218}, abstract = {Objective: To evaluate and quantify the associations of infarction-like lesion location in the brain with cognitive and physical impairment in an elderly population. Methods: Data from magnetic resonance imaging (MRI) scans for 3647 Cardiovascular Health Study participants were analyzed. Associations between infarction-like lesion location and various neurologic and performance-based measurements were assessed by using regression models. Continuous responses were expressed in percentiles. Models excluding participants with a history of stroke were also examined. Results: Brainstem infarction-like lesions were associated with a severely reduced Mini-Mental State Examination score (difference [d] = 15 percentiles, P < .001), reduced digit-symbol score (d = 12 percentiles, P < .01), increased time to walk 15 feet (d = 15 percentiles, P < .001), and increased odds of a history of dizziness (odds ratio [OR] = 2.5, P <.01). Basal ganglia infarctions were associated with an increased prevalence of visual field deficits (OR = 1.8, P <.001), and cerebellar white matter infarction-like lesions with an increased prevalence of a history of coma (OR = 4.0, P < .01). For those with infarction-like lesions in both the cerebral cortex and brainstem, the degree of sleepiness was substantially elevated (d = 34 percentiles, P < .01). No associations with a history of migraines were detected. After exclusion of those with stroke history, all of these associations persisted. Conclusion: The estimated magnitude and statistical significance of these associations relative to those with no infarction-like lesions provides new information. Further investigation for some of the associations, such as the role of the brainstem in cognitive function and the association of basal ganglia infarction-like lesions with visual field deficits, would be worthwhile.}, keywords = {basal, Brain, Cerebral Cortex, ganglia, Health, history, Infarction, Magnetic Resonance Imaging, methods, Odds Ratio, Population, Prevalence, Stroke}, author = {McClelland, RL and Kronmal, RA and Bryan, RN and Manolio, TA and Herskovits, EH and Kuller, LH and O{\textquoteright}Leary, DH} } @article {647, title = {Association between blood pressure level and the risk of myocardial infarction, stroke, and total mortality: the cardiovascular health study.}, journal = {Arch Intern Med}, volume = {161}, year = {2001}, month = {2001 May 14}, pages = {1183-92}, abstract = {

BACKGROUND: Recent reports have drawn attention to the importance of pulse pressure as a predictor of cardiovascular events. Pulse pressure is used neither by clinicians nor by guidelines to define treatable levels of blood pressure.

METHODS: In the Cardiovascular Health Study, 5888 adults 65 years and older were recruited from 4 US centers. At baseline in 1989-1990, participants underwent an extensive examination, and all subsequent cardiovascular events were ascertained and classified.

RESULTS: At baseline, 1961 men and 2941 women were at risk for an incident myocardial infarction or stroke. During follow-up that averaged 6.7 years, 572 subjects had a coronary event, 385 had a stroke, and 896 died. After adjustment for potential confounders, systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure were directly associated with the risk of incident myocardial infarction and stroke. Only SBP was associated with total mortality. Importantly, SBP was a better predictor of cardiovascular events than DBP or pulse pressure. In the adjusted model for myocardial infarction, a 1-SD change in SBP, DBP, and pulse pressure was associated with hazard ratios (95\% confidence intervals) of 1.24 (1.15-1.35), 1.13 (1.04-1.22), and 1.21 (1.12-1.31), respectively; and adding pulse pressure or DBP to the model did not improve the fit. For stroke, the hazard ratios (95\% confidence intervals) were 1.34 (1.21-1.47) with SBP, 1.29 (1.17-1.42) with DBP, and 1.21 (1.10-1.34) with pulse pressure. The association between blood pressure level and cardiovascular disease risk was generally linear; specifically, there was no evidence of a J-shaped relationship. In those with treated hypertension, the hazard ratios for the association of SBP with the risks for myocardial infarction and stroke were less pronounced than in those without treated hypertension.

CONCLUSION: In this population-based study of older adults, although all measures of blood pressure were strongly and directly related to the risk of coronary and cerebrovascular events, SBP was the best single predictor of cardiovascular events.

}, keywords = {Aged, Blood Pressure, Female, Humans, Male, Myocardial Infarction, Prognosis, Proportional Hazards Models, Prospective Studies, Risk Factors, Stroke, Survival Rate, United States}, issn = {0003-9926}, doi = {10.1001/archinte.161.9.1183}, author = {Psaty, B M and Furberg, C D and Kuller, L H and Cushman, M and Savage, P J and Levine, D and O{\textquoteright}Leary, D H and Bryan, R N and Anderson, M and Lumley, T} } @article {633, title = {The association of sleep-disordered breathing and sleep symptoms with quality of life in the Sleep Heart Health Study.}, journal = {Sleep}, volume = {24}, year = {2001}, month = {2001 Feb 01}, pages = {96-105}, abstract = {

This study assessed the extent to which sleep-disordered breathing (SDB), difficulty initiating and maintaining sleep (DIMS), and excessive daytime sleepiness (EDS) were associated with impairment of quality of life (QoL) using the SF-36. Participants (n=5,816; mean age=63 years; 52.5\% women) were enrolled in the nation-wide population-based Sleep Heart Health Study (SHHS) implemented to investigate sleep-disordered breathing as a risk factor in the development of cardiovascular disease. Each transformed SF-36 scale was analyzed independently using multiple logistic regression analysis with sleep and other potential confounding variables (e.g., age, ethnicity) included as independent variables. Men (11.6\%) were significantly more likely to have SDB compared to women (5.6\%), while women (42.4\%) were significantly more likely to report DIMS than men (32.5\%). Vitality was the sole SF-36 scale to have a linear association with the clinical categories of SDB (mild, moderate, severe SDB). However, individuals with severe SDB indicated significantly poorer QoL on several SF-36 scales. Both DIMS and EDS were strongly associated with reduced QoL even after adjusting for confounding variables for both sexes. Findings suggest 1) mild to moderate SDB is associated with reduced vitality, while severe SDB is more broadly associated with poorer QoL, 2) subjective sleep symptoms are comprehensively associated with poorer QoL, and 3) SF-36 mean score profiles for SDB and sleep symptoms are equivalent to other chronic diseases in the U.S. general population.

}, keywords = {Adult, Cardiovascular Diseases, Chronic Disease, Circadian Rhythm, Disorders of Excessive Somnolence, Female, Health Status, Humans, Male, Middle Aged, Polysomnography, Population Surveillance, Prevalence, Quality of Life, Risk Factors, Severity of Illness Index, Sleep Apnea Syndromes, United States}, issn = {0161-8105}, doi = {10.1093/sleep/24.1.96}, author = {Baldwin, C M and Griffith, K A and Nieto, F J and O{\textquoteright}Connor, G T and Walsleben, J A and Redline, S} } @article {630, title = {Cardiovascular disease and mortality in older adults with small abdominal aortic aneurysms detected by ultrasonography: the cardiovascular health study.}, journal = {Ann Intern Med}, volume = {134}, year = {2001}, month = {2001 Feb 06}, pages = {182-90}, abstract = {

BACKGROUND: Persons with abdominal aortic aneurysm are more likely to have a higher prevalence of risk factors for and clinical manifestations of cardiovascular disease. It is unknown whether these factors explain the high mortality rate associated with abdominal aortic aneurysm.

OBJECTIVE: To describe the risk for mortality, cardiovascular mortality, and cardiovascular morbidity in persons screened for abdominal aortic aneurysm.

DESIGN: Longitudinal cohort study.

SETTING: Four communities in the United States.

PARTICIPANTS: 4734 men and women older than 65 years of age recruited from Medicare eligibility lists.

MEASUREMENTS: Abdominal ultrasonography was used to measure the aortic diameter and the ratio of infrarenal to suprarenal measurement of aortic diameter in 1992-1993. Abdominal aortic aneurysm was defined as aortic diameter of 3 cm or greater or infrarenal-to-suprarenal ratio of 1.2 or greater. Mortality, cardiovascular disease mortality, incident cardiovascular disease, and repair or rupture were assessed after 4.5 years.

RESULTS: The prevalence of aneurysm was 8.8\%, and 87.7\% of aneurysms were 3.5 cm or less in diameter. Rates of total mortality (65.1 vs. 32.8 per 1000 person-years), cardiovascular mortality (34.3 vs. 13.8 per 1000 person-years), and incident cardiovascular disease (47.3 vs. 31.0 per 1000 person-years) were higher in participants with aneurysm than in those without aneurysm; after adjustment for age, risk factors, and presence of other cardiovascular disease, the respective relative risks were 1.32, 1.36, and 1.57. Rates of repair and rupture were low.

CONCLUSIONS: Rates of total mortality, cardiovascular disease mortality, and incident cardiovascular disease were higher in participants with abdominal aortic aneurysm than in those without aneurysm, independent of age, sex, other clinical cardiovascular disease, and extent of atherosclerosis detected by noninvasive testing. Persons with smaller aneurysms detected by ultrasonography should be advised to modify risk factors for cardiovascular disease while under surveillance for increase in the size of the aneurysm.

}, keywords = {Aged, Aged, 80 and over, Aortic Aneurysm, Abdominal, Aortic Rupture, Cardiovascular Diseases, Disease Progression, Female, Humans, Incidence, Longitudinal Studies, Male, Mortality, Proportional Hazards Models, Risk Factors, Ultrasonography, United States}, issn = {0003-4819}, doi = {10.7326/0003-4819-134-3-200102060-00008}, author = {Newman, A B and Arnold, A M and Burke, G L and O{\textquoteright}Leary, D H and Manolio, T A} } @article {662, title = {Echocardiographic features of the right heart in sleep-disordered breathing: the Framingham Heart Study.}, journal = {Am J Respir Crit Care Med}, volume = {164}, year = {2001}, month = {2001 Sep 15}, pages = {933-8}, abstract = {

The effect of sleep-disordered breathing (SDB) on right heart structure and function is controversial. Studies of patients referred for evaluation of possible sleep apnea have yielded conflicting results, and the impact of SDB on the right heart has not been investigated in the general population. We examined the echocardiographic features of subjects with SDB at the Framingham Heart Study site of the Sleep Heart Health Study. Of 1,001 polysomnography subjects, 90 with SDB defined as a respiratory disturbance index (RDI) score > 90th percentile (mean RDI = 42) were compared with 90 low-RDI subjects (mean RDI = 5) matched for age, sex, and body mass index. Right heart measurements, made without knowledge of clinical status, were compared between groups. The majority of the subjects were male (74\%). After multivariable adjustment, right ventricle (RV) wall thickness was significantly greater (p = 0.005) in subjects with SDB (0.78 +/- 0.02 cm) than in the low-RDI subjects (0.68 +/- 0.02 cm). Right atrial dimensions, RV dimensions, and RV systolic function were not found to be significantly different between subjects with SDB and the low-RDI subjects. We conclude that in this community-based study of SDB and right heart echocardiographic features, RV wall thickness was increased in subjects with SDB. Whether the RV hypertrophy observed in persons with SDB is associated with increased morbidity and mortality remains unknown.

}, keywords = {Adult, Age Factors, Aged, Cohort Studies, Cross-Sectional Studies, Data Interpretation, Statistical, Echocardiography, Female, Forced Expiratory Volume, Humans, Hypertrophy, Right Ventricular, Linear Models, Male, Middle Aged, Obesity, Observer Variation, Polysomnography, Prospective Studies, Sex Factors, Sleep Apnea Syndromes, Ventricular Function, Right, Vital Capacity}, issn = {1073-449X}, doi = {10.1164/ajrccm.164.6.2001092}, author = {Guidry, U C and Mendes, L A and Evans, J C and Levy, D and O{\textquoteright}Connor, G T and Larson, M G and Gottlieb, D J and Benjamin, E J} } @article {652, title = {Prevalence of clinical and isolated subclinical cardiovascular disease in older adults with glucose disorders: the Cardiovascular Health Study.}, journal = {Diabetes Care}, volume = {24}, year = {2001}, month = {2001 Jul}, pages = {1233-9}, abstract = {

OBJECTIVE: Clinical cardiovascular disease (CVD) is highly prevalent among people with diabetes. However, there is little information regarding the prevalence of subclinical CVD and its relation to clinical CVD in diabetes and in the glucose disorders that precede diabetes.

RESEARCH DESIGN AND METHODS: Participants in the Cardiovascular Health Study, aged > or = 65 years (n = 5,888), underwent vascular and metabolic testing. Individuals with known disease in the coronary, cerebral, or peripheral circulations were considered to have clinical disease. Those without any clinical disease in whom CVD was detected by ultrasonography, electrocardiography, or ankle arm index in any of the three vascular beds were considered to have isolated subclinical disease.

RESULTS: Approximately 30\% of the cohort had clinical disease, and approximately 60\% of the remainder had isolated subclinical disease. In those with normal glucose status, isolated subclinical disease made up most of the total CVD. With increasing glucose severity, the proportion of total CVD that was clinical disease increased; 75\% of men and 66\% of women with normal fasting glucose status had either clinical or subclinical CVD. Among those with known diabetes, the prevalence was approximately 88\% (odds ratio [OR] 2.46 for men and 4.22 for women, P < 0.0001). There were intermediate prevalences and ORs for those with impaired fasting glucose status and newly diagnosed diabetes.

CONCLUSIONS: Isolated subclinical CVD is common among older adults. Glucose disorders are associated with an increased prevalence of total CVD and an increased proportion of clinical disease relative to subclinical disease.

}, keywords = {Aged, Angina Pectoris, Cardiovascular Diseases, Cerebrovascular Disorders, Cohort Studies, Diabetes Mellitus, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Electrocardiography, Female, Glucose Intolerance, Heart Diseases, Humans, Male, Peripheral Vascular Diseases, Prevalence, United States}, issn = {0149-5992}, doi = {10.2337/diacare.24.7.1233}, author = {Barzilay, J I and Spiekerman, C F and Kuller, L H and Burke, G L and Bittner, V and Gottdiener, J S and Brancati, F L and Orchard, T J and O{\textquoteright}Leary, D H and Savage, P J} } @article {636, title = {Sleep-disordered breathing and cardiovascular disease: cross-sectional results of the Sleep Heart Health Study.}, journal = {Am J Respir Crit Care Med}, volume = {163}, year = {2001}, month = {2001 Jan}, pages = {19-25}, abstract = {

Disordered breathing during sleep is associated with acute, unfavorable effects on cardiovascular physiology, but few studies have examined its postulated association with cardiovascular disease (CVD). We examined the cross-sectional association between sleep- disordered breathing and self-reported CVD in 6,424 free-living individuals who underwent overnight, unattended polysomnography at home. Sleep-disordered breathing was quantified by the apnea-hypopnea index (AHI)-the average number of apneas and hypopneas per hour of sleep. Mild to moderate disordered breathing during sleep was highly prevalent in the sample (median AHI: 4.4; interquartile range: 1.3 to 11.0). A total of 1,023 participants (16\%) reported at least one manifestation of CVD (myocardial infarction, angina, coronary revascularization procedure, heart failure, or stroke). The multivariable-adjusted relative odds (95\% CI) of prevalent CVD for the second, third, and fourth quartiles of the AHI (versus the first) were 0.98 (0.77-1.24), 1.28 (1.02-1.61), and 1.42 (1.13-1.78), respectively. Sleep-disordered breathing was associated more strongly with self-reported heart failure and stroke than with self-reported coronary heart disease: the relative odds (95\% CI) of heart failure, stroke, and coronary heart disease (upper versus lower AHI quartile) were 2.38 (1.22-4.62), 1.58 (1.02- 2.46), and 1.27 (0.99-1.62), respectively. These findings are compatible with modest to moderate effects of sleep-disordered breathing on heterogeneous manifestations of CVD within a range of AHI values that are considered normal or only mildly elevated.

}, keywords = {Aged, Cardiovascular Diseases, Cohort Studies, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Sleep Apnea Syndromes}, issn = {1073-449X}, doi = {10.1164/ajrccm.163.1.2001008}, author = {Shahar, E and Whitney, C W and Redline, S and Lee, E T and Newman, A B and Nieto, F J and O{\textquoteright}Connor, G T and Boland, L L and Schwartz, J E and Samet, J M} } @article {713, title = {In the elderly, interleukin-6 plasma levels and the -174G>C polymorphism are associated with the development of cardiovascular disease.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {22}, year = {2002}, month = {2002 Dec 01}, pages = {2066-71}, abstract = {

OBJECTIVE: Interleukin (IL)-6-mediated inflammation is involved in cardiovascular disease (CVD). We assessed IL-6 levels and the -174G>C genotype in a case-control study of men and women (average age 73 years) within the Cardiovascular Health Study.

METHODS AND RESULTS: Cases included incident angina, myocardial infarction (MI), and stroke (5-year follow-up), prevalent MI, and MRI-detectable infarcts. A control group and a group free of subclinical CVD were used for comparison. The -174C allele was associated with higher C-reactive protein (11\% higher, P=0.02), fibrinogen (3\% higher, P=0.02), and IL-6 (5\% higher; P=0.16). IL-6 was associated with increased atherosclerosis when the control group was compared with the group free of subclinical CVD. No further association with CVD events was found when case groups were compared with the control group. Compared with its absence, presence of the -174C allele was associated with risk of MRI infarcts (odds ratio 1.5).

CONCLUSIONS: IL-6 levels differentiated those with subclinical CVD from those without. Although the -174C allele was not associated with incident events, associations of the genotype with inflammation and MRI infarcts, combined with the plasma IL-6 results, suggest that IL-6 may chronically predispose an individual to develop atherosclerosis.

}, keywords = {Age Factors, Aged, Biomarkers, Cardiovascular Diseases, Case-Control Studies, Cytosine, Female, Follow-Up Studies, Genetic Predisposition to Disease, Genotype, Guanine, Health Surveys, Humans, Inflammation, Interleukin-6, Linear Models, Male, Polymorphism, Genetic, Predictive Value of Tests, Promoter Regions, Genetic}, issn = {1524-4636}, doi = {10.1161/01.atv.0000040224.49362.60}, author = {Jenny, Nancy S and Tracy, Russell P and Ogg, Malcolm S and Luong, Le Ahn and Kuller, Lewis H and Arnold, Alice M and Sharrett, A Richey and Humphries, Steve E} } @article {703, title = {Incidence, manifestations, and predictors of brain infarcts defined by serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study.}, journal = {Stroke}, volume = {33}, year = {2002}, month = {2002 Oct}, pages = {2376-82}, abstract = {

BACKGROUND AND PURPOSE: MRI-defined infarcts are common in the elderly. We sought to explore incidence, manifestations, and predictors of such infarcts.

METHODS: The Cardiovascular Health Study (CHS) is a population-based, longitudinal study of 5888 people aged > or =65 years. Participants have had extensive baseline and follow-up evaluations; 1433 participants underwent 2 MRI scans separated by 5 years and had no infarcts on initial MRI.

RESULTS: On follow-up MRI, 254 participants (17.7\%) had 1 or more infarcts. Most were single (75.6\%), subcortical (79.9\%), and small (3 to 20 mm in 87.0\%). Only 11.4\% of those with infarcts experienced a documented transient ischemic attack or stroke between the scans. Although participants were similar at initial MRI, those with MRI-defined infarcts on follow-up experienced greater decline than those without infarcts on the Modified Mini-Mental State Examination and Digit-Symbol Substitution test (both P<0.01). Severity of white matter changes on initial MRI was the strongest predictor of incident infarcts. When it was excluded from stepwise multivariable models, predictors were serum creatinine, age, and ankle-arm index.

CONCLUSIONS: Incident MRI-defined infarcts commonly affect the elderly. Most are small, subcortical, and not associated with acute symptoms recognized as a transient ischemic attack or stroke. Nonetheless, they cannot be considered silent because of their association with subtle cognitive deficits. These covert infarcts are associated with white matter changes, which may share a common pathophysiology. Whether control of vascular risk factors, such as blood pressure, would reduce the risk of developing these infarcts and associated cognitive decline deserves further investigation.

}, keywords = {Aged, Brain Infarction, California, Cohort Studies, Creatinine, Follow-Up Studies, Humans, Incidence, Longitudinal Studies, Magnetic Resonance Imaging, Maryland, Multivariate Analysis, Neuropsychological Tests, North Carolina, Odds Ratio, Pennsylvania, Predictive Value of Tests, Risk Factors}, issn = {1524-4628}, doi = {10.1161/01.str.0000032241.58727.49}, author = {Longstreth, W T and Dulberg, Corinne and Manolio, Teri A and Lewis, Michael R and Beauchamp, Norman J and O{\textquoteright}Leary, Daniel and Carr, Jeff and Furberg, Curt D} } @article {696, title = {Nuclear magnetic resonance spectroscopy of lipoproteins and risk of coronary heart disease in the cardiovascular health study.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {22}, year = {2002}, month = {2002 Jul 01}, pages = {1175-80}, abstract = {

OBJECTIVES: Relationships between incident cardiovascular disease and lipoprotein subclass measurements by nuclear magnetic resonance spectroscopy were evaluated in the Cardiovascular Health Study (CHS) in a nested case-cohort analysis.

METHODS AND RESULTS: The case group consisted of 434 participants with incident myocardial infarction (MI) and angina diagnosed after entry to the study (1990 to 1995) and the comparison group, 249 "healthy" participants with no prevalent clinical or subclinical disease. By univariate analysis, the median levels for healthy participants versus participants with incident MI and angina were 0 versus 7 mg\% for small low density lipoprotein (LDL), 1501 versus 1680 nmol/L for the number of LDL particles, and 21.6 versus 21.3 for LDL size, and these values were significantly different between "healthy" participants and those with incident MI and angina for women but not men. The levels of less dense LDL, which is most of the total LDL cholesterol among women, was not related to incident MI and angina. For women, large high density lipoprotein cholesterol (HDLc), but not small HDLc, levels were significantly higher for healthy participants compared with levels for participants with MI and angina. For men and women, levels of total and very low density lipoprotein triglycerides were higher for the case group than for the healthy group. In multivariate models for women that included triglycerides and HDLc, the number of LDL particles (but not LDL size) remained significantly related to MI and angina.

CONCLUSIONS: Small LDL, the size of LDL particles, and the greater number of LDL particles are related to incident coronary heart disease among older women.

}, keywords = {Aged, Aging, Cardiovascular System, Case-Control Studies, Cohort Studies, Coronary Disease, Female, Health Status, Humans, Lipoproteins, HDL, Lipoproteins, LDL, Lipoproteins, VLDL, Magnetic Resonance Spectroscopy, Male, Nuclear Magnetic Resonance, Biomolecular, Risk Factors, Sex Factors}, issn = {1524-4636}, doi = {10.1161/01.atv.0000022015.97341.3a}, author = {Kuller, Lewis and Arnold, Alice and Tracy, Russell and Otvos, James and Burke, Greg and Psaty, Bruce and Siscovick, David and Freedman, David S and Kronmal, Richard} } @article {704, title = {Relationship between coronary artery calcification and other measures of subclinical cardiovascular disease in older adults.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {22}, year = {2002}, month = {2002 Oct 01}, pages = {1674-9}, abstract = {

BACKGROUND: In the Cardiovascular Health Study, subclinical cardiovascular disease (CVD) predicted CVD events in older adults. The extent to which this measure or its components reflect calcified coronary disease is unknown.

METHODS AND RESULTS: Coronary artery calcium (CAC) was assessed with electron beam tomography in 414 participants without clinical CVD and examined using cut points (CAC> or =400 and CAC> or =800) and the log(CAC); 274 had subclinical CVD by ankle-arm index, ECG, or carotid ultrasound. Cut points for subclinical disease as previously defined in the Cardiovascular Health Study were examined as well as continuous measures to produce receiver operating characteristic curve curves. A low ankle-arm index was highly specific for a high CAC score. The internal carotid artery intima-media thickness was most strongly correlated with CAC (r=0.30) and was significantly related to both CAC cut points and to the log(CAC) score independently of all other measures.

CONCLUSIONS: In these community-dwelling older adults without clinical CVD, internal carotid artery intima-media thickness was most closely related to CAC. However, 17.5\% of those with a CAC> or =400 would be missed in the ascertainment of subclinical atherosclerosis using the previously published composite of subclinical atherosclerosis. Prospective follow-up will determine whether the CAC score improves prediction of CVD events over other noninvasive measures.

}, keywords = {Aged, Aged, 80 and over, Calcinosis, Cardiovascular Diseases, Carotid Stenosis, Cohort Studies, Coronary Artery Disease, Demography, Female, Humans, Male, Prevalence, Risk Factors, Sensitivity and Specificity, Sex Factors, Tomography, X-Ray Computed, Tunica Intima, Tunica Media}, issn = {1524-4636}, doi = {10.1161/01.atv.0000033540.89672.24}, author = {Newman, Anne B and Naydeck, Barbara L and Sutton-Tyrrell, Kim and Edmundowicz, Daniel and O{\textquoteright}Leary, Daniel and Kronmal, Richard and Burke, Gregory L and Kuller, Lewis H} } @article {694, title = {Underdiagnosis of sleep apnea syndrome in U.S. communities.}, journal = {Sleep Breath}, volume = {6}, year = {2002}, month = {2002 Jun}, pages = {49-54}, abstract = {

We hypothesize that clinical recognition rates for obstructive sleep apnea-hypoapnea syndrome (OSAHS) are influenced by comorbidity and demographic factors. Data on medical disorders, symptoms of sleep disorders, and cardiovascular risk factors gathered from 15,699 individuals in the Sleep Heart Health Study were compared. Participants were classified into three groups: those with a self-reported physician diagnosis of OSAHS, those with self-reported physician-diagnosed and -treated OSAHS, and those reporting both frequent snoring and daytime sleepiness (two-symptom group). Among all participants, 4.1\% reported two symptoms (range across sites: 1.55 to 7.23\%), whereas 1.6\% reported a physician diagnosis of OSAHS (range: 0.66 to 2.88\%) and 0.6\% reported physician diagnosis and treatment (range: 0.11 to 0.88\%). Recognized OSAHS groups were similar to the two-symptom group in age, having a sleeping partner, measured blood pressure, total cholesterol, and race. In a logistic model that included age along with characteristics found to vary significantly among the three groups (gender, body mass index [BMI], high-density lipoprotein cholesterol levels, hypertension), only male gender and BMI were increased in those with physician-diagnosed and -treated OSAHS. We conclude that disparities (especially in women and in those with lower BMI) exist between current recognition rates for OSAHS and the estimated prevalence by symptom report across the United States.

}, keywords = {Diagnosis, Differential, Diagnostic Errors, Female, Humans, Male, Middle Aged, Prevalence, Sleep Apnea Syndromes, United States}, issn = {1520-9512}, doi = {10.1007/s11325-002-0049-5}, author = {Kapur, Vishesh and Strohl, Kingman P and Redline, Susan and Iber, Conrad and O{\textquoteright}Connor, George and Nieto, Javier} } @article {753, title = {Alcohol consumption and carotid atherosclerosis in older adults: the Cardiovascular Health Study.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {23}, year = {2003}, month = {2003 Dec}, pages = {2252-9}, abstract = {

OBJECTIVE: The association of alcohol use with atherosclerosis is inconsistent in previous studies.

METHODS AND RESULTS: For the Cardiovascular Health Study, 5888 adults aged 65 years and older underwent a standardized interview and examination. They reported beer, wine, and liquor use individually and underwent B-mode ultrasonography to determine internal and common carotid intima-media thickness (IMT). We compared composite carotid IMT values cross-sectionally using linear regression to adjust for demographic and clinical characteristics. Among 4247 participants free of cardiovascular disease, consumers of 1 to 6 drinks per week had 0.07+/-0.04-mm lower composite IMT and consumers of 14 or more drinks per week had 0.07+/-0.05-mm higher IMT than abstainers (P quadratic trend=0.02). We found similar relationships using internal and common carotid thickness measures and among men and women. The higher IMT associated with heavier alcohol use was particularly strong among 1592 participants with confirmed cardiovascular disease (0.24+/-0.09 mm greater than abstainers). Controlling for HDL cholesterol levels reduced the effect on composite IMT among consumers of 1 to 6 drinks per week by 22\%.

CONCLUSIONS: Relative to older adults who abstain from alcohol, consumption of 1 to 6 drinks per week had an inverse association with carotid atherosclerosis whereas consumption of 14 or more drinks had a positive association.

}, keywords = {Aged, Alcohol Drinking, Cardiovascular Diseases, Carotid Artery Diseases, Cross-Sectional Studies, Female, Health Surveys, Humans, Longitudinal Studies, Male, Prospective Studies}, issn = {1524-4636}, doi = {10.1161/01.ATV.0000101183.58453.39}, author = {Mukamal, Kenneth J and Kronmal, Richard A and Mittleman, Murray A and O{\textquoteright}Leary, Daniel H and Polak, Joseph F and Cushman, Mary and Siscovick, David S} } @article {731, title = {Cereal, fruit, and vegetable fiber intake and the risk of cardiovascular disease in elderly individuals.}, journal = {JAMA}, volume = {289}, year = {2003}, month = {2003 Apr 02}, pages = {1659-66}, abstract = {

CONTEXT: People older than 65 years are the fastest-growing segment of the population and account for the majority of cardiovascular disease (CVD) morbidity, mortality, and health care expenditures. Additionally, the influence of dietary habits on risk may be less pronounced in elderly persons, when atherosclerosis is more advanced. However, few data address the influence of diet on CVD risk in this population.

OBJECTIVE: To determine whether fiber consumption from fruit, vegetable, and cereal sources (including whole grains and bran) is associated with incident CVD in elderly persons.

DESIGN: Prospective cohort study conducted from 1989 to June 2000.

SETTING AND PARTICIPANTS: Population-based, multicenter study among 3588 men and women aged 65 years or older and free of known CVD at baseline in 1989-1990. Usual dietary fiber consumption was assessed at baseline (mean participant age, 72 years) using a 99-item food frequency questionnaire.

MAIN OUTCOME MEASURE: Incident CVD (combined stroke, ischemic heart disease death, and nonfatal myocardial infarction).

RESULTS: During 8.6 years mean follow-up, there were 811 incident CVD events. After adjustment for age, sex, education, diabetes, ever smoking, pack-years of smoking, daily physical activity, exercise intensity, alcohol intake, and fruit and vegetable fiber consumption, cereal fiber consumption was inversely associated with incident CVD (P for trend =.02), with 21\% lower risk (hazard ratio [HR], 0.79; 95\% confidence interval [CI], 0.62-0.99) in the highest quintile of intake, compared with the lowest quintile. In similar analyses, neither fruit fiber intake (P for trend =.98) nor vegetable fiber intake (P for trend =.95) were associated with incident CVD. When CVD events were separately evaluated, higher cereal fiber intake was associated with lower risk of total stroke and ischemic stroke and a trend toward lower risk of ischemic heart disease death. In a post hoc analysis, dark breads such as wheat, rye, or pumpernickel were associated with a lower risk of incident CVD (HR, 0.76; 95\% CI, 0.64-0.90) rather than cereal fiber from other sources.

CONCLUSIONS: Cereal fiber consumption late in life is associated with lower risk of incident CVD, supporting recommendations for elderly individuals to increase consumption of dietary cereal fiber.

}, keywords = {Aged, Cardiovascular Diseases, Dietary Fiber, Edible Grain, Female, Fruit, Humans, Male, Nutrition Assessment, Prospective Studies, Risk, Vegetables}, issn = {0098-7484}, doi = {10.1001/jama.289.13.1659}, author = {Mozaffarian, Dariush and Kumanyika, Shiriki K and Lemaitre, Rozenn N and Olson, Jean L and Burke, Gregory L and Siscovick, David S} } @article {721, title = {Hormone replacement therapy and sleep-disordered breathing.}, journal = {Am J Respir Crit Care Med}, volume = {167}, year = {2003}, month = {2003 May 01}, pages = {1186-92}, abstract = {

Disordered breathing during sleep is more common among postmenopausal women than among their premenopausal counterparts, possibly because of declining levels of estrogen and progesterone. We examined the relationship between the use of replacement hormones and sleep-disordered breathing in a sample of 2,852 noninstitutionalized women, 50 years of age or older, who participated in the Sleep Heart Health Study. The frequency of apneas and hypopneas per hour of sleep (apnea-hypopnea index) was determined by unattended, single-night polysomnography at the participant{\textquoteright}s home. The prevalence of sleep-disordered breathing (apnea-hypopnea index of 15 or more) among hormone users (61 of 907) was approximately half the prevalence among nonusers (286 of 1,945). Multivariable adjustment for known determinants of the disorder, including age, body mass index, and neck circumference, has attenuated the association, but only moderately (adjusted odds ratio, 0.55; 95\% confidence interval, 0.41 to 0.75). The inverse association between hormone use and sleep-disordered breathing was evident in various subgroups and was particularly strong among women 50 to 59 years old (adjusted odds ratio, 0.36; 95\% confidence interval, 0.21 to 0.60). If the observed associations are causal, hormone replacement therapy could have a role in preventing or alleviating sleep-disordered breathing.

}, keywords = {Age Distribution, Aged, Body Mass Index, Causality, Cohort Studies, Confidence Intervals, Estrogen Replacement Therapy, Female, Humans, Logistic Models, Middle Aged, Multivariate Analysis, Odds Ratio, Polysomnography, Postmenopause, Prevalence, Sensitivity and Specificity, Severity of Illness Index, Sleep Apnea Syndromes, Sleep Stages, United States}, issn = {1073-449X}, doi = {10.1164/rccm.200210-1238OC}, author = {Shahar, Eyal and Redline, Susan and Young, Terry and Boland, Lori L and Baldwin, Carol M and Nieto, F Javier and O{\textquoteright}Connor, George T and Rapoport, David M and Robbins, John A} } @article {740, title = {Hormone replacement therapy and the risk of incident congestive heart failure: the Cardiovascular Health Study.}, journal = {J Womens Health (Larchmt)}, volume = {12}, year = {2003}, month = {2003 May}, pages = {341-50}, abstract = {

BACKGROUND: The development of congestive heart failure (CHF) in older persons is related to a variety of mechanisms. Hormone replacement therapy (HRT) affects several of the pathways that may be important in the development of CHF. We hypothesized that HRT would be associated with a decreased risk of incident CHF.

METHODS: Using Cox proportional-hazards regression, we assessed the risk of incident CHF (n = 304) associated with time-dependent past and current use of HRT compared to never use. The Cardiovascular Health Study is a prospective cohort study of community-dwelling adults aged 65 years and older. This analysis included female participants without a history of CHF at baseline (n = 3223).

RESULTS: At baseline, 62\% were never users, 26\% were past users, and 12\% were current users of HRT. Compared with never users, the multivariable relative risk (RR) of CHF was 1.01 (95\% confidence interval [95\% CI] 0.76,1.34) for past users and 1.34 (0.93,1.94) for current users. Results were similar among most treatment and clinical subgroups, except that the association of current HRT with CHF appeared to depend on body mass index (BMI) or osteoporosis status. The RR was 0.82 (0.43,1.60) for normal weight women, 1.65 (0.95,2.88) for overweight women, and 2.22 (1.06,4.67) for obese women (p = 0.01 for interaction). Similarly, the RR was 0.15 (0.04,0.65) for women with osteoporosis and 1.82 (1.25,2.65) for women without osteoporosis (p = 0.001 for interaction).

CONCLUSIONS: Overall, HRT was not associated with the risk of incident CHF, although BMI and osteoporosis appeared to modify the association of HRT with CHF. The risk of CHF was lower in patients with lower BMI or osteoporosis.

}, keywords = {Aged, Aged, 80 and over, Body Mass Index, Cohort Studies, Estrogen Replacement Therapy, Female, Heart Failure, Humans, Incidence, Life Style, Middle Aged, Multivariate Analysis, Obesity, Osteoporosis, Postmenopausal, Proportional Hazards Models, Prospective Studies, Risk, Risk Factors, United States, Women{\textquoteright}s Health}, issn = {1540-9996}, doi = {10.1089/154099903765448853}, author = {Rea, Thomas D and Psaty, Bruce M and Heckbert, Susan R and Cushman, Mary and Meilahn, Elaine and Olson, Jean L and Lemaitre, Rozenn N and Smith, Nicholas L and Sotoodehnia, Nona and Chaves, Paulo H M} } @article {715, title = {Sleep and sleep-disordered breathing in adults with predominantly mild obstructive airway disease.}, journal = {Am J Respir Crit Care Med}, volume = {167}, year = {2003}, month = {2003 Jan 01}, pages = {7-14}, abstract = {

Neither the association between obstructive airways disease (OAD) and sleep apnea-hypopnea (SAH) nor the sleep consequences of each disorder alone and together have been characterized in an adult community setting. Our primary aims were (1) to determine if there is an association between OAD and SAH and (2) identify predictors of oxyhemoglobin desaturation during sleep in persons having OAD with and without SAH. Polysomnography and spirometry results from 5,954 participants in the Sleep Heart Health Study were analyzed. OAD was defined by a FEV1/FVC value less than 70\%. Assessment of SAH prevalence in OAD was performed using thresholds of respiratory disturbance index (RDI) greater than 10 and greater than 15. A total of 1,132 participants had OAD that was predominantly mild (FEV1/FVC 63.81 +/- 6.56\%, mean +/- SD). SAH was not more prevalent in participants with OAD than in those without OAD (22.32 versus 28.86\%, with and without OAD, respectively, at RDI threshold values greater than 10; and 13.97 versus 18.63\%, with and without OAD, respectively, at RDI threshold value greater than 15). In the absence of SAH, the adjusted odds ratio for sleep desaturation (> 5\% total sleep time with saturation < 90\%) was greater than 1.9 when FEV1/FVC was less than 65\%. Participants with both OAD and SAH had greater sleep perturbation and desaturation than those with one disorder. Generally mild OAD alone was associated with minimally altered sleep quality. We conclude that (1) there is no association between generally mild OAD and SAH; (2) exclusive of SAH and after adjusting for demographic factors and awake oxyhemoglobin saturation, an FEV1/FVC value less than 65\% is associated with increased risk of sleep desaturation; (3) desaturation is greater in persons with both OAD and SAH compared with each of these alone; and (4) individuals with generally mild OAD and without SAH in the community have minimally perturbed sleep.

}, keywords = {Aged, Cohort Studies, Female, Forced Expiratory Volume, Humans, Male, Middle Aged, Oxyhemoglobins, Polysomnography, Prospective Studies, Pulmonary Disease, Chronic Obstructive, Sleep, Sleep Apnea, Obstructive, Spirometry, Vital Capacity}, issn = {1073-449X}, doi = {10.1164/rccm.2203046}, author = {Sanders, Mark H and Newman, Anne B and Haggerty, Catherine L and Redline, Susan and Lebowitz, Michael and Samet, Jonathan and O{\textquoteright}Connor, George T and Punjabi, Naresh M and Shahar, Eyal} } @article {757, title = {"Successful aging": effect of subclinical cardiovascular disease.}, journal = {Arch Intern Med}, volume = {163}, year = {2003}, month = {2003 Oct 27}, pages = {2315-22}, abstract = {

BACKGROUND: Cardiovascular diseases are the primary cause of death in older adults. Among those without clinical disease, high levels of subclinical disease are associated with poor survival. The effect of the extent of subclinical cardiovascular disease on the quality of the remaining years has not been defined.

METHODS: In a longitudinal cohort study, 2932 men and women aged 65 years and older were followed up for 8 years to determine the likelihood of maintaining intact health and functioning. Successful aging was defined as remaining free of cardiovascular disease, cancer, and chronic obstructive pulmonary disease and with intact physical and cognitive functioning.

RESULTS: Younger age at study entry and a lower extent of subclinical cardiovascular disease were independently associated with the likelihood of maintaining successful aging. In age-stratified summaries, those with subclinical disease had a trajectory of decline similar to subjects 5 years older without subclinical vascular disease. Regression analyses showed that the decline associated with subclinical disease was equivalent to 6.5 (95\% confidence interval, 6.4-6.6) years of aging for women and 5.6 (95\% confidence interval, 5.4-5.8) years of aging for men. Individual measures of the extent of cardiovascular disease, diabetes mellitus, smoking, and higher C-reactive protein level were also independently predictive of fewer years of successful aging, but none of these factors substantially attenuated the effect of age itself.

CONCLUSIONS: There is a graded relationship between the extent of vascular disease measured noninvasively and the likelihood of maintaining intact health and function. Prevention of subclinical vascular disease may increase the quality and the quantity of years in late life.

}, keywords = {Aged, Aged, 80 and over, Aging, C-Reactive Protein, Cardiovascular Diseases, Female, Health Status, Humans, Longitudinal Studies, Male, Quality of Life, Regression Analysis, Risk Factors}, issn = {0003-9926}, doi = {10.1001/archinte.163.19.2315}, author = {Newman, Anne B and Arnold, Alice M and Naydeck, Barbara L and Fried, Linda P and Burke, Gregory L and Enright, Paul and Gottdiener, John and Hirsch, Calvin and O{\textquoteright}Leary, Daniel and Tracy, Russell} } @article {728, title = {Variation in symptoms of sleep-disordered breathing with race and ethnicity: the Sleep Heart Health Study.}, journal = {Sleep}, volume = {26}, year = {2003}, month = {2003 Feb 01}, pages = {74-9}, abstract = {

STUDY OBJECTIVES: To examine the relation of sleep-related symptoms to race and ethnicity in a diverse sample of middle-aged and older men and women.

DESIGN: Cross-sectional questionnaire survey.

SETTING: In the initial phase of the Sleep Heart Health Study, men and women enrolled in participating epidemiologic cohort studies were surveyed.

PARTICIPANTS: 13,194 men and women 40 years of age and older, including 11,517 non-Hispanic white, 648 black, 643 American Indian, 296 Hispanic, and 90 Asian-Pacific Islander.

INTERVENTIONS: Not applicable.

MEASUREMENTS AND RESULTS: After adjustment for BMI and other factors, frequent snoring was more common among Hispanic women (odds ratio (OR) = 2.25, 95\% confidence interval (CI) = 1.48, 3.42) and black women (OR = 1.55, 95\% Ci = 1.13, 2.13) than among non-Hispanic white women. Hispanic men were significantly more likely to report frequent snoring than non-Hispanic white men (OR = 2.30, 95\% CI = 1.43, 3.69). Black, American Indian, and Asian men did not differ significantly from white men in snoring prevalence. American Indian women were significantly more likely to report breathing pauses during sleep than their white, non-Hispanic counterparts (OR = 1.52, 95\% CI 1.03, 2.24), although polysomnography data on a subset of the sample suggested that the association between this symptom reported on questionnaire and objective evidence of sleep-disordered breathing may be weaker among American Indians than among other groups. Mean Epworth Sleepiness Scale scores were slightly higher in black men and women than in their white, non-hispanic counterparts.

CONCLUSIONS: Frequent snoring was more common among black and Hispanic women and Hispanic men than among their white non-Hispanic counterparts, even after adjusting for BMI and other factors. Further research including polysomnography and objective measurements of sleepiness is needed to assess the physiologic and clinical significance of these findings.

}, keywords = {Adult, Cross-Sectional Studies, Electroencephalography, Electrooculography, Ethnic Groups, Female, Heart Rate, Humans, Male, Polysomnography, Severity of Illness Index, Sleep Apnea Syndromes, Snoring, Surveys and Questionnaires}, issn = {0161-8105}, author = {O{\textquoteright}Connor, George T and Lind, Bonnie K and Lee, Elisa T and Nieto, F Javier and Redline, Susan and Samet, Jonathan M and Boland, Lori L and Walsleben, Joyce A and Foster, Gregory L} } @article {803, title = {The association between lipid levels and the risks of incident myocardial infarction, stroke, and total mortality: The Cardiovascular Health Study.}, journal = {J Am Geriatr Soc}, volume = {52}, year = {2004}, month = {2004 Oct}, pages = {1639-47}, abstract = {

OBJECTIVES: To assess the association between lipid levels and cardiovascular events in older adults.

DESIGN: A prospective population-based study.

SETTING: Four field centers in U.S. communities.

PARTICIPANTS: A total of 5,201 adults aged 65 and older living in U.S. communities, plus a recruitment of 687 African Americans 3 years later.

MEASUREMENTS: Fasting lipid measures included low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol, and triglycerides.

RESULTS: At baseline, 1,954 men and 2,931 women were at risk for an incident myocardial infarction (MI) or stroke. During an average 7.5-year follow-up, 436 subjects had a coronary event, 332 had an ischemic stroke, 104 a hemorrhagic stroke, and 1,096 died. After adjustment, lipid measures were not major predictors of the outcomes of MI, ischemic stroke, hemorrhagic stroke, and total mortality. For total cholesterol and LDL-C, the associations with MI and ischemic stroke were only marginally significant. HDL-C was inversely associated with MI risk (hazard ratio=0.85 per standard deviation of 15.7 mg/dL, 95\% confidence interval=0.76-0.96). For the outcome of ischemic stroke, high levels of HDL-C were associated with a decreased risk in men but not women. Lipid measures were generally only weakly associated with the risks of hemorrhagic stroke or total mortality.

CONCLUSION: In this population-based study of older adults, most lipid measures were weakly associated with cardiovascular events. The association between low HDL-C and increased MI risk was nonetheless strong and consistent.

}, keywords = {African Americans, African Continental Ancestry Group, Aged, Female, Health Surveys, Humans, Incidence, Lipids, Male, Mortality, Myocardial Infarction, Population Surveillance, Prospective Studies, Risk Factors, Stroke, United States}, issn = {0002-8614}, doi = {10.1111/j.1532-5415.2004.52455.x}, author = {Psaty, Bruce M and Anderson, Melissa and Kronmal, Richard A and Tracy, Russell P and Orchard, Trevor and Fried, Linda P and Lumley, Thomas and Robbins, John and Burke, Greg and Newman, Anne B and Furberg, Curt D} } @article {766, title = {Cognitive impairment and decline are associated with carotid artery disease in patients without clinically evident cerebrovascular disease.}, journal = {Ann Intern Med}, volume = {140}, year = {2004}, month = {2004 Feb 17}, pages = {237-47}, abstract = {

BACKGROUND: Whether carotid artery disease is a cause of cognitive impairment in persons who have not had stroke is unknown. If this is the case, diminished performance on the Modified Mini-Mental State Examination should be more common in persons with left carotid artery disease than in those with right carotid artery disease.

OBJECTIVE: To determine whether left carotid artery disease is associated with cognitive impairment.

DESIGN: Cross-sectional and cohort study.

SETTING: Four U.S. communities participating in the Cardiovascular Health Study.

PATIENTS: 4006 right-handed men and women 65 years of age or older without history of stroke, transient ischemic attack, or carotid endarterectomy.

MEASUREMENTS: Internal carotid artery stenosis and intima-media thickness of the common carotid artery were assessed by using duplex ultrasonography. Cognitive impairment was defined as a score less than 80 on the Modified Mini-Mental State Examination, and cognitive decline was defined as an average decrease of more than 1 point annually in Modified Mini-Mental State Examination score during up to 5 years of follow-up. Multivariate logistic regression models were used to estimate the risk for cognitive impairment and decline associated with left internal carotid artery stenosis and intima-media thickness, after adjustment for measures of right-sided disease and risk factors for vascular disease.

RESULTS: After adjustment for right-sided stenosis, high-grade (> or =75\% narrowing of diameter) stenosis of the left internal carotid artery (32 patients) was associated with cognitive impairment (odds ratio, 6.7 [95\% CI, 2.4 to 18.1] compared with no stenosis) and cognitive decline (odds ratio, 2.6 [CI, 1.1 to 6.3]). Intima-media thickness of the left common carotid artery was associated with cognitive impairment and decline in univariate analysis, but this effect did not persist after adjustment.

CONCLUSIONS: Cognitive impairment and decline are associated with asymptomatic high-grade stenosis of the left internal carotid artery. The persistence of the association after adjustment for right-sided stenosis indicates that the association is not due to underlying vascular risk factors or atherosclerosis in general.

}, keywords = {Aged, Carotid Stenosis, Cognition Disorders, Cohort Studies, Cross-Sectional Studies, Female, Humans, Male, Neuropsychological Tests, Odds Ratio, Risk Factors, Tunica Intima}, issn = {1539-3704}, doi = {10.7326/0003-4819-140-4-200402170-00005}, author = {Johnston, S Claiborne and O{\textquoteright}Meara, Ellen S and Manolio, Teri A and Lefkowitz, David and O{\textquoteright}Leary, Daniel H and Goldstein, Steven and Carlson, Michelle C and Fried, Linda P and Longstreth, W T} } @article {780, title = {Medications and cardiovascular health in older adults: room for improvement in prevention and treatment.}, journal = {Am J Geriatr Cardiol}, volume = {13}, year = {2004}, month = {2004 May-Jun}, pages = {161-7}, keywords = {Aged, Antihypertensive Agents, Atrial Fibrillation, Cardiovascular Diseases, Diabetes Mellitus, Health Knowledge, Attitudes, Practice, Heart Failure, Humans, Hyperlipidemias, Hypertension, Hypolipidemic Agents, Risk Factors}, issn = {1076-7460}, doi = {10.1111/j.1076-7460.2004.02124.x}, author = {Rhoads, Caroline S and Psaty, Bruce M and Olson, Jean L and Furberg, Curt D} } @article {763, title = {Plasma total homocysteine levels and cranial magnetic resonance imaging findings in elderly persons: the Cardiovascular Health Study.}, journal = {Arch Neurol}, volume = {61}, year = {2004}, month = {2004 Jan}, pages = {67-72}, abstract = {

BACKGROUND: An elevated plasma total homocysteine (tHcy) level is associated with an increased risk of vascular disease. Some studies have shown associations between tHcy level and small-vessel disease of the brain on magnetic resonance imaging (MRI).

DESIGN: In the Cardiovascular Health Study, 622 elderly participants without a history of transient ischemic attack or stroke had results for tHcy level and cranial MRI. We sought associations between tHcy level and MRI findings of ventricular grade, sulcal grade, white matter grade, and infarcts. We controlled for other factors, including levels of creatinine, folate, and vitamins B(6) and B(12) and methylenetetrahydrofolate reductase genotype.

RESULTS: After controlling for age and sex, tHcy level was not associated with the individual MRI findings. Further adjustments for other factors and other blood tests had little effect on these findings. The only significant finding was a linear trend across quintiles of tHcy level and a pattern of MRI findings combining infarcts and high white matter grade. The linear trend remained significant after controlling for other risk factors and atherosclerotic markers (top quintile vs bottom quintile odds ratio, 3.3; 95\% confidence interval, 0.96-11.20; P =.04 for linear trend) but was slightly diminished after further controlling for creatinine, folate, and vitamins B(6) and B(12) (odds ratio, 3.2; 95\% confidence interval, 0.81-13.10; P =.07 for linear trend).

CONCLUSION: We were unable to confirm the results of previous studies with respect to tHcy level and individual MRI findings, although an association was seen for an MRI pattern combining infarcts and high white matter grade.

}, keywords = {Aged, Aging, Brain, Brain Infarction, Female, Homocysteine, Humans, Magnetic Resonance Imaging, Male, Odds Ratio, Radiography, Risk Factors}, issn = {0003-9942}, doi = {10.1001/archneur.61.1.67}, author = {Longstreth, W T and Katz, Ronit and Olson, Jean and Bernick, Charles and Carr, J Jeffrey and Malinow, M Ren{\'e} and Hess, David L and Cushman, Mary and Schwartz, Stephen M} } @article {789, title = {The relationship of fasting serum radioimmune insulin levels to incident coronary heart disease in an insulin-treated diabetic cohort.}, journal = {J Clin Endocrinol Metab}, volume = {89}, year = {2004}, month = {2004 Jun}, pages = {2852-8}, abstract = {

It is not known whether insulin levels, in the setting of insulin treatment, are an independent risk factor for coronary heart disease (CHD). We studied a cohort of 116 insulin-treated individuals, 65 yr or older, who were followed for 5.6-9 yr. All were free of CHD at baseline. There were 47 incident CHD events. In Cox proportional hazards modeling, with fasting immune-reactive insulin levels as a continuous variable, the hazard ratio for CHD was statistically significant (P < 0.0001). When insulin levels were divided into intervals, those in the third interval [43-150 microU/ml (258-900 pmol/liter)] had an adjusted 30\% increased relative risk (95\% confidence interval, 0.57, 2.98) compared with those in the first interval [<20 microU/ml (<120 pmol/liter)]. Those in the fourth interval [151-400 microU/ml (906-2400 pmol/liter)] had an adjusted 5.6-fold increased risk (2.3-13.1; P < 0.0001). Approximately 15\% of the cohort had such elevated insulin levels. Immune-reactive insulin levels were strongly correlated with specific insulin, proinsulin, and insulin antibody levels. Markedly elevated fasting immune-reactive insulin levels were an independent risk factor for CHD in this study of insulin-treated older adults. These observational findings should be confirmed through larger prospective studies, given their implications for insulin therapy.

}, keywords = {Aged, Cohort Studies, Coronary Disease, Diabetes Mellitus, Type 1, Fasting, Female, Follow-Up Studies, Humans, Hypoglycemic Agents, Incidence, Insulin, Male, Radioimmunoassay, Risk Factors}, issn = {0021-972X}, doi = {10.1210/jc.2003-031822}, author = {Kronmal, Richard A and Barzilay, Joshua I and Tracy, Russell P and Savage, Peter J and Orchard, Trevor J and Burke, Gregory L} } @article {776, title = {Sleep and reported daytime sleepiness in normal subjects: the Sleep Heart Health Study.}, journal = {Sleep}, volume = {27}, year = {2004}, month = {2004 Mar 15}, pages = {293-8}, abstract = {

STUDY OBJECTIVES: To describe the distribution of nocturnal sleep characteristics and reports of daytime sleepiness in a large well-defined group of healthy adults.

DESIGN: The Sleep Heart Health Study is a multicenter study examining sleep and cardiopulmonary parameters through nocturnal polysomnography in adults enrolled in geographically distinct cardiovascular cohorts.

SETTING: Community setting.

PARTICIPANTS: 470 subjects enrolled in the Sleep Heart Health Study (n = 6440) were selected as a {\textquoteright}normative{\textquoteright} group based on screening of health conditions and daily habits that could interfere with sleep.

MEASUREMENTS AND RESULTS: Home-based nocturnal polysomnography was obtained on all participants and centrally scored for sleep and respiratory parameters. Demographic and health-related data were obtained and updated at the time of the home visit. Sleep efficiency decreased by 1.6\% for each 10 years of increased age. Sleep time decreased by 0.1 hours (6.0 minutes) for each 10-year age increase and was longer in women. The arousal index increased by 0.8 for each 10-year increase in age and was lower by 1.4 in women. Women had a lower mean percentage of stage 1 and stage 2 sleep. Mean percentage of slow-wave sleep was higher in women (by 6.7\%). Percentage of slow-wave sleep decreased with increased age for men only (by 1.9\% for each 10-year age change).

CONCLUSIONS: Data suggest a clear lessening in the quantity and quality of sleep with age that appears to be more rapid in males compared to females.

}, keywords = {Aged, Aged, 80 and over, Cardiovascular Diseases, Circadian Rhythm, Cohort Studies, Disorders of Excessive Somnolence, Female, Health Status, Humans, Male, Middle Aged, Polysomnography, Sleep, Sleep Stages, Surveys and Questionnaires}, issn = {0161-8105}, doi = {10.1093/sleep/27.2.293}, author = {Walsleben, Joyce A and Kapur, Vishesh K and Newman, Anne B and Shahar, Eyal and Bootzin, Richard R and Rosenberg, Carl E and O{\textquoteright}Connor, George and Nieto, F Javier} } @article {801, title = {Stroke risk factors and loss of high cognitive function.}, journal = {Neurology}, volume = {63}, year = {2004}, month = {2004 Sep 14}, pages = {793-9}, abstract = {

BACKGROUND: Modifiable stroke risk factors may contribute to age-associated declines in cognitive function. Individuals with high levels of cognitive function after midlife may have less exposure to these stroke risk factors or may be less susceptible to their effects on cognition.

METHODS: The Cardiovascular Health Study (CHS)* is a population-based, longitudinal cohort study of 5,888 people age 65 years and older. Participants (n = 4,129) who were free of dementia, stroke, or TIA at the time of baseline cranial MRI were selected for analysis. High cognitive function at baseline was defined by performance at or above midlife norms on the Modified Mini-Mental State Examination (3MS).

RESULTS: The odds of having high cognitive function at baseline decreased by quartile of stroke risk (highest vs lowest risk quartile, adjusted odds ratio [OR] 0.68; 95\% CI 0.52 to 0.88; p for trend = 0.005). Stroke risk was a predictor of decline on the 3MS in those with typical levels of cognitive function at baseline, even in the absence of incident stroke or TIA (highest vs lowest risk quartile for 3MS decline, adjusted OR 2.11; 95\% CI 1.42 to 3.13; p for trend < 0.001). In contrast, stroke risk was not associated with decline on the 3MS in those with high cognitive function at baseline (p = 0.03 for interaction).

CONCLUSIONS: In a cohort of older adults without stroke, TIA, or dementia, cognitive function and incident cognitive decline were associated with risk for stroke. Additional studies are needed to determine whether modification of stroke risk factors can reduce the cognitive decline that is often attributed to normal aging.

}, keywords = {Aged, Aged, 80 and over, Aging, Cognition Disorders, Cohort Studies, Comorbidity, Female, Follow-Up Studies, Higher Nervous Activity, Humans, Incidence, Male, Risk Assessment, Risk Factors, Sampling Studies, Sensitivity and Specificity, Severity of Illness Index, Stroke, United States}, issn = {1526-632X}, doi = {10.1212/01.wnl.0000137014.36689.7f}, author = {Elkins, J S and O{\textquoteright}Meara, E S and Longstreth, W T and Carlson, M C and Manolio, T A and Johnston, S C} } @article {778, title = {Subclinical cardiovascular disease in older adults: insights from the Cardiovascular Health Study.}, journal = {Am J Geriatr Cardiol}, volume = {13}, year = {2004}, month = {2004 May-Jun}, pages = {137-51}, abstract = {

Knowledge about the epidemiology of subclinical cardiovascular disease (SCVD) in older adults may hold the key for improved opportunities for primary prevention of cardiovascular disease (CVD), a top clinical and public health priority. This review reports findings on the prevalence of SCVD and the ability of SCVD measures to predict incident and adverse outcomes from one of the largest (N=5888) and most comprehensive prospective observational studies on SCVD in older adults, the Cardiovascular Health Study. According to a composite index that combined SCVD measures from different vascular beds, the overall prevalence of SCVD was 37\%, making it as common as clinically overt CVD in older adults. SCVD measures strongly predicted incident CVD, stroke, mortality, frailty, and physical and cognitive decline, even after adjustment for traditional CVD risk factors. Ongoing research will address the potential use of SCVD for clinical decision making in older adults.

}, keywords = {Aged, Cardiovascular Diseases, Coronary Artery Disease, Heart Failure, Humans, Longitudinal Studies, Prevalence, Risk Assessment, Risk Factors}, issn = {1076-7460}, doi = {10.1111/j.1076-7460.2004.02120.x}, author = {Chaves, Paulo H M and Kuller, Lewis H and O{\textquoteright}Leary, Daniel H and Manolio, Teri A and Newman, Anne B} } @article {873, title = {Cystatin C and incident peripheral arterial disease events in the elderly: results from the Cardiovascular Health Study.}, journal = {Arch Intern Med}, volume = {165}, year = {2005}, month = {2005 Dec 12-26}, pages = {2666-70}, abstract = {

BACKGROUND: The association of cystatin C, a novel marker of renal function, with risk for developing complications related to peripheral arterial disease (PAD) has not been examined.

METHODS: We evaluated the hypothesis that a high cystatin C concentration is independently associated with future PAD events among 4025 participants in the Cardiovascular Health Study who underwent serum cystatin C measurement at the 1992-1993 visit and who did not have PAD at baseline. The association of cystatin C quintiles with time to first lower-extremity PAD procedure (bypass surgery, angioplasty, or amputation) was evaluated using multivariable proportional hazards models. Secondary analyses were conducted using quintiles of serum creatinine level and estimated glomerular filtration rate (eGFR).

RESULTS: The annualized risk of undergoing a procedure for PAD was 0.43\% per year among participants in the highest cystatin C quintile (>1.27 mg/L) compared with 0.21\% per year or less in all other quintiles. After multivariable adjustment for known risk factors for PAD, elevated cystatin C levels remained associated with the outcome (hazard ratio, 2.5 for highest vs lowest quintile of cystatin C, 95\% confidence interval, 1.2-5.1). The highest quintiles of serum creatinine level and eGFR were not associated with future PAD events in either unadjusted or adjusted analyses.

CONCLUSION: Elevated concentrations of cystatin C were independently predictive of incident PAD events among community-dwelling elderly patients.

}, keywords = {Aged, Cohort Studies, Cystatin C, Cystatins, Female, Health Surveys, Humans, Longitudinal Studies, Male, Peripheral Vascular Diseases, Predictive Value of Tests, Risk Factors, ROC Curve, United States}, issn = {0003-9926}, doi = {10.1001/archinte.165.22.2666}, author = {O{\textquoteright}Hare, Ann M and Newman, Anne B and Katz, Ronit and Fried, Linda F and Stehman-Breen, Catherine O and Seliger, Stephen L and Siscovick, David S and Shlipak, Michael G} } @article {833, title = {Factors associated with incidence and persistence of symptoms of disturbed sleep in an elderly cohort: the Cardiovascular Health Study.}, journal = {Am J Med Sci}, volume = {329}, year = {2005}, month = {2005 Apr}, pages = {163-72}, abstract = {

BACKGROUND: There are limited data pertaining to the factors influencing the incidence and persistence of sleep symptoms in the elderly. The purpose of this study was to determine the incidence and nonremission rates of the following sleep symptoms: trouble falling asleep (TFA), frequent awakenings (FA), and excessive daytime sleepiness (EDS) in the Cardiovascular Health Study (CHS), a prospective multicenter study of cardiovascular disease in a large cohort of elderly adults. Factors influencing these rates were assessed as well.

METHODS: 4467 participants in CHS were surveyed for the presence of TFA, FA, and EDS as well as other health problems at their baseline examination and at a follow-up examination 1 to 4 years later.

RESULTS: Annualized incidence and nonremission rates were the following: TFA (2.8\% and 15.4\%), FA (12.3\% and 22.7\%), and EDS (4.4\% and 13.4\%). Women were more likely to have incident and persistent TFA. Depression was the primary factor predicting the incidence of all three sleep symptoms. However, other health conditions, including respiratory symptoms and cardiovascular disease, and limitation in activities of daily living were important as well. Depression also was the most important factor associated with persistence of these sleep symptoms. The role of other health conditions in determining nonremission was much more limited.

CONCLUSIONS: Incidence of sleep disturbances in the elderly is related to depression, health conditions, and physical functioning. However, persistence of sleep disturbances is best predicted by the presence of depression.

}, keywords = {Aged, Cardiovascular Diseases, Cohort Studies, Depression, Female, Health Status, Humans, Incidence, Logistic Models, Male, Odds Ratio, Prevalence, Risk Factors, Sex Factors, Sleep Initiation and Maintenance Disorders, Surveys and Questionnaires}, issn = {0002-9629}, doi = {10.1097/00000441-200504000-00001}, author = {Quan, Stuart F and Katz, Ronit and Olson, Jean and Bonekat, William and Enright, Paul L and Young, Terry and Newman, Anne} } @article {857, title = {Haptoglobin phenotype, sleep-disordered breathing, and the prevalence of cardiovascular disease: the Sleep Heart Health Study.}, journal = {Sleep}, volume = {28}, year = {2005}, month = {2005 Feb}, pages = {207-13}, abstract = {

BACKGROUND: Diabetes is an independent risk factor for cardiovascular disease, and there is growing evidence that sleep-disordered breathing also may increase the risk of cardiovascular disease. The mechanism responsible for increased susceptibility of people with diabetes to cardiovascular disease is thought to share several features with sleep-disordered breathing, notably increased oxidative stress. We recently demonstrated that a particular haptoglobin phenotype that is associated with differential antioxidant activity is an independent risk factor for cardiovascular disease in individuals with diabetes. We therefore sought to determine whether sleep-disordered breathing and cardiovascular disease are more strongly associated among people with the unfavorable haptoglobin phenotype.

METHODS: We tested this hypothesis in 2612 middle-aged and older participants from the Sleep Heart Health Study. Haptoglobin phenotyping was performed by gel electrophoresis. Respiratory disturbance index was assessed by standard methods. Logistic regression analysis was performed to estimate the association between haptoglobin phenotype and cardiovascular disease, adjusting for known cardiovascular risk factors (age, sex, diabetes, smoking, lipid levels, and hypertension). Possible modification by haptoglobin phenotype of the association of sleep-disordered breathing with cardiovascular disease prevalence was explored by examining interaction terms.

RESULTS: We found no significant association between haptoglobin phenotype and prevalent cardiovascular disease in this cohort, nor were significant interactions found between haptoglobin phenotype and sleep-disordered breathing on the prevalence of cardiovascular disease.

CONCLUSIONS: Sleep-disordered breathing did not appear to interact with haptoglobin phenotype in modifying the association with prevalent cardiovascular disease in the Sleep Heart Health Study. These findings could be due to the absence of association or to survivor bias in these cross-sectional analyses.

}, keywords = {Aged, Angioplasty, Balloon, Coronary, Coronary Artery Bypass, Cross-Sectional Studies, Female, Haptoglobins, Humans, Male, Middle Aged, Myocardial Infarction, Oxidative Stress, Phenotype, Polysomnography, Prevalence, Sleep Apnea Syndromes}, issn = {0161-8105}, doi = {10.1093/sleep/28.2.207}, author = {Levy, Andrew P and Zhang, Lin and Miller-Lotan, Rachel and Redline, Susan and O{\textquoteright}Connor, George T and Quan, Stuart F and Resnick, Helaine E} } @article {853, title = {Hospitalization for pneumonia in the Cardiovascular Health Study: incidence, mortality, and influence on longer-term survival.}, journal = {J Am Geriatr Soc}, volume = {53}, year = {2005}, month = {2005 Jul}, pages = {1108-16}, abstract = {

OBJECTIVES: To estimate the rate of hospitalization for pneumonia in community-dwelling older adults and to assess its risk factors and contribution to mortality.

DESIGN: Prospective observational study.

SETTING: The Cardiovascular Health Study (CHS) in four U.S. communities.

PARTICIPANTS: Five thousand eight hundred eighty-eight men and women aged 65 and older who were followed for a median 10.7 years.

MEASUREMENTS: Participants were interviewed about medical history and demographics; evaluated for lung, physical, and cognitive function; and followed for hospitalizations, cardiovascular disease, and death.

RESULTS: Nearly 10\% of the cohort was hospitalized for pneumonia, for a rate of 11.1 per 1,000 person-years (95\% confidence interval (CI)=10.2-12.0). Risk factors included older age, male sex, current and past smoking, poor physical and lung function, and history of cardiovascular disease and chronic obstructive pulmonary disease. Ten percent of participants died during their incident pneumonia hospitalization, and death rates were high in those who survived to discharge. Compared with participants who had not been hospitalized for pneumonia, the relative risk of total mortality was 4.9 (95\% CI=4.1-6.0) during the first year after hospitalization and 2.6 (95\% CI=2.2-3.1) thereafter, adjusted for age, sex, and race. The respective relative risks were 3.9 (95\% CI=3.1-4.8) and 2.0 (95\% CI=1.6-2.4) after further adjustment for baseline history of cardiovascular disease; diabetes mellitus; smoking; and measures of lung, physical, and cognitive function.

CONCLUSION: In older people, hospitalization for pneumonia is common and is associated with an elevated risk of death, as shown in this population-based, prospective cohort.

}, keywords = {Aged, Aged, 80 and over, Cognition, Comorbidity, Diabetes Complications, Female, Hospitalization, Humans, Male, Mortality, Pneumonia, Prospective Studies, Respiratory Physiological Phenomena, Risk Factors, Smoking}, issn = {0002-8614}, doi = {10.1111/j.1532-5415.2005.53352.x}, author = {O{\textquoteright}Meara, Ellen S and White, Mark and Siscovick, David S and Lyles, Mary F and Kuller, Lewis H} } @article {812, title = {Incidence, manifestations, and predictors of worsening white matter on serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study.}, journal = {Stroke}, volume = {36}, year = {2005}, month = {2005 Jan}, pages = {56-61}, abstract = {

BACKGROUND AND PURPOSE: Magnetic resonance imaging (MRI) scans in the elderly commonly show white matter findings that may raise concerns. We sought to document incidence, manifestations, and predictors of worsening white matter grade on serial imaging.

METHODS: The Cardiovascular Health Study is a population-based, longitudinal study of 5888 people aged 65 years and older, of whom 1919 have had extensive initial and follow-up evaluations, including 2 MRI scans separated by 5 years. Scans were read without clinical information in standard side-by-side fashion to determine worsening white matter grade.

RESULTS: Worsening was evident in 538 participants (28\%), mostly (85\%) by 1 grade. Although similar at initial scan, participants with worsening white matter grade, compared with those without, experienced greater decline on modified Mini-Mental State examination and Digit-Symbol Substitution test (both P< or =0.001) after controlling for potential confounding factors, including occurrence of transient ischemic attack or stroke between scans. Independent predictors of worsening white matter grade included cigarette smoking before initial scan and infarct on initial scan. Otherwise, predictors differed according to white matter grade on initial scan. For low initial grade, increased age, increased diastolic blood pressure, increased high-density lipoprotein cholesterol, and decreased low-density lipoprotein cholesterol were associated with increased risk of worsening. For high initial grade, any cardiovascular disease and low ankle-arm index were associated with decreased risk of worsening, whereas use of diuretics and statins were associated with increased risk.

CONCLUSIONS: Worsening white matter grade on serial MRI scans in elderly is common, is associated with cognitive decline, and has complex relations with cardiovascular risk factors.

}, keywords = {Aged, Brain, Cardiovascular Diseases, Cognition Disorders, Female, Humans, Incidence, Leukoaraiosis, Longitudinal Studies, Magnetic Resonance Imaging, Male, Risk Factors, Stroke}, issn = {1524-4628}, doi = {10.1161/01.STR.0000149625.99732.69}, author = {Longstreth, W T and Arnold, Alice M and Beauchamp, Norman J and Manolio, Teri A and Lefkowitz, David and Jungreis, Charles and Hirsch, Calvin H and O{\textquoteright}Leary, Daniel H and Furberg, Curt D} } @article {867, title = {Polysomnographic predictors of blood pressure and hypertension: is one index best?}, journal = {Sleep}, volume = {28}, year = {2005}, month = {2005 Sep}, pages = {1122-30}, abstract = {

STUDY OBJECTIVES: Numerous indexes derived from polysomnography are available to characterize sleep-disordered breathing, with no consensus over which measures best predict clinical outcomes. This study addresses the relative merits of using alternative polysomnography indexes by characterizing the consistency and strength of the association of each index with blood pressure and hypertension.

DESIGN: Cross-sectional analyses of the association of alternative polysomnography indexes with blood pressure and hypertension were performed in construction and validation data sets. Linear and logistic regression models were used to identify the best variable sets.

PATIENTS: Data were obtained from 6433 men and women (age 62.9 +/- 11.0 years, 52.8\% women) who participated in the Sleep Heart Health Study.

RESULTS: In multivariable models, most indexes showed weak linear associations with systolic, with slightly stronger associations for diastolic blood pressure, and the log odds of hypertension. No single index showed consistent superiority over others. Systolic blood pressure, diastolic blood pressure, and hypertension each were associated with distinct sets of polysomnography variables. Slightly more-consistent associations were demonstrated for indexes that included hypopneas that were linked with either a 3\% or 4\% desaturation level than indexes that did not require hypopneas to have linked desaturation. For indexes that combined apneas and hypopneas, there was no evidence that linking obstructive apneas to desaturation or arousal altered prediction compared with counting all apneas.

CONCLUSION: In summary, using a rigorous cross-validation assessment, we did not identify a clear superiority of any single index for blood pressure or hypertension prediction. Detailed analyses of alternative definitions of the respiratory disturbance index support current scoring guidelines, where desaturation criteria are recommended for hypopneas but not apneas.

}, keywords = {Blood Pressure, Cross-Sectional Studies, Female, Humans, Hypertension, Male, Middle Aged, Polysomnography, Predictive Value of Tests, Reproducibility of Results, Severity of Illness Index, Sleep Apnea, Obstructive}, issn = {0161-8105}, doi = {10.1093/sleep/28.9.1122}, author = {Redline, Susan and Min, Nancy I and Shahar, Eyal and Rapoport, David and O{\textquoteright}Connor, George} } @article {839, title = {Predictors of heartburn during sleep in a large prospective cohort study.}, journal = {Chest}, volume = {127}, year = {2005}, month = {2005 May}, pages = {1658-66}, abstract = {

BACKGROUND AND AIMS: Nocturnal gastroesophageal reflux, which may result in nocturnal heartburn, has been demonstrated to be associated with a more severe form of gastroesophageal reflux disease (GERD). The aim of this study was to determine the clinical predictors of heartburn during sleep in a large prospective cohort study.

METHODS: Study subjects were members of the parent cohorts from which the Sleep Heart Health Study (SHHS) recruited participants. SHHS is a multicenter, longitudinal, cohort study of the cardiovascular consequences of sleep-disordered breathing. As part of the recruitment process, parent cohort members completed a questionnaire that permitted an assessment of the relationships between heartburn during sleep, and patient demographics, sleep abnormalities, medical history, and social habits in nine community-based parent cohorts across the United States. All variables, significant at the p < 0.05 level, were included as independent variables in multivariate logistic regression models with heartburn during sleep status included as the dependent variable

RESULTS: A total of 15,314 subjects completed the questions about heartburn during sleep, and of these, 3,806 subjects (24.9\%) reported having this symptom. In four increasingly comprehensive multivariate models, increased body mass index (BMI), carbonated soft drink consumption, snoring and daytime sleepiness (Epworth sleepiness scale score), insomnia, hypertension, asthma, and usage of benzodiazepines were strong predictors of heartburn during sleep. In contrast, college education decreased the risk of reporting heartburn during sleep.

CONCLUSIONS: Heartburn during sleep is very common in the general population. Reports of this type of symptom of GERD are strongly associated with increased BMI, carbonated soft drink consumption, snoring and daytime sleepiness, insomnia, hypertension, asthma, and usage of benzodiazepines. Overall, heartburn during sleep may be associated with sleep complaints and excessive daytime sleepiness.

}, keywords = {Aged, Body Mass Index, Carbonated Beverages, Cohort Studies, Educational Status, Female, Gastroesophageal Reflux, Heartburn, Humans, Male, Middle Aged, Multivariate Analysis, Prospective Studies, Sleep, Surveys and Questionnaires}, issn = {0012-3692}, doi = {10.1378/chest.127.5.1658}, author = {Fass, Ronnie and Quan, Stuart F and O{\textquoteright}Connor, George T and Ervin, Ann and Iber, Conrad} } @article {878, title = {10-year follow-up of subclinical cardiovascular disease and risk of coronary heart disease in the Cardiovascular Health Study.}, journal = {Arch Intern Med}, volume = {166}, year = {2006}, month = {2006 Jan 09}, pages = {71-8}, abstract = {

BACKGROUND: The incidence of coronary heart disease (CHD) is very high among individuals 65 years or older.

METHODS: We evaluated the relationships between measurements of subclinical disease at baseline (1989-1990) and at the third-year follow-up examination (1992-1993) and subsequent incidence of cardiovascular disease and total mortality as of June 2001. Approximately 61\% of the participants without clinical cardiovascular disease at baseline had subclinical disease based on our previously described criteria from the Cardiovascular Health Study.

RESULTS: The incidence of CHD was substantially increased for participants with subclinical disease compared with those who had no subclinical disease: 30.5 per 1000 person-years with and 16.3 per 1000 person-years without for white individuals, and 31.2 per 1000 person-years with and 12.5 per 1000 person-years without for black individuals. The risk persisted over the entire follow-up period. Incidence rates were higher for men than for women with or without subclinical disease, but there was little difference in rates for black individuals and white individuals.

CONCLUSIONS: In multivariable models, subclinical disease at baseline remained a significant predictor of CHD in both men and women; the hazard ratios (95\% confidence intervals) of their relative risks were 1.64 (1.30-2.06) and 1.49 (1.21-1.84), respectively. The presence of subclinical disease substantially increased the risk of subsequent CHD for participants with hypertension, diabetes mellitus, or elevated C-reactive protein. In summary, subclinical disease is very prevalent among older individuals, is independently associated with risk of CHD even over a 10-year follow-up period, and substantially increases the risk of CHD among participants with hypertension or diabetes mellitus.

}, keywords = {African Continental Ancestry Group, Aged, Blood Chemical Analysis, Cardiovascular Diseases, Comorbidity, Coronary Disease, Echocardiography, European Continental Ancestry Group, Female, Follow-Up Studies, Humans, Incidence, Male, Multivariate Analysis, Prevalence, Proportional Hazards Models, Regression Analysis, Risk Factors, Sex Distribution, United States}, issn = {0003-9926}, doi = {10.1001/archinte.166.1.71}, author = {Kuller, Lewis H and Arnold, Alice M and Psaty, Bruce M and Robbins, John A and O{\textquoteright}Leary, Daniel H and Tracy, Russell P and Burke, Gregory L and Manolio, Teri A and Chaves, Paolo H M} } @article {896, title = {Characteristics and baseline clinical predictors of future fatal versus nonfatal coronary heart disease events in older adults: the Cardiovascular Health Study.}, journal = {Circulation}, volume = {113}, year = {2006}, month = {2006 May 09}, pages = {2177-85}, abstract = {

BACKGROUND: Although >80\% of annual coronary heart disease (CHD) deaths occur in adults aged >65 years and the population is aging rapidly, CHD event fatality and its predictors in the elderly have not been well described.

METHODS AND RESULTS: The first myocardial infarction (MI) or CHD death among the 5888 adults aged > or =65 years occurring during enrollment in the Cardiovascular Health Study during 1989-2001 was identified and adjudicated. Characteristics measured at examinations before the event were examined for associations with case fatality (death before hospitalization or hospital discharge) and for differences in predictors by demographics or clinical history. During a median follow-up of 8.2 years, 985 CHD events occurred, of which 30\% were fatal. Case fatality decreased slightly over time, ranging from 28\% to 30\% per year in the early 1990s versus 23\% by 2000-2001; with adjustment for age at MI and gender, there was a 6\% lower odds of fatality with each successive year (odds ratio [OR], 0.94; 95\% confidence interval [CI], 0.90 to 0.98). Case fatality was similar by race and gender but higher with age and prior CHD (MI, angina, or revascularization). When considered alone, many subclinical disease measures, such as common carotid intima-media thickness, ankle-arm index, left ventricular mass by ECG, and a major ECG abnormality, and traditional risk factors, such as diabetes and hypertension, were associated with fatality. In multivariable analysis, independent predictors of fatality were prior congestive heart failure (OR, 3.20; 95\% CI, 2.32 to 4.41), prior CHD rather than only history of MI (OR, 2.51; 95\% CI, 1.84 to 3.43), diabetes (OR, 1.66; 95\% CI, 1.10 to 2.31), and age (OR, 1.21 per 5 years; 95\% CI, 1.07 to 1.37), adjusted for gender and each other. Prior congestive heart failure, regardless of left ventricular systolic function, age, gender, or prior CHD, conferred a > or =3-fold increased risk of fatality in almost all subgroups.

CONCLUSIONS: Among community-dwelling older adults, CHD case fatality remains substantial, with easily identifiable risk factors that may be different from those that predict incident disease. In the elderly in whom the risk/benefit of therapies may be influenced by multiple competing comorbidities and care needs, risk stratification possibly may be improved further by focusing more aggressive care on specific patients, especially those with a history of congestive heart failure or prior CHD.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Carotid Artery, Common, Cohort Studies, Comorbidity, Coronary Disease, Diabetes Mellitus, Electrocardiography, Female, Follow-Up Studies, Forecasting, Heart Failure, Heart Ventricles, Hospitalization, Humans, Hyperlipidemias, Hypertension, Male, Multivariate Analysis, Myocardial Infarction, Organ Size, Predictive Value of Tests, Risk Factors, Sampling Studies, Tunica Intima, Tunica Media, United States}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.105.610352}, author = {Pearte, Camille A and Furberg, Curt D and O{\textquoteright}Meara, Ellen S and Psaty, Bruce M and Kuller, Lewis and Powe, Neil R and Manolio, Teri} } @article {906, title = {Heart failure at the end of life: symptoms, function, and medical care in the Cardiovascular Health Study.}, journal = {Am J Geriatr Cardiol}, volume = {15}, year = {2006}, month = {2006 Jul-Aug}, pages = {217-25}, abstract = {

Among Cardiovascular Health Study participants who died from coronary heart disease, the authors compared those with incident and definite congestive heart failure (CHF) (n=60; 15\%) and those with prevalent or probable CHF (n=70; 17.5\%) to those with no history of CHF (n=198; 50\%) concerning health status at the end of life. Both CHF groups had worse health status before death than the group without CHF. Patients in the CHF groups were more likely to use benzodiazepines (20\% and 19\% vs. 6\%; p=0.001) and to rate their health as fair or poor (68\% and 63\% vs. 41\%; p<0.001). They were more likely to be hospitalized (33\% and 28\% vs. 11\%; p<0.001), to have activity restrictions (79\% and 62\% vs. 38\%; p<0.001), and to report a wide array of physical symptoms. These data suggest that patients who die from coronary heart disease in the presence of CHF have greater need for hospice or palliative care than those with no history of CHF.

}, keywords = {Activities of Daily Living, Aged, Comorbidity, Coronary Disease, Female, Health Status, Heart Failure, Hospice Care, Humans, Male, Palliative Care}, issn = {1076-7460}, doi = {10.1111/j.1076-7460.2006.05196.x}, author = {Sullivan, Mark D and O{\textquoteright}Meara, Ellen S} } @article {884, title = {Mortality and cardiovascular risk across the ankle-arm index spectrum: results from the Cardiovascular Health Study.}, journal = {Circulation}, volume = {113}, year = {2006}, month = {2006 Jan 24}, pages = {388-93}, abstract = {

BACKGROUND: A low ankle-arm index (AAI) is a strong predictor of mortality and cardiovascular events. A high AAI also appears to be associated with higher mortality risk in select populations. However, mortality and cardiovascular risk across the AAI spectrum have not been described in a more broadly defined population.

METHODS AND RESULTS: We examined total and cardiovascular mortality and cardiovascular events across the AAI spectrum among 5748 participants in the Cardiovascular Health Study (CHS). The mean age of the sample population was 73+/-6 years, and the sample included 3289 women (57\%) and 883 blacks (15\%). The median duration of follow-up was 11.1 (0.1 to 12) years for mortality and 9.6 (0.1 to 12.1) years for cardiovascular events. There were 2311 deaths (953 of which were cardiovascular) and 1491 cardiovascular events during follow-up. After adjustment for potential confounders, AAI measurements < or =0.60 (hazard ratio [HR] 1.82, 95\% CI 1.42 to 2.32), 0.61 to 0.7 (HR 2.08, 95\% CI 1.61 to 2.69), 0.71 to 0.8 (HR 1.80, 95\% CI 1.44 to 2.26), 0.81 to 0.9 (HR 1.73 95\% CI 1.43 to 2.11), 0.91 to 1.0 (HR 1.40, 95\% CI 1.20 to 1.63), and >1.40 (HR 1.57, 95\% CI 1.07 to 2.31) were associated with higher mortality risk from all causes compared with the referent group (AAI 1.11 to 1.20). The pattern was similar for cardiovascular mortality. For cardiovascular events, risk was higher at all AAI levels <1 but not for AAI levels >1.4 (HR 1.00, 95\% CI 0.57 to 1.74). The association of a high AAI with mortality was stronger in men than in women and in younger than in older cohort members.

CONCLUSIONS: In a cohort of community-dwelling elders, mortality risk was higher than the referent category of 1.11 to 1.2 among participants with AAI values above the traditional cutpoint of 0.9 (ie, 0.91 to 1.0 and >1.4), and the specific association of AAI with mortality varied by age and gender.

}, keywords = {Aged, Ankle, Arm, Blood Pressure, Body Mass Index, Cholesterol, LDL, Female, Follow-Up Studies, Humans, Longitudinal Studies, Male, Peripheral Vascular Diseases, Risk Factors, Smoking}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.105.570903}, author = {O{\textquoteright}Hare, Ann M and Katz, Ronit and Shlipak, Michael G and Cushman, Mary and Newman, Anne B} } @article {916, title = {Subclinical atherosclerosis and the risk of future venous thrombosis in the Cardiovascular Health Study.}, journal = {J Thromb Haemost}, volume = {4}, year = {2006}, month = {2006 Sep}, pages = {1903-8}, abstract = {

BACKGROUND: Recent reports have suggested an association of atherosclerosis with risk of venous thrombosis.

OBJECTIVE: To confirm whether subclinical atherosclerosis is a risk factor for venous thrombosis (VT) among men and women age 65 and older.

METHODS: Participants of the Cardiovascular Health Study (n = 4,108) without baseline clinical cardiovascular disease, anticoagulant use or previous VT were followed for a median of 11.7 years after non-invasive assessment of subclinical atherosclerosis using carotid ultrasound (intima-media thickness and presence of plaques), ankle-brachial blood pressure index and electrocardiogram. Each event was classified as idiopathic or secondary. We used Cox proportional hazards regression to estimate the relative risk of overall and idiopathic VT for individuals with and without baseline subclinical atherosclerosis.

RESULTS: There were 133 first time VT events. No subclinical atherosclerosis measures were associated with increased risk of overall or idiopathic VT. The adjusted relative risks of overall and idiopathic VT for presence of any type of subclinical disease were 0.60 (95\% confidence interval 0.39-0.91) and 0.32 (0.18-0.59), respectively. Most of this association was explained by an inverse association of high-risk carotid plaques (prevalent in 54\% of those at risk) with VT.

CONCLUSION: Non-invasively measured subclinical atherosclerosis was not associated with increased risk of overall or idiopathic VT in this observational study. Carotid plaques and arterial events during follow up were inversely associated, a finding that requires further study.

}, keywords = {Aged, Aged, 80 and over, Atherosclerosis, Carotid Artery Thrombosis, Cohort Studies, Female, Humans, Male, Proportional Hazards Models, Risk Factors, Ultrasonography, Venous Thrombosis}, issn = {1538-7933}, doi = {10.1111/j.1538-7836.2006.02096.x}, author = {van der Hagen, P B and Folsom, A R and Jenny, N S and Heckbert, S R and O{\textquoteright}Meara, E S and Reich, L M and Rosendaal, F R and Cushman, M} } @article {956, title = {ABO blood group, other risk factors and incidence of venous thromboembolism: the Longitudinal Investigation of Thromboembolism Etiology (LITE).}, journal = {J Thromb Haemost}, volume = {5}, year = {2007}, month = {2007 Jul}, pages = {1455-61}, abstract = {

BACKGROUND: Numerous case-control studies have reported higher prevalence of non-O blood type among venous thromboembolism (VTE) patients than controls, but potential mechanisms or effect modifiers for the association are not fully established.

PATIENTS/METHODS: Using a nested case-control design combining the Atherosclerosis Risk in Communities and the Cardiovascular Health Study cohort, ABO blood type and other VTE risk factors were measured on pre-event blood samples of 492 participants who subsequently developed VTE and 1008 participants who remained free of VTE.

RESULTS: A total of 64.4\% of cases and 52.5\% of controls had non-O blood type. Among controls, mean values of factor VIIIc (FVIIIc) and von Willebrand factor among the non-O blood type group were higher than among the O group. Compared with O blood type, the age-adjusted odds ratio (OR) of VTE for non-O blood type was 1.64 (95\% CI, 1.32-2.05) and was similar for the two parent studies and race groups. Further adjustment for sex, race, body mass index, diabetes mellitus and FVIIIc reduced the OR: 1.31 (95\% CI, 1.02-1.68). Factor V Leiden (FV Leiden) appeared to modify the non-O blood type association with VTE in a supra-additive fashion, with an age-, sex- and race-adjusted OR of 6.77 (95\% CI, 3.65-12.6) for having both risk factors.

CONCLUSIONS: Non-O blood type was independently associated with risk of VTE, and added to the risk associated with FV Leiden.

}, keywords = {ABO Blood-Group System, Aged, Case-Control Studies, Diabetes Complications, Factor V, Factor VIII, Female, Humans, Longitudinal Studies, Male, Middle Aged, Risk Factors, Thromboembolism, Venous Thrombosis, von Willebrand Factor}, issn = {1538-7933}, doi = {10.1111/j.1538-7836.2007.02579.x}, author = {Ohira, T and Cushman, M and Tsai, M Y and Zhang, Y and Heckbert, S R and Zakai, N A and Rosamond, W D and Folsom, A R} } @article {937, title = {Association of physical activity with sleep-disordered breathing.}, journal = {Sleep Breath}, volume = {11}, year = {2007}, month = {2007 Sep}, pages = {149-57}, abstract = {

This study was performed to determine whether there is a protective association between participation in vigorous or vigorous/moderately vigorous physical activity and the prevalence of sleep-disordered breathing (SDB). Polysomnographic and questionnaire data from the baseline examination of 4,275 participants in the Sleep Heart Health Study (SHHS) were analyzed in relation to information on amount of physical activity and other potentially relevant factors collected from five SHHS parent cohorts (Atherosclerosis Risk in Communities Study, Cardiovascular Health Study, Framingham Heart Study, Strong Heart Study, and Tucson Epidemiologic Study of Airways Obstructive Diseases). Logistic regression models were fitted to determine if amount and strenuousness of physical activity was associated with the presence of SDB. At least 3 h per week of vigorous physical activity reduced the odds of SDB, defined as a respiratory disturbance index (RDI) of at least 15 apneas/hypopneas per hour (Adjusted OR, 0.68; 95\%CI, 0.51-0.91). A qualitatively similar but slightly weaker association was observed when SDB was defined as a RDI > or = 10 per hour (Adjusted OR, 0.81; 95\%CI, 0.64-1.02). These findings remained after adjustment for sleepiness and restricting analyses to participants with good health. Three or more hours of moderately vigorous or vigorous physical activity also appeared to confer some protection against SDB, but these associations were weaker. Gender- and obesity-stratified analyses suggested that the protective association between physical activity and SDB occurred primarily in men and those who were obese. A program of regular vigorous physical activity of at least 3 h per week may be a useful adjunctive treatment modality for SDB, but this association needs confirmation with a prospective clinical trial.

}, keywords = {Adult, Cardiac Rehabilitation, Cardiovascular Diseases, Cohort Studies, Exercise, Female, Humans, Longitudinal Studies, Male, Middle Aged, Obesity, Polysomnography, Pulmonary Disease, Chronic Obstructive, Pulmonary Ventilation, Risk Factors, Sex Factors, Sleep Apnea Syndromes, Sleep Apnea, Obstructive, Sleep Stages, Weight Loss}, issn = {1520-9512}, doi = {10.1007/s11325-006-0095-5}, author = {Quan, Stuart F and O{\textquoteright}Connor, George T and Quan, Jason S and Redline, Susan and Resnick, Helaine E and Shahar, Eyal and Siscovick, David and Sherrill, Duane L} } @article {997, title = {Clinical factors, but not C-reactive protein, predict progression of calcific aortic-valve disease: the Cardiovascular Health Study.}, journal = {J Am Coll Cardiol}, volume = {50}, year = {2007}, month = {2007 Nov 13}, pages = {1992-8}, abstract = {

OBJECTIVES: The purpose of this study was to examine the relationship between C-reactive protein (CRP) and calcific aortic valve disease in a large, randomly selected, population-based cohort.

BACKGROUND: The pathobiology of calcific aortic stenosis involves an active inflammatory, atheromatous, osteogenic process. Elevations in CRP, a measure of systemic inflammation, have been associated with aortic stenosis.

METHODS: Two-dimensional and Doppler echocardiography and CRP measurement were performed at baseline in 5,621 participants in the Cardiovascular Health Study. Multivariable analysis was used to identify CRP as a predictor of baseline and incident aortic stenosis.

RESULTS: At a mean echocardiographic follow-up of 5 years, 9\% of subjects with aortic sclerosis progressed to some degree of aortic stenosis. Increasing age (odds ratio [OR] 1.13, 95\% confidence interval [CI] 1.09 to 1.16; p < 0.001) and male gender (OR 3.05, 95\% CI 1.76 to 5.27; p < 0.001) were related to risk of incident aortic stenosis, whereas increasing height (OR 0.96, 95\% CI 0.94 to 0.99; p = 0.013) and African-American ethnicity conveyed a lower risk (OR 0.49, 95\% CI 0.25 to 0.95; p = 0.035). C-reactive protein, treated as a continuous variable, was not associated with baseline aortic stenosis, progression to aortic sclerosis (adjusted OR 0.93, 95\% CI 0.85 to 1.02; p = 0.107), or progression to aortic stenosis (adjusted OR 0.85, 95\% CI 0.70 to 1.03; p = 0.092).

CONCLUSIONS: In this large population-based cohort, approximately 9\% of subjects with aortic sclerosis progressed to aortic stenosis over a 5-year follow-up period. There was no association between CRP levels and the presence of calcific aortic-valve disease or incident aortic stenosis. C-reactive protein appears to be a poor predictor of subclinical calcific aortic-valve disease.

}, keywords = {Aged, Aged, 80 and over, Aortic Valve, Aortic Valve Stenosis, C-Reactive Protein, Calcinosis, Cardiovascular Diseases, Cohort Studies, Disease Progression, Female, Follow-Up Studies, Heart Valve Diseases, Humans, Male, Risk Factors}, issn = {1558-3597}, doi = {10.1016/j.jacc.2007.07.064}, author = {Novaro, Gian M and Katz, Ronit and Aviles, Ronnier J and Gottdiener, John S and Cushman, Mary and Psaty, Bruce M and Otto, Catherine M and Griffin, Brian P} } @article {943, title = {Collaborative meta-analysis of individual participant data from observational studies of Lp-PLA2 and cardiovascular diseases.}, journal = {Eur J Cardiovasc Prev Rehabil}, volume = {14}, year = {2007}, month = {2007 Feb}, pages = {3-11}, abstract = {

BACKGROUND: A large number of observational epidemiological studies have reported generally positive associations between circulating mass and activity levels of lipoprotein-associated phospholipase A2 (Lp-PLA2) and the risk of cardiovascular diseases. Few studies have been large enough to provide reliable estimates in different circumstances, such as in different subgroups (e.g., by age group, sex, or smoking status) or at different Lp-PLA2 levels. Moreover, most published studies have related disease risk only to baseline values of Lp-PLA2 markers (which can lead to substantial underestimation of any risk relationships because of within-person variability over time) and have used different approaches to adjustment for possible confounding factors.

OBJECTIVES: By combination of data from individual participants from all relevant observational studies in a systematic {\textquoteright}meta-analysis{\textquoteright}, with correction for regression dilution (using available data on serial measurements of Lp-PLA2), the Lp-PLA2 Studies Collaboration will aim to characterize more precisely than has previously been possible the strength and shape of the age and sex-specific associations of plasma Lp-PLA2 with coronary heart disease (and, where data are sufficient, with other vascular diseases, such as ischaemic stroke). It will also help to determine to what extent such associations are independent of possible confounding factors and to explore potential sources of heterogeneity among studies, such as those related to assay methods and study design. It is anticipated that the present collaboration will serve as a framework to investigate related questions on Lp-PLA2 and cardiovascular outcomes.

METHODS: A central database is being established containing data on circulating Lp-PLA2 values, sex and other potential confounding factors, age at baseline Lp-PLA2 measurement, age at event or at last follow-up, major vascular morbidity and cause-specific mortality. Information about any repeat measurements of Lp-PLA2 and potential confounding factors has been sought to allow adjustment for possible confounding and correction for regression dilution. The analyses will involve age-specific regression models. Synthesis of the available observational studies of Lp-PLA2 will yield information on a total of about 15 000 cardiovascular disease endpoints.

}, keywords = {1-Alkyl-2-acetylglycerophosphocholine Esterase, Cardiovascular Diseases, Humans, Phospholipases A2}, issn = {1741-8267}, doi = {10.1097/01.hjr.0000239464.18509.f1}, author = {Ballantyne, C and Cushman, M and Psaty, B and Furberg, C and Khaw, K T and Sandhu, M and Oldgren, J and Rossi, G P and Maiolino, G and Cesari, M and Lenzini, L and James, S K and Rimm, E and Collins, R and Anderson, J and Koenig, W and Brenner, H and Rothenbacher, D and Berglund, G and Persson, M and Berger, P and Brilakis, E and McConnell, J P and Koenig, W and Sacco, R and Elkind, M and Talmud, P and Rimm, E and Cannon, C P and Packard, C and Barrett-Connor, E and Hofman, A and Kardys, I and Witteman, J C M and Criqui, M and Corsetti, J P and Rainwater, D L and Moss, A J and Robins, S and Bloomfield, H and Collins, D and Packard, C and Wassertheil-Smoller, S and Ridker, P and Ballantyne, C and Cannon, C P and Cushman, M and Danesh, J and Gu, D and Hofman, A and Nelson, J J and Thompson, S and Zalewski, A and Zariffa, N and Di Angelantonio, E and Kaptoge, S and Thompson, A and Thompson, S and Walker, M and Watson, S and Wood, A} } @article {984, title = {The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases.}, journal = {Eur J Epidemiol}, volume = {22}, year = {2007}, month = {2007}, pages = {839-69}, abstract = {

Many long-term prospective studies have reported on associations of cardiovascular diseases with circulating lipid markers and/or inflammatory markers. Studies have not, however, generally been designed to provide reliable estimates under different circumstances and to correct for within-person variability. The Emerging Risk Factors Collaboration has established a central database on over 1.1 million participants from 104 prospective population-based studies, in which subsets have information on lipid and inflammatory markers, other characteristics, as well as major cardiovascular morbidity and cause-specific mortality. Information on repeat measurements on relevant characteristics has been collected in approximately 340,000 participants to enable estimation of and correction for within-person variability. Re-analysis of individual data will yield up to approximately 69,000 incident fatal or nonfatal first ever major cardiovascular outcomes recorded during about 11.7 million person years at risk. The primary analyses will involve age-specific regression models in people without known baseline cardiovascular disease in relation to fatal or nonfatal first ever coronary heart disease outcomes. This initiative will characterize more precisely and in greater detail than has previously been possible the shape and strength of the age- and sex-specific associations of several lipid and inflammatory markers with incident coronary heart disease outcomes (and, secondarily, with other incident cardiovascular outcomes) under a wide range of circumstances. It will, therefore, help to determine to what extent such associations are independent from possible confounding factors and to what extent such markers (separately and in combination) provide incremental predictive value.

}, keywords = {Albumins, Biomarkers, Cardiovascular Diseases, Databases, Factual, Far East, Humans, Inflammation, Leukocyte Count, Lipids, Lipoproteins, HDL, Prospective Studies, Risk Factors, Triglycerides}, issn = {0393-2990}, doi = {10.1007/s10654-007-9165-7}, author = {Danesh, J and Erqou, S and Walker, M and Thompson, S G and Tipping, R and Ford, C and Pressel, S and Walldius, G and Jungner, I and Folsom, A R and Chambless, L E and Knuiman, M and Whincup, P H and Wannamethee, S G and Morris, R W and Willeit, J and Kiechl, S and Santer, P and Mayr, A and Wald, N and Ebrahim, S and Lawlor, D A and Yarnell, J W G and Gallacher, J and Casiglia, E and Tikhonoff, V and Nietert, P J and Sutherland, S E and Bachman, D L and Keil, J E and Cushman, M and Psaty, B M and Tracy, R P and Tybjaerg-Hansen, A and Nordestgaard, B G and Frikke-Schmidt, R and Giampaoli, S and Palmieri, L and Panico, S and Vanuzzo, D and Pilotto, L and Simons, L and McCallum, J and Friedlander, Y and Fowkes, F G R and Lee, A J and Smith, F B and Taylor, J and Guralnik, J and Phillips, C and Wallace, R and Blazer, D and Khaw, K T and Jansson, J H and Donfrancesco, C and Salomaa, V and Harald, K and Jousilahti, P and Vartiainen, E and Woodward, M and D{\textquoteright}Agostino, R B and Wolf, P A and Vasan, R S and Pencina, M J and Bladbjerg, E M and Jorgensen, T and Moller, L and Jespersen, J and Dankner, R and Chetrit, A and Lubin, F and Rosengren, A and Wilhelmsen, L and Lappas, G and Eriksson, H and Bjorkelund, C and Cremer, P and Nagel, D and Tilvis, R and Strandberg, T and Rodriguez, B and Bouter, L M and Heine, R J and Dekker, J M and Nijpels, G and Stehouwer, C D A and Rimm, E and Pai, J and Sato, S and Iso, H and Kitamura, A and Noda, H and Goldbourt, U and Salomaa, V and Salonen, J T and Nyyss{\"o}nen, K and Tuomainen, T-P and Deeg, D and Poppelaars, J L and Meade, T and Cooper, J and Hedblad, B and Berglund, G and Engstrom, G and D{\"o}ring, A and Koenig, W and Meisinger, C and Mraz, W and Kuller, L and Selmer, R and Tverdal, A and Nystad, W and Gillum, R and Mussolino, M and Hankinson, S and Manson, J and De Stavola, B and Knottenbelt, C and Cooper, J A and Bauer, K A and Rosenberg, R D and Sato, S and Naito, Y and Holme, I and Nakagawa, H and Miura, H and Ducimetiere, P and Jouven, X and Crespo, C and Garcia-Palmieri, M and Amouyel, P and Arveiler, D and Evans, A and Ferrieres, J and Schulte, H and Assmann, G and Shepherd, J and Packard, C and Sattar, N and Cantin, B and Lamarche, B and Despr{\'e}s, J-P and Dagenais, G R and Barrett-Connor, E and Wingard, D and Bettencourt, R and Gudnason, V and Aspelund, T and Sigurdsson, G and Thorsson, B and Trevisan, M and Witteman, J and Kardys, I and Breteler, M and Hofman, A and Tunstall-Pedoe, H and Tavendale, R and Lowe, G D O and Ben-Shlomo, Y and Howard, B V and Zhang, Y and Best, L and Umans, J and Onat, A and Meade, T W and Njolstad, I and Mathiesen, E and Lochen, M L and Wilsgaard, T and Gaziano, J M and Stampfer, M and Ridker, P and Ulmer, H and Diem, G and Concin, H and Rodeghiero, F and Tosetto, A and Brunner, E and Shipley, M and Buring, J and Cobbe, S M and Ford, I and Robertson, M and He, Y and Ibanez, A M and Feskens, E J M and Kromhout, D and Collins, R and Di Angelantonio, E and Kaptoge, S and Lewington, S and Orfei, L and Pennells, L and Perry, P and Ray, K and Sarwar, N and Scherman, M and Thompson, A and Watson, S and Wensley, F and White, I R and Wood, A M} } @article {973, title = {Factor VII coagulant activity, factor VII -670A/C and -402G/A polymorphisms, and risk of venous thromboembolism.}, journal = {J Thromb Haemost}, volume = {5}, year = {2007}, month = {2007 Aug}, pages = {1674-8}, abstract = {

BACKGROUND: Most epidemiological studies have found no association between levels of factor (F) VII:C and venous thromboembolism (VTE). Our Longitudinal Investigation of Thromboembolism Etiology (LITE) had, in contrast, reported an independent, increased risk of VTE after 7.8 years of follow-up for those with high baseline levels of FVII:C.

OBJECTIVE: To confirm whether FVII:C is associated with VTE after 12.6 years of follow-up and to examine whether two FVII gene polymorphisms (-670A/C and -402G/A) are related to VTE occurrence.

METHODS: In 19 091 LITE participants with no prior history of VTE or cancer, we measured FVII:C at baseline and identified 404 new VTEs. We also performed a nested case-control study to relate the polymorphisms to VTE (n = 490 without exclusion for cancer or prior VTE).

RESULTS: FVII:C was not independently associated with VTE occurrence after extended follow-up. Multivariable-adjusted rate ratios for VTE were 1.00, 1.00, 0.94, 1.00, and 1.38 (P-trend = 0.48) for the <25th, 25th-49th, 50th-74th, 75th-94th, and >or=95th percentiles of FVII:C, respectively. The -670C and -402A alleles were in high linkage disequilibrium, and both were associated with greater FVII:C levels. However, neither polymorphism was associated with VTE occurrence.

CONCLUSION: After extended follow-up, LITE offers little evidence that a greater FVII level is a risk factor for VTE.

}, keywords = {Alleles, Antigens, Coagulants, Factor VII, Female, Genotype, Humans, Male, Polymorphism, Genetic, Prospective Studies, Risk Factors, Thromboembolism, Venous Thrombosis}, issn = {1538-7933}, doi = {10.1111/j.1538-7836.2007.02620.x}, author = {Folsom, A R and Cushman, M and Heckbert, S R and Ohira, T and Rasmussen-Torvik, L and Tsai, M Y} } @article {989, title = {Genome-wide association of sleep and circadian phenotypes.}, journal = {BMC Med Genet}, volume = {8 Suppl 1}, year = {2007}, month = {2007 Sep 19}, pages = {S9}, abstract = {

BACKGROUND: Numerous studies suggest genetic influences on sleepiness and circadian rhythms. The Sleep Heart Health Study collected questionnaire data on sleep habits and sleepiness from 2848 Framingham Heart Study Offspring Cohort participants. More than 700 participants were genotyped using the Affymetrix 100K SNP GeneChip, providing a unique opportunity to assess genetic linkage and association of these traits.

METHODS: Sleepiness (defined as the Epworth Sleepiness Scale score), usual bedtime and usual sleep duration were assessed by self-completion questionnaire. Standardized residual measures adjusted for age, sex and BMI were analyzed. Multipoint variance components linkage analysis was performed. Association of SNPs to sleep phenotypes was analyzed with both population-based and family-based association tests, with analysis limited to 70,987 autosomal SNPs with minor allele frequency > or =10\%, call rate > or =80\%, and no significant deviation from Hardy-Weinberg equilibrium (p > or = 0.001).

RESULTS: Heritability of sleepiness was 0.29, bedtime 0.22, and sleep duration 0.17. Both genotype and sleep phenotype data were available for 749 subjects. Linkage analysis revealed five linkage peaks of LOD >2: four to usual bedtime, one to sleep duration. These peaks include several candidate sleep-related genes, including CSNK2A2, encoding a known component of the circadian molecular clock, and PROK2, encoding a putative transmitter of the behavioral circadian rhythm from the suprachiasmatic nucleus. Association tests identified an association of usual bedtime with a non-synonymous coding SNP in NPSR1 that has been shown to encode a gain of function mutation of the neuropeptide S receptor, whose endogenous ligand is a potent promoter of wakefulness. Each copy of the minor allele of this SNP was associated with a 15 minute later mean bedtime. The lowest p value was for association of sleepiness with a SNP located in an intron of PDE4D, which encodes a cAMP-specific phosphodiesterase widely expressed in human brain. Full association results are posted at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007 webcite.

CONCLUSION: This analysis confirms prior reports of significant heritability of sleepiness, usual bedtime, and usual sleep duration. Several genetic loci with suggestive linkage to these traits are identified, including linkage peaks containing circadian clock-related genes. Association tests identify NPSR1 and PDE4D as possible mediators of bedtime and sleepiness.

}, keywords = {Adult, Alleles, Cardiovascular Diseases, Circadian Rhythm, Cohort Studies, Female, Gene Frequency, Genetic Linkage, Genome, Human, Genotype, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Sleep, Surveys and Questionnaires}, issn = {1471-2350}, doi = {10.1186/1471-2350-8-S1-S9}, author = {Gottlieb, Daniel J and O{\textquoteright}Connor, George T and Wilk, Jemma B} } @article {907, title = {White matter grade and ventricular volume on brain MRI as markers of longevity in the cardiovascular health study.}, journal = {Neurobiol Aging}, volume = {28}, year = {2007}, month = {2007 Sep}, pages = {1307-15}, abstract = {

High white matter grade (WMG) on magnetic resonance imaging (MRI) is a risk factor for dementia, stroke and disability. Higher ventricular size is a marker of brain "atrophy." In the Cardiovascular Health Study (CHS) (n=3245) mean age 75 years, 50\% black and 40\% men, we evaluated WM and ventricular grade (VG), total, cardiovascular and noncardiovascular mortality and longevity before and after adjusting for numerous determinants of longevity over an approximate 10-12 years of follow-up. A low WMG and VG was a marker for low total, cardiovascular and noncardiovascular mortality and for increased longevity over 10+ years of follow-up. We estimated that a 75-year-old with WMG below median would have about a 5-6 years greater longevity and for VG about 3 years, than above the median even after adjustment for numerous risk factors. Low WMG and VG on MRI is a powerful determinant of long-term survival among older individuals.

}, keywords = {African Continental Ancestry Group, Aged, Aged, 80 and over, Biomarkers, Brain, Cardiovascular Diseases, Cerebral Ventricles, European Continental Ancestry Group, Female, Geriatric Assessment, Health Status, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Retrospective Studies, Risk Factors, Sex Factors}, issn = {1558-1497}, doi = {10.1016/j.neurobiolaging.2006.06.010}, author = {Kuller, Lewis H and Arnold, Alice M and Longstreth, W T and Manolio, Teri A and O{\textquoteright}Leary, Daniel H and Burke, Gregory L and Fried, Linda P and Newman, Anne B} } @article {1039, title = {Ankle brachial index combined with Framingham Risk Score to predict cardiovascular events and mortality: a meta-analysis.}, journal = {JAMA}, volume = {300}, year = {2008}, month = {2008 Jul 09}, pages = {197-208}, abstract = {

CONTEXT: Prediction models to identify healthy individuals at high risk of cardiovascular disease have limited accuracy. A low ankle brachial index (ABI) is an indicator of atherosclerosis and has the potential to improve prediction.

OBJECTIVE: To determine if the ABI provides information on the risk of cardiovascular events and mortality independently of the Framingham risk score (FRS) and can improve risk prediction.

DATA SOURCES: Relevant studies were identified. A search of MEDLINE (1950 to February 2008) and EMBASE (1980 to February 2008) was conducted using common text words for the term ankle brachial index combined with text words and Medical Subject Headings to capture prospective cohort designs. Review of reference lists and conference proceedings, and correspondence with experts was conducted to identify additional published and unpublished studies.

STUDY SELECTION: Studies were included if participants were derived from a general population, ABI was measured at baseline, and individuals were followed up to detect total and cardiovascular mortality.

DATA EXTRACTION: Prespecified data on individuals in each selected study were extracted into a combined data set and an individual participant data meta-analysis was conducted on individuals who had no previous history of coronary heart disease.

RESULTS: Sixteen population cohort studies fulfilling the inclusion criteria were included. During 480,325 person-years of follow-up of 24,955 men and 23,339 women, the risk of death by ABI had a reverse J-shaped distribution with a normal (low risk) ABI of 1.11 to 1.40. The 10-year cardiovascular mortality in men with a low ABI (< or = 0.90) was 18.7\% (95\% confidence interval [CI], 13.3\%-24.1\%) and with normal ABI (1.11-1.40) was 4.4\% (95\% CI, 3.2\%-5.7\%) (hazard ratio [HR], 4.2; 95\% CI, 3.3-5.4). Corresponding mortalities in women were 12.6\% (95\% CI, 6.2\%-19.0\%) and 4.1\% (95\% CI, 2.2\%-6.1\%) (HR, 3.5; 95\% CI, 2.4-5.1). The HRs remained elevated after adjusting for FRS (2.9 [95\% CI, 2.3-3.7] for men vs 3.0 [95\% CI, 2.0-4.4] for women). A low ABI (< or = 0.90) was associated with approximately twice the 10-year total mortality, cardiovascular mortality, and major coronary event rate compared with the overall rate in each FRS category. Inclusion of the ABI in cardiovascular risk stratification using the FRS would result in reclassification of the risk category and modification of treatment recommendations in approximately 19\% of men and 36\% of women.

CONCLUSION: Measurement of the ABI may improve the accuracy of cardiovascular risk prediction beyond the FRS.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Ankle, Atherosclerosis, Blood Pressure, Brachial Artery, Cardiovascular Diseases, Cohort Studies, Confidence Intervals, Female, Global Health, Humans, Male, Middle Aged, Odds Ratio, Predictive Value of Tests, Risk Assessment, Risk Factors, Severity of Illness Index}, issn = {1538-3598}, doi = {10.1001/jama.300.2.197}, author = {Fowkes, F G R and Murray, G D and Butcher, I and Heald, C L and Lee, R J and Chambless, L E and Folsom, A R and Hirsch, A T and Dramaix, M and deBacker, G and Wautrecht, J-C and Kornitzer, M and Newman, A B and Cushman, M and Sutton-Tyrrell, K and Fowkes, F G R and Lee, A J and Price, J F and D{\textquoteright}Agostino, R B and Murabito, J M and Norman, P E and Jamrozik, K and Curb, J D and Masaki, K H and Rodr{\'\i}guez, B L and Dekker, J M and Bouter, L M and Heine, R J and Nijpels, G and Stehouwer, C D A and Ferrucci, L and McDermott, M M and Stoffers, H E and Hooi, J D and Knottnerus, J A and Ogren, M and Hedblad, B and Witteman, J C and Breteler, M M B and Hunink, M G M and Hofman, A and Criqui, M H and Langer, R D and Fronek, A and Hiatt, W R and Hamman, R and Resnick, H E and Guralnik, J and McDermott, M M} } @article {995, title = {Association of gene variants with incident myocardial infarction in the Cardiovascular Health Study.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {28}, year = {2008}, month = {2008 Jan}, pages = {173-9}, abstract = {

OBJECTIVE: We asked whether single nucleotide polymorphisms (SNPs) that had been nominally associated with cardiovascular disease in antecedent studies were also associated with cardiovascular disease in a population-based prospective study of 4522 individuals aged 65 or older.

METHODS AND RESULTS: Based on antecedent studies, we prespecified a risk allele and an inheritance model for each of 74 SNPs. We then tested the association of these SNPs with myocardial infarction (MI) in the Cardiovascular Health Study (CHS). The prespecified risk alleles of 8 SNPs were nominally associated (1-sided P<0.05) with increased risk of MI in White CHS participants. The false discovery rate for these 8 was 0.43, suggesting that about 4 of these 8 are likely to be true positives. The 4 of these 8 SNPs that had the strongest evidence for association with cardiovascular disease before testing in CHS (association in 3 antecedent studies) were in KIF6 (CHS HR=1.29; 90\%CI 1.1 to 1.52), VAMP8 (HR=1.2; 90\%CI 1.02 to 1.41), TAS2R50 (HR=1.13; 90\%CI 1 to 1.27), and LPA (HR=1.62; 90\%CI 1.09 to 2.42).

CONCLUSIONS: Although most of the SNPs investigated were not associated with MI in CHS, evidence from this investigation combined with previous studies suggests that 4 of these SNPs are likely associated with MI.

}, keywords = {African Americans, Aged, Aged, 80 and over, Coronary Disease, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Humans, Longitudinal Studies, Male, Myocardial Infarction, National Heart, Lung, and Blood Institute (U.S.), Polymorphism, Single Nucleotide, Proportional Hazards Models, United States}, issn = {1524-4636}, doi = {10.1161/ATVBAHA.107.153981}, author = {Shiffman, Dov and O{\textquoteright}Meara, Ellen S and Bare, Lance A and Rowland, Charles M and Louie, Judy Z and Arellano, Andre R and Lumley, Thomas and Rice, Kenneth and Iakoubova, Olga and Luke, May M and Young, Bradford A and Malloy, Mary J and Kane, John P and Ellis, Stephen G and Tracy, Russell P and Devlin, James J and Psaty, Bruce M} } @article {1027, title = {Biomarkers of Inflammation and MRI-Defined Small Vessel Disease of the Brain: The Cardiovascular Health Study.}, journal = {Stroke}, volume = {39}, year = {2008}, month = {2008 Jul}, pages = {1952-9}, abstract = {

BACKGROUND AND PURPOSE: To clarify the role of inflammation in the pathogenesis of small vessel disease of the brain, we investigated the association between common variation in the C-reactive protein (CRP) and interleukin (IL)-6 genes, plasma CRP and IL6 levels, and presence of MRI-defined white matter lesions (WML) and brain infarcts (BI) in elderly participants of the Cardiovascular Health Study.

METHODS: Tag single nucleotide polymorphisms (SNPs) in the CRP and IL6 genes were selected from the SeattleSNPs database. In cross-sectional analyses, logistic regression models adjusting for known cardiovascular disease risk factors were constructed to assess the associations of plasma CRP and IL6 levels and common CRP and IL6 gene haplotypes with presence of WML or BI in Blacks (n=532) and Whites (n=2905).

RESULTS: Plasma IL6 and CRP levels were associated with presence of WML and BI in both races. In Whites, common haplotypes of the IL6 gene were significantly associated with WML and BI. The common haplotype tagged by the -174G/C promoter polymorphism was associated with an increased risk of WML (OR=1.14; 95\% CI: [1.02; 1.28]). The common haplotype tagged by the -572G/C promoter polymorphism was associated with an increased risk of BI (OR=1.57; 95\% CI: [1.15; 2.14]). Significant associations were lacking for WML or BI with IL6 gene variation in Blacks, or with CRP gene variation in either race.

CONCLUSIONS: This study provides evidence of a genetic basis underlying the relationship between plasma biomarkers of inflammation and small vessel disease of the brain. Further studies to elucidate the specific role of IL6 in disease pathogenesis are warranted.

}, keywords = {African Continental Ancestry Group, Aged, Biomarkers, Brain Infarction, C-Reactive Protein, Cohort Studies, European Continental Ancestry Group, Female, Haplotypes, Humans, Inflammation, Interleukin-6, Magnetic Resonance Imaging, Male, Polymorphism, Single Nucleotide}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.107.508135}, author = {Fornage, Myriam and Chiang, Y Aron and O{\textquoteright}Meara, Ellen S and Psaty, Bruce M and Reiner, Alexander P and Siscovick, David S and Tracy, Russell P and Longstreth, W T} } @article {983, title = {Cardiovascular and mortality risk prediction and stratification using urinary albumin excretion in older adults ages 68-102: the Cardiovascular Health Study.}, journal = {Atherosclerosis}, volume = {197}, year = {2008}, month = {2008 Apr}, pages = {806-13}, abstract = {

BACKGROUND: Elevated urinary albumin excretion (UAE) is associated with the risk of cardiovascular disease (CVD) and all-cause mortality. We tested the hypothesis that elevated UAE improves cardiovascular risk stratification in an elderly cohort aged 68-102 years.

METHODS: We evaluated UAE in 3112 participants of the Cardiovascular Health Study who attended the 1996-1997 examination and had median follow up of 5.4 years. Elevated UAE was defined as urinary albumin to creatinine ratio > or =30 microg/mg. Microalbuminuria and macroalbuminuria were defined as urinary albumin to creatinine ratio 30-300 microg/mg and >300 microg/mg, respectively. Outcomes included CVD (myocardial infarction, stroke, cardiovascular death) and all-cause mortality. Cox proportional hazards models were used to assess the risk of outcomes associated with elevated UAE.

RESULTS: The prevalence of elevated UAE was 14.3\%, 17.1\% and 26.9\% in those aged 68-74, 75-84 and 85-102 years, respectively. CVD incidence and all-cause mortality were doubled (7.2\% and 8.1\% per year) in those with microalbuminuria and tripled (11.1\% and 12.3\% per year) in those with macroalbuminuria compared to those with normal UAE (3.3\% and 3.8\% per year). The increased CVD and mortality risks were observed in all age groups after adjustment for conventional risk factors. The adjusted population attributable risk percent of CVD and all-cause mortality for elevated UAE was 11\% and 12\%, respectively. When participants were cross-classified by UAE and Framingham Risk Score categories, the 5-year cumulative incidence of coronary heart disease among participants with elevated UAE and a 5-year predicted risk of 5-10\% was 20\%, substantially higher than 6.3\% in those with UAE <30m microg/mg.

CONCLUSION: Elevated UAE was associated with an increased risk of CVD and all-cause mortality in all age groups from 68 to 102 years. Combining elevated UAE with the Framingham risk scores may improve risk stratification for CVD in the elderly.

}, keywords = {Aged, Aged, 80 and over, Albuminuria, Biomarkers, Cohort Studies, Coronary Disease, Cross-Sectional Studies, Female, Health Surveys, Humans, Male, Predictive Value of Tests, Risk}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2007.07.029}, author = {Cao, Jie J and Biggs, Mary L and Barzilay, Joshua and Konen, Joseph and Psaty, Bruce M and Kuller, Lewis and Bleyer, Anthony J and Olson, Jean and Wexler, Jason and Summerson, John and Cushman, Mary} } @article {1006, title = {Coronary artery calcium, carotid artery wall thickness, and cardiovascular disease outcomes in adults 70 to 99 years old.}, journal = {Am J Cardiol}, volume = {101}, year = {2008}, month = {2008 Jan 15}, pages = {186-92}, abstract = {

Few population studies have evaluated the associations of both coronary artery calcium (CAC) and carotid ultrasound with cardiovascular events, especially in adults >70 years of age. At the Pittsburgh Field Center of the Cardiovascular Health Study, 559 men and women, mean age 80.2 (SD 4.1) years had CAC score assessed by electron beam computerized tomographic scan and common and internal carotid artery intimal medial wall thickness (CCA-IMT and ICA-IMT) by carotid ultrasound between 1998 and 2000 and were followed for total and incident cardiovascular disease events through June 2003. Crude rates and hazard ratios for total and incident events were examined with and without adjustment for cardiovascular risk factors. After 5 years, there were 127 cardiovascular disease events, 48 myocardial infarctions or cardiovascular disease deaths, and 28 strokes or stroke deaths. Total and incident cardiovascular disease event rates were higher in each quartile of CAC and CCA-IMT, but not of ICA-IMT. For total cardiovascular disease, the adjusted hazard ratio for the fourth versus first quartile of CAC was 2.1 (95\% confidence interval 1.2 to 3.9) and for CCA-IMT was 2.3 (95\% confidence interval 1.3 to 4.1). The CCA-IMT was more strongly related to stroke risk than was CAC, although CAC was also an important predictor of stroke. No significant gender differences were found, although relative risks appeared to be stronger in women, especially for stroke. In conclusion, in adults >70 years of age, CAC and CCA-IMT had similar hazard ratios for total cardiovascular disease and coronary heart disease. The CCA-IMT was more strongly related to stroke than CAC, but CAC was also a predictor of stroke.

}, keywords = {Aged, Aged, 80 and over, Carotid Artery Diseases, Carotid Artery, Common, Carotid Artery, Internal, Coronary Artery Disease, Coronary Vessels, Female, Humans, Male, ROC Curve, Severity of Illness Index, Survival Analysis, Ultrasonography, United States}, issn = {0002-9149}, doi = {10.1016/j.amjcard.2007.07.075}, author = {Newman, Anne B and Naydeck, Barbara L and Ives, Diane G and Boudreau, Robert M and Sutton-Tyrrell, Kim and O{\textquoteright}Leary, Daniel H and Kuller, Lewis H} } @article {1055, title = {Insulin-like growth factors, their binding proteins, and prostate cancer risk: analysis of individual patient data from 12 prospective studies.}, journal = {Ann Intern Med}, volume = {149}, year = {2008}, month = {2008 Oct 07}, pages = {461-71, W83-8}, abstract = {

BACKGROUND: Some, but not all, published results have shown an association between circulating blood levels of some insulin-like growth factors (IGFs) and their binding proteins (IGFBPs) and the subsequent risk for prostate cancer.

PURPOSE: To assess the association between levels of IGFs and IGFBPs and the subsequent risk for prostate cancer.

DATA SOURCES: Studies identified in PubMed, Web of Science, and CancerLit.

STUDY SELECTION: The principal investigators of all studies that published data on circulating concentrations of sex steroids, IGFs, or IGFBPs and prostate cancer risk using prospectively collected blood samples were invited to collaborate.

DATA EXTRACTION: Investigators provided individual participant data on circulating concentrations of IGF-I, IGF-II, IGFBP-II, and IGFBP-III and participant characteristics to a central data set in Oxford, United Kingdom.

DATA SYNTHESIS: The study included data on 3700 men with prostate cancer and 5200 control participants. On average, case patients were 61.5 years of age at blood collection and received a diagnosis of prostate cancer 5 years after blood collection. The greater the serum IGF-I concentration, the greater the subsequent risk for prostate cancer (odds ratio [OR] in the highest vs. lowest quintile, 1.38 [95\% CI, 1.19 to 1.60]; P < 0.001 for trend). Neither IGF-II nor IGFBP-II concentrations were associated with prostate cancer risk, but statistical power was limited. Insulin-like growth factor I and IGFBP-III were correlated (r = 0.58), and although IGFBP-III concentration seemed to be associated with prostate cancer risk, this was secondary to its association with IGF-I levels. Insulin-like growth factor I concentrations seemed to be more positively associated with low-grade than high-grade disease; otherwise, the association between IGFs and IGFBPs and prostate cancer risk had no statistically significant heterogeneity related to stage or grade of disease, time between blood collection and diagnosis, age and year of diagnosis, prostate-specific antigen level at recruitment, body mass index, smoking, or alcohol intake.

LIMITATIONS: Insulin-like growth factor concentrations were measured in only 1 sample for each participant, and the laboratory methods to measure IGFs differed in each study. Not all patients had disease stage or grade information, and the diagnosis of prostate cancer may differ among the studies.

CONCLUSION: High circulating IGF-I concentrations are associated with a moderately increased risk for prostate cancer.

}, keywords = {Aged, Humans, Insulin-Like Growth Factor Binding Protein 2, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor Binding Proteins, Insulin-Like Growth Factor I, Insulin-Like Growth Factor II, Male, Middle Aged, Prospective Studies, Prostatic Neoplasms, Risk Factors, Somatomedins}, issn = {1539-3704}, doi = {10.7326/0003-4819-149-7-200810070-00006}, author = {Roddam, Andrew W and Allen, Naomi E and Appleby, Paul and Key, Timothy J and Ferrucci, Luigi and Carter, H Ballentine and Metter, E Jeffrey and Chen, Chu and Weiss, Noel S and Fitzpatrick, Annette and Hsing, Ann W and Lacey, James V and Helzlsouer, Kathy and Rinaldi, Sabina and Riboli, Elio and Kaaks, Rudolf and Janssen, Joop A M J L and Wildhagen, Mark F and Schr{\"o}der, Fritz H and Platz, Elizabeth A and Pollak, Michael and Giovannucci, Edward and Schaefer, Catherine and Quesenberry, Charles P and Vogelman, Joseph H and Severi, Gianluca and English, Dallas R and Giles, Graham G and Stattin, P{\"a}r and Hallmans, G{\"o}ran and Johansson, Mattias and Chan, June M and Gann, Peter and Oliver, Steven E and Holly, Jeff M and Donovan, Jenny and Meyer, Fran{\c c}ois and Bairati, Isabelle and Galan, Pilar} } @article {1023, title = {Lipoprotein-associated phospholipase A2 and risk of venous thrombosis in older adults.}, journal = {Am J Hematol}, volume = {83}, year = {2008}, month = {2008 Jul}, pages = {524-7}, abstract = {

Lipoprotein-associated phospholipase A2 (Lp-PLA2) is an enzyme involved in inflammation and platelet function. Inherited deficiency and elevated levels are associated with atherosclerosis. Given potential common etiologies of atherosclerosis and venous thrombosis (VT), we hypothesized that low and high Lp-PLA2 would be associated with VT risk. Lp-PLA(2) mass and activity were measured in baseline samples of Cardiovascular Health Study participants (5,888 men and women age > or =65), excluding 354 reporting pre-baseline VT. The study endpoint was VT unrelated to cancer after 11.6 years follow-up. Hazard ratios were estimated using Cox proportional hazard models, adjusting for age, race, sex, and body-mass index. With 129 cases of VT, there was no association of Lp-PLA2 activity with risk. Adjusted hazard ratios were 1.19 (CI 0.62, 2.29) and 0.87 (CI 0.43, 1.76) for the lowest and highest decile, respectively, compared to the 10-25th percentile. Corresponding hazard ratios for Lp-PLA2 mass were 1.63 (CI 0.79, 3.34) and 1.33 (CI 0.61, 2.87). Results were robust to several definitions of low or high Lp-PLA2. While the association of Lp-PLA(2) levels with arterial disease events implies a role for this enzyme in atherogenesis, our findings suggest that it is not prothrombotic.

}, keywords = {1-Alkyl-2-acetylglycerophosphocholine Esterase, Aged, Female, Humans, Male, Risk Factors, Venous Thrombosis}, issn = {1096-8652}, doi = {10.1002/ajh.21182}, author = {Olson, Nels and O{\textquoteright}Meara, Ellen S and Jenny, Nancy S and Folsom, Aaron R and Bovill, Edwin G and Furberg, Curt D and Heckbert, Susan R and Psaty, Bruce M and Cushman, Mary} } @article {1000, title = {Weight, mortality, years of healthy life, and active life expectancy in older adults.}, journal = {J Am Geriatr Soc}, volume = {56}, year = {2008}, month = {2008 Jan}, pages = {76-83}, abstract = {

OBJECTIVES: To determine whether weight categories predict subsequent mortality and morbidity in older adults.

DESIGN: Multistate life tables, using data from the Cardiovascular Health Study, a longitudinal population-based cohort of older adults.

SETTING: Data were provided by community-dwelling seniors in four U.S. counties: Forsyth County, North Carolina; Sacramento County, California; Washington County, Maryland; and Allegheny County, Pennsylvania.

PARTICIPANTS: Five thousand eight hundred eighty-eight adults aged 65 and older at baseline.

MEASUREMENTS: The age- and sex-specific probabilities of transition from one health state to another and from one weight category to another were estimated. From these probabilities, future life expectancy, years of healthy life, active life expectancy, and the number of years spent in each weight and health category after age 65 were estimated.

RESULTS: Women who are healthy and of normal weight at age 65 have a life expectancy of 22.1 years. Of that, they spend, on average, 9.6 years as overweight or obese and 5.3 years in fair or poor health. For both men and women, being underweight at age 65 was associated with worse outcomes than being normal weight, whereas being overweight or obese was rarely associated with worse outcomes than being normal weight and was sometimes associated with significantly better outcomes.

CONCLUSION: Similar to middle-aged populations, older adults are likely to be or to become overweight or obese, but higher weight is not associated with worse health in this age group. Thus, the number of older adults at a "healthy" weight may be much higher than currently believed.

}, keywords = {Activities of Daily Living, Aged, Aged, 80 and over, Body Mass Index, Body Weight, Female, Health Status Indicators, Humans, Life Expectancy, Life Style, Male, Prognosis, Risk Factors, Sex Factors, Survival Rate, United States}, issn = {1532-5415}, doi = {10.1111/j.1532-5415.2007.01500.x}, author = {Diehr, Paula and O{\textquoteright}Meara, Ellen S and Fitzpatrick, Annette and Newman, Anne B and Kuller, Lewis and Burke, Gregory} } @article {1153, title = {Association of novel genetic Loci with circulating fibrinogen levels: a genome-wide association study in 6 population-based cohorts.}, journal = {Circ Cardiovasc Genet}, volume = {2}, year = {2009}, month = {2009 Apr}, pages = {125-33}, abstract = {

BACKGROUND: Fibrinogen is both central to blood coagulation and an acute-phase reactant. We aimed to identify common variants influencing circulation fibrinogen levels.

METHODS AND RESULTS: We conducted a genome-wide association analysis on 6 population-based studies, the Rotterdam Study, the Framingham Heart Study, the Cardiovascular Health Study, the Atherosclerosis Risk in Communities Study, the Monitoring of Trends and Determinants in Cardiovascular Disease/KORA Augsburg Study, and the British 1958 Birth Cohort Study, including 22 096 participants of European ancestry. Four loci were marked by 1 or more single-nucleotide polymorphisms that demonstrated genome-wide significance (P<5.0 x 10(-8)). These included a single-nucleotide polymorphism located in the fibrinogen beta chain (FGB) gene and 3 single-nucleotide polymorphisms representing newly identified loci. The high-signal single-nucleotide polymorphisms were rs1800789 in exon 7 of FGB (P=1.8 x 10(-30)), rs2522056 downstream from the interferon regulatory factor 1 (IRF1) gene (P=1.3 x 10(-15)), rs511154 within intron 1 of the propionyl coenzyme A carboxylase (PCCB) gene (P=5.9 x 10(-10)), and rs1539019 on the NLR family pyrin domain containing 3 isoforms (NLRP3) gene (P=1.04 x 10(-8)).

CONCLUSIONS: Our findings highlight biological pathways that may be important in regulation of inflammation underlying cardiovascular disease.

}, keywords = {Adult, Aged, Aged, 80 and over, Cardiovascular Diseases, Cohort Studies, European Continental Ancestry Group, Female, Fibrinogen, Genetic Loci, Genome-Wide Association Study, Humans, Male, Middle Aged, Pedigree, Polymorphism, Single Nucleotide, Young Adult}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.108.825224}, author = {Dehghan, Abbas and Yang, Qiong and Peters, Annette and Basu, Saonli and Bis, Joshua C and Rudnicka, Alicja R and Kavousi, Maryam and Chen, Ming-Huei and Baumert, Jens and Lowe, Gordon D O and McKnight, Barbara and Tang, Weihong and de Maat, Moniek and Larson, Martin G and Eyhermendy, Susana and McArdle, Wendy L and Lumley, Thomas and Pankow, James S and Hofman, Albert and Massaro, Joseph M and Rivadeneira, Fernando and Kolz, Melanie and Taylor, Kent D and van Duijn, Cornelia M and Kathiresan, Sekar and Illig, Thomas and Aulchenko, Yurii S and Volcik, Kelly A and Johnson, Andrew D and Uitterlinden, Andr{\'e} G and Tofler, Geoffrey H and Gieger, Christian and Psaty, Bruce M and Couper, David J and Boerwinkle, Eric and Koenig, Wolfgang and O{\textquoteright}Donnell, Christopher J and Witteman, Jacqueline C and Strachan, David P and Smith, Nicholas L and Folsom, Aaron R} } @article {1137, title = {Brachial artery diameter, blood flow and flow-mediated dilation in sleep-disordered breathing.}, journal = {Vasc Med}, volume = {14}, year = {2009}, month = {2009 Nov}, pages = {351-60}, abstract = {

Clinic-based, case-control studies linked sleep-disordered breathing (SDB) to markers of endothelial dysfunction. We attempted to validate this association in a large community-based sample, and evaluate the relation of SDB to arterial diameter and peripheral blood flow. This community-based, cross-sectional observational study included 327 men and 355 women, aged 42-83 years, from the Framingham Heart Study site of the Sleep Heart Health Study. The polysomnographically derived apnea-hypopnea index and the hypoxemia index (percent sleep time with oxyhemoglobin saturation below 90\%) were used to quantify the severity of SDB. Brachial artery ultrasound measurements included baseline diameter, percent flow-mediated dilation, and baseline and hyperemic flow velocity and volume. The baseline brachial artery diameter was significantly associated with both the apnea-hypopnea index and the hypoxemia index. The association was diminished by adjustment for body mass index, but remained significant for the apnea-hypopnea index. Age-, sex-, race- and body mass index-adjusted mean diameters were 4.32, 4.33, 4.33, 4.56, 4.53 mm for those with apnea-hypopnea index < 1.5, 1.5-4.9, 5-14.9, 15-29.9, >/= 30, respectively; p = 0.03. Baseline flow measures were associated with the apnea-hypopnea index but this association was non-significant after adjusting for body mass index. No significant association was observed between measures of SDB and percent flow-mediated dilation or hyperemic flow in any model. In conclusion, this study supports a moderate association of SDB and larger baseline brachial artery diameter, which may reflect SDB-induced vascular remodeling. This study does not support a link between SDB and endothelial dysfunction as measured by brachial artery flow-mediated dilation.

}, keywords = {Adult, Aged, Aged, 80 and over, Blood Flow Velocity, Brachial Artery, Cross-Sectional Studies, Female, Humans, Hyperemia, Hypoxia, Laser-Doppler Flowmetry, Male, Middle Aged, Polysomnography, Regional Blood Flow, Severity of Illness Index, Sleep Apnea Syndromes, Ultrasonography, Vasodilation}, issn = {1358-863X}, doi = {10.1177/1358863X09105132}, author = {Chami, Hassan A and Keyes, Michelle J and Vita, Joseph A and Mitchell, Gary F and Larson, Martin G and Fan, Shuxia and Vasan, Ramachandran S and O{\textquoteright}Connor, George T and Benjamin, Emelia J and Gottlieb, Daniel J} } @article {1115, title = {Coagulation factors IX through XIII and the risk of future venous thrombosis: the Longitudinal Investigation of Thromboembolism Etiology.}, journal = {Blood}, volume = {114}, year = {2009}, month = {2009 Oct 01}, pages = {2878-83}, abstract = {

Higher levels of procoagulant factors and factor XII deficiency may be risk factors for first venous thromboembolism (VTE). We studied associations of coagulation factors IX through XIII with risk of future VTE in 2 general population samples. Using a nested case-control study combining the 21 860 participants of the Atherosclerosis Risk in Communities study and the Cardiovascular Health Study, we determined antigenic levels of these coagulation factors in primarily pre-event blood samples from 462 participants who subsequently developed VTE and 1047 participants who remained free of VTE. Only elevated levels of factors IX and XI were associated with increased risk of VTE after adjustment for age, sex, race, and study. For factor IX, the odds ratio (OR) was 1.4 (95\% confidence interval [CI], 1.0-2.0) comparing the top to bottom quintile. The OR for factor XI was higher: 2.0 (95\% CI, 1.4-2.9). With further adjustment for body mass index and diabetes, only elevated factor XI remained associated with VTE risk: OR 1.8 (95\% CI, 1.3-2.7). Associations were similar by study and whether the thrombosis was idiopathic or secondary. Factor XII deficiency was not related to VTE risk. Among these procoagulant factors, only elevated factor XI was a risk factor for VTE.

}, keywords = {Aged, Aged, 80 and over, Case-Control Studies, Factor IX, Factor X, Factor XI, Factor XII, Factor XIII, Female, Humans, Longitudinal Studies, Male, Middle Aged, Odds Ratio, Prospective Studies, Risk Factors, Venous Thromboembolism}, issn = {1528-0020}, doi = {10.1182/blood-2009-05-219915}, author = {Cushman, Mary and O{\textquoteright}Meara, Ellen S and Folsom, Aaron R and Heckbert, Susan R} } @article {1152, title = {Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.}, journal = {Circ Cardiovasc Genet}, volume = {2}, year = {2009}, month = {2009 Feb}, pages = {73-80}, abstract = {

BACKGROUND: The primary aim of genome-wide association studies is to identify novel genetic loci associated with interindividual variation in the levels of risk factors, the degree of subclinical disease, or the risk of clinical disease. The requirement for large sample sizes and the importance of replication have served as powerful incentives for scientific collaboration. Methods- The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium was formed to facilitate genome-wide association studies meta-analyses and replication opportunities among multiple large population-based cohort studies, which collect data in a standardized fashion and represent the preferred method for estimating disease incidence. The design of the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium includes 5 prospective cohort studies from the United States and Europe: the Age, Gene/Environment Susceptibility-Reykjavik Study, the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study. With genome-wide data on a total of about 38 000 individuals, these cohort studies have a large number of health-related phenotypes measured in similar ways. For each harmonized trait, within-cohort genome-wide association study analyses are combined by meta-analysis. A prospective meta-analysis of data from all 5 cohorts, with a properly selected level of genome-wide statistical significance, is a powerful approach to finding genuine phenotypic associations with novel genetic loci.

CONCLUSIONS: The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and collaborating non-member studies or consortia provide an excellent framework for the identification of the genetic determinants of risk factors, subclinical-disease measures, and clinical events.

}, keywords = {Adult, Aged, Aging, Cohort Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Heart Diseases, Humans, Male, Meta-Analysis as Topic, Middle Aged, Phenotype, Research Design, Risk Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.108.829747}, author = {Psaty, Bruce M and O{\textquoteright}Donnell, Christopher J and Gudnason, Vilmundur and Lunetta, Kathryn L and Folsom, Aaron R and Rotter, Jerome I and Uitterlinden, Andr{\'e} G and Harris, Tamara B and Witteman, Jacqueline C M and Boerwinkle, Eric} } @article {1087, title = {Common variants at ten loci influence QT interval duration in the QTGEN Study.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Apr}, pages = {399-406}, abstract = {

QT interval duration, reflecting myocardial repolarization on the electrocardiogram, is a heritable risk factor for sudden cardiac death and drug-induced arrhythmias. We conducted a meta-analysis of three genome-wide association studies in 13,685 individuals of European ancestry from the Framingham Heart Study, the Rotterdam Study and the Cardiovascular Health Study, as part of the QTGEN consortium. We observed associations at P < 5 x 10(-8) with variants in NOS1AP, KCNQ1, KCNE1, KCNH2 and SCN5A, known to be involved in myocardial repolarization and mendelian long-QT syndromes. Associations were found at five newly identified loci, including 16q21 near NDRG4 and GINS3, 6q22 near PLN, 1p36 near RNF207, 16p13 near LITAF and 17q12 near LIG3 and RFFL. Collectively, the 14 independent variants at these 10 loci explain 5.4-6.5\% of the variation in QT interval. These results, together with an accompanying paper, offer insights into myocardial repolarization and suggest candidate genes that could predispose to sudden cardiac death and drug-induced arrhythmias.

}, keywords = {Adaptor Proteins, Signal Transducing, Adult, Aged, Arrhythmias, Cardiac, Chromosome Mapping, Death, Sudden, Cardiac, Electroencephalography, ERG1 Potassium Channel, Ether-A-Go-Go Potassium Channels, European Continental Ancestry Group, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, Humans, KCNQ1 Potassium Channel, Meta-Analysis as Topic, Muscle Proteins, NAV1.5 Voltage-Gated Sodium Channel, Polymorphism, Single Nucleotide, Potassium Channels, Voltage-Gated, Risk Factors, Sodium Channels}, issn = {1546-1718}, doi = {10.1038/ng.364}, author = {Newton-Cheh, Christopher and Eijgelsheim, Mark and Rice, Kenneth M and de Bakker, Paul I W and Yin, Xiaoyan and Estrada, Karol and Bis, Joshua C and Marciante, Kristin and Rivadeneira, Fernando and Noseworthy, Peter A and Sotoodehnia, Nona and Smith, Nicholas L and Rotter, Jerome I and Kors, Jan A and Witteman, Jacqueline C M and Hofman, Albert and Heckbert, Susan R and O{\textquoteright}Donnell, Christopher J and Uitterlinden, Andr{\'e} G and Psaty, Bruce M and Lumley, Thomas and Larson, Martin G and Stricker, Bruno H Ch} } @article {1064, title = {Gene variants associated with ischemic stroke: the cardiovascular health study.}, journal = {Stroke}, volume = {40}, year = {2009}, month = {2009 Feb}, pages = {363-8}, abstract = {

BACKGROUND AND PURPOSE: The purpose of this study was to determine whether 74 single nucleotide polymorphisms (SNPs), which had been associated with coronary heart disease, are associated with incident ischemic stroke.

METHODS: Based on antecedent studies of coronary heart disease, we prespecified the risk allele for each of the 74 SNPs. We used Cox proportional hazards models that adjusted for traditional risk factors to estimate the associations of these SNPs with incident ischemic stroke during 14 years of follow-up in a population-based study of older adults: the Cardiovascular Health Study (CHS).

RESULTS: In white CHS participants, the prespecified risk alleles of 7 of the 74 SNPs (in HPS1, ITGAE, ABCG2, MYH15, FSTL4, CALM1, and BAT2) were nominally associated with increased risk of stroke (one-sided P<0.05, false discovery rate=0.42). In black participants, the prespecified risk alleles of 5 SNPs (in KRT4, LY6G5B, EDG1, DMXL2, and ABCG2) were nominally associated with stroke (one-sided P<0.05, false discovery rate=0.55). The Val12Met SNP in ABCG2 was associated with stroke in both white (hazard ratio, 1.46; 90\% CI, 1.05 to 2.03) and black (hazard ratio, 3.59; 90\% CI, 1.11 to 11.6) participants of CHS. Kaplan-Meier estimates of the 10-year cumulative incidence of stroke were greater among Val allele homozygotes than among Met allele carriers in both white (10\% versus 6\%) and black (12\% versus 3\%) participants of CHS.

CONCLUSIONS: The Val12Met SNP in ABCG2 (encoding a transporter of sterols and xenobiotics) was associated with incident ischemic stroke in white and black participants of CHS.

}, keywords = {African Continental Ancestry Group, Aged, Alleles, Brain Ischemia, Cardiovascular Diseases, Coronary Disease, Ethnic Groups, European Continental Ancestry Group, Female, Gene Frequency, Genetic Variation, Humans, Kaplan-Meier Estimate, Male, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, Stroke, United States}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.108.521328}, author = {Luke, May M and O{\textquoteright}Meara, Ellen S and Rowland, Charles M and Shiffman, Dov and Bare, Lance A and Arellano, Andre R and Longstreth, W T and Lumley, Thomas and Rice, Kenneth and Tracy, Russell P and Devlin, James J and Psaty, Bruce M} } @article {1108, title = {Genetic variants associated with cardiac structure and function: a meta-analysis and replication of genome-wide association data.}, journal = {JAMA}, volume = {302}, year = {2009}, month = {2009 Jul 08}, pages = {168-78}, abstract = {

CONTEXT: Echocardiographic measures of left ventricular (LV) structure and function are heritable phenotypes of cardiovascular disease.

OBJECTIVE: To identify common genetic variants associated with cardiac structure and function by conducting a meta-analysis of genome-wide association data in 5 population-based cohort studies (stage 1) with replication (stage 2) in 2 other community-based samples.

DESIGN, SETTING, AND PARTICIPANTS: Within each of 5 community-based cohorts comprising the EchoGen consortium (stage 1; n = 12 612 individuals of European ancestry; 55\% women, aged 26-95 years; examinations between 1978-2008), we estimated the association between approximately 2.5 million single-nucleotide polymorphisms (SNPs; imputed to the HapMap CEU panel) and echocardiographic traits. In stage 2, SNPs significantly associated with traits in stage 1 were tested for association in 2 other cohorts (n = 4094 people of European ancestry). Using a prespecified P value threshold of 5 x 10(-7) to indicate genome-wide significance, we performed an inverse variance-weighted fixed-effects meta-analysis of genome-wide association data from each cohort.

MAIN OUTCOME MEASURES: Echocardiographic traits: LV mass, internal dimensions, wall thickness, systolic dysfunction, aortic root, and left atrial size.

RESULTS: In stage 1, 16 genetic loci were associated with 5 echocardiographic traits: 1 each with LV internal dimensions and systolic dysfunction, 3 each with LV mass and wall thickness, and 8 with aortic root size. In stage 2, 5 loci replicated (6q22 locus associated with LV diastolic dimensions, explaining <1\% of trait variance; 5q23, 12p12, 12q14, and 17p13 associated with aortic root size, explaining 1\%-3\% of trait variance).

CONCLUSIONS: We identified 5 genetic loci harboring common variants that were associated with variation in LV diastolic dimensions and aortic root size, but such findings explained a very small proportion of variance. Further studies are required to replicate these findings, identify the causal variants at or near these loci, characterize their functional significance, and determine whether they are related to overt cardiovascular disease.

}, keywords = {Adult, Aged, Aged, 80 and over, Aorta, Cardiovascular Diseases, Echocardiography, European Continental Ancestry Group, Female, Genome-Wide Association Study, Genotype, Heart Atria, Heart Ventricles, Humans, Male, Middle Aged, Organ Size, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Ventricular Dysfunction, Left, Ventricular Function, Left}, issn = {1538-3598}, doi = {10.1001/jama.2009.978-a}, author = {Vasan, Ramachandran S and Glazer, Nicole L and Felix, Janine F and Lieb, Wolfgang and Wild, Philipp S and Felix, Stephan B and Watzinger, Norbert and Larson, Martin G and Smith, Nicholas L and Dehghan, Abbas and Grosshennig, Anika and Schillert, Arne and Teumer, Alexander and Schmidt, Reinhold and Kathiresan, Sekar and Lumley, Thomas and Aulchenko, Yurii S and K{\"o}nig, Inke R and Zeller, Tanja and Homuth, Georg and Struchalin, Maksim and Aragam, Jayashri and Bis, Joshua C and Rivadeneira, Fernando and Erdmann, Jeanette and Schnabel, Renate B and D{\"o}rr, Marcus and Zweiker, Robert and Lind, Lars and Rodeheffer, Richard J and Greiser, Karin Halina and Levy, Daniel and Haritunians, Talin and Deckers, Jaap W and Stritzke, Jan and Lackner, Karl J and V{\"o}lker, Uwe and Ingelsson, Erik and Kullo, Iftikhar and Haerting, Johannes and O{\textquoteright}Donnell, Christopher J and Heckbert, Susan R and Stricker, Bruno H and Ziegler, Andreas and Reffelmann, Thorsten and Redfield, Margaret M and Werdan, Karl and Mitchell, Gary F and Rice, Kenneth and Arnett, Donna K and Hofman, Albert and Gottdiener, John S and Uitterlinden, Andr{\'e} G and Meitinger, Thomas and Blettner, Maria and Friedrich, Nele and Wang, Thomas J and Psaty, Bruce M and van Duijn, Cornelia M and Wichmann, H-Erich and Munzel, Thomas F and Kroemer, Heyo K and Benjamin, Emelia J and Rotter, Jerome I and Witteman, Jacqueline C and Schunkert, Heribert and Schmidt, Helena and V{\"o}lzke, Henry and Blankenberg, Stefan} } @article {1092, title = {Genomewide association studies of stroke.}, journal = {N Engl J Med}, volume = {360}, year = {2009}, month = {2009 Apr 23}, pages = {1718-28}, abstract = {

BACKGROUND: The genes underlying the risk of stroke in the general population remain undetermined.

METHODS: We carried out an analysis of genomewide association data generated from four large cohorts composing the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, including 19,602 white persons (mean [+/-SD] age, 63+/-8 years) in whom 1544 incident strokes (1164 ischemic strokes) developed over an average follow-up of 11 years. We tested the markers most strongly associated with stroke in a replication cohort of 2430 black persons with 215 incident strokes (191 ischemic strokes), another cohort of 574 black persons with 85 incident strokes (68 ischemic strokes), and 652 Dutch persons with ischemic stroke and 3613 unaffected persons.

RESULTS: Two intergenic single-nucleotide polymorphisms on chromosome 12p13 and within 11 kb of the gene NINJ2 were associated with stroke (P<5x10(-8)). NINJ2 encodes an adhesion molecule expressed in glia and shows increased expression after nerve injury. Direct genotyping showed that rs12425791 was associated with an increased risk of total (i.e., all types) and ischemic stroke, with hazard ratios of 1.30 (95\% confidence interval [CI], 1.19 to 1.42) and 1.33 (95\% CI, 1.21 to 1.47), respectively, yielding population attributable risks of 11\% and 12\% in the discovery cohorts. Corresponding hazard ratios were 1.35 (95\% CI, 1.01 to 1.79; P=0.04) and 1.42 (95\% CI, 1.06 to 1.91; P=0.02) in the large cohort of black persons and 1.17 (95\% CI, 1.01 to 1.37; P=0.03) and 1.19 (95\% CI, 1.01 to 1.41; P=0.04) in the Dutch sample; the results of an underpowered analysis of the smaller black cohort were nonsignificant.

CONCLUSIONS: A genetic locus on chromosome 12p13 is associated with an increased risk of stroke.

}, keywords = {African Continental Ancestry Group, Aged, Chromosomes, Human, Pair 12, Cohort Studies, European Continental Ancestry Group, Female, Genetic Markers, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Proportional Hazards Models, Risk Factors, Stroke}, issn = {1533-4406}, doi = {10.1056/NEJMoa0900094}, author = {Ikram, M Arfan and Seshadri, Sudha and Bis, Joshua C and Fornage, Myriam and DeStefano, Anita L and Aulchenko, Yurii S and Debette, Stephanie and Lumley, Thomas and Folsom, Aaron R and van den Herik, Evita G and Bos, Michiel J and Beiser, Alexa and Cushman, Mary and Launer, Lenore J and Shahar, Eyal and Struchalin, Maksim and Du, Yangchun and Glazer, Nicole L and Rosamond, Wayne D and Rivadeneira, Fernando and Kelly-Hayes, Margaret and Lopez, Oscar L and Coresh, Josef and Hofman, Albert and DeCarli, Charles and Heckbert, Susan R and Koudstaal, Peter J and Yang, Qiong and Smith, Nicholas L and Kase, Carlos S and Rice, Kenneth and Haritunians, Talin and Roks, Gerwin and de Kort, Paul L M and Taylor, Kent D and de Lau, Lonneke M and Oostra, Ben A and Uitterlinden, Andr{\'e} G and Rotter, Jerome I and Boerwinkle, Eric and Psaty, Bruce M and Mosley, Thomas H and van Duijn, Cornelia M and Breteler, Monique M B and Longstreth, W T and Wolf, Philip A} } @article {1098, title = {Genome-wide association study of blood pressure and hypertension.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Jun}, pages = {677-87}, abstract = {

Blood pressure is a major cardiovascular disease risk factor. To date, few variants associated with interindividual blood pressure variation have been identified and replicated. Here we report results of a genome-wide association study of systolic (SBP) and diastolic (DBP) blood pressure and hypertension in the CHARGE Consortium (n = 29,136), identifying 13 SNPs for SBP, 20 for DBP and 10 for hypertension at P < 4 {\texttimes} 10(-7). The top ten loci for SBP and DBP were incorporated into a risk score; mean BP and prevalence of hypertension increased in relation to the number of risk alleles carried. When ten CHARGE SNPs for each trait were included in a joint meta-analysis with the Global BPgen Consortium (n = 34,433), four CHARGE loci attained genome-wide significance (P < 5 {\texttimes} 10(-8)) for SBP (ATP2B1, CYP17A1, PLEKHA7, SH2B3), six for DBP (ATP2B1, CACNB2, CSK-ULK3, SH2B3, TBX3-TBX5, ULK4) and one for hypertension (ATP2B1). Identifying genes associated with blood pressure advances our understanding of blood pressure regulation and highlights potential drug targets for the prevention or treatment of hypertension.

}, keywords = {Blood Pressure, Cell Line, Chromosome Mapping, Chromosomes, Human, Diastole, Gene Expression Regulation, Genetic Association Studies, Genome-Wide Association Study, Humans, Hypertension, Liver, Lymphocytes, Meta-Analysis as Topic, Odds Ratio, Phenotype, Prevalence, Risk Assessment, Systole}, issn = {1546-1718}, doi = {10.1038/ng.384}, author = {Levy, Daniel and Ehret, Georg B and Rice, Kenneth and Verwoert, Germaine C and Launer, Lenore J and Dehghan, Abbas and Glazer, Nicole L and Morrison, Alanna C and Johnson, Andrew D and Aspelund, Thor and Aulchenko, Yurii and Lumley, Thomas and K{\"o}ttgen, Anna and Vasan, Ramachandran S and Rivadeneira, Fernando and Eiriksdottir, Gudny and Guo, Xiuqing and Arking, Dan E and Mitchell, Gary F and Mattace-Raso, Francesco U S and Smith, Albert V and Taylor, Kent and Scharpf, Robert B and Hwang, Shih-Jen and Sijbrands, Eric J G and Bis, Joshua and Harris, Tamara B and Ganesh, Santhi K and O{\textquoteright}Donnell, Christopher J and Hofman, Albert and Rotter, Jerome I and Coresh, Josef and Benjamin, Emelia J and Uitterlinden, Andr{\'e} G and Heiss, Gerardo and Fox, Caroline S and Witteman, Jacqueline C M and Boerwinkle, Eric and Wang, Thomas J and Gudnason, Vilmundur and Larson, Martin G and Chakravarti, Aravinda and Psaty, Bruce M and van Duijn, Cornelia M} } @article {1085, title = {Midlife and late-life obesity and the risk of dementia: cardiovascular health study.}, journal = {Arch Neurol}, volume = {66}, year = {2009}, month = {2009 Mar}, pages = {336-42}, abstract = {

BACKGROUND: While high adiposity in middle age appears to be related to greater dementia risk, studies exploring this association in the elderly are conflicting.

OBJECTIVE: To evaluate associations between midlife and late-life obesity and risk of dementia.

DESIGN: Prospective study with mean follow-up of 5.4 years (1992-1994 through 1999).

SETTING: Community-dwelling sample in 4 US sites recruited from Medicare eligibility files.

PARTICIPANTS: A total of 2798 adults without dementia (mean age, 74.7 years; 59.1\% women) participating in the Cardiovascular Health Study who underwent magnetic resonance imaging were measured for height and weight at baseline at age 65 years or older (late life), and self-reported weight at age 50 years (midlife). Body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) was calculated at both times.

MAIN OUTCOME MEASURES: Dementia, Alzheimer disease, and vascular dementia classified by a multidisciplinary committee using standardized criteria.

RESULTS: Classification resulted in 480 persons with incident dementia, 245 with Alzheimer disease (no vascular dementia), and 213 with vascular dementia (with or without Alzheimer disease). In evaluations of midlife obesity, an increased risk of dementia was found for obese (BMI >30) vs normal-weight (BMI 20-25) persons, adjusted for demographics (hazard ratio [HR], 1.39; 95\% confidence interval [CI], 1.03-1.87) and for cardiovascular risk factors (1.36; 0.94-1.95). The risk estimates were reversed in assessments of late-life BMI. Underweight persons (BMI <20) had an increased risk of dementia (1.62; 1.02-2.64), whereas being overweight (BMI >25-30) was not associated (0.92; 0.72-1.18) and being obese reduced the risk of dementia (0.63; 0.44-0.91) compared with those with normal BMI.

CONCLUSION: These results help explain the "obesity paradox" as differences in dementia risk across time are consistent with physical changes in the trajectory toward disability.

}, keywords = {Aged, Aged, 80 and over, Aging, Alzheimer Disease, Anthropometry, Body Mass Index, Dementia, Vascular, Evaluation Studies as Topic, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Obesity, Prospective Studies, Risk, Survival Analysis}, issn = {1538-3687}, doi = {10.1001/archneurol.2008.582}, author = {Fitzpatrick, Annette L and Kuller, Lewis H and Lopez, Oscar L and Diehr, Paula and O{\textquoteright}Meara, Ellen S and Longstreth, W T and Luchsinger, Jos{\'e} A} } @article {1141, title = {Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Nov}, pages = {1191-8}, abstract = {

Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.

}, keywords = {Blood Pressure, Cell Line, Cohort Studies, Endothelial Cells, Erythrocytes, Gene Expression, Genome, Human, Genome-Wide Association Study, Humans, Hypertension, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1546-1718}, doi = {10.1038/ng.466}, author = {Ganesh, Santhi K and Zakai, Neil A and van Rooij, Frank J A and Soranzo, Nicole and Smith, Albert V and Nalls, Michael A and Chen, Ming-Huei and K{\"o}ttgen, Anna and Glazer, Nicole L and Dehghan, Abbas and Kuhnel, Brigitte and Aspelund, Thor and Yang, Qiong and Tanaka, Toshiko and Jaffe, Andrew and Bis, Joshua C M and Verwoert, Germaine C and Teumer, Alexander and Fox, Caroline S and Guralnik, Jack M and Ehret, Georg B and Rice, Kenneth and Felix, Janine F and Rendon, Augusto and Eiriksdottir, Gudny and Levy, Daniel and Patel, Kushang V and Boerwinkle, Eric and Rotter, Jerome I and Hofman, Albert and Sambrook, Jennifer G and Hernandez, Dena G and Zheng, Gang and Bandinelli, Stefania and Singleton, Andrew B and Coresh, Josef and Lumley, Thomas and Uitterlinden, Andr{\'e} G and Vangils, Janine M and Launer, Lenore J and Cupples, L Adrienne and Oostra, Ben A and Zwaginga, Jaap-Jan and Ouwehand, Willem H and Thein, Swee-Lay and Meisinger, Christa and Deloukas, Panos and Nauck, Matthias and Spector, Tim D and Gieger, Christian and Gudnason, Vilmundur and van Duijn, Cornelia M and Psaty, Bruce M and Ferrucci, Luigi and Chakravarti, Aravinda and Greinacher, Andreas and O{\textquoteright}Donnell, Christopher J and Witteman, Jacqueline C M and Furth, Susan and Cushman, Mary and Harris, Tamara B and Lin, Jing-Ping} } @article {1107, title = {NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium.}, journal = {PLoS Genet}, volume = {5}, year = {2009}, month = {2009 Jun}, pages = {e1000539}, abstract = {

Central abdominal fat is a strong risk factor for diabetes and cardiovascular disease. To identify common variants influencing central abdominal fat, we conducted a two-stage genome-wide association analysis for waist circumference (WC). In total, three loci reached genome-wide significance. In stage 1, 31,373 individuals of Caucasian descent from eight cohort studies confirmed the role of FTO and MC4R and identified one novel locus associated with WC in the neurexin 3 gene [NRXN3 (rs10146997, p = 6.4x10(-7))]. The association with NRXN3 was confirmed in stage 2 by combining stage 1 results with those from 38,641 participants in the GIANT consortium (p = 0.009 in GIANT only, p = 5.3x10(-8) for combined analysis, n = 70,014). Mean WC increase per copy of the G allele was 0.0498 z-score units (0.65 cm). This SNP was also associated with body mass index (BMI) [p = 7.4x10(-6), 0.024 z-score units (0.10 kg/m(2)) per copy of the G allele] and the risk of obesity (odds ratio 1.13, 95\% CI 1.07-1.19; p = 3.2x10(-5) per copy of the G allele). The NRXN3 gene has been previously implicated in addiction and reward behavior, lending further evidence that common forms of obesity may be a central nervous system-mediated disorder. Our findings establish that common variants in NRXN3 are associated with WC, BMI, and obesity.

}, keywords = {Aged, Body Mass Index, Cohort Studies, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Obesity, Polymorphism, Single Nucleotide, Waist Circumference}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1000539}, author = {Heard-Costa, Nancy L and Zillikens, M Carola and Monda, Keri L and Johansson, Asa and Harris, Tamara B and Fu, Mao and Haritunians, Talin and Feitosa, Mary F and Aspelund, Thor and Eiriksdottir, Gudny and Garcia, Melissa and Launer, Lenore J and Smith, Albert V and Mitchell, Braxton D and McArdle, Patrick F and Shuldiner, Alan R and Bielinski, Suzette J and Boerwinkle, Eric and Brancati, Fred and Demerath, Ellen W and Pankow, James S and Arnold, Alice M and Chen, Yii-Der Ida and Glazer, Nicole L and McKnight, Barbara and Psaty, Bruce M and Rotter, Jerome I and Amin, Najaf and Campbell, Harry and Gyllensten, Ulf and Pattaro, Cristian and Pramstaller, Peter P and Rudan, Igor and Struchalin, Maksim and Vitart, Veronique and Gao, Xiaoyi and Kraja, Aldi and Province, Michael A and Zhang, Qunyuan and Atwood, Larry D and Dupuis, Jos{\'e}e and Hirschhorn, Joel N and Jaquish, Cashell E and O{\textquoteright}Donnell, Christopher J and Vasan, Ramachandran S and White, Charles C and Aulchenko, Yurii S and Estrada, Karol and Hofman, Albert and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Witteman, Jacqueline C M and Oostra, Ben A and Kaplan, Robert C and Gudnason, Vilmundur and O{\textquoteright}Connell, Jeffrey R and Borecki, Ingrid B and van Duijn, Cornelia M and Cupples, L Adrienne and Fox, Caroline S and North, Kari E} } @article {1083, title = {Prospective study of sleep-disordered breathing and hypertension: the Sleep Heart Health Study.}, journal = {Am J Respir Crit Care Med}, volume = {179}, year = {2009}, month = {2009 Jun 15}, pages = {1159-64}, abstract = {

RATIONALE: Cross-sectional epidemiologic studies show an association between sleep-disordered breathing and hypertension, but only one cohort study has examined sleep-disordered breathing as a risk factor for incident hypertension.

OBJECTIVES: To examine whether sleep-disordered breathing increases the risk of incident hypertension among persons 40 years of age and older.

METHODS: In a prospective cohort study, we analyzed data from 2,470 participants who at baseline did not have hypertension, defined as blood pressure of at least 140/90 mm Hg or taking antihypertensive medication. The apnea-hypopnea index (AHI), the number of apneas plus hypopneas per hour of sleep, was measured by overnight in-home polysomnography. We estimated odds ratios for developing hypertension during 5 years of follow-up according to baseline AHI.

MEASUREMENTS AND MAIN RESULTS: The odds ratios for incident hypertension increased with increasing baseline AHI; however, this relationship was attenuated and not statistically significant after adjustment for baseline body-mass index. Although not statistically significant, the observed association between a baseline AHI greater than 30 and future hypertension (odds ratio, 1.51; 95\% confidence interval, 0.93-2.47) does not exclude the possibility of a modest association.

CONCLUSIONS: Among middle-aged and older persons without hypertension, much of the relationship between AHI and risk of incident hypertension was accounted for by obesity. After adjustment for body mass index, the AHI was not a significant predictor of future hypertension, although a modest influence of an AHI greater than 30 on hypertension could not be excluded.

}, keywords = {Adult, Blood Pressure, Confidence Intervals, Cross-Sectional Studies, Female, Follow-Up Studies, Humans, Hypertension, Incidence, Male, Middle Aged, Odds Ratio, Polysomnography, Prognosis, Prospective Studies, Risk Factors, Sleep Apnea Syndromes, Time Factors, United States}, issn = {1535-4970}, doi = {10.1164/rccm.200712-1809OC}, author = {O{\textquoteright}Connor, George T and Caffo, Brian and Newman, Anne B and Quan, Stuart F and Rapoport, David M and Redline, Susan and Resnick, Helaine E and Samet, Jonathan and Shahar, Eyal} } @article {1122, title = {Sleep-disordered breathing and mortality: a prospective cohort study.}, journal = {PLoS Med}, volume = {6}, year = {2009}, month = {2009 Aug}, pages = {e1000132}, abstract = {

BACKGROUND: Sleep-disordered breathing is a common condition associated with adverse health outcomes including hypertension and cardiovascular disease. The overall objective of this study was to determine whether sleep-disordered breathing and its sequelae of intermittent hypoxemia and recurrent arousals are associated with mortality in a community sample of adults aged 40 years or older.

METHODS AND FINDINGS: We prospectively examined whether sleep-disordered breathing was associated with an increased risk of death from any cause in 6,441 men and women participating in the Sleep Heart Health Study. Sleep-disordered breathing was assessed with the apnea-hypopnea index (AHI) based on an in-home polysomnogram. Survival analysis and proportional hazards regression models were used to calculate hazard ratios for mortality after adjusting for age, sex, race, smoking status, body mass index, and prevalent medical conditions. The average follow-up period for the cohort was 8.2 y during which 1,047 participants (587 men and 460 women) died. Compared to those without sleep-disordered breathing (AHI: <5 events/h), the fully adjusted hazard ratios for all-cause mortality in those with mild (AHI: 5.0-14.9 events/h), moderate (AHI: 15.0-29.9 events/h), and severe (AHI: >or=30.0 events/h) sleep-disordered breathing were 0.93 (95\% CI: 0.80-1.08), 1.17 (95\% CI: 0.97-1.42), and 1.46 (95\% CI: 1.14-1.86), respectively. Stratified analyses by sex and age showed that the increased risk of death associated with severe sleep-disordered breathing was statistically significant in men aged 40-70 y (hazard ratio: 2.09; 95\% CI: 1.31-3.33). Measures of sleep-related intermittent hypoxemia, but not sleep fragmentation, were independently associated with all-cause mortality. Coronary artery disease-related mortality associated with sleep-disordered breathing showed a pattern of association similar to all-cause mortality.

CONCLUSIONS: Sleep-disordered breathing is associated with all-cause mortality and specifically that due to coronary artery disease, particularly in men aged 40-70 y with severe sleep-disordered breathing. Please see later in the article for the Editors{\textquoteright} Summary.

}, keywords = {Aged, Coronary Artery Disease, Female, Humans, Hypoxia, Male, Middle Aged, Odds Ratio, Proportional Hazards Models, Prospective Studies, Risk Factors, Sex Factors, Sleep Apnea Syndromes, Survival Analysis}, issn = {1549-1676}, doi = {10.1371/journal.pmed.1000132}, author = {Punjabi, Naresh M and Caffo, Brian S and Goodwin, James L and Gottlieb, Daniel J and Newman, Anne B and O{\textquoteright}Connor, George T and Rapoport, David M and Redline, Susan and Resnick, Helaine E and Robbins, John A and Shahar, Eyal and Unruh, Mark L and Samet, Jonathan M} } @article {1123, title = {Trajectories of dehydroepiandrosterone sulfate predict mortality in older adults: the cardiovascular health study.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {64}, year = {2009}, month = {2009 Dec}, pages = {1268-74}, abstract = {

BACKGROUND: Dehydroepiandrosterone sulfate (DHEAS) has been proposed as an antiaging hormone, but its importance is unclear. Assessment of an individual{\textquoteright}s ability to maintain a DHEAS set point, through examination of multiple DHEAS levels over time, may provide insight into biologic aging.

METHODS: Using Cox proportional hazard models, we examined the relationship between DHEAS trajectory patterns and all-cause death in 950 individuals aged >or=65 years who were enrolled in the Cardiovascular Health Study and had DHEAS levels measured at three to six time points.

RESULTS: Overall, there was a slight decline in DHEAS levels over time (-0.013 microg/mL/y). Three trajectory components were examined: slope, variability, and baseline DHEAS. When examined individually, a steep decline or extreme variability in DHEAS levels was associated with higher mortality (p < .001 for each), whereas baseline DHEAS level was not. In adjusted models including all three components, steep decline (hazard ratio [HR] 1.75, confidence interval [CI] 1.32-2.33) and extreme variability (HR 1.89, CI 1.47-2.43) remained significant predictors of mortality, whereas baseline DHEAS level remained unpredictive of mortality (HR 0.97 per standard deviation, CI 0.88-1.07). The effect of trajectory pattern was more pronounced in men than in women. Individuals with both a steep decline and extreme variability in DHEAS levels had a significantly higher death rate than those with neither pattern (141 vs 48 deaths per 1,000 person-years, p < .001).

CONCLUSIONS: Our data show significant heterogeneity in the individual trajectories of DHEAS levels and suggest that these trajectories provide important biologic information about the rate of aging, whereas the DHEAS level itself does not.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Aging, Biomarkers, Cardiovascular Diseases, Cause of Death, Cohort Studies, Dehydroepiandrosterone Sulfate, Female, Geriatric Assessment, Humans, Longitudinal Studies, Male, Predictive Value of Tests, Proportional Hazards Models, Risk Assessment, Severity of Illness Index, Sex Factors, Survival Analysis, United States}, issn = {1758-535X}, doi = {10.1093/gerona/glp129}, author = {Cappola, Anne R and O{\textquoteright}Meara, Ellen S and Guo, Wensheng and Bartz, Traci M and Fried, Linda P and Newman, Anne B} } @article {1128, title = {Age and cystatin C in healthy adults: a collaborative study.}, journal = {Nephrol Dial Transplant}, volume = {25}, year = {2010}, month = {2010 Feb}, pages = {463-9}, abstract = {

BACKGROUND: Kidney function declines with age, but a substantial portion of this decline has been attributed to the higher prevalence of risk factors for kidney disease at older ages. The effect of age on kidney function has not been well described in a healthy population across a wide age spectrum.

METHODS: The authors pooled individual-level cross-sectional data from 18 253 persons aged 28-100 years in four studies: the Cardiovascular Health Study; the Health, Aging and Body Composition Study; the Multi-Ethnic Study of Atherosclerosis and the Prevention of Renal and Vascular End-Stage Disease cohort. Kidney function was measured by cystatin C. Clinical risk factors for kidney disease included diabetes, hypertension, obesity, smoking, coronary heart disease, cerebrovascular disease, peripheral arterial disease and heart failure.

RESULTS: Across the age range, there was a strong, non-linear association of age with cystatin C concentration. This association was substantial, even among participants free of clinical risk factors for kidney disease; mean cystatin C levels were 46\% higher in participants 80 and older compared with those <40 years (1.06 versus 0.72 mg/L, P < 0.001). Participants with one or more risk factors had higher cystatin C concentrations for a given age, and the age association was slightly stronger (P < 0.001 for age and risk factor interaction).

CONCLUSIONS: There is a strong, non-linear association of age with kidney function, even in healthy individuals. An important area for research will be to investigate the mechanisms that lead to deterioration of kidney function in apparently healthy persons.

}, keywords = {Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Cystatin C, Humans, Kidney, Middle Aged, Reference Values}, issn = {1460-2385}, doi = {10.1093/ndt/gfp474}, author = {Odden, Michelle C and Tager, Ira B and Gansevoort, Ron T and Bakker, Stephan J L and Katz, Ronit and Fried, Linda F and Newman, Anne B and Canada, Robert B and Harris, Tamara and Sarnak, Mark J and Siscovick, David and Shlipak, Michael G} } @article {1228, title = {Albuminuria and the risk of incident stroke and stroke types in older adults.}, journal = {Neurology}, volume = {75}, year = {2010}, month = {2010 Oct 12}, pages = {1343-50}, abstract = {

BACKGROUND: The kidney biomarker that best reflects risk of stroke is unknown. We sought to evaluate the association of stroke with 3 kidney biomarkers: albuminuria, cystatin C, and glomerular filtration rate.

METHODS: These 3 biomarkers were determined in 3,287 participants without history of stroke from the Cardiovascular Health Study, a longitudinal cohort study of men and women age 65 years and older from 4 US communities. The biomarkers were albuminuria ascertained using urinary albumin-to-creatinine ratio (UACR) from morning spot urine, creatinine-based estimated glomerular filtration rate (eGFR), and cystatin C. Outcomes were incident stroke (any, ischemic, or hemorrhagic) during follow-up between 1996 and 2006.

RESULTS: A total of 390 participants had an incident stroke: 81\% ischemic, 12\% hemorrhagic, and 7\% unclassified. In adjusted Cox regression models, UACR was more strongly related to any stroke, ischemic stroke, and hemorrhagic stroke than eGFR and cystatin C. The hazard ratio (HR) of any stroke comparing the top to bottom quintile of UACR was 2.10 (95\% confidence interval [CI] 1.47-3.00), while HR for eGFR was 1.29 (95\% CI 0.91-1.84) and for cystatin C was 1.22 (95\% CI 0.85-1.74). When considering clinically relevant categories, elevated UACR was associated with increased hazard of any stroke and ischemic stroke regardless of eGFR or cystatin C categories.

CONCLUSIONS: UACR was the kidney biomarker most strongly associated with risk of incident stroke. Results in this elderly cohort may not be applicable to younger populations. These findings suggest that measures of glomerular filtration and permeability have differential effects on stroke risk.

}, keywords = {Aged, Aged, 80 and over, Albuminuria, Community Health Services, Confidence Intervals, Female, Geriatric Assessment, Glomerular Filtration Rate, Humans, Incidence, Longitudinal Studies, Male, Proportional Hazards Models, Retrospective Studies, Risk Factors, Stroke}, issn = {1526-632X}, doi = {10.1212/WNL.0b013e3181f73638}, author = {Aguilar, M I and O{\textquoteright}Meara, E S and Seliger, S and Longstreth, W T and Hart, R G and Pergola, P E and Shlipak, M G and Katz, R and Sarnak, M J and Rifkin, D E} } @article {1237, title = {Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Nov}, pages = {937-48}, abstract = {

Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and \~{} 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 {\texttimes} 10$^{-}$$^{8}$), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.

}, keywords = {Body Height, Body Mass Index, Body Size, Body Weight, Chromosome Mapping, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Obesity, Polymorphism, Single Nucleotide}, issn = {1546-1718}, doi = {10.1038/ng.686}, author = {Speliotes, Elizabeth K and Willer, Cristen J and Berndt, Sonja I and Monda, Keri L and Thorleifsson, Gudmar and Jackson, Anne U and Lango Allen, Hana and Lindgren, Cecilia M and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Randall, Joshua C and Vedantam, Sailaja and Winkler, Thomas W and Qi, Lu and Workalemahu, Tsegaselassie and Heid, Iris M and Steinthorsdottir, Valgerdur and Stringham, Heather M and Weedon, Michael N and Wheeler, Eleanor and Wood, Andrew R and Ferreira, Teresa and Weyant, Robert J and Segr{\`e}, Ayellet V and Estrada, Karol and Liang, Liming and Nemesh, James and Park, Ju-Hyun and Gustafsson, Stefan and Kilpel{\"a}inen, Tuomas O and Yang, Jian and Bouatia-Naji, Nabila and Esko, T{\~o}nu and Feitosa, Mary F and Kutalik, Zolt{\'a}n and Mangino, Massimo and Raychaudhuri, Soumya and Scherag, Andre and Smith, Albert Vernon and Welch, Ryan and Zhao, Jing Hua and Aben, Katja K and Absher, Devin M and Amin, Najaf and Dixon, Anna L and Fisher, Eva and Glazer, Nicole L and Goddard, Michael E and Heard-Costa, Nancy L and Hoesel, Volker and Hottenga, Jouke-Jan and Johansson, Asa and Johnson, Toby and Ketkar, Shamika and Lamina, Claudia and Li, Shengxu and Moffatt, Miriam F and Myers, Richard H and Narisu, Narisu and Perry, John R B and Peters, Marjolein J and Preuss, Michael and Ripatti, Samuli and Rivadeneira, Fernando and Sandholt, Camilla and Scott, Laura J and Timpson, Nicholas J and Tyrer, Jonathan P and van Wingerden, Sophie and Watanabe, Richard M and White, Charles C and Wiklund, Fredrik and Barlassina, Christina and Chasman, Daniel I and Cooper, Matthew N and Jansson, John-Olov and Lawrence, Robert W and Pellikka, Niina and Prokopenko, Inga and Shi, Jianxin and Thiering, Elisabeth and Alavere, Helene and Alibrandi, Maria T S and Almgren, Peter and Arnold, Alice M and Aspelund, Thor and Atwood, Larry D and Balkau, Beverley and Balmforth, Anthony J and Bennett, Amanda J and Ben-Shlomo, Yoav and Bergman, Richard N and Bergmann, Sven and Biebermann, Heike and Blakemore, Alexandra I F and Boes, Tanja and Bonnycastle, Lori L and Bornstein, Stefan R and Brown, Morris J and Buchanan, Thomas A and Busonero, Fabio and Campbell, Harry and Cappuccio, Francesco P and Cavalcanti-Proen{\c c}a, Christine and Chen, Yii-Der Ida and Chen, Chih-Mei and Chines, Peter S and Clarke, Robert and Coin, Lachlan and Connell, John and Day, Ian N M and den Heijer, Martin and Duan, Jubao and Ebrahim, Shah and Elliott, Paul and Elosua, Roberto and Eiriksdottir, Gudny and Erdos, Michael R and Eriksson, Johan G and Facheris, Maurizio F and Felix, Stephan B and Fischer-Posovszky, Pamela and Folsom, Aaron R and Friedrich, Nele and Freimer, Nelson B and Fu, Mao and Gaget, Stefan and Gejman, Pablo V and Geus, Eco J C and Gieger, Christian and Gjesing, Anette P and Goel, Anuj and Goyette, Philippe and Grallert, Harald and Gr{\"a}ssler, J{\"u}rgen and Greenawalt, Danielle M and Groves, Christopher J and Gudnason, Vilmundur and Guiducci, Candace and Hartikainen, Anna-Liisa and Hassanali, Neelam and Hall, Alistair S and Havulinna, Aki S and Hayward, Caroline and Heath, Andrew C and Hengstenberg, Christian and Hicks, Andrew A and Hinney, Anke and Hofman, Albert and Homuth, Georg and Hui, Jennie and Igl, Wilmar and Iribarren, Carlos and Isomaa, Bo and Jacobs, Kevin B and Jarick, Ivonne and Jewell, Elizabeth and John, Ulrich and J{\o}rgensen, Torben and Jousilahti, Pekka and Jula, Antti and Kaakinen, Marika and Kajantie, Eero and Kaplan, Lee M and Kathiresan, Sekar and Kettunen, Johannes and Kinnunen, Leena and Knowles, Joshua W and Kolcic, Ivana and K{\"o}nig, Inke R and Koskinen, Seppo and Kovacs, Peter and Kuusisto, Johanna and Kraft, Peter and Kval{\o}y, Kirsti and Laitinen, Jaana and Lantieri, Olivier and Lanzani, Chiara and Launer, Lenore J and Lecoeur, C{\'e}cile and Lehtim{\"a}ki, Terho and Lettre, Guillaume and Liu, Jianjun and Lokki, Marja-Liisa and Lorentzon, Mattias and Luben, Robert N and Ludwig, Barbara and Manunta, Paolo and Marek, Diana and Marre, Michel and Martin, Nicholas G and McArdle, Wendy L and McCarthy, Anne and McKnight, Barbara and Meitinger, Thomas and Melander, Olle and Meyre, David and Midthjell, Kristian and Montgomery, Grant W and Morken, Mario A and Morris, Andrew P and Mulic, Rosanda and Ngwa, Julius S and Nelis, Mari and Neville, Matt J and Nyholt, Dale R and O{\textquoteright}Donnell, Christopher J and O{\textquoteright}Rahilly, Stephen and Ong, Ken K and Oostra, Ben and Par{\'e}, Guillaume and Parker, Alex N and Perola, Markus and Pichler, Irene and Pietil{\"a}inen, Kirsi H and Platou, Carl G P and Polasek, Ozren and Pouta, Anneli and Rafelt, Suzanne and Raitakari, Olli and Rayner, Nigel W and Ridderstr{\r a}le, Martin and Rief, Winfried and Ruokonen, Aimo and Robertson, Neil R and Rzehak, Peter and Salomaa, Veikko and Sanders, Alan R and Sandhu, Manjinder S and Sanna, Serena and Saramies, Jouko and Savolainen, Markku J and Scherag, Susann and Schipf, Sabine and Schreiber, Stefan and Schunkert, Heribert and Silander, Kaisa and Sinisalo, Juha and Siscovick, David S and Smit, Jan H and Soranzo, Nicole and Sovio, Ulla and Stephens, Jonathan and Surakka, Ida and Swift, Amy J and Tammesoo, Mari-Liis and Tardif, Jean-Claude and Teder-Laving, Maris and Teslovich, Tanya M and Thompson, John R and Thomson, Brian and T{\"o}njes, Anke and Tuomi, Tiinamaija and van Meurs, Joyce B J and van Ommen, Gert-Jan and Vatin, Vincent and Viikari, Jorma and Visvikis-Siest, Sophie and Vitart, Veronique and Vogel, Carla I G and Voight, Benjamin F and Waite, Lindsay L and Wallaschofski, Henri and Walters, G Bragi and Widen, Elisabeth and Wiegand, Susanna and Wild, Sarah H and Willemsen, Gonneke and Witte, Daniel R and Witteman, Jacqueline C and Xu, Jianfeng and Zhang, Qunyuan and Zgaga, Lina and Ziegler, Andreas and Zitting, Paavo and Beilby, John P and Farooqi, I Sadaf and Hebebrand, Johannes and Huikuri, Heikki V and James, Alan L and K{\"a}h{\"o}nen, Mika and Levinson, Douglas F and Macciardi, Fabio and Nieminen, Markku S and Ohlsson, Claes and Palmer, Lyle J and Ridker, Paul M and Stumvoll, Michael and Beckmann, Jacques S and Boeing, Heiner and Boerwinkle, Eric and Boomsma, Dorret I and Caulfield, Mark J and Chanock, Stephen J and Collins, Francis S and Cupples, L Adrienne and Smith, George Davey and Erdmann, Jeanette and Froguel, Philippe and Gr{\"o}nberg, Henrik and Gyllensten, Ulf and Hall, Per and Hansen, Torben and Harris, Tamara B and Hattersley, Andrew T and Hayes, Richard B and Heinrich, Joachim and Hu, Frank B and Hveem, Kristian and Illig, Thomas and Jarvelin, Marjo-Riitta and Kaprio, Jaakko and Karpe, Fredrik and Khaw, Kay-Tee and Kiemeney, Lambertus A and Krude, Heiko and Laakso, Markku and Lawlor, Debbie A and Metspalu, Andres and Munroe, Patricia B and Ouwehand, Willem H and Pedersen, Oluf and Penninx, Brenda W and Peters, Annette and Pramstaller, Peter P and Quertermous, Thomas and Reinehr, Thomas and Rissanen, Aila and Rudan, Igor and Samani, Nilesh J and Schwarz, Peter E H and Shuldiner, Alan R and Spector, Timothy D and Tuomilehto, Jaakko and Uda, Manuela and Uitterlinden, Andre and Valle, Timo T and Wabitsch, Martin and Waeber, G{\'e}rard and Wareham, Nicholas J and Watkins, Hugh and Wilson, James F and Wright, Alan F and Zillikens, M Carola and Chatterjee, Nilanjan and McCarroll, Steven A and Purcell, Shaun and Schadt, Eric E and Visscher, Peter M and Assimes, Themistocles L and Borecki, Ingrid B and Deloukas, Panos and Fox, Caroline S and Groop, Leif C and Haritunians, Talin and Hunter, David J and Kaplan, Robert C and Mohlke, Karen L and O{\textquoteright}Connell, Jeffrey R and Peltonen, Leena and Schlessinger, David and Strachan, David P and van Duijn, Cornelia M and Wichmann, H-Erich and Frayling, Timothy M and Thorsteinsdottir, Unnur and Abecasis, Goncalo R and Barroso, In{\^e}s and Boehnke, Michael and Stefansson, Kari and North, Kari E and McCarthy, Mark I and Hirschhorn, Joel N and Ingelsson, Erik and Loos, Ruth J F} } @article {1197, title = {Association of genome-wide variation with the risk of incident heart failure in adults of European and African ancestry: a prospective meta-analysis from the cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium.}, journal = {Circ Cardiovasc Genet}, volume = {3}, year = {2010}, month = {2010 Jun}, pages = {256-66}, abstract = {

BACKGROUND: Although genetic factors contribute to the onset of heart failure (HF), no large-scale genome-wide investigation of HF risk has been published to date. We have investigated the association of 2,478,304 single-nucleotide polymorphisms with incident HF by meta-analyzing data from 4 community-based prospective cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study.

METHODS AND RESULTS: Eligible participants for these analyses were of European or African ancestry and free of clinical HF at baseline. Each study independently conducted genome-wide scans and imputed data to the approximately 2.5 million single-nucleotide polymorphisms in HapMap. Within each study, Cox proportional hazards regression models provided age- and sex-adjusted estimates of the association between each variant and time to incident HF. Fixed-effect meta-analyses combined results for each single-nucleotide polymorphism from the 4 cohorts to produce an overall association estimate and P value. A genome-wide significance P value threshold was set a priori at 5.0x10(-7). During a mean follow-up of 11.5 years, 2526 incident HF events (12\%) occurred in 20 926 European-ancestry participants. The meta-analysis identified a genome-wide significant locus at chromosomal position 15q22 (1.4x10(-8)), which was 58.8 kb from USP3. Among 2895 African-ancestry participants, 466 incident HF events (16\%) occurred during a mean follow-up of 13.7 years. One genome-wide significant locus was identified at 12q14 (6.7x10(-8)), which was 6.3 kb from LRIG3.

CONCLUSIONS: We identified 2 loci that were associated with incident HF and exceeded genome-wide significance. The findings merit replication in other community-based settings of incident HF.

}, keywords = {African Americans, Aged, Aged, 80 and over, Cohort Studies, Endopeptidases, European Continental Ancestry Group, Female, Genome-Wide Association Study, Heart Failure, Humans, Incidence, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk, Ubiquitin-Specific Proteases}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.109.895763}, author = {Smith, Nicholas L and Felix, Janine F and Morrison, Alanna C and Demissie, Serkalem and Glazer, Nicole L and Loehr, Laura R and Cupples, L Adrienne and Dehghan, Abbas and Lumley, Thomas and Rosamond, Wayne D and Lieb, Wolfgang and Rivadeneira, Fernando and Bis, Joshua C and Folsom, Aaron R and Benjamin, Emelia and Aulchenko, Yurii S and Haritunians, Talin and Couper, David and Murabito, Joanne and Wang, Ying A and Stricker, Bruno H and Gottdiener, John S and Chang, Patricia P and Wang, Thomas J and Rice, Kenneth M and Hofman, Albert and Heckbert, Susan R and Fox, Ervin R and O{\textquoteright}Donnell, Christopher J and Uitterlinden, Andr{\'e} G and Rotter, Jerome I and Willerson, James T and Levy, Daniel and van Duijn, Cornelia M and Psaty, Bruce M and Witteman, Jacqueline C M and Boerwinkle, Eric and Vasan, Ramachandran S} } @article {1202, title = {Associations of PM10 with sleep and sleep-disordered breathing in adults from seven U.S. urban areas.}, journal = {Am J Respir Crit Care Med}, volume = {182}, year = {2010}, month = {2010 Sep 15}, pages = {819-25}, abstract = {

RATIONALE: Sleep-disordered breathing (SDB), the recurrent episodic disruption of normal breathing during sleep, affects as much as 17\% of U.S. adults, and may be more prevalent in poor urban environments. SDB and air pollution have been linked to increased cardiovascular diseases and mortality, but the association between pollution and SDB is poorly understood.

OBJECTIVES: We used data from the Sleep Heart Health Study (SHHS), a U.S. multicenter cohort study assessing cardiovascular and other consequences of SDB, to examine whether particulate air matter less than 10 μm in aerodynamic diameter (PM(10)) was associated with SDB among persons 39 years of age and older.

METHODS: Using baseline data from SHHS urban sites, outcomes included the following: the respiratory disturbance index (RDI); percentage of sleep time at less than 90\% O(2) saturation; and sleep efficiency, measured by overnight in-home polysomnography. We applied a fixed-effect model containing a city effect, controlling for potential predictors. In all models we included both the 365-day moving averages of PM(10) and temperature (long-term effects) and the differences between the daily measures of these two predictors and their 365-day average (short-term effects).

MEASUREMENTS AND MAIN RESULTS: In summer, increases in RDI or percentage of sleep time at less than 90\% O(2) saturation, and decreases in sleep efficiency, were all associated with increases in short-term variation in PM(10). Over all seasons, we found that increased RDI was associated with an 11.5\% (95\% confidence interval: 1.96, 22.01) increase per interquartile range increase (25.5{\textdegree}F) in temperature.

CONCLUSIONS: Reduction in air pollution exposure may decrease the severity of SDB and nocturnal hypoxemia and may improve cardiac risk.

}, keywords = {Adult, Aged, Aged, 80 and over, Air Pollutants, Air Pollution, Cities, Cohort Studies, Female, Humans, Male, Middle Aged, Multicenter Studies as Topic, Particle Size, Particulate Matter, Polysomnography, Seasons, Severity of Illness Index, Sleep, Sleep Apnea Syndromes, Temperature, United States, Urban Health}, issn = {1535-4970}, doi = {10.1164/rccm.200912-1797OC}, author = {Zanobetti, Antonella and Redline, Susan and Schwartz, Joel and Rosen, Dennis and Patel, Sanjay and O{\textquoteright}Connor, George T and Lebowitz, Michael and Coull, Brent A and Gold, Diane R} } @article {1221, title = {Biological, clinical and population relevance of 95 loci for blood lipids.}, journal = {Nature}, volume = {466}, year = {2010}, month = {2010 Aug 05}, pages = {707-13}, abstract = {

Plasma concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides are among the most important risk factors for coronary artery disease (CAD) and are targets for therapeutic intervention. We screened the genome for common variants associated with plasma lipids in >100,000 individuals of European ancestry. Here we report 95 significantly associated loci (P < 5 x 10(-8)), with 59 showing genome-wide significant association with lipid traits for the first time. The newly reported associations include single nucleotide polymorphisms (SNPs) near known lipid regulators (for example, CYP7A1, NPC1L1 and SCARB1) as well as in scores of loci not previously implicated in lipoprotein metabolism. The 95 loci contribute not only to normal variation in lipid traits but also to extreme lipid phenotypes and have an impact on lipid traits in three non-European populations (East Asians, South Asians and African Americans). Our results identify several novel loci associated with plasma lipids that are also associated with CAD. Finally, we validated three of the novel genes-GALNT2, PPP1R3B and TTC39B-with experiments in mouse models. Taken together, our findings provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.

}, keywords = {African Americans, Animals, Asian Continental Ancestry Group, Cholesterol, HDL, Cholesterol, LDL, Coronary Artery Disease, Europe, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Lipid Metabolism, Lipids, Liver, Male, Mice, N-Acetylgalactosaminyltransferases, Phenotype, Polymorphism, Single Nucleotide, Protein Phosphatase 1, Reproducibility of Results, Triglycerides}, issn = {1476-4687}, doi = {10.1038/nature09270}, author = {Teslovich, Tanya M and Musunuru, Kiran and Smith, Albert V and Edmondson, Andrew C and Stylianou, Ioannis M and Koseki, Masahiro and Pirruccello, James P and Ripatti, Samuli and Chasman, Daniel I and Willer, Cristen J and Johansen, Christopher T and Fouchier, Sigrid W and Isaacs, Aaron and Peloso, Gina M and Barbalic, Maja and Ricketts, Sally L and Bis, Joshua C and Aulchenko, Yurii S and Thorleifsson, Gudmar and Feitosa, Mary F and Chambers, John and Orho-Melander, Marju and Melander, Olle and Johnson, Toby and Li, Xiaohui and Guo, Xiuqing and Li, Mingyao and Shin Cho, Yoon and Jin Go, Min and Jin Kim, Young and Lee, Jong-Young and Park, Taesung and Kim, Kyunga and Sim, Xueling and Twee-Hee Ong, Rick and Croteau-Chonka, Damien C and Lange, Leslie A and Smith, Joshua D and Song, Kijoung and Hua Zhao, Jing and Yuan, Xin and Luan, Jian{\textquoteright}an and Lamina, Claudia and Ziegler, Andreas and Zhang, Weihua and Zee, Robert Y L and Wright, Alan F and Witteman, Jacqueline C M and Wilson, James F and Willemsen, Gonneke and Wichmann, H-Erich and Whitfield, John B and Waterworth, Dawn M and Wareham, Nicholas J and Waeber, G{\'e}rard and Vollenweider, Peter and Voight, Benjamin F and Vitart, Veronique and Uitterlinden, Andr{\'e} G and Uda, Manuela and Tuomilehto, Jaakko and Thompson, John R and Tanaka, Toshiko and Surakka, Ida and Stringham, Heather M and Spector, Tim D and Soranzo, Nicole and Smit, Johannes H and Sinisalo, Juha and Silander, Kaisa and Sijbrands, Eric J G and Scuteri, Angelo and Scott, James and Schlessinger, David and Sanna, Serena and Salomaa, Veikko and Saharinen, Juha and Sabatti, Chiara and Ruokonen, Aimo and Rudan, Igor and Rose, Lynda M and Roberts, Robert and Rieder, Mark and Psaty, Bruce M and Pramstaller, Peter P and Pichler, Irene and Perola, Markus and Penninx, Brenda W J H and Pedersen, Nancy L and Pattaro, Cristian and Parker, Alex N and Par{\'e}, Guillaume and Oostra, Ben A and O{\textquoteright}Donnell, Christopher J and Nieminen, Markku S and Nickerson, Deborah A and Montgomery, Grant W and Meitinger, Thomas and McPherson, Ruth and McCarthy, Mark I and McArdle, Wendy and Masson, David and Martin, Nicholas G and Marroni, Fabio and Mangino, Massimo and Magnusson, Patrik K E and Lucas, Gavin and Luben, Robert and Loos, Ruth J F and Lokki, Marja-Liisa and Lettre, Guillaume and Langenberg, Claudia and Launer, Lenore J and Lakatta, Edward G and Laaksonen, Reijo and Kyvik, Kirsten O and Kronenberg, Florian and K{\"o}nig, Inke R and Khaw, Kay-Tee and Kaprio, Jaakko and Kaplan, Lee M and Johansson, Asa and Jarvelin, Marjo-Riitta and Janssens, A Cecile J W and Ingelsson, Erik and Igl, Wilmar and Kees Hovingh, G and Hottenga, Jouke-Jan and Hofman, Albert and Hicks, Andrew A and Hengstenberg, Christian and Heid, Iris M and Hayward, Caroline and Havulinna, Aki S and Hastie, Nicholas D and Harris, Tamara B and Haritunians, Talin and Hall, Alistair S and Gyllensten, Ulf and Guiducci, Candace and Groop, Leif C and Gonzalez, Elena and Gieger, Christian and Freimer, Nelson B and Ferrucci, Luigi and Erdmann, Jeanette and Elliott, Paul and Ejebe, Kenechi G and D{\"o}ring, Angela and Dominiczak, Anna F and Demissie, Serkalem and Deloukas, Panagiotis and de Geus, Eco J C and de Faire, Ulf and Crawford, Gabriel and Collins, Francis S and Chen, Yii-der I and Caulfield, Mark J and Campbell, Harry and Burtt, Noel P and Bonnycastle, Lori L and Boomsma, Dorret I and Boekholdt, S Matthijs and Bergman, Richard N and Barroso, In{\^e}s and Bandinelli, Stefania and Ballantyne, Christie M and Assimes, Themistocles L and Quertermous, Thomas and Altshuler, David and Seielstad, Mark and Wong, Tien Y and Tai, E-Shyong and Feranil, Alan B and Kuzawa, Christopher W and Adair, Linda S and Taylor, Herman A and Borecki, Ingrid B and Gabriel, Stacey B and Wilson, James G and Holm, Hilma and Thorsteinsdottir, Unnur and Gudnason, Vilmundur and Krauss, Ronald M and Mohlke, Karen L and Ordovas, Jose M and Munroe, Patricia B and Kooner, Jaspal S and Tall, Alan R and Hegele, Robert A and Kastelein, John J P and Schadt, Eric E and Rotter, Jerome I and Boerwinkle, Eric and Strachan, David P and Mooser, Vincent and Stefansson, Kari and Reilly, Muredach P and Samani, Nilesh J and Schunkert, Heribert and Cupples, L Adrienne and Sandhu, Manjinder S and Ridker, Paul M and Rader, Daniel J and van Duijn, Cornelia M and Peltonen, Leena and Abecasis, Goncalo R and Boehnke, Michael and Kathiresan, Sekar} } @article {1204, title = {Common genetic determinants of vitamin D insufficiency: a genome-wide association study.}, journal = {Lancet}, volume = {376}, year = {2010}, month = {2010 Jul 17}, pages = {180-8}, abstract = {

BACKGROUND: Vitamin D is crucial for maintenance of musculoskeletal health, and might also have a role in extraskeletal tissues. Determinants of circulating 25-hydroxyvitamin D concentrations include sun exposure and diet, but high heritability suggests that genetic factors could also play a part. We aimed to identify common genetic variants affecting vitamin D concentrations and risk of insufficiency.

METHODS: We undertook a genome-wide association study of 25-hydroxyvitamin D concentrations in 33 996 individuals of European descent from 15 cohorts. Five epidemiological cohorts were designated as discovery cohorts (n=16 125), five as in-silico replication cohorts (n=9367), and five as de-novo replication cohorts (n=8504). 25-hydroxyvitamin D concentrations were measured by radioimmunoassay, chemiluminescent assay, ELISA, or mass spectrometry. Vitamin D insufficiency was defined as concentrations lower than 75 nmol/L or 50 nmol/L. We combined results of genome-wide analyses across cohorts using Z-score-weighted meta-analysis. Genotype scores were constructed for confirmed variants.

FINDINGS: Variants at three loci reached genome-wide significance in discovery cohorts for association with 25-hydroxyvitamin D concentrations, and were confirmed in replication cohorts: 4p12 (overall p=1.9x10(-109) for rs2282679, in GC); 11q12 (p=2.1x10(-27) for rs12785878, near DHCR7); and 11p15 (p=3.3x10(-20) for rs10741657, near CYP2R1). Variants at an additional locus (20q13, CYP24A1) were genome-wide significant in the pooled sample (p=6.0x10(-10) for rs6013897). Participants with a genotype score (combining the three confirmed variants) in the highest quartile were at increased risk of having 25-hydroxyvitamin D concentrations lower than 75 nmol/L (OR 2.47, 95\% CI 2.20-2.78, p=2.3x10(-48)) or lower than 50 nmol/L (1.92, 1.70-2.16, p=1.0x10(-26)) compared with those in the lowest quartile.

INTERPRETATION: Variants near genes involved in cholesterol synthesis, hydroxylation, and vitamin D transport affect vitamin D status. Genetic variation at these loci identifies individuals who have substantially raised risk of vitamin D insufficiency.

FUNDING: Full funding sources listed at end of paper (see Acknowledgments).

}, keywords = {Canada, Chromosomes, Human, Pair 11, Chromosomes, Human, Pair 4, Cohort Studies, Dietary Supplements, Europe, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Heterozygote, Homozygote, Humans, Immunoassay, International Cooperation, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Seasons, United States, Vitamin D, Vitamin D Deficiency}, issn = {1474-547X}, doi = {10.1016/S0140-6736(10)60588-0}, author = {Wang, Thomas J and Zhang, Feng and Richards, J Brent and Kestenbaum, Bryan and van Meurs, Joyce B and Berry, Diane and Kiel, Douglas P and Streeten, Elizabeth A and Ohlsson, Claes and Koller, Daniel L and Peltonen, Leena and Cooper, Jason D and O{\textquoteright}Reilly, Paul F and Houston, Denise K and Glazer, Nicole L and Vandenput, Liesbeth and Peacock, Munro and Shi, Julia and Rivadeneira, Fernando and McCarthy, Mark I and Anneli, Pouta and de Boer, Ian H and Mangino, Massimo and Kato, Bernet and Smyth, Deborah J and Booth, Sarah L and Jacques, Paul F and Burke, Greg L and Goodarzi, Mark and Cheung, Ching-Lung and Wolf, Myles and Rice, Kenneth and Goltzman, David and Hidiroglou, Nick and Ladouceur, Martin and Wareham, Nicholas J and Hocking, Lynne J and Hart, Deborah and Arden, Nigel K and Cooper, Cyrus and Malik, Suneil and Fraser, William D and Hartikainen, Anna-Liisa and Zhai, Guangju and Macdonald, Helen M and Forouhi, Nita G and Loos, Ruth J F and Reid, David M and Hakim, Alan and Dennison, Elaine and Liu, Yongmei and Power, Chris and Stevens, Helen E and Jaana, Laitinen and Vasan, Ramachandran S and Soranzo, Nicole and Bojunga, J{\"o}rg and Psaty, Bruce M and Lorentzon, Mattias and Foroud, Tatiana and Harris, Tamara B and Hofman, Albert and Jansson, John-Olov and Cauley, Jane A and Uitterlinden, Andr{\'e} G and Gibson, Quince and Jarvelin, Marjo-Riitta and Karasik, David and Siscovick, David S and Econs, Michael J and Kritchevsky, Stephen B and Florez, Jose C and Todd, John A and Dupuis, Jos{\'e}e and Hypp{\"o}nen, Elina and Spector, Timothy D} } @article {1244, title = {Common variants in 22 loci are associated with QRS duration and cardiac ventricular conduction.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Dec}, pages = {1068-76}, abstract = {

The QRS interval, from the beginning of the Q wave to the end of the S wave on an electrocardiogram, reflects ventricular depolarization and conduction time and is a risk factor for mortality, sudden death and heart failure. We performed a genome-wide association meta-analysis in 40,407 individuals of European descent from 14 studies, with further genotyping in 7,170 additional Europeans, and we identified 22 loci associated with QRS duration (P < 5 {\texttimes} 10(-8)). These loci map in or near genes in pathways with established roles in ventricular conduction such as sodium channels, transcription factors and calcium-handling proteins, but also point to previously unidentified biologic processes, such as kinase inhibitors and genes related to tumorigenesis. We demonstrate that SCN10A, a candidate gene at the most significantly associated locus in this study, is expressed in the mouse ventricular conduction system, and treatment with a selective SCN10A blocker prolongs QRS duration. These findings extend our current knowledge of ventricular depolarization and conduction.

}, keywords = {Animals, Animals, Newborn, Chromosomes, Human, Computational Biology, Electrocardiography, Genetic Loci, Genome-Wide Association Study, Heart Conduction System, Humans, Mice, Mice, Transgenic, Models, Animal, Myocytes, Cardiac, NAV1.8 Voltage-Gated Sodium Channel, Polymorphism, Single Nucleotide, Sodium Channels}, issn = {1546-1718}, doi = {10.1038/ng.716}, author = {Sotoodehnia, Nona and Isaacs, Aaron and de Bakker, Paul I W and D{\"o}rr, Marcus and Newton-Cheh, Christopher and Nolte, Ilja M and van der Harst, Pim and M{\"u}ller, Martina and Eijgelsheim, Mark and Alonso, Alvaro and Hicks, Andrew A and Padmanabhan, Sandosh and Hayward, Caroline and Smith, Albert Vernon and Polasek, Ozren and Giovannone, Steven and Fu, Jingyuan and Magnani, Jared W and Marciante, Kristin D and Pfeufer, Arne and Gharib, Sina A and Teumer, Alexander and Li, Man and Bis, Joshua C and Rivadeneira, Fernando and Aspelund, Thor and K{\"o}ttgen, Anna and Johnson, Toby and Rice, Kenneth and Sie, Mark P S and Wang, Ying A and Klopp, Norman and Fuchsberger, Christian and Wild, Sarah H and Mateo Leach, Irene and Estrada, Karol and V{\"o}lker, Uwe and Wright, Alan F and Asselbergs, Folkert W and Qu, Jiaxiang and Chakravarti, Aravinda and Sinner, Moritz F and Kors, Jan A and Petersmann, Astrid and Harris, Tamara B and Soliman, Elsayed Z and Munroe, Patricia B and Psaty, Bruce M and Oostra, Ben A and Cupples, L Adrienne and Perz, Siegfried and de Boer, Rudolf A and Uitterlinden, Andr{\'e} G and V{\"o}lzke, Henry and Spector, Timothy D and Liu, Fang-Yu and Boerwinkle, Eric and Dominiczak, Anna F and Rotter, Jerome I and van Herpen, G{\'e} and Levy, Daniel and Wichmann, H-Erich and van Gilst, Wiek H and Witteman, Jacqueline C M and Kroemer, Heyo K and Kao, W H Linda and Heckbert, Susan R and Meitinger, Thomas and Hofman, Albert and Campbell, Harry and Folsom, Aaron R and van Veldhuisen, Dirk J and Schwienbacher, Christine and O{\textquoteright}Donnell, Christopher J and Volpato, Claudia Beu and Caulfield, Mark J and Connell, John M and Launer, Lenore and Lu, Xiaowen and Franke, Lude and Fehrmann, Rudolf S N and te Meerman, Gerard and Groen, Harry J M and Weersma, Rinse K and van den Berg, Leonard H and Wijmenga, Cisca and Ophoff, Roel A and Navis, Gerjan and Rudan, Igor and Snieder, Harold and Wilson, James F and Pramstaller, Peter P and Siscovick, David S and Wang, Thomas J and Gudnason, Vilmundur and van Duijn, Cornelia M and Felix, Stephan B and Fishman, Glenn I and Jamshidi, Yalda and Stricker, Bruno H Ch and Samani, Nilesh J and K{\"a}{\"a}b, Stefan and Arking, Dan E} } @article {1224, title = {Common variants in the calcium-sensing receptor gene are associated with total serum calcium levels.}, journal = {Hum Mol Genet}, volume = {19}, year = {2010}, month = {2010 Nov 01}, pages = {4296-303}, abstract = {

Serum calcium levels are tightly regulated. We performed genome-wide association studies (GWAS) in population-based studies participating in the CHARGE Consortium to uncover common genetic variations associated with total serum calcium levels. GWAS of serum calcium concentrations was performed in 20 611 individuals of European ancestry for \~{}2.5 million genotyped and imputed single-nucleotide polymorphisms (SNPs). The SNP with the lowest P-value was rs17251221 (P = 2.4 * 10(-22), minor allele frequency 14\%) in the calcium-sensing receptor gene (CASR). This lead SNP was associated with higher serum calcium levels [0.06 mg/dl (0.015 mmol/l) per copy of the minor G allele] and accounted for 0.54\% of the variance in serum calcium concentrations. The identification of variation in CASR that influences serum calcium concentration confirms the results of earlier candidate gene studies. The G allele of rs17251221 was also associated with higher serum magnesium levels (P = 1.2 * 10(-3)), lower serum phosphate levels (P = 2.8 * 10(-7)) and lower bone mineral density at the lumbar spine (P = 0.038), but not the femoral neck. No additional genomic loci contained SNPs associated at genome-wide significance (P < 5 * 10(-8)). These associations resemble clinical characteristics of patients with familial hypocalciuric hypercalcemia, an autosomal-dominant disease arising from rare inactivating mutations in the CASR gene. We conclude that common genetic variation in the CASR gene is associated with similar but milder features in the general population.

}, keywords = {Adult, Calcium, Female, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Receptors, Calcium-Sensing}, issn = {1460-2083}, doi = {10.1093/hmg/ddq342}, author = {O{\textquoteright}Seaghdha, Conall M and Yang, Qiong and Glazer, Nicole L and Leak, Tennille S and Dehghan, Abbas and Smith, Albert V and Kao, W H Linda and Lohman, Kurt and Hwang, Shih-Jen and Johnson, Andrew D and Hofman, Albert and Uitterlinden, Andr{\'e} G and Chen, Yii-Der Ida and Brown, Edward M and Siscovick, David S and Harris, Tamara B and Psaty, Bruce M and Coresh, Josef and Gudnason, Vilmundur and Witteman, Jacqueline C and Liu, Yong Mei and Kestenbaum, Bryan R and Fox, Caroline S and K{\"o}ttgen, Anna} } @article {1147, title = {CRP gene variation and risk of community-acquired pneumonia.}, journal = {Respirology}, volume = {15}, year = {2010}, month = {2010 Jan}, pages = {160-4}, abstract = {

BACKGROUND AND OBJECTIVE: CRP has several potentially antibacterial effects, and variation in the CRP gene is known to influence CRP levels. Whether this variation influences risk of infection, and hence whether CRP has anti-infective activity in humans, is uncertain.

METHODS: We evaluated a series of haplotype-tagging single nucleotide polymorphisms among 5374 individuals in the Cardiovascular Health Study, a cohort of older adults from four communities, who were followed for community-acquired pneumonia for 12-13 years. Secondarily, we evaluated whether these polymorphisms varied among men in the Health Professionals Follow-up Study who self-reported pneumonia on biennial questionnaires.

RESULTS: There were 581 (507 white and 74 black) Cardiovascular Health Study participants with incident hospitalizations for pneumonia. No single nucleotide polymorphism or haplotypes were associated with risk among white Cardiovascular Health Study participants. Among black participants, the haplotype tagged by A790T was associated with lower risk of incident pneumonia (hazard ratio 0.5; 95\% confidence interval: 0.3-0.9) and with higher CRP levels. In Health Professionals Follow-up Study, a separate haplotype was associated with less frequent self-reported pneumonia but not with circulating CRP levels.

CONCLUSIONS: Some genetic variants in CRP may be associated with risk of pneumonia, but haplotypes associated with risk are variably associated with baseline CRP levels. If CRP is a relevant component of innate immunity in humans, the inducibility or tissue-specificity of expression may be at least as important as chronic circulating levels.

}, keywords = {African Americans, Aged, Aged, 80 and over, Body Mass Index, C-Reactive Protein, Cohort Studies, Community-Acquired Infections, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Haplotypes, Humans, Male, Pneumonia, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, Smoking}, issn = {1440-1843}, doi = {10.1111/j.1440-1843.2009.01661.x}, author = {Mukamal, Kenneth J and Pai, Jennifer K and O{\textquoteright}Meara, Ellen S and Tracy, Russell P and Psaty, Bruce M and Kuller, Lewis H and Newman, Anne B and Yende, Sachin and Curhan, Gary C and Siscovick, David S and Rimm, Eric B} } @article {1240, title = {Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies.}, journal = {PLoS One}, volume = {5}, year = {2010}, month = {2010 Oct 18}, pages = {e13405}, abstract = {

OBJECTIVE: Biological evidence suggests that inflammation might induce type 2 diabetes (T2D), and epidemiological studies have shown an association between higher white blood cell count (WBC) and T2D. However, the association has not been systematically investigated.

RESEARCH DESIGN AND METHODS: Studies were identified through computer-based and manual searches. Previously unreported studies were sought through correspondence. 20 studies were identified (8,647 T2D cases and 85,040 non-cases). Estimates of the association of WBC with T2D were combined using random effects meta-analysis; sources of heterogeneity as well as presence of publication bias were explored.

RESULTS: The combined relative risk (RR) comparing the top to bottom tertile of the WBC count was 1.61 (95\% CI: 1.45; 1.79, p = 1.5*10(-18)). Substantial heterogeneity was present (I(2) = 83\%). For granulocytes the RR was 1.38 (95\% CI: 1.17; 1.64, p = 1.5*10(-4)), for lymphocytes 1.26 (95\% CI: 1.02; 1.56, p = 0.029), and for monocytes 0.93 (95\% CI: 0.68; 1.28, p = 0.67) comparing top to bottom tertile. In cross-sectional studies, RR was 1.74 (95\% CI: 1.49; 2.02, p = 7.7*10(-13)), while in cohort studies it was 1.48 (95\% CI: 1.22; 1.79, p = 7.7*10(-5)). We assessed the impact of confounding in EPIC-Norfolk study and found that the age and sex adjusted HR of 2.19 (95\% CI: 1.74; 2.75) was attenuated to 1.82 (95\% CI: 1.45; 2.29) after further accounting for smoking, T2D family history, physical activity, education, BMI and waist circumference.

CONCLUSIONS: A raised WBC is associated with higher risk of T2D. The presence of publication bias and failure to control for all potential confounders in all studies means the observed association is likely an overestimate.

}, keywords = {Adult, Aged, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Female, Humans, Leukocyte Count, Male, Middle Aged, Prospective Studies}, issn = {1932-6203}, doi = {10.1371/journal.pone.0013405}, author = {Gkrania-Klotsas, Effrossyni and Ye, Zheng and Cooper, Andrew J and Sharp, Stephen J and Luben, Robert and Biggs, Mary L and Chen, Liang-Kung and Gokulakrishnan, Kuppan and Hanefeld, Markolf and Ingelsson, Erik and Lai, Wen-An and Lin, Shih-Yi and Lind, Lars and Lohsoonthorn, Vitool and Mohan, Viswanathan and Muscari, Antonio and Nilsson, Goran and Ohrvik, John and Chao Qiang, Jiang and Jenny, Nancy Swords and Tamakoshi, Koji and Temelkova-Kurktschiev, Theodora and Wang, Ya-Yu and Yajnik, Chittaranjan Sakerlal and Zoli, Marco and Khaw, Kay-Tee and Forouhi, Nita G and Wareham, Nicholas J and Langenberg, Claudia} } @article {1218, title = {Genetic ancestry in lung-function predictions.}, journal = {N Engl J Med}, volume = {363}, year = {2010}, month = {2010 Jul 22}, pages = {321-30}, abstract = {

BACKGROUND: Self-identified race or ethnic group is used to determine normal reference standards in the prediction of pulmonary function. We conducted a study to determine whether the genetically determined percentage of African ancestry is associated with lung function and whether its use could improve predictions of lung function among persons who identified themselves as African American.

METHODS: We assessed the ancestry of 777 participants self-identified as African American in the Coronary Artery Risk Development in Young Adults (CARDIA) study and evaluated the relation between pulmonary function and ancestry by means of linear regression. We performed similar analyses of data for two independent cohorts of subjects identifying themselves as African American: 813 participants in the Health, Aging, and Body Composition (HABC) study and 579 participants in the Cardiovascular Health Study (CHS). We compared the fit of two types of models to lung-function measurements: models based on the covariates used in standard prediction equations and models incorporating ancestry. We also evaluated the effect of the ancestry-based models on the classification of disease severity in two asthma-study populations.

RESULTS: African ancestry was inversely related to forced expiratory volume in 1 second (FEV(1)) and forced vital capacity in the CARDIA cohort. These relations were also seen in the HABC and CHS cohorts. In predicting lung function, the ancestry-based model fit the data better than standard models. Ancestry-based models resulted in the reclassification of asthma severity (based on the percentage of the predicted FEV(1)) in 4 to 5\% of participants.

CONCLUSIONS: Current predictive equations, which rely on self-identified race alone, may misestimate lung function among subjects who identify themselves as African American. Incorporating ancestry into normative equations may improve lung-function estimates and more accurately categorize disease severity. (Funded by the National Institutes of Health and others.)

}, keywords = {Adolescent, Adult, African Americans, Aged, Aged, 80 and over, Female, Forced Expiratory Volume, Genetic Markers, Genotype, Humans, Linear Models, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Reference Values, Respiratory Function Tests, Vital Capacity, Young Adult}, issn = {1533-4406}, doi = {10.1056/NEJMoa0907897}, author = {Kumar, Rajesh and Seibold, Max A and Aldrich, Melinda C and Williams, L Keoki and Reiner, Alex P and Colangelo, Laura and Galanter, Joshua and Gignoux, Christopher and Hu, Donglei and Sen, Saunak and Choudhry, Shweta and Peterson, Edward L and Rodriguez-Santana, Jose and Rodriguez-Cintron, William and Nalls, Michael A and Leak, Tennille S and O{\textquoteright}Meara, Ellen and Meibohm, Bernd and Kritchevsky, Stephen B and Li, Rongling and Harris, Tamara B and Nickerson, Deborah A and Fornage, Myriam and Enright, Paul and Ziv, Elad and Smith, Lewis J and Liu, Kiang and Burchard, Esteban Gonz{\'a}lez} } @article {1199, title = {Genome-wide analysis of genetic loci associated with Alzheimer disease.}, journal = {JAMA}, volume = {303}, year = {2010}, month = {2010 May 12}, pages = {1832-40}, abstract = {

CONTEXT: Genome-wide association studies (GWAS) have recently identified CLU, PICALM, and CR1 as novel genes for late-onset Alzheimer disease (AD).

OBJECTIVES: To identify and strengthen additional loci associated with AD and confirm these in an independent sample and to examine the contribution of recently identified genes to AD risk prediction in a 3-stage analysis of new and previously published GWAS on more than 35,000 persons (8371 AD cases).

DESIGN, SETTING, AND PARTICIPANTS: In stage 1, we identified strong genetic associations (P < 10(-3)) in a sample of 3006 AD cases and 14,642 controls by combining new data from the population-based Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (1367 AD cases [973 incident]) with previously reported results from the Translational Genomics Research Institute and the Mayo AD GWAS. We identified 2708 single-nucleotide polymorphisms (SNPs) with P < 10(-3). In stage 2, we pooled results for these SNPs with the European AD Initiative (2032 cases and 5328 controls) to identify 38 SNPs (10 loci) with P < 10(-5). In stage 3, we combined data for these 10 loci with data from the Genetic and Environmental Risk in AD consortium (3333 cases and 6995 controls) to identify 4 SNPs with P < 1.7x10(-8). These 4 SNPs were replicated in an independent Spanish sample (1140 AD cases and 1209 controls). Genome-wide association analyses were completed in 2007-2008 and the meta-analyses and replication in 2009.

MAIN OUTCOME MEASURE: Presence of Alzheimer disease.

RESULTS: Two loci were identified to have genome-wide significance for the first time: rs744373 near BIN1 (odds ratio [OR],1.13; 95\% confidence interval [CI],1.06-1.21 per copy of the minor allele; P = 1.59x10(-11)) and rs597668 near EXOC3L2/BLOC1S3/MARK4 (OR, 1.18; 95\% CI, 1.07-1.29; P = 6.45x10(-9)). Associations of these 2 loci plus the previously identified loci CLU and PICALM with AD were confirmed in the Spanish sample (P < .05). However, although CLU and PICALM were confirmed to be associated with AD in this independent sample, they did not improve the ability of a model that included age, sex, and APOE to predict incident AD (improvement in area under the receiver operating characteristic curve from 0.847 to 0.849 in the Rotterdam Study and 0.702 to 0.705 in the Cardiovascular Health Study).

CONCLUSIONS: Two genetic loci for AD were found for the first time to reach genome-wide statistical significance. These findings were replicated in an independent population. Two recently reported associations were also confirmed. These loci did not improve AD risk prediction. While not clinically useful, they may implicate biological pathways useful for future research.

}, keywords = {Age of Onset, Aged, Alzheimer Disease, Case-Control Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Odds Ratio, Polymorphism, Single Nucleotide}, issn = {1538-3598}, doi = {10.1001/jama.2010.574}, author = {Seshadri, Sudha and Fitzpatrick, Annette L and Ikram, M Arfan and DeStefano, Anita L and Gudnason, Vilmundur and Boada, Merce and Bis, Joshua C and Smith, Albert V and Carassquillo, Minerva M and Lambert, Jean Charles and Harold, Denise and Schrijvers, Elisabeth M C and Ramirez-Lorca, Reposo and Debette, Stephanie and Longstreth, W T and Janssens, A Cecile J W and Pankratz, V Shane and Dartigues, Jean Fran{\c c}ois and Hollingworth, Paul and Aspelund, Thor and Hernandez, Isabel and Beiser, Alexa and Kuller, Lewis H and Koudstaal, Peter J and Dickson, Dennis W and Tzourio, Christophe and Abraham, Richard and Antunez, Carmen and Du, Yangchun and Rotter, Jerome I and Aulchenko, Yurii S and Harris, Tamara B and Petersen, Ronald C and Berr, Claudine and Owen, Michael J and Lopez-Arrieta, Jesus and Varadarajan, Badri N and Becker, James T and Rivadeneira, Fernando and Nalls, Michael A and Graff-Radford, Neill R and Campion, Dominique and Auerbach, Sanford and Rice, Kenneth and Hofman, Albert and Jonsson, Palmi V and Schmidt, Helena and Lathrop, Mark and Mosley, Thomas H and Au, Rhoda and Psaty, Bruce M and Uitterlinden, Andr{\'e} G and Farrer, Lindsay A and Lumley, Thomas and Ruiz, Agustin and Williams, Julie and Amouyel, Philippe and Younkin, Steve G and Wolf, Philip A and Launer, Lenore J and Lopez, Oscar L and van Duijn, Cornelia M and Breteler, Monique M B} } @article {1217, title = {Genome-wide association analysis identifies multiple loci related to resting heart rate.}, journal = {Hum Mol Genet}, volume = {19}, year = {2010}, month = {2010 Oct 01}, pages = {3885-94}, abstract = {

Higher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. This knowledge can impact clinical care by identifying novel factors that influence pathologic heart rate states, modulate heart rate through cardiac structure and function or by improving our understanding of the physiology of heart rate regulation. To identify common genetic variants associated with heart rate, we performed a meta-analysis of 15 genome-wide association studies (GWAS), including 38,991 subjects of European ancestry, estimating the association between age-, sex- and body mass-adjusted RR interval (inverse heart rate) and approximately 2.5 million markers. Results with P < 5 {\texttimes} 10(-8) were considered genome-wide significant. We constructed regression models with multiple markers to assess whether results at less stringent thresholds were likely to be truly associated with RR interval. We identified six novel associations with resting heart rate at six loci: 6q22 near GJA1; 14q12 near MYH7; 12p12 near SOX5, c12orf67, BCAT1, LRMP and CASC1; 6q22 near SLC35F1, PLN and c6orf204; 7q22 near SLC12A9 and UfSp1; and 11q12 near FADS1. Associations at 6q22 400 kb away from GJA1, at 14q12 MYH6 and at 1q32 near CD34 identified in previously published GWAS were confirmed. In aggregate, these variants explain approximately 0.7\% of RR interval variance. A multivariant regression model including 20 variants with P < 10(-5) increased the explained variance to 1.6\%, suggesting that some loci falling short of genome-wide significance are likely truly associated. Future research is warranted to elucidate underlying mechanisms that may impact clinical care.

}, keywords = {Adult, Aged, Base Pairing, Cohort Studies, Female, Genetic Loci, Genome, Human, Genome-Wide Association Study, Heart Rate, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Rest}, issn = {1460-2083}, doi = {10.1093/hmg/ddq303}, author = {Eijgelsheim, Mark and Newton-Cheh, Christopher and Sotoodehnia, Nona and de Bakker, Paul I W and M{\"u}ller, Martina and Morrison, Alanna C and Smith, Albert V and Isaacs, Aaron and Sanna, Serena and D{\"o}rr, Marcus and Navarro, Pau and Fuchsberger, Christian and Nolte, Ilja M and de Geus, Eco J C and Estrada, Karol and Hwang, Shih-Jen and Bis, Joshua C and R{\"u}ckert, Ina-Maria and Alonso, Alvaro and Launer, Lenore J and Hottenga, Jouke Jan and Rivadeneira, Fernando and Noseworthy, Peter A and Rice, Kenneth M and Perz, Siegfried and Arking, Dan E and Spector, Tim D and Kors, Jan A and Aulchenko, Yurii S and Tarasov, Kirill V and Homuth, Georg and Wild, Sarah H and Marroni, Fabio and Gieger, Christian and Licht, Carmilla M and Prineas, Ronald J and Hofman, Albert and Rotter, Jerome I and Hicks, Andrew A and Ernst, Florian and Najjar, Samer S and Wright, Alan F and Peters, Annette and Fox, Ervin R and Oostra, Ben A and Kroemer, Heyo K and Couper, David and V{\"o}lzke, Henry and Campbell, Harry and Meitinger, Thomas and Uda, Manuela and Witteman, Jacqueline C M and Psaty, Bruce M and Wichmann, H-Erich and Harris, Tamara B and K{\"a}{\"a}b, Stefan and Siscovick, David S and Jamshidi, Yalda and Uitterlinden, Andr{\'e} G and Folsom, Aaron R and Larson, Martin G and Wilson, James F and Penninx, Brenda W and Snieder, Harold and Pramstaller, Peter P and van Duijn, Cornelia M and Lakatta, Edward G and Felix, Stephan B and Gudnason, Vilmundur and Pfeufer, Arne and Heckbert, Susan R and Stricker, Bruno H Ch and Boerwinkle, Eric and O{\textquoteright}Donnell, Christopher J} } @article {1174, title = {Genome-wide association identifies multiple ulcerative colitis susceptibility loci.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Apr}, pages = {332-7}, abstract = {

Ulcerative colitis is a chronic, relapsing inflammatory condition of the gastrointestinal tract with a complex genetic and environmental etiology. In an effort to identify genetic variation underlying ulcerative colitis risk, we present two distinct genome-wide association studies of ulcerative colitis and their joint analysis with a previously published scan, comprising, in aggregate, 2,693 individuals with ulcerative colitis and 6,791 control subjects. Fifty-nine SNPs from 14 independent loci attained an association significance of P < 10(-5). Seven of these loci exceeded genome-wide significance (P < 5 x 10(-8)). After testing an independent cohort of 2,009 cases of ulcerative colitis and 1,580 controls, we identified 13 loci that were significantly associated with ulcerative colitis (P < 5 x 10(-8)), including the immunoglobulin receptor gene FCGR2A, 5p15, 2p16 and ORMDL3 (orosomucoid1-like 3). We confirmed association with 14 previously identified ulcerative colitis susceptibility loci, and an analysis of acknowledged Crohn{\textquoteright}s disease loci showed that roughly half of the known Crohn{\textquoteright}s disease associations are shared with ulcerative colitis. These data implicate approximately 30 loci in ulcerative colitis, thereby providing insight into disease pathogenesis.

}, keywords = {Colitis, Ulcerative, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Membrane Proteins, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Receptors, IgG}, issn = {1546-1718}, doi = {10.1038/ng.549}, author = {McGovern, Dermot P B and Gardet, Agn{\`e}s and T{\"o}rkvist, Leif and Goyette, Philippe and Essers, Jonah and Taylor, Kent D and Neale, Benjamin M and Ong, Rick T H and Lagac{\'e}, Caroline and Li, Chun and Green, Todd and Stevens, Christine R and Beauchamp, Claudine and Fleshner, Phillip R and Carlson, Marie and D{\textquoteright}Amato, Mauro and Halfvarson, Jonas and Hibberd, Martin L and L{\"o}rdal, Mikael and Padyukov, Leonid and Andriulli, Angelo and Colombo, Elisabetta and Latiano, Anna and Palmieri, Orazio and Bernard, Edmond-Jean and Deslandres, Colette and Hommes, Daan W and de Jong, Dirk J and Stokkers, Pieter C and Weersma, Rinse K and Sharma, Yashoda and Silverberg, Mark S and Cho, Judy H and Wu, Jing and Roeder, Kathryn and Brant, Steven R and Schumm, L Phillip and Duerr, Richard H and Dubinsky, Marla C and Glazer, Nicole L and Haritunians, Talin and Ippoliti, Andy and Melmed, Gil Y and Siscovick, David S and Vasiliauskas, Eric A and Targan, Stephan R and Annese, Vito and Wijmenga, Cisca and Pettersson, Sven and Rotter, Jerome I and Xavier, Ramnik J and Daly, Mark J and Rioux, John D and Seielstad, Mark} } @article {1182, title = {Genome-wide association study identifies GPC5 as a novel genetic locus protective against sudden cardiac arrest.}, journal = {PLoS One}, volume = {5}, year = {2010}, month = {2010 Mar 25}, pages = {e9879}, abstract = {

BACKGROUND: Existing studies indicate a significant genetic component for sudden cardiac arrest (SCA) and genome-wide association studies (GWAS) provide an unbiased approach for identification of novel genes. We performed a GWAS to identify genetic determinants of SCA.

METHODOLOGY/PRINCIPAL FINDINGS: We used a case-control design within the ongoing Oregon Sudden Unexpected Death Study (Oregon-SUDS). Cases (n = 424) were SCAs with coronary artery disease (CAD) among residents of Portland, OR (2002-07, population approximately 1,000,000) and controls (n = 226) were residents with CAD, but no history of SCA. All subjects were of White-European ancestry and GWAS was performed using Affymetrix 500K/5.0 and 6.0 arrays. High signal markers were genotyped in SCA cases (n = 521) identified from the Atherosclerosis Risk in Communities Study (ARIC) and the Cardiovascular Health Study (CHS) (combined n = 19,611). No SNPs reached genome-wide significance (p<5x10(-8)). SNPs at 6 loci were prioritized for follow-up primarily based on significance of p<10(-4) and proximity to a known gene (CSMD2, GPR37L1, LIN9, B4GALNT3, GPC5, and ZNF592). The minor allele of GPC5 (GLYPICAN 5, rs3864180) was associated with a lower risk of SCA in Oregon-SUDS, an effect that was also observed in ARIC/CHS whites (p<0.05) and blacks (p<0.04). In a combined Cox proportional hazards model analysis that adjusted for race, the minor allele exhibited a hazard ratio of 0.85 (95\% CI 0.74 to 0.98; p<0.01).

CONCLUSIONS/SIGNIFICANCE: A novel genetic locus for SCA, GPC5, was identified from Oregon-SUDS and successfully validated in the ARIC and CHS cohorts. Three other members of the Glypican family have been previously implicated in human disease, including cardiac conditions. The mechanism of this specific association requires further study.

}, keywords = {Aged, Alleles, Case-Control Studies, Cohort Studies, Death, Sudden, Cardiac, Ethnic Groups, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Glypicans, Heart Diseases, Humans, Male, Middle Aged, Models, Genetic, Oligonucleotide Array Sequence Analysis, Oregon, Polymorphism, Single Nucleotide}, issn = {1932-6203}, doi = {10.1371/journal.pone.0009879}, author = {Arking, Dan E and Reinier, Kyndaron and Post, Wendy and Jui, Jonathan and Hilton, Gina and O{\textquoteright}Connor, Ashley and Prineas, Ronald J and Boerwinkle, Eric and Psaty, Bruce M and Tomaselli, Gordon F and Rea, Thomas and Sotoodehnia, Nona and Siscovick, David S and Burke, Gregory L and Marb{\'a}n, Eduardo and Spooner, Peter M and Chakravarti, Aravinda and Chugh, Sumeet S} } @article {1187, title = {Genomic variation associated with mortality among adults of European and African ancestry with heart failure: the cohorts for heart and aging research in genomic epidemiology consortium.}, journal = {Circ Cardiovasc Genet}, volume = {3}, year = {2010}, month = {2010 Jun}, pages = {248-55}, abstract = {

BACKGROUND: Prognosis and survival are significant concerns for individuals with heart failure (HF). To better understand the pathophysiology of HF prognosis, the association between 2,366,858 single-nucleotide polymorphisms (SNPs) and all-cause mortality was evaluated among individuals with incident HF from 4 community-based prospective cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study.

METHODS AND RESULTS: Participants were 2526 individuals of European ancestry and 466 individuals of African ancestry who experienced an incident HF event during follow-up in the respective cohorts. Within each study, the association between genetic variants and time to mortality among individuals with HF was assessed by Cox proportional hazards models that included adjustment for sex and age at the time of the HF event. Prospective fixed-effect meta-analyses were conducted for the 4 study populations of European ancestry (N=1645 deaths) and for the 2 populations of African ancestry (N=281 deaths). Genome-wide significance was set at P=5.0x10(-7). Meta-analytic findings among individuals of European ancestry revealed 1 genome-wide significant locus on chromosome 3p22 in an intron of CKLF-like MARVEL transmembrane domain containing 7 (CMTM7, P=3.2x10(-7)). Eight additional loci in individuals of European ancestry and 4 loci in individuals of African ancestry were identified by high-signal SNPs (P<1.0x10(-5)) but did not meet genome-wide significance.

CONCLUSIONS: This study identified a novel locus associated with all-cause mortality among individuals of European ancestry with HF. This finding warrants additional investigation, including replication, in other studies of HF.

}, keywords = {African Americans, Aged, Aged, 80 and over, Chemokines, Cohort Studies, European Continental Ancestry Group, Female, Genome-Wide Association Study, Genotype, Heart Failure, Humans, Introns, Male, MARVEL Domain-Containing Proteins, Membrane Proteins, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.109.895995}, author = {Morrison, Alanna C and Felix, Janine F and Cupples, L Adrienne and Glazer, Nicole L and Loehr, Laura R and Dehghan, Abbas and Demissie, Serkalem and Bis, Joshua C and Rosamond, Wayne D and Aulchenko, Yurii S and Wang, Ying A and Haritunians, Talin and Folsom, Aaron R and Rivadeneira, Fernando and Benjamin, Emelia J and Lumley, Thomas and Couper, David and Stricker, Bruno H and O{\textquoteright}Donnell, Christopher J and Rice, Kenneth M and Chang, Patricia P and Hofman, Albert and Levy, Daniel and Rotter, Jerome I and Fox, Ervin R and Uitterlinden, Andr{\'e} G and Wang, Thomas J and Psaty, Bruce M and Willerson, James T and van Duijn, Cornelia M and Boerwinkle, Eric and Witteman, Jacqueline C M and Vasan, Ramachandran S and Smith, Nicholas L} } @article {1234, title = {Hundreds of variants clustered in genomic loci and biological pathways affect human height.}, journal = {Nature}, volume = {467}, year = {2010}, month = {2010 Oct 14}, pages = {832-8}, abstract = {

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10\% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16\% of phenotypic variation (approximately 20\% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

}, keywords = {Body Height, Chromosomes, Human, Pair 3, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Metabolic Networks and Pathways, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide}, issn = {1476-4687}, doi = {10.1038/nature09410}, author = {Lango Allen, Hana and Estrada, Karol and Lettre, Guillaume and Berndt, Sonja I and Weedon, Michael N and Rivadeneira, Fernando and Willer, Cristen J and Jackson, Anne U and Vedantam, Sailaja and Raychaudhuri, Soumya and Ferreira, Teresa and Wood, Andrew R and Weyant, Robert J and Segr{\`e}, Ayellet V and Speliotes, Elizabeth K and Wheeler, Eleanor and Soranzo, Nicole and Park, Ju-Hyun and Yang, Jian and Gudbjartsson, Daniel and Heard-Costa, Nancy L and Randall, Joshua C and Qi, Lu and Vernon Smith, Albert and M{\"a}gi, Reedik and Pastinen, Tomi and Liang, Liming and Heid, Iris M and Luan, Jian{\textquoteright}an and Thorleifsson, Gudmar and Winkler, Thomas W and Goddard, Michael E and Sin Lo, Ken and Palmer, Cameron and Workalemahu, Tsegaselassie and Aulchenko, Yurii S and Johansson, Asa and Zillikens, M Carola and Feitosa, Mary F and Esko, T{\~o}nu and Johnson, Toby and Ketkar, Shamika and Kraft, Peter and Mangino, Massimo and Prokopenko, Inga and Absher, Devin and Albrecht, Eva and Ernst, Florian and Glazer, Nicole L and Hayward, Caroline and Hottenga, Jouke-Jan and Jacobs, Kevin B and Knowles, Joshua W and Kutalik, Zolt{\'a}n and Monda, Keri L and Polasek, Ozren and Preuss, Michael and Rayner, Nigel W and Robertson, Neil R and Steinthorsdottir, Valgerdur and Tyrer, Jonathan P and Voight, Benjamin F and Wiklund, Fredrik and Xu, Jianfeng and Zhao, Jing Hua and Nyholt, Dale R and Pellikka, Niina and Perola, Markus and Perry, John R B and Surakka, Ida and Tammesoo, Mari-Liis and Altmaier, Elizabeth L and Amin, Najaf and Aspelund, Thor and Bhangale, Tushar and Boucher, Gabrielle and Chasman, Daniel I and Chen, Constance and Coin, Lachlan and Cooper, Matthew N and Dixon, Anna L and Gibson, Quince and Grundberg, Elin and Hao, Ke and Juhani Junttila, M and Kaplan, Lee M and Kettunen, Johannes and K{\"o}nig, Inke R and Kwan, Tony and Lawrence, Robert W and Levinson, Douglas F and Lorentzon, Mattias and McKnight, Barbara and Morris, Andrew P and M{\"u}ller, Martina and Suh Ngwa, Julius and Purcell, Shaun and Rafelt, Suzanne and Salem, Rany M and Salvi, Erika and Sanna, Serena and Shi, Jianxin and Sovio, Ulla and Thompson, John R and Turchin, Michael C and Vandenput, Liesbeth and Verlaan, Dominique J and Vitart, Veronique and White, Charles C and Ziegler, Andreas and Almgren, Peter and Balmforth, Anthony J and Campbell, Harry and Citterio, Lorena and De Grandi, Alessandro and Dominiczak, Anna and Duan, Jubao and Elliott, Paul and Elosua, Roberto and Eriksson, Johan G and Freimer, Nelson B and Geus, Eco J C and Glorioso, Nicola and Haiqing, Shen and Hartikainen, Anna-Liisa and Havulinna, Aki S and Hicks, Andrew A and Hui, Jennie and Igl, Wilmar and Illig, Thomas and Jula, Antti and Kajantie, Eero and Kilpel{\"a}inen, Tuomas O and Koiranen, Markku and Kolcic, Ivana and Koskinen, Seppo and Kovacs, Peter and Laitinen, Jaana and Liu, Jianjun and Lokki, Marja-Liisa and Marusic, Ana and Maschio, Andrea and Meitinger, Thomas and Mulas, Antonella and Par{\'e}, Guillaume and Parker, Alex N and Peden, John F and Petersmann, Astrid and Pichler, Irene and Pietil{\"a}inen, Kirsi H and Pouta, Anneli and Ridderstr{\r a}le, Martin and Rotter, Jerome I and Sambrook, Jennifer G and Sanders, Alan R and Schmidt, Carsten Oliver and Sinisalo, Juha and Smit, Jan H and Stringham, Heather M and Bragi Walters, G and Widen, Elisabeth and Wild, Sarah H and Willemsen, Gonneke and Zagato, Laura and Zgaga, Lina and Zitting, Paavo and Alavere, Helene and Farrall, Martin and McArdle, Wendy L and Nelis, Mari and Peters, Marjolein J and Ripatti, Samuli and van Meurs, Joyce B J and Aben, Katja K and Ardlie, Kristin G and Beckmann, Jacques S and Beilby, John P and Bergman, Richard N and Bergmann, Sven and Collins, Francis S and Cusi, Daniele and den Heijer, Martin and Eiriksdottir, Gudny and Gejman, Pablo V and Hall, Alistair S and Hamsten, Anders and Huikuri, Heikki V and Iribarren, Carlos and K{\"a}h{\"o}nen, Mika and Kaprio, Jaakko and Kathiresan, Sekar and Kiemeney, Lambertus and Kocher, Thomas and Launer, Lenore J and Lehtim{\"a}ki, Terho and Melander, Olle and Mosley, Tom H and Musk, Arthur W and Nieminen, Markku S and O{\textquoteright}Donnell, Christopher J and Ohlsson, Claes and Oostra, Ben and Palmer, Lyle J and Raitakari, Olli and Ridker, Paul M and Rioux, John D and Rissanen, Aila and Rivolta, Carlo and Schunkert, Heribert and Shuldiner, Alan R and Siscovick, David S and Stumvoll, Michael and T{\"o}njes, Anke and Tuomilehto, Jaakko and van Ommen, Gert-Jan and Viikari, Jorma and Heath, Andrew C and Martin, Nicholas G and Montgomery, Grant W and Province, Michael A and Kayser, Manfred and Arnold, Alice M and Atwood, Larry D and Boerwinkle, Eric and Chanock, Stephen J and Deloukas, Panos and Gieger, Christian and Gr{\"o}nberg, Henrik and Hall, Per and Hattersley, Andrew T and Hengstenberg, Christian and Hoffman, Wolfgang and Lathrop, G Mark and Salomaa, Veikko and Schreiber, Stefan and Uda, Manuela and Waterworth, Dawn and Wright, Alan F and Assimes, Themistocles L and Barroso, In{\^e}s and Hofman, Albert and Mohlke, Karen L and Boomsma, Dorret I and Caulfield, Mark J and Cupples, L Adrienne and Erdmann, Jeanette and Fox, Caroline S and Gudnason, Vilmundur and Gyllensten, Ulf and Harris, Tamara B and Hayes, Richard B and Jarvelin, Marjo-Riitta and Mooser, Vincent and Munroe, Patricia B and Ouwehand, Willem H and Penninx, Brenda W and Pramstaller, Peter P and Quertermous, Thomas and Rudan, Igor and Samani, Nilesh J and Spector, Timothy D and V{\"o}lzke, Henry and Watkins, Hugh and Wilson, James F and Groop, Leif C and Haritunians, Talin and Hu, Frank B and Kaplan, Robert C and Metspalu, Andres and North, Kari E and Schlessinger, David and Wareham, Nicholas J and Hunter, David J and O{\textquoteright}Connell, Jeffrey R and Strachan, David P and Wichmann, H-Erich and Borecki, Ingrid B and van Duijn, Cornelia M and Schadt, Eric E and Thorsteinsdottir, Unnur and Peltonen, Leena and Uitterlinden, Andr{\'e} G and Visscher, Peter M and Chatterjee, Nilanjan and Loos, Ruth J F and Boehnke, Michael and McCarthy, Mark I and Ingelsson, Erik and Lindgren, Cecilia M and Abecasis, Goncalo R and Stefansson, Kari and Frayling, Timothy M and Hirschhorn, Joel N} } @article {1222, title = {Interactions of dietary whole-grain intake with fasting glucose- and insulin-related genetic loci in individuals of European descent: a meta-analysis of 14 cohort studies.}, journal = {Diabetes Care}, volume = {33}, year = {2010}, month = {2010 Dec}, pages = {2684-91}, abstract = {

OBJECTIVE: Whole-grain foods are touted for multiple health benefits, including enhancing insulin sensitivity and reducing type 2 diabetes risk. Recent genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) associated with fasting glucose and insulin concentrations in individuals free of diabetes. We tested the hypothesis that whole-grain food intake and genetic variation interact to influence concentrations of fasting glucose and insulin.

RESEARCH DESIGN AND METHODS: Via meta-analysis of data from 14 cohorts comprising \~{} 48,000 participants of European descent, we studied interactions of whole-grain intake with loci previously associated in GWAS with fasting glucose (16 loci) and/or insulin (2 loci) concentrations. For tests of interaction, we considered a P value <0.0028 (0.05 of 18 tests) as statistically significant.

RESULTS: Greater whole-grain food intake was associated with lower fasting glucose and insulin concentrations independent of demographics, other dietary and lifestyle factors, and BMI (β [95\% CI] per 1-serving-greater whole-grain intake: -0.009 mmol/l glucose [-0.013 to -0.005], P < 0.0001 and -0.011 pmol/l [ln] insulin [-0.015 to -0.007], P = 0.0003). No interactions met our multiple testing-adjusted statistical significance threshold. The strongest SNP interaction with whole-grain intake was rs780094 (GCKR) for fasting insulin (P = 0.006), where greater whole-grain intake was associated with a smaller reduction in fasting insulin concentrations in those with the insulin-raising allele.

CONCLUSIONS: Our results support the favorable association of whole-grain intake with fasting glucose and insulin and suggest a potential interaction between variation in GCKR and whole-grain intake in influencing fasting insulin concentrations.

}, keywords = {Adult, Aged, Blood Glucose, Edible Grain, European Continental Ancestry Group, Fasting, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Insulin, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1935-5548}, doi = {10.2337/dc10-1150}, author = {Nettleton, Jennifer A and McKeown, Nicola M and Kanoni, Stavroula and Lemaitre, Rozenn N and Hivert, Marie-France and Ngwa, Julius and van Rooij, Frank J A and Sonestedt, Emily and Wojczynski, Mary K and Ye, Zheng and Tanaka, Tosh and Garcia, Melissa and Anderson, Jennifer S and Follis, Jack L and Djouss{\'e}, Luc and Mukamal, Kenneth and Papoutsakis, Constantina and Mozaffarian, Dariush and Zillikens, M Carola and Bandinelli, Stefania and Bennett, Amanda J and Borecki, Ingrid B and Feitosa, Mary F and Ferrucci, Luigi and Forouhi, Nita G and Groves, Christopher J and Hallmans, G{\"o}ran and Harris, Tamara and Hofman, Albert and Houston, Denise K and Hu, Frank B and Johansson, Ingegerd and Kritchevsky, Stephen B and Langenberg, Claudia and Launer, Lenore and Liu, Yongmei and Loos, Ruth J and Nalls, Michael and Orho-Melander, Marju and Renstrom, Frida and Rice, Kenneth and Riserus, Ulf and Rolandsson, Olov and Rotter, Jerome I and Saylor, Georgia and Sijbrands, Eric J G and Sjogren, Per and Smith, Albert and Steingr{\'\i}msd{\'o}ttir, Laufey and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Prokopenko, Inga and Pankow, James S and van Duijn, Cornelia M and Florez, Jose C and Witteman, Jacqueline C M and Dupuis, Jos{\'e}e and Dedoussis, George V and Ordovas, Jose M and Ingelsson, Erik and Cupples, L Adrienne and Siscovick, David S and Franks, Paul W and Meigs, James B} } @article {583, title = {Lipoprotein-associated phospholipase A(2) and risk of coronary disease, stroke, and mortality: collaborative analysis of 32 prospective studies.}, journal = {Lancet}, volume = {375}, year = {2010}, month = {2010 May 01}, pages = {1536-44}, abstract = {

BACKGROUND: Lipoprotein-associated phospholipase A(2) (Lp-PLA(2)), an inflammatory enzyme expressed in atherosclerotic plaques, is a therapeutic target being assessed in trials of vascular disease prevention. We investigated associations of circulating Lp-PLA(2) mass and activity with risk of coronary heart disease, stroke, and mortality under different circumstances.

METHODS: With use of individual records from 79 036 participants in 32 prospective studies (yielding 17 722 incident fatal or non-fatal outcomes during 474 976 person-years at risk), we did a meta-analysis of within-study regressions to calculate risk ratios (RRs) per 1 SD higher value of Lp-PLA(2) or other risk factor. The primary outcome was coronary heart disease.

FINDINGS: Lp-PLA(2) activity and mass were associated with each other (r=0.51, 95\% CI 0.47-0.56) and proatherogenic lipids. We noted roughly log-linear associations of Lp-PLA(2) activity and mass with risk of coronary heart disease and vascular death. RRs, adjusted for conventional risk factors, were: 1.10 (95\% CI 1.05-1.16) with Lp-PLA(2) activity and 1.11 (1.07-1.16) with Lp-PLA(2) mass for coronary heart disease; 1.08 (0.97-1.20) and 1.14 (1.02-1.27) for ischaemic stroke; 1.16 (1.09-1.24) and 1.13 (1.05-1.22) for vascular mortality; and 1.10 (1.04-1.17) and 1.10 (1.03-1.18) for non-vascular mortality, respectively. RRs with Lp-PLA(2) did not differ significantly in people with and without initial stable vascular disease, apart from for vascular death with Lp-PLA(2) mass. Adjusted RRs for coronary heart disease were 1.10 (1.02-1.18) with non-HDL cholesterol and 1.10 (1.00-1.21) with systolic blood pressure.

INTERPRETATION: Lp-PLA(2) activity and mass each show continuous associations with risk of coronary heart disease, similar in magnitude to that with non-HDL cholesterol or systolic blood pressure in this population. Associations of Lp-PLA(2) mass and activity are not exclusive to vascular outcomes, and the vascular associations depend at least partly on lipids.

FUNDING: UK Medical Research Council, GlaxoSmithKline, and British Heart Foundation.

}, keywords = {1-Alkyl-2-acetylglycerophosphocholine Esterase, Blood Pressure, Coronary Disease, Female, Humans, Linear Models, Lipids, Male, Middle Aged, Prospective Studies, Risk Assessment, Risk Factors, Stroke, Systole}, issn = {1474-547X}, doi = {10.1016/S0140-6736(10)60319-4}, author = {Thompson, Alexander and Gao, Pei and Orfei, Lia and Watson, Sarah and Di Angelantonio, Emanuele and Kaptoge, Stephen and Ballantyne, Christie and Cannon, Christopher P and Criqui, Michael and Cushman, Mary and Hofman, Albert and Packard, Chris and Thompson, Simon G and Collins, Rory and Danesh, John} } @article {1150, title = {Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Jan}, pages = {45-52}, abstract = {

Spirometric measures of lung function are heritable traits that reflect respiratory health and predict morbidity and mortality. We meta-analyzed genome-wide association studies for two clinically important lung-function measures: forced expiratory volume in the first second (FEV(1)) and its ratio to forced vital capacity (FEV(1)/FVC), an indicator of airflow obstruction. This meta-analysis included 20,890 participants of European ancestry from four CHARGE Consortium studies: Atherosclerosis Risk in Communities, Cardiovascular Health Study, Framingham Heart Study and Rotterdam Study. We identified eight loci associated with FEV(1)/FVC (HHIP, GPR126, ADAM19, AGER-PPT2, FAM13A, PTCH1, PID1 and HTR4) and one locus associated with FEV(1) (INTS12-GSTCD-NPNT) at or near genome-wide significance (P < 5 x 10(-8)) in the CHARGE Consortium dataset. Our findings may offer insights into pulmonary function and pathogenesis of chronic lung disease.

}, keywords = {Databases, Genetic, Female, Forced Expiratory Volume, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Lung, Lung Diseases, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Spirometry, Vital Capacity}, issn = {1546-1718}, doi = {10.1038/ng.500}, author = {Hancock, Dana B and Eijgelsheim, Mark and Wilk, Jemma B and Gharib, Sina A and Loehr, Laura R and Marciante, Kristin D and Franceschini, Nora and van Durme, Yannick M T A and Chen, Ting-Hsu and Barr, R Graham and Schabath, Matthew B and Couper, David J and Brusselle, Guy G and Psaty, Bruce M and van Duijn, Cornelia M and Rotter, Jerome I and Uitterlinden, Andr{\'e} G and Hofman, Albert and Punjabi, Naresh M and Rivadeneira, Fernando and Morrison, Alanna C and Enright, Paul L and North, Kari E and Heckbert, Susan R and Lumley, Thomas and Stricker, Bruno H C and O{\textquoteright}Connor, George T and London, Stephanie J} } @article {1236, title = {Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Nov}, pages = {949-60}, abstract = {

Waist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studies for WHR adjusted for body mass index (comprising up to 77,167 participants), following up 16 loci in an additional 29 studies (comprising up to 113,636 subjects). We identified 13 new loci in or near RSPO3, VEGFA, TBX15-WARS2, NFE2L3, GRB14, DNM3-PIGC, ITPR2-SSPN, LY86, HOXC13, ADAMTS9, ZNRF3-KREMEN1, NISCH-STAB1 and CPEB4 (P = 1.9 {\texttimes} 10$^{-}$$^{9}$ to P = 1.8 {\texttimes} 10$^{-}$$^{4}$$^{0}$) and the known signal at LYPLAL1. Seven of these loci exhibited marked sexual dimorphism, all with a stronger effect on WHR in women than men (P for sex difference = 1.9 {\texttimes} 10$^{-}${\textthreesuperior} to P = 1.2 {\texttimes} 10$^{-}${\textonesuperior}{\textthreesuperior}). These findings provide evidence for multiple loci that modulate body fat distribution independent of overall adiposity and reveal strong gene-by-sex interactions.

}, keywords = {Adipose Tissue, Age Factors, Chromosome Mapping, Female, Genome, Human, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Sex Characteristics, Waist-Hip Ratio}, issn = {1546-1718}, doi = {10.1038/ng.685}, author = {Heid, Iris M and Jackson, Anne U and Randall, Joshua C and Winkler, Thomas W and Qi, Lu and Steinthorsdottir, Valgerdur and Thorleifsson, Gudmar and Zillikens, M Carola and Speliotes, Elizabeth K and M{\"a}gi, Reedik and Workalemahu, Tsegaselassie and White, Charles C and Bouatia-Naji, Nabila and Harris, Tamara B and Berndt, Sonja I and Ingelsson, Erik and Willer, Cristen J and Weedon, Michael N and Luan, Jian{\textquoteright}an and Vedantam, Sailaja and Esko, T{\~o}nu and Kilpel{\"a}inen, Tuomas O and Kutalik, Zolt{\'a}n and Li, Shengxu and Monda, Keri L and Dixon, Anna L and Holmes, Christopher C and Kaplan, Lee M and Liang, Liming and Min, Josine L and Moffatt, Miriam F and Molony, Cliona and Nicholson, George and Schadt, Eric E and Zondervan, Krina T and Feitosa, Mary F and Ferreira, Teresa and Lango Allen, Hana and Weyant, Robert J and Wheeler, Eleanor and Wood, Andrew R and Estrada, Karol and Goddard, Michael E and Lettre, Guillaume and Mangino, Massimo and Nyholt, Dale R and Purcell, Shaun and Smith, Albert Vernon and Visscher, Peter M and Yang, Jian and McCarroll, Steven A and Nemesh, James and Voight, Benjamin F and Absher, Devin and Amin, Najaf and Aspelund, Thor and Coin, Lachlan and Glazer, Nicole L and Hayward, Caroline and Heard-Costa, Nancy L and Hottenga, Jouke-Jan and Johansson, Asa and Johnson, Toby and Kaakinen, Marika and Kapur, Karen and Ketkar, Shamika and Knowles, Joshua W and Kraft, Peter and Kraja, Aldi T and Lamina, Claudia and Leitzmann, Michael F and McKnight, Barbara and Morris, Andrew P and Ong, Ken K and Perry, John R B and Peters, Marjolein J and Polasek, Ozren and Prokopenko, Inga and Rayner, Nigel W and Ripatti, Samuli and Rivadeneira, Fernando and Robertson, Neil R and Sanna, Serena and Sovio, Ulla and Surakka, Ida and Teumer, Alexander and van Wingerden, Sophie and Vitart, Veronique and Zhao, Jing Hua and Cavalcanti-Proen{\c c}a, Christine and Chines, Peter S and Fisher, Eva and Kulzer, Jennifer R and Lecoeur, C{\'e}cile and Narisu, Narisu and Sandholt, Camilla and Scott, Laura J and Silander, Kaisa and Stark, Klaus and Tammesoo, Mari-Liis and Teslovich, Tanya M and Timpson, Nicholas John and Watanabe, Richard M and Welch, Ryan and Chasman, Daniel I and Cooper, Matthew N and Jansson, John-Olov and Kettunen, Johannes and Lawrence, Robert W and Pellikka, Niina and Perola, Markus and Vandenput, Liesbeth and Alavere, Helene and Almgren, Peter and Atwood, Larry D and Bennett, Amanda J and Biffar, Reiner and Bonnycastle, Lori L and Bornstein, Stefan R and Buchanan, Thomas A and Campbell, Harry and Day, Ian N M and Dei, Mariano and D{\"o}rr, Marcus and Elliott, Paul and Erdos, Michael R and Eriksson, Johan G and Freimer, Nelson B and Fu, Mao and Gaget, Stefan and Geus, Eco J C and Gjesing, Anette P and Grallert, Harald and Gr{\"a}ssler, J{\"u}rgen and Groves, Christopher J and Guiducci, Candace and Hartikainen, Anna-Liisa and Hassanali, Neelam and Havulinna, Aki S and Herzig, Karl-Heinz and Hicks, Andrew A and Hui, Jennie and Igl, Wilmar and Jousilahti, Pekka and Jula, Antti and Kajantie, Eero and Kinnunen, Leena and Kolcic, Ivana and Koskinen, Seppo and Kovacs, Peter and Kroemer, Heyo K and Krzelj, Vjekoslav and Kuusisto, Johanna and Kvaloy, Kirsti and Laitinen, Jaana and Lantieri, Olivier and Lathrop, G Mark and Lokki, Marja-Liisa and Luben, Robert N and Ludwig, Barbara and McArdle, Wendy L and McCarthy, Anne and Morken, Mario A and Nelis, Mari and Neville, Matt J and Par{\'e}, Guillaume and Parker, Alex N and Peden, John F and Pichler, Irene and Pietil{\"a}inen, Kirsi H and Platou, Carl G P and Pouta, Anneli and Ridderstr{\r a}le, Martin and Samani, Nilesh J and Saramies, Jouko and Sinisalo, Juha and Smit, Jan H and Strawbridge, Rona J and Stringham, Heather M and Swift, Amy J and Teder-Laving, Maris and Thomson, Brian and Usala, Gianluca and van Meurs, Joyce B J and van Ommen, Gert-Jan and Vatin, Vincent and Volpato, Claudia B and Wallaschofski, Henri and Walters, G Bragi and Widen, Elisabeth and Wild, Sarah H and Willemsen, Gonneke and Witte, Daniel R and Zgaga, Lina and Zitting, Paavo and Beilby, John P and James, Alan L and K{\"a}h{\"o}nen, Mika and Lehtim{\"a}ki, Terho and Nieminen, Markku S and Ohlsson, Claes and Palmer, Lyle J and Raitakari, Olli and Ridker, Paul M and Stumvoll, Michael and T{\"o}njes, Anke and Viikari, Jorma and Balkau, Beverley and Ben-Shlomo, Yoav and Bergman, Richard N and Boeing, Heiner and Smith, George Davey and Ebrahim, Shah and Froguel, Philippe and Hansen, Torben and Hengstenberg, Christian and Hveem, Kristian and Isomaa, Bo and J{\o}rgensen, Torben and Karpe, Fredrik and Khaw, Kay-Tee and Laakso, Markku and Lawlor, Debbie A and Marre, Michel and Meitinger, Thomas and Metspalu, Andres and Midthjell, Kristian and Pedersen, Oluf and Salomaa, Veikko and Schwarz, Peter E H and Tuomi, Tiinamaija and Tuomilehto, Jaakko and Valle, Timo T and Wareham, Nicholas J and Arnold, Alice M and Beckmann, Jacques S and Bergmann, Sven and Boerwinkle, Eric and Boomsma, Dorret I and Caulfield, Mark J and Collins, Francis S and Eiriksdottir, Gudny and Gudnason, Vilmundur and Gyllensten, Ulf and Hamsten, Anders and Hattersley, Andrew T and Hofman, Albert and Hu, Frank B and Illig, Thomas and Iribarren, Carlos and Jarvelin, Marjo-Riitta and Kao, W H Linda and Kaprio, Jaakko and Launer, Lenore J and Munroe, Patricia B and Oostra, Ben and Penninx, Brenda W and Pramstaller, Peter P and Psaty, Bruce M and Quertermous, Thomas and Rissanen, Aila and Rudan, Igor and Shuldiner, Alan R and Soranzo, Nicole and Spector, Timothy D and Syv{\"a}nen, Ann-Christine and Uda, Manuela and Uitterlinden, Andre and V{\"o}lzke, Henry and Vollenweider, Peter and Wilson, James F and Witteman, Jacqueline C and Wright, Alan F and Abecasis, Goncalo R and Boehnke, Michael and Borecki, Ingrid B and Deloukas, Panos and Frayling, Timothy M and Groop, Leif C and Haritunians, Talin and Hunter, David J and Kaplan, Robert C and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Peltonen, Leena and Schlessinger, David and Strachan, David P and Hirschhorn, Joel N and Assimes, Themistocles L and Wichmann, H-Erich and Thorsteinsdottir, Unnur and van Duijn, Cornelia M and Stefansson, Kari and Cupples, L Adrienne and Loos, Ruth J F and Barroso, In{\^e}s and McCarthy, Mark I and Fox, Caroline S and Mohlke, Karen L and Lindgren, Cecilia M} } @article {1235, title = {Multiple genetic loci influence serum urate levels and their relationship with gout and cardiovascular disease risk factors.}, journal = {Circ Cardiovasc Genet}, volume = {3}, year = {2010}, month = {2010 Dec}, pages = {523-30}, abstract = {

BACKGROUND: Elevated serum urate levels can lead to gout and are associated with cardiovascular risk factors. We performed a genome-wide association study to search for genetic susceptibility loci for serum urate and gout and investigated the causal nature of the associations of serum urate with gout and selected cardiovascular risk factors and coronary heart disease (CHD).

METHODS AND RESULTS: Meta-analyses of genome-wide association studies (GWAS) were performed in 5 population-based cohorts of the Cohorts for Heart and Aging Research in Genome Epidemiology consortium for serum urate and gout in 28 283 white participants. The effect of the most significant single-nucleotide polymorphism at all genome-wide significant loci on serum urate was added to create a genetic urate score. Findings were replicated in the Women{\textquoteright}s Genome Health Study (n=22 054). Single-nucleotide polymorphisms at 8 genetic loci achieved genome-wide significance with serum urate levels (P=4{\texttimes}10(-8) to 2{\texttimes}10(-242) in SLC22A11, GCKR, R3HDM2-INHBC region, RREB1, PDZK1, SLC2A9, ABCG2, and SLC17A1). Only 2 loci (SLC2A9, ABCG2) showed genome-wide significant association with gout. The genetic urate score was strongly associated with serum urate and gout (odds ratio, 12.4 per 100 μmol/L; P=3{\texttimes}10(-39)) but not with blood pressure, glucose, estimated glomerular filtration rate, chronic kidney disease, or CHD. The lack of association between the genetic score and the latter phenotypes also was observed in the Women{\textquoteright}s Genome Health Study.

CONCLUSIONS: The genetic urate score analysis suggested a causal relationship between serum urate and gout but did not provide evidence for one between serum urate and cardiovascular risk factors and CHD.

}, keywords = {Cardiovascular Diseases, Coronary Disease, Female, Genetic Loci, Genome-Wide Association Study, Gout, Humans, Male, Risk Factors, Uric Acid}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.109.934455}, author = {Yang, Qiong and K{\"o}ttgen, Anna and Dehghan, Abbas and Smith, Albert V and Glazer, Nicole L and Chen, Ming-Huei and Chasman, Daniel I and Aspelund, Thor and Eiriksdottir, Gudny and Harris, Tamara B and Launer, Lenore and Nalls, Michael and Hernandez, Dena and Arking, Dan E and Boerwinkle, Eric and Grove, Megan L and Li, Man and Linda Kao, W H and Chonchol, Michel and Haritunians, Talin and Li, Guo and Lumley, Thomas and Psaty, Bruce M and Shlipak, Michael and Hwang, Shih-Jen and Larson, Martin G and O{\textquoteright}Donnell, Christopher J and Upadhyay, Ashish and van Duijn, Cornelia M and Hofman, Albert and Rivadeneira, Fernando and Stricker, Bruno and Uitterlinden, Andr{\'e} G and Par{\'e}, Guillaume and Parker, Alex N and Ridker, Paul M and Siscovick, David S and Gudnason, Vilmundur and Witteman, Jacqueline C and Fox, Caroline S and Coresh, Josef} } @article {1160, title = {New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Feb}, pages = {105-16}, abstract = {

Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.

}, keywords = {Adolescent, Adult, Alleles, Blood Glucose, Child, Databases, Genetic, Diabetes Mellitus, Type 2, DNA Copy Number Variations, Fasting, Gene Expression Regulation, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Homeostasis, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Quantitative Trait, Heritable, Reproducibility of Results}, issn = {1546-1718}, doi = {10.1038/ng.520}, author = {Dupuis, Jos{\'e}e and Langenberg, Claudia and Prokopenko, Inga and Saxena, Richa and Soranzo, Nicole and Jackson, Anne U and Wheeler, Eleanor and Glazer, Nicole L and Bouatia-Naji, Nabila and Gloyn, Anna L and Lindgren, Cecilia M and M{\"a}gi, Reedik and Morris, Andrew P and Randall, Joshua and Johnson, Toby and Elliott, Paul and Rybin, Denis and Thorleifsson, Gudmar and Steinthorsdottir, Valgerdur and Henneman, Peter and Grallert, Harald and Dehghan, Abbas and Hottenga, Jouke Jan and Franklin, Christopher S and Navarro, Pau and Song, Kijoung and Goel, Anuj and Perry, John R B and Egan, Josephine M and Lajunen, Taina and Grarup, Niels and Spars{\o}, Thomas and Doney, Alex and Voight, Benjamin F and Stringham, Heather M and Li, Man and Kanoni, Stavroula and Shrader, Peter and Cavalcanti-Proen{\c c}a, Christine and Kumari, Meena and Qi, Lu and Timpson, Nicholas J and Gieger, Christian and Zabena, Carina and Rocheleau, Ghislain and Ingelsson, Erik and An, Ping and O{\textquoteright}Connell, Jeffrey and Luan, Jian{\textquoteright}an and Elliott, Amanda and McCarroll, Steven A and Payne, Felicity and Roccasecca, Rosa Maria and Pattou, Fran{\c c}ois and Sethupathy, Praveen and Ardlie, Kristin and Ariyurek, Yavuz and Balkau, Beverley and Barter, Philip and Beilby, John P and Ben-Shlomo, Yoav and Benediktsson, Rafn and Bennett, Amanda J and Bergmann, Sven and Bochud, Murielle and Boerwinkle, Eric and Bonnefond, Am{\'e}lie and Bonnycastle, Lori L and Borch-Johnsen, Knut and B{\"o}ttcher, Yvonne and Brunner, Eric and Bumpstead, Suzannah J and Charpentier, Guillaume and Chen, Yii-Der Ida and Chines, Peter and Clarke, Robert and Coin, Lachlan J M and Cooper, Matthew N and Cornelis, Marilyn and Crawford, Gabe and Crisponi, Laura and Day, Ian N M and de Geus, Eco J C and Delplanque, Jerome and Dina, Christian and Erdos, Michael R and Fedson, Annette C and Fischer-Rosinsky, Antje and Forouhi, Nita G and Fox, Caroline S and Frants, Rune and Franzosi, Maria Grazia and Galan, Pilar and Goodarzi, Mark O and Graessler, J{\"u}rgen and Groves, Christopher J and Grundy, Scott and Gwilliam, Rhian and Gyllensten, Ulf and Hadjadj, Samy and Hallmans, G{\"o}ran and Hammond, Naomi and Han, Xijing and Hartikainen, Anna-Liisa and Hassanali, Neelam and Hayward, Caroline and Heath, Simon C and Hercberg, Serge and Herder, Christian and Hicks, Andrew A and Hillman, David R and Hingorani, Aroon D and Hofman, Albert and Hui, Jennie and Hung, Joe and Isomaa, Bo and Johnson, Paul R V and J{\o}rgensen, Torben and Jula, Antti and Kaakinen, Marika and Kaprio, Jaakko and Kesaniemi, Y Antero and Kivimaki, Mika and Knight, Beatrice and Koskinen, Seppo and Kovacs, Peter and Kyvik, Kirsten Ohm and Lathrop, G Mark and Lawlor, Debbie A and Le Bacquer, Olivier and Lecoeur, C{\'e}cile and Li, Yun and Lyssenko, Valeriya and Mahley, Robert and Mangino, Massimo and Manning, Alisa K and Mart{\'\i}nez-Larrad, Mar{\'\i}a Teresa and McAteer, Jarred B and McCulloch, Laura J and McPherson, Ruth and Meisinger, Christa and Melzer, David and Meyre, David and Mitchell, Braxton D and Morken, Mario A and Mukherjee, Sutapa and Naitza, Silvia and Narisu, Narisu and Neville, Matthew J and Oostra, Ben A and Orr{\`u}, Marco and Pakyz, Ruth and Palmer, Colin N A and Paolisso, Giuseppe and Pattaro, Cristian and Pearson, Daniel and Peden, John F and Pedersen, Nancy L and Perola, Markus and Pfeiffer, Andreas F H and Pichler, Irene and Polasek, Ozren and Posthuma, Danielle and Potter, Simon C and Pouta, Anneli and Province, Michael A and Psaty, Bruce M and Rathmann, Wolfgang and Rayner, Nigel W and Rice, Kenneth and Ripatti, Samuli and Rivadeneira, Fernando and Roden, Michael and Rolandsson, Olov and Sandbaek, Annelli and Sandhu, Manjinder and Sanna, Serena and Sayer, Avan Aihie and Scheet, Paul and Scott, Laura J and Seedorf, Udo and Sharp, Stephen J and Shields, Beverley and Sigurethsson, Gunnar and Sijbrands, Eric J G and Silveira, Angela and Simpson, Laila and Singleton, Andrew and Smith, Nicholas L and Sovio, Ulla and Swift, Amy and Syddall, Holly and Syv{\"a}nen, Ann-Christine and Tanaka, Toshiko and Thorand, Barbara and Tichet, Jean and T{\"o}njes, Anke and Tuomi, Tiinamaija and Uitterlinden, Andr{\'e} G and van Dijk, Ko Willems and van Hoek, Mandy and Varma, Dhiraj and Visvikis-Siest, Sophie and Vitart, Veronique and Vogelzangs, Nicole and Waeber, G{\'e}rard and Wagner, Peter J and Walley, Andrew and Walters, G Bragi and Ward, Kim L and Watkins, Hugh and Weedon, Michael N and Wild, Sarah H and Willemsen, Gonneke and Witteman, Jaqueline C M and Yarnell, John W G and Zeggini, Eleftheria and Zelenika, Diana and Zethelius, Bj{\"o}rn and Zhai, Guangju and Zhao, Jing Hua and Zillikens, M Carola and Borecki, Ingrid B and Loos, Ruth J F and Meneton, Pierre and Magnusson, Patrik K E and Nathan, David M and Williams, Gordon H and Hattersley, Andrew T and Silander, Kaisa and Salomaa, Veikko and Smith, George Davey and Bornstein, Stefan R and Schwarz, Peter and Spranger, Joachim and Karpe, Fredrik and Shuldiner, Alan R and Cooper, Cyrus and Dedoussis, George V and Serrano-R{\'\i}os, Manuel and Morris, Andrew D and Lind, Lars and Palmer, Lyle J and Hu, Frank B and Franks, Paul W and Ebrahim, Shah and Marmot, Michael and Kao, W H Linda and Pankow, James S and Sampson, Michael J and Kuusisto, Johanna and Laakso, Markku and Hansen, Torben and Pedersen, Oluf and Pramstaller, Peter Paul and Wichmann, H Erich and Illig, Thomas and Rudan, Igor and Wright, Alan F and Stumvoll, Michael and Campbell, Harry and Wilson, James F and Bergman, Richard N and Buchanan, Thomas A and Collins, Francis S and Mohlke, Karen L and Tuomilehto, Jaakko and Valle, Timo T and Altshuler, David and Rotter, Jerome I and Siscovick, David S and Penninx, Brenda W J H and Boomsma, Dorret I and Deloukas, Panos and Spector, Timothy D and Frayling, Timothy M and Ferrucci, Luigi and Kong, Augustine and Thorsteinsdottir, Unnur and Stefansson, Kari and van Duijn, Cornelia M and Aulchenko, Yurii S and Cao, Antonio and Scuteri, Angelo and Schlessinger, David and Uda, Manuela and Ruokonen, Aimo and Jarvelin, Marjo-Riitta and Waterworth, Dawn M and Vollenweider, Peter and Peltonen, Leena and Mooser, Vincent and Abecasis, Goncalo R and Wareham, Nicholas J and Sladek, Robert and Froguel, Philippe and Watanabe, Richard M and Meigs, James B and Groop, Leif and Boehnke, Michael and McCarthy, Mark I and Florez, Jose C and Barroso, In{\^e}s} } @article {1183, title = {New loci associated with kidney function and chronic kidney disease.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 May}, pages = {376-84}, abstract = {

Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m(2); n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 x 10(-8)) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.

}, keywords = {Cohort Studies, Creatinine, Cystatin C, Diet, Europe, Genetic Markers, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Kidney, Kidney Failure, Chronic, Models, Genetic, Risk Factors}, issn = {1546-1718}, doi = {10.1038/ng.568}, author = {K{\"o}ttgen, Anna and Pattaro, Cristian and B{\"o}ger, Carsten A and Fuchsberger, Christian and Olden, Matthias and Glazer, Nicole L and Parsa, Afshin and Gao, Xiaoyi and Yang, Qiong and Smith, Albert V and O{\textquoteright}Connell, Jeffrey R and Li, Man and Schmidt, Helena and Tanaka, Toshiko and Isaacs, Aaron and Ketkar, Shamika and Hwang, Shih-Jen and Johnson, Andrew D and Dehghan, Abbas and Teumer, Alexander and Par{\'e}, Guillaume and Atkinson, Elizabeth J and Zeller, Tanja and Lohman, Kurt and Cornelis, Marilyn C and Probst-Hensch, Nicole M and Kronenberg, Florian and T{\"o}njes, Anke and Hayward, Caroline and Aspelund, Thor and Eiriksdottir, Gudny and Launer, Lenore J and Harris, Tamara B and Rampersaud, Evadnie and Mitchell, Braxton D and Arking, Dan E and Boerwinkle, Eric and Struchalin, Maksim and Cavalieri, Margherita and Singleton, Andrew and Giallauria, Francesco and Metter, Jeffrey and de Boer, Ian H and Haritunians, Talin and Lumley, Thomas and Siscovick, David and Psaty, Bruce M and Zillikens, M Carola and Oostra, Ben A and Feitosa, Mary and Province, Michael and de Andrade, Mariza and Turner, Stephen T and Schillert, Arne and Ziegler, Andreas and Wild, Philipp S and Schnabel, Renate B and Wilde, Sandra and Munzel, Thomas F and Leak, Tennille S and Illig, Thomas and Klopp, Norman and Meisinger, Christa and Wichmann, H-Erich and Koenig, Wolfgang and Zgaga, Lina and Zemunik, Tatijana and Kolcic, Ivana and Minelli, Cosetta and Hu, Frank B and Johansson, Asa and Igl, Wilmar and Zaboli, Ghazal and Wild, Sarah H and Wright, Alan F and Campbell, Harry and Ellinghaus, David and Schreiber, Stefan and Aulchenko, Yurii S and Felix, Janine F and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Hofman, Albert and Imboden, Medea and Nitsch, Dorothea and Brandst{\"a}tter, Anita and Kollerits, Barbara and Kedenko, Lyudmyla and M{\"a}gi, Reedik and Stumvoll, Michael and Kovacs, Peter and Boban, Mladen and Campbell, Susan and Endlich, Karlhans and V{\"o}lzke, Henry and Kroemer, Heyo K and Nauck, Matthias and V{\"o}lker, Uwe and Polasek, Ozren and Vitart, Veronique and Badola, Sunita and Parker, Alexander N and Ridker, Paul M and Kardia, Sharon L R and Blankenberg, Stefan and Liu, Yongmei and Curhan, Gary C and Franke, Andre and Rochat, Thierry and Paulweber, Bernhard and Prokopenko, Inga and Wang, Wei and Gudnason, Vilmundur and Shuldiner, Alan R and Coresh, Josef and Schmidt, Reinhold and Ferrucci, Luigi and Shlipak, Michael G and van Duijn, Cornelia M and Borecki, Ingrid and Kr{\"a}mer, Bernhard K and Rudan, Igor and Gyllensten, Ulf and Wilson, James F and Witteman, Jacqueline C and Pramstaller, Peter P and Rettig, Rainer and Hastie, Nick and Chasman, Daniel I and Kao, W H and Heid, Iris M and Fox, Caroline S} } @article {1176, title = {Novel associations of multiple genetic loci with plasma levels of factor VII, factor VIII, and von Willebrand factor: The CHARGE (Cohorts for Heart and Aging Research in Genome Epidemiology) Consortium.}, journal = {Circulation}, volume = {121}, year = {2010}, month = {2010 Mar 30}, pages = {1382-92}, abstract = {

BACKGROUND: Plasma levels of coagulation factors VII (FVII), VIII (FVIII), and von Willebrand factor (vWF) influence risk of hemorrhage and thrombosis. We conducted genome-wide association studies to identify new loci associated with plasma levels.

METHODS AND RESULTS: The setting of the study included 5 community-based studies for discovery comprising 23 608 European-ancestry participants: Atherosclerosis Risk In Communities Study, Cardiovascular Health Study, British 1958 Birth Cohort, Framingham Heart Study, and Rotterdam Study. All subjects had genome-wide single-nucleotide polymorphism (SNP) scans and at least 1 phenotype measured: FVII activity/antigen, FVIII activity, and vWF antigen. Each study used its genotype data to impute to HapMap SNPs and independently conducted association analyses of hemostasis measures using an additive genetic model. Study findings were combined by meta-analysis. Replication was conducted in 7604 participants not in the discovery cohort. For FVII, 305 SNPs exceeded the genome-wide significance threshold of 5.0x10(-8) and comprised 5 loci on 5 chromosomes: 2p23 (smallest P value 6.2x10(-24)), 4q25 (3.6x10(-12)), 11q12 (2.0x10(-10)), 13q34 (9.0x10(-259)), and 20q11.2 (5.7x10(-37)). Loci were within or near genes, including 4 new candidate genes and F7 (13q34). For vWF, 400 SNPs exceeded the threshold and marked 8 loci on 6 chromosomes: 6q24 (1.2x10(-22)), 8p21 (1.3x10(-16)), 9q34 (<5.0x10(-324)), 12p13 (1.7x10(-32)), 12q23 (7.3x10(-10)), 12q24.3 (3.8x10(-11)), 14q32 (2.3x10(-10)), and 19p13.2 (1.3x10(-9)). All loci were within genes, including 6 new candidate genes, as well as ABO (9q34) and VWF (12p13). For FVIII, 5 loci were identified and overlapped vWF findings. Nine of the 10 new findings were replicated.

CONCLUSIONS: New genetic associations were discovered outside previously known biological pathways and may point to novel prevention and treatment targets of hemostasis disorders.

}, keywords = {Adult, Factor VII, Factor VIII, Female, Genome-Wide Association Study, Hemostasis, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Thrombosis, von Willebrand Factor}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.109.869156}, author = {Smith, Nicholas L and Chen, Ming-Huei and Dehghan, Abbas and Strachan, David P and Basu, Saonli and Soranzo, Nicole and Hayward, Caroline and Rudan, Igor and Sabater-Lleal, Maria and Bis, Joshua C and de Maat, Moniek P M and Rumley, Ann and Kong, Xiaoxiao and Yang, Qiong and Williams, Frances M K and Vitart, Veronique and Campbell, Harry and M{\"a}larstig, Anders and Wiggins, Kerri L and van Duijn, Cornelia M and McArdle, Wendy L and Pankow, James S and Johnson, Andrew D and Silveira, Angela and McKnight, Barbara and Uitterlinden, Andr{\'e} G and Aleksic, Nena and Meigs, James B and Peters, Annette and Koenig, Wolfgang and Cushman, Mary and Kathiresan, Sekar and Rotter, Jerome I and Bovill, Edwin G and Hofman, Albert and Boerwinkle, Eric and Tofler, Geoffrey H and Peden, John F and Psaty, Bruce M and Leebeek, Frank and Folsom, Aaron R and Larson, Martin G and Spector, Timothy D and Wright, Alan F and Wilson, James F and Hamsten, Anders and Lumley, Thomas and Witteman, Jacqueline C M and Tang, Weihong and O{\textquoteright}Donnell, Christopher J} } @article {1181, title = {Obstructive sleep apnea-hypopnea and incident stroke: the sleep heart health study.}, journal = {Am J Respir Crit Care Med}, volume = {182}, year = {2010}, month = {2010 Jul 15}, pages = {269-77}, abstract = {

RATIONALE: Although obstructive sleep apnea is associated with physiological perturbations that increase risk of hypertension and are proatherogenic, it is uncertain whether sleep apnea is associated with increased stroke risk in the general population.

OBJECTIVES: To quantify the incidence of ischemic stroke with sleep apnea in a community-based sample of men and women across a wide range of sleep apnea.

METHODS: Baseline polysomnography was performed between 1995 and 1998 in a longitudinal cohort study. The primary exposure was the obstructive apnea-hypopnea index (OAHI) and outcome was incident ischemic stroke.

MEASUREMENTS AND MAIN RESULTS: A total of 5,422 participants without a history of stroke at the baseline examination and untreated for sleep apnea were followed for a median of 8.7 years. One hundred ninety-three ischemic strokes were observed. In covariate-adjusted Cox proportional hazard models, a significant positive association between ischemic stroke and OAHI was observed in men (P value for linear trend: P = 0.016). Men in the highest OAHI quartile (>19) had an adjusted hazard ratio of 2.86 (95\% confidence interval, 1.1-7.4). In the mild to moderate range (OAHI, 5-25), each one-unit increase in OAHI in men was estimated to increase stroke risk by 6\% (95\% confidence interval, 2-10\%). In women, stroke was not significantly associated with OAHI quartiles, but increased risk was observed at an OAHI greater than 25.

CONCLUSIONS: The strong adjusted association between ischemic stroke and OAHI in community-dwelling men with mild to moderate sleep apnea suggests that this is an appropriate target for future stroke prevention trials.

}, keywords = {Aged, Female, Humans, Longitudinal Studies, Male, Middle Aged, Polysomnography, Proportional Hazards Models, Prospective Studies, Severity of Illness Index, Sex Factors, Sleep Apnea, Obstructive, Stroke}, issn = {1535-4970}, doi = {10.1164/rccm.200911-1746OC}, author = {Redline, Susan and Yenokyan, Gayane and Gottlieb, Daniel J and Shahar, Eyal and O{\textquoteright}Connor, George T and Resnick, Helaine E and Diener-West, Marie and Sanders, Mark H and Wolf, Philip A and Geraghty, Estella M and Ali, Tauqeer and Lebowitz, Michael and Punjabi, Naresh M} } @article {1205, title = {Polymorphisms in the mitochondrial DNA control region and frailty in older adults.}, journal = {PLoS One}, volume = {5}, year = {2010}, month = {2010 Jun 10}, pages = {e11069}, abstract = {

BACKGROUND: Mitochondria contribute to the dynamics of cellular metabolism, the production of reactive oxygen species, and apoptotic pathways. Consequently, mitochondrial function has been hypothesized to influence functional decline and vulnerability to disease in later life. Mitochondrial genetic variation may contribute to altered susceptibility to the frailty syndrome in older adults.

METHODOLOGY/PRINCIPAL FINDINGS: To assess potential mitochondrial genetic contributions to the likelihood of frailty, mitochondrial DNA (mtDNA) variation was compared in frail and non-frail older adults. Associations of selected SNPs with a muscle strength phenotype were also explored. Participants were selected from the Cardiovascular Health Study (CHS), a population-based observational study (1989-1990, 1992-1993). At baseline, frailty was identified as the presence of three or more of five indicators (weakness, slowness, shrinking, low physical activity, and exhaustion). mtDNA variation was assessed in a pilot study, including 315 individuals selected as extremes of the frailty phenotype, using an oligonucleotide sequencing microarray based on the Revised Cambridge Reference Sequence. Three mtDNA SNPs were statistically significantly associated with frailty across all pilot participants or in sex-stratified comparisons: mt146, mt204, and mt228. In addition to pilot participants, 4,459 additional men and women with frailty classifications, and an overlapping subset of 4,453 individuals with grip strength measurements, were included in the study population genotyped at mt204 and mt228. In the study population, the mt204 C allele was associated with greater likelihood of frailty (adjusted odds ratio = 2.04, 95\% CI = 1.07-3.60, p = 0.020) and lower grip strength (adjusted coefficient = -2.04, 95\% CI = -3.33- -0.74, p = 0.002).

CONCLUSIONS: This study supports a role for mitochondrial genetic variation in the frailty syndrome and later life muscle strength, demonstrating the importance of the mitochondrial genome in complex geriatric phenotypes.

}, keywords = {Aged, Aged, 80 and over, DNA, Mitochondrial, Female, Frail Elderly, Genotype, Humans, Male, Polymorphism, Genetic}, issn = {1932-6203}, doi = {10.1371/journal.pone.0011069}, author = {Moore, Ann Z and Biggs, Mary L and Matteini, Amy and O{\textquoteright}Connor, Ashley and McGuire, Sarah and Beamer, Brock A and Fallin, M Danielle and Fried, Linda P and Walston, Jeremy and Chakravarti, Aravinda and Arking, Dan E} } @article {1195, title = {Prevalence of asymptomatic carotid artery stenosis in the general population: an individual participant data meta-analysis.}, journal = {Stroke}, volume = {41}, year = {2010}, month = {2010 Jun}, pages = {1294-7}, abstract = {

BACKGROUND AND PURPOSE: In the discussion on the cost-effectiveness of screening, precise estimates of severe asymptomatic carotid stenosis are vital. Accordingly, we assessed the prevalence of moderate and severe asymptomatic carotid stenosis by age and sex using pooled cohort data.

METHODS: We performed an individual participant data meta-analysis (23 706 participants) of 4 population-based studies (Malm{\"o} Diet and Cancer Study, Troms{\o}, Carotid Atherosclerosis Progression Study, and Cardiovascular Health Study). Outcomes of interest were asymptomatic moderate (> or =50\%) and severe carotid stenosis (> or =70\%).

RESULTS: Prevalence of moderate asymptomatic carotid stenosis ranged from 0.2\% (95\% CI, 0.0\% to 0.4\%) in men aged <50 years to 7.5\% (5.2\% to 10.5\%) in men aged > or =80 years. For women, this prevalence increased from 0\% (0\% to 0.2\%) to 5.0\% (3.1\% to 7.5\%). Prevalence of severe asymptomatic carotid stenosis ranged from 0.1\% (0.0\% to 0.3\%) in men aged <50 years to 3.1\% (1.7\% to 5.3\%) in men aged > or =80. For women, this prevalence increased from 0\% (0.0\% to 0.2\%) to 0.9\% (0.3\% to 2.4\%).

CONCLUSIONS: The prevalence of severe asymptomatic carotid stenosis in the general population ranges from 0\% to 3.1\%, which is useful information in the discussion on the cost-effectiveness of screening.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Carotid Stenosis, Female, Humans, Male, Mass Screening, Middle Aged, Prevalence, Severity of Illness Index, Sex Factors}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.110.581058}, author = {de Weerd, Marjolein and Greving, Jacoba P and Hedblad, Bo and Lorenz, Matthias W and Mathiesen, Ellisiv B and O{\textquoteright}Leary, Daniel H and Rosvall, Maria and Sitzer, Matthias and Buskens, Erik and Bots, Michiel L} } @article {1215, title = {Prospective study of obstructive sleep apnea and incident coronary heart disease and heart failure: the sleep heart health study.}, journal = {Circulation}, volume = {122}, year = {2010}, month = {2010 Jul 27}, pages = {352-60}, abstract = {

BACKGROUND: Clinic-based observational studies in men have reported that obstructive sleep apnea is associated with an increased incidence of coronary heart disease. The objective of this study was to assess the relation of obstructive sleep apnea to incident coronary heart disease and heart failure in a general community sample of adult men and women.

METHODS AND RESULTS: A total of 1927 men and 2495 women > or =40 years of age and free of coronary heart disease and heart failure at the time of baseline polysomnography were followed up for a median of 8.7 years in this prospective longitudinal epidemiological study. After adjustment for multiple risk factors, obstructive sleep apnea was a significant predictor of incident coronary heart disease (myocardial infarction, revascularization procedure, or coronary heart disease death) only in men < or =70 years of age (adjusted hazard ratio 1.10 [95\% confidence interval 1.00 to 1.21] per 10-unit increase in apnea-hypopnea index [AHI]) but not in older men or in women of any age. Among men 40 to 70 years old, those with AHI > or =30 were 68\% more likely to develop coronary heart disease than those with AHI <5. Obstructive sleep apnea predicted incident heart failure in men but not in women (adjusted hazard ratio 1.13 [95\% confidence interval 1.02 to 1.26] per 10-unit increase in AHI). Men with AHI > or =30 were 58\% more likely to develop heart failure than those with AHI <5.

CONCLUSIONS: Obstructive sleep apnea is associated with an increased risk of incident heart failure in community-dwelling middle-aged and older men; its association with incident coronary heart disease in this sample is equivocal.

}, keywords = {Adult, Aged, Coronary Disease, Female, Heart Failure, Humans, Longitudinal Studies, Male, Middle Aged, Polysomnography, Proportional Hazards Models, Prospective Studies, Sleep Apnea, Obstructive, Survival Analysis}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.109.901801}, author = {Gottlieb, Daniel J and Yenokyan, Gayane and Newman, Anne B and O{\textquoteright}Connor, George T and Punjabi, Naresh M and Quan, Stuart F and Redline, Susan and Resnick, Helaine E and Tong, Elisa K and Diener-West, Marie and Shahar, Eyal} } @article {1175, title = {Reproductive history, hormone replacement, and incidence of venous thromboembolism: the Longitudinal Investigation of Thromboembolism Etiology.}, journal = {Br J Haematol}, volume = {149}, year = {2010}, month = {2010 May}, pages = {606-12}, abstract = {

Numerous studies have established that hormone replacement therapy increases the risk of venous thromboembolism (VTE), but an association of endogenous oestrogen exposure with the incidence of VTE is not fully established. Using a prospective design combining the Atherosclerosis Risk in Communities and the Cardiovascular Health Study cohort, we studied the 12-year risk of VTE in relation to hormone replacement therapy use, age at menopause, parity number, and type of menopause in 8236 post-menopausal women. There were no significant associations of age at menopause, parity number, or type of menopause with incidence of VTE. Women currently using hormone replacement had a 1.6-times higher multivariate-adjusted rate ratio (RR) of VTE compared with those without hormone use in the time-dependent model (RR=1.60, 95\% confidence interval [CI], 1.06-2.36; Population attributable fraction=6.7\%, 95\%CI, 1.0-10.3). When we excluded women with 1-year or more duration of hormone therapy at baseline, the association was stronger (RR=2.02, 95\%CI, 1.31-3.12). The multivariate-adjusted RRs of VTE for current users tended to be higher in those with idiopathic VTE (RR=2.40, 95\%CI, 1.40-4.12) than those with secondary VTE (RR=1.08, 95\%CI, 0.63-1.85). Hormone replacement therapy is associated with increased risk of VTE, but reproductive history markers of endogenous oestrogen exposure were not associated with VTE.

}, keywords = {Age Factors, Aged, Epidemiologic Methods, Estrogen Replacement Therapy, Female, Humans, Male, Middle Aged, Parity, Pregnancy, Reproductive History, United States, Venous Thromboembolism}, issn = {1365-2141}, doi = {10.1111/j.1365-2141.2010.08128.x}, author = {Ohira, Tetsuya and Folsom, Aaron R and Cushman, Mary and White, Richard H and Hannan, Peter J and Rosamond, Wayne D and Heckbert, Susan R} } @article {1198, title = {Triglyceride-mediated pathways and coronary disease: collaborative analysis of 101 studies.}, journal = {Lancet}, volume = {375}, year = {2010}, month = {2010 May 08}, pages = {1634-9}, abstract = {

BACKGROUND: Whether triglyceride-mediated pathways are causally relevant to coronary heart disease is uncertain. We studied a genetic variant that regulates triglyceride concentration to help judge likelihood of causality.

METHODS: We assessed the -1131T>C (rs662799) promoter polymorphism of the apolipoprotein A5 (APOA5) gene in relation to triglyceride concentration, several other risk factors, and risk of coronary heart disease. We compared disease risk for genetically-raised triglyceride concentration (20,842 patients with coronary heart disease, 35,206 controls) with that recorded for equivalent differences in circulating triglyceride concentration in prospective studies (302 430 participants with no history of cardiovascular disease; 12,785 incident cases of coronary heart disease during 2.79 million person-years at risk). We analysed -1131T>C in 1795 people without a history of cardiovascular disease who had information about lipoprotein concentration and diameter obtained by nuclear magnetic resonance spectroscopy.

FINDINGS: The minor allele frequency of -1131T>C was 8\% (95\% CI 7-9). -1131T>C was not significantly associated with several non-lipid risk factors or LDL cholesterol, and it was modestly associated with lower HDL cholesterol (mean difference per C allele 3.5\% [95\% CI 2.6-4.6]; 0.053 mmol/L [0.039-0.068]), lower apolipoprotein AI (1.3\% [0.3-2.3]; 0.023 g/L [0.005-0.041]), and higher apolipoprotein B (3.2\% [1.3-5.1]; 0.027 g/L [0.011-0.043]). By contrast, for every C allele inherited, mean triglyceride concentration was 16.0\% (95\% CI 12.9-18.7), or 0.25 mmol/L (0.20-0.29), higher (p=4.4x10(-24)). The odds ratio for coronary heart disease was 1.18 (95\% CI 1.11-1.26; p=2.6x10(-7)) per C allele, which was concordant with the hazard ratio of 1.10 (95\% CI 1.08-1.12) per 16\% higher triglyceride concentration recorded in prospective studies. -1131T>C was significantly associated with higher VLDL particle concentration (mean difference per C allele 12.2 nmol/L [95\% CI 7.7-16.7]; p=9.3x10(-8)) and smaller HDL particle size (0.14 nm [0.08-0.20]; p=7.0x10(-5)), factors that could mediate the effects of triglyceride.

INTERPRETATION: These data are consistent with a causal association between triglyceride-mediated pathways and coronary heart disease.

FUNDING: British Heart Foundation, UK Medical Research Council, Novartis.

}, keywords = {Apolipoprotein A-V, Apolipoproteins, Apolipoproteins A, Coronary Disease, Gene Frequency, Genotype, Humans, Lipids, Lipoproteins, HDL, Lipoproteins, LDL, Lipoproteins, VLDL, Mendelian Randomization Analysis, Particle Size, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, Risk Factors, Triglycerides}, issn = {1474-547X}, doi = {10.1016/S0140-6736(10)60545-4}, author = {Sarwar, Nadeem and Sandhu, Manjinder S and Ricketts, Sally L and Butterworth, Adam S and Di Angelantonio, Emanuele and Boekholdt, S Matthijs and Ouwehand, Willem and Watkins, Hugh and Samani, Nilesh J and Saleheen, Danish and Lawlor, Debbie and Reilly, Muredach P and Hingorani, Aroon D and Talmud, Philippa J and Danesh, John} } @article {1348, title = {Antihypertensive medication use and change in kidney function in elderly adults: a marginal structural model analysis.}, journal = {Int J Biostat}, volume = {7}, year = {2011}, month = {2011}, pages = {Article 34}, abstract = {

BACKGROUND: The evidence for the effectiveness of antihypertensive medication use for slowing decline in kidney function in older persons is sparse. We addressed this research question by the application of novel methods in a marginal structural model.

METHODS: Change in kidney function was measured by two or more measures of cystatin C in 1,576 hypertensive participants in the Cardiovascular Health Study over 7 years of follow-up (1989-1997 in four U.S. communities). The exposure of interest was antihypertensive medication use. We used a novel estimator in a marginal structural model to account for bias due to confounding and informative censoring.

RESULTS: The mean annual decline in eGFR was 2.41 {\textpm} 4.91 mL/min/1.73 m(2). In unadjusted analysis, antihypertensive medication use was not associated with annual change in kidney function. Traditional multivariable regression did not substantially change these estimates. Based on a marginal structural analysis, persons on antihypertensives had slower declines in kidney function; participants had an estimated 0.88 (0.13, 1.63) ml/min/1.73 m(2) per year slower decline in eGFR compared with persons on no treatment. In a model that also accounted for bias due to informative censoring, the estimate for the treatment effect was 2.23 (-0.13, 4.59) ml/min/1.73 m(2) per year slower decline in eGFR.

CONCLUSION: In summary, estimates from a marginal structural model suggested that antihypertensive therapy was associated with preserved kidney function in hypertensive elderly adults. Confirmatory studies may provide power to determine the strength and validity of the findings.

}, keywords = {Aged, Antihypertensive Agents, Cystatin C, Data Interpretation, Statistical, Female, Glomerular Filtration Rate, Humans, Hypertension, Kidney, Longitudinal Studies, Male, Models, Statistical}, issn = {1557-4679}, doi = {10.2202/1557-4679.1320}, author = {Odden, Michelle C and Tager, Ira B and van der Laan, Mark J and Delaney, Joseph A C and Peralta, Carmen A and Katz, Ronit and Sarnak, Mark J and Psaty, Bruce M and Shlipak, Michael G} } @article {1251, title = {Association of coagulation-related and inflammation-related genes and factor VIIc levels with stroke: the Cardiovascular Health Study.}, journal = {J Thromb Haemost}, volume = {9}, year = {2011}, month = {2011 Feb}, pages = {267-74}, abstract = {

BACKGROUND: Thrombosis and inflammation are critical in stroke etiology, but associations of coagulation and inflammation gene variants with stroke, and particularly factor VII levels, are inconclusive.

OBJECTIVES: To test the associations between 736 single-nucleotide polymorphisms (SNPs) between tagging haplotype patterns of 130 coagulation and inflammation genes, and stroke events, in the 5888 participants aged >= 65 years of the observational Cardiovascular Health Study cohort.

PATIENTS/METHODS: With 16 years of follow-up, age-adjusted and sex-adjusted Cox models were used to estimate associations of SNPs and FVIIc levels with future stroke.

RESULTS: Eight hundred and fifteen strokes occurred in 5255 genotyped participants without baseline stroke (748 ischemic strokes; 586 among whites). Among whites, six SNPs were associated with stroke, with a nominal P-value of < 0.01: rs6046 and rs3093261 (F7); rs4918851 and rs3781387 (HABP2); and rs3138055 (NFKB1A) and rs4648004 (NFKB1). Two of these SNPs were associated with FVIIc levels (units of percentage activity): rs6046 (β = -18.5, P = 2.38 {\texttimes} 10(-83)) and rs3093261 (β = 2.99, P = 3.93 {\texttimes} 10(-6)). After adjustment for age, sex, race, and cardiovascular risk factors, the association of FVIIc quintiles (Q) with stroke were as follows (hazard ratio; 95\% confidence interval): Q1, reference; Q2, 1.4, 1.1-1.9); Q3, 1.1, 0.8-1.5); Q4, 1.5, 1.1-2.0); and Q5, 1.6, 1.2-2.2). Associations between SNPs and stroke were independent of FVIIc levels.

CONCLUSIONS: Variations in FVII-related genes and FVIIc levels were associated with risk of incident ischemic stroke in this elderly cohort, suggesting a potential causal role for FVII in stroke etiology.

}, keywords = {Blood Coagulation Factors, Cardiovascular Diseases, Cohort Studies, Factor VII, Female, Humans, Inflammation, Male, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, Stroke}, issn = {1538-7836}, doi = {10.1111/j.1538-7836.2010.04149.x}, author = {Zakai, N A and Lange, L and Longstreth, W T and O{\textquoteright}Meara, E S and Kelley, J L and Fornage, M and Nikerson, D and Cushman, M and Reiner, A P} } @article {1336, title = {Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Sep}, pages = {e1002292}, abstract = {

Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR <60ml/min/1.73m(2) at follow-up) and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). SNPs at 11 of the 16 loci (UMOD, PRKAG2, ANXA9, DAB2, SHROOM3, DACH1, STC1, SLC34A1, ALMS1/NAT8, UBE2Q2, and GCKR) were associated with incident CKD; p-values ranged from p = 4.1e-9 in UMOD to p = 0.03 in GCKR. After adjusting for baseline eGFR, six of these loci remained significantly associated with incident CKD (UMOD, PRKAG2, ANXA9, DAB2, DACH1, and STC1). SNPs in UMOD (OR = 0.92, p = 0.04) and GCKR (OR = 0.93, p = 0.03) were nominally associated with ESRD. In summary, the majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent. Additional work is required to characterize the association of genetic determinants of CKD and ESRD at different stages of disease progression.

}, keywords = {Adaptor Proteins, Signal Transducing, Adult, Aged, Chronic Disease, Creatinine, European Continental Ancestry Group, Female, Follow-Up Studies, Genetic Association Studies, Humans, Kidney Diseases, Kidney Failure, Chronic, Male, Middle Aged, Polymorphism, Single Nucleotide, Receptor, Epidermal Growth Factor, Uromodulin}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002292}, author = {B{\"o}ger, Carsten A and Gorski, Mathias and Li, Man and Hoffmann, Michael M and Huang, Chunmei and Yang, Qiong and Teumer, Alexander and Krane, Vera and O{\textquoteright}Seaghdha, Conall M and Kutalik, Zolt{\'a}n and Wichmann, H-Erich and Haak, Thomas and Boes, Eva and Coassin, Stefan and Coresh, Josef and Kollerits, Barbara and Haun, Margot and Paulweber, Bernhard and K{\"o}ttgen, Anna and Li, Guo and Shlipak, Michael G and Powe, Neil and Hwang, Shih-Jen and Dehghan, Abbas and Rivadeneira, Fernando and Uitterlinden, Andre and Hofman, Albert and Beckmann, Jacques S and Kr{\"a}mer, Bernhard K and Witteman, Jacqueline and Bochud, Murielle and Siscovick, David and Rettig, Rainer and Kronenberg, Florian and Wanner, Christoph and Thadhani, Ravi I and Heid, Iris M and Fox, Caroline S and Kao, W H} } @article {1562, title = {Association of genomic loci from a cardiovascular gene SNP array with fibrinogen levels in European Americans and African-Americans from six cohort studies: the Candidate Gene Association Resource (CARe).}, journal = {Blood}, volume = {117}, year = {2011}, month = {2011 Jan 06}, pages = {268-75}, abstract = {

Several common genomic loci, involving various immunity- and metabolism-related genes, have been associated with plasma fibrinogen in European Americans (EAs). The genetic determinants of fibrinogen in African Americans (AAs) are poorly characterized. Using a vascular gene-centric array in 23,634 EA and 6657 AA participants from 6 studies comprising the Candidate Gene Association Resource project, we examined the association of 47,539 common and lower frequency variants with fibrinogen concentration. We identified a rare Pro265Leu variant in FGB (rs6054) associated with lower fibrinogen. Common fibrinogen gene single nucleotide polymorphisms (FGB rs1800787 and FGG rs2066861) significantly associated with fibrinogen in EAs were prevalent in AAs and showed consistent associations. Several fibrinogen locus single nucleotide polymorphism associated with lower fibrinogen were exclusive to AAs; these include a newly reported association with FGA rs10050257. For IL6R, IL1RN, and NLRP3 inflammatory gene loci, associations with fibrinogen were concordant between EAs and AAs, but not at other loci (CPS1, PCCB, and SCL22A5-IRF1). The association of FGG rs2066861 with fibrinogen differed according to assay type used to measure fibrinogen. Further characterization of common and lower-frequency genetic variants that contribute to interpopulation differences in fibrinogen phenotype may help refine our understanding of the contribution of hemostasis and inflammation to atherothrombotic risk.

}, keywords = {Adult, African Americans, Aged, Cardiovascular Diseases, Cohort Studies, European Continental Ancestry Group, Female, Fibrinogen, Genetic Predisposition to Disease, Haplotypes, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1528-0020}, doi = {10.1182/blood-2010-06-289546}, author = {Wassel, Christina L and Lange, Leslie A and Keating, Brendan J and Taylor, Kira C and Johnson, Andrew D and Palmer, Cameron and Ho, Lindsey A and Smith, Nicholas L and Lange, Ethan M and Li, Yun and Yang, Qiong and Delaney, Joseph A and Tang, Weihong and Tofler, Geoffrey and Redline, Susan and Taylor, Herman A and Wilson, James G and Tracy, Russell P and Jacobs, David R and Folsom, Aaron R and Green, David and O{\textquoteright}Donnell, Christopher J and Reiner, Alexander P} } @article {1279, title = {Association of HSP70 and its co-chaperones with Alzheimer{\textquoteright}s disease.}, journal = {J Alzheimers Dis}, volume = {25}, year = {2011}, month = {2011}, pages = {93-102}, abstract = {

The heat shock protein (HSP) 70 family has been implicated in the pathology of Alzheimer{\textquoteright}s disease (AD). In this study, we examined common genetic variations in the 80 genes encoding HSP70 and its co-chaperones. We conducted a study in a series of 462 patients and 5238 unaffected participants derived from the Rotterdam Study, a population-based study including 7983 persons aged 55 years and older. We genotyped a total of 12,053 Single Nucleotide Polymorphisms (SNPs) using the HumanHap550K Genotyping BeadChip from Illumina. Replication was performed in two independent cohort studies, the Framingham Heart study (FHS; n = 806) and Cardiovascular Health Study (CHS; n = 2150). When adjusting for multiple testing, we found a small but consistent, though not significant effect of rs12118313 located 32 kb from PFDN2, with an OR of 1.19 (p-value from meta-analysis = 0.003). However this SNP was in the intron of another gene, suggesting it is unlikely this SNP reflects the effect of PFDN2. In a formal pathway analysis we found nominally significant evidence for an association of BAG, DNAJA and prefoldin with AD. These findings corroborate with those of a study of 2032 AD patients and 5328 controls, in which several members of the prefoldin family showed evidence for association to AD. Our study did not reveal evidence for a genetic variant if the HSP70 family with a major effect on AD. However, our findings of the single SNP analysis and pathway analysis suggest that multiple genetic variants in prefoldin are associated with AD.

}, keywords = {Aged, Aged, 80 and over, Alzheimer Disease, Cohort Studies, Genetic Association Studies, Genetic Variation, HSP70 Heat-Shock Proteins, Humans, Middle Aged, Molecular Chaperones, Polymorphism, Single Nucleotide}, issn = {1875-8908}, doi = {10.3233/JAD-2011-101560}, author = {Broer, Linda and Ikram, Mohammad Arfan and Schuur, Maaike and DeStefano, Anita L and Bis, Joshua C and Liu, Fan and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Beiser, Alexa S and Longstreth, William T and Hofman, Albert and Aulchenko, Yurii and Seshadri, Sudha and Fitzpatrick, Annette L and Oostra, Ben A and Breteler, Monique M B and van Duijn, Cornelia M} } @article {1302, title = {Association of serum phosphate levels with aortic valve sclerosis and annular calcification: the cardiovascular health study.}, journal = {J Am Coll Cardiol}, volume = {58}, year = {2011}, month = {2011 Jul 12}, pages = {291-7}, abstract = {

OBJECTIVES: This study was conducted to evaluate mineral metabolism markers as potential risk factors for calcific aortic valve disease.

BACKGROUND: Mineral metabolism disturbances are common among older people and may contribute to cardiac valvular calcification. Associations of serum mineral metabolism markers with cardiac valvular calcification have not been evaluated in a well-characterized general population of older adults.

METHODS: We measured serum levels of phosphate, calcium, parathyroid hormone, and 25-hydroxyvitamin D in 1,938 Cardiovascular Health Study participants who were free of clinical cardiovascular disease and who underwent echocardiographic measurements of aortic valve sclerosis (AVS), mitral annular calcification (MAC), and aortic annular calcification (AAC). We used logistic regression models to estimate associations of mineral metabolism markers with AVS, MAC, and AAC after adjustment for relevant confounding variables, including kidney function.

RESULTS: The respective prevalences of AVS, MAC, and AAC were 54\%, 39\%, and 44\%. Each 0.5 mg/dl higher serum phosphate concentration was associated with greater adjusted odds of AVS (odds ratio [OR]: 1.17, 95\% confidence interval [CI]: 1.04 to 1.31, p = 0.01), MAC (OR: 1.12, 95\% CI: 1.00 to 1.26, p = 0.05), and AAC (OR: 1.12, 95\% CI: 0.99 to 1.25, p = 0.05). In contrast, serum calcium, parathyroid hormone, and 25-hydroxyvitamin D concentrations were not associated with aortic or mitral calcification.

CONCLUSIONS: Higher serum phosphate levels within the normal range were associated with valvular and annular calcification in a community-based cohort of older adults. Phosphate may be a novel risk factor for calcific aortic valve disease and warrants further study.

}, keywords = {Aged, Aortic Valve, Calcinosis, Calcium, Female, Heart Valve Diseases, Humans, Male, Mitral Valve, Parathyroid Hormone, Phosphates, Risk Factors, Sclerosis, Vitamin D}, issn = {1558-3597}, doi = {10.1016/j.jacc.2010.11.073}, author = {Linefsky, Jason P and O{\textquoteright}Brien, Kevin D and Katz, Ronit and de Boer, Ian H and Barasch, Eddy and Jenny, Nancy S and Siscovick, David S and Kestenbaum, Bryan} } @article {1274, title = {A bivariate genome-wide approach to metabolic syndrome: STAMPEED consortium.}, journal = {Diabetes}, volume = {60}, year = {2011}, month = {2011 Apr}, pages = {1329-39}, abstract = {

OBJECTIVE The metabolic syndrome (MetS) is defined as concomitant disorders of lipid and glucose metabolism, central obesity, and high blood pressure, with an increased risk of type 2 diabetes and cardiovascular disease. This study tests whether common genetic variants with pleiotropic effects account for some of the correlated architecture among five metabolic phenotypes that define MetS. RESEARCH DESIGN AND METHODS Seven studies of the STAMPEED consortium, comprising 22,161 participants of European ancestry, underwent genome-wide association analyses of metabolic traits using a panel of \~{}2.5 million imputed single nucleotide polymorphisms (SNPs). Phenotypes were defined by the National Cholesterol Education Program (NCEP) criteria for MetS in pairwise combinations. Individuals exceeding the NCEP thresholds for both traits of a pair were considered affected. RESULTS Twenty-nine common variants were associated with MetS or a pair of traits. Variants in the genes LPL, CETP, APOA5 (and its cluster), GCKR (and its cluster), LIPC, TRIB1, LOC100128354/MTNR1B, ABCB11, and LOC100129150 were further tested for their association with individual qualitative and quantitative traits. None of the 16 top SNPs (one per gene) associated simultaneously with more than two individual traits. Of them 11 variants showed nominal associations with MetS per se. The effects of 16 top SNPs on the quantitative traits were relatively small, together explaining from \~{}9\% of the variance in triglycerides, 5.8\% of high-density lipoprotein cholesterol, 3.6\% of fasting glucose, and 1.4\% of systolic blood pressure. CONCLUSIONS Qualitative and quantitative pleiotropic tests on pairs of traits indicate that a small portion of the covariation in these traits can be explained by the reported common genetic variants.

}, keywords = {Adult, Aged, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Meta-Analysis as Topic, Metabolic Syndrome, Middle Aged, Phenotype, Polymorphism, Single Nucleotide}, issn = {1939-327X}, doi = {10.2337/db10-1011}, author = {Kraja, Aldi T and Vaidya, Dhananjay and Pankow, James S and Goodarzi, Mark O and Assimes, Themistocles L and Kullo, Iftikhar J and Sovio, Ulla and Mathias, Rasika A and Sun, Yan V and Franceschini, Nora and Absher, Devin and Li, Guo and Zhang, Qunyuan and Feitosa, Mary F and Glazer, Nicole L and Haritunians, Talin and Hartikainen, Anna-Liisa and Knowles, Joshua W and North, Kari E and Iribarren, Carlos and Kral, Brian and Yanek, Lisa and O{\textquoteright}Reilly, Paul F and McCarthy, Mark I and Jaquish, Cashell and Couper, David J and Chakravarti, Aravinda and Psaty, Bruce M and Becker, Lewis C and Province, Michael A and Boerwinkle, Eric and Quertermous, Thomas and Palotie, Leena and Jarvelin, Marjo-Riitta and Becker, Diane M and Kardia, Sharon L R and Rotter, Jerome I and Chen, Yii-Der Ida and Borecki, Ingrid B} } @article {1280, title = {The contribution of a 9p21.3 variant, a KIF6 variant, and C-reactive protein to predicting risk of myocardial infarction in a prospective study.}, journal = {BMC Cardiovasc Disord}, volume = {11}, year = {2011}, month = {2011 Mar 15}, pages = {10}, abstract = {

BACKGROUND: Genetic risk factors might improve prediction of coronary events. Several variants at chromosome 9p21.3 have been widely reported to be associated with coronary heart disease (CHD) in prospective and case-control studies. A variant of KIF6 (719Arg) has also been reported to be associated with increased risk of CHD in large prospective studies, but not in case-control studies. We asked whether the addition of genetic information (the 9p21.3 or KIF6 variants) or a well-established non-genetic risk factor (C-reactive protein [CRP]) can improve risk prediction by the Framingham Risk Score (FRS) in the Cardiovascular Health Study (CHS)--a prospective observational study of risk factors for cardiovascular disease among > 5,000 participants aged 65 or older.

METHODS: Improvement of risk prediction was assessed by change in the area under the receiver-operator characteristic curve (AUC) and by net reclassification improvement (NRI).

RESULTS: Among white participants the FRS was improved by addition of KIF6 719Arg carrier status among men as assessed by the AUC (from 0.581 to 0.596, P = 0.03) but not by NRI (NRI = 0.027, P = 0.32). Adding both CRP and 719Arg carrier status to the FRS improved risk prediction by the AUC (0.608, P = 0.02) and NRI (0.093, P = 0.008) in men, but not women (P >= 0.24).

CONCLUSIONS: While none of these risk markers individually or in combination improved risk prediction among women, a combination of KIF6 719Arg carrier status and CRP levels modestly improved risk prediction among white men; although this improvement is not significant after multiple-testing correction. These observations should be investigated in other prospective studies.

}, keywords = {African Continental Ancestry Group, Aged, Aged, 80 and over, C-Reactive Protein, Case-Control Studies, European Continental Ancestry Group, Female, Follow-Up Studies, Genetic Variation, Humans, Kinesin, Male, Myocardial Infarction, Predictive Value of Tests, Prospective Studies, Risk Factors}, issn = {1471-2261}, doi = {10.1186/1471-2261-11-10}, author = {Shiffman, Dov and O{\textquoteright}Meara, Ellen S and Rowland, Charles M and Louie, Judy Z and Cushman, Mary and Tracy, Russell P and Devlin, James J and Psaty, Bruce M} } @article {1271, title = {CUBN is a gene locus for albuminuria.}, journal = {J Am Soc Nephrol}, volume = {22}, year = {2011}, month = {2011 Mar}, pages = {555-70}, abstract = {

Identification of genetic risk factors for albuminuria may alter strategies for early prevention of CKD progression, particularly among patients with diabetes. Little is known about the influence of common genetic variants on albuminuria in both general and diabetic populations. We performed a meta-analysis of data from 63,153 individuals of European ancestry with genotype information from genome-wide association studies (CKDGen Consortium) and from a large candidate gene study (CARe Consortium) to identify susceptibility loci for the quantitative trait urinary albumin-to-creatinine ratio (UACR) and the clinical diagnosis microalbuminuria. We identified an association between a missense variant (I2984V) in the CUBN gene, which encodes cubilin, and both UACR (P = 1.1 {\texttimes} 10(-11)) and microalbuminuria (P = 0.001). We observed similar associations among 6981 African Americans in the CARe Consortium. The associations between this variant and both UACR and microalbuminuria were significant in individuals of European ancestry regardless of diabetes status. Finally, this variant associated with a 41\% increased risk for the development of persistent microalbuminuria during 20 years of follow-up among 1304 participants with type 1 diabetes in the prospective DCCT/EDIC Study. In summary, we identified a missense CUBN variant that associates with levels of albuminuria in both the general population and in individuals with diabetes.

}, keywords = {African Continental Ancestry Group, Albuminuria, European Continental Ancestry Group, Genetic Loci, Genetic Predisposition to Disease, Humans, Mutation, Missense, Receptors, Cell Surface}, issn = {1533-3450}, doi = {10.1681/ASN.2010060598}, author = {B{\"o}ger, Carsten A and Chen, Ming-Huei and Tin, Adrienne and Olden, Matthias and K{\"o}ttgen, Anna and de Boer, Ian H and Fuchsberger, Christian and O{\textquoteright}Seaghdha, Conall M and Pattaro, Cristian and Teumer, Alexander and Liu, Ching-Ti and Glazer, Nicole L and Li, Man and O{\textquoteright}Connell, Jeffrey R and Tanaka, Toshiko and Peralta, Carmen A and Kutalik, Zolt{\'a}n and Luan, Jian{\textquoteright}an and Zhao, Jing Hua and Hwang, Shih-Jen and Akylbekova, Ermeg and Kramer, Holly and van der Harst, Pim and Smith, Albert V and Lohman, Kurt and de Andrade, Mariza and Hayward, Caroline and Kollerits, Barbara and T{\"o}njes, Anke and Aspelund, Thor and Ingelsson, Erik and Eiriksdottir, Gudny and Launer, Lenore J and Harris, Tamara B and Shuldiner, Alan R and Mitchell, Braxton D and Arking, Dan E and Franceschini, Nora and Boerwinkle, Eric and Egan, Josephine and Hernandez, Dena and Reilly, Muredach and Townsend, Raymond R and Lumley, Thomas and Siscovick, David S and Psaty, Bruce M and Kestenbaum, Bryan and Haritunians, Talin and Bergmann, Sven and Vollenweider, Peter and Waeber, G{\'e}rard and Mooser, Vincent and Waterworth, Dawn and Johnson, Andrew D and Florez, Jose C and Meigs, James B and Lu, Xiaoning and Turner, Stephen T and Atkinson, Elizabeth J and Leak, Tennille S and Aasar{\o}d, Knut and Skorpen, Frank and Syv{\"a}nen, Ann-Christine and Illig, Thomas and Baumert, Jens and Koenig, Wolfgang and Kr{\"a}mer, Bernhard K and Devuyst, Olivier and Mychaleckyj, Josyf C and Minelli, Cosetta and Bakker, Stephan J L and Kedenko, Lyudmyla and Paulweber, Bernhard and Coassin, Stefan and Endlich, Karlhans and Kroemer, Heyo K and Biffar, Reiner and Stracke, Sylvia and V{\"o}lzke, Henry and Stumvoll, Michael and M{\"a}gi, Reedik and Campbell, Harry and Vitart, Veronique and Hastie, Nicholas D and Gudnason, Vilmundur and Kardia, Sharon L R and Liu, Yongmei and Polasek, Ozren and Curhan, Gary and Kronenberg, Florian and Prokopenko, Inga and Rudan, Igor and Arnl{\"o}v, Johan and Hallan, Stein and Navis, Gerjan and Parsa, Afshin and Ferrucci, Luigi and Coresh, Josef and Shlipak, Michael G and Bull, Shelley B and Paterson, Nicholas J and Wichmann, H-Erich and Wareham, Nicholas J and Loos, Ruth J F and Rotter, Jerome I and Pramstaller, Peter P and Cupples, L Adrienne and Beckmann, Jacques S and Yang, Qiong and Heid, Iris M and Rettig, Rainer and Dreisbach, Albert W and Bochud, Murielle and Fox, Caroline S and Kao, W H L} } @article {1315, title = {Gender differences in tea, coffee, and cognitive decline in the elderly: the Cardiovascular Health Study.}, journal = {J Alzheimers Dis}, volume = {27}, year = {2011}, month = {2011}, pages = {553-66}, abstract = {

Although caffeine can enhance cognitive function acutely, long-term effects of consumption of caffeine-containing beverages such as tea and coffee are uncertain. Data on 4,809 participants aged 65 and older from the Cardiovascular Health Study (CHS) were used to examine the relationship of consumption of tea and coffee, assessed by food frequency questionnaire, on change in cognitive function by gender. Cognitive performance was assessed using serial Modified Mini-Mental State (3MS) examinations, which were administered annually up to 9 times. Linear mixed models were used to estimate rates of change in standard 3MS scores and scores modeled using item response theory (IRT). Models were adjusted for age, education, smoking status, clinic site, diabetes, hypertension, stroke, coronary heart disease, depression score, and APOE genotype. Over the median 7.9 years of follow-up, participants who did not consume tea or coffee declined annually an average of 1.30 points (women) and 1.11 points (men) on standard 3MS scores. In fully adjusted models using either standard or IRT 3MS scores, we found modestly reduced rates of cognitive decline for some, but not all, levels of coffee and tea consumption for women, with no consistent effect for men. Caffeine consumption was also associated with attenuation in cognitive decline in women. Dose-response relationships were not linear. These longitudinal analyses suggest a somewhat attenuated rate of cognitive decline among tea and coffee consumers compared to non-consumers in women but not in men. Whether this association is causal or due to unmeasured confounding requires further study.

}, keywords = {Aged, Aged, 80 and over, Cardiovascular Diseases, Coffee, Cognition Disorders, Cohort Studies, Female, Follow-Up Studies, Humans, Longitudinal Studies, Male, Prospective Studies, Sex Characteristics, Tea}, issn = {1875-8908}, doi = {10.3233/JAD-2011-110431}, author = {Arab, Lenore and Biggs, Mary L and O{\textquoteright}Meara, Ellen S and Longstreth, W T and Crane, Paul K and Fitzpatrick, Annette L} } @article {1568, title = {A gene-centric association scan for Coagulation Factor VII levels in European and African Americans: the Candidate Gene Association Resource (CARe) Consortium.}, journal = {Hum Mol Genet}, volume = {20}, year = {2011}, month = {2011 Sep 01}, pages = {3525-34}, abstract = {

Polymorphisms in several distinct genomic regions, including the F7 gene, were recently associated with factor VII (FVII) levels in European Americans (EAs). The genetic determinants of FVII in African Americans (AAs) are unknown. We used a 50,000 single nucleotide polymorphism (SNP) gene-centric array having dense coverage of over 2,000 candidate genes for cardiovascular disease (CVD) pathways in a community-based sample of 16,324 EA and 3898 AA participants from the Candidate Gene Association Resource (CARe) consortium. Our aim was the discovery of new genomic loci and more detailed characterization of existing loci associated with FVII levels. In EAs, we identified three new loci associated with FVII, of which APOA5 on chromosome 11q23 and HNF4A on chromosome 20q12-13 were replicated in a sample of 4289 participants from the Whitehall II study. We confirmed four previously reported FVII-associated loci (GCKR, MS4A6A, F7 and PROCR) in CARe EA samples. In AAs, the F7 and PROCR regions were significantly associated with FVII. Several of the FVII-associated regions are known to be associated with lipids and other cardiovascular-related traits. At the F7 locus, there was evidence of at least five independently associated SNPs in EAs and three independent signals in AAs. Though the variance in FVII explained by the existing loci is substantial (20\% in EA and 10\% in AA), larger sample sizes and investigation of lower frequency variants may be required to identify additional FVII-associated loci in EAs and AAs and further clarify the relationship between FVII and other CVD risk factors.

}, keywords = {Adult, African Americans, Aged, Cardiovascular Diseases, European Continental Ancestry Group, Factor VII, Female, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1460-2083}, doi = {10.1093/hmg/ddr264}, author = {Taylor, Kira C and Lange, Leslie A and Zabaneh, Delilah and Lange, Ethan and Keating, Brendan J and Tang, Weihong and Smith, Nicholas L and Delaney, Joseph A and Kumari, Meena and Hingorani, Aroon and North, Kari E and Kivimaki, Mika and Tracy, Russell P and O{\textquoteright}Donnell, Christopher J and Folsom, Aaron R and Green, David and Humphries, Steve E and Reiner, Alexander P} } @article {1284, title = {Genetic predictors of fibrin D-dimer levels in healthy adults.}, journal = {Circulation}, volume = {123}, year = {2011}, month = {2011 May 03}, pages = {1864-72}, abstract = {

BACKGROUND: Fibrin fragment D-dimer, one of several peptides produced when crosslinked fibrin is degraded by plasmin, is the most widely used clinical marker of activated blood coagulation. To identity genetic loci influencing D-dimer levels, we performed the first large-scale, genome-wide association search.

METHODS AND RESULTS: A genome-wide investigation of the genomic correlates of plasma D-dimer levels was conducted among 21 052 European-ancestry adults. Plasma levels of D-dimer were measured independently in each of 13 cohorts. Each study analyzed the association between ≈2.6 million genotyped and imputed variants across the 22 autosomal chromosomes and natural-log{\textendash}transformed D-dimer levels using linear regression in additive genetic models adjusted for age and sex. Among all variants, 74 exceeded the genome-wide significance threshold and marked 3 regions. At 1p22, rs12029080 (P=6.4{\texttimes}10(-52)) was 46.0 kb upstream from F3, coagulation factor III (tissue factor). At 1q24, rs6687813 (P=2.4{\texttimes}10(-14)) was 79.7 kb downstream of F5, coagulation factor V. At 4q32, rs13109457 (P=2.9{\texttimes}10(-18)) was located between 2 fibrinogen genes: 10.4 kb downstream from FGG and 3.0 kb upstream from FGA. Variants were associated with a 0.099-, 0.096-, and 0.061-unit difference, respectively, in natural-log{\textendash}transformed D-dimer and together accounted for 1.8\% of the total variance. When adjusted for nonsynonymous substitutions in F5 and FGA loci known to be associated with D-dimer levels, there was no evidence of an additional association at either locus.

CONCLUSIONS: Three genes were associated with fibrin D-dimer levels. Of these 3, the F3 association was the strongest, and has not been previously reported.

}, keywords = {Adult, Aged, Blood Coagulation, European Continental Ancestry Group, Factor V, Female, Fibrin Fibrinogen Degradation Products, Fibrinogen, Genetic Testing, Genome-Wide Association Study, Humans, Male, Middle Aged, Reference Values, Thromboplastin}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.110.009480}, author = {Smith, Nicholas L and Huffman, Jennifer E and Strachan, David P and Huang, Jie and Dehghan, Abbas and Trompet, Stella and Lopez, Lorna M and Shin, So-Youn and Baumert, Jens and Vitart, Veronique and Bis, Joshua C and Wild, Sarah H and Rumley, Ann and Yang, Qiong and Uitterlinden, Andr{\'e} G and Stott, David J and Davies, Gail and Carter, Angela M and Thorand, Barbara and Polasek, Ozren and McKnight, Barbara and Campbell, Harry and Rudnicka, Alicja R and Chen, Ming-Huei and Buckley, Brendan M and Harris, Sarah E and Peters, Annette and Pulanic, Drazen and Lumley, Thomas and de Craen, Anton J M and Liewald, David C and Gieger, Christian and Campbell, Susan and Ford, Ian and Gow, Alan J and Luciano, Michelle and Porteous, David J and Guo, Xiuqing and Sattar, Naveed and Tenesa, Albert and Cushman, Mary and Slagboom, P Eline and Visscher, Peter M and Spector, Tim D and Illig, Thomas and Rudan, Igor and Bovill, Edwin G and Wright, Alan F and McArdle, Wendy L and Tofler, Geoffrey and Hofman, Albert and Westendorp, Rudi G J and Starr, John M and Grant, Peter J and Karakas, Mahir and Hastie, Nicholas D and Psaty, Bruce M and Wilson, James F and Lowe, Gordon D O and O{\textquoteright}Donnell, Christopher J and Witteman, Jacqueline C M and Jukema, J Wouter and Deary, Ian J and Soranzo, Nicole and Koenig, Wolfgang and Hayward, Caroline} } @article {1325, title = {Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.}, journal = {Nature}, volume = {478}, year = {2011}, month = {2011 Sep 11}, pages = {103-9}, abstract = {

Blood pressure is a heritable trait influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (>=140 mm Hg systolic blood pressure or >=90 mm Hg diastolic blood pressure). Even small increments in blood pressure are associated with an increased risk of cardiovascular events. This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention.

}, keywords = {Africa, Asia, Blood Pressure, Cardiovascular Diseases, Coronary Artery Disease, Europe, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hypertension, Kidney Diseases, Polymorphism, Single Nucleotide, Stroke}, issn = {1476-4687}, doi = {10.1038/nature10405}, author = {Ehret, Georg B and Munroe, Patricia B and Rice, Kenneth M and Bochud, Murielle and Johnson, Andrew D and Chasman, Daniel I and Smith, Albert V and Tobin, Martin D and Verwoert, Germaine C and Hwang, Shih-Jen and Pihur, Vasyl and Vollenweider, Peter and O{\textquoteright}Reilly, Paul F and Amin, Najaf and Bragg-Gresham, Jennifer L and Teumer, Alexander and Glazer, Nicole L and Launer, Lenore and Zhao, Jing Hua and Aulchenko, Yurii and Heath, Simon and S{\~o}ber, Siim and Parsa, Afshin and Luan, Jian{\textquoteright}an and Arora, Pankaj and Dehghan, Abbas and Zhang, Feng and Lucas, Gavin and Hicks, Andrew A and Jackson, Anne U and Peden, John F and Tanaka, Toshiko and Wild, Sarah H and Rudan, Igor and Igl, Wilmar and Milaneschi, Yuri and Parker, Alex N and Fava, Cristiano and Chambers, John C and Fox, Ervin R and Kumari, Meena and Go, Min Jin and van der Harst, Pim and Kao, Wen Hong Linda and Sj{\"o}gren, Marketa and Vinay, D G and Alexander, Myriam and Tabara, Yasuharu and Shaw-Hawkins, Sue and Whincup, Peter H and Liu, Yongmei and Shi, Gang and Kuusisto, Johanna and Tayo, Bamidele and Seielstad, Mark and Sim, Xueling and Nguyen, Khanh-Dung Hoang and Lehtim{\"a}ki, Terho and Matullo, Giuseppe and Wu, Ying and Gaunt, Tom R and Onland-Moret, N Charlotte and Cooper, Matthew N and Platou, Carl G P and Org, Elin and Hardy, Rebecca and Dahgam, Santosh and Palmen, Jutta and Vitart, Veronique and Braund, Peter S and Kuznetsova, Tatiana and Uiterwaal, Cuno S P M and Adeyemo, Adebowale and Palmas, Walter and Campbell, Harry and Ludwig, Barbara and Tomaszewski, Maciej and Tzoulaki, Ioanna and Palmer, Nicholette D and Aspelund, Thor and Garcia, Melissa and Chang, Yen-Pei C and O{\textquoteright}Connell, Jeffrey R and Steinle, Nanette I and Grobbee, Diederick E and Arking, Dan E and Kardia, Sharon L and Morrison, Alanna C and Hernandez, Dena and Najjar, Samer and McArdle, Wendy L and Hadley, David and Brown, Morris J and Connell, John M and Hingorani, Aroon D and Day, Ian N M and Lawlor, Debbie A and Beilby, John P and Lawrence, Robert W and Clarke, Robert and Hopewell, Jemma C and Ongen, Halit and Dreisbach, Albert W and Li, Yali and Young, J Hunter and Bis, Joshua C and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Adair, Linda S and Lee, Nanette R and Chen, Ming-Huei and Olden, Matthias and Pattaro, Cristian and Bolton, Judith A Hoffman and K{\"o}ttgen, Anna and Bergmann, Sven and Mooser, Vincent and Chaturvedi, Nish and Frayling, Timothy M and Islam, Muhammad and Jafar, Tazeen H and Erdmann, Jeanette and Kulkarni, Smita R and Bornstein, Stefan R and Gr{\"a}ssler, J{\"u}rgen and Groop, Leif and Voight, Benjamin F and Kettunen, Johannes and Howard, Philip and Taylor, Andrew and Guarrera, Simonetta and Ricceri, Fulvio and Emilsson, Valur and Plump, Andrew and Barroso, In{\^e}s and Khaw, Kay-Tee and Weder, Alan B and Hunt, Steven C and Sun, Yan V and Bergman, Richard N and Collins, Francis S and Bonnycastle, Lori L and Scott, Laura J and Stringham, Heather M and Peltonen, Leena and Perola, Markus and Vartiainen, Erkki and Brand, Stefan-Martin and Staessen, Jan A and Wang, Thomas J and Burton, Paul R and Soler Artigas, Maria and Dong, Yanbin and Snieder, Harold and Wang, Xiaoling and Zhu, Haidong and Lohman, Kurt K and Rudock, Megan E and Heckbert, Susan R and Smith, Nicholas L and Wiggins, Kerri L and Doumatey, Ayo and Shriner, Daniel and Veldre, Gudrun and Viigimaa, Margus and Kinra, Sanjay and Prabhakaran, Dorairaj and Tripathy, Vikal and Langefeld, Carl D and Rosengren, Annika and Thelle, Dag S and Corsi, Anna Maria and Singleton, Andrew and Forrester, Terrence and Hilton, Gina and McKenzie, Colin A and Salako, Tunde and Iwai, Naoharu and Kita, Yoshikuni and Ogihara, Toshio and Ohkubo, Takayoshi and Okamura, Tomonori and Ueshima, Hirotsugu and Umemura, Satoshi and Eyheramendy, Susana and Meitinger, Thomas and Wichmann, H-Erich and Cho, Yoon Shin and Kim, Hyung-Lae and Lee, Jong-Young and Scott, James and Sehmi, Joban S and Zhang, Weihua and Hedblad, Bo and Nilsson, Peter and Smith, George Davey and Wong, Andrew and Narisu, Narisu and Stan{\v c}{\'a}kov{\'a}, Alena and Raffel, Leslie J and Yao, Jie and Kathiresan, Sekar and O{\textquoteright}Donnell, Christopher J and Schwartz, Stephen M and Ikram, M Arfan and Longstreth, W T and Mosley, Thomas H and Seshadri, Sudha and Shrine, Nick R G and Wain, Louise V and Morken, Mario A and Swift, Amy J and Laitinen, Jaana and Prokopenko, Inga and Zitting, Paavo and Cooper, Jackie A and Humphries, Steve E and Danesh, John and Rasheed, Asif and Goel, Anuj and Hamsten, Anders and Watkins, Hugh and Bakker, Stephan J L and van Gilst, Wiek H and Janipalli, Charles S and Mani, K Radha and Yajnik, Chittaranjan S and Hofman, Albert and Mattace-Raso, Francesco U S and Oostra, Ben A and Demirkan, Ayse and Isaacs, Aaron and Rivadeneira, Fernando and Lakatta, Edward G and Orr{\`u}, Marco and Scuteri, Angelo and Ala-Korpela, Mika and Kangas, Antti J and Lyytik{\"a}inen, Leo-Pekka and Soininen, Pasi and Tukiainen, Taru and W{\"u}rtz, Peter and Ong, Rick Twee-Hee and D{\"o}rr, Marcus and Kroemer, Heyo K and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Galan, Pilar and Hercberg, Serge and Lathrop, Mark and Zelenika, Diana and Deloukas, Panos and Mangino, Massimo and Spector, Tim D and Zhai, Guangju and Meschia, James F and Nalls, Michael A and Sharma, Pankaj and Terzic, Janos and Kumar, M V Kranthi and Denniff, Matthew and Zukowska-Szczechowska, Ewa and Wagenknecht, Lynne E and Fowkes, F Gerald R and Charchar, Fadi J and Schwarz, Peter E H and Hayward, Caroline and Guo, Xiuqing and Rotimi, Charles and Bots, Michiel L and Brand, Eva and Samani, Nilesh J and Polasek, Ozren and Talmud, Philippa J and Nyberg, Fredrik and Kuh, Diana and Laan, Maris and Hveem, Kristian and Palmer, Lyle J and van der Schouw, Yvonne T and Casas, Juan P and Mohlke, Karen L and Vineis, Paolo and Raitakari, Olli and Ganesh, Santhi K and Wong, Tien Y and Tai, E Shyong and Cooper, Richard S and Laakso, Markku and Rao, Dabeeru C and Harris, Tamara B and Morris, Richard W and Dominiczak, Anna F and Kivimaki, Mika and Marmot, Michael G and Miki, Tetsuro and Saleheen, Danish and Chandak, Giriraj R and Coresh, Josef and Navis, Gerjan and Salomaa, Veikko and Han, Bok-Ghee and Zhu, Xiaofeng and Kooner, Jaspal S and Melander, Olle and Ridker, Paul M and Bandinelli, Stefania and Gyllensten, Ulf B and Wright, Alan F and Wilson, James F and Ferrucci, Luigi and Farrall, Martin and Tuomilehto, Jaakko and Pramstaller, Peter P and Elosua, Roberto and Soranzo, Nicole and Sijbrands, Eric J G and Altshuler, David and Loos, Ruth J F and Shuldiner, Alan R and Gieger, Christian and Meneton, Pierre and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Gudnason, Vilmundur and Rotter, Jerome I and Rettig, Rainer and Uda, Manuela and Strachan, David P and Witteman, Jacqueline C M and Hartikainen, Anna-Liisa and Beckmann, Jacques S and Boerwinkle, Eric and Vasan, Ramachandran S and Boehnke, Michael and Larson, Martin G and Jarvelin, Marjo-Riitta and Psaty, Bruce M and Abecasis, Goncalo R and Chakravarti, Aravinda and Elliott, Paul and van Duijn, Cornelia M and Newton-Cheh, Christopher and Levy, Daniel and Caulfield, Mark J and Johnson, Toby} } @article {1301, title = {Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Jun 26}, pages = {753-60}, abstract = {

Genome-wide association studies have identified 32 loci influencing body mass index, but this measure does not distinguish lean from fat mass. To identify adiposity loci, we meta-analyzed associations between \~{}2.5 million SNPs and body fat percentage from 36,626 individuals and followed up the 14 most significant (P < 10(-6)) independent loci in 39,576 individuals. We confirmed a previously established adiposity locus in FTO (P = 3 {\texttimes} 10(-26)) and identified two new loci associated with body fat percentage, one near IRS1 (P = 4 {\texttimes} 10(-11)) and one near SPRY2 (P = 3 {\texttimes} 10(-8)). Both loci contain genes with potential links to adipocyte physiology. Notably, the body-fat-decreasing allele near IRS1 is associated with decreased IRS1 expression and with an impaired metabolic profile, including an increased visceral to subcutaneous fat ratio, insulin resistance, dyslipidemia, risk of diabetes and coronary artery disease and decreased adiponectin levels. Our findings provide new insights into adiposity and insulin resistance.

}, keywords = {Adiponectin, Adiposity, Alleles, Body Fat Distribution, Body Mass Index, Body Weight, Female, Genetic Variation, Genome-Wide Association Study, Humans, Insulin Receptor Substrate Proteins, Intracellular Signaling Peptides and Proteins, Male, Membrane Proteins, Meta-Analysis as Topic, Metabolome, Obesity, Polymorphism, Single Nucleotide, Subcutaneous Fat}, issn = {1546-1718}, doi = {10.1038/ng.866}, author = {Kilpel{\"a}inen, Tuomas O and Zillikens, M Carola and Stan{\v c}{\'a}kov{\'a}, Alena and Finucane, Francis M and Ried, Janina S and Langenberg, Claudia and Zhang, Weihua and Beckmann, Jacques S and Luan, Jian{\textquoteright}an and Vandenput, Liesbeth and Styrkarsdottir, Unnur and Zhou, Yanhua and Smith, Albert Vernon and Zhao, Jing-Hua and Amin, Najaf and Vedantam, Sailaja and Shin, So-Youn and Haritunians, Talin and Fu, Mao and Feitosa, Mary F and Kumari, Meena and Halldorsson, Bjarni V and Tikkanen, Emmi and Mangino, Massimo and Hayward, Caroline and Song, Ci and Arnold, Alice M and Aulchenko, Yurii S and Oostra, Ben A and Campbell, Harry and Cupples, L Adrienne and Davis, Kathryn E and D{\"o}ring, Angela and Eiriksdottir, Gudny and Estrada, Karol and Fern{\'a}ndez-Real, Jos{\'e} Manuel and Garcia, Melissa and Gieger, Christian and Glazer, Nicole L and Guiducci, Candace and Hofman, Albert and Humphries, Steve E and Isomaa, Bo and Jacobs, Leonie C and Jula, Antti and Karasik, David and Karlsson, Magnus K and Khaw, Kay-Tee and Kim, Lauren J and Kivimaki, Mika and Klopp, Norman and Kuhnel, Brigitte and Kuusisto, Johanna and Liu, Yongmei and Ljunggren, Osten and Lorentzon, Mattias and Luben, Robert N and McKnight, Barbara and Mellstr{\"o}m, Dan and Mitchell, Braxton D and Mooser, Vincent and Moreno, Jos{\'e} Maria and M{\"a}nnist{\"o}, Satu and O{\textquoteright}Connell, Jeffery R and Pascoe, Laura and Peltonen, Leena and Peral, Bel{\'e}n and Perola, Markus and Psaty, Bruce M and Salomaa, Veikko and Savage, David B and Semple, Robert K and Skaric-Juric, Tatjana and Sigurdsson, Gunnar and Song, Kijoung S and Spector, Timothy D and Syv{\"a}nen, Ann-Christine and Talmud, Philippa J and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Vidal-Puig, Antonio and Wild, Sarah H and Wright, Alan F and Clegg, Deborah J and Schadt, Eric and Wilson, James F and Rudan, Igor and Ripatti, Samuli and Borecki, Ingrid B and Shuldiner, Alan R and Ingelsson, Erik and Jansson, John-Olov and Kaplan, Robert C and Gudnason, Vilmundur and Harris, Tamara B and Groop, Leif and Kiel, Douglas P and Rivadeneira, Fernando and Walker, Mark and Barroso, In{\^e}s and Vollenweider, Peter and Waeber, G{\'e}rard and Chambers, John C and Kooner, Jaspal S and Soranzo, Nicole and Hirschhorn, Joel N and Stefansson, Kari and Wichmann, H-Erich and Ohlsson, Claes and O{\textquoteright}Rahilly, Stephen and Wareham, Nicholas J and Speliotes, Elizabeth K and Fox, Caroline S and Laakso, Markku and Loos, Ruth J F} } @article {6096, title = {Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 25}, pages = {1082-90}, abstract = {

Pulmonary function measures reflect respiratory health and are used in the diagnosis of chronic obstructive pulmonary disease. We tested genome-wide association with forced expiratory volume in 1 second and the ratio of forced expiratory volume in 1 second to forced vital capacity in 48,201 individuals of European ancestry with follow up of the top associations in up to an additional 46,411 individuals. We identified new regions showing association (combined P < 5 {\texttimes} 10(-8)) with pulmonary function in or near MFAP2, TGFB2, HDAC4, RARB, MECOM (also known as EVI1), SPATA9, ARMC2, NCR3, ZKSCAN3, CDC123, C10orf11, LRP1, CCDC38, MMP15, CFDP1 and KCNE2. Identification of these 16 new loci may provide insight into the molecular mechanisms regulating pulmonary function and into molecular targets for future therapy to alleviate reduced lung function.

}, keywords = {Child, European Continental Ancestry Group, Genome-Wide Association Study, Humans, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests}, issn = {1546-1718}, doi = {10.1038/ng.941}, author = {Soler Artigas, Maria and Loth, Daan W and Wain, Louise V and Gharib, Sina A and Obeidat, Ma{\textquoteright}en and Tang, Wenbo and Zhai, Guangju and Zhao, Jing Hua and Smith, Albert Vernon and Huffman, Jennifer E and Albrecht, Eva and Jackson, Catherine M and Evans, David M and Cadby, Gemma and Fornage, Myriam and Manichaikul, Ani and Lopez, Lorna M and Johnson, Toby and Aldrich, Melinda C and Aspelund, Thor and Barroso, In{\^e}s and Campbell, Harry and Cassano, Patricia A and Couper, David J and Eiriksdottir, Gudny and Franceschini, Nora and Garcia, Melissa and Gieger, Christian and Gislason, Gauti Kjartan and Grkovic, Ivica and Hammond, Christopher J and Hancock, Dana B and Harris, Tamara B and Ramasamy, Adaikalavan and Heckbert, Susan R and Heli{\"o}vaara, Markku and Homuth, Georg and Hysi, Pirro G and James, Alan L and Jankovic, Stipan and Joubert, Bonnie R and Karrasch, Stefan and Klopp, Norman and Koch, Beate and Kritchevsky, Stephen B and Launer, Lenore J and Liu, Yongmei and Loehr, Laura R and Lohman, Kurt and Loos, Ruth J F and Lumley, Thomas and Al Balushi, Khalid A and Ang, Wei Q and Barr, R Graham and Beilby, John and Blakey, John D and Boban, Mladen and Boraska, Vesna and Brisman, Jonas and Britton, John R and Brusselle, Guy G and Cooper, Cyrus and Curjuric, Ivan and Dahgam, Santosh and Deary, Ian J and Ebrahim, Shah and Eijgelsheim, Mark and Francks, Clyde and Gaysina, Darya and Granell, Raquel and Gu, Xiangjun and Hankinson, John L and Hardy, Rebecca and Harris, Sarah E and Henderson, John and Henry, Amanda and Hingorani, Aroon D and Hofman, Albert and Holt, Patrick G and Hui, Jennie and Hunter, Michael L and Imboden, Medea and Jameson, Karen A and Kerr, Shona M and Kolcic, Ivana and Kronenberg, Florian and Liu, Jason Z and Marchini, Jonathan and McKeever, Tricia and Morris, Andrew D and Olin, Anna-Carin and Porteous, David J and Postma, Dirkje S and Rich, Stephen S and Ring, Susan M and Rivadeneira, Fernando and Rochat, Thierry and Sayer, Avan Aihie and Sayers, Ian and Sly, Peter D and Smith, George Davey and Sood, Akshay and Starr, John M and Uitterlinden, Andr{\'e} G and Vonk, Judith M and Wannamethee, S Goya and Whincup, Peter H and Wijmenga, Cisca and Williams, O Dale and Wong, Andrew and Mangino, Massimo and Marciante, Kristin D and McArdle, Wendy L and Meibohm, Bernd and Morrison, Alanna C and North, Kari E and Omenaas, Ernst and Palmer, Lyle J and Pietil{\"a}inen, Kirsi H and Pin, Isabelle and Pola Sbreve Ek, Ozren and Pouta, Anneli and Psaty, Bruce M and Hartikainen, Anna-Liisa and Rantanen, Taina and Ripatti, Samuli and Rotter, Jerome I and Rudan, Igor and Rudnicka, Alicja R and Schulz, Holger and Shin, So-Youn and Spector, Tim D and Surakka, Ida and Vitart, Veronique and V{\"o}lzke, Henry and Wareham, Nicholas J and Warrington, Nicole M and Wichmann, H-Erich and Wild, Sarah H and Wilk, Jemma B and Wjst, Matthias and Wright, Alan F and Zgaga, Lina and Zemunik, Tatijana and Pennell, Craig E and Nyberg, Fredrik and Kuh, Diana and Holloway, John W and Boezen, H Marike and Lawlor, Debbie A and Morris, Richard W and Probst-Hensch, Nicole and Kaprio, Jaakko and Wilson, James F and Hayward, Caroline and K{\"a}h{\"o}nen, Mika and Heinrich, Joachim and Musk, Arthur W and Jarvis, Deborah L and Gl{\"a}ser, Sven and Jarvelin, Marjo-Riitta and Ch Stricker, Bruno H and Elliott, Paul and O{\textquoteright}Connor, George T and Strachan, David P and London, Stephanie J and Hall, Ian P and Gudnason, Vilmundur and Tobin, Martin D} } @article {1324, title = {Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 11}, pages = {1005-11}, abstract = {

Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we identified at genome-wide significance (P = 2.7 {\texttimes} 10(-8) to P = 2.3 {\texttimes} 10(-13)) four new PP loci (at 4q12 near CHIC2, 7q22.3 near PIK3CG, 8q24.12 in NOV and 11q24.3 near ADAMTS8), two new MAP loci (3p21.31 in MAP4 and 10q25.3 near ADRB1) and one locus associated with both of these traits (2q24.3 near FIGN) that has also recently been associated with SBP in east Asians. For three of the new PP loci, the estimated effect for SBP was opposite of that for DBP, in contrast to the majority of common SBP- and DBP-associated variants, which show concordant effects on both traits. These findings suggest new genetic pathways underlying blood pressure variation, some of which may differentially influence SBP and DBP.

}, keywords = {Arteries, Blood Pressure, Case-Control Studies, Follow-Up Studies, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Linkage Disequilibrium, Polymorphism, Single Nucleotide}, issn = {1546-1718}, doi = {10.1038/ng.922}, author = {Wain, Louise V and Verwoert, Germaine C and O{\textquoteright}Reilly, Paul F and Shi, Gang and Johnson, Toby and Johnson, Andrew D and Bochud, Murielle and Rice, Kenneth M and Henneman, Peter and Smith, Albert V and Ehret, Georg B and Amin, Najaf and Larson, Martin G and Mooser, Vincent and Hadley, David and D{\"o}rr, Marcus and Bis, Joshua C and Aspelund, Thor and Esko, T{\~o}nu and Janssens, A Cecile J W and Zhao, Jing Hua and Heath, Simon and Laan, Maris and Fu, Jingyuan and Pistis, Giorgio and Luan, Jian{\textquoteright}an and Arora, Pankaj and Lucas, Gavin and Pirastu, Nicola and Pichler, Irene and Jackson, Anne U and Webster, Rebecca J and Zhang, Feng and Peden, John F and Schmidt, Helena and Tanaka, Toshiko and Campbell, Harry and Igl, Wilmar and Milaneschi, Yuri and Hottenga, Jouke-Jan and Vitart, Veronique and Chasman, Daniel I and Trompet, Stella and Bragg-Gresham, Jennifer L and Alizadeh, Behrooz Z and Chambers, John C and Guo, Xiuqing and Lehtim{\"a}ki, Terho and Kuhnel, Brigitte and Lopez, Lorna M and Polasek, Ozren and Boban, Mladen and Nelson, Christopher P and Morrison, Alanna C and Pihur, Vasyl and Ganesh, Santhi K and Hofman, Albert and Kundu, Suman and Mattace-Raso, Francesco U S and Rivadeneira, Fernando and Sijbrands, Eric J G and Uitterlinden, Andr{\'e} G and Hwang, Shih-Jen and Vasan, Ramachandran S and Wang, Thomas J and Bergmann, Sven and Vollenweider, Peter and Waeber, G{\'e}rard and Laitinen, Jaana and Pouta, Anneli and Zitting, Paavo and McArdle, Wendy L and Kroemer, Heyo K and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Glazer, Nicole L and Taylor, Kent D and Harris, Tamara B and Alavere, Helene and Haller, Toomas and Keis, Aime and Tammesoo, Mari-Liis and Aulchenko, Yurii and Barroso, In{\^e}s and Khaw, Kay-Tee and Galan, Pilar and Hercberg, Serge and Lathrop, Mark and Eyheramendy, Susana and Org, Elin and S{\~o}ber, Siim and Lu, Xiaowen and Nolte, Ilja M and Penninx, Brenda W and Corre, Tanguy and Masciullo, Corrado and Sala, Cinzia and Groop, Leif and Voight, Benjamin F and Melander, Olle and O{\textquoteright}Donnell, Christopher J and Salomaa, Veikko and d{\textquoteright}Adamo, Adamo Pio and Fabretto, Antonella and Faletra, Flavio and Ulivi, Sheila and Del Greco, Fabiola M and Facheris, Maurizio and Collins, Francis S and Bergman, Richard N and Beilby, John P and Hung, Joseph and Musk, A William and Mangino, Massimo and Shin, So-Youn and Soranzo, Nicole and Watkins, Hugh and Goel, Anuj and Hamsten, Anders and Gider, Pierre and Loitfelder, Marisa and Zeginigg, Marion and Hernandez, Dena and Najjar, Samer S and Navarro, Pau and Wild, Sarah H and Corsi, Anna Maria and Singleton, Andrew and de Geus, Eco J C and Willemsen, Gonneke and Parker, Alex N and Rose, Lynda M and Buckley, Brendan and Stott, David and Orr{\`u}, Marco and Uda, Manuela and van der Klauw, Melanie M and Zhang, Weihua and Li, Xinzhong and Scott, James and Chen, Yii-Der Ida and Burke, Gregory L and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and D{\"o}ring, Angela and Meitinger, Thomas and Davies, Gail and Starr, John M and Emilsson, Valur and Plump, Andrew and Lindeman, Jan H and Hoen, Peter A C {\textquoteright}t and K{\"o}nig, Inke R and Felix, Janine F and Clarke, Robert and Hopewell, Jemma C and Ongen, Halit and Breteler, Monique and Debette, Stephanie and DeStefano, Anita L and Fornage, Myriam and Mitchell, Gary F and Smith, Nicholas L and Holm, Hilma and Stefansson, Kari and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Samani, Nilesh J and Preuss, Michael and Rudan, Igor and Hayward, Caroline and Deary, Ian J and Wichmann, H-Erich and Raitakari, Olli T and Palmas, Walter and Kooner, Jaspal S and Stolk, Ronald P and Jukema, J Wouter and Wright, Alan F and Boomsma, Dorret I and Bandinelli, Stefania and Gyllensten, Ulf B and Wilson, James F and Ferrucci, Luigi and Schmidt, Reinhold and Farrall, Martin and Spector, Tim D and Palmer, Lyle J and Tuomilehto, Jaakko and Pfeufer, Arne and Gasparini, Paolo and Siscovick, David and Altshuler, David and Loos, Ruth J F and Toniolo, Daniela and Snieder, Harold and Gieger, Christian and Meneton, Pierre and Wareham, Nicholas J and Oostra, Ben A and Metspalu, Andres and Launer, Lenore and Rettig, Rainer and Strachan, David P and Beckmann, Jacques S and Witteman, Jacqueline C M and Erdmann, Jeanette and van Dijk, Ko Willems and Boerwinkle, Eric and Boehnke, Michael and Ridker, Paul M and Jarvelin, Marjo-Riitta and Chakravarti, Aravinda and Abecasis, Goncalo R and Gudnason, Vilmundur and Newton-Cheh, Christopher and Levy, Daniel and Munroe, Patricia B and Psaty, Bruce M and Caulfield, Mark J and Rao, Dabeeru C and Tobin, Martin D and Elliott, Paul and van Duijn, Cornelia M} } @article {1289, title = {Hospitalization for infection and risk of acute ischemic stroke: the Cardiovascular Health Study.}, journal = {Stroke}, volume = {42}, year = {2011}, month = {2011 Jul}, pages = {1851-6}, abstract = {

BACKGROUND AND PURPOSE: Little is known about the acute precipitants of ischemic stroke, although evidence suggests infections contribute to risk. We hypothesized that acute hospitalization for infection is associated with the short-term risk of stroke.

METHODS: The case-crossover design was used to compare hospitalization for infection during case periods (90, 30, or 14 days before an incident ischemic stroke) and control periods (equivalent time periods exactly 1 or 2 years before stroke) in the Cardiovascular Health Study, a population-based cohort of 5888 elderly participants from 4 US sites. Odds ratios (ORs) and 95\% confidence intervals (95\% CIs) were calculated by conditional logistic regression. Confirmatory analyses assessed hazard ratios of stroke from Cox regression models, with hospitalization for infection as a time-varying exposure.

RESULTS: During a median follow-up of 12.2 years, 669 incident ischemic strokes were observed in participants without a baseline history of stroke. Hospitalization for infection was more likely during case than control time periods; for 90 days before stroke, OR=3.4 (95\% CI, 1.8 to 6.5). The point estimates of risks were higher when we examined shorter intervals: for 30 days, OR=7.3 (95\% CI, 1.9 to 40.9), and for 14 days, OR=8.0 (95\% CI, 1.7 to 77.3). In survival analyses, risk of stroke was associated with hospitalization for infection in the preceding 90 days, adjusted hazard ratio=2.4 (95\% CI, 1.6 to 3.4).

CONCLUSIONS: Hospitalization for infection is associated with a short-term increased risk of stroke, with higher risks observed for shorter intervals preceding stroke.

}, keywords = {Bacterial Infections, Brain Ischemia, Cardiology, Cohort Studies, Cross-Over Studies, Female, Follow-Up Studies, Hospitalization, Humans, Male, Odds Ratio, Proportional Hazards Models, Regression Analysis, Risk, Stroke, Time Factors}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.110.608588}, author = {Elkind, Mitchell S V and Carty, Cara L and O{\textquoteright}Meara, Ellen S and Lumley, Thomas and Lefkowitz, David and Kronmal, Richard A and Longstreth, W T} } @article {1304, title = {Identification of a sudden cardiac death susceptibility locus at 2q24.2 through genome-wide association in European ancestry individuals.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Jun}, pages = {e1002158}, abstract = {

Sudden cardiac death (SCD) continues to be one of the leading causes of mortality worldwide, with an annual incidence estimated at 250,000-300,000 in the United States and with the vast majority occurring in the setting of coronary disease. We performed a genome-wide association meta-analysis in 1,283 SCD cases and >20,000 control individuals of European ancestry from 5 studies, with follow-up genotyping in up to 3,119 SCD cases and 11,146 controls from 11 European ancestry studies, and identify the BAZ2B locus as associated with SCD (P = 1.8{\texttimes}10(-10)). The risk allele, while ancestral, has a frequency of ~1.4\%, suggesting strong negative selection and increases risk for SCD by 1.92-fold per allele (95\% CI 1.57-2.34). We also tested the role of 49 SNPs previously implicated in modulating electrocardiographic traits (QRS, QT, and RR intervals). Consistent with epidemiological studies showing increased risk of SCD with prolonged QRS/QT intervals, the interval-prolonging alleles are in aggregate associated with increased risk for SCD (P = 0.006).

}, keywords = {Adult, Aged, Alleles, Chromosomes, Human, Pair 2, Death, Sudden, Cardiac, European Continental Ancestry Group, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Myocardial Contraction, Polymorphism, Single Nucleotide}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002158}, author = {Arking, Dan E and Junttila, M Juhani and Goyette, Philippe and Huertas-Vazquez, Adriana and Eijgelsheim, Mark and Blom, Marieke T and Newton-Cheh, Christopher and Reinier, Kyndaron and Teodorescu, Carmen and Uy-Evanado, Audrey and Carter-Monroe, Naima and Kaikkonen, Kari S and Kortelainen, Marja-Leena and Boucher, Gabrielle and Lagac{\'e}, Caroline and Moes, Anna and Zhao, XiaoQing and Kolodgie, Frank and Rivadeneira, Fernando and Hofman, Albert and Witteman, Jacqueline C M and Uitterlinden, Andr{\'e} G and Marsman, Roos F and Pazoki, Raha and Bardai, Abdennasser and Koster, Rudolph W and Dehghan, Abbas and Hwang, Shih-Jen and Bhatnagar, Pallav and Post, Wendy and Hilton, Gina and Prineas, Ronald J and Li, Man and K{\"o}ttgen, Anna and Ehret, Georg and Boerwinkle, Eric and Coresh, Josef and Kao, W H Linda and Psaty, Bruce M and Tomaselli, Gordon F and Sotoodehnia, Nona and Siscovick, David S and Burke, Greg L and Marb{\'a}n, Eduardo and Spooner, Peter M and Cupples, L Adrienne and Jui, Jonathan and Gunson, Karen and Kesaniemi, Y Antero and Wilde, Arthur A M and Tardif, Jean-Claude and O{\textquoteright}Donnell, Christopher J and Bezzina, Connie R and Virmani, Renu and Stricker, Bruno H C H and Tan, Hanno L and Albert, Christine M and Chakravarti, Aravinda and Rioux, John D and Huikuri, Heikki V and Chugh, Sumeet S} } @article {1277, title = {Longitudinal association of depressive symptoms with rapid kidney function decline and adverse clinical renal disease outcomes.}, journal = {Clin J Am Soc Nephrol}, volume = {6}, year = {2011}, month = {2011 Apr}, pages = {834-44}, abstract = {

BACKGROUND AND OBJECTIVES: Depression is a risk indicator for adverse outcomes in dialysis patients, but its prognostic impact in individuals who are not yet on dialysis is unknown. This study examines whether depressive symptoms are longitudinally associated with renal function decline, new-onset chronic kidney disease (CKD), ESRD, or hospitalization with acute kidney injury (AKI).

DESIGN, SETTING, PARTICIPANTS, \& MEASUREMENTS: Depressive symptoms were measured in a longitudinal cohort study with the 10-item Centers for Epidemiologic Studies Depression scale using a previously validated cut-off value (>=8). CKD at study entry and during follow-up was defined as an estimated GFR (eGFR) < 60 ml/min per m(2). Outcomes were rapid decline in eGFR (>3 ml/min per m(2) per year), new-onset CKD, ESRD (U.S. Renal Data System-based), and AKI (based on adjudicated medical record review). The median follow-up duration was 10.5 years.

RESULTS: Depressed participants (21.2\%) showed a higher prevalence of CKD at baseline compared with nondepressed participants in multivariable analysis. Depression was associated with a subsequent risk of rapid decline in eGFR, incident ESRD, and AKI, but not incident CKD in unadjusted models. In multivariable analyses, only associations of depressive symptoms with AKI remained significant.

CONCLUSIONS: Elevated depressive symptoms are associated with subsequent adverse renal disease outcomes. The depression-related elevated risk of AKI was independent of traditional renal disease risk factors and may in part be explained by the predictive value of depression for acute coronary syndromes and heart failure hospitalizations that can be complicated by AKI.

}, keywords = {Acute Kidney Injury, Aged, Chronic Disease, Cohort Studies, Comorbidity, Depression, Female, Follow-Up Studies, Glomerular Filtration Rate, Humans, Kidney Diseases, Longitudinal Studies, Male}, issn = {1555-905X}, doi = {10.2215/CJN.03840510}, author = {Kop, Willem J and Seliger, Stephen L and Fink, Jeffrey C and Katz, Ronit and Odden, Michelle C and Fried, Linda F and Rifkin, Dena E and Sarnak, Mark J and Gottdiener, John S} } @article {1323, title = {Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 11}, pages = {940-7}, abstract = {

Carotid intima media thickness (cIMT) and plaque determined by ultrasonography are established measures of subclinical atherosclerosis that each predicts future cardiovascular disease events. We conducted a meta-analysis of genome-wide association data in 31,211 participants of European ancestry from nine large studies in the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. We then sought additional evidence to support our findings among 11,273 individuals using data from seven additional studies. In the combined meta-analysis, we identified three genomic regions associated with common carotid intima media thickness and two different regions associated with the presence of carotid plaque (P < 5 {\texttimes} 10(-8)). The associated SNPs mapped in or near genes related to cellular signaling, lipid metabolism and blood pressure homeostasis, and two of the regions were associated with coronary artery disease (P < 0.006) in the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) consortium. Our findings may provide new insight into pathways leading to subclinical atherosclerosis and subsequent cardiovascular events.

}, keywords = {Adult, Aged, Aging, Atherosclerosis, Carotid Intima-Media Thickness, Cohort Studies, Coronary Artery Disease, European Continental Ancestry Group, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Genotype, Heart, Humans, Middle Aged, Phenotype, Plaque, Atherosclerotic, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1546-1718}, doi = {10.1038/ng.920}, author = {Bis, Joshua C and Kavousi, Maryam and Franceschini, Nora and Isaacs, Aaron and Abecasis, Goncalo R and Schminke, Ulf and Post, Wendy S and Smith, Albert V and Cupples, L Adrienne and Markus, Hugh S and Schmidt, Reinhold and Huffman, Jennifer E and Lehtim{\"a}ki, Terho and Baumert, Jens and M{\"u}nzel, Thomas and Heckbert, Susan R and Dehghan, Abbas and North, Kari and Oostra, Ben and Bevan, Steve and Stoegerer, Eva-Maria and Hayward, Caroline and Raitakari, Olli and Meisinger, Christa and Schillert, Arne and Sanna, Serena and V{\"o}lzke, Henry and Cheng, Yu-Ching and Thorsson, Bolli and Fox, Caroline S and Rice, Kenneth and Rivadeneira, Fernando and Nambi, Vijay and Halperin, Eran and Petrovic, Katja E and Peltonen, Leena and Wichmann, H Erich and Schnabel, Renate B and D{\"o}rr, Marcus and Parsa, Afshin and Aspelund, Thor and Demissie, Serkalem and Kathiresan, Sekar and Reilly, Muredach P and Taylor, Kent and Uitterlinden, Andre and Couper, David J and Sitzer, Matthias and K{\"a}h{\"o}nen, Mika and Illig, Thomas and Wild, Philipp S and Orr{\`u}, Marco and L{\"u}demann, Jan and Shuldiner, Alan R and Eiriksdottir, Gudny and White, Charles C and Rotter, Jerome I and Hofman, Albert and Seissler, Jochen and Zeller, Tanja and Usala, Gianluca and Ernst, Florian and Launer, Lenore J and D{\textquoteright}Agostino, Ralph B and O{\textquoteright}Leary, Daniel H and Ballantyne, Christie and Thiery, Joachim and Ziegler, Andreas and Lakatta, Edward G and Chilukoti, Ravi Kumar and Harris, Tamara B and Wolf, Philip A and Psaty, Bruce M and Polak, Joseph F and Li, Xia and Rathmann, Wolfgang and Uda, Manuela and Boerwinkle, Eric and Klopp, Norman and Schmidt, Helena and Wilson, James F and Viikari, Jorma and Koenig, Wolfgang and Blankenberg, Stefan and Newman, Anne B and Witteman, Jacqueline and Heiss, Gerardo and Duijn, Cornelia van and Scuteri, Angelo and Homuth, Georg and Mitchell, Braxton D and Gudnason, Vilmundur and O{\textquoteright}Donnell, Christopher J} } @article {1332, title = {Neighborhood disadvantage and ischemic stroke: the Cardiovascular Health Study (CHS).}, journal = {Stroke}, volume = {42}, year = {2011}, month = {2011 Dec}, pages = {3363-8}, abstract = {

BACKGROUND AND PURPOSE: Neighborhood characteristics may influence the risk of stroke and contribute to socioeconomic disparities in stroke incidence. The objectives of this study were to examine the relationship between neighborhood socioeconomic status and incident ischemic stroke and examine potential mediators of these associations.

METHODS: We analyzed data from 3834 whites and 785 blacks enrolled in the Cardiovascular Health Study, a multicenter, population-based, longitudinal study of adults ages>=65 years from 4 US counties. The primary outcome was adjudicated incident ischemic stroke. Neighborhood socioeconomic status was measured using a composite of 6 census tract variables. Race-stratified multilevel Cox proportional hazard models were constructed adjusted for sociodemographic, behavioral, and biological risk factors.

RESULTS: Among whites, in models adjusted for sociodemographic characteristics, stroke hazard was significantly higher among residents of neighborhoods in the lowest compared with the highest neighborhood socioeconomic status quartile (hazard ratio, 1.32; 95\% CI, 1.01-1.72) with greater attenuation of the hazard ratio after adjustment for biological risk factors (hazard ratio, 1.16; 0.88-1.52) than for behavioral risk factors (hazard ratio, 1.30; 0.99-1.70). Among blacks, we found no significant associations between neighborhood socioeconomic status and ischemic stroke.

CONCLUSIONS: Higher risk of incident ischemic stroke was observed in the most disadvantaged neighborhoods among whites, but not among blacks. The relationship between neighborhood socioeconomic status and stroke among whites appears to be mediated more strongly by biological than behavioral risk factors.

}, keywords = {Aged, Aged, 80 and over, Brain Ischemia, Female, Health Status Disparities, Humans, Incidence, Longitudinal Studies, Male, Poverty, Residence Characteristics, Risk, Risk Factors, Social Class, Social Environment, Socioeconomic Factors, Stroke, Urban Population}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.111.622134}, author = {Brown, Arleen F and Liang, Li-Jung and Vassar, Stefanie D and Stein-Merkin, Sharon and Longstreth, W T and Ovbiagele, Bruce and Yan, Tingjian and Escarce, Jos{\'e} J} } @article {1355, title = {New gene functions in megakaryopoiesis and platelet formation.}, journal = {Nature}, volume = {480}, year = {2011}, month = {2011 Nov 30}, pages = {201-8}, abstract = {

Platelets are the second most abundant cell type in blood and are essential for maintaining haemostasis. Their count and volume are tightly controlled within narrow physiological ranges, but there is only limited understanding of the molecular processes controlling both traits. Here we carried out a high-powered meta-analysis of genome-wide association studies (GWAS) in up to 66,867 individuals of European ancestry, followed by extensive biological and functional assessment. We identified 68 genomic loci reliably associated with platelet count and volume mapping to established and putative novel regulators of megakaryopoiesis and platelet formation. These genes show megakaryocyte-specific gene expression patterns and extensive network connectivity. Using gene silencing in Danio rerio and Drosophila melanogaster, we identified 11 of the genes as novel regulators of blood cell formation. Taken together, our findings advance understanding of novel gene functions controlling fate-determining events during megakaryopoiesis and platelet formation, providing a new example of successful translation of GWAS to function.

}, keywords = {Animals, Blood Platelets, Cell Size, Drosophila melanogaster, Drosophila Proteins, Europe, Gene Expression Profiling, Gene Silencing, Genome, Human, Genome-Wide Association Study, Hematopoiesis, Humans, Megakaryocytes, Platelet Count, Protein Interaction Maps, Transcription, Genetic, Zebrafish, Zebrafish Proteins}, issn = {1476-4687}, doi = {10.1038/nature10659}, author = {Gieger, Christian and Radhakrishnan, Aparna and Cvejic, Ana and Tang, Weihong and Porcu, Eleonora and Pistis, Giorgio and Serbanovic-Canic, Jovana and Elling, Ulrich and Goodall, Alison H and Labrune, Yann and Lopez, Lorna M and M{\"a}gi, Reedik and Meacham, Stuart and Okada, Yukinori and Pirastu, Nicola and Sorice, Rossella and Teumer, Alexander and Voss, Katrin and Zhang, Weihua and Ramirez-Solis, Ramiro and Bis, Joshua C and Ellinghaus, David and G{\"o}gele, Martin and Hottenga, Jouke-Jan and Langenberg, Claudia and Kovacs, Peter and O{\textquoteright}Reilly, Paul F and Shin, So-Youn and Esko, T{\~o}nu and Hartiala, Jaana and Kanoni, Stavroula and Murgia, Federico and Parsa, Afshin and Stephens, Jonathan and van der Harst, Pim and Ellen van der Schoot, C and Allayee, Hooman and Attwood, Antony and Balkau, Beverley and Bastardot, Fran{\c c}ois and Basu, Saonli and Baumeister, Sebastian E and Biino, Ginevra and Bomba, Lorenzo and Bonnefond, Am{\'e}lie and Cambien, Francois and Chambers, John C and Cucca, Francesco and D{\textquoteright}Adamo, Pio and Davies, Gail and de Boer, Rudolf A and de Geus, Eco J C and D{\"o}ring, Angela and Elliott, Paul and Erdmann, Jeanette and Evans, David M and Falchi, Mario and Feng, Wei and Folsom, Aaron R and Frazer, Ian H and Gibson, Quince D and Glazer, Nicole L and Hammond, Chris and Hartikainen, Anna-Liisa and Heckbert, Susan R and Hengstenberg, Christian and Hersch, Micha and Illig, Thomas and Loos, Ruth J F and Jolley, Jennifer and Khaw, Kay Tee and Kuhnel, Brigitte and Kyrtsonis, Marie-Christine and Lagou, Vasiliki and Lloyd-Jones, Heather and Lumley, Thomas and Mangino, Massimo and Maschio, Andrea and Mateo Leach, Irene and McKnight, Barbara and Memari, Yasin and Mitchell, Braxton D and Montgomery, Grant W and Nakamura, Yusuke and Nauck, Matthias and Navis, Gerjan and N{\"o}thlings, Ute and Nolte, Ilja M and Porteous, David J and Pouta, Anneli and Pramstaller, Peter P and Pullat, Janne and Ring, Susan M and Rotter, Jerome I and Ruggiero, Daniela and Ruokonen, Aimo and Sala, Cinzia and Samani, Nilesh J and Sambrook, Jennifer and Schlessinger, David and Schreiber, Stefan and Schunkert, Heribert and Scott, James and Smith, Nicholas L and Snieder, Harold and Starr, John M and Stumvoll, Michael and Takahashi, Atsushi and Tang, W H Wilson and Taylor, Kent and Tenesa, Albert and Lay Thein, Swee and T{\"o}njes, Anke and Uda, Manuela and Ulivi, Sheila and van Veldhuisen, Dirk J and Visscher, Peter M and V{\"o}lker, Uwe and Wichmann, H-Erich and Wiggins, Kerri L and Willemsen, Gonneke and Yang, Tsun-Po and Hua Zhao, Jing and Zitting, Paavo and Bradley, John R and Dedoussis, George V and Gasparini, Paolo and Hazen, Stanley L and Metspalu, Andres and Pirastu, Mario and Shuldiner, Alan R and Joost van Pelt, L and Zwaginga, Jaap-Jan and Boomsma, Dorret I and Deary, Ian J and Franke, Andre and Froguel, Philippe and Ganesh, Santhi K and Jarvelin, Marjo-Riitta and Martin, Nicholas G and Meisinger, Christa and Psaty, Bruce M and Spector, Timothy D and Wareham, Nicholas J and Akkerman, Jan-Willem N and Ciullo, Marina and Deloukas, Panos and Greinacher, Andreas and Jupe, Steve and Kamatani, Naoyuki and Khadake, Jyoti and Kooner, Jaspal S and Penninger, Josef and Prokopenko, Inga and Stemple, Derek and Toniolo, Daniela and Wernisch, Lorenz and Sanna, Serena and Hicks, Andrew A and Rendon, Augusto and Ferreira, Manuel A and Ouwehand, Willem H and Soranzo, Nicole} } @article {1264, title = {Patterns and predictors of recovery from exhaustion in older adults: the cardiovascular health study.}, journal = {J Am Geriatr Soc}, volume = {59}, year = {2011}, month = {2011 Feb}, pages = {207-13}, abstract = {

OBJECTIVES: To estimate the likelihood of, and factors associated with, recovery from exhaustion in older adults.

DESIGN: Secondary analysis of a cohort study.

SETTING: Six annual examinations in four U.S. communities.

PARTICIPANTS: Four thousand five hundred eighty-four men and women aged 69 and older.

MEASUREMENTS: Exhaustion was considered present when a participant responded "a moderate amount" or "most of the time" to either of two questions: "How often have you had a hard time getting going?" and "How often does everything seem an effort?"

RESULTS: Of the 964 participants who originally reported exhaustion, 634 (65.8\%) were exhaustion free at least once during follow-up. When data from all time points were considered, 48\% of those who reported exhaustion were exhaustion free the following year. After adjustment for age, sex, race, education, and marital status, 1-year recovery was less likely in individuals with worse self-rated health and in those who were taking six or more medications or were obese, depressed, or had musculoskeletal pain or history of stroke. In proportional hazards models, the following risk factors were associated with more persistent exhaustion over 5 years: poor self-rated health, six or more medications, obesity, and depression. Recovery was not less likely in participants with a history of cancer or heart disease.

CONCLUSION: Exhaustion is common in old age but is dynamic, even in those with a history of cancer and congestive heart failure. Recovery is especially likely in seniors who have a positive perception of their overall health, take few medications, and are not obese or depressed. These findings support the notion that resiliency is associated with physical and psychological well-being.

}, keywords = {Aged, Aging, Cardiovascular Physiological Phenomena, Exercise Test, Exercise Tolerance, Female, Follow-Up Studies, Geriatric Assessment, Health Status, Humans, Male, Predictive Value of Tests, Recovery of Function, Retrospective Studies, United States}, issn = {1532-5415}, doi = {10.1111/j.1532-5415.2010.03238.x}, author = {Whitson, Heather E and Thielke, Stephen and Diehr, Paula and O{\textquoteright}Hare, Ann M and Chaves, Paulo H M and Zakai, Neil A and Arnold, Alice and Chaudhry, Sarwat and Ives, Diane and Newman, Anne B} } @article {1308, title = {Total zinc intake may modify the glucose-raising effect of a zinc transporter (SLC30A8) variant: a 14-cohort meta-analysis.}, journal = {Diabetes}, volume = {60}, year = {2011}, month = {2011 Sep}, pages = {2407-16}, abstract = {

OBJECTIVE: Many genetic variants have been associated with glucose homeostasis and type 2 diabetes in genome-wide association studies. Zinc is an essential micronutrient that is important for β-cell function and glucose homeostasis. We tested the hypothesis that zinc intake could influence the glucose-raising effect of specific variants.

RESEARCH DESIGN AND METHODS: We conducted a 14-cohort meta-analysis to assess the interaction of 20 genetic variants known to be related to glycemic traits and zinc metabolism with dietary zinc intake (food sources) and a 5-cohort meta-analysis to assess the interaction with total zinc intake (food sources and supplements) on fasting glucose levels among individuals of European ancestry without diabetes.

RESULTS: We observed a significant association of total zinc intake with lower fasting glucose levels (β-coefficient {\textpm} SE per 1 mg/day of zinc intake: -0.0012 {\textpm} 0.0003 mmol/L, summary P value = 0.0003), while the association of dietary zinc intake was not significant. We identified a nominally significant interaction between total zinc intake and the SLC30A8 rs11558471 variant on fasting glucose levels (β-coefficient {\textpm} SE per A allele for 1 mg/day of greater total zinc intake: -0.0017 {\textpm} 0.0006 mmol/L, summary interaction P value = 0.005); this result suggests a stronger inverse association between total zinc intake and fasting glucose in individuals carrying the glucose-raising A allele compared with individuals who do not carry it. None of the other interaction tests were statistically significant.

CONCLUSIONS: Our results suggest that higher total zinc intake may attenuate the glucose-raising effect of the rs11558471 SLC30A8 (zinc transporter) variant. Our findings also support evidence for the association of higher total zinc intake with lower fasting glucose levels.

}, keywords = {Blood Glucose, Cation Transport Proteins, Cohort Studies, Humans, Polymorphism, Single Nucleotide, Zinc, Zinc Transporter 8}, issn = {1939-327X}, doi = {10.2337/db11-0176}, author = {Kanoni, Stavroula and Nettleton, Jennifer A and Hivert, Marie-France and Ye, Zheng and van Rooij, Frank J A and Shungin, Dmitry and Sonestedt, Emily and Ngwa, Julius S and Wojczynski, Mary K and Lemaitre, Rozenn N and Gustafsson, Stefan and Anderson, Jennifer S and Tanaka, Toshiko and Hindy, George and Saylor, Georgia and Renstrom, Frida and Bennett, Amanda J and van Duijn, Cornelia M and Florez, Jose C and Fox, Caroline S and Hofman, Albert and Hoogeveen, Ron C and Houston, Denise K and Hu, Frank B and Jacques, Paul F and Johansson, Ingegerd and Lind, Lars and Liu, Yongmei and McKeown, Nicola and Ordovas, Jose and Pankow, James S and Sijbrands, Eric J G and Syv{\"a}nen, Ann-Christine and Uitterlinden, Andr{\'e} G and Yannakoulia, Mary and Zillikens, M Carola and Wareham, Nick J and Prokopenko, Inga and Bandinelli, Stefania and Forouhi, Nita G and Cupples, L Adrienne and Loos, Ruth J and Hallmans, G{\"o}ran and Dupuis, Jos{\'e}e and Langenberg, Claudia and Ferrucci, Luigi and Kritchevsky, Stephen B and McCarthy, Mark I and Ingelsson, Erik and Borecki, Ingrid B and Witteman, Jacqueline C M and Orho-Melander, Marju and Siscovick, David S and Meigs, James B and Franks, Paul W and Dedoussis, George V} } @article {1556, title = {Assessment of gene-by-sex interaction effect on bone mineral density.}, journal = {J Bone Miner Res}, volume = {27}, year = {2012}, month = {2012 Oct}, pages = {2051-64}, abstract = {

Sexual dimorphism in various bone phenotypes, including bone mineral density (BMD), is widely observed; however, the extent to which genes explain these sex differences is unclear. To identify variants with different effects by sex, we examined gene-by-sex autosomal interactions genome-wide, and performed expression quantitative trait loci (eQTL) analysis and bioinformatics network analysis. We conducted an autosomal genome-wide meta-analysis of gene-by-sex interaction on lumbar spine (LS) and femoral neck (FN) BMD in 25,353 individuals from 8 cohorts. In a second stage, we followed up the 12 top single-nucleotide polymorphisms (SNPs; p < 1 {\texttimes} 10(-5) ) in an additional set of 24,763 individuals. Gene-by-sex interaction and sex-specific effects were examined in these 12 SNPs. We detected one novel genome-wide significant interaction associated with LS-BMD at the Chr3p26.1-p25.1 locus, near the GRM7 gene (male effect = 0.02 and p = 3.0 {\texttimes} 10(-5) ; female effect = -0.007 and p = 3.3 {\texttimes} 10(-2) ), and 11 suggestive loci associated with either FN- or LS-BMD in discovery cohorts. However, there was no evidence for genome-wide significant (p < 5 {\texttimes} 10(-8) ) gene-by-sex interaction in the joint analysis of discovery and replication cohorts. Despite the large collaborative effort, no genome-wide significant evidence for gene-by-sex interaction was found to influence BMD variation in this screen of autosomal markers. If they exist, gene-by-sex interactions for BMD probably have weak effects, accounting for less than 0.08\% of the variation in these traits per implicated SNP. {\textcopyright} 2012 American Society for Bone and Mineral Research.

}, keywords = {Bone Density, Cohort Studies, Female, Genes, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Reproducibility of Results, Sex Characteristics}, issn = {1523-4681}, doi = {10.1002/jbmr.1679}, author = {Liu, Ching-Ti and Estrada, Karol and Yerges-Armstrong, Laura M and Amin, Najaf and Evangelou, Evangelos and Li, Guo and Minster, Ryan L and Carless, Melanie A and Kammerer, Candace M and Oei, Ling and Zhou, Yanhua and Alonso, Nerea and Dailiana, Zoe and Eriksson, Joel and Garc{\'\i}a-Giralt, Natalia and Giroux, Sylvie and Husted, Lise Bjerre and Khusainova, Rita I and Koromila, Theodora and Kung, Annie Waichee and Lewis, Joshua R and Masi, Laura and Mencej-Bedrac, Simona and Nogues, Xavier and Patel, Millan S and Prezelj, Janez and Richards, J Brent and Sham, Pak Chung and Spector, Timothy and Vandenput, Liesbeth and Xiao, Su-Mei and Zheng, Hou-Feng and Zhu, Kun and Balcells, Susana and Brandi, Maria Luisa and Frost, Morten and Goltzman, David and Gonz{\'a}lez-Mac{\'\i}as, Jes{\'u}s and Karlsson, Magnus and Khusnutdinova, Elza K and Kollia, Panagoula and Langdahl, Bente Lomholt and Ljunggren, Osten and Lorentzon, Mattias and Marc, Janja and Mellstr{\"o}m, Dan and Ohlsson, Claes and Olmos, Jos{\'e} M and Ralston, Stuart H and Riancho, Jos{\'e} A and Rousseau, Fran{\c c}ois and Urreizti, Roser and Van Hul, Wim and Zarrabeitia, Mar{\'\i}a T and Castano-Betancourt, Martha and Demissie, Serkalem and Grundberg, Elin and Herrera, Lizbeth and Kwan, Tony and Medina-G{\'o}mez, Carolina and Pastinen, Tomi and Sigurdsson, Gunnar and Thorleifsson, Gudmar and Vanmeurs, Joyce Bj and Blangero, John and Hofman, Albert and Liu, Yongmei and Mitchell, Braxton D and O{\textquoteright}Connell, Jeffrey R and Oostra, Ben A and Rotter, Jerome I and Stefansson, Kari and Streeten, Elizabeth A and Styrkarsdottir, Unnur and Thorsteinsdottir, Unnur and Tylavsky, Frances A and Uitterlinden, Andre and Cauley, Jane A and Harris, Tamara B and Ioannidis, John Pa and Psaty, Bruce M and Robbins, John A and Zillikens, M Carola and Vanduijn, Cornelia M and Prince, Richard L and Karasik, David and Rivadeneira, Fernando and Kiel, Douglas P and Cupples, L Adrienne and Hsu, Yi-Hsiang} } @article {1359, title = {Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies.}, journal = {Circ Cardiovasc Genet}, volume = {5}, year = {2012}, month = {2012 Feb 01}, pages = {100-12}, abstract = {

BACKGROUND: Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts.

METHODS AND RESULTS: Continuous ABI and PAD (ABI <=0.9) phenotypes adjusted for age and sex were examined. Each study conducted genotyping and imputed data to the ≈2.5 million single nucleotide polymorphisms (SNPs) in HapMap. Linear and logistic regression models were used to test each SNP for association with ABI and PAD using additive genetic models. Study-specific data were combined using fixed effects inverse variance weighted meta-analyses. There were a total of 41 692 participants of European ancestry (≈60\% women, mean ABI 1.02 to 1.19), including 3409 participants with PAD and with genome-wide association study data available. In the discovery meta-analysis, rs10757269 on chromosome 9 near CDKN2B had the strongest association with ABI (β=-0.006, P=2.46{\texttimes}10(-8)). We sought replication of the 6 strongest SNP associations in 5 population-based studies and 3 clinical samples (n=16 717). The association for rs10757269 strengthened in the combined discovery and replication analysis (P=2.65{\texttimes}10(-9)). No other SNP associations for ABI or PAD achieved genome-wide significance. However, 2 previously reported candidate genes for PAD and 1 SNP associated with coronary artery disease were associated with ABI: DAB21P (rs13290547, P=3.6{\texttimes}10(-5)), CYBA (rs3794624, P=6.3{\texttimes}10(-5)), and rs1122608 (LDLR, P=0.0026).

CONCLUSIONS: Genome-wide association studies in more than 40 000 individuals identified 1 genome wide significant association on chromosome 9p21 with ABI. Two candidate genes for PAD and 1 SNP for coronary artery disease are associated with ABI.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Alleles, Ankle Brachial Index, Chromosomes, Human, Pair 9, Cohort Studies, Cyclin-Dependent Kinase Inhibitor p15, Female, Genome-Wide Association Study, Genotype, HapMap Project, Humans, Logistic Models, Male, Middle Aged, Peripheral Vascular Diseases, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Sex Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.961292}, author = {Murabito, Joanne M and White, Charles C and Kavousi, Maryam and Sun, Yan V and Feitosa, Mary F and Nambi, Vijay and Lamina, Claudia and Schillert, Arne and Coassin, Stefan and Bis, Joshua C and Broer, Linda and Crawford, Dana C and Franceschini, Nora and Frikke-Schmidt, Ruth and Haun, Margot and Holewijn, Suzanne and Huffman, Jennifer E and Hwang, Shih-Jen and Kiechl, Stefan and Kollerits, Barbara and Montasser, May E and Nolte, Ilja M and Rudock, Megan E and Senft, Andrea and Teumer, Alexander and van der Harst, Pim and Vitart, Veronique and Waite, Lindsay L and Wood, Andrew R and Wassel, Christina L and Absher, Devin M and Allison, Matthew A and Amin, Najaf and Arnold, Alice and Asselbergs, Folkert W and Aulchenko, Yurii and Bandinelli, Stefania and Barbalic, Maja and Boban, Mladen and Brown-Gentry, Kristin and Couper, David J and Criqui, Michael H and Dehghan, Abbas and den Heijer, Martin and Dieplinger, Benjamin and Ding, Jingzhong and D{\"o}rr, Marcus and Espinola-Klein, Christine and Felix, Stephan B and Ferrucci, Luigi and Folsom, Aaron R and Fraedrich, Gustav and Gibson, Quince and Goodloe, Robert and Gunjaca, Grgo and Haltmayer, Meinhard and Heiss, Gerardo and Hofman, Albert and Kieback, Arne and Kiemeney, Lambertus A and Kolcic, Ivana and Kullo, Iftikhar J and Kritchevsky, Stephen B and Lackner, Karl J and Li, Xiaohui and Lieb, Wolfgang and Lohman, Kurt and Meisinger, Christa and Melzer, David and Mohler, Emile R and Mudnic, Ivana and Mueller, Thomas and Navis, Gerjan and Oberhollenzer, Friedrich and Olin, Jeffrey W and O{\textquoteright}Connell, Jeff and O{\textquoteright}Donnell, Christopher J and Palmas, Walter and Penninx, Brenda W and Petersmann, Astrid and Polasek, Ozren and Psaty, Bruce M and Rantner, Barbara and Rice, Ken and Rivadeneira, Fernando and Rotter, Jerome I and Seldenrijk, Adrie and Stadler, Marietta and Summerer, Monika and Tanaka, Toshiko and Tybjaerg-Hansen, Anne and Uitterlinden, Andr{\'e} G and van Gilst, Wiek H and Vermeulen, Sita H and Wild, Sarah H and Wild, Philipp S and Willeit, Johann and Zeller, Tanja and Zemunik, Tatijana and Zgaga, Lina and Assimes, Themistocles L and Blankenberg, Stefan and Boerwinkle, Eric and Campbell, Harry and Cooke, John P and de Graaf, Jacqueline and Herrington, David and Kardia, Sharon L R and Mitchell, Braxton D and Murray, Anna and M{\"u}nzel, Thomas and Newman, Anne B and Oostra, Ben A and Rudan, Igor and Shuldiner, Alan R and Snieder, Harold and van Duijn, Cornelia M and V{\"o}lker, Uwe and Wright, Alan F and Wichmann, H-Erich and Wilson, James F and Witteman, Jacqueline C M and Liu, Yongmei and Hayward, Caroline and Borecki, Ingrid B and Ziegler, Andreas and North, Kari E and Cupples, L Adrienne and Kronenberg, Florian} } @article {1376, title = {The association between waist circumference and risk of mortality considering body mass index in 65- to 74-year-olds: a meta-analysis of 29 cohorts involving more than 58 000 elderly persons.}, journal = {Int J Epidemiol}, volume = {41}, year = {2012}, month = {2012 Jun}, pages = {805-17}, abstract = {

BACKGROUND: For the elderly, the association between waist circumference (WC) and mortality considering body mass index (BMI) remains unclear, and thereby also the evidence base for using these anthropometric measures in clinical practice. This meta-analysis examined the association between WC categories and (cause-specific) mortality within BMI categories. Furthermore, the association of continuous WC with lowest and increased mortality risks was examined.

METHODS: Age- and smoking-adjusted relative risks (RRs) of mortality associated with WC-BMI categories and continuous WC (including WC and WC(2)) were calculated by the investigators and pooled by means of random-effects models.

RESULTS: During a 5-year-follow-up of 32 678 men and 25 931 women, we ascertained 3318 and 1480 deaths, respectively. A large WC (men: >=102 cm, women: >=88 cm) was associated with increased all-cause mortality RRs for those in the {\textquoteright}healthy{\textquoteright} weight {1.7 [95\% confidence interval (CI): 1.2-2.2], 1.7 (95\% CI: 1.3-2.3)}, overweight [1.1(95\% CI: 1.0-1.3), 1.4 (95\%: 1.1-1.7)] and obese [1.1 (95\% CI: 1.0-1.3), 1.6 (95\% CI: 1.3-1.9)] BMI category compared with the {\textquoteright}healthy{\textquoteright} weight (20-24.9 kg/m(2)) and a small WC (<94 cm, men; <80 cm, women) category. Underweight was associated with highest all-cause mortality RRs in men [2.2 (95\% CI: 1.8-2.8)] and women [2.3 (95\% CI: 1.8-3.1]. We found a J-shaped association for continuous WC with all-cause, cardiovascular (CVD) and cancer, and a U-shaped association with respiratory disease mortality (P < 0.05). An all-cause (CVD) mortality RR of 2.0 was associated with a WC of 132 cm (123 cm) in men and 116 cm (105 cm) in women.

CONCLUSIONS: Our results showed increased mortality risks for elderly people with an increased WC-even across BMI categories- and for those who were classified as {\textquoteright}underweight{\textquoteright} using BMI. The results provide a solid basis for re-evaluation of WC cut-points in ageing populations.

}, keywords = {Aged, Body Mass Index, Body Weight, Cardiovascular Diseases, Female, Humans, Male, Mortality, Neoplasms, Overweight, Respiratory Tract Diseases, Risk Assessment, Waist Circumference}, issn = {1464-3685}, doi = {10.1093/ije/dys008}, author = {de Hollander, Ellen L and Bemelmans, Wanda Je and Boshuizen, Hendriek C and Friedrich, Nele and Wallaschofski, Henri and Guallar-Castill{\'o}n, Pilar and Walter, Stefan and Zillikens, M Carola and Rosengren, Annika and Lissner, Lauren and Bassett, Julie K and Giles, Graham G and Orsini, Nicola and Heim, Noor and Visser, Marjolein and de Groot, Lisette Cpgm} } @article {1398, title = {Comparing years of healthy life, measured in 16 ways, for normal weight and overweight older adults.}, journal = {J Obes}, volume = {2012}, year = {2012}, month = {2012}, pages = {894894}, abstract = {

Introduction. The traditional definitions of overweight and obesity are not age specific, even though the relationship of weight to mortality is different for older adults. Effects of adiposity on aspects of health beside mortality have not been well investigated. Methods. We calculated the number of years of healthy life (YHL) in the 10 years after baseline, for 5,747 older adults. YHL was defined in 16 different ways. We compared Normal and Overweight persons, classified either by body mass index (BMI) or by waist circumference (WC). Findings. YHL for Normal and Overweight persons differed significantly in 25\% of the comparisons, of which half favored the Overweight. Measures of physical health favored Normal weight, while measures of mental health and quality of life favored Overweight. Overweight was less favorable when defined by WC than by BMI. Obese persons usually had worse outcomes. Discussion. Overweight older adults averaged as many years of life and years of healthy life as those of Normal weight. There may be no outcome based reason to distinguish Normal from Overweight for older adults. Conclusion. The "Overweight paradox" appears to hold for nonmortality outcomes. New adiposity standards are needed for older adults, possibly different by race and sex.

}, issn = {2090-0716}, doi = {10.1155/2012/894894}, author = {Diehr, Paula and Thielke, Stephen and O{\textquoteright}Meara, Ellen and Fitzpatrick, Annette L and Newman, Anne} } @article {1387, title = {Evolution and functional impact of rare coding variation from deep sequencing of human exomes.}, journal = {Science}, volume = {337}, year = {2012}, month = {2012 Jul 06}, pages = {64-9}, abstract = {

As a first step toward understanding how rare variants contribute to risk for complex diseases, we sequenced 15,585 human protein-coding genes to an average median depth of 111{\texttimes} in 2440 individuals of European (n = 1351) and African (n = 1088) ancestry. We identified over 500,000 single-nucleotide variants (SNVs), the majority of which were rare (86\% with a minor allele frequency less than 0.5\%), previously unknown (82\%), and population-specific (82\%). On average, 2.3\% of the 13,595 SNVs each person carried were predicted to affect protein function of ~313 genes per genome, and ~95.7\% of SNVs predicted to be functionally important were rare. This excess of rare functional variants is due to the combined effects of explosive, recent accelerated population growth and weak purifying selection. Furthermore, we show that large sample sizes will be required to associate rare variants with complex traits.

}, keywords = {African Americans, Disease, European Continental Ancestry Group, Evolution, Molecular, Exome, Female, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, High-Throughput Nucleotide Sequencing, Humans, Male, Polymorphism, Single Nucleotide, Population Growth, Selection, Genetic}, issn = {1095-9203}, doi = {10.1126/science.1219240}, author = {Tennessen, Jacob A and Bigham, Abigail W and O{\textquoteright}Connor, Timothy D and Fu, Wenqing and Kenny, Eimear E and Gravel, Simon and McGee, Sean and Do, Ron and Liu, Xiaoming and Jun, Goo and Kang, Hyun Min and Jordan, Daniel and Leal, Suzanne M and Gabriel, Stacey and Rieder, Mark J and Abecasis, Goncalo and Altshuler, David and Nickerson, Deborah A and Boerwinkle, Eric and Sunyaev, Shamil and Bustamante, Carlos D and Bamshad, Michael J and Akey, Joshua M} } @article {6175, title = {FTO genotype is associated with phenotypic variability of body mass index.}, journal = {Nature}, volume = {490}, year = {2012}, month = {2012 Oct 11}, pages = {267-72}, abstract = {

There is evidence across several species for genetic control of phenotypic variation of complex traits, such that the variance among phenotypes is genotype dependent. Understanding genetic control of variability is important in evolutionary biology, agricultural selection programmes and human medicine, yet for complex traits, no individual genetic variants associated with variance, as opposed to the mean, have been identified. Here we perform a meta-analysis of genome-wide association studies of phenotypic variation using \~{}170,000 samples on height and body mass index (BMI) in human populations. We report evidence that the single nucleotide polymorphism (SNP) rs7202116 at the FTO gene locus, which is known to be associated with obesity (as measured by mean BMI for each rs7202116 genotype), is also associated with phenotypic variability. We show that the results are not due to scale effects or other artefacts, and find no other experiment-wise significant evidence for effects on variability, either at loci other than FTO for BMI or at any locus for height. The difference in variance for BMI among individuals with opposite homozygous genotypes at the FTO locus is approximately 7\%, corresponding to a difference of \~{}0.5 kilograms in the standard deviation of weight. Our results indicate that genetic variants can be discovered that are associated with variability, and that between-person variability in obesity can partly be explained by the genotype at the FTO locus. The results are consistent with reported FTO by environment interactions for BMI, possibly mediated by DNA methylation. Our BMI results for other SNPs and our height results for all SNPs suggest that most genetic variants, including those that influence mean height or mean BMI, are not associated with phenotypic variance, or that their effects on variability are too small to detect even with samples sizes greater than 100,000.

}, keywords = {Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Body Height, Body Mass Index, Co-Repressor Proteins, Female, Genetic Variation, Genome-Wide Association Study, Humans, Male, Nerve Tissue Proteins, Phenotype, Polymorphism, Single Nucleotide, Proteins, Repressor Proteins}, issn = {1476-4687}, doi = {10.1038/nature11401}, author = {Yang, Jian and Loos, Ruth J F and Powell, Joseph E and Medland, Sarah E and Speliotes, Elizabeth K and Chasman, Daniel I and Rose, Lynda M and Thorleifsson, Gudmar and Steinthorsdottir, Valgerdur and M{\"a}gi, Reedik and Waite, Lindsay and Smith, Albert Vernon and Yerges-Armstrong, Laura M and Monda, Keri L and Hadley, David and Mahajan, Anubha and Li, Guo and Kapur, Karen and Vitart, Veronique and Huffman, Jennifer E and Wang, Sophie R and Palmer, Cameron and Esko, T{\~o}nu and Fischer, Krista and Zhao, Jing Hua and Demirkan, Ayse and Isaacs, Aaron and Feitosa, Mary F and Luan, Jian{\textquoteright}an and Heard-Costa, Nancy L and White, Charles and Jackson, Anne U and Preuss, Michael and Ziegler, Andreas and Eriksson, Joel and Kutalik, Zolt{\'a}n and Frau, Francesca and Nolte, Ilja M and van Vliet-Ostaptchouk, Jana V and Hottenga, Jouke-Jan and Jacobs, Kevin B and Verweij, Niek and Goel, Anuj and Medina-G{\'o}mez, Carolina and Estrada, Karol and Bragg-Gresham, Jennifer Lynn and Sanna, Serena and Sidore, Carlo and Tyrer, Jonathan and Teumer, Alexander and Prokopenko, Inga and Mangino, Massimo and Lindgren, Cecilia M and Assimes, Themistocles L and Shuldiner, Alan R and Hui, Jennie and Beilby, John P and McArdle, Wendy L and Hall, Per and Haritunians, Talin and Zgaga, Lina and Kolcic, Ivana and Polasek, Ozren and Zemunik, Tatijana and Oostra, Ben A and Junttila, M Juhani and Gr{\"o}nberg, Henrik and Schreiber, Stefan and Peters, Annette and Hicks, Andrew A and Stephens, Jonathan and Foad, Nicola S and Laitinen, Jaana and Pouta, Anneli and Kaakinen, Marika and Willemsen, Gonneke and Vink, Jacqueline M and Wild, Sarah H and Navis, Gerjan and Asselbergs, Folkert W and Homuth, Georg and John, Ulrich and Iribarren, Carlos and Harris, Tamara and Launer, Lenore and Gudnason, Vilmundur and O{\textquoteright}Connell, Jeffrey R and Boerwinkle, Eric and Cadby, Gemma and Palmer, Lyle J and James, Alan L and Musk, Arthur W and Ingelsson, Erik and Psaty, Bruce M and Beckmann, Jacques S and Waeber, G{\'e}rard and Vollenweider, Peter and Hayward, Caroline and Wright, Alan F and Rudan, Igor and Groop, Leif C and Metspalu, Andres and Khaw, Kay Tee and van Duijn, Cornelia M and Borecki, Ingrid B and Province, Michael A and Wareham, Nicholas J and Tardif, Jean-Claude and Huikuri, Heikki V and Cupples, L Adrienne and Atwood, Larry D and Fox, Caroline S and Boehnke, Michael and Collins, Francis S and Mohlke, Karen L and Erdmann, Jeanette and Schunkert, Heribert and Hengstenberg, Christian and Stark, Klaus and Lorentzon, Mattias and Ohlsson, Claes and Cusi, Daniele and Staessen, Jan A and van der Klauw, Melanie M and Pramstaller, Peter P and Kathiresan, Sekar and Jolley, Jennifer D and Ripatti, Samuli and Jarvelin, Marjo-Riitta and de Geus, Eco J C and Boomsma, Dorret I and Penninx, Brenda and Wilson, James F and Campbell, Harry and Chanock, Stephen J and van der Harst, Pim and Hamsten, Anders and Watkins, Hugh and Hofman, Albert and Witteman, Jacqueline C and Zillikens, M Carola and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Zillikens, M Carola and Kiemeney, Lambertus A and Vermeulen, Sita H and Abecasis, Goncalo R and Schlessinger, David and Schipf, Sabine and Stumvoll, Michael and T{\"o}njes, Anke and Spector, Tim D and North, Kari E and Lettre, Guillaume and McCarthy, Mark I and Berndt, Sonja I and Heath, Andrew C and Madden, Pamela A F and Nyholt, Dale R and Montgomery, Grant W and Martin, Nicholas G and McKnight, Barbara and Strachan, David P and Hill, William G and Snieder, Harold and Ridker, Paul M and Thorsteinsdottir, Unnur and Stefansson, Kari and Frayling, Timothy M and Hirschhorn, Joel N and Goddard, Michael E and Visscher, Peter M} } @article {5864, title = {Genetic determinants of the ankle-brachial index: a meta-analysis of a cardiovascular candidate gene 50K SNP panel in the candidate gene association resource (CARe) consortium.}, journal = {Atherosclerosis}, volume = {222}, year = {2012}, month = {2012 May}, pages = {138-47}, abstract = {

BACKGROUND: Candidate gene association studies for peripheral artery disease (PAD), including subclinical disease assessed with the ankle-brachial index (ABI), have been limited by the modest number of genes examined. We conducted a two stage meta-analysis of \~{}50,000 SNPs across \~{}2100 candidate genes to identify genetic variants for ABI.

METHODS AND RESULTS: We studied subjects of European ancestry from 8 studies (n=21,547, 55\% women, mean age 44-73 years) and African American ancestry from 5 studies (n=7267, 60\% women, mean age 41-73 years) involved in the candidate gene association resource (CARe) consortium. In each ethnic group, additive genetic models were used (with each additional copy of the minor allele corresponding to the given beta) to test each SNP for association with continuous ABI (excluding ABI>1.40) and PAD (defined as ABI<0.90) using linear or logistic regression with adjustment for known PAD risk factors and population stratification. We then conducted a fixed-effects inverse-variance weighted meta-analyses considering a p<2{\texttimes}10(-6) to denote statistical significance.

RESULTS: In the European ancestry discovery meta-analyses, rs2171209 in SYTL3 (β=-0.007, p=6.02{\texttimes}10(-7)) and rs290481 in TCF7L2 (β=-0.008, p=7.01{\texttimes}10(-7)) were significantly associated with ABI. None of the SNP associations for PAD were significant, though a SNP in CYP2B6 (p=4.99{\texttimes}10(-5)) was among the strongest associations. These 3 genes are linked to key PAD risk factors (lipoprotein(a), type 2 diabetes, and smoking behavior, respectively). We sought replication in 6 population-based and 3 clinical samples (n=15,440) for rs290481 and rs2171209. However, in the replication stage (rs2171209, p=0.75; rs290481, p=0.19) and in the combined discovery and replication analysis the SNP-ABI associations were no longer significant (rs2171209, p=1.14{\texttimes}10(-3); rs290481, p=8.88{\texttimes}10(-5)). In African Americans, none of the SNP associations for ABI or PAD achieved an experiment-wide level of significance.

CONCLUSIONS: Genetic determinants of ABI and PAD remain elusive. Follow-up of these preliminary findings may uncover important biology given the known gene-risk factor associations. New and more powerful approaches to PAD gene discovery are warranted.

}, keywords = {Adult, African Americans, Aged, Ankle Brachial Index, Aryl Hydrocarbon Hydroxylases, Cytochrome P-450 CYP2B6, European Continental Ancestry Group, Female, Humans, Male, Middle Aged, Oxidoreductases, N-Demethylating, Peripheral Arterial Disease, Polymorphism, Single Nucleotide, Risk Factors, Transcription Factor 7-Like 2 Protein}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2012.01.039}, author = {Wassel, Christina L and Lamina, Claudia and Nambi, Vijay and Coassin, Stefan and Mukamal, Kenneth J and Ganesh, Santhi K and Jacobs, David R and Franceschini, Nora and Papanicolaou, George J and Gibson, Quince and Yanek, Lisa R and van der Harst, Pim and Ferguson, Jane F and Crawford, Dana C and Waite, Lindsay L and Allison, Matthew A and Criqui, Michael H and McDermott, Mary M and Mehra, Reena and Cupples, L Adrienne and Hwang, Shih-Jen and Redline, Susan and Kaplan, Robert C and Heiss, Gerardo and Rotter, Jerome I and Boerwinkle, Eric and Taylor, Herman A and Eraso, Luis H and Haun, Margot and Li, Mingyao and Meisinger, Christa and O{\textquoteright}Connell, Jeffrey R and Shuldiner, Alan R and Tybj{\ae}rg-Hansen, Anne and Frikke-Schmidt, Ruth and Kollerits, Barbara and Rantner, Barbara and Dieplinger, Benjamin and Stadler, Marietta and Mueller, Thomas and Haltmayer, Meinhard and Klein-Weigel, Peter and Summerer, Monika and Wichmann, H-Erich and Asselbergs, Folkert W and Navis, Gerjan and Mateo Leach, Irene and Brown-Gentry, Kristin and Goodloe, Robert and Assimes, Themistocles L and Becker, Diane M and Cooke, John P and Absher, Devin M and Olin, Jeffrey W and Mitchell, Braxton D and Reilly, Muredach P and Mohler, Emile R and North, Kari E and Reiner, Alexander P and Kronenberg, Florian and Murabito, Joanne M} } @article {5863, title = {Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies.}, journal = {Lancet Neurol}, volume = {11}, year = {2012}, month = {2012 Nov}, pages = {951-62}, abstract = {

BACKGROUND: Various genome-wide association studies (GWAS) have been done in ischaemic stroke, identifying a few loci associated with the disease, but sample sizes have been 3500 cases or less. We established the METASTROKE collaboration with the aim of validating associations from previous GWAS and identifying novel genetic associations through meta-analysis of GWAS datasets for ischaemic stroke and its subtypes.

METHODS: We meta-analysed data from 15 ischaemic stroke cohorts with a total of 12 389 individuals with ischaemic stroke and 62 004 controls, all of European ancestry. For the associations reaching genome-wide significance in METASTROKE, we did a further analysis, conditioning on the lead single nucleotide polymorphism in every associated region. Replication of novel suggestive signals was done in 13 347 cases and 29 083 controls.

FINDINGS: We verified previous associations for cardioembolic stroke near PITX2 (p=2{\textperiodcentered}8{\texttimes}10(-16)) and ZFHX3 (p=2{\textperiodcentered}28{\texttimes}10(-8)), and for large-vessel stroke at a 9p21 locus (p=3{\textperiodcentered}32{\texttimes}10(-5)) and HDAC9 (p=2{\textperiodcentered}03{\texttimes}10(-12)). Additionally, we verified that all associations were subtype specific. Conditional analysis in the three regions for which the associations reached genome-wide significance (PITX2, ZFHX3, and HDAC9) indicated that all the signal in each region could be attributed to one risk haplotype. We also identified 12 potentially novel loci at p<5{\texttimes}10(-6). However, we were unable to replicate any of these novel associations in the replication cohort.

INTERPRETATION: Our results show that, although genetic variants can be detected in patients with ischaemic stroke when compared with controls, all associations we were able to confirm are specific to a stroke subtype. This finding has two implications. First, to maximise success of genetic studies in ischaemic stroke, detailed stroke subtyping is required. Second, different genetic pathophysiological mechanisms seem to be associated with different stroke subtypes.

FUNDING: Wellcome Trust, UK Medical Research Council (MRC), Australian National and Medical Health Research Council, National Institutes of Health (NIH) including National Heart, Lung and Blood Institute (NHLBI), the National Institute on Aging (NIA), the National Human Genome Research Institute (NHGRI), and the National Institute of Neurological Disorders and Stroke (NINDS).

}, keywords = {Brain Ischemia, Databases, Genetic, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Risk Factors, Stroke}, issn = {1474-4465}, doi = {10.1016/S1474-4422(12)70234-X}, author = {Traylor, Matthew and Farrall, Martin and Holliday, Elizabeth G and Sudlow, Cathie and Hopewell, Jemma C and Cheng, Yu-Ching and Fornage, Myriam and Ikram, M Arfan and Malik, Rainer and Bevan, Steve and Thorsteinsdottir, Unnur and Nalls, Mike A and Longstreth, Wt and Wiggins, Kerri L and Yadav, Sunaina and Parati, Eugenio A and DeStefano, Anita L and Worrall, Bradford B and Kittner, Steven J and Khan, Muhammad Saleem and Reiner, Alex P and Helgadottir, Anna and Achterberg, Sefanja and Fernandez-Cadenas, Israel and Abboud, Sherine and Schmidt, Reinhold and Walters, Matthew and Chen, Wei-Min and Ringelstein, E Bernd and O{\textquoteright}Donnell, Martin and Ho, Weang Kee and Pera, Joanna and Lemmens, Robin and Norrving, Bo and Higgins, Peter and Benn, Marianne and Sale, Michele and Kuhlenb{\"a}umer, Gregor and Doney, Alexander S F and Vicente, Astrid M and Delavaran, Hossein and Algra, Ale and Davies, Gail and Oliveira, Sofia A and Palmer, Colin N A and Deary, Ian and Schmidt, Helena and Pandolfo, Massimo and Montaner, Joan and Carty, Cara and de Bakker, Paul I W and Kostulas, Konstantinos and Ferro, Jose M and van Zuydam, Natalie R and Valdimarsson, Einar and Nordestgaard, B{\o}rge G and Lindgren, Arne and Thijs, Vincent and Slowik, Agnieszka and Saleheen, Danish and Par{\'e}, Guillaume and Berger, Klaus and Thorleifsson, Gudmar and Hofman, Albert and Mosley, Thomas H and Mitchell, Braxton D and Furie, Karen and Clarke, Robert and Levi, Christopher and Seshadri, Sudha and Gschwendtner, Andreas and Boncoraglio, Giorgio B and Sharma, Pankaj and Bis, Joshua C and Gretarsdottir, Solveig and Psaty, Bruce M and Rothwell, Peter M and Rosand, Jonathan and Meschia, James F and Stefansson, Kari and Dichgans, Martin and Markus, Hugh S} } @article {1377, title = {Genome-wide association and functional follow-up reveals new loci for kidney function.}, journal = {PLoS Genet}, volume = {8}, year = {2012}, month = {2012}, pages = {e1002584}, abstract = {

Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD.

}, keywords = {African Americans, Aged, Animals, Caspase 9, Cyclin-Dependent Kinases, DEAD-box RNA Helicases, DNA Helicases, European Continental Ancestry Group, Female, Follow-Up Studies, Gene Knockdown Techniques, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Kidney, Kidney Failure, Chronic, Male, Middle Aged, Phosphoric Diester Hydrolases, Zebrafish}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002584}, author = {Pattaro, Cristian and K{\"o}ttgen, Anna and Teumer, Alexander and Garnaas, Maija and B{\"o}ger, Carsten A and Fuchsberger, Christian and Olden, Matthias and Chen, Ming-Huei and Tin, Adrienne and Taliun, Daniel and Li, Man and Gao, Xiaoyi and Gorski, Mathias and Yang, Qiong and Hundertmark, Claudia and Foster, Meredith C and O{\textquoteright}Seaghdha, Conall M and Glazer, Nicole and Isaacs, Aaron and Liu, Ching-Ti and Smith, Albert V and O{\textquoteright}Connell, Jeffrey R and Struchalin, Maksim and Tanaka, Toshiko and Li, Guo and Johnson, Andrew D and Gierman, Hinco J and Feitosa, Mary and Hwang, Shih-Jen and Atkinson, Elizabeth J and Lohman, Kurt and Cornelis, Marilyn C and Johansson, Asa and T{\"o}njes, Anke and Dehghan, Abbas and Chouraki, Vincent and Holliday, Elizabeth G and Sorice, Rossella and Kutalik, Zolt{\'a}n and Lehtim{\"a}ki, Terho and Esko, T{\~o}nu and Deshmukh, Harshal and Ulivi, Sheila and Chu, Audrey Y and Murgia, Federico and Trompet, Stella and Imboden, Medea and Kollerits, Barbara and Pistis, Giorgio and Harris, Tamara B and Launer, Lenore J and Aspelund, Thor and Eiriksdottir, Gudny and Mitchell, Braxton D and Boerwinkle, Eric and Schmidt, Helena and Cavalieri, Margherita and Rao, Madhumathi and Hu, Frank B and Demirkan, Ayse and Oostra, Ben A and de Andrade, Mariza and Turner, Stephen T and Ding, Jingzhong and Andrews, Jeanette S and Freedman, Barry I and Koenig, Wolfgang and Illig, Thomas and D{\"o}ring, Angela and Wichmann, H-Erich and Kolcic, Ivana and Zemunik, Tatijana and Boban, Mladen and Minelli, Cosetta and Wheeler, Heather E and Igl, Wilmar and Zaboli, Ghazal and Wild, Sarah H and Wright, Alan F and Campbell, Harry and Ellinghaus, David and N{\"o}thlings, Ute and Jacobs, Gunnar and Biffar, Reiner and Endlich, Karlhans and Ernst, Florian and Homuth, Georg and Kroemer, Heyo K and Nauck, Matthias and Stracke, Sylvia and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Kovacs, Peter and Stumvoll, Michael and M{\"a}gi, Reedik and Hofman, Albert and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Aulchenko, Yurii S and Polasek, Ozren and Hastie, Nick and Vitart, Veronique and Helmer, Catherine and Wang, Jie Jin and Ruggiero, Daniela and Bergmann, Sven and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Nikopensius, Tiit and Province, Michael and Ketkar, Shamika and Colhoun, Helen and Doney, Alex and Robino, Antonietta and Giulianini, Franco and Kr{\"a}mer, Bernhard K and Portas, Laura and Ford, Ian and Buckley, Brendan M and Adam, Martin and Thun, Gian-Andri and Paulweber, Bernhard and Haun, Margot and Sala, Cinzia and Metzger, Marie and Mitchell, Paul and Ciullo, Marina and Kim, Stuart K and Vollenweider, Peter and Raitakari, Olli and Metspalu, Andres and Palmer, Colin and Gasparini, Paolo and Pirastu, Mario and Jukema, J Wouter and Probst-Hensch, Nicole M and Kronenberg, Florian and Toniolo, Daniela and Gudnason, Vilmundur and Shuldiner, Alan R and Coresh, Josef and Schmidt, Reinhold and Ferrucci, Luigi and Siscovick, David S and van Duijn, Cornelia M and Borecki, Ingrid and Kardia, Sharon L R and Liu, Yongmei and Curhan, Gary C and Rudan, Igor and Gyllensten, Ulf and Wilson, James F and Franke, Andre and Pramstaller, Peter P and Rettig, Rainer and Prokopenko, Inga and Witteman, Jacqueline C M and Hayward, Caroline and Ridker, Paul and Parsa, Afshin and Bochud, Murielle and Heid, Iris M and Goessling, Wolfram and Chasman, Daniel I and Kao, W H Linda and Fox, Caroline S} } @article {6092, title = {Genome-wide association studies identify CHRNA5/3 and HTR4 in the development of airflow obstruction.}, journal = {Am J Respir Crit Care Med}, volume = {186}, year = {2012}, month = {2012 Oct 01}, pages = {622-32}, abstract = {

RATIONALE: Genome-wide association studies (GWAS) have identified loci influencing lung function, but fewer genes influencing chronic obstructive pulmonary disease (COPD) are known.

OBJECTIVES: Perform meta-analyses of GWAS for airflow obstruction, a key pathophysiologic characteristic of COPD assessed by spirometry, in population-based cohorts examining all participants, ever smokers, never smokers, asthma-free participants, and more severe cases.

METHODS: Fifteen cohorts were studied for discovery (3,368 affected; 29,507 unaffected), and a population-based family study and a meta-analysis of case-control studies were used for replication and regional follow-up (3,837 cases; 4,479 control subjects). Airflow obstruction was defined as FEV(1) and its ratio to FVC (FEV(1)/FVC) both less than their respective lower limits of normal as determined by published reference equations.

MEASUREMENTS AND MAIN RESULTS: The discovery meta-analyses identified one region on chromosome 15q25.1 meeting genome-wide significance in ever smokers that includes AGPHD1, IREB2, and CHRNA5/CHRNA3 genes. The region was also modestly associated among never smokers. Gene expression studies confirmed the presence of CHRNA5/3 in lung, airway smooth muscle, and bronchial epithelial cells. A single-nucleotide polymorphism in HTR4, a gene previously related to FEV(1)/FVC, achieved genome-wide statistical significance in combined meta-analysis. Top single-nucleotide polymorphisms in ADAM19, RARB, PPAP2B, and ADAMTS19 were nominally replicated in the COPD meta-analysis.

CONCLUSIONS: These results suggest an important role for the CHRNA5/3 region as a genetic risk factor for airflow obstruction that may be independent of smoking and implicate the HTR4 gene in the etiology of airflow obstruction.

}, keywords = {Aged, Female, Forced Expiratory Volume, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive, Receptors, Nicotinic, Receptors, Serotonin, 5-HT4, Smoking, Vital Capacity}, issn = {1535-4970}, doi = {10.1164/rccm.201202-0366OC}, author = {Wilk, Jemma B and Shrine, Nick R G and Loehr, Laura R and Zhao, Jing Hua and Manichaikul, Ani and Lopez, Lorna M and Smith, Albert Vernon and Heckbert, Susan R and Smolonska, Joanna and Tang, Wenbo and Loth, Daan W and Curjuric, Ivan and Hui, Jennie and Cho, Michael H and Latourelle, Jeanne C and Henry, Amanda P and Aldrich, Melinda and Bakke, Per and Beaty, Terri H and Bentley, Amy R and Borecki, Ingrid B and Brusselle, Guy G and Burkart, Kristin M and Chen, Ting-Hsu and Couper, David and Crapo, James D and Davies, Gail and Dupuis, Jos{\'e}e and Franceschini, Nora and Gulsvik, Amund and Hancock, Dana B and Harris, Tamara B and Hofman, Albert and Imboden, Medea and James, Alan L and Khaw, Kay-Tee and Lahousse, Lies and Launer, Lenore J and Litonjua, Augusto and Liu, Yongmei and Lohman, Kurt K and Lomas, David A and Lumley, Thomas and Marciante, Kristin D and McArdle, Wendy L and Meibohm, Bernd and Morrison, Alanna C and Musk, Arthur W and Myers, Richard H and North, Kari E and Postma, Dirkje S and Psaty, Bruce M and Rich, Stephen S and Rivadeneira, Fernando and Rochat, Thierry and Rotter, Jerome I and Soler Artigas, Maria and Starr, John M and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Wijmenga, Cisca and Zanen, Pieter and Province, Michael A and Silverman, Edwin K and Deary, Ian J and Palmer, Lyle J and Cassano, Patricia A and Gudnason, Vilmundur and Barr, R Graham and Loos, Ruth J F and Strachan, David P and London, Stephanie J and Boezen, H Marike and Probst-Hensch, Nicole and Gharib, Sina A and Hall, Ian P and O{\textquoteright}Connor, George T and Tobin, Martin D and Stricker, Bruno H} } @article {6089, title = {Genome-wide association study for circulating levels of PAI-1 provides novel insights into its regulation.}, journal = {Blood}, volume = {120}, year = {2012}, month = {2012 Dec 06}, pages = {4873-81}, abstract = {

We conducted a genome-wide association study to identify novel associations between genetic variants and circulating plasminogen activator inhibitor-1 (PAI-1) concentration, and examined functional implications of variants and genes that were discovered. A discovery meta-analysis was performed in 19 599 subjects, followed by replication analysis of genome-wide significant (P < 5 {\texttimes} 10(-8)) single nucleotide polymorphisms (SNPs) in 10 796 independent samples. We further examined associations with type 2 diabetes and coronary artery disease, assessed the functional significance of the SNPs for gene expression in human tissues, and conducted RNA-silencing experiments for one novel association. We confirmed the association of the 4G/5G proxy SNP rs2227631 in the promoter region of SERPINE1 (7q22.1) and discovered genome-wide significant associations at 3 additional loci: chromosome 7q22.1 close to SERPINE1 (rs6976053, discovery P = 3.4 {\texttimes} 10(-10)); chromosome 11p15.2 within ARNTL (rs6486122, discovery P = 3.0 {\texttimes} 10(-8)); and chromosome 3p25.2 within PPARG (rs11128603, discovery P = 2.9 {\texttimes} 10(-8)). Replication was achieved for the 7q22.1 and 11p15.2 loci. There was nominal association with type 2 diabetes and coronary artery disease at ARNTL (P < .05). Functional studies identified MUC3 as a candidate gene for the second association signal on 7q22.1. In summary, SNPs in SERPINE1 and ARNTL and an SNP associated with the expression of MUC3 were robustly associated with circulating levels of PAI-1.

}, keywords = {Adaptor Proteins, Signal Transducing, ARNTL Transcription Factors, ATPases Associated with Diverse Cellular Activities, Cell Line, Cell Line, Tumor, Cohort Studies, Coronary Artery Disease, Diabetes Mellitus, Type 2, Gene Expression Profiling, Gene Expression Regulation, Gene Frequency, Genome-Wide Association Study, Genotype, Humans, LIM Domain Proteins, Meta-Analysis as Topic, Monocytes, Mucin-3, Plasminogen Activator Inhibitor 1, Polymorphism, Single Nucleotide, PPAR gamma, Proteasome Endopeptidase Complex, RNA Interference, Transcription Factors}, issn = {1528-0020}, doi = {10.1182/blood-2012-06-436188}, author = {Huang, Jie and Sabater-Lleal, Maria and Asselbergs, Folkert W and Tregouet, David and Shin, So-Youn and Ding, Jingzhong and Baumert, Jens and Oudot-Mellakh, Tiphaine and Folkersen, Lasse and Johnson, Andrew D and Smith, Nicholas L and Williams, Scott M and Ikram, Mohammad A and Kleber, Marcus E and Becker, Diane M and Truong, Vinh and Mychaleckyj, Josyf C and Tang, Weihong and Yang, Qiong and Sennblad, Bengt and Moore, Jason H and Williams, Frances M K and Dehghan, Abbas and Silbernagel, G{\"u}nther and Schrijvers, Elisabeth M C and Smith, Shelly and Karakas, Mahir and Tofler, Geoffrey H and Silveira, Angela and Navis, Gerjan J and Lohman, Kurt and Chen, Ming-Huei and Peters, Annette and Goel, Anuj and Hopewell, Jemma C and Chambers, John C and Saleheen, Danish and Lundmark, Per and Psaty, Bruce M and Strawbridge, Rona J and Boehm, Bernhard O and Carter, Angela M and Meisinger, Christa and Peden, John F and Bis, Joshua C and McKnight, Barbara and Ohrvik, John and Taylor, Kent and Franzosi, Maria Grazia and Seedorf, Udo and Collins, Rory and Franco-Cereceda, Anders and Syv{\"a}nen, Ann-Christine and Goodall, Alison H and Yanek, Lisa R and Cushman, Mary and M{\"u}ller-Nurasyid, Martina and Folsom, Aaron R and Basu, Saonli and Matijevic, Nena and van Gilst, Wiek H and Kooner, Jaspal S and Hofman, Albert and Danesh, John and Clarke, Robert and Meigs, James B and Kathiresan, Sekar and Reilly, Muredach P and Klopp, Norman and Harris, Tamara B and Winkelmann, Bernhard R and Grant, Peter J and Hillege, Hans L and Watkins, Hugh and Spector, Timothy D and Becker, Lewis C and Tracy, Russell P and M{\"a}rz, Winfried and Uitterlinden, Andr{\'e} G and Eriksson, Per and Cambien, Francois and Morange, Pierre-Emmanuel and Koenig, Wolfgang and Soranzo, Nicole and van der Harst, Pim and Liu, Yongmei and O{\textquoteright}Donnell, Christopher J and Hamsten, Anders} } @article {6088, title = {Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function.}, journal = {PLoS Genet}, volume = {8}, year = {2012}, month = {2012}, pages = {e1003098}, abstract = {

Genome-wide association studies have identified numerous genetic loci for spirometic measures of pulmonary function, forced expiratory volume in one second (FEV(1)), and its ratio to forced vital capacity (FEV(1)/FVC). Given that cigarette smoking adversely affects pulmonary function, we conducted genome-wide joint meta-analyses (JMA) of single nucleotide polymorphism (SNP) and SNP-by-smoking (ever-smoking or pack-years) associations on FEV(1) and FEV(1)/FVC across 19 studies (total N = 50,047). We identified three novel loci not previously associated with pulmonary function. SNPs in or near DNER (smallest P(JMA = )5.00{\texttimes}10(-11)), HLA-DQB1 and HLA-DQA2 (smallest P(JMA = )4.35{\texttimes}10(-9)), and KCNJ2 and SOX9 (smallest P(JMA = )1.28{\texttimes}10(-8)) were associated with FEV(1)/FVC or FEV(1) in meta-analysis models including SNP main effects, smoking main effects, and SNP-by-smoking (ever-smoking or pack-years) interaction. The HLA region has been widely implicated for autoimmune and lung phenotypes, unlike the other novel loci, which have not been widely implicated. We evaluated DNER, KCNJ2, and SOX9 and found them to be expressed in human lung tissue. DNER and SOX9 further showed evidence of differential expression in human airway epithelium in smokers compared to non-smokers. Our findings demonstrated that joint testing of SNP and SNP-by-environment interaction identified novel loci associated with complex traits that are missed when considering only the genetic main effects.

}, keywords = {Forced Expiratory Volume, Gene Expression, Genome, Human, Genome-Wide Association Study, HLA-DQ Antigens, HLA-DQ beta-Chains, Humans, Lung, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Potassium Channels, Inwardly Rectifying, Pulmonary Disease, Chronic Obstructive, Receptors, Cell Surface, Smoking, SOX9 Transcription Factor, Vital Capacity}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003098}, author = {Hancock, Dana B and Soler Artigas, Maria and Gharib, Sina A and Henry, Amanda and Manichaikul, Ani and Ramasamy, Adaikalavan and Loth, Daan W and Imboden, Medea and Koch, Beate and McArdle, Wendy L and Smith, Albert V and Smolonska, Joanna and Sood, Akshay and Tang, Wenbo and Wilk, Jemma B and Zhai, Guangju and Zhao, Jing Hua and Aschard, Hugues and Burkart, Kristin M and Curjuric, Ivan and Eijgelsheim, Mark and Elliott, Paul and Gu, Xiangjun and Harris, Tamara B and Janson, Christer and Homuth, Georg and Hysi, Pirro G and Liu, Jason Z and Loehr, Laura R and Lohman, Kurt and Loos, Ruth J F and Manning, Alisa K and Marciante, Kristin D and Obeidat, Ma{\textquoteright}en and Postma, Dirkje S and Aldrich, Melinda C and Brusselle, Guy G and Chen, Ting-Hsu and Eiriksdottir, Gudny and Franceschini, Nora and Heinrich, Joachim and Rotter, Jerome I and Wijmenga, Cisca and Williams, O Dale and Bentley, Amy R and Hofman, Albert and Laurie, Cathy C and Lumley, Thomas and Morrison, Alanna C and Joubert, Bonnie R and Rivadeneira, Fernando and Couper, David J and Kritchevsky, Stephen B and Liu, Yongmei and Wjst, Matthias and Wain, Louise V and Vonk, Judith M and Uitterlinden, Andr{\'e} G and Rochat, Thierry and Rich, Stephen S and Psaty, Bruce M and O{\textquoteright}Connor, George T and North, Kari E and Mirel, Daniel B and Meibohm, Bernd and Launer, Lenore J and Khaw, Kay-Tee and Hartikainen, Anna-Liisa and Hammond, Christopher J and Gl{\"a}ser, Sven and Marchini, Jonathan and Kraft, Peter and Wareham, Nicholas J and V{\"o}lzke, Henry and Stricker, Bruno H C and Spector, Timothy D and Probst-Hensch, Nicole M and Jarvis, Deborah and Jarvelin, Marjo-Riitta and Heckbert, Susan R and Gudnason, Vilmundur and Boezen, H Marike and Barr, R Graham and Cassano, Patricia A and Strachan, David P and Fornage, Myriam and Hall, Ian P and Dupuis, Jos{\'e}e and Tobin, Martin D and London, Stephanie J} } @article {8016, title = {Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture.}, journal = {Nat Genet}, volume = {44}, year = {2012}, month = {2012 Apr 15}, pages = {491-501}, abstract = {

Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 {\texttimes} 10(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 {\texttimes} 10(-4), Bonferroni corrected), of which six reached P < 5 {\texttimes} 10(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility.

}, keywords = {Bone Density, Computational Biology, European Continental Ancestry Group, Extracellular Matrix Proteins, Female, Femur Neck, Fractures, Bone, Gene Expression Profiling, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Glycoproteins, Humans, Intercellular Signaling Peptides and Proteins, Low Density Lipoprotein Receptor-Related Protein-5, Lumbar Vertebrae, Male, Mitochondrial Membrane Transport Proteins, Osteoporosis, Phosphoproteins, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Spectrin}, issn = {1546-1718}, doi = {10.1038/ng.2249}, author = {Estrada, Karol and Styrkarsdottir, Unnur and Evangelou, Evangelos and Hsu, Yi-Hsiang and Duncan, Emma L and Ntzani, Evangelia E and Oei, Ling and Albagha, Omar M E and Amin, Najaf and Kemp, John P and Koller, Daniel L and Li, Guo and Liu, Ching-Ti and Minster, Ryan L and Moayyeri, Alireza and Vandenput, Liesbeth and Willner, Dana and Xiao, Su-Mei and Yerges-Armstrong, Laura M and Zheng, Hou-Feng and Alonso, Nerea and Eriksson, Joel and Kammerer, Candace M and Kaptoge, Stephen K and Leo, Paul J and Thorleifsson, Gudmar and Wilson, Scott G and Wilson, James F and Aalto, Ville and Alen, Markku and Aragaki, Aaron K and Aspelund, Thor and Center, Jacqueline R and Dailiana, Zoe and Duggan, David J and Garcia, Melissa and Garc{\'\i}a-Giralt, Natalia and Giroux, Sylvie and Hallmans, G{\"o}ran and Hocking, Lynne J and Husted, Lise Bjerre and Jameson, Karen A and Khusainova, Rita and Kim, Ghi Su and Kooperberg, Charles and Koromila, Theodora and Kruk, Marcin and Laaksonen, Marika and LaCroix, Andrea Z and Lee, Seung Hun and Leung, Ping C and Lewis, Joshua R and Masi, Laura and Mencej-Bedrac, Simona and Nguyen, Tuan V and Nogues, Xavier and Patel, Millan S and Prezelj, Janez and Rose, Lynda M and Scollen, Serena and Siggeirsdottir, Kristin and Smith, Albert V and Svensson, Olle and Trompet, Stella and Trummer, Olivia and van Schoor, Natasja M and Woo, Jean and Zhu, Kun and Balcells, Susana and Brandi, Maria Luisa and Buckley, Brendan M and Cheng, Sulin and Christiansen, Claus and Cooper, Cyrus and Dedoussis, George and Ford, Ian and Frost, Morten and Goltzman, David and Gonz{\'a}lez-Mac{\'\i}as, Jes{\'u}s and K{\"a}h{\"o}nen, Mika and Karlsson, Magnus and Khusnutdinova, Elza and Koh, Jung-Min and Kollia, Panagoula and Langdahl, Bente Lomholt and Leslie, William D and Lips, Paul and Ljunggren, Osten and Lorenc, Roman S and Marc, Janja and Mellstr{\"o}m, Dan and Obermayer-Pietsch, Barbara and Olmos, Jos{\'e} M and Pettersson-Kymmer, Ulrika and Reid, David M and Riancho, Jos{\'e} A and Ridker, Paul M and Rousseau, Fran{\c c}ois and Slagboom, P Eline and Tang, Nelson L S and Urreizti, Roser and Van Hul, Wim and Viikari, Jorma and Zarrabeitia, Mar{\'\i}a T and Aulchenko, Yurii S and Castano-Betancourt, Martha and Grundberg, Elin and Herrera, Lizbeth and Ingvarsson, Thorvaldur and Johannsdottir, Hrefna and Kwan, Tony and Li, Rui and Luben, Robert and Medina-G{\'o}mez, Carolina and Palsson, Stefan Th and Reppe, Sjur and Rotter, Jerome I and Sigurdsson, Gunnar and van Meurs, Joyce B J and Verlaan, Dominique and Williams, Frances M K and Wood, Andrew R and Zhou, Yanhua and Gautvik, Kaare M and Pastinen, Tomi and Raychaudhuri, Soumya and Cauley, Jane A and Chasman, Daniel I and Clark, Graeme R and Cummings, Steven R and Danoy, Patrick and Dennison, Elaine M and Eastell, Richard and Eisman, John A and Gudnason, Vilmundur and Hofman, Albert and Jackson, Rebecca D and Jones, Graeme and Jukema, J Wouter and Khaw, Kay-Tee and Lehtim{\"a}ki, Terho and Liu, Yongmei and Lorentzon, Mattias and McCloskey, Eugene and Mitchell, Braxton D and Nandakumar, Kannabiran and Nicholson, Geoffrey C and Oostra, Ben A and Peacock, Munro and Pols, Huibert A P and Prince, Richard L and Raitakari, Olli and Reid, Ian R and Robbins, John and Sambrook, Philip N and Sham, Pak Chung and Shuldiner, Alan R and Tylavsky, Frances A and van Duijn, Cornelia M and Wareham, Nick J and Cupples, L Adrienne and Econs, Michael J and Evans, David M and Harris, Tamara B and Kung, Annie Wai Chee and Psaty, Bruce M and Reeve, Jonathan and Spector, Timothy D and Streeten, Elizabeth A and Zillikens, M Carola and Thorsteinsdottir, Unnur and Ohlsson, Claes and Karasik, David and Richards, J Brent and Brown, Matthew A and Stefansson, Kari and Uitterlinden, Andr{\'e} G and Ralston, Stuart H and Ioannidis, John P A and Kiel, Douglas P and Rivadeneira, Fernando} } @article {1395, title = {Kidney function and mortality in octogenarians: Cardiovascular Health Study All Stars.}, journal = {J Am Geriatr Soc}, volume = {60}, year = {2012}, month = {2012 Jul}, pages = {1201-7}, abstract = {

OBJECTIVES: To examine the association between kidney function and all-cause mortality in octogenarians.

DESIGN: Retrospective analysis of prospectively collected data.

SETTING: Community.

PARTICIPANTS: Serum creatinine and cystatin C were measured in 1,053 Cardiovascular Health Study (CHS) All Stars participants.

MEASUREMENTS: Estimated glomerular filtration rate (eGFR) was determined using the Chronic Kidney Disease Epidemiology Collaboration creatinine (eGFR(CR) ) and cystatin C one-variable (eGFR(CYS) ) equations. The association between quintiles of kidney function and all-cause mortality was analyzed using unadjusted and adjusted Cox proportional hazards models.

RESULTS: Mean age of the participants was 85, 64\% were female, 66\% had hypertension, 14\% had diabetes mellitus, and 39\% had prevalent cardiovascular disease. There were 154 deaths over a median follow-up of 2.6 years. The association between eGFR(CR) and all-cause mortality was U-shaped. In comparison with the reference quintile (64-75 mL/min per 1.73 m(2) ), the highest (>= 75 mL/min per 1.73 m(2) ) and lowest (<= 43 mL/min per 1.73 m(2) ) quintiles of eGFR(CR) were independently associated with mortality (hazard ratio (HR) = 2.49, 95\% confidence interval (CI) = 1.36-4.55; HR = 2.28, 95\% CI = 1.26-4.10, respectively). The association between eGFR(CYS) and all-cause mortality was linear in those with eGFR(CYS) of less than 60 mL/min per 1.73 m(2) , and in the multivariate analyses, the lowest quintile of eGFR(CYS) (<52 mL/min per 1.73 m(2) ) was significantly associated with mortality (HR = 2.04, 95\% CI = 1.12-3.71) compared with the highest quintile (>0.88 mL/min per 1.73 m(2) ).

CONCLUSION: Moderate reduction in kidney function is a risk factor for all-cause mortality in octogenarians. The association between eGFR(CR) and all-cause mortality differed from that observed with eGFR(CYS) ; the relationship was U-shaped for eGFR(CR) , whereas the risk was primarily present in the lowest quintile for eGFR(CYS) .

}, keywords = {Aged, 80 and over, Analysis of Variance, Cardiovascular Diseases, Chi-Square Distribution, Creatinine, Cystatin C, Diabetes Mellitus, Female, Glomerular Filtration Rate, Humans, Hypertension, Kidney Diseases, Male, Prevalence, Proportional Hazards Models, Retrospective Studies, Risk Factors, United States}, issn = {1532-5415}, doi = {10.1111/j.1532-5415.2012.04046.x}, author = {Shastri, Shani and Katz, Ronit and Rifkin, Dena E and Fried, Linda F and Odden, Michelle C and Peralta, Carmen A and Chonchol, Michel and Siscovick, David and Shlipak, Michael G and Newman, Anne B and Sarnak, Mark J} } @article {6091, title = {Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.}, journal = {Nat Genet}, volume = {44}, year = {2012}, month = {2012 Sep}, pages = {991-1005}, abstract = {

Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.

}, keywords = {Adult, Animals, Blood Glucose, Fasting, Female, Gene Frequency, Genome-Wide Association Study, Humans, Insulin, Male, Metabolic Networks and Pathways, Mice, Osmolar Concentration, Quantitative Trait Loci}, issn = {1546-1718}, doi = {10.1038/ng.2385}, author = {Scott, Robert A and Lagou, Vasiliki and Welch, Ryan P and Wheeler, Eleanor and Montasser, May E and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Strawbridge, Rona J and Rehnberg, Emil and Gustafsson, Stefan and Kanoni, Stavroula and Rasmussen-Torvik, Laura J and Yengo, Loic and Lecoeur, C{\'e}cile and Shungin, Dmitry and Sanna, Serena and Sidore, Carlo and Johnson, Paul C D and Jukema, J Wouter and Johnson, Toby and Mahajan, Anubha and Verweij, Niek and Thorleifsson, Gudmar and Hottenga, Jouke-Jan and Shah, Sonia and Smith, Albert V and Sennblad, Bengt and Gieger, Christian and Salo, Perttu and Perola, Markus and Timpson, Nicholas J and Evans, David M and Pourcain, Beate St and Wu, Ying and Andrews, Jeanette S and Hui, Jennie and Bielak, Lawrence F and Zhao, Wei and Horikoshi, Momoko and Navarro, Pau and Isaacs, Aaron and O{\textquoteright}Connell, Jeffrey R and Stirrups, Kathleen and Vitart, Veronique and Hayward, Caroline and Esko, T{\~o}nu and Mihailov, Evelin and Fraser, Ross M and Fall, Tove and Voight, Benjamin F and Raychaudhuri, Soumya and Chen, Han and Lindgren, Cecilia M and Morris, Andrew P and Rayner, Nigel W and Robertson, Neil and Rybin, Denis and Liu, Ching-Ti and Beckmann, Jacques S and Willems, Sara M and Chines, Peter S and Jackson, Anne U and Kang, Hyun Min and Stringham, Heather M and Song, Kijoung and Tanaka, Toshiko and Peden, John F and Goel, Anuj and Hicks, Andrew A and An, Ping and M{\"u}ller-Nurasyid, Martina and Franco-Cereceda, Anders and Folkersen, Lasse and Marullo, Letizia and Jansen, Hanneke and Oldehinkel, Albertine J and Bruinenberg, Marcel and Pankow, James S and North, Kari E and Forouhi, Nita G and Loos, Ruth J F and Edkins, Sarah and Varga, Tibor V and Hallmans, G{\"o}ran and Oksa, Heikki and Antonella, Mulas and Nagaraja, Ramaiah and Trompet, Stella and Ford, Ian and Bakker, Stephan J L and Kong, Augustine and Kumari, Meena and Gigante, Bruna and Herder, Christian and Munroe, Patricia B and Caulfield, Mark and Antti, Jula and Mangino, Massimo and Small, Kerrin and Miljkovic, Iva and Liu, Yongmei and Atalay, Mustafa and Kiess, Wieland and James, Alan L and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Palmer, Colin N A and Doney, Alex S F and Willemsen, Gonneke and Smit, Johannes H and Campbell, Susan and Polasek, Ozren and Bonnycastle, Lori L and Hercberg, Serge and Dimitriou, Maria and Bolton, Jennifer L and Fowkes, Gerard R and Kovacs, Peter and Lindstr{\"o}m, Jaana and Zemunik, Tatijana and Bandinelli, Stefania and Wild, Sarah H and Basart, Hanneke V and Rathmann, Wolfgang and Grallert, Harald and Maerz, Winfried and Kleber, Marcus E and Boehm, Bernhard O and Peters, Annette and Pramstaller, Peter P and Province, Michael A and Borecki, Ingrid B and Hastie, Nicholas D and Rudan, Igor and Campbell, Harry and Watkins, Hugh and Farrall, Martin and Stumvoll, Michael and Ferrucci, Luigi and Waterworth, Dawn M and Bergman, Richard N and Collins, Francis S and Tuomilehto, Jaakko and Watanabe, Richard M and de Geus, Eco J C and Penninx, Brenda W and Hofman, Albert and Oostra, Ben A and Psaty, Bruce M and Vollenweider, Peter and Wilson, James F and Wright, Alan F and Hovingh, G Kees and Metspalu, Andres and Uusitupa, Matti and Magnusson, Patrik K E and Kyvik, Kirsten O and Kaprio, Jaakko and Price, Jackie F and Dedoussis, George V and Deloukas, Panos and Meneton, Pierre and Lind, Lars and Boehnke, Michael and Shuldiner, Alan R and van Duijn, Cornelia M and Morris, Andrew D and Toenjes, Anke and Peyser, Patricia A and Beilby, John P and K{\"o}rner, Antje and Kuusisto, Johanna and Laakso, Markku and Bornstein, Stefan R and Schwarz, Peter E H and Lakka, Timo A and Rauramaa, Rainer and Adair, Linda S and Smith, George Davey and Spector, Tim D and Illig, Thomas and de Faire, Ulf and Hamsten, Anders and Gudnason, Vilmundur and Kivimaki, Mika and Hingorani, Aroon and Keinanen-Kiukaanniemi, Sirkka M and Saaristo, Timo E and Boomsma, Dorret I and Stefansson, Kari and van der Harst, Pim and Dupuis, Jos{\'e}e and Pedersen, Nancy L and Sattar, Naveed and Harris, Tamara B and Cucca, Francesco and Ripatti, Samuli and Salomaa, Veikko and Mohlke, Karen L and Balkau, Beverley and Froguel, Philippe and Pouta, Anneli and Jarvelin, Marjo-Riitta and Wareham, Nicholas J and Bouatia-Naji, Nabila and McCarthy, Mark I and Franks, Paul W and Meigs, James B and Teslovich, Tanya M and Florez, Jose C and Langenberg, Claudia and Ingelsson, Erik and Prokopenko, Inga and Barroso, In{\^e}s} } @article {1399, title = {Lipid-related markers and cardiovascular disease prediction.}, journal = {JAMA}, volume = {307}, year = {2012}, month = {2012 Jun 20}, pages = {2499-506}, abstract = {

CONTEXT: The value of assessing various emerging lipid-related markers for prediction of first cardiovascular events is debated.

OBJECTIVE: To determine whether adding information on apolipoprotein B and apolipoprotein A-I, lipoprotein(a), or lipoprotein-associated phospholipase A2 to total cholesterol and high-density lipoprotein cholesterol (HDL-C) improves cardiovascular disease (CVD) risk prediction.

DESIGN, SETTING, AND PARTICIPANTS: Individual records were available for 165,544 participants without baseline CVD in 37 prospective cohorts (calendar years of recruitment: 1968-2007) with up to 15,126 incident fatal or nonfatal CVD outcomes (10,132 CHD and 4994 stroke outcomes) during a median follow-up of 10.4 years (interquartile range, 7.6-14 years).

MAIN OUTCOME MEASURES: Discrimination of CVD outcomes and reclassification of participants across predicted 10-year risk categories of low (<10\%), intermediate (10\%-<20\%), and high (>=20\%) risk.

RESULTS: The addition of information on various lipid-related markers to total cholesterol, HDL-C, and other conventional risk factors yielded improvement in the model{\textquoteright}s discrimination: C-index change, 0.0006 (95\% CI, 0.0002-0.0009) for the combination of apolipoprotein B and A-I; 0.0016 (95\% CI, 0.0009-0.0023) for lipoprotein(a); and 0.0018 (95\% CI, 0.0010-0.0026) for lipoprotein-associated phospholipase A2 mass. Net reclassification improvements were less than 1\% with the addition of each of these markers to risk scores containing conventional risk factors. We estimated that for 100,000 adults aged 40 years or older, 15,436 would be initially classified at intermediate risk using conventional risk factors alone. Additional testing with a combination of apolipoprotein B and A-I would reclassify 1.1\%; lipoprotein(a), 4.1\%; and lipoprotein-associated phospholipase A2 mass, 2.7\% of people to a 20\% or higher predicted CVD risk category and, therefore, in need of statin treatment under Adult Treatment Panel III guidelines.

CONCLUSION: In a study of individuals without known CVD, the addition of information on the combination of apolipoprotein B and A-I, lipoprotein(a), or lipoprotein-associated phospholipase A2 mass to risk scores containing total cholesterol and HDL-C led to slight improvement in CVD prediction.

}, keywords = {Aged, Biomarkers, Cardiovascular Diseases, Cholesterol, HDL, Cohort Studies, Female, Humans, Lipoproteins, Male, Middle Aged, Risk Assessment}, issn = {1538-3598}, doi = {10.1001/jama.2012.6571}, author = {Di Angelantonio, Emanuele and Gao, Pei and Pennells, Lisa and Kaptoge, Stephen and Caslake, Muriel and Thompson, Alexander and Butterworth, Adam S and Sarwar, Nadeem and Wormser, David and Saleheen, Danish and Ballantyne, Christie M and Psaty, Bruce M and Sundstr{\"o}m, Johan and Ridker, Paul M and Nagel, Dorothea and Gillum, Richard F and Ford, Ian and Ducimetiere, Pierre and Kiechl, Stefan and Koenig, Wolfgang and Dullaart, Robin P F and Assmann, Gerd and D{\textquoteright}Agostino, Ralph B and Dagenais, Gilles R and Cooper, Jackie A and Kromhout, Daan and Onat, Altan and Tipping, Robert W and G{\'o}mez-de-la-C{\'a}mara, Agust{\'\i}n and Rosengren, Annika and Sutherland, Susan E and Gallacher, John and Fowkes, F Gerry R and Casiglia, Edoardo and Hofman, Albert and Salomaa, Veikko and Barrett-Connor, Elizabeth and Clarke, Robert and Brunner, Eric and Jukema, J Wouter and Simons, Leon A and Sandhu, Manjinder and Wareham, Nicholas J and Khaw, Kay-Tee and Kauhanen, Jussi and Salonen, Jukka T and Howard, William J and Nordestgaard, B{\o}rge G and Wood, Angela M and Thompson, Simon G and Boekholdt, S Matthijs and Sattar, Naveed and Packard, Chris and Gudnason, Vilmundur and Danesh, John} } @article {1360, title = {Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways.}, journal = {Nat Genet}, volume = {44}, year = {2012}, month = {2012 Jan 22}, pages = {260-8}, abstract = {

To newly identify loci for age at natural menopause, we carried out a meta-analysis of 22 genome-wide association studies (GWAS) in 38,968 women of European descent, with replication in up to 14,435 women. In addition to four known loci, we identified 13 loci newly associated with age at natural menopause (at P < 5 {\texttimes} 10(-8)). Candidate genes located at these newly associated loci include genes implicated in DNA repair (EXO1, HELQ, UIMC1, FAM175A, FANCI, TLK1, POLG and PRIM1) and immune function (IL11, NLRP11 and PRRC2A (also known as BAT2)). Gene-set enrichment pathway analyses using the full GWAS data set identified exoDNase, NF-κB signaling and mitochondrial dysfunction as biological processes related to timing of menopause.

}, keywords = {Age Factors, DNA Helicases, DNA Polymerase gamma, DNA Primase, DNA Repair, DNA Repair Enzymes, DNA-Directed DNA Polymerase, European Continental Ancestry Group, Exodeoxyribonucleases, Female, Genetic Loci, Genome-Wide Association Study, Humans, Immunity, Menopause, Polymorphism, Single Nucleotide, Proteins}, issn = {1546-1718}, doi = {10.1038/ng.1051}, author = {Stolk, Lisette and Perry, John R B and Chasman, Daniel I and He, Chunyan and Mangino, Massimo and Sulem, Patrick and Barbalic, Maja and Broer, Linda and Byrne, Enda M and Ernst, Florian and Esko, T{\~o}nu and Franceschini, Nora and Gudbjartsson, Daniel F and Hottenga, Jouke-Jan and Kraft, Peter and McArdle, Patrick F and Porcu, Eleonora and Shin, So-Youn and Smith, Albert V and van Wingerden, Sophie and Zhai, Guangju and Zhuang, Wei V and Albrecht, Eva and Alizadeh, Behrooz Z and Aspelund, Thor and Bandinelli, Stefania and Lauc, Lovorka Barac and Beckmann, Jacques S and Boban, Mladen and Boerwinkle, Eric and Broekmans, Frank J and Burri, Andrea and Campbell, Harry and Chanock, Stephen J and Chen, Constance and Cornelis, Marilyn C and Corre, Tanguy and Coviello, Andrea D and D{\textquoteright}Adamo, Pio and Davies, Gail and de Faire, Ulf and de Geus, Eco J C and Deary, Ian J and Dedoussis, George V Z and Deloukas, Panagiotis and Ebrahim, Shah and Eiriksdottir, Gudny and Emilsson, Valur and Eriksson, Johan G and Fauser, Bart C J M and Ferreli, Liana and Ferrucci, Luigi and Fischer, Krista and Folsom, Aaron R and Garcia, Melissa E and Gasparini, Paolo and Gieger, Christian and Glazer, Nicole and Grobbee, Diederick E and Hall, Per and Haller, Toomas and Hankinson, Susan E and Hass, Merli and Hayward, Caroline and Heath, Andrew C and Hofman, Albert and Ingelsson, Erik and Janssens, A Cecile J W and Johnson, Andrew D and Karasik, David and Kardia, Sharon L R and Keyzer, Jules and Kiel, Douglas P and Kolcic, Ivana and Kutalik, Zolt{\'a}n and Lahti, Jari and Lai, Sandra and Laisk, Triin and Laven, Joop S E and Lawlor, Debbie A and Liu, Jianjun and Lopez, Lorna M and Louwers, Yvonne V and Magnusson, Patrik K E and Marongiu, Mara and Martin, Nicholas G and Klaric, Irena Martinovic and Masciullo, Corrado and McKnight, Barbara and Medland, Sarah E and Melzer, David and Mooser, Vincent and Navarro, Pau and Newman, Anne B and Nyholt, Dale R and Onland-Moret, N Charlotte and Palotie, Aarno and Par{\'e}, Guillaume and Parker, Alex N and Pedersen, Nancy L and Peeters, Petra H M and Pistis, Giorgio and Plump, Andrew S and Polasek, Ozren and Pop, Victor J M and Psaty, Bruce M and R{\"a}ikk{\"o}nen, Katri and Rehnberg, Emil and Rotter, Jerome I and Rudan, Igor and Sala, Cinzia and Salumets, Andres and Scuteri, Angelo and Singleton, Andrew and Smith, Jennifer A and Snieder, Harold and Soranzo, Nicole and Stacey, Simon N and Starr, John M and Stathopoulou, Maria G and Stirrups, Kathleen and Stolk, Ronald P and Styrkarsdottir, Unnur and Sun, Yan V and Tenesa, Albert and Thorand, Barbara and Toniolo, Daniela and Tryggvadottir, Laufey and Tsui, Kim and Ulivi, Sheila and van Dam, Rob M and van der Schouw, Yvonne T and van Gils, Carla H and van Nierop, Peter and Vink, Jacqueline M and Visscher, Peter M and Voorhuis, Marlies and Waeber, G{\'e}rard and Wallaschofski, Henri and Wichmann, H Erich and Widen, Elisabeth and Wijnands-van Gent, Colette J M and Willemsen, Gonneke and Wilson, James F and Wolffenbuttel, Bruce H R and Wright, Alan F and Yerges-Armstrong, Laura M and Zemunik, Tatijana and Zgaga, Lina and Zillikens, M Carola and Zygmunt, Marek and Arnold, Alice M and Boomsma, Dorret I and Buring, Julie E and Crisponi, Laura and Demerath, Ellen W and Gudnason, Vilmundur and Harris, Tamara B and Hu, Frank B and Hunter, David J and Launer, Lenore J and Metspalu, Andres and Montgomery, Grant W and Oostra, Ben A and Ridker, Paul M and Sanna, Serena and Schlessinger, David and Spector, Tim D and Stefansson, Kari and Streeten, Elizabeth A and Thorsteinsdottir, Unnur and Uda, Manuela and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and V{\"o}lzke, Henry and Murray, Anna and Murabito, Joanne M and Visser, Jenny A and Lunetta, Kathryn L} } @article {1383, title = {Meta-analysis identifies six new susceptibility loci for atrial fibrillation.}, journal = {Nat Genet}, volume = {44}, year = {2012}, month = {2012 Apr 29}, pages = {670-5}, abstract = {

Atrial fibrillation is a highly prevalent arrhythmia and a major risk factor for stroke, heart failure and death. We conducted a genome-wide association study (GWAS) in individuals of European ancestry, including 6,707 with and 52,426 without atrial fibrillation. Six new atrial fibrillation susceptibility loci were identified and replicated in an additional sample of individuals of European ancestry, including 5,381 subjects with and 10,030 subjects without atrial fibrillation (P < 5 {\texttimes} 10(-8)). Four of the loci identified in Europeans were further replicated in silico in a GWAS of Japanese individuals, including 843 individuals with and 3,350 individuals without atrial fibrillation. The identified loci implicate candidate genes that encode transcription factors related to cardiopulmonary development, cardiac-expressed ion channels and cell signaling molecules.

}, keywords = {Adolescent, Adult, Aged, Aged, 80 and over, Asian Continental Ancestry Group, Atrial Fibrillation, Child, Child, Preschool, European Continental Ancestry Group, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Infant, Infant, Newborn, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors, Young Adult}, issn = {1546-1718}, doi = {10.1038/ng.2261}, author = {Ellinor, Patrick T and Lunetta, Kathryn L and Albert, Christine M and Glazer, Nicole L and Ritchie, Marylyn D and Smith, Albert V and Arking, Dan E and M{\"u}ller-Nurasyid, Martina and Krijthe, Bouwe P and Lubitz, Steven A and Bis, Joshua C and Chung, Mina K and D{\"o}rr, Marcus and Ozaki, Kouichi and Roberts, Jason D and Smith, J Gustav and Pfeufer, Arne and Sinner, Moritz F and Lohman, Kurt and Ding, Jingzhong and Smith, Nicholas L and Smith, Jonathan D and Rienstra, Michiel and Rice, Kenneth M and Van Wagoner, David R and Magnani, Jared W and Wakili, Reza and Clauss, Sebastian and Rotter, Jerome I and Steinbeck, Gerhard and Launer, Lenore J and Davies, Robert W and Borkovich, Matthew and Harris, Tamara B and Lin, Honghuang and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Milan, David J and Hofman, Albert and Boerwinkle, Eric and Chen, Lin Y and Soliman, Elsayed Z and Voight, Benjamin F and Li, Guo and Chakravarti, Aravinda and Kubo, Michiaki and Tedrow, Usha B and Rose, Lynda M and Ridker, Paul M and Conen, David and Tsunoda, Tatsuhiko and Furukawa, Tetsushi and Sotoodehnia, Nona and Xu, Siyan and Kamatani, Naoyuki and Levy, Daniel and Nakamura, Yusuke and Parvez, Babar and Mahida, Saagar and Furie, Karen L and Rosand, Jonathan and Muhammad, Raafia and Psaty, Bruce M and Meitinger, Thomas and Perz, Siegfried and Wichmann, H-Erich and Witteman, Jacqueline C M and Kao, W H Linda and Kathiresan, Sekar and Roden, Dan M and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and McKnight, Barbara and Sj{\"o}gren, Marketa and Newman, Anne B and Liu, Yongmei and Gollob, Michael H and Melander, Olle and Tanaka, Toshihiro and Stricker, Bruno H Ch and Felix, Stephan B and Alonso, Alvaro and Darbar, Dawood and Barnard, John and Chasman, Daniel I and Heckbert, Susan R and Benjamin, Emelia J and Gudnason, Vilmundur and K{\"a}{\"a}b, Stefan} } @article {1388, title = {Multi-ethnic analysis of lipid-associated loci: the NHLBI CARe project.}, journal = {PLoS One}, volume = {7}, year = {2012}, month = {2012}, pages = {e36473}, abstract = {

BACKGROUND: Whereas it is well established that plasma lipid levels have substantial heritability within populations, it remains unclear how many of the genetic determinants reported in previous studies (largely performed in European American cohorts) are relevant in different ethnicities.

METHODOLOGY/PRINCIPAL FINDINGS: We tested a set of \~{}50,000 polymorphisms from \~{}2,000 candidate genes and genetic loci from genome-wide association studies (GWAS) for association with low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) in 25,000 European Americans and 9,000 African Americans in the National Heart, Lung, and Blood Institute (NHLBI) Candidate Gene Association Resource (CARe). We replicated associations for a number of genes in one or both ethnicities and identified a novel lipid-associated variant in a locus harboring ICAM1. We compared the architecture of genetic loci associated with lipids in both African Americans and European Americans and found that the same genes were relevant across ethnic groups but the specific associated variants at each gene often differed.

CONCLUSIONS/SIGNIFICANCE: We identify or provide further evidence for a number of genetic determinants of plasma lipid levels through population association studies. In many loci the determinants appear to differ substantially between African Americans and European Americans.

}, keywords = {African Americans, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Genetic Association Studies, Genetic Loci, Humans, Polymorphism, Single Nucleotide, Triglycerides}, issn = {1932-6203}, doi = {10.1371/journal.pone.0036473}, author = {Musunuru, Kiran and Romaine, Simon P R and Lettre, Guillaume and Wilson, James G and Volcik, Kelly A and Tsai, Michael Y and Taylor, Herman A and Schreiner, Pamela J and Rotter, Jerome I and Rich, Stephen S and Redline, Susan and Psaty, Bruce M and Papanicolaou, George J and Ordovas, Jose M and Liu, Kiang and Krauss, Ronald M and Glazer, Nicole L and Gabriel, Stacey B and Fornage, Myriam and Cupples, L Adrienne and Buxbaum, Sarah G and Boerwinkle, Eric and Ballantyne, Christie M and Kathiresan, Sekar and Rader, Daniel J} } @article {1378, title = {Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.}, journal = {PLoS Genet}, volume = {8}, year = {2012}, month = {2012}, pages = {e1002607}, abstract = {

Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5{\texttimes}10(-8)-1.2{\texttimes}10(-43)). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p<3{\texttimes}10(-4)). We next developed a multi-SNP genotypic risk score to test the association of adiponectin decreasing risk alleles on metabolic traits and diseases using consortia-level meta-analytic data. This risk score was associated with increased risk of T2D (p = 4.3{\texttimes}10(-3), n = 22,044), increased triglycerides (p = 2.6{\texttimes}10(-14), n = 93,440), increased waist-to-hip ratio (p = 1.8{\texttimes}10(-5), n = 77,167), increased glucose two hours post oral glucose tolerance testing (p = 4.4{\texttimes}10(-3), n = 15,234), increased fasting insulin (p = 0.015, n = 48,238), but with lower in HDL-cholesterol concentrations (p = 4.5{\texttimes}10(-13), n = 96,748) and decreased BMI (p = 1.4{\texttimes}10(-4), n = 121,335). These findings identify novel genetic determinants of adiponectin levels, which, taken together, influence risk of T2D and markers of insulin resistance.

}, keywords = {Adiponectin, African Americans, Asian Continental Ancestry Group, Cholesterol, HDL, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Female, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study, Glucose Tolerance Test, Humans, Insulin Resistance, Male, Metabolic Networks and Pathways, Polymorphism, Single Nucleotide, Waist-Hip Ratio}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002607}, author = {Dastani, Zari and Hivert, Marie-France and Timpson, Nicholas and Perry, John R B and Yuan, Xin and Scott, Robert A and Henneman, Peter and Heid, Iris M and Kizer, Jorge R and Lyytik{\"a}inen, Leo-Pekka and Fuchsberger, Christian and Tanaka, Toshiko and Morris, Andrew P and Small, Kerrin and Isaacs, Aaron and Beekman, Marian and Coassin, Stefan and Lohman, Kurt and Qi, Lu and Kanoni, Stavroula and Pankow, James S and Uh, Hae-Won and Wu, Ying and Bidulescu, Aurelian and Rasmussen-Torvik, Laura J and Greenwood, Celia M T and Ladouceur, Martin and Grimsby, Jonna and Manning, Alisa K and Liu, Ching-Ti and Kooner, Jaspal and Mooser, Vincent E and Vollenweider, Peter and Kapur, Karen A and Chambers, John and Wareham, Nicholas J and Langenberg, Claudia and Frants, Rune and Willems-Vandijk, Ko and Oostra, Ben A and Willems, Sara M and Lamina, Claudia and Winkler, Thomas W and Psaty, Bruce M and Tracy, Russell P and Brody, Jennifer and Chen, Ida and Viikari, Jorma and K{\"a}h{\"o}nen, Mika and Pramstaller, Peter P and Evans, David M and St Pourcain, Beate and Sattar, Naveed and Wood, Andrew R and Bandinelli, Stefania and Carlson, Olga D and Egan, Josephine M and B{\"o}hringer, Stefan and van Heemst, Diana and Kedenko, Lyudmyla and Kristiansson, Kati and Nuotio, Marja-Liisa and Loo, Britt-Marie and Harris, Tamara and Garcia, Melissa and Kanaya, Alka and Haun, Margot and Klopp, Norman and Wichmann, H-Erich and Deloukas, Panos and Katsareli, Efi and Couper, David J and Duncan, Bruce B and Kloppenburg, Margreet and Adair, Linda S and Borja, Judith B and Wilson, James G and Musani, Solomon and Guo, Xiuqing and Johnson, Toby and Semple, Robert and Teslovich, Tanya M and Allison, Matthew A and Redline, Susan and Buxbaum, Sarah G and Mohlke, Karen L and Meulenbelt, Ingrid and Ballantyne, Christie M and Dedoussis, George V and Hu, Frank B and Liu, Yongmei and Paulweber, Bernhard and Spector, Timothy D and Slagboom, P Eline and Ferrucci, Luigi and Jula, Antti and Perola, Markus and Raitakari, Olli and Florez, Jose C and Salomaa, Veikko and Eriksson, Johan G and Frayling, Timothy M and Hicks, Andrew A and Lehtim{\"a}ki, Terho and Smith, George Davey and Siscovick, David S and Kronenberg, Florian and van Duijn, Cornelia and Loos, Ruth J F and Waterworth, Dawn M and Meigs, James B and Dupuis, Jos{\'e}e and Richards, J Brent and Voight, Benjamin F and Scott, Laura J and Steinthorsdottir, Valgerdur and Dina, Christian and Welch, Ryan P and Zeggini, Eleftheria and Huth, Cornelia and Aulchenko, Yurii S and Thorleifsson, Gudmar and McCulloch, Laura J and Ferreira, Teresa and Grallert, Harald and Amin, Najaf and Wu, Guanming and Willer, Cristen J and Raychaudhuri, Soumya and McCarroll, Steve A and Hofmann, Oliver M and Segr{\`e}, Ayellet V and van Hoek, Mandy and Navarro, Pau and Ardlie, Kristin and Balkau, Beverley and Benediktsson, Rafn and Bennett, Amanda J and Blagieva, Roza and Boerwinkle, Eric and Bonnycastle, Lori L and Bostr{\"o}m, Kristina Bengtsson and Bravenboer, Bert and Bumpstead, Suzannah and Burtt, Noel P and Charpentier, Guillaume and Chines, Peter S and Cornelis, Marilyn and Crawford, Gabe and Doney, Alex S F and Elliott, Katherine S and Elliott, Amanda L and Erdos, Michael R and Fox, Caroline S and Franklin, Christopher S and Ganser, Martha and Gieger, Christian and Grarup, Niels and Green, Todd and Griffin, Simon and Groves, Christopher J and Guiducci, Candace and Hadjadj, Samy and Hassanali, Neelam and Herder, Christian and Isomaa, Bo and Jackson, Anne U and Johnson, Paul R V and J{\o}rgensen, Torben and Kao, Wen H L and Kong, Augustine and Kraft, Peter and Kuusisto, Johanna and Lauritzen, Torsten and Li, Man and Lieverse, Aloysius and Lindgren, Cecilia M and Lyssenko, Valeriya and Marre, Michel and Meitinger, Thomas and Midthjell, Kristian and Morken, Mario A and Narisu, Narisu and Nilsson, Peter and Owen, Katharine R and Payne, Felicity and Petersen, Ann-Kristin and Platou, Carl and Proen{\c c}a, Christine and Prokopenko, Inga and Rathmann, Wolfgang and Rayner, N William and Robertson, Neil R and Rocheleau, Ghislain and Roden, Michael and Sampson, Michael J and Saxena, Richa and Shields, Beverley M and Shrader, Peter and Sigurdsson, Gunnar and Spars{\o}, Thomas and Strassburger, Klaus and Stringham, Heather M and Sun, Qi and Swift, Amy J and Thorand, Barbara and Tichet, Jean and Tuomi, Tiinamaija and van Dam, Rob M and van Haeften, Timon W and van Herpt, Thijs and van Vliet-Ostaptchouk, Jana V and Walters, G Bragi and Weedon, Michael N and Wijmenga, Cisca and Witteman, Jacqueline and Bergman, Richard N and Cauchi, Stephane and Collins, Francis S and Gloyn, Anna L and Gyllensten, Ulf and Hansen, Torben and Hide, Winston A and Hitman, Graham A and Hofman, Albert and Hunter, David J and Hveem, Kristian and Laakso, Markku and Morris, Andrew D and Palmer, Colin N A and Rudan, Igor and Sijbrands, Eric and Stein, Lincoln D and Tuomilehto, Jaakko and Uitterlinden, Andre and Walker, Mark and Watanabe, Richard M and Abecasis, Goncalo R and Boehm, Bernhard O and Campbell, Harry and Daly, Mark J and Hattersley, Andrew T and Pedersen, Oluf and Barroso, In{\^e}s and Groop, Leif and Sladek, Rob and Thorsteinsdottir, Unnur and Wilson, James F and Illig, Thomas and Froguel, Philippe and van Duijn, Cornelia M and Stefansson, Kari and Altshuler, David and Boehnke, Michael and McCarthy, Mark I and Soranzo, Nicole and Wheeler, Eleanor and Glazer, Nicole L and Bouatia-Naji, Nabila and M{\"a}gi, Reedik and Randall, Joshua and Elliott, Paul and Rybin, Denis and Dehghan, Abbas and Hottenga, Jouke Jan and Song, Kijoung and Goel, Anuj and Lajunen, Taina and Doney, Alex and Cavalcanti-Proen{\c c}a, Christine and Kumari, Meena and Timpson, Nicholas J and Zabena, Carina and Ingelsson, Erik and An, Ping and O{\textquoteright}Connell, Jeffrey and Luan, Jian{\textquoteright}an and Elliott, Amanda and McCarroll, Steven A and Roccasecca, Rosa Maria and Pattou, Fran{\c c}ois and Sethupathy, Praveen and Ariyurek, Yavuz and Barter, Philip and Beilby, John P and Ben-Shlomo, Yoav and Bergmann, Sven and Bochud, Murielle and Bonnefond, Am{\'e}lie and Borch-Johnsen, Knut and B{\"o}ttcher, Yvonne and Brunner, Eric and Bumpstead, Suzannah J and Chen, Yii-Der Ida and Chines, Peter and Clarke, Robert and Coin, Lachlan J M and Cooper, Matthew N and Crisponi, Laura and Day, Ian N M and de Geus, Eco J C and Delplanque, Jerome and Fedson, Annette C and Fischer-Rosinsky, Antje and Forouhi, Nita G and Franzosi, Maria Grazia and Galan, Pilar and Goodarzi, Mark O and Graessler, J{\"u}rgen and Grundy, Scott and Gwilliam, Rhian and Hallmans, G{\"o}ran and Hammond, Naomi and Han, Xijing and Hartikainen, Anna-Liisa and Hayward, Caroline and Heath, Simon C and Hercberg, Serge and Hillman, David R and Hingorani, Aroon D and Hui, Jennie and Hung, Joe and Kaakinen, Marika and Kaprio, Jaakko and Kesaniemi, Y Antero and Kivimaki, Mika and Knight, Beatrice and Koskinen, Seppo and Kovacs, Peter and Kyvik, Kirsten Ohm and Lathrop, G Mark and Lawlor, Debbie A and Le Bacquer, Olivier and Lecoeur, C{\'e}cile and Li, Yun and Mahley, Robert and Mangino, Massimo and Mart{\'\i}nez-Larrad, Mar{\'\i}a Teresa and McAteer, Jarred B and McPherson, Ruth and Meisinger, Christa and Melzer, David and Meyre, David and Mitchell, Braxton D and Mukherjee, Sutapa and Naitza, Silvia and Neville, Matthew J and Orr{\`u}, Marco and Pakyz, Ruth and Paolisso, Giuseppe and Pattaro, Cristian and Pearson, Daniel and Peden, John F and Pedersen, Nancy L and Pfeiffer, Andreas F H and Pichler, Irene and Polasek, Ozren and Posthuma, Danielle and Potter, Simon C and Pouta, Anneli and Province, Michael A and Rayner, Nigel W and Rice, Kenneth and Ripatti, Samuli and Rivadeneira, Fernando and Rolandsson, Olov and Sandbaek, Annelli and Sandhu, Manjinder and Sanna, Serena and Sayer, Avan Aihie and Scheet, Paul and Seedorf, Udo and Sharp, Stephen J and Shields, Beverley and Sigur{\dh}sson, Gunnar and Sijbrands, Eric J G and Silveira, Angela and Simpson, Laila and Singleton, Andrew and Smith, Nicholas L and Sovio, Ulla and Swift, Amy and Syddall, Holly and Syv{\"a}nen, Ann-Christine and T{\"o}njes, Anke and Uitterlinden, Andr{\'e} G and van Dijk, Ko Willems and Varma, Dhiraj and Visvikis-Siest, Sophie and Vitart, Veronique and Vogelzangs, Nicole and Waeber, G{\'e}rard and Wagner, Peter J and Walley, Andrew and Ward, Kim L and Watkins, Hugh and Wild, Sarah H and Willemsen, Gonneke and Witteman, Jaqueline C M and Yarnell, John W G and Zelenika, Diana and Zethelius, Bj{\"o}rn and Zhai, Guangju and Zhao, Jing Hua and Zillikens, M Carola and Borecki, Ingrid B and Meneton, Pierre and Magnusson, Patrik K E and Nathan, David M and Williams, Gordon H and Silander, Kaisa and Bornstein, Stefan R and Schwarz, Peter and Spranger, Joachim and Karpe, Fredrik and Shuldiner, Alan R and Cooper, Cyrus and Serrano-R{\'\i}os, Manuel and Lind, Lars and Palmer, Lyle J and Hu, Frank B and Franks, Paul W and Ebrahim, Shah and Marmot, Michael and Kao, W H Linda and Pramstaller, Peter Paul and Wright, Alan F and Stumvoll, Michael and Hamsten, Anders and Buchanan, Thomas A and Valle, Timo T and Rotter, Jerome I and Penninx, Brenda W J H and Boomsma, Dorret I and Cao, Antonio and Scuteri, Angelo and Schlessinger, David and Uda, Manuela and Ruokonen, Aimo and Jarvelin, Marjo-Riitta and Peltonen, Leena and Mooser, Vincent and Sladek, Robert and Musunuru, Kiran and Smith, Albert V and Edmondson, Andrew C and Stylianou, Ioannis M and Koseki, Masahiro and Pirruccello, James P and Chasman, Daniel I and Johansen, Christopher T and Fouchier, Sigrid W and Peloso, Gina M and Barbalic, Maja and Ricketts, Sally L and Bis, Joshua C and Feitosa, Mary F and Orho-Melander, Marju and Melander, Olle and Li, Xiaohui and Li, Mingyao and Cho, Yoon Shin and Go, Min Jin and Kim, Young Jin and Lee, Jong-Young and Park, Taesung and Kim, Kyunga and Sim, Xueling and Ong, Rick Twee-Hee and Croteau-Chonka, Damien C and Lange, Leslie A and Smith, Joshua D and Ziegler, Andreas and Zhang, Weihua and Zee, Robert Y L and Whitfield, John B and Thompson, John R and Surakka, Ida and Spector, Tim D and Smit, Johannes H and Sinisalo, Juha and Scott, James and Saharinen, Juha and Sabatti, Chiara and Rose, Lynda M and Roberts, Robert and Rieder, Mark and Parker, Alex N and Par{\'e}, Guillaume and O{\textquoteright}Donnell, Christopher J and Nieminen, Markku S and Nickerson, Deborah A and Montgomery, Grant W and McArdle, Wendy and Masson, David and Martin, Nicholas G and Marroni, Fabio and Lucas, Gavin and Luben, Robert and Lokki, Marja-Liisa and Lettre, Guillaume and Launer, Lenore J and Lakatta, Edward G and Laaksonen, Reijo and Kyvik, Kirsten O and K{\"o}nig, Inke R and Khaw, Kay-Tee and Kaplan, Lee M and Johansson, Asa and Janssens, A Cecile J W and Igl, Wilmar and Hovingh, G Kees and Hengstenberg, Christian and Havulinna, Aki S and Hastie, Nicholas D and Harris, Tamara B and Haritunians, Talin and Hall, Alistair S and Groop, Leif C and Gonzalez, Elena and Freimer, Nelson B and Erdmann, Jeanette and Ejebe, Kenechi G and D{\"o}ring, Angela and Dominiczak, Anna F and Demissie, Serkalem and Deloukas, Panagiotis and de Faire, Ulf and Crawford, Gabriel and Chen, Yii-der I and Caulfield, Mark J and Boekholdt, S Matthijs and Assimes, Themistocles L and Quertermous, Thomas and Seielstad, Mark and Wong, Tien Y and Tai, E-Shyong and Feranil, Alan B and Kuzawa, Christopher W and Taylor, Herman A and Gabriel, Stacey B and Holm, Hilma and Gudnason, Vilmundur and Krauss, Ronald M and Ordovas, Jose M and Munroe, Patricia B and Kooner, Jaspal S and Tall, Alan R and Hegele, Robert A and Kastelein, John J P and Schadt, Eric E and Strachan, David P and Reilly, Muredach P and Samani, Nilesh J and Schunkert, Heribert and Cupples, L Adrienne and Sandhu, Manjinder S and Ridker, Paul M and Rader, Daniel J and Kathiresan, Sekar} } @article {1401, title = {Persistence and remission of musculoskeletal pain in community-dwelling older adults: results from the cardiovascular health study.}, journal = {J Am Geriatr Soc}, volume = {60}, year = {2012}, month = {2012 Aug}, pages = {1393-400}, abstract = {

OBJECTIVES: To characterize longitudinal patterns of musculoskeletal pain in a community sample of older adults over a 6-year period and to identify factors associated with persistence of pain.

DESIGN: Secondary analysis of the Cardiovascular Health Study.

SETTING: Community-based cohort drawn from four U.S. counties.

PARTICIPANTS: Five thousand ninety-three men and women aged 65 and older.

MEASUREMENTS: Over a 6-year period, pain was assessed each year using a single question about the presence of pain in any bones or joints during the last year. If affirmative, participants were queried about pain in seven locations (hands, shoulders, neck, back, hips, knees, feet). Participants were categorized according to the percentage of time that pain was present and according to the intermittent or chronic pattern of pain. Factors associated with persistent pain during five remaining years of the study were identified.

RESULTS: Over 6 years, 32\% of participants reported pain for three or more consecutive years, and 32\% reported pain intermittently. Of those who reported pain the first year, 54\% were pain free at least once during the follow-up period. Most of the pain at specific body locations was intermittent. Factors associated with remission of pain over 5 years included older age, male sex, better self-rated health, not being obese, taking fewer medications, and having fewer depressive symptoms. Approximately half of those with pain reported fewer pain locations the following year.

CONCLUSION: Musculoskeletal pain in older adults, despite high prevalence, is often intermittent. The findings refute the notion that pain is an inevitable, unremitting, or progressive consequence of aging.

}, keywords = {Aged, Aged, 80 and over, Cardiovascular Diseases, Female, Humans, Male, Musculoskeletal Pain, Remission Induction, Residence Characteristics}, issn = {1532-5415}, doi = {10.1111/j.1532-5415.2012.04082.x}, author = {Thielke, Stephen M and Whitson, Heather and Diehr, Paula and O{\textquoteright}Hare, Ann and Kearney, Patricia M and Chaudhry, Sarwat I and Zakai, Neil A and Kim, Dae and Sekaran, Nishant and Sale, Joanna E M and Arnold, Alice M and Chaves, Paulo and Newman, Anne} } @article {6081, title = {Adhesion molecules, endothelin-1 and lung function in seven population-based cohorts.}, journal = {Biomarkers}, volume = {18}, year = {2013}, month = {2013 May}, pages = {196-203}, abstract = {

CONTEXT: Endothelial function is abnormal in chronic obstructive pulmonary disease (COPD); whether endothelial dysfunction causes COPD is unknown.

OBJECTIVE: Test associations of endothelial biomarkers with FEV1 using instrumental variables.

METHODS: Among 26 907 participants with spirometry, ICAM-1, P-selectin, E-selectin and endothelin-1 were measured in subsets.

RESULTS: ICAM-1 and P-selectin were inversely associated with FEV1 among European-Americans (-29 mL and -34 mL per standard deviation of log-transformed biomarker, p < 0.001), as was endothelin-1 among African-Americans (-22 mL, p = 0.008). Genetically-estimated ICAM-1 and P-selectin were not significantly associated with FEV1. The instrumental variable for endothelin-1 was non-informative.

CONCLUSION: Although ICAM-1, P-selectin and endothelin-1 were inversely associated with FEV1, associations for ICAM-1 and P-selectin do not appear causal.

}, keywords = {African Continental Ancestry Group, Biomarkers, Cohort Studies, E-Selectin, Endothelin-1, Endothelium, Vascular, European Continental Ancestry Group, Female, Gene Expression, Humans, Intercellular Adhesion Molecule-1, Lung, Male, Middle Aged, P-Selectin, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests, Spirometry}, issn = {1366-5804}, doi = {10.3109/1354750X.2012.762805}, author = {Oelsner, E C and Pottinger, T D and Burkart, K M and Allison, M and Buxbaum, S G and Hansel, N N and Kumar, R and Larkin, E K and Lange, L A and Loehr, L R and London, S J and O{\textquoteright}Connor, G T and Papanicolaou, G and Petrini, M F and Rabinowitz, D and Raghavan, S and Redline, S and Thyagarajan, B and Tracy, R P and Wilk, J B and White, W B and Rich, S S and Barr, R G} } @article {5857, title = {Association of genome-wide variation with highly sensitive cardiac troponin-T levels in European Americans and Blacks: a meta-analysis from atherosclerosis risk in communities and cardiovascular health studies.}, journal = {Circ Cardiovasc Genet}, volume = {6}, year = {2013}, month = {2013 Feb}, pages = {82-8}, abstract = {

BACKGROUND: High levels of cardiac troponin T, measured by a highly sensitive assay (hs-cTnT), are strongly associated with incident coronary heart disease and heart failure. To date, no large-scale genome-wide association study of hs-cTnT has been reported. We sought to identify novel genetic variants that are associated with hs-cTnT levels.

METHODS AND RESULTS: We performed a genome-wide association in 9491 European Americans and 2053 blacks free of coronary heart disease and heart failure from 2 prospective cohorts: the Atherosclerosis Risk in Communities Study and the Cardiovascular Health Study. Genome-wide association studies were conducted in each study and race stratum. Fixed-effect meta-analyses combined the results of linear regression from 2 cohorts within each race stratum and then across race strata to produce overall estimates and probability values. The meta-analysis identified a significant association at chromosome 8q13 (rs10091374; P=9.06{\texttimes}10(-9)) near the nuclear receptor coactivator 2 (NCOA2) gene. Overexpression of NCOA2 can be detected in myoblasts. An additional analysis using logistic regression and the clinically motivated 99th percentile cut point detected a significant association at 1q32 (rs12564445; P=4.73{\texttimes}10(-8)) in the gene TNNT2, which encodes the cardiac troponin T protein itself. The hs-cTnT-associated single-nucleotide polymorphisms were not associated with coronary heart disease in a large case-control study, but rs12564445 was significantly associated with incident heart failure in Atherosclerosis Risk in Communities Study European Americans (hazard ratio=1.16; P=0.004).

CONCLUSIONS: We identified 2 loci, near NCOA2 and in the TNNT2 gene, at which variation was significantly associated with hs-cTnT levels. Further use of the new assay should enable replication of these results.

}, keywords = {African Continental Ancestry Group, Atherosclerosis, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Nuclear Receptor Coactivator 2, Polymorphism, Single Nucleotide, Prospective Studies, Residence Characteristics, Risk Factors, Troponin T}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.112.963058}, author = {Yu, Bing and Barbalic, Maja and Brautbar, Ariel and Nambi, Vijay and Hoogeveen, Ron C and Tang, Weihong and Mosley, Thomas H and Rotter, Jerome I and deFilippi, Christopher R and O{\textquoteright}Donnell, Christopher J and Kathiresan, Sekar and Rice, Ken and Heckbert, Susan R and Ballantyne, Christie M and Psaty, Bruce M and Boerwinkle, Eric} } @article {6061, title = {Association of heat shock proteins with all-cause mortality.}, journal = {Age (Dordr)}, volume = {35}, year = {2013}, month = {2013 Aug}, pages = {1367-76}, abstract = {

Experimental mild heat shock is widely known as an intervention that results in extended longevity in various models along the evolutionary lineage. Heat shock proteins (HSPs) are highly upregulated immediately after a heat shock. The elevation in HSP levels was shown to inhibit stress-mediated cell death, and recent experiments indicate a highly versatile role for these proteins as inhibitors of programmed cell death. In this study, we examined common genetic variations in 31 genes encoding all members of the HSP70, small HSP, and heat shock factor (HSF) families for their association with all-cause mortality. Our discovery cohort was the Rotterdam study (RS1) containing 5,974 participants aged 55 years and older (3,174 deaths). We assessed 4,430 single nucleotide polymorphisms (SNPs) using the HumanHap550K Genotyping BeadChip from Illumina. After adjusting for multiple testing by permutation analysis, three SNPs showed evidence for association with all-cause mortality in RS1. These findings were followed in eight independent population-based cohorts, leading to a total of 25,007 participants (8,444 deaths). In the replication phase, only HSF2 (rs1416733) remained significantly associated with all-cause mortality. Rs1416733 is a known cis-eQTL for HSF2. Our findings suggest a role of HSF2 in all-cause mortality.

}, keywords = {Aged, 80 and over, Aging, Cause of Death, Forecasting, Genotype, Heat-Shock Proteins, Humans, Longevity, Promoter Regions, Genetic, Retrospective Studies, Transcription, Genetic, United States}, issn = {1574-4647}, doi = {10.1007/s11357-012-9417-7}, author = {Broer, L and Demerath, E W and Garcia, M E and Homuth, G and Kaplan, R C and Lunetta, K L and Tanaka, T and Tranah, G J and Walter, S and Arnold, A M and Atzmon, G and Harris, T B and Hoffmann, W and Karasik, D and Kiel, D P and Kocher, T and Launer, L J and Lohman, K K and Rotter, J I and Tiemeier, H and Uitterlinden, A G and Wallaschofski, H and Bandinelli, S and D{\"o}rr, M and Ferrucci, L and Franceschini, N and Gudnason, V and Hofman, A and Liu, Y and Murabito, J M and Newman, A B and Oostra, B A and Psaty, B M and Smith, A V and van Duijn, C M} } @article {6067, title = {Best practices and joint calling of the HumanExome BeadChip: the CHARGE Consortium.}, journal = {PLoS One}, volume = {8}, year = {2013}, month = {2013}, pages = {e68095}, abstract = {

Genotyping arrays are a cost effective approach when typing previously-identified genetic polymorphisms in large numbers of samples. One limitation of genotyping arrays with rare variants (e.g., minor allele frequency [MAF] <0.01) is the difficulty that automated clustering algorithms have to accurately detect and assign genotype calls. Combining intensity data from large numbers of samples may increase the ability to accurately call the genotypes of rare variants. Approximately 62,000 ethnically diverse samples from eleven Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium cohorts were genotyped with the Illumina HumanExome BeadChip across seven genotyping centers. The raw data files for the samples were assembled into a single project for joint calling. To assess the quality of the joint calling, concordance of genotypes in a subset of individuals having both exome chip and exome sequence data was analyzed. After exclusion of low performing SNPs on the exome chip and non-overlap of SNPs derived from sequence data, genotypes of 185,119 variants (11,356 were monomorphic) were compared in 530 individuals that had whole exome sequence data. A total of 98,113,070 pairs of genotypes were tested and 99.77\% were concordant, 0.14\% had missing data, and 0.09\% were discordant. We report that joint calling allows the ability to accurately genotype rare variation using array technology when large sample sizes are available and best practices are followed. The cluster file from this experiment is available at www.chargeconsortium.com/main/exomechip.

}, keywords = {Aging, Alleles, Cluster Analysis, Cohort Studies, Continental Population Groups, Exome, Female, Gene Frequency, Genomics, Genotype, Heart, Humans, Male, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Sample Size, Self Report, Sequence Analysis, DNA}, issn = {1932-6203}, doi = {10.1371/journal.pone.0068095}, author = {Grove, Megan L and Yu, Bing and Cochran, Barbara J and Haritunians, Talin and Bis, Joshua C and Taylor, Kent D and Hansen, Mark and Borecki, Ingrid B and Cupples, L Adrienne and Fornage, Myriam and Gudnason, Vilmundur and Harris, Tamara B and Kathiresan, Sekar and Kraaij, Robert and Launer, Lenore J and Levy, Daniel and Liu, Yongmei and Mosley, Thomas and Peloso, Gina M and Psaty, Bruce M and Rich, Stephen S and Rivadeneira, Fernando and Siscovick, David S and Smith, Albert V and Uitterlinden, Andre and van Duijn, Cornelia M and Wilson, James G and O{\textquoteright}Donnell, Christopher J and Rotter, Jerome I and Boerwinkle, Eric} } @article {6751, title = {Common carotid intima-media thickness does not add to Framingham risk score in individuals with diabetes mellitus: the USE-IMT initiative.}, journal = {Diabetologia}, volume = {56}, year = {2013}, month = {2013 Jul}, pages = {1494-502}, abstract = {

AIMS/HYPOTHESIS: The aim of this work was to investigate whether measurement of the mean common carotid intima-media thickness (CIMT) improves cardiovascular risk prediction in individuals with diabetes.

METHODS: We performed a subanalysis among 4,220 individuals with diabetes in a large ongoing individual participant data meta-analysis involving 56,194 subjects from 17 population-based cohorts worldwide. We first refitted the risk factors of the Framingham heart risk score on the individuals without previous cardiovascular disease (baseline model) and then expanded this model with the mean common CIMT (CIMT model). The absolute 10~year risk for developing a myocardial infarction or stroke was estimated from both models. In individuals with diabetes we compared discrimination and calibration of the two models. Reclassification of individuals with diabetes was based on allocation to another cardiovascular risk category when mean common CIMT was added.

RESULTS: During a median follow-up of 8.7~years, 684 first-time cardiovascular events occurred among the population with diabetes. The C statistic was 0.67 for the Framingham model and 0.68 for the CIMT model. The absolute 10~year risk for developing a myocardial infarction or stroke was 16\% in both models. There was no net reclassification improvement with the addition of mean common CIMT (1.7\%; 95\% CI -1.8, 3.8). There were no differences in the results between men and women.

CONCLUSIONS/INTERPRETATION: There is no improvement in risk prediction in individuals with diabetes when measurement of the mean common CIMT is added to the Framingham risk score. Therefore, this measurement is not recommended for improving individual cardiovascular risk stratification in individuals with diabetes.

}, keywords = {Cardiovascular Diseases, Carotid Intima-Media Thickness, Diabetes Mellitus, Humans, Myocardial Infarction, Risk Factors, Stroke}, issn = {1432-0428}, doi = {10.1007/s00125-013-2898-9}, author = {den Ruijter, H M and Peters, S A E and Groenewegen, K A and Anderson, T J and Britton, A R and Dekker, J M and Engstrom, G and Eijkemans, M J and Evans, G W and de Graaf, J and Grobbee, D E and Hedblad, B and Hofman, A and Holewijn, S and Ikeda, A and Kavousi, M and Kitagawa, K and Kitamura, A and Koffijberg, H and Ikram, M A and Lonn, E M and Lorenz, M W and Mathiesen, E B and Nijpels, G and Okazaki, S and O{\textquoteright}Leary, D H and Polak, J F and Price, J F and Robertson, C and Rembold, C M and Rosvall, M and Rundek, T and Salonen, J T and Sitzer, M and Stehouwer, C D A and Witteman, J C and Moons, K G and Bots, M L} } @article {6284, title = {Common genetic loci influencing plasma homocysteine concentrations and their effect on risk of coronary artery disease.}, journal = {Am J Clin Nutr}, volume = {98}, year = {2013}, month = {2013 Sep}, pages = {668-76}, abstract = {

BACKGROUND: The strong observational association between total homocysteine (tHcy) concentrations and risk of coronary artery disease (CAD) and the null associations in the homocysteine-lowering trials have prompted the need to identify genetic variants associated with homocysteine concentrations and risk of CAD.

OBJECTIVE: We tested whether common genetic polymorphisms associated with variation in tHcy are also associated with CAD.

DESIGN: We conducted a meta-analysis of genome-wide association studies (GWAS) on tHcy concentrations in 44,147 individuals of European descent. Polymorphisms associated with tHcy (P < 10($^{-}$$^{8}$) were tested for association with CAD in 31,400 cases and 92,927 controls.

RESULTS: Common variants at 13 loci, explaining 5.9\% of the variation in tHcy, were associated with tHcy concentrations, including 6 novel loci in or near MMACHC (2.1 {\texttimes} 10$^{-}$$^{9}$), SLC17A3 (1.0 {\texttimes} 10$^{-}$$^{8}$), GTPB10 (1.7 {\texttimes} 10$^{-}$$^{8}$), CUBN (7.5 {\texttimes} 10$^{-}${\textonesuperior}$^{0}$), HNF1A (1.2 {\texttimes} 10$^{-}${\textonesuperior}{\texttwosuperior})), and FUT2 (6.6 {\texttimes} 10$^{-}$$^{9}$), and variants previously reported at or near the MTHFR, MTR, CPS1, MUT, NOX4, DPEP1, and CBS genes. Individuals within the highest 10\% of the genotype risk score (GRS) had 3-μmol/L higher mean tHcy concentrations than did those within the lowest 10\% of the GRS (P = 1 {\texttimes} 10$^{-}${\textthreesuperior}$^{6}$). The GRS was not associated with risk of CAD (OR: 1.01; 95\% CI: 0.98, 1.04; P = 0.49).

CONCLUSIONS: We identified several novel loci that influence plasma tHcy concentrations. Overall, common genetic variants that influence plasma tHcy concentrations are not associated with risk of CAD in white populations, which further refutes the causal relevance of moderately elevated tHcy concentrations and tHcy-related pathways for CAD.

}, keywords = {Coronary Artery Disease, Genes, Genetic Loci, Genetic Predisposition to Disease, Genotype, Homocysteine, Humans, Polymorphism, Genetic, Risk Factors}, issn = {1938-3207}, doi = {10.3945/ajcn.112.044545}, author = {van Meurs, Joyce B J and Par{\'e}, Guillaume and Schwartz, Stephen M and Hazra, Aditi and Tanaka, Toshiko and Vermeulen, Sita H and Cotlarciuc, Ioana and Yuan, Xin and M{\"a}larstig, Anders and Bandinelli, Stefania and Bis, Joshua C and Blom, Henk and Brown, Morris J and Chen, Constance and Chen, Yii-Der and Clarke, Robert J and Dehghan, Abbas and Erdmann, Jeanette and Ferrucci, Luigi and Hamsten, Anders and Hofman, Albert and Hunter, David J and Goel, Anuj and Johnson, Andrew D and Kathiresan, Sekar and Kampman, Ellen and Kiel, Douglas P and Kiemeney, Lambertus A L M and Chambers, John C and Kraft, Peter and Lindemans, Jan and McKnight, Barbara and Nelson, Christopher P and O{\textquoteright}Donnell, Christopher J and Psaty, Bruce M and Ridker, Paul M and Rivadeneira, Fernando and Rose, Lynda M and Seedorf, Udo and Siscovick, David S and Schunkert, Heribert and Selhub, Jacob and Ueland, Per M and Vollenweider, Peter and Waeber, G{\'e}rard and Waterworth, Dawn M and Watkins, Hugh and Witteman, Jacqueline C M and den Heijer, Martin and Jacques, Paul and Uitterlinden, Andr{\'e} G and Kooner, Jaspal S and Rader, Dan J and Reilly, Muredach P and Mooser, Vincent and Chasman, Daniel I and Samani, Nilesh J and Ahmadi, Kourosh R} } @article {8014, title = {Common variants associated with plasma triglycerides and risk for coronary artery disease.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Nov}, pages = {1345-52}, abstract = {

Triglycerides are transported in plasma by specific triglyceride-rich lipoproteins; in epidemiological studies, increased triglyceride levels correlate with higher risk for coronary artery disease (CAD). However, it is unclear whether this association reflects causal processes. We used 185 common variants recently mapped for plasma lipids (P < 5 {\texttimes} 10(-8) for each) to examine the role of triglycerides in risk for CAD. First, we highlight loci associated with both low-density lipoprotein cholesterol (LDL-C) and triglyceride levels, and we show that the direction and magnitude of the associations with both traits are factors in determining CAD risk. Second, we consider loci with only a strong association with triglycerides and show that these loci are also associated with CAD. Finally, in a model accounting for effects on LDL-C and/or high-density lipoprotein cholesterol (HDL-C) levels, the strength of a polymorphism{\textquoteright}s effect on triglyceride levels is correlated with the magnitude of its effect on CAD risk. These results suggest that triglyceride-rich lipoproteins causally influence risk for CAD.

}, keywords = {Biological Transport, Cholesterol, HDL, Cholesterol, LDL, Coronary Artery Disease, Humans, Polymorphism, Single Nucleotide, Risk Factors, Triglycerides}, issn = {1546-1718}, doi = {10.1038/ng.2795}, author = {Do, Ron and Willer, Cristen J and Schmidt, Ellen M and Sengupta, Sebanti and Gao, Chi and Peloso, Gina M and Gustafsson, Stefan and Kanoni, Stavroula and Ganna, Andrea and Chen, Jin and Buchkovich, Martin L and Mora, Samia and Beckmann, Jacques S and Bragg-Gresham, Jennifer L and Chang, Hsing-Yi and Demirkan, Ayse and Den Hertog, Heleen M and Donnelly, Louise A and Ehret, Georg B and Esko, T{\~o}nu and Feitosa, Mary F and Ferreira, Teresa and Fischer, Krista and Fontanillas, Pierre and Fraser, Ross M and Freitag, Daniel F and Gurdasani, Deepti and Heikkil{\"a}, Kauko and Hypp{\"o}nen, Elina and Isaacs, Aaron and Jackson, Anne U and Johansson, Asa and Johnson, Toby and Kaakinen, Marika and Kettunen, Johannes and Kleber, Marcus E and Li, Xiaohui and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Magnusson, Patrik K E and Mangino, Massimo and Mihailov, Evelin and Montasser, May E and M{\"u}ller-Nurasyid, Martina and Nolte, Ilja M and O{\textquoteright}Connell, Jeffrey R and Palmer, Cameron D and Perola, Markus and Petersen, Ann-Kristin and Sanna, Serena and Saxena, Richa and Service, Susan K and Shah, Sonia and Shungin, Dmitry and Sidore, Carlo and Song, Ci and Strawbridge, Rona J and Surakka, Ida and Tanaka, Toshiko and Teslovich, Tanya M and Thorleifsson, Gudmar and van den Herik, Evita G and Voight, Benjamin F and Volcik, Kelly A and Waite, Lindsay L and Wong, Andrew and Wu, Ying and Zhang, Weihua and Absher, Devin and Asiki, Gershim and Barroso, In{\^e}s and Been, Latonya F and Bolton, Jennifer L and Bonnycastle, Lori L and Brambilla, Paolo and Burnett, Mary S and Cesana, Giancarlo and Dimitriou, Maria and Doney, Alex S F and D{\"o}ring, Angela and Elliott, Paul and Epstein, Stephen E and Eyjolfsson, Gudmundur Ingi and Gigante, Bruna and Goodarzi, Mark O and Grallert, Harald and Gravito, Martha L and Groves, Christopher J and Hallmans, G{\"o}ran and Hartikainen, Anna-Liisa and Hayward, Caroline and Hernandez, Dena and Hicks, Andrew A and Holm, Hilma and Hung, Yi-Jen and Illig, Thomas and Jones, Michelle R and Kaleebu, Pontiano and Kastelein, John J P and Khaw, Kay-Tee and Kim, Eric and Klopp, Norman and Komulainen, Pirjo and Kumari, Meena and Langenberg, Claudia and Lehtim{\"a}ki, Terho and Lin, Shih-Yi and Lindstr{\"o}m, Jaana and Loos, Ruth J F and Mach, Fran{\c c}ois and McArdle, Wendy L and Meisinger, Christa and Mitchell, Braxton D and M{\"u}ller, Gabrielle and Nagaraja, Ramaiah and Narisu, Narisu and Nieminen, Tuomo V M and Nsubuga, Rebecca N and Olafsson, Isleifur and Ong, Ken K and Palotie, Aarno and Papamarkou, Theodore and Pomilla, Cristina and Pouta, Anneli and Rader, Daniel J and Reilly, Muredach P and Ridker, Paul M and Rivadeneira, Fernando and Rudan, Igor and Ruokonen, Aimo and Samani, Nilesh and Scharnagl, Hubert and Seeley, Janet and Silander, Kaisa and Stan{\v c}{\'a}kov{\'a}, Alena and Stirrups, Kathleen and Swift, Amy J and Tiret, Laurence and Uitterlinden, Andr{\'e} G and van Pelt, L Joost and Vedantam, Sailaja and Wainwright, Nicholas and Wijmenga, Cisca and Wild, Sarah H and Willemsen, Gonneke and Wilsgaard, Tom and Wilson, James F and Young, Elizabeth H and Zhao, Jing Hua and Adair, Linda S and Arveiler, Dominique and Assimes, Themistocles L and Bandinelli, Stefania and Bennett, Franklyn and Bochud, Murielle and Boehm, Bernhard O and Boomsma, Dorret I and Borecki, Ingrid B and Bornstein, Stefan R and Bovet, Pascal and Burnier, Michel and Campbell, Harry and Chakravarti, Aravinda and Chambers, John C and Chen, Yii-Der Ida and Collins, Francis S and Cooper, Richard S and Danesh, John and Dedoussis, George and de Faire, Ulf and Feranil, Alan B and Ferrieres, Jean and Ferrucci, Luigi and Freimer, Nelson B and Gieger, Christian and Groop, Leif C and Gudnason, Vilmundur and Gyllensten, Ulf and Hamsten, Anders and Harris, Tamara B and Hingorani, Aroon and Hirschhorn, Joel N and Hofman, Albert and Hovingh, G Kees and Hsiung, Chao Agnes and Humphries, Steve E and Hunt, Steven C and Hveem, Kristian and Iribarren, Carlos and Jarvelin, Marjo-Riitta and Jula, Antti and K{\"a}h{\"o}nen, Mika and Kaprio, Jaakko and Kes{\"a}niemi, Antero and Kivimaki, Mika and Kooner, Jaspal S and Koudstaal, Peter J and Krauss, Ronald M and Kuh, Diana and Kuusisto, Johanna and Kyvik, Kirsten O and Laakso, Markku and Lakka, Timo A and Lind, Lars and Lindgren, Cecilia M and Martin, Nicholas G and M{\"a}rz, Winfried and McCarthy, Mark I and McKenzie, Colin A and Meneton, Pierre and Metspalu, Andres and Moilanen, Leena and Morris, Andrew D and Munroe, Patricia B and Nj{\o}lstad, Inger and Pedersen, Nancy L and Power, Chris and Pramstaller, Peter P and Price, Jackie F and Psaty, Bruce M and Quertermous, Thomas and Rauramaa, Rainer and Saleheen, Danish and Salomaa, Veikko and Sanghera, Dharambir K and Saramies, Jouko and Schwarz, Peter E H and Sheu, Wayne H-H and Shuldiner, Alan R and Siegbahn, Agneta and Spector, Tim D and Stefansson, Kari and Strachan, David P and Tayo, Bamidele O and Tremoli, Elena and Tuomilehto, Jaakko and Uusitupa, Matti and van Duijn, Cornelia M and Vollenweider, Peter and Wallentin, Lars and Wareham, Nicholas J and Whitfield, John B and Wolffenbuttel, Bruce H R and Altshuler, David and Ordovas, Jose M and Boerwinkle, Eric and Palmer, Colin N A and Thorsteinsdottir, Unnur and Chasman, Daniel I and Rotter, Jerome I and Franks, Paul W and Ripatti, Samuli and Cupples, L Adrienne and Sandhu, Manjinder S and Rich, Stephen S and Boehnke, Michael and Deloukas, Panos and Mohlke, Karen L and Ingelsson, Erik and Abecasis, Goncalo R and Daly, Mark J and Neale, Benjamin M and Kathiresan, Sekar} } @article {6288, title = {Common variants in Mendelian kidney disease genes and their association with renal function.}, journal = {J Am Soc Nephrol}, volume = {24}, year = {2013}, month = {2013 Dec}, pages = {2105-17}, abstract = {

Many common genetic variants identified by genome-wide association studies for complex traits map to genes previously linked to rare inherited Mendelian disorders. A systematic analysis of common single-nucleotide polymorphisms (SNPs) in genes responsible for Mendelian diseases with kidney phenotypes has not been performed. We thus developed a comprehensive database of genes for Mendelian kidney conditions and evaluated the association between common genetic variants within these genes and kidney function in the general population. Using the Online Mendelian Inheritance in Man database, we identified 731 unique disease entries related to specific renal search terms and confirmed a kidney phenotype in 218 of these entries, corresponding to mutations in 258 genes. We interrogated common SNPs (minor allele frequency >5\%) within these genes for association with the estimated GFR in 74,354 European-ancestry participants from the CKDGen Consortium. However, the top four candidate SNPs (rs6433115 at LRP2, rs1050700 at TSC1, rs249942 at PALB2, and rs9827843 at ROBO2) did not achieve significance in a stage 2 meta-analysis performed in 56,246 additional independent individuals, indicating that these common SNPs are not associated with estimated GFR. The effect of less common or rare variants in these genes on kidney function in the general population and disease-specific cohorts requires further research.

}, keywords = {Databases, Genetic, European Continental Ancestry Group, Gene Frequency, Genetic Variation, Genome-Wide Association Study, Humans, Kidney, Mendelian Randomization Analysis, Phenotype, Polymorphism, Single Nucleotide, Renal Insufficiency, Chronic}, issn = {1533-3450}, doi = {10.1681/ASN.2012100983}, author = {Parsa, Afshin and Fuchsberger, Christian and K{\"o}ttgen, Anna and O{\textquoteright}Seaghdha, Conall M and Pattaro, Cristian and de Andrade, Mariza and Chasman, Daniel I and Teumer, Alexander and Endlich, Karlhans and Olden, Matthias and Chen, Ming-Huei and Tin, Adrienne and Kim, Young J and Taliun, Daniel and Li, Man and Feitosa, Mary and Gorski, Mathias and Yang, Qiong and Hundertmark, Claudia and Foster, Meredith C and Glazer, Nicole and Isaacs, Aaron and Rao, Madhumathi and Smith, Albert V and O{\textquoteright}Connell, Jeffrey R and Struchalin, Maksim and Tanaka, Toshiko and Li, Guo and Hwang, Shih-Jen and Atkinson, Elizabeth J and Lohman, Kurt and Cornelis, Marilyn C and Johansson, Asa and T{\"o}njes, Anke and Dehghan, Abbas and Couraki, Vincent and Holliday, Elizabeth G and Sorice, Rossella and Kutalik, Zolt{\'a}n and Lehtim{\"a}ki, Terho and Esko, T{\~o}nu and Deshmukh, Harshal and Ulivi, Sheila and Chu, Audrey Y and Murgia, Federico and Trompet, Stella and Imboden, Medea and Kollerits, Barbara and Pistis, Giorgio and Harris, Tamara B and Launer, Lenore J and Aspelund, Thor and Eiriksdottir, Gudny and Mitchell, Braxton D and Boerwinkle, Eric and Schmidt, Helena and Hofer, Edith and Hu, Frank and Demirkan, Ayse and Oostra, Ben A and Turner, Stephen T and Ding, Jingzhong and Andrews, Jeanette S and Freedman, Barry I and Giulianini, Franco and Koenig, Wolfgang and Illig, Thomas and D{\"o}ring, Angela and Wichmann, H-Erich and Zgaga, Lina and Zemunik, Tatijana and Boban, Mladen and Minelli, Cosetta and Wheeler, Heather E and Igl, Wilmar and Zaboli, Ghazal and Wild, Sarah H and Wright, Alan F and Campbell, Harry and Ellinghaus, David and N{\"o}thlings, Ute and Jacobs, Gunnar and Biffar, Reiner and Ernst, Florian and Homuth, Georg and Kroemer, Heyo K and Nauck, Matthias and Stracke, Sylvia and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Kovacs, Peter and Stumvoll, Michael and M{\"a}gi, Reedik and Hofman, Albert and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Aulchenko, Yurii S and Polasek, Ozren and Hastie, Nick and Vitart, Veronique and Helmer, Catherine and Wang, Jie Jin and Stengel, B{\'e}n{\'e}dicte and Ruggiero, Daniela and Bergmann, Sven and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Nikopensius, Tiit and Province, Michael and Colhoun, Helen and Doney, Alex and Robino, Antonietta and Kr{\"a}mer, Bernhard K and Portas, Laura and Ford, Ian and Buckley, Brendan M and Adam, Martin and Thun, Gian-Andri and Paulweber, Bernhard and Haun, Margot and Sala, Cinzia and Mitchell, Paul and Ciullo, Marina and Vollenweider, Peter and Raitakari, Olli and Metspalu, Andres and Palmer, Colin and Gasparini, Paolo and Pirastu, Mario and Jukema, J Wouter and Probst-Hensch, Nicole M and Kronenberg, Florian and Toniolo, Daniela and Gudnason, Vilmundur and Shuldiner, Alan R and Coresh, Josef and Schmidt, Reinhold and Ferrucci, Luigi and van Duijn, Cornelia M and Borecki, Ingrid and Kardia, Sharon L R and Liu, Yongmei and Curhan, Gary C and Rudan, Igor and Gyllensten, Ulf and Wilson, James F and Franke, Andre and Pramstaller, Peter P and Rettig, Rainer and Prokopenko, Inga and Witteman, Jacqueline and Hayward, Caroline and Ridker, Paul M and Bochud, Murielle and Heid, Iris M and Siscovick, David S and Fox, Caroline S and Kao, W Linda and B{\"o}ger, Carsten A} } @article {6154, title = {Discovery and refinement of loci associated with lipid levels.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Nov}, pages = {1274-1283}, abstract = {

Levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and total cholesterol are heritable, modifiable risk factors for coronary artery disease. To identify new loci and refine known loci influencing these lipids, we examined 188,577 individuals using genome-wide and custom genotyping arrays. We identify and annotate 157 loci associated with lipid levels at P < 5 {\texttimes} 10(-8), including 62 loci not previously associated with lipid levels in humans. Using dense genotyping in individuals of European, East Asian, South Asian and African ancestry, we narrow association signals in 12 loci. We find that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index. Our results demonstrate the value of using genetic data from individuals of diverse ancestry and provide insights into the biological mechanisms regulating blood lipids to guide future genetic, biological and therapeutic research.

}, keywords = {African Continental Ancestry Group, Asian Continental Ancestry Group, Cholesterol, HDL, Cholesterol, LDL, Coronary Artery Disease, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Lipids, Triglycerides}, issn = {1546-1718}, doi = {10.1038/ng.2797}, author = {Willer, Cristen J and Schmidt, Ellen M and Sengupta, Sebanti and Peloso, Gina M and Gustafsson, Stefan and Kanoni, Stavroula and Ganna, Andrea and Chen, Jin and Buchkovich, Martin L and Mora, Samia and Beckmann, Jacques S and Bragg-Gresham, Jennifer L and Chang, Hsing-Yi and Demirkan, Ayse and Den Hertog, Heleen M and Do, Ron and Donnelly, Louise A and Ehret, Georg B and Esko, T{\~o}nu and Feitosa, Mary F and Ferreira, Teresa and Fischer, Krista and Fontanillas, Pierre and Fraser, Ross M and Freitag, Daniel F and Gurdasani, Deepti and Heikkil{\"a}, Kauko and Hypp{\"o}nen, Elina and Isaacs, Aaron and Jackson, Anne U and Johansson, Asa and Johnson, Toby and Kaakinen, Marika and Kettunen, Johannes and Kleber, Marcus E and Li, Xiaohui and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Magnusson, Patrik K E and Mangino, Massimo and Mihailov, Evelin and Montasser, May E and M{\"u}ller-Nurasyid, Martina and Nolte, Ilja M and O{\textquoteright}Connell, Jeffrey R and Palmer, Cameron D and Perola, Markus and Petersen, Ann-Kristin and Sanna, Serena and Saxena, Richa and Service, Susan K and Shah, Sonia and Shungin, Dmitry and Sidore, Carlo and Song, Ci and Strawbridge, Rona J and Surakka, Ida and Tanaka, Toshiko and Teslovich, Tanya M and Thorleifsson, Gudmar and van den Herik, Evita G and Voight, Benjamin F and Volcik, Kelly A and Waite, Lindsay L and Wong, Andrew and Wu, Ying and Zhang, Weihua and Absher, Devin and Asiki, Gershim and Barroso, In{\^e}s and Been, Latonya F and Bolton, Jennifer L and Bonnycastle, Lori L and Brambilla, Paolo and Burnett, Mary S and Cesana, Giancarlo and Dimitriou, Maria and Doney, Alex S F and D{\"o}ring, Angela and Elliott, Paul and Epstein, Stephen E and Ingi Eyjolfsson, Gudmundur and Gigante, Bruna and Goodarzi, Mark O and Grallert, Harald and Gravito, Martha L and Groves, Christopher J and Hallmans, G{\"o}ran and Hartikainen, Anna-Liisa and Hayward, Caroline and Hernandez, Dena and Hicks, Andrew A and Holm, Hilma and Hung, Yi-Jen and Illig, Thomas and Jones, Michelle R and Kaleebu, Pontiano and Kastelein, John J P and Khaw, Kay-Tee and Kim, Eric and Klopp, Norman and Komulainen, Pirjo and Kumari, Meena and Langenberg, Claudia and Lehtim{\"a}ki, Terho and Lin, Shih-Yi and Lindstr{\"o}m, Jaana and Loos, Ruth J F and Mach, Fran{\c c}ois and McArdle, Wendy L and Meisinger, Christa and Mitchell, Braxton D and M{\"u}ller, Gabrielle and Nagaraja, Ramaiah and Narisu, Narisu and Nieminen, Tuomo V M and Nsubuga, Rebecca N and Olafsson, Isleifur and Ong, Ken K and Palotie, Aarno and Papamarkou, Theodore and Pomilla, Cristina and Pouta, Anneli and Rader, Daniel J and Reilly, Muredach P and Ridker, Paul M and Rivadeneira, Fernando and Rudan, Igor and Ruokonen, Aimo and Samani, Nilesh and Scharnagl, Hubert and Seeley, Janet and Silander, Kaisa and Stan{\v c}{\'a}kov{\'a}, Alena and Stirrups, Kathleen and Swift, Amy J and Tiret, Laurence and Uitterlinden, Andr{\'e} G and van Pelt, L Joost and Vedantam, Sailaja and Wainwright, Nicholas and Wijmenga, Cisca and Wild, Sarah H and Willemsen, Gonneke and Wilsgaard, Tom and Wilson, James F and Young, Elizabeth H and Zhao, Jing Hua and Adair, Linda S and Arveiler, Dominique and Assimes, Themistocles L and Bandinelli, Stefania and Bennett, Franklyn and Bochud, Murielle and Boehm, Bernhard O and Boomsma, Dorret I and Borecki, Ingrid B and Bornstein, Stefan R and Bovet, Pascal and Burnier, Michel and Campbell, Harry and Chakravarti, Aravinda and Chambers, John C and Chen, Yii-Der Ida and Collins, Francis S and Cooper, Richard S and Danesh, John and Dedoussis, George and de Faire, Ulf and Feranil, Alan B and Ferrieres, Jean and Ferrucci, Luigi and Freimer, Nelson B and Gieger, Christian and Groop, Leif C and Gudnason, Vilmundur and Gyllensten, Ulf and Hamsten, Anders and Harris, Tamara B and Hingorani, Aroon and Hirschhorn, Joel N and Hofman, Albert and Hovingh, G Kees and Hsiung, Chao Agnes and Humphries, Steve E and Hunt, Steven C and Hveem, Kristian and Iribarren, Carlos and Jarvelin, Marjo-Riitta and Jula, Antti and K{\"a}h{\"o}nen, Mika and Kaprio, Jaakko and Kes{\"a}niemi, Antero and Kivimaki, Mika and Kooner, Jaspal S and Koudstaal, Peter J and Krauss, Ronald M and Kuh, Diana and Kuusisto, Johanna and Kyvik, Kirsten O and Laakso, Markku and Lakka, Timo A and Lind, Lars and Lindgren, Cecilia M and Martin, Nicholas G and M{\"a}rz, Winfried and McCarthy, Mark I and McKenzie, Colin A and Meneton, Pierre and Metspalu, Andres and Moilanen, Leena and Morris, Andrew D and Munroe, Patricia B and Nj{\o}lstad, Inger and Pedersen, Nancy L and Power, Chris and Pramstaller, Peter P and Price, Jackie F and Psaty, Bruce M and Quertermous, Thomas and Rauramaa, Rainer and Saleheen, Danish and Salomaa, Veikko and Sanghera, Dharambir K and Saramies, Jouko and Schwarz, Peter E H and Sheu, Wayne H-H and Shuldiner, Alan R and Siegbahn, Agneta and Spector, Tim D and Stefansson, Kari and Strachan, David P and Tayo, Bamidele O and Tremoli, Elena and Tuomilehto, Jaakko and Uusitupa, Matti and van Duijn, Cornelia M and Vollenweider, Peter and Wallentin, Lars and Wareham, Nicholas J and Whitfield, John B and Wolffenbuttel, Bruce H R and Ordovas, Jose M and Boerwinkle, Eric and Palmer, Colin N A and Thorsteinsdottir, Unnur and Chasman, Daniel I and Rotter, Jerome I and Franks, Paul W and Ripatti, Samuli and Cupples, L Adrienne and Sandhu, Manjinder S and Rich, Stephen S and Boehnke, Michael and Deloukas, Panos and Kathiresan, Sekar and Mohlke, Karen L and Ingelsson, Erik and Abecasis, Goncalo R} } @article {5856, title = {Exploring psychosocial pathways between neighbourhood characteristics and stroke in older adults: the cardiovascular health study.}, journal = {Age Ageing}, volume = {42}, year = {2013}, month = {2013 May}, pages = {391-7}, abstract = {

OBJECTIVES: to investigate whether psychosocial pathways mediate the association between neighbourhood socioeconomic disadvantage and stroke.

METHODS: prospective cohort study with a follow-up of 11.5 years.

SETTING: the Cardiovascular Health Study, a longitudinal population-based cohort study of older adults >=65 years.

MEASUREMENTS: the primary outcome was adjudicated incident ischaemic stroke. Neighbourhood socioeconomic status (NSES) was measured using a composite of six census-tract variables. Psychosocial factors were assessed with standard measures for depression, social support and social networks.

RESULTS: of the 3,834 white participants with no prior stroke, 548 had an incident ischaemic stroke over the 11.5-year follow-up. Among whites, the incident stroke hazard ratio (HR) associated with living in the lowest relative to highest NSES quartile was 1.32 (95\% CI = 1.01-1.73), in models adjusted for individual SES. Additional adjustment for psychosocial factors had a minimal effect on hazard of incident stroke (HR = 1.31, CI = 1.00-1.71). Associations between NSES and stroke incidence were not found among African-Americans (n = 785) in either partially or fully adjusted models.

CONCLUSIONS: psychosocial factors played a minimal role in mediating the effect of NSES on stroke incidence among white older adults.

}, keywords = {African Americans, Age Factors, Aged, Aged, 80 and over, Aging, Brain Ischemia, Depression, European Continental Ancestry Group, Female, Follow-Up Studies, Humans, Incidence, Linear Models, Logistic Models, Male, Middle Aged, Proportional Hazards Models, Prospective Studies, Residence Characteristics, Risk Assessment, Risk Factors, Social Support, Socioeconomic Factors, Stroke, Time Factors, United States, Vulnerable Populations}, issn = {1468-2834}, doi = {10.1093/ageing/afs179}, author = {Yan, Tingjian and Escarce, Jos{\'e} J and Liang, Li-Jung and Longstreth, W T and Merkin, Sharon Stein and Ovbiagele, Bruce and Vassar, Stefanie D and Seeman, Teresa and Sarkisian, Catherine and Brown, Arleen F} } @article {6282, title = {Genome-wide and gene-centric analyses of circulating myeloperoxidase levels in the charge and care consortia.}, journal = {Hum Mol Genet}, volume = {22}, year = {2013}, month = {2013 Aug 15}, pages = {3381-93}, abstract = {

Increased systemic levels of myeloperoxidase (MPO) are associated with the risk of coronary artery disease (CAD). To identify the genetic factors that are associated with circulating MPO levels, we carried out a genome-wide association study (GWAS) and a gene-centric analysis in subjects of European ancestry and African Americans (AAs). A locus on chromosome 1q31.1 containing the complement factor H (CFH) gene was strongly associated with serum MPO levels in 9305 subjects of European ancestry (lead SNP rs800292; P = 4.89 {\texttimes} 10(-41)) and in 1690 AA subjects (rs505102; P = 1.05 {\texttimes} 10(-8)). Gene-centric analyses in 8335 subjects of European ancestry additionally identified two rare MPO coding sequence variants that were associated with serum MPO levels (rs28730837, P = 5.21 {\texttimes} 10(-12); rs35897051, P = 3.32 {\texttimes} 10(-8)). A GWAS for plasma MPO levels in 9260 European ancestry subjects identified a chromosome 17q22 region near MPO that was significantly associated (lead SNP rs6503905; P = 2.94 {\texttimes} 10(-12)), but the CFH locus did not exhibit evidence of association with plasma MPO levels. Functional analyses revealed that rs800292 was associated with levels of complement proteins in serum. Variants at chromosome 17q22 also had pleiotropic cis effects on gene expression. In a case-control analysis of \~{}80 000 subjects from CARDIoGRAM, none of the identified single-nucleotide polymorphisms (SNPs) were associated with CAD. These results suggest that distinct genetic factors regulate serum and plasma MPO levels, which may have relevance for various acute and chronic inflammatory disorders. The clinical implications for CAD and a better understanding of the functional basis for the association of CFH and MPO variants with circulating MPO levels require further study.

}, keywords = {Adult, African Americans, Aged, Case-Control Studies, Complement Factor H, Coronary Artery Disease, European Continental Ancestry Group, Female, Gene Expression Regulation, Enzymologic, Genetic Association Studies, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Peroxidase, Polymorphism, Single Nucleotide, Young Adult}, issn = {1460-2083}, doi = {10.1093/hmg/ddt189}, author = {Reiner, Alexander P and Hartiala, Jaana and Zeller, Tanja and Bis, Joshua C and Dupuis, Jos{\'e}e and Fornage, Myriam and Baumert, Jens and Kleber, Marcus E and Wild, Philipp S and Baldus, Stephan and Bielinski, Suzette J and Fontes, Jo{\~a}o D and Illig, Thomas and Keating, Brendan J and Lange, Leslie A and Ojeda, Francisco and M{\"u}ller-Nurasyid, Martina and Munzel, Thomas F and Psaty, Bruce M and Rice, Kenneth and Rotter, Jerome I and Schnabel, Renate B and Tang, W H Wilson and Thorand, Barbara and Erdmann, Jeanette and Jacobs, David R and Wilson, James G and Koenig, Wolfgang and Tracy, Russell P and Blankenberg, Stefan and M{\"a}rz, Winfried and Gross, Myron D and Benjamin, Emelia J and Hazen, Stanley L and Allayee, Hooman} } @article {6075, title = {Genome-wide association analyses identify 18 new loci associated with serum urate concentrations.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Feb}, pages = {145-54}, abstract = {

Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with serum urate concentrations (18 new regions in or near TRIM46, INHBB, SFMBT1, TMEM171, VEGFA, BAZ1B, PRKAG2, STC1, HNF4G, A1CF, ATXN2, UBE2Q2, IGF1R, NFAT5, MAF, HLF, ACVR1B-ACVRL1 and B3GNT4). Associations for many of the loci were of similar magnitude in individuals of non-European ancestry. We further characterized these loci for associations with gout, transcript expression and the fractional excretion of urate. Network analyses implicate the inhibins-activins signaling pathways and glucose metabolism in systemic urate control. New candidate genes for serum urate concentration highlight the importance of metabolic control of urate production and excretion, which may have implications for the treatment and prevention of gout.

}, keywords = {Analysis of Variance, European Continental Ancestry Group, Gene Frequency, Genetic Loci, Genome-Wide Association Study, Glucose, Gout, Humans, Inhibins, Polymorphism, Single Nucleotide, Signal Transduction, Uric Acid}, issn = {1546-1718}, doi = {10.1038/ng.2500}, author = {K{\"o}ttgen, Anna and Albrecht, Eva and Teumer, Alexander and Vitart, Veronique and Krumsiek, Jan and Hundertmark, Claudia and Pistis, Giorgio and Ruggiero, Daniela and O{\textquoteright}Seaghdha, Conall M and Haller, Toomas and Yang, Qiong and Tanaka, Toshiko and Johnson, Andrew D and Kutalik, Zolt{\'a}n and Smith, Albert V and Shi, Julia and Struchalin, Maksim and Middelberg, Rita P S and Brown, Morris J and Gaffo, Angelo L and Pirastu, Nicola and Li, Guo and Hayward, Caroline and Zemunik, Tatijana and Huffman, Jennifer and Yengo, Loic and Zhao, Jing Hua and Demirkan, Ayse and Feitosa, Mary F and Liu, Xuan and Malerba, Giovanni and Lopez, Lorna M and van der Harst, Pim and Li, Xinzhong and Kleber, Marcus E and Hicks, Andrew A and Nolte, Ilja M and Johansson, Asa and Murgia, Federico and Wild, Sarah H and Bakker, Stephan J L and Peden, John F and Dehghan, Abbas and Steri, Maristella and Tenesa, Albert and Lagou, Vasiliki and Salo, Perttu and Mangino, Massimo and Rose, Lynda M and Lehtim{\"a}ki, Terho and Woodward, Owen M and Okada, Yukinori and Tin, Adrienne and M{\"u}ller, Christian and Oldmeadow, Christopher and Putku, Margus and Czamara, Darina and Kraft, Peter and Frogheri, Laura and Thun, Gian Andri and Grotevendt, Anne and Gislason, Gauti Kjartan and Harris, Tamara B and Launer, Lenore J and McArdle, Patrick and Shuldiner, Alan R and Boerwinkle, Eric and Coresh, Josef and Schmidt, Helena and Schallert, Michael and Martin, Nicholas G and Montgomery, Grant W and Kubo, Michiaki and Nakamura, Yusuke and Tanaka, Toshihiro and Munroe, Patricia B and Samani, Nilesh J and Jacobs, David R and Liu, Kiang and D{\textquoteright}Adamo, Pio and Ulivi, Sheila and Rotter, Jerome I and Psaty, Bruce M and Vollenweider, Peter and Waeber, G{\'e}rard and Campbell, Susan and Devuyst, Olivier and Navarro, Pau and Kolcic, Ivana and Hastie, Nicholas and Balkau, Beverley and Froguel, Philippe and Esko, T{\~o}nu and Salumets, Andres and Khaw, Kay Tee and Langenberg, Claudia and Wareham, Nicholas J and Isaacs, Aaron and Kraja, Aldi and Zhang, Qunyuan and Wild, Philipp S and Scott, Rodney J and Holliday, Elizabeth G and Org, Elin and Viigimaa, Margus and Bandinelli, Stefania and Metter, Jeffrey E and Lupo, Antonio and Trabetti, Elisabetta and Sorice, Rossella and D{\"o}ring, Angela and Lattka, Eva and Strauch, Konstantin and Theis, Fabian and Waldenberger, Melanie and Wichmann, H-Erich and Davies, Gail and Gow, Alan J and Bruinenberg, Marcel and Stolk, Ronald P and Kooner, Jaspal S and Zhang, Weihua and Winkelmann, Bernhard R and Boehm, Bernhard O and Lucae, Susanne and Penninx, Brenda W and Smit, Johannes H and Curhan, Gary and Mudgal, Poorva and Plenge, Robert M and Portas, Laura and Persico, Ivana and Kirin, Mirna and Wilson, James F and Mateo Leach, Irene and van Gilst, Wiek H and Goel, Anuj and Ongen, Halit and Hofman, Albert and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Imboden, Medea and von Eckardstein, Arnold and Cucca, Francesco and Nagaraja, Ramaiah and Piras, Maria Grazia and Nauck, Matthias and Schurmann, Claudia and Budde, Kathrin and Ernst, Florian and Farrington, Susan M and Theodoratou, Evropi and Prokopenko, Inga and Stumvoll, Michael and Jula, Antti and Perola, Markus and Salomaa, Veikko and Shin, So-Youn and Spector, Tim D and Sala, Cinzia and Ridker, Paul M and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Hengstenberg, Christian and Nelson, Christopher P and Meschia, James F and Nalls, Michael A and Sharma, Pankaj and Singleton, Andrew B and Kamatani, Naoyuki and Zeller, Tanja and Burnier, Michel and Attia, John and Laan, Maris and Klopp, Norman and Hillege, Hans L and Kloiber, Stefan and Choi, Hyon and Pirastu, Mario and Tore, Silvia and Probst-Hensch, Nicole M and V{\"o}lzke, Henry and Gudnason, Vilmundur and Parsa, Afshin and Schmidt, Reinhold and Whitfield, John B and Fornage, Myriam and Gasparini, Paolo and Siscovick, David S and Polasek, Ozren and Campbell, Harry and Rudan, Igor and Bouatia-Naji, Nabila and Metspalu, Andres and Loos, Ruth J F and van Duijn, Cornelia M and Borecki, Ingrid B and Ferrucci, Luigi and Gambaro, Giovanni and Deary, Ian J and Wolffenbuttel, Bruce H R and Chambers, John C and M{\"a}rz, Winfried and Pramstaller, Peter P and Snieder, Harold and Gyllensten, Ulf and Wright, Alan F and Navis, Gerjan and Watkins, Hugh and Witteman, Jacqueline C M and Sanna, Serena and Schipf, Sabine and Dunlop, Malcolm G and T{\"o}njes, Anke and Ripatti, Samuli and Soranzo, Nicole and Toniolo, Daniela and Chasman, Daniel I and Raitakari, Olli and Kao, W H Linda and Ciullo, Marina and Fox, Caroline S and Caulfield, Mark and Bochud, Murielle and Gieger, Christian} } @article {6287, title = {Genome-wide association of body fat distribution in African ancestry populations suggests new loci.}, journal = {PLoS Genet}, volume = {9}, year = {2013}, month = {2013}, pages = {e1003681}, abstract = {

Central obesity, measured by waist circumference (WC) or waist-hip ratio (WHR), is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS) of fat distribution among those of predominantly African ancestry (AA). We performed GWAS of WC and WHR, adjusted and unadjusted for BMI, in up to 33,591 and 27,350 AA individuals, respectively. We identified loci associated with fat distribution in AA individuals using meta-analyses of GWA results for WC and WHR (stage 1). Overall, 25 SNPs with single genomic control (GC)-corrected p-values<5.0 {\texttimes} 10(-6) were followed-up (stage 2) in AA with WC and with WHR. Additionally, we interrogated genomic regions of previously identified European ancestry (EA) WHR loci among AA. In joint analysis of association results including both Stage 1 and 2 cohorts, 2 SNPs demonstrated association, rs2075064 at LHX2, p = 2.24{\texttimes}10(-8) for WC-adjusted-for-BMI, and rs6931262 at RREB1, p = 2.48{\texttimes}10(-8) for WHR-adjusted-for-BMI. However, neither signal was genome-wide significant after double GC-correction (LHX2: p = 6.5 {\texttimes} 10(-8); RREB1: p = 5.7 {\texttimes} 10(-8)). Six of fourteen previously reported loci for waist in EA populations were significant (p<0.05 divided by the number of independent SNPs within the region) in AA studied here (TBX15-WARS2, GRB14, ADAMTS9, LY86, RSPO3, ITPR2-SSPN). Further, we observed associations with metabolic traits: rs13389219 at GRB14 associated with HDL-cholesterol, triglycerides, and fasting insulin, and rs13060013 at ADAMTS9 with HDL-cholesterol and fasting insulin. Finally, we observed nominal evidence for sexual dimorphism, with stronger results in AA women at the GRB14 locus (p for interaction = 0.02). In conclusion, we identified two suggestive loci associated with fat distribution in AA populations in addition to confirming 6 loci previously identified in populations of EA. These findings reinforce the concept that there are fat distribution loci that are independent of generalized adiposity.

}, keywords = {Adiposity, African Continental Ancestry Group, Body Fat Distribution, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Obesity, Polymorphism, Single Nucleotide, Waist-Hip Ratio}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003681}, author = {Liu, Ching-Ti and Monda, Keri L and Taylor, Kira C and Lange, Leslie and Demerath, Ellen W and Palmas, Walter and Wojczynski, Mary K and Ellis, Jaclyn C and Vitolins, Mara Z and Liu, Simin and Papanicolaou, George J and Irvin, Marguerite R and Xue, Luting and Griffin, Paula J and Nalls, Michael A and Adeyemo, Adebowale and Liu, Jiankang and Li, Guo and Ruiz-Narvaez, Edward A and Chen, Wei-Min and Chen, Fang and Henderson, Brian E and Millikan, Robert C and Ambrosone, Christine B and Strom, Sara S and Guo, Xiuqing and Andrews, Jeanette S and Sun, Yan V and Mosley, Thomas H and Yanek, Lisa R and Shriner, Daniel and Haritunians, Talin and Rotter, Jerome I and Speliotes, Elizabeth K and Smith, Megan and Rosenberg, Lynn and Mychaleckyj, Josyf and Nayak, Uma and Spruill, Ida and Garvey, W Timothy and Pettaway, Curtis and Nyante, Sarah and Bandera, Elisa V and Britton, Angela F and Zonderman, Alan B and Rasmussen-Torvik, Laura J and Chen, Yii-Der Ida and Ding, Jingzhong and Lohman, Kurt and Kritchevsky, Stephen B and Zhao, Wei and Peyser, Patricia A and Kardia, Sharon L R and Kabagambe, Edmond and Broeckel, Ulrich and Chen, Guanjie and Zhou, Jie and Wassertheil-Smoller, Sylvia and Neuhouser, Marian L and Rampersaud, Evadnie and Psaty, Bruce and Kooperberg, Charles and Manson, JoAnn E and Kuller, Lewis H and Ochs-Balcom, Heather M and Johnson, Karen C and Sucheston, Lara and Ordovas, Jose M and Palmer, Julie R and Haiman, Christopher A and McKnight, Barbara and Howard, Barbara V and Becker, Diane M and Bielak, Lawrence F and Liu, Yongmei and Allison, Matthew A and Grant, Struan F A and Burke, Gregory L and Patel, Sanjay R and Schreiner, Pamela J and Borecki, Ingrid B and Evans, Michele K and Taylor, Herman and Sale, Mich{\`e}le M and Howard, Virginia and Carlson, Christopher S and Rotimi, Charles N and Cushman, Mary and Harris, Tamara B and Reiner, Alexander P and Cupples, L Adrienne and North, Kari E and Fox, Caroline S} } @article {6632, title = {Genome-wide association study of cardiac structure and systolic function in African Americans: the Candidate Gene Association Resource (CARe) study.}, journal = {Circ Cardiovasc Genet}, volume = {6}, year = {2013}, month = {2013 Feb}, pages = {37-46}, abstract = {

BACKGROUND: Using data from 4 community-based cohorts of African Americans, we tested the association between genome-wide markers (single-nucleotide polymorphisms) and cardiac phenotypes in the Candidate-gene Association Resource study.

METHODS AND RESULTS: Among 6765 African Americans, we related age, sex, height, and weight-adjusted residuals for 9 cardiac phenotypes (assessed by echocardiogram or magnetic resonance imaging) to 2.5 million single-nucleotide polymorphisms genotyped using Genome-wide Affymetrix Human SNP Array 6.0 (Affy6.0) and the remainder imputed. Within the cohort, genome-wide association analysis was conducted, followed by meta-analysis across cohorts using inverse variance weights (genome-wide significance threshold=4.0 {\texttimes}10(-7)). Supplementary pathway analysis was performed. We attempted replication in 3 smaller cohorts of African ancestry and tested lookups in 1 consortium of European ancestry (EchoGEN). Across the 9 phenotypes, variants in 4 genetic loci reached genome-wide significance: rs4552931 in UBE2V2 (P=1.43{\texttimes}10(-7)) for left ventricular mass, rs7213314 in WIPI1 (P=1.68{\texttimes}10(-7)) for left ventricular internal diastolic diameter, rs1571099 in PPAPDC1A (P=2.57{\texttimes}10(-8)) for interventricular septal wall thickness, and rs9530176 in KLF5 (P=4.02{\texttimes}10(-7)) for ejection fraction. Associated variants were enriched in 3 signaling pathways involved in cardiac remodeling. None of the 4 loci replicated in cohorts of African ancestry was confirmed in lookups in EchoGEN.

CONCLUSIONS: In the largest genome-wide association study of cardiac structure and function to date in African Americans, we identified 4 genetic loci related to left ventricular mass, interventricular septal wall thickness, left ventricular internal diastolic diameter, and ejection fraction, which reached genome-wide significance. Replication results suggest that these loci may be unique to individuals of African ancestry. Additional large-scale studies are warranted for these complex phenotypes.

}, keywords = {African Americans, Aged, Cohort Studies, Diastole, Echocardiography, European Continental Ancestry Group, Female, Genome-Wide Association Study, Genotype, Heart, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Systole}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.962365}, author = {Fox, Ervin R and Musani, Solomon K and Barbalic, Maja and Lin, Honghuang and Yu, Bing and Ogunyankin, Kofo O and Smith, Nicholas L and Kutlar, Abdullah and Glazer, Nicole L and Post, Wendy S and Paltoo, Dina N and Dries, Daniel L and Farlow, Deborah N and Duarte, Christine W and Kardia, Sharon L and Meyers, Kristin J and Sun, Yan V and Arnett, Donna K and Patki, Amit A and Sha, Jin and Cui, Xiangqui and Samdarshi, Tandaw E and Penman, Alan D and Bibbins-Domingo, Kirsten and B{\r u}zkov{\'a}, Petra and Benjamin, Emelia J and Bluemke, David A and Morrison, Alanna C and Heiss, Gerardo and Carr, J Jeffrey and Tracy, Russell P and Mosley, Thomas H and Taylor, Herman A and Psaty, Bruce M and Heckbert, Susan R and Cappola, Thomas P and Vasan, Ramachandran S} } @article {6070, title = {A genome-wide association study of depressive symptoms.}, journal = {Biol Psychiatry}, volume = {73}, year = {2013}, month = {2013 Apr 01}, pages = {667-78}, abstract = {

BACKGROUND: Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms.

METHODS: In this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p<1{\texttimes}10(-5)) was performed in five studies assessing depressive symptoms with other instruments. In addition, we performed a combined meta-analysis of all 22 discovery and replication studies.

RESULTS: The discovery sample comprised 34,549 individuals (mean age of 66.5) and no loci reached genome-wide significance (lowest p = 1.05{\texttimes}10(-7)). Seven independent single nucleotide polymorphisms were considered for replication. In the replication set (n = 16,709), we found suggestive association of one single nucleotide polymorphism with depressive symptoms (rs161645, 5q21, p = 9.19{\texttimes}10(-3)). This 5q21 region reached genome-wide significance (p = 4.78{\texttimes}10(-8)) in the overall meta-analysis combining discovery and replication studies (n = 51,258).

CONCLUSIONS: The results suggest that only a large sample comprising more than 50,000 subjects may be sufficiently powered to detect genes for depressive symptoms.

}, keywords = {Aged, Aged, 80 and over, Chromosomes, Human, Pair 5, Depression, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1873-2402}, doi = {10.1016/j.biopsych.2012.09.033}, author = {Hek, Karin and Demirkan, Ayse and Lahti, Jari and Terracciano, Antonio and Teumer, Alexander and Cornelis, Marilyn C and Amin, Najaf and Bakshis, Erin and Baumert, Jens and Ding, Jingzhong and Liu, Yongmei and Marciante, Kristin and Meirelles, Osorio and Nalls, Michael A and Sun, Yan V and Vogelzangs, Nicole and Yu, Lei and Bandinelli, Stefania and Benjamin, Emelia J and Bennett, David A and Boomsma, Dorret and Cannas, Alessandra and Coker, Laura H and de Geus, Eco and De Jager, Philip L and Diez-Roux, Ana V and Purcell, Shaun and Hu, Frank B and Rimma, Eric B and Hunter, David J and Jensen, Majken K and Curhan, Gary and Rice, Kenneth and Penman, Alan D and Rotter, Jerome I and Sotoodehnia, Nona and Emeny, Rebecca and Eriksson, Johan G and Evans, Denis A and Ferrucci, Luigi and Fornage, Myriam and Gudnason, Vilmundur and Hofman, Albert and Illig, Thomas and Kardia, Sharon and Kelly-Hayes, Margaret and Koenen, Karestan and Kraft, Peter and Kuningas, Maris and Massaro, Joseph M and Melzer, David and Mulas, Antonella and Mulder, Cornelis L and Murray, Anna and Oostra, Ben A and Palotie, Aarno and Penninx, Brenda and Petersmann, Astrid and Pilling, Luke C and Psaty, Bruce and Rawal, Rajesh and Reiman, Eric M and Schulz, Andrea and Shulman, Joshua M and Singleton, Andrew B and Smith, Albert V and Sutin, Angelina R and Uitterlinden, Andr{\'e} G and V{\"o}lzke, Henry and Widen, Elisabeth and Yaffe, Kristine and Zonderman, Alan B and Cucca, Francesco and Harris, Tamara and Ladwig, Karl-Heinz and Llewellyn, David J and R{\"a}ikk{\"o}nen, Katri and Tanaka, Toshiko and van Duijn, Cornelia M and Grabe, Hans J and Launer, Lenore J and Lunetta, Kathryn L and Mosley, Thomas H and Newman, Anne B and Tiemeier, Henning and Murabito, Joanne} } @article {6153, title = {A genome-wide association study of early menopause and the combined impact of identified variants.}, journal = {Hum Mol Genet}, volume = {22}, year = {2013}, month = {2013 Apr 01}, pages = {1465-72}, abstract = {

Early menopause (EM) affects up to 10\% of the female population, reducing reproductive lifespan considerably. Currently, it constitutes the leading cause of infertility in the western world, affecting mainly those women who postpone their first pregnancy beyond the age of 30 years. The genetic aetiology of EM is largely unknown in the majority of cases. We have undertaken a meta-analysis of genome-wide association studies (GWASs) in 3493 EM cases and 13 598 controls from 10 independent studies. No novel genetic variants were discovered, but the 17 variants previously associated with normal age at natural menopause as a quantitative trait (QT) were also associated with EM and primary ovarian insufficiency (POI). Thus, EM has a genetic aetiology which overlaps variation in normal age at menopause and is at least partly explained by the additive effects of the same polygenic variants. The combined effect of the common variants captured by the single nucleotide polymorphism arrays was estimated to account for \~{}30\% of the variance in EM. The association between the combined 17 variants and the risk of EM was greater than the best validated non-genetic risk factor, smoking.

}, keywords = {Case-Control Studies, Female, Gene Frequency, Genome-Wide Association Study, Humans, Menopause, Premature, Polymorphism, Single Nucleotide, Primary Ovarian Insufficiency, Quantitative Trait Loci, Risk}, issn = {1460-2083}, doi = {10.1093/hmg/dds551}, author = {Perry, John R B and Corre, Tanguy and Esko, T{\~o}nu and Chasman, Daniel I and Fischer, Krista and Franceschini, Nora and He, Chunyan and Kutalik, Zolt{\'a}n and Mangino, Massimo and Rose, Lynda M and Vernon Smith, Albert and Stolk, Lisette and Sulem, Patrick and Weedon, Michael N and Zhuang, Wei V and Arnold, Alice and Ashworth, Alan and Bergmann, Sven and Buring, Julie E and Burri, Andrea and Chen, Constance and Cornelis, Marilyn C and Couper, David J and Goodarzi, Mark O and Gudnason, Vilmundur and Harris, Tamara and Hofman, Albert and Jones, Michael and Kraft, Peter and Launer, Lenore and Laven, Joop S E and Li, Guo and McKnight, Barbara and Masciullo, Corrado and Milani, Lili and Orr, Nicholas and Psaty, Bruce M and Ridker, Paul M and Rivadeneira, Fernando and Sala, Cinzia and Salumets, Andres and Schoemaker, Minouk and Traglia, Michela and Waeber, G{\'e}rard and Chanock, Stephen J and Demerath, Ellen W and Garcia, Melissa and Hankinson, Susan E and Hu, Frank B and Hunter, David J and Lunetta, Kathryn L and Metspalu, Andres and Montgomery, Grant W and Murabito, Joanne M and Newman, Anne B and Ong, Ken K and Spector, Tim D and Stefansson, Kari and Swerdlow, Anthony J and Thorsteinsdottir, Unnur and van Dam, Rob M and Uitterlinden, Andr{\'e} G and Visser, Jenny A and Vollenweider, Peter and Toniolo, Daniela and Murray, Anna} } @article {6072, title = {Genome-wide association study of retinopathy in individuals without diabetes.}, journal = {PLoS One}, volume = {8}, year = {2013}, month = {2013}, pages = {e54232}, abstract = {

BACKGROUND: Mild retinopathy (microaneurysms or dot-blot hemorrhages) is observed in persons without diabetes or hypertension and may reflect microvascular disease in other organs. We conducted a genome-wide association study (GWAS) of mild retinopathy in persons without diabetes.

METHODS: A working group agreed on phenotype harmonization, covariate selection and analytic plans for within-cohort GWAS. An inverse-variance weighted fixed effects meta-analysis was performed with GWAS results from six cohorts of 19,411 Caucasians. The primary analysis included individuals without diabetes and secondary analyses were stratified by hypertension status. We also singled out the results from single nucleotide polymorphisms (SNPs) previously shown to be associated with diabetes and hypertension, the two most common causes of retinopathy.

RESULTS: No SNPs reached genome-wide significance in the primary analysis or the secondary analysis of participants with hypertension. SNP, rs12155400, in the histone deacetylase 9 gene (HDAC9) on chromosome 7, was associated with retinopathy in analysis of participants without hypertension, -1.3{\textpm}0.23 (beta {\textpm} standard error), p = 6.6{\texttimes}10(-9). Evidence suggests this was a false positive finding. The minor allele frequency was low (\~{}2\%), the quality of the imputation was moderate (r(2) \~{}0.7), and no other common variants in the HDAC9 gene were associated with the outcome. SNPs found to be associated with diabetes and hypertension in other GWAS were not associated with retinopathy in persons without diabetes or in subgroups with or without hypertension.

CONCLUSIONS: This GWAS of retinopathy in individuals without diabetes showed little evidence of genetic associations. Further studies are needed to identify genes associated with these signs in order to help unravel novel pathways and determinants of microvascular diseases.

}, keywords = {Aged, Aged, 80 and over, Female, Genome-Wide Association Study, Genotype, Histone Deacetylases, Humans, Hypertension, Male, Polymorphism, Single Nucleotide, Repressor Proteins, Retinal Diseases}, issn = {1932-6203}, doi = {10.1371/journal.pone.0054232}, author = {Jensen, Richard A and Sim, Xueling and Li, Xiaohui and Cotch, Mary Frances and Ikram, M Kamran and Holliday, Elizabeth G and Eiriksdottir, Gudny and Harris, Tamara B and Jonasson, Fridbert and Klein, Barbara E K and Launer, Lenore J and Smith, Albert Vernon and Boerwinkle, Eric and Cheung, Ning and Hewitt, Alex W and Liew, Gerald and Mitchell, Paul and Wang, Jie Jin and Attia, John and Scott, Rodney and Glazer, Nicole L and Lumley, Thomas and McKnight, Barbara and Psaty, Bruce M and Taylor, Kent and Hofman, Albert and de Jong, Paulus T V M and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Tay, Wan-Ting and Teo, Yik Ying and Seielstad, Mark and Liu, Jianjun and Cheng, Ching-Yu and Saw, Seang-Mei and Aung, Tin and Ganesh, Santhi K and O{\textquoteright}Donnell, Christopher J and Nalls, Mike A and Wiggins, Kerri L and Kuo, Jane Z and van Duijn, Cornelia M and Gudnason, Vilmundur and Klein, Ronald and Siscovick, David S and Rotter, Jerome I and Tai, E Shong and Vingerling, Johannes and Wong, Tien Y} } @article {6152, title = {Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 May}, pages = {501-12}, abstract = {

Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.

}, keywords = {Anthropometry, Body Height, Body Mass Index, Case-Control Studies, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Obesity, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Waist-Hip Ratio}, issn = {1546-1718}, doi = {10.1038/ng.2606}, author = {Berndt, Sonja I and Gustafsson, Stefan and M{\"a}gi, Reedik and Ganna, Andrea and Wheeler, Eleanor and Feitosa, Mary F and Justice, Anne E and Monda, Keri L and Croteau-Chonka, Damien C and Day, Felix R and Esko, T{\~o}nu and Fall, Tove and Ferreira, Teresa and Gentilini, Davide and Jackson, Anne U and Luan, Jian{\textquoteright}an and Randall, Joshua C and Vedantam, Sailaja and Willer, Cristen J and Winkler, Thomas W and Wood, Andrew R and Workalemahu, Tsegaselassie and Hu, Yi-Juan and Lee, Sang Hong and Liang, Liming and Lin, Dan-Yu and Min, Josine L and Neale, Benjamin M and Thorleifsson, Gudmar and Yang, Jian and Albrecht, Eva and Amin, Najaf and Bragg-Gresham, Jennifer L and Cadby, Gemma and den Heijer, Martin and Eklund, Niina and Fischer, Krista and Goel, Anuj and Hottenga, Jouke-Jan and Huffman, Jennifer E and Jarick, Ivonne and Johansson, Asa and Johnson, Toby and Kanoni, Stavroula and Kleber, Marcus E and K{\"o}nig, Inke R and Kristiansson, Kati and Kutalik, Zolt{\'a}n and Lamina, Claudia and Lecoeur, C{\'e}cile and Li, Guo and Mangino, Massimo and McArdle, Wendy L and Medina-G{\'o}mez, Carolina and M{\"u}ller-Nurasyid, Martina and Ngwa, Julius S and Nolte, Ilja M and Paternoster, Lavinia and Pechlivanis, Sonali and Perola, Markus and Peters, Marjolein J and Preuss, Michael and Rose, Lynda M and Shi, Jianxin and Shungin, Dmitry and Smith, Albert Vernon and Strawbridge, Rona J and Surakka, Ida and Teumer, Alexander and Trip, Mieke D and Tyrer, Jonathan and van Vliet-Ostaptchouk, Jana V and Vandenput, Liesbeth and Waite, Lindsay L and Zhao, Jing Hua and Absher, Devin and Asselbergs, Folkert W and Atalay, Mustafa and Attwood, Antony P and Balmforth, Anthony J and Basart, Hanneke and Beilby, John and Bonnycastle, Lori L and Brambilla, Paolo and Bruinenberg, Marcel and Campbell, Harry and Chasman, Daniel I and Chines, Peter S and Collins, Francis S and Connell, John M and Cookson, William O and de Faire, Ulf and de Vegt, Femmie and Dei, Mariano and Dimitriou, Maria and Edkins, Sarah and Estrada, Karol and Evans, David M and Farrall, Martin and Ferrario, Marco M and Ferrieres, Jean and Franke, Lude and Frau, Francesca and Gejman, Pablo V and Grallert, Harald and Gr{\"o}nberg, Henrik and Gudnason, Vilmundur and Hall, Alistair S and Hall, Per and Hartikainen, Anna-Liisa and Hayward, Caroline and Heard-Costa, Nancy L and Heath, Andrew C and Hebebrand, Johannes and Homuth, Georg and Hu, Frank B and Hunt, Sarah E and Hypp{\"o}nen, Elina and Iribarren, Carlos and Jacobs, Kevin B and Jansson, John-Olov and Jula, Antti and K{\"a}h{\"o}nen, Mika and Kathiresan, Sekar and Kee, Frank and Khaw, Kay-Tee and Kivimaki, Mika and Koenig, Wolfgang and Kraja, Aldi T and Kumari, Meena and Kuulasmaa, Kari and Kuusisto, Johanna and Laitinen, Jaana H and Lakka, Timo A and Langenberg, Claudia and Launer, Lenore J and Lind, Lars and Lindstr{\"o}m, Jaana and Liu, Jianjun and Liuzzi, Antonio and Lokki, Marja-Liisa and Lorentzon, Mattias and Madden, Pamela A and Magnusson, Patrik K and Manunta, Paolo and Marek, Diana and M{\"a}rz, Winfried and Mateo Leach, Irene and McKnight, Barbara and Medland, Sarah E and Mihailov, Evelin and Milani, Lili and Montgomery, Grant W and Mooser, Vincent and M{\"u}hleisen, Thomas W and Munroe, Patricia B and Musk, Arthur W and Narisu, Narisu and Navis, Gerjan and Nicholson, George and Nohr, Ellen A and Ong, Ken K and Oostra, Ben A and Palmer, Colin N A and Palotie, Aarno and Peden, John F and Pedersen, Nancy and Peters, Annette and Polasek, Ozren and Pouta, Anneli and Pramstaller, Peter P and Prokopenko, Inga and P{\"u}tter, Carolin and Radhakrishnan, Aparna and Raitakari, Olli and Rendon, Augusto and Rivadeneira, Fernando and Rudan, Igor and Saaristo, Timo E and Sambrook, Jennifer G and Sanders, Alan R and Sanna, Serena and Saramies, Jouko and Schipf, Sabine and Schreiber, Stefan and Schunkert, Heribert and Shin, So-Youn and Signorini, Stefano and Sinisalo, Juha and Skrobek, Boris and Soranzo, Nicole and Stan{\v c}{\'a}kov{\'a}, Alena and Stark, Klaus and Stephens, Jonathan C and Stirrups, Kathleen and Stolk, Ronald P and Stumvoll, Michael and Swift, Amy J and Theodoraki, Eirini V and Thorand, Barbara and Tr{\'e}gou{\"e}t, David-Alexandre and Tremoli, Elena and van der Klauw, Melanie M and van Meurs, Joyce B J and Vermeulen, Sita H and Viikari, Jorma and Virtamo, Jarmo and Vitart, Veronique and Waeber, G{\'e}rard and Wang, Zhaoming and Widen, Elisabeth and Wild, Sarah H and Willemsen, Gonneke and Winkelmann, Bernhard R and Witteman, Jacqueline C M and Wolffenbuttel, Bruce H R and Wong, Andrew and Wright, Alan F and Zillikens, M Carola and Amouyel, Philippe and Boehm, Bernhard O and Boerwinkle, Eric and Boomsma, Dorret I and Caulfield, Mark J and Chanock, Stephen J and Cupples, L Adrienne and Cusi, Daniele and Dedoussis, George V and Erdmann, Jeanette and Eriksson, Johan G and Franks, Paul W and Froguel, Philippe and Gieger, Christian and Gyllensten, Ulf and Hamsten, Anders and Harris, Tamara B and Hengstenberg, Christian and Hicks, Andrew A and Hingorani, Aroon and Hinney, Anke and Hofman, Albert and Hovingh, Kees G and Hveem, Kristian and Illig, Thomas and Jarvelin, Marjo-Riitta and J{\"o}ckel, Karl-Heinz and Keinanen-Kiukaanniemi, Sirkka M and Kiemeney, Lambertus A and Kuh, Diana and Laakso, Markku and Lehtim{\"a}ki, Terho and Levinson, Douglas F and Martin, Nicholas G and Metspalu, Andres and Morris, Andrew D and Nieminen, Markku S and Nj{\o}lstad, Inger and Ohlsson, Claes and Oldehinkel, Albertine J and Ouwehand, Willem H and Palmer, Lyle J and Penninx, Brenda and Power, Chris and Province, Michael A and Psaty, Bruce M and Qi, Lu and Rauramaa, Rainer and Ridker, Paul M and Ripatti, Samuli and Salomaa, Veikko and Samani, Nilesh J and Snieder, Harold and S{\o}rensen, Thorkild I A and Spector, Timothy D and Stefansson, Kari and T{\"o}njes, Anke and Tuomilehto, Jaakko and Uitterlinden, Andr{\'e} G and Uusitupa, Matti and van der Harst, Pim and Vollenweider, Peter and Wallaschofski, Henri and Wareham, Nicholas J and Watkins, Hugh and Wichmann, H-Erich and Wilson, James F and Abecasis, Goncalo R and Assimes, Themistocles L and Barroso, In{\^e}s and Boehnke, Michael and Borecki, Ingrid B and Deloukas, Panos and Fox, Caroline S and Frayling, Timothy and Groop, Leif C and Haritunian, Talin and Heid, Iris M and Hunter, David and Kaplan, Robert C and Karpe, Fredrik and Moffatt, Miriam F and Mohlke, Karen L and O{\textquoteright}Connell, Jeffrey R and Pawitan, Yudi and Schadt, Eric E and Schlessinger, David and Steinthorsdottir, Valgerdur and Strachan, David P and Thorsteinsdottir, Unnur and van Duijn, Cornelia M and Visscher, Peter M and Di Blasio, Anna Maria and Hirschhorn, Joel N and Lindgren, Cecilia M and Morris, Andrew P and Meyre, David and Scherag, Andre and McCarthy, Mark I and Speliotes, Elizabeth K and North, Kari E and Loos, Ruth J F and Ingelsson, Erik} } @article {6163, title = {Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake.}, journal = {Am J Clin Nutr}, volume = {97}, year = {2013}, month = {2013 Jun}, pages = {1395-402}, abstract = {

BACKGROUND: Macronutrient intake varies substantially between individuals, and there is evidence that this variation is partly accounted for by genetic variants.

OBJECTIVE: The objective of the study was to identify common genetic variants that are associated with macronutrient intake.

DESIGN: We performed 2-stage genome-wide association (GWA) meta-analysis of macronutrient intake in populations of European descent. Macronutrients were assessed by using food-frequency questionnaires and analyzed as percentages of total energy consumption from total fat, protein, and carbohydrate. From the discovery GWA (n = 38,360), 35 independent loci associated with macronutrient intake at P < 5 {\texttimes} 10(-6) were identified and taken forward to replication in 3 additional cohorts (n = 33,533) from the DietGen Consortium. For one locus, fat mass obesity-associated protein (FTO), cohorts with Illumina MetaboChip genotype data (n = 7724) provided additional replication data.

RESULTS: A variant in the chromosome 19 locus (rs838145) was associated with higher carbohydrate (β {\textpm} SE: 0.25 {\textpm} 0.04\%; P = 1.68 {\texttimes} 10(-8)) and lower fat (β {\textpm} SE: -0.21 {\textpm} 0.04\%; P = 1.57 {\texttimes} 10(-9)) consumption. A candidate gene in this region, fibroblast growth factor 21 (FGF21), encodes a fibroblast growth factor involved in glucose and lipid metabolism. The variants in this locus were associated with circulating FGF21 protein concentrations (P < 0.05) but not mRNA concentrations in blood or brain. The body mass index (BMI)-increasing allele of the FTO variant (rs1421085) was associated with higher protein intake (β {\textpm} SE: 0.10 {\textpm} 0.02\%; P = 9.96 {\texttimes} 10(-10)), independent of BMI (after adjustment for BMI, β {\textpm} SE: 0.08 {\textpm} 0.02\%; P = 3.15 {\texttimes} 10(-7)).

CONCLUSION: Our results indicate that variants in genes involved in nutrient metabolism and obesity are associated with macronutrient consumption in humans. Trials related to this study were registered at clinicaltrials.gov as NCT00005131 (Atherosclerosis Risk in Communities), NCT00005133 (Cardiovascular Health Study), NCT00005136 (Family Heart Study), NCT00005121 (Framingham Heart Study), NCT00083369 (Genetic and Environmental Determinants of Triglycerides), NCT01331512 (InCHIANTI Study), and NCT00005487 (Multi-Ethnic Study of Atherosclerosis).

}, keywords = {Alleles, Atherosclerosis, Body Mass Index, Dietary Carbohydrates, Dietary Fats, Dietary Proteins, Energy Intake, European Continental Ancestry Group, Fibroblast Growth Factors, Follow-Up Studies, Gene-Environment Interaction, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Life Style, Obesity, Polymorphism, Single Nucleotide, Prospective Studies, Quantitative Trait Loci, Surveys and Questionnaires}, issn = {1938-3207}, doi = {10.3945/ajcn.112.052183}, author = {Tanaka, Toshiko and Ngwa, Julius S and van Rooij, Frank J A and Zillikens, M Carola and Wojczynski, Mary K and Frazier-Wood, Alexis C and Houston, Denise K and Kanoni, Stavroula and Lemaitre, Rozenn N and Luan, Jian{\textquoteright}an and Mikkil{\"a}, Vera and Renstrom, Frida and Sonestedt, Emily and Zhao, Jing Hua and Chu, Audrey Y and Qi, Lu and Chasman, Daniel I and de Oliveira Otto, Marcia C and Dhurandhar, Emily J and Feitosa, Mary F and Johansson, Ingegerd and Khaw, Kay-Tee and Lohman, Kurt K and Manichaikul, Ani and McKeown, Nicola M and Mozaffarian, Dariush and Singleton, Andrew and Stirrups, Kathleen and Viikari, Jorma and Ye, Zheng and Bandinelli, Stefania and Barroso, In{\^e}s and Deloukas, Panos and Forouhi, Nita G and Hofman, Albert and Liu, Yongmei and Lyytik{\"a}inen, Leo-Pekka and North, Kari E and Dimitriou, Maria and Hallmans, G{\"o}ran and K{\"a}h{\"o}nen, Mika and Langenberg, Claudia and Ordovas, Jose M and Uitterlinden, Andr{\'e} G and Hu, Frank B and Kalafati, Ioanna-Panagiota and Raitakari, Olli and Franco, Oscar H and Johnson, Andrew and Emilsson, Valur and Schrack, Jennifer A and Semba, Richard D and Siscovick, David S and Arnett, Donna K and Borecki, Ingrid B and Franks, Paul W and Kritchevsky, Stephen B and Lehtim{\"a}ki, Terho and Loos, Ruth J F and Orho-Melander, Marju and Rotter, Jerome I and Wareham, Nicholas J and Witteman, Jacqueline C M and Ferrucci, Luigi and Dedoussis, George and Cupples, L Adrienne and Nettleton, Jennifer A} } @article {6068, title = {Genome-wide study identifies two loci associated with lung function decline in mild to moderate COPD.}, journal = {Hum Genet}, volume = {132}, year = {2013}, month = {2013 Jan}, pages = {79-90}, abstract = {

Accelerated lung function decline is a key COPD phenotype; however, its genetic control remains largely unknown. We performed a genome-wide association study using the Illumina Human660W-Quad v.1_A BeadChip. Generalized estimation equations were used to assess genetic contributions to lung function decline over a 5-year period in 4,048 European American Lung Health Study participants with largely mild COPD. Genotype imputation was performed using reference HapMap II data. To validate regions meeting genome-wide significance, replication of top SNPs was attempted in independent cohorts. Three genes (TMEM26, ANK3 and FOXA1) within the regions of interest were selected for tissue expression studies using immunohistochemistry. Two intergenic SNPs (rs10761570, rs7911302) on chromosome 10 and one SNP on chromosome 14 (rs177852) met genome-wide significance after Bonferroni. Further support for the chromosome 10 region was obtained by imputation, the most significantly associated imputed SNPs (rs10761571, rs7896712) being flanked by observed markers rs10761570 and rs7911302. Results were not replicated in four general population cohorts or a smaller cohort of subjects with moderate to severe COPD; however, we show novel expression of genes near regions of significantly associated SNPS, including TMEM26 and FOXA1 in airway epithelium and lung parenchyma, and ANK3 in alveolar macrophages. Levels of expression were associated with lung function and COPD status. We identified two novel regions associated with lung function decline in mild COPD. Genes within these regions were expressed in relevant lung cells and their expression related to airflow limitation suggesting they may represent novel candidate genes for COPD susceptibility.

}, keywords = {Adult, Ankyrins, Chromosomes, Human, Pair 10, Chromosomes, Human, Pair 14, Cohort Studies, Female, Genome-Wide Association Study, Hepatocyte Nuclear Factor 3-alpha, Humans, Linkage Disequilibrium, Lung, Male, Membrane Proteins, Middle Aged, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive}, issn = {1432-1203}, doi = {10.1007/s00439-012-1219-6}, author = {Hansel, Nadia N and Ruczinski, Ingo and Rafaels, Nicholas and Sin, Don D and Daley, Denise and Malinina, Alla and Huang, Lili and Sandford, Andrew and Murray, Tanda and Kim, Yoonhee and Vergara, Candelaria and Heckbert, Susan R and Psaty, Bruce M and Li, Guo and Elliott, W Mark and Aminuddin, Farzian and Dupuis, Jos{\'e}e and O{\textquoteright}Connor, George T and Doheny, Kimberly and Scott, Alan F and Boezen, H Marike and Postma, Dirkje S and Smolonska, Joanna and Zanen, Pieter and Mohamed Hoesein, Firdaus A and de Koning, Harry J and Crystal, Ronald G and Tanaka, Toshiko and Ferrucci, Luigi and Silverman, Edwin and Wan, Emily and Vestbo, Jorgen and Lomas, David A and Connett, John and Wise, Robert A and Neptune, Enid R and Mathias, Rasika A and Par{\'e}, Peter D and Beaty, Terri H and Barnes, Kathleen C} } @article {5879, title = {Higher magnesium intake is associated with lower fasting glucose and insulin, with no evidence of interaction with select genetic loci, in a meta-analysis of 15 CHARGE Consortium Studies.}, journal = {J Nutr}, volume = {143}, year = {2013}, month = {2013 Mar}, pages = {345-53}, abstract = {

Favorable associations between magnesium intake and glycemic traits, such as fasting glucose and insulin, are observed in observational and clinical studies, but whether genetic variation affects these associations is largely unknown. We hypothesized that single nucleotide polymorphisms (SNPs) associated with either glycemic traits or magnesium metabolism affect the association between magnesium intake and fasting glucose and insulin. Fifteen studies from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium provided data from up to 52,684 participants of European descent without known diabetes. In fixed-effects meta-analyses, we quantified 1) cross-sectional associations of dietary magnesium intake with fasting glucose (mmol/L) and insulin (ln-pmol/L) and 2) interactions between magnesium intake and SNPs related to fasting glucose (16 SNPs), insulin (2 SNPs), or magnesium (8 SNPs) on fasting glucose and insulin. After adjustment for age, sex, energy intake, BMI, and behavioral risk factors, magnesium (per 50-mg/d increment) was inversely associated with fasting glucose [β = -0.009 mmol/L (95\% CI: -0.013, -0.005), P < 0.0001] and insulin [-0.020 ln-pmol/L (95\% CI: -0.024, -0.017), P < 0.0001]. No magnesium-related SNP or interaction between any SNP and magnesium reached significance after correction for multiple testing. However, rs2274924 in magnesium transporter-encoding TRPM6 showed a nominal association (uncorrected P = 0.03) with glucose, and rs11558471 in SLC30A8 and rs3740393 near CNNM2 showed a nominal interaction (uncorrected, both P = 0.02) with magnesium on glucose. Consistent with other studies, a higher magnesium intake was associated with lower fasting glucose and insulin. Nominal evidence of TRPM6 influence and magnesium interaction with select loci suggests that further investigation is warranted.

}, keywords = {Blood Glucose, Female, Genetic Loci, Humans, Insulin, Magnesium, Male, Polymorphism, Single Nucleotide, Trace Elements, TRPM Cation Channels}, issn = {1541-6100}, doi = {10.3945/jn.112.172049}, author = {Hruby, Adela and Ngwa, Julius S and Renstrom, Frida and Wojczynski, Mary K and Ganna, Andrea and Hallmans, G{\"o}ran and Houston, Denise K and Jacques, Paul F and Kanoni, Stavroula and Lehtim{\"a}ki, Terho and Lemaitre, Rozenn N and Manichaikul, Ani and North, Kari E and Ntalla, Ioanna and Sonestedt, Emily and Tanaka, Toshiko and van Rooij, Frank J A and Bandinelli, Stefania and Djouss{\'e}, Luc and Grigoriou, Efi and Johansson, Ingegerd and Lohman, Kurt K and Pankow, James S and Raitakari, Olli T and Riserus, Ulf and Yannakoulia, Mary and Zillikens, M Carola and Hassanali, Neelam and Liu, Yongmei and Mozaffarian, Dariush and Papoutsakis, Constantina and Syv{\"a}nen, Ann-Christine and Uitterlinden, Andr{\'e} G and Viikari, Jorma and Groves, Christopher J and Hofman, Albert and Lind, Lars and McCarthy, Mark I and Mikkil{\"a}, Vera and Mukamal, Kenneth and Franco, Oscar H and Borecki, Ingrid B and Cupples, L Adrienne and Dedoussis, George V and Ferrucci, Luigi and Hu, Frank B and Ingelsson, Erik and K{\"a}h{\"o}nen, Mika and Kao, W H Linda and Kritchevsky, Stephen B and Orho-Melander, Marju and Prokopenko, Inga and Rotter, Jerome I and Siscovick, David S and Witteman, Jacqueline C M and Franks, Paul W and Meigs, James B and McKeown, Nicola M and Nettleton, Jennifer A} } @article {5854, title = {Hypertension and low HDL cholesterol were associated with reduced kidney function across the age spectrum: a collaborative study.}, journal = {Ann Epidemiol}, volume = {23}, year = {2013}, month = {2013 Mar}, pages = {106-11}, abstract = {

PURPOSE: To determine if the associations among established risk factors and reduced kidney function vary by age.

METHODS: We pooled cross-sectional data from 14,788 nondiabetics aged 40 to 100 years in 4 studies: Cardiovascular Health Study, Health, Aging, and Body Composition Study, Multi-Ethnic Study of Atherosclerosis, and Prevention of Renal and Vascular End-Stage Disease cohort.

RESULTS: Hypertension and low high-density lipoprotein (HDL) cholesterol were associated with reduced cystatin C-based estimated glomerular filtration rate (eGFR) across the age spectrum. In adjusted analyses, hypertension was associated with a 2.3 (95\% confidence interval [CI], 0.1, 4.4), 5.1 (95\% CI, 4.1, 6.1), and 6.9 (95\%~CI, 3.0, 10.4) mL/min/1.73 m(2) lower eGFR in participants 40 to 59, 60 to 79, and at least 80~years, respectively (P for interaction < .001). The association of low HDL cholesterol with reduced kidney function was also greater in the older age groups: 4.9 (95\% CI, 3.5, 6.3), 7.1 (95\% CI, 6.0, 8.3), 8.9 (95\% CI, 5.4, 11.9) mL/min/1.73 m(2) (P for interaction < .001). Smoking and obesity were associated with reduced kidney function in participants under 80 years. All estimates of the potential population impact of the risk factors were modest.

CONCLUSIONS: Hypertension, obesity, smoking, and low HDL cholesterol are modestly associated with reduced kidney function in nondiabetics. The associations of hypertension and HDL cholesterol with reduced kidney function seem to be stronger in older adults.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Aging, Causality, Cholesterol, LDL, Cohort Studies, Comorbidity, Cross-Sectional Studies, Cystatin C, Female, Humans, Hypertension, Kidney Function Tests, Male, Netherlands, Obesity, Prevalence, Renal Insufficiency, Chronic, Risk Factors, Smoking, United States}, issn = {1873-2585}, doi = {10.1016/j.annepidem.2012.12.004}, author = {Odden, Michelle C and Tager, Ira B and Gansevoort, Ron T and Bakker, Stephan J L and Fried, Linda F and Newman, Anne B and Katz, Ronit and Satterfield, Suzanne and Harris, Tamara B and Sarnak, Mark J and Siscovick, David and Shlipak, Michael G} } @article {8015, title = {Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Jun}, pages = {621-31}, abstract = {

Elevated resting heart rate is associated with greater risk of cardiovascular disease and mortality. In a 2-stage meta-analysis of genome-wide association studies in up to 181,171 individuals, we identified 14 new loci associated with heart rate and confirmed associations with all 7 previously established loci. Experimental downregulation of gene expression in Drosophila melanogaster and Danio rerio identified 20 genes at 11 loci that are relevant for heart rate regulation and highlight a role for genes involved in signal transmission, embryonic cardiac development and the pathophysiology of dilated cardiomyopathy, congenital heart failure and/or sudden cardiac death. In addition, genetic susceptibility to increased heart rate is associated with altered cardiac conduction and reduced risk of sick sinus syndrome, and both heart rate-increasing and heart rate-decreasing variants associate with risk of atrial fibrillation. Our findings provide fresh insights into the mechanisms regulating heart rate and identify new therapeutic targets.

}, keywords = {Animals, Arrhythmias, Cardiac, Gene Frequency, Genetic Loci, Genome-Wide Association Study, Heart Conduction System, Heart Rate, Humans, Metabolic Networks and Pathways, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1546-1718}, doi = {10.1038/ng.2610}, author = {den Hoed, Marcel and Eijgelsheim, Mark and Esko, T{\~o}nu and Brundel, Bianca J J M and Peal, David S and Evans, David M and Nolte, Ilja M and Segr{\`e}, Ayellet V and Holm, Hilma and Handsaker, Robert E and Westra, Harm-Jan and Johnson, Toby and Isaacs, Aaron and Yang, Jian and Lundby, Alicia and Zhao, Jing Hua and Kim, Young Jin and Go, Min Jin and Almgren, Peter and Bochud, Murielle and Boucher, Gabrielle and Cornelis, Marilyn C and Gudbjartsson, Daniel and Hadley, David and van der Harst, Pim and Hayward, Caroline and den Heijer, Martin and Igl, Wilmar and Jackson, Anne U and Kutalik, Zolt{\'a}n and Luan, Jian{\textquoteright}an and Kemp, John P and Kristiansson, Kati and Ladenvall, Claes and Lorentzon, Mattias and Montasser, May E and Njajou, Omer T and O{\textquoteright}Reilly, Paul F and Padmanabhan, Sandosh and St Pourcain, Beate and Rankinen, Tuomo and Salo, Perttu and Tanaka, Toshiko and Timpson, Nicholas J and Vitart, Veronique and Waite, Lindsay and Wheeler, William and Zhang, Weihua and Draisma, Harmen H M and Feitosa, Mary F and Kerr, Kathleen F and Lind, Penelope A and Mihailov, Evelin and Onland-Moret, N Charlotte and Song, Ci and Weedon, Michael N and Xie, Weijia and Yengo, Loic and Absher, Devin and Albert, Christine M and Alonso, Alvaro and Arking, Dan E and de Bakker, Paul I W and Balkau, Beverley and Barlassina, Cristina and Benaglio, Paola and Bis, Joshua C and Bouatia-Naji, Nabila and Brage, S{\o}ren and Chanock, Stephen J and Chines, Peter S and Chung, Mina and Darbar, Dawood and Dina, Christian and D{\"o}rr, Marcus and Elliott, Paul and Felix, Stephan B and Fischer, Krista and Fuchsberger, Christian and de Geus, Eco J C and Goyette, Philippe and Gudnason, Vilmundur and Harris, Tamara B and Hartikainen, Anna-Liisa and Havulinna, Aki S and Heckbert, Susan R and Hicks, Andrew A and Hofman, Albert and Holewijn, Suzanne and Hoogstra-Berends, Femke and Hottenga, Jouke-Jan and Jensen, Majken K and Johansson, Asa and Junttila, Juhani and K{\"a}{\"a}b, Stefan and Kanon, Bart and Ketkar, Shamika and Khaw, Kay-Tee and Knowles, Joshua W and Kooner, Angrad S and Kors, Jan A and Kumari, Meena and Milani, Lili and Laiho, P{\"a}ivi and Lakatta, Edward G and Langenberg, Claudia and Leusink, Maarten and Liu, Yongmei and Luben, Robert N and Lunetta, Kathryn L and Lynch, Stacey N and Markus, Marcello R P and Marques-Vidal, Pedro and Mateo Leach, Irene and McArdle, Wendy L and McCarroll, Steven A and Medland, Sarah E and Miller, Kathryn A and Montgomery, Grant W and Morrison, Alanna C and M{\"u}ller-Nurasyid, Martina and Navarro, Pau and Nelis, Mari and O{\textquoteright}Connell, Jeffrey R and O{\textquoteright}Donnell, Christopher J and Ong, Ken K and Newman, Anne B and Peters, Annette and Polasek, Ozren and Pouta, Anneli and Pramstaller, Peter P and Psaty, Bruce M and Rao, Dabeeru C and Ring, Susan M and Rossin, Elizabeth J and Rudan, Diana and Sanna, Serena and Scott, Robert A and Sehmi, Jaban S and Sharp, Stephen and Shin, Jordan T and Singleton, Andrew B and Smith, Albert V and Soranzo, Nicole and Spector, Tim D and Stewart, Chip and Stringham, Heather M and Tarasov, Kirill V and Uitterlinden, Andr{\'e} G and Vandenput, Liesbeth and Hwang, Shih-Jen and Whitfield, John B and Wijmenga, Cisca and Wild, Sarah H and Willemsen, Gonneke and Wilson, James F and Witteman, Jacqueline C M and Wong, Andrew and Wong, Quenna and Jamshidi, Yalda and Zitting, Paavo and Boer, Jolanda M A and Boomsma, Dorret I and Borecki, Ingrid B and van Duijn, Cornelia M and Ekelund, Ulf and Forouhi, Nita G and Froguel, Philippe and Hingorani, Aroon and Ingelsson, Erik and Kivimaki, Mika and Kronmal, Richard A and Kuh, Diana and Lind, Lars and Martin, Nicholas G and Oostra, Ben A and Pedersen, Nancy L and Quertermous, Thomas and Rotter, Jerome I and van der Schouw, Yvonne T and Verschuren, W M Monique and Walker, Mark and Albanes, Demetrius and Arnar, David O and Assimes, Themistocles L and Bandinelli, Stefania and Boehnke, Michael and de Boer, Rudolf A and Bouchard, Claude and Caulfield, W L Mark and Chambers, John C and Curhan, Gary and Cusi, Daniele and Eriksson, Johan and Ferrucci, Luigi and van Gilst, Wiek H and Glorioso, Nicola and de Graaf, Jacqueline and Groop, Leif and Gyllensten, Ulf and Hsueh, Wen-Chi and Hu, Frank B and Huikuri, Heikki V and Hunter, David J and Iribarren, Carlos and Isomaa, Bo and Jarvelin, Marjo-Riitta and Jula, Antti and K{\"a}h{\"o}nen, Mika and Kiemeney, Lambertus A and van der Klauw, Melanie M and Kooner, Jaspal S and Kraft, Peter and Iacoviello, Licia and Lehtim{\"a}ki, Terho and Lokki, Marja-Liisa L and Mitchell, Braxton D and Navis, Gerjan and Nieminen, Markku S and Ohlsson, Claes and Poulter, Neil R and Qi, Lu and Raitakari, Olli T and Rimm, Eric B and Rioux, John D and Rizzi, Federica and Rudan, Igor and Salomaa, Veikko and Sever, Peter S and Shields, Denis C and Shuldiner, Alan R and Sinisalo, Juha and Stanton, Alice V and Stolk, Ronald P and Strachan, David P and Tardif, Jean-Claude and Thorsteinsdottir, Unnur and Tuomilehto, Jaako and van Veldhuisen, Dirk J and Virtamo, Jarmo and Viikari, Jorma and Vollenweider, Peter and Waeber, G{\'e}rard and Widen, Elisabeth and Cho, Yoon Shin and Olsen, Jesper V and Visscher, Peter M and Willer, Cristen and Franke, Lude and Erdmann, Jeanette and Thompson, John R and Pfeufer, Arne and Sotoodehnia, Nona and Newton-Cheh, Christopher and Ellinor, Patrick T and Stricker, Bruno H Ch and Metspalu, Andres and Perola, Markus and Beckmann, Jacques S and Smith, George Davey and Stefansson, Kari and Wareham, Nicholas J and Munroe, Patricia B and Sibon, Ody C M and Milan, David J and Snieder, Harold and Samani, Nilesh J and Loos, Ruth J F} } @article {6136, title = {Kidney function and prevalent and incident frailty.}, journal = {Clin J Am Soc Nephrol}, volume = {8}, year = {2013}, month = {2013 Dec}, pages = {2091-9}, abstract = {

BACKGROUND AND OBJECTIVES: Kidney disease is associated with physiologic changes that may predispose to frailty. This study sought to investigate whether lower levels of kidney function were associated with prevalent or incident frailty in Cardiovascular Health Study (CHS) participants.

DESIGN, SETTING, PARTICIPANTS, \& MEASUREMENTS: CHS enrolled community-dwelling adults age >=65 years between 1989-1990 and 1992-1993. To examine prevalent frailty, included were 4150 participants without stroke, Parkinson disease, prescribed medications for Alzheimer disease or depression, or severely impaired cognition. To examine incident frailty, included were a subset of 3459 participants without baseline frailty or development of exclusion criteria during follow-up. The primary predictor was estimated GFR (eGFR) calculated using serum cystatin C (eGFR(cys)). Secondary analyses examined eGFR using serum creatinine (eGFR(SCr)). Outcomes were prevalent frailty and incident frailty at 4 years of follow-up. Frailty was ascertained on the basis of weight loss, exhaustion, weakness, slowness, and low physical activity.

RESULTS: The mean age was 75 years and the median eGFR(cys) was 73 ml/min per 1.73 m(2). Among participants with an eGFR(cys) <45 ml/min per 1.73 m(2), 24\% had prevalent frailty. In multivariable analysis and compared with eGFR(cys) >=90 ml/min per 1.73 m(2), eGFR(cys) categories of 45-59 (odds ratio [OR], 1.80; 95\% confidence interval [CI], 1.17 to 2.75) and 15-44 (OR, 2.87; 95\% CI, 1.72 to 4.77) were associated with higher odds of frailty, whereas 60-75 (OR, 1.14; 95\% CI, 0.76 to 1.70) was not. In multivariable analysis, eGFR(cys) categories of 60-75 (incidence rate ratio [IRR], 1.72; 95\% CI, 1.07 to 2.75) and 15-44 (IRR, 2.28; 95\% CI, 1.23 to 4.22) were associated with higher incidence of frailty whereas 45-59 (IRR, 1.53; 95\% CI, 0.90 to 2.60) was not. Lower levels of eGFR(SCr) were not associated with higher risk of prevalent or incident frailty.

CONCLUSIONS: In community-dwelling elders, lower eGFR(cys) was associated with a higher risk of prevalent and incident frailty whereas lower eGFR(SCr) was not. These findings highlight the importance of considering non-GFR determinants of kidney function.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Aging, Biomarkers, Creatinine, Cross-Sectional Studies, Cystatin C, Fatigue, Female, Frail Elderly, Geriatric Assessment, Glomerular Filtration Rate, Humans, Incidence, Independent Living, Kidney, Kidney Diseases, Logistic Models, Male, Motor Activity, Multivariate Analysis, Muscle Weakness, Odds Ratio, Phenotype, Prevalence, Prospective Studies, Risk Factors, Time Factors, United States, Weight Loss}, issn = {1555-905X}, doi = {10.2215/CJN.02870313}, author = {Dalrymple, Lorien S and Katz, Ronit and Rifkin, Dena E and Siscovick, David and Newman, Anne B and Fried, Linda F and Sarnak, Mark J and Odden, Michelle C and Shlipak, Michael G} } @article {6281, title = {Lipoprotein receptor-related protein 1 variants and dietary fatty acids: meta-analysis of European origin and African American studies.}, journal = {Int J Obes (Lond)}, volume = {37}, year = {2013}, month = {2013 Sep}, pages = {1211-20}, abstract = {

OBJECTIVE: Low-density lipoprotein-related receptor protein 1 (LRP1) is a multi-functional endocytic receptor and signaling molecule that is expressed in adipose and the hypothalamus. Evidence for a role of LRP1 in adiposity is accumulating from animal and in vitro models, but data from human studies are limited. The study objectives were to evaluate (i) relationships between LRP1 genotype and anthropometric traits, and (ii) whether these relationships were modified by dietary fatty acids.

DESIGN AND METHODS: We conducted race/ethnic-specific meta-analyses using data from 14 studies of US and European whites and 4 of African Americans to evaluate associations of dietary fatty acids and LRP1 genotypes with body mass index (BMI), waist circumference and hip circumference, as well as interactions between dietary fatty acids and LRP1 genotypes. Seven single-nucleotide polymorphisms (SNPs) of LRP1 were evaluated in whites (N up to 42 000) and twelve SNPs in African Americans (N up to 5800).

RESULTS: After adjustment for age, sex and population substructure if relevant, for each one unit greater intake of percentage of energy from saturated fat (SFA), BMI was 0.104 kg m(-2) greater, waist was 0.305 cm larger and hip was 0.168 cm larger (all P<0.0001). Other fatty acids were not associated with outcomes. The association of SFA with outcomes varied by genotype at rs2306692 (genotyped in four studies of whites), where the magnitude of the association of SFA intake with each outcome was greater per additional copy of the T allele: 0.107 kg m(-2) greater for BMI (interaction P=0.0001), 0.267 cm for waist (interaction P=0.001) and 0.21 cm for hip (interaction P=0.001). No other significant interactions were observed.

CONCLUSION: Dietary SFA and LRP1 genotype may interactively influence anthropometric traits. Further exploration of this, and other diet x genotype interactions, may improve understanding of interindividual variability in the relationships of dietary factors with anthropometric traits.

}, keywords = {Adipose Tissue, Adult, African Continental Ancestry Group, Aged, Aged, 80 and over, Body Mass Index, Europe, European Continental Ancestry Group, Fatty Acids, Female, Gene Frequency, Gene-Environment Interaction, Genetic Predisposition to Disease, Genotype, Humans, Low Density Lipoprotein Receptor-Related Protein-1, Male, Middle Aged, Obesity, Phenotype, Polymorphism, Single Nucleotide, Prevalence, United States}, issn = {1476-5497}, doi = {10.1038/ijo.2012.215}, author = {Smith, C E and Ngwa, J and Tanaka, T and Qi, Q and Wojczynski, M K and Lemaitre, R N and Anderson, J S and Manichaikul, A and Mikkil{\"a}, V and van Rooij, F J A and Ye, Z and Bandinelli, S and Frazier-Wood, A C and Houston, D K and Hu, F and Langenberg, C and McKeown, N M and Mozaffarian, D and North, K E and Viikari, J and Zillikens, M C and Djouss{\'e}, L and Hofman, A and K{\"a}h{\"o}nen, M and Kabagambe, E K and Loos, R J F and Saylor, G B and Forouhi, N G and Liu, Y and Mukamal, K J and Chen, Y-D I and Tsai, M Y and Uitterlinden, A G and Raitakari, O and van Duijn, C M and Arnett, D K and Borecki, I B and Cupples, L A and Ferrucci, L and Kritchevsky, S B and Lehtim{\"a}ki, T and Qi, Lu and Rotter, J I and Siscovick, D S and Wareham, N J and Witteman, J C M and Ordov{\'a}s, J M and Nettleton, J A} } @article {6078, title = {A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Jun}, pages = {690-6}, abstract = {

Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one new locus at 5q33 (GALNT10, rs7708584, P = 3.4 {\texttimes} 10(-11)) and another at 7p15 when we included data from the GIANT consortium (MIR148A-NFE2L3, rs10261878, P = 1.2 {\texttimes} 10(-10)). We also found suggestive evidence of an association at a third locus at 6q16 in the African-ancestry sample (KLHL32, rs974417, P = 6.9 {\texttimes} 10(-8)). Thirty-two of the 36 previously established BMI variants showed directionally consistent effect estimates in our GWAS (binomial P = 9.7 {\texttimes} 10(-7)), five of which reached genome-wide significance. These findings provide strong support for shared BMI loci across populations, as well as for the utility of studying ancestrally diverse populations.

}, keywords = {African Americans, Body Mass Index, Case-Control Studies, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Obesity, Polymorphism, Single Nucleotide}, issn = {1546-1718}, doi = {10.1038/ng.2608}, author = {Monda, Keri L and Chen, Gary K and Taylor, Kira C and Palmer, Cameron and Edwards, Todd L and Lange, Leslie A and Ng, Maggie C Y and Adeyemo, Adebowale A and Allison, Matthew A and Bielak, Lawrence F and Chen, Guanjie and Graff, Mariaelisa and Irvin, Marguerite R and Rhie, Suhn K and Li, Guo and Liu, Yongmei and Liu, Youfang and Lu, Yingchang and Nalls, Michael A and Sun, Yan V and Wojczynski, Mary K and Yanek, Lisa R and Aldrich, Melinda C and Ademola, Adeyinka and Amos, Christopher I and Bandera, Elisa V and Bock, Cathryn H and Britton, Angela and Broeckel, Ulrich and Cai, Quiyin and Caporaso, Neil E and Carlson, Chris S and Carpten, John and Casey, Graham and Chen, Wei-Min and Chen, Fang and Chen, Yii-der I and Chiang, Charleston W K and Coetzee, Gerhard A and Demerath, Ellen and Deming-Halverson, Sandra L and Driver, Ryan W and Dubbert, Patricia and Feitosa, Mary F and Feng, Ye and Freedman, Barry I and Gillanders, Elizabeth M and Gottesman, Omri and Guo, Xiuqing and Haritunians, Talin and Harris, Tamara and Harris, Curtis C and Hennis, Anselm J M and Hernandez, Dena G and McNeill, Lorna H and Howard, Timothy D and Howard, Barbara V and Howard, Virginia J and Johnson, Karen C and Kang, Sun J and Keating, Brendan J and Kolb, Suzanne and Kuller, Lewis H and Kutlar, Abdullah and Langefeld, Carl D and Lettre, Guillaume and Lohman, Kurt and Lotay, Vaneet and Lyon, Helen and Manson, JoAnn E and Maixner, William and Meng, Yan A and Monroe, Kristine R and Morhason-Bello, Imran and Murphy, Adam B and Mychaleckyj, Josyf C and Nadukuru, Rajiv and Nathanson, Katherine L and Nayak, Uma and N{\textquoteright}diaye, Amidou and Nemesure, Barbara and Wu, Suh-Yuh and Leske, M Cristina and Neslund-Dudas, Christine and Neuhouser, Marian and Nyante, Sarah and Ochs-Balcom, Heather and Ogunniyi, Adesola and Ogundiran, Temidayo O and Ojengbede, Oladosu and Olopade, Olufunmilayo I and Palmer, Julie R and Ruiz-Narvaez, Edward A and Palmer, Nicholette D and Press, Michael F and Rampersaud, Evandine and Rasmussen-Torvik, Laura J and Rodriguez-Gil, Jorge L and Salako, Babatunde and Schadt, Eric E and Schwartz, Ann G and Shriner, Daniel A and Siscovick, David and Smith, Shad B and Wassertheil-Smoller, Sylvia and Speliotes, Elizabeth K and Spitz, Margaret R and Sucheston, Lara and Taylor, Herman and Tayo, Bamidele O and Tucker, Margaret A and Van Den Berg, David J and Edwards, Digna R Velez and Wang, Zhaoming and Wiencke, John K and Winkler, Thomas W and Witte, John S and Wrensch, Margaret and Wu, Xifeng and Yang, James J and Levin, Albert M and Young, Taylor R and Zakai, Neil A and Cushman, Mary and Zanetti, Krista A and Zhao, Jing Hua and Zhao, Wei and Zheng, Yonglan and Zhou, Jie and Ziegler, Regina G and Zmuda, Joseph M and Fernandes, Jyotika K and Gilkeson, Gary S and Kamen, Diane L and Hunt, Kelly J and Spruill, Ida J and Ambrosone, Christine B and Ambs, Stefan and Arnett, Donna K and Atwood, Larry and Becker, Diane M and Berndt, Sonja I and Bernstein, Leslie and Blot, William J and Borecki, Ingrid B and Bottinger, Erwin P and Bowden, Donald W and Burke, Gregory and Chanock, Stephen J and Cooper, Richard S and Ding, Jingzhong and Duggan, David and Evans, Michele K and Fox, Caroline and Garvey, W Timothy and Bradfield, Jonathan P and Hakonarson, Hakon and Grant, Struan F A and Hsing, Ann and Chu, Lisa and Hu, Jennifer J and Huo, Dezheng and Ingles, Sue A and John, Esther M and Jordan, Joanne M and Kabagambe, Edmond K and Kardia, Sharon L R and Kittles, Rick A and Goodman, Phyllis J and Klein, Eric A and Kolonel, Laurence N and Le Marchand, Lo{\"\i}c and Liu, Simin and McKnight, Barbara and Millikan, Robert C and Mosley, Thomas H and Padhukasahasram, Badri and Williams, L Keoki and Patel, Sanjay R and Peters, Ulrike and Pettaway, Curtis A and Peyser, Patricia A and Psaty, Bruce M and Redline, Susan and Rotimi, Charles N and Rybicki, Benjamin A and Sale, Mich{\`e}le M and Schreiner, Pamela J and Signorello, Lisa B and Singleton, Andrew B and Stanford, Janet L and Strom, Sara S and Thun, Michael J and Vitolins, Mara and Zheng, Wei and Moore, Jason H and Williams, Scott M and Ketkar, Shamika and Zhu, Xiaofeng and Zonderman, Alan B and Kooperberg, Charles and Papanicolaou, George J and Henderson, Brian E and Reiner, Alex P and Hirschhorn, Joel N and Loos, Ruth J F and North, Kari E and Haiman, Christopher A} } @article {6156, title = {Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer{\textquoteright}s disease.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Dec}, pages = {1452-8}, abstract = {

Eleven susceptibility loci for late-onset Alzheimer{\textquoteright}s disease (LOAD) were identified by previous studies; however, a large portion of the genetic risk for this disease remains unexplained. We conducted a large, two-stage meta-analysis of genome-wide association studies (GWAS) in individuals of European ancestry. In stage 1, we used genotyped and imputed data (7,055,881 SNPs) to perform meta-analysis on 4 previously published GWAS data sets consisting of 17,008 Alzheimer{\textquoteright}s disease cases and 37,154 controls. In stage 2, 11,632 SNPs were genotyped and tested for association in an independent set of 8,572 Alzheimer{\textquoteright}s disease cases and 11,312 controls. In addition to the APOE locus (encoding apolipoprotein E), 19 loci reached genome-wide significance (P < 5 {\texttimes} 10(-8)) in the combined stage 1 and stage 2 analysis, of which 11 are newly associated with Alzheimer{\textquoteright}s disease.

}, keywords = {Age of Onset, Aged, Aged, 80 and over, Alzheimer Disease, Case-Control Studies, Cohort Studies, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1546-1718}, doi = {10.1038/ng.2802}, author = {Lambert, J C and Ibrahim-Verbaas, C A and Harold, D and Naj, A C and Sims, R and Bellenguez, C and DeStafano, A L and Bis, J C and Beecham, G W and Grenier-Boley, B and Russo, G and Thorton-Wells, T A and Jones, N and Smith, A V and Chouraki, V and Thomas, C and Ikram, M A and Zelenika, D and Vardarajan, B N and Kamatani, Y and Lin, C F and Gerrish, A and Schmidt, H and Kunkle, B and Dunstan, M L and Ruiz, A and Bihoreau, M T and Choi, S H and Reitz, C and Pasquier, F and Cruchaga, C and Craig, D and Amin, N and Berr, C and Lopez, O L and De Jager, P L and Deramecourt, V and Johnston, J A and Evans, D and Lovestone, S and Letenneur, L and Mor{\'o}n, F J and Rubinsztein, D C and Eiriksdottir, G and Sleegers, K and Goate, A M and Fi{\'e}vet, N and Huentelman, M W and Gill, M and Brown, K and Kamboh, M I and Keller, L and Barberger-Gateau, P and McGuiness, B and Larson, E B and Green, R and Myers, A J and Dufouil, C and Todd, S and Wallon, D and Love, S and Rogaeva, E and Gallacher, J and St George-Hyslop, P and Clarimon, J and Lleo, A and Bayer, A and Tsuang, D W and Yu, L and Tsolaki, M and Boss{\`u}, P and Spalletta, G and Proitsi, P and Collinge, J and Sorbi, S and Sanchez-Garcia, F and Fox, N C and Hardy, J and Deniz Naranjo, M C and Bosco, P and Clarke, R and Brayne, C and Galimberti, D and Mancuso, M and Matthews, F and Moebus, S and Mecocci, P and Del Zompo, M and Maier, W and Hampel, H and Pilotto, A and Bullido, M and Panza, F and Caffarra, P and Nacmias, B and Gilbert, J R and Mayhaus, M and Lannefelt, L and Hakonarson, H and Pichler, S and Carrasquillo, M M and Ingelsson, M and Beekly, D and Alvarez, V and Zou, F and Valladares, O and Younkin, S G and Coto, E and Hamilton-Nelson, K L and Gu, W and Razquin, C and Pastor, P and Mateo, I and Owen, M J and Faber, K M and Jonsson, P V and Combarros, O and O{\textquoteright}Donovan, M C and Cantwell, L B and Soininen, H and Blacker, D and Mead, S and Mosley, T H and Bennett, D A and Harris, T B and Fratiglioni, L and Holmes, C and de Bruijn, R F and Passmore, P and Montine, T J and Bettens, K and Rotter, J I and Brice, A and Morgan, K and Foroud, T M and Kukull, W A and Hannequin, D and Powell, J F and Nalls, M A and Ritchie, K and Lunetta, K L and Kauwe, J S and Boerwinkle, E and Riemenschneider, M and Boada, M and Hiltuenen, M and Martin, E R and Schmidt, R and Rujescu, D and Wang, L S and Dartigues, J F and Mayeux, R and Tzourio, C and Hofman, A and N{\"o}then, M M and Graff, C and Psaty, B M and Jones, L and Haines, J L and Holmans, P A and Lathrop, M and Pericak-Vance, M A and Launer, L J and Farrer, L A and van Duijn, C M and Van Broeckhoven, C and Moskvina, V and Seshadri, S and Williams, J and Schellenberg, G D and Amouyel, P} } @article {6291, title = {Meta-analysis of genome-wide association studies identifies six new Loci for serum calcium concentrations.}, journal = {PLoS Genet}, volume = {9}, year = {2013}, month = {2013}, pages = {e1003796}, abstract = {

Calcium is vital to the normal functioning of multiple organ systems and its serum concentration is tightly regulated. Apart from CASR, the genes associated with serum calcium are largely unknown. We conducted a genome-wide association meta-analysis of 39,400 individuals from 17 population-based cohorts and investigated the 14 most strongly associated loci in <= 21,679 additional individuals. Seven loci (six new regions) in association with serum calcium were identified and replicated. Rs1570669 near CYP24A1 (P = 9.1E-12), rs10491003 upstream of GATA3 (P = 4.8E-09) and rs7481584 in CARS (P = 1.2E-10) implicate regions involved in Mendelian calcemic disorders: Rs1550532 in DGKD (P = 8.2E-11), also associated with bone density, and rs7336933 near DGKH/KIAA0564 (P = 9.1E-10) are near genes that encode distinct isoforms of diacylglycerol kinase. Rs780094 is in GCKR. We characterized the expression of these genes in gut, kidney, and bone, and demonstrate modulation of gene expression in bone in response to dietary calcium in mice. Our results shed new light on the genetics of calcium homeostasis.

}, keywords = {Animals, Bone and Bones, Bone Density, Calcium, European Continental Ancestry Group, Gene Expression Regulation, Genome-Wide Association Study, Homeostasis, Humans, Kidney, Mice, Polymorphism, Single Nucleotide}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003796}, author = {O{\textquoteright}Seaghdha, Conall M and Wu, Hongsheng and Yang, Qiong and Kapur, Karen and Guessous, Idris and Zuber, Annie Mercier and K{\"o}ttgen, Anna and Stoudmann, Candice and Teumer, Alexander and Kutalik, Zolt{\'a}n and Mangino, Massimo and Dehghan, Abbas and Zhang, Weihua and Eiriksdottir, Gudny and Li, Guo and Tanaka, Toshiko and Portas, Laura and Lopez, Lorna M and Hayward, Caroline and Lohman, Kurt and Matsuda, Koichi and Padmanabhan, Sandosh and Firsov, Dmitri and Sorice, Rossella and Ulivi, Sheila and Brockhaus, A Catharina and Kleber, Marcus E and Mahajan, Anubha and Ernst, Florian D and Gudnason, Vilmundur and Launer, Lenore J and Mace, Aurelien and Boerwinckle, Eric and Arking, Dan E and Tanikawa, Chizu and Nakamura, Yusuke and Brown, Morris J and Gaspoz, Jean-Michel and Theler, Jean-Marc and Siscovick, David S and Psaty, Bruce M and Bergmann, Sven and Vollenweider, Peter and Vitart, Veronique and Wright, Alan F and Zemunik, Tatijana and Boban, Mladen and Kolcic, Ivana and Navarro, Pau and Brown, Edward M and Estrada, Karol and Ding, Jingzhong and Harris, Tamara B and Bandinelli, Stefania and Hernandez, Dena and Singleton, Andrew B and Girotto, Giorgia and Ruggiero, Daniela and d{\textquoteright}Adamo, Adamo Pio and Robino, Antonietta and Meitinger, Thomas and Meisinger, Christa and Davies, Gail and Starr, John M and Chambers, John C and Boehm, Bernhard O and Winkelmann, Bernhard R and Huang, Jie and Murgia, Federico and Wild, Sarah H and Campbell, Harry and Morris, Andrew P and Franco, Oscar H and Hofman, Albert and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and V{\"o}lker, Uwe and Hannemann, Anke and Biffar, Reiner and Hoffmann, Wolfgang and Shin, So-Youn and Lescuyer, Pierre and Henry, Hughes and Schurmann, Claudia and Munroe, Patricia B and Gasparini, Paolo and Pirastu, Nicola and Ciullo, Marina and Gieger, Christian and M{\"a}rz, Winfried and Lind, Lars and Spector, Tim D and Smith, Albert V and Rudan, Igor and Wilson, James F and Polasek, Ozren and Deary, Ian J and Pirastu, Mario and Ferrucci, Luigi and Liu, Yongmei and Kestenbaum, Bryan and Kooner, Jaspal S and Witteman, Jacqueline C M and Nauck, Matthias and Kao, W H Linda and Wallaschofski, Henri and Bonny, Olivier and Fox, Caroline S and Bochud, Murielle} } @article {5877, title = {A meta-analysis of thyroid-related traits reveals novel loci and gender-specific differences in the regulation of thyroid function.}, journal = {PLoS Genet}, volume = {9}, year = {2013}, month = {2013}, pages = {e1003266}, abstract = {

Thyroid hormone is essential for normal metabolism and development, and overt abnormalities in thyroid function lead to common endocrine disorders affecting approximately 10\% of individuals over their life span. In addition, even mild alterations in thyroid function are associated with weight changes, atrial fibrillation, osteoporosis, and psychiatric disorders. To identify novel variants underlying thyroid function, we performed a large meta-analysis of genome-wide association studies for serum levels of the highly heritable thyroid function markers TSH and FT4, in up to 26,420 and 17,520 euthyroid subjects, respectively. Here we report 26 independent associations, including several novel loci for TSH (PDE10A, VEGFA, IGFBP5, NFIA, SOX9, PRDM11, FGF7, INSR, ABO, MIR1179, NRG1, MBIP, ITPK1, SASH1, GLIS3) and FT4 (LHX3, FOXE1, AADAT, NETO1/FBXO15, LPCAT2/CAPNS2). Notably, only limited overlap was detected between TSH and FT4 associated signals, in spite of the feedback regulation of their circulating levels by the hypothalamic-pituitary-thyroid axis. Five of the reported loci (PDE8B, PDE10A, MAF/LOC440389, NETO1/FBXO15, and LPCAT2/CAPNS2) show strong gender-specific differences, which offer clues for the known sexual dimorphism in thyroid function and related pathologies. Importantly, the TSH-associated loci contribute not only to variation within the normal range, but also to TSH values outside the reference range, suggesting that they may be involved in thyroid dysfunction. Overall, our findings explain, respectively, 5.64\% and 2.30\% of total TSH and FT4 trait variance, and they improve the current knowledge of the regulation of hypothalamic-pituitary-thyroid axis function and the consequences of genetic variation for hypo- or hyperthyroidism.

}, keywords = {Female, Genome-Wide Association Study, Humans, Hyperthyroidism, Hypothyroidism, Male, Phenotype, Polymorphism, Genetic, Polymorphism, Single Nucleotide, Sex Characteristics, Signal Transduction, Thyroid Gland, Thyrotropin, Thyroxine}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003266}, author = {Porcu, Eleonora and Medici, Marco and Pistis, Giorgio and Volpato, Claudia B and Wilson, Scott G and Cappola, Anne R and Bos, Steffan D and Deelen, Joris and den Heijer, Martin and Freathy, Rachel M and Lahti, Jari and Liu, Chunyu and Lopez, Lorna M and Nolte, Ilja M and O{\textquoteright}Connell, Jeffrey R and Tanaka, Toshiko and Trompet, Stella and Arnold, Alice and Bandinelli, Stefania and Beekman, Marian and B{\"o}hringer, Stefan and Brown, Suzanne J and Buckley, Brendan M and Camaschella, Clara and de Craen, Anton J M and Davies, Gail and de Visser, Marieke C H and Ford, Ian and Forsen, Tom and Frayling, Timothy M and Fugazzola, Laura and G{\"o}gele, Martin and Hattersley, Andrew T and Hermus, Ad R and Hofman, Albert and Houwing-Duistermaat, Jeanine J and Jensen, Richard A and Kajantie, Eero and Kloppenburg, Margreet and Lim, Ee M and Masciullo, Corrado and Mariotti, Stefano and Minelli, Cosetta and Mitchell, Braxton D and Nagaraja, Ramaiah and Netea-Maier, Romana T and Palotie, Aarno and Persani, Luca and Piras, Maria G and Psaty, Bruce M and R{\"a}ikk{\"o}nen, Katri and Richards, J Brent and Rivadeneira, Fernando and Sala, Cinzia and Sabra, Mona M and Sattar, Naveed and Shields, Beverley M and Soranzo, Nicole and Starr, John M and Stott, David J and Sweep, Fred C G J and Usala, Gianluca and van der Klauw, Melanie M and van Heemst, Diana and van Mullem, Alies and Vermeulen, Sita H and Visser, W Edward and Walsh, John P and Westendorp, Rudi G J and Widen, Elisabeth and Zhai, Guangju and Cucca, Francesco and Deary, Ian J and Eriksson, Johan G and Ferrucci, Luigi and Fox, Caroline S and Jukema, J Wouter and Kiemeney, Lambertus A and Pramstaller, Peter P and Schlessinger, David and Shuldiner, Alan R and Slagboom, Eline P and Uitterlinden, Andr{\'e} G and Vaidya, Bijay and Visser, Theo J and Wolffenbuttel, Bruce H R and Meulenbelt, Ingrid and Rotter, Jerome I and Spector, Tim D and Hicks, Andrew A and Toniolo, Daniela and Sanna, Serena and Peeters, Robin P and Naitza, Silvia} } @article {6155, title = {Multiethnic meta-analysis of genome-wide association studies in >100 000 subjects identifies 23 fibrinogen-associated Loci but no strong evidence of a causal association between circulating fibrinogen and cardiovascular disease.}, journal = {Circulation}, volume = {128}, year = {2013}, month = {2013 Sep 17}, pages = {1310-24}, abstract = {

BACKGROUND: Estimates of the heritability of plasma fibrinogen concentration, an established predictor of cardiovascular disease, range from 34\% to 50\%. Genetic variants so far identified by genome-wide association studies explain only a small proportion (<2\%) of its variation.

METHODS AND RESULTS: We conducted a meta-analysis of 28 genome-wide association studies including >90 000 subjects of European ancestry, the first genome-wide association meta-analysis of fibrinogen levels in 7 studies in blacks totaling 8289 samples, and a genome-wide association study in Hispanics totaling 1366 samples. Evaluation for association of single-nucleotide polymorphisms with clinical outcomes included a total of 40 695 cases and 85 582 controls for coronary artery disease, 4752 cases and 24 030 controls for stroke, and 3208 cases and 46 167 controls for venous thromboembolism. Overall, we identified 24 genome-wide significant (P<5{\texttimes}10(-8)) independent signals in 23 loci, including 15 novel associations, together accounting for 3.7\% of plasma fibrinogen variation. Gene-set enrichment analysis highlighted key roles in fibrinogen regulation for the 3 structural fibrinogen genes and pathways related to inflammation, adipocytokines, and thyrotrophin-releasing hormone signaling. Whereas lead single-nucleotide polymorphisms in a few loci were significantly associated with coronary artery disease, the combined effect of all 24 fibrinogen-associated lead single-nucleotide polymorphisms was not significant for coronary artery disease, stroke, or venous thromboembolism.

CONCLUSIONS: We identify 23 robustly associated fibrinogen loci, 15 of which are new. Clinical outcome analysis of these loci does not support a causal relationship between circulating levels of fibrinogen and coronary artery disease, stroke, or venous thromboembolism.

}, keywords = {Adolescent, Adult, African Continental Ancestry Group, Aged, Aged, 80 and over, Cardiovascular Diseases, Coronary Artery Disease, European Continental Ancestry Group, Female, Fibrinogen, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic Americans, Humans, Male, Middle Aged, Myocardial Infarction, Polymorphism, Single Nucleotide, Risk Factors, Stroke, Venous Thromboembolism, Young Adult}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.113.002251}, author = {Sabater-Lleal, Maria and Huang, Jie and Chasman, Daniel and Naitza, Silvia and Dehghan, Abbas and Johnson, Andrew D and Teumer, Alexander and Reiner, Alex P and Folkersen, Lasse and Basu, Saonli and Rudnicka, Alicja R and Trompet, Stella and M{\"a}larstig, Anders and Baumert, Jens and Bis, Joshua C and Guo, Xiuqing and Hottenga, Jouke J and Shin, So-Youn and Lopez, Lorna M and Lahti, Jari and Tanaka, Toshiko and Yanek, Lisa R and Oudot-Mellakh, Tiphaine and Wilson, James F and Navarro, Pau and Huffman, Jennifer E and Zemunik, Tatijana and Redline, Susan and Mehra, Reena and Pulanic, Drazen and Rudan, Igor and Wright, Alan F and Kolcic, Ivana and Polasek, Ozren and Wild, Sarah H and Campbell, Harry and Curb, J David and Wallace, Robert and Liu, Simin and Eaton, Charles B and Becker, Diane M and Becker, Lewis C and Bandinelli, Stefania and R{\"a}ikk{\"o}nen, Katri and Widen, Elisabeth and Palotie, Aarno and Fornage, Myriam and Green, David and Gross, Myron and Davies, Gail and Harris, Sarah E and Liewald, David C and Starr, John M and Williams, Frances M K and Grant, Peter J and Spector, Timothy D and Strawbridge, Rona J and Silveira, Angela and Sennblad, Bengt and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Hofman, Albert and van Dongen, Jenny and Willemsen, Gonneke and Boomsma, Dorret I and Yao, Jie and Swords Jenny, Nancy and Haritunians, Talin and McKnight, Barbara and Lumley, Thomas and Taylor, Kent D and Rotter, Jerome I and Psaty, Bruce M and Peters, Annette and Gieger, Christian and Illig, Thomas and Grotevendt, Anne and Homuth, Georg and V{\"o}lzke, Henry and Kocher, Thomas and Goel, Anuj and Franzosi, Maria Grazia and Seedorf, Udo and Clarke, Robert and Steri, Maristella and Tarasov, Kirill V and Sanna, Serena and Schlessinger, David and Stott, David J and Sattar, Naveed and Buckley, Brendan M and Rumley, Ann and Lowe, Gordon D and McArdle, Wendy L and Chen, Ming-Huei and Tofler, Geoffrey H and Song, Jaejoon and Boerwinkle, Eric and Folsom, Aaron R and Rose, Lynda M and Franco-Cereceda, Anders and Teichert, Martina and Ikram, M Arfan and Mosley, Thomas H and Bevan, Steve and Dichgans, Martin and Rothwell, Peter M and Sudlow, Cathie L M and Hopewell, Jemma C and Chambers, John C and Saleheen, Danish and Kooner, Jaspal S and Danesh, John and Nelson, Christopher P and Erdmann, Jeanette and Reilly, Muredach P and Kathiresan, Sekar and Schunkert, Heribert and Morange, Pierre-Emmanuel and Ferrucci, Luigi and Eriksson, Johan G and Jacobs, David and Deary, Ian J and Soranzo, Nicole and Witteman, Jacqueline C M and de Geus, Eco J C and Tracy, Russell P and Hayward, Caroline and Koenig, Wolfgang and Cucca, Francesco and Jukema, J Wouter and Eriksson, Per and Seshadri, Sudha and Markus, Hugh S and Watkins, Hugh and Samani, Nilesh J and Wallaschofski, Henri and Smith, Nicholas L and Tregouet, David and Ridker, Paul M and Tang, Weihong and Strachan, David P and Hamsten, Anders and O{\textquoteright}Donnell, Christopher J} } @article {5855, title = {Neighborhood socioeconomic disadvantage and mortality after stroke.}, journal = {Neurology}, volume = {80}, year = {2013}, month = {2013 Feb 05}, pages = {520-7}, chapter = {520}, abstract = {

OBJECTIVE: Residence in a socioeconomically disadvantaged community is associated with mortality, but the mechanisms are not well understood. We examined whether socioeconomic features of the residential neighborhood contribute to poststroke mortality and whether neighborhood influences are mediated by traditional behavioral and biologic risk factors.

METHODS: We used data from the Cardiovascular Health Study, a multicenter, population-based, longitudinal study of adults >=65 years. Residential neighborhood disadvantage was measured using neighborhood socioeconomic status (NSES), a composite of 6 census tract variables representing income, education, employment, and wealth. Multilevel Cox proportional hazard models were constructed to determine the association of NSES to mortality after an incident stroke, adjusted for sociodemographic characteristics, stroke type, and behavioral and biologic risk factors.

RESULTS: Among the 3,834 participants with no prior stroke at baseline, 806 had a stroke over a mean 11.5 years of follow-up, with 168 (20\%) deaths 30 days after stroke and 276 (34\%) deaths at 1 year. In models adjusted for demographic characteristics, stroke type, and behavioral and biologic risk factors, mortality hazard 1 year after stroke was significantly higher among residents of neighborhoods with the lowest NSES than those in the highest NSES neighborhoods (hazard ratio 1.77, 95\% confidence interval 1.17-2.68).

CONCLUSION: Living in a socioeconomically disadvantaged neighborhood is associated with higher mortality hazard at 1 year following an incident stroke. Further work is needed to understand the structural and social characteristics of neighborhoods that may contribute to mortality in the year after a stroke and the pathways through which these characteristics operate.

}, keywords = {Aged, Female, Humans, Incidence, Kaplan-Meier Estimate, Male, Proportional Hazards Models, Residence Characteristics, Risk Factors, Socioeconomic Factors, Stroke, Vulnerable Populations}, issn = {1526-632X}, doi = {10.1212/WNL.0b013e31828154ae}, author = {Brown, Arleen F and Liang, Li-Jung and Vassar, Stefanie D and Merkin, Sharon Stein and Longstreth, W T and Ovbiagele, Bruce and Yan, Tingjian and Escarce, Jos{\'e} J} } @article {6074, title = {Resequencing and clinical associations of the 9p21.3 region: a comprehensive investigation in the Framingham heart study.}, journal = {Circulation}, volume = {127}, year = {2013}, month = {2013 Feb 19}, pages = {799-810}, abstract = {

BACKGROUND: 9p21.3 is among the most strongly replicated regions for cardiovascular disease. There are few reports of sequencing the associated 9p21.3 interval. We set out to sequence the 9p21.3 region followed by a comprehensive study of genetic associations with clinical and subclinical cardiovascular disease and its risk factors, as well as with copy number variation and gene expression, in the Framingham Heart Study (FHS).

METHODS AND RESULTS: We sequenced 281 individuals (94 with myocardial infarction, 94 with high coronary artery calcium levels, and 93 control subjects free of elevated coronary artery calcium or myocardial infarction), followed by genotyping and association in >7000 additional FHS individuals. We assessed genetic associations with clinical and subclinical cardiovascular disease, risk factor phenotypes, and gene expression levels of the protein-coding genes CDKN2A and CDKN2B and the noncoding gene ANRIL in freshly harvested leukocytes and platelets. Within this large sample, we found strong associations of 9p21.3 variants with increased risk for myocardial infarction, higher coronary artery calcium levels, and larger abdominal aorta diameters and no evidence for association with traditional cardiovascular disease risk factors. No common protein-coding variation, variants in splice donor or acceptor sites, or copy number variation events were observed. By contrast, strong associations were observed between genetic variants and gene expression, particularly for a short isoform of ANRIL and for CDKN2B.

CONCLUSIONS: Our thorough genomic characterization of 9p21.3 suggests common variants likely account for observed disease associations and provides further support for the hypothesis that complex regulatory variation affecting ANRIL and CDKN2B gene expression may contribute to increased risk for clinically apparent and subclinical coronary artery disease and aortic disease.

}, keywords = {Calcinosis, Chromosomes, Human, Pair 9, Coronary Artery Disease, Cyclin-Dependent Kinase Inhibitor p15, Cyclin-Dependent Kinase Inhibitor p16, DNA Copy Number Variations, Female, Follow-Up Studies, Genetic Predisposition to Disease, Genotype, Humans, Longitudinal Studies, Male, Massachusetts, Middle Aged, Myocardial Infarction, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, RNA, Long Noncoding, Sequence Analysis, DNA}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.112.111559}, author = {Johnson, Andrew D and Hwang, Shih-Jen and Voorman, Arend and Morrison, Alanna and Peloso, Gina M and Hsu, Yi-Hsiang and Thanassoulis, George and Newton-Cheh, Christopher and Rogers, Ian S and Hoffmann, Udo and Freedman, Jane E and Fox, Caroline S and Psaty, Bruce M and Boerwinkle, Eric and Cupples, L Adrienne and O{\textquoteright}Donnell, Christopher J} } @article {6007, title = {Risk of venous thromboembolism associated with single and combined effects of Factor V Leiden, Prothrombin 20210A and Methylenetethraydrofolate reductase C677T: a meta-analysis involving over 11,000 cases and 21,000 controls.}, journal = {Eur J Epidemiol}, volume = {28}, year = {2013}, month = {2013 Aug}, pages = {621-47}, abstract = {

Genetic and environmental factors interact in determining the risk of venous thromboembolism (VTE). The risk associated with the polymorphic variants G1691A of factor V (Factor V Leiden, FVL), G20210A of prothrombin (PT20210A) and C677T of methylentetrahydrofolate reductase (C677T MTHFR) genes has been investigated in many studies. We performed a pooled analysis of case-control and cohort studies investigating in adults the association between each variant and VTE, published on Pubmed, Embase or Google through January 2010. Authors of eligible papers, were invited to provide all available individual data for the pooling. The Odds Ratio (OR) for first VTE associated with each variant, individually and combined with the others, were calculated with a random effect model, in heterozygotes and homozygotes (dominant model for FVL and PT20210A; recessive for C677T MTHFR). We analysed 31 databases, including 11,239 cases and 21,521 controls. No significant association with VTE was found for homozygous C677T MTHFR (OR: 1.38; 95~\% confidence intervals [CI]: 0.98-1.93), whereas the risk was increased in carriers of either heterozygous FVL or PT20210 (OR~=~4.22; 95~\% CI: 3.35-5.32; and OR~=~2.79;95~\% CI: 2.25-3.46, respectively), in double heterozygotes (OR~=~3.42; 95~\%CI 1.64-7.13), and in homozygous FVL or PT20210A (OR~=~11.45; 95~\%CI: 6.79-19.29; and OR: 6.74 (CI 95~\% 2.19-20.72), respectively). The stratified analyses showed a stronger effect of FVL on individuals~<=~45~years (p value for interaction~=~0.036) and of PT20210A in women using oral contraceptives (p-value for interaction~=~0.045). In this large pooled analysis, inclusive of large studies like MEGA, no effect was found for C677T MTHFR on VTE; FVL and PT20210A were confirmed to be moderate risk factors. Notably, double carriers of the two genetic variants produced an impact on VTE risk significantly increased but weaker than previously thought.

}, keywords = {Case-Control Studies, Factor V, Genetic Predisposition to Disease, Humans, Methylenetetrahydrofolate Reductase (NADPH2), Prothrombin, Risk Factors, Venous Thromboembolism}, issn = {1573-7284}, doi = {10.1007/s10654-013-9825-8}, author = {Simone, Benedetto and De Stefano, Valerio and Leoncini, Emanuele and Zacho, Jeppe and Martinelli, Ida and Emmerich, Joseph and Rossi, Elena and Folsom, Aaron R and Almawi, Wassim Y and Scarabin, Pierre Y and den Heijer, Martin and Cushman, Mary and Penco, Silvana and Vaya, Amparo and Angchaisuksiri, Pantep and Okumus, Gulfer and Gemmati, Donato and Cima, Simona and Akar, Nejat and Oguzulgen, Kivilcim I and Ducros, V{\'e}ronique and Lichy, Christoph and Fernandez-Miranda, Consuelo and Szczeklik, Andrzej and Nieto, Jos{\'e} A and Torres, Jose Domingo and Le Cam-Duchez, V{\'e}ronique and Ivanov, Petar and Cantu-Brito, Carlos and Shmeleva, Veronika M and Stegnar, Mojka and Ogunyemi, Dotun and Eid, Suhair S and Nicolotti, Nicola and De Feo, Emma and Ricciardi, Walter and Boccia, Stefania} } @article {6028, title = {Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits.}, journal = {PLoS Genet}, volume = {9}, year = {2013}, month = {2013 Jun}, pages = {e1003500}, abstract = {

Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals) and took forward 348 SNPs into follow-up (additional 137,052 individuals) in a total of 94 studies. Seven loci displayed significant sex-difference (FDR<5\%), including four previously established (near GRB14/COBLL1, LYPLAL1/SLC30A10, VEGFA, ADAMTS9) and three novel anthropometric trait loci (near MAP3K1, HSD17B4, PPARG), all of which were genome-wide significant in women (P<5{\texttimes}10(-8)), but not in men. Sex-differences were apparent only for waist phenotypes, not for height, weight, BMI, or hip circumference. Moreover, we found no evidence for genetic effects with opposite directions in men versus women. The PPARG locus is of specific interest due to its role in diabetes genetics and therapy. Our results demonstrate the value of sex-specific GWAS to unravel the sexually dimorphic genetic underpinning of complex traits.

}, keywords = {Anthropometry, Body Height, Body Mass Index, Body Weight, Body Weights and Measures, Female, Genetic Loci, Genome, Human, Genome-Wide Association Study, Humans, Male, Polymorphism, Single Nucleotide, Sex Characteristics, Waist Circumference, Waist-Hip Ratio}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003500}, author = {Randall, Joshua C and Winkler, Thomas W and Kutalik, Zolt{\'a}n and Berndt, Sonja I and Jackson, Anne U and Monda, Keri L and Kilpel{\"a}inen, Tuomas O and Esko, T{\~o}nu and M{\"a}gi, Reedik and Li, Shengxu and Workalemahu, Tsegaselassie and Feitosa, Mary F and Croteau-Chonka, Damien C and Day, Felix R and Fall, Tove and Ferreira, Teresa and Gustafsson, Stefan and Locke, Adam E and Mathieson, Iain and Scherag, Andre and Vedantam, Sailaja and Wood, Andrew R and Liang, Liming and Steinthorsdottir, Valgerdur and Thorleifsson, Gudmar and Dermitzakis, Emmanouil T and Dimas, Antigone S and Karpe, Fredrik and Min, Josine L and Nicholson, George and Clegg, Deborah J and Person, Thomas and Krohn, Jon P and Bauer, Sabrina and Buechler, Christa and Eisinger, Kristina and Bonnefond, Am{\'e}lie and Froguel, Philippe and Hottenga, Jouke-Jan and Prokopenko, Inga and Waite, Lindsay L and Harris, Tamara B and Smith, Albert Vernon and Shuldiner, Alan R and McArdle, Wendy L and Caulfield, Mark J and Munroe, Patricia B and Gr{\"o}nberg, Henrik and Chen, Yii-Der Ida and Li, Guo and Beckmann, Jacques S and Johnson, Toby and Thorsteinsdottir, Unnur and Teder-Laving, Maris and Khaw, Kay-Tee and Wareham, Nicholas J and Zhao, Jing Hua and Amin, Najaf and Oostra, Ben A and Kraja, Aldi T and Province, Michael A and Cupples, L Adrienne and Heard-Costa, Nancy L and Kaprio, Jaakko and Ripatti, Samuli and Surakka, Ida and Collins, Francis S and Saramies, Jouko and Tuomilehto, Jaakko and Jula, Antti and Salomaa, Veikko and Erdmann, Jeanette and Hengstenberg, Christian and Loley, Christina and Schunkert, Heribert and Lamina, Claudia and Wichmann, H Erich and Albrecht, Eva and Gieger, Christian and Hicks, Andrew A and Johansson, Asa and Pramstaller, Peter P and Kathiresan, Sekar and Speliotes, Elizabeth K and Penninx, Brenda and Hartikainen, Anna-Liisa and Jarvelin, Marjo-Riitta and Gyllensten, Ulf and Boomsma, Dorret I and Campbell, Harry and Wilson, James F and Chanock, Stephen J and Farrall, Martin and Goel, Anuj and Medina-G{\'o}mez, Carolina and Rivadeneira, Fernando and Estrada, Karol and Uitterlinden, Andr{\'e} G and Hofman, Albert and Zillikens, M Carola and den Heijer, Martin and Kiemeney, Lambertus A and Maschio, Andrea and Hall, Per and Tyrer, Jonathan and Teumer, Alexander and V{\"o}lzke, Henry and Kovacs, Peter and T{\"o}njes, Anke and Mangino, Massimo and Spector, Tim D and Hayward, Caroline and Rudan, Igor and Hall, Alistair S and Samani, Nilesh J and Attwood, Antony Paul and Sambrook, Jennifer G and Hung, Joseph and Palmer, Lyle J and Lokki, Marja-Liisa and Sinisalo, Juha and Boucher, Gabrielle and Huikuri, Heikki and Lorentzon, Mattias and Ohlsson, Claes and Eklund, Niina and Eriksson, Johan G and Barlassina, Cristina and Rivolta, Carlo and Nolte, Ilja M and Snieder, Harold and van der Klauw, Melanie M and van Vliet-Ostaptchouk, Jana V and Gejman, Pablo V and Shi, Jianxin and Jacobs, Kevin B and Wang, Zhaoming and Bakker, Stephan J L and Mateo Leach, Irene and Navis, Gerjan and van der Harst, Pim and Martin, Nicholas G and Medland, Sarah E and Montgomery, Grant W and Yang, Jian and Chasman, Daniel I and Ridker, Paul M and Rose, Lynda M and Lehtim{\"a}ki, Terho and Raitakari, Olli and Absher, Devin and Iribarren, Carlos and Basart, Hanneke and Hovingh, Kees G and Hypp{\"o}nen, Elina and Power, Chris and Anderson, Denise and Beilby, John P and Hui, Jennie and Jolley, Jennifer and Sager, Hendrik and Bornstein, Stefan R and Schwarz, Peter E H and Kristiansson, Kati and Perola, Markus and Lindstr{\"o}m, Jaana and Swift, Amy J and Uusitupa, Matti and Atalay, Mustafa and Lakka, Timo A and Rauramaa, Rainer and Bolton, Jennifer L and Fowkes, Gerry and Fraser, Ross M and Price, Jackie F and Fischer, Krista and Krjut{\r a} Kov, Kaarel and Metspalu, Andres and Mihailov, Evelin and Langenberg, Claudia and Luan, Jian{\textquoteright}an and Ong, Ken K and Chines, Peter S and Keinanen-Kiukaanniemi, Sirkka M and Saaristo, Timo E and Edkins, Sarah and Franks, Paul W and Hallmans, G{\"o}ran and Shungin, Dmitry and Morris, Andrew David and Palmer, Colin N A and Erbel, Raimund and Moebus, Susanne and N{\"o}then, Markus M and Pechlivanis, Sonali and Hveem, Kristian and Narisu, Narisu and Hamsten, Anders and Humphries, Steve E and Strawbridge, Rona J and Tremoli, Elena and Grallert, Harald and Thorand, Barbara and Illig, Thomas and Koenig, Wolfgang and M{\"u}ller-Nurasyid, Martina and Peters, Annette and Boehm, Bernhard O and Kleber, Marcus E and M{\"a}rz, Winfried and Winkelmann, Bernhard R and Kuusisto, Johanna and Laakso, Markku and Arveiler, Dominique and Cesana, Giancarlo and Kuulasmaa, Kari and Virtamo, Jarmo and Yarnell, John W G and Kuh, Diana and Wong, Andrew and Lind, Lars and de Faire, Ulf and Gigante, Bruna and Magnusson, Patrik K E and Pedersen, Nancy L and Dedoussis, George and Dimitriou, Maria and Kolovou, Genovefa and Kanoni, Stavroula and Stirrups, Kathleen and Bonnycastle, Lori L and Nj{\o}lstad, Inger and Wilsgaard, Tom and Ganna, Andrea and Rehnberg, Emil and Hingorani, Aroon and Kivimaki, Mika and Kumari, Meena and Assimes, Themistocles L and Barroso, In{\^e}s and Boehnke, Michael and Borecki, Ingrid B and Deloukas, Panos and Fox, Caroline S and Frayling, Timothy and Groop, Leif C and Haritunians, Talin and Hunter, David and Ingelsson, Erik and Kaplan, Robert and Mohlke, Karen L and O{\textquoteright}Connell, Jeffrey R and Schlessinger, David and Strachan, David P and Stefansson, Kari and van Duijn, Cornelia M and Abecasis, Goncalo R and McCarthy, Mark I and Hirschhorn, Joel N and Qi, Lu and Loos, Ruth J F and Lindgren, Cecilia M and North, Kari E and Heid, Iris M} } @article {6283, title = {Whole-genome sequence-based analysis of high-density lipoprotein cholesterol.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Aug}, pages = {899-901}, abstract = {

We describe initial steps for interrogating whole-genome sequence data to characterize the genetic architecture of a complex trait, levels of high-density lipoprotein cholesterol (HDL-C). We report whole-genome sequencing and analysis of 962 individuals from the Cohorts for Heart and Aging Research in Genetic Epidemiology (CHARGE) studies. From this analysis, we estimate that common variation contributes more to heritability of HDL-C levels than rare variation, and screening for mendelian variants for dyslipidemia identified individuals with extreme HDL-C levels. Whole-genome sequencing analyses highlight the value of regulatory and non-protein-coding regions of the genome in addition to protein-coding regions.

}, keywords = {Cholesterol, HDL, Computational Biology, Databases, Genetic, Genetic Variation, Genome, Human, Genome-Wide Association Study, Genomics, Heterozygote, Humans, Open Reading Frames}, issn = {1546-1718}, doi = {10.1038/ng.2671}, author = {Morrison, Alanna C and Voorman, Arend and Johnson, Andrew D and Liu, Xiaoming and Yu, Jin and Li, Alexander and Muzny, Donna and Yu, Fuli and Rice, Kenneth and Zhu, Chengsong and Bis, Joshua and Heiss, Gerardo and O{\textquoteright}Donnell, Christopher J and Psaty, Bruce M and Cupples, L Adrienne and Gibbs, Richard and Boerwinkle, Eric} } @article {6569, title = {Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data.}, journal = {BMJ}, volume = {349}, year = {2014}, month = {2014 Jul 10}, pages = {g4164}, abstract = {

OBJECTIVE: To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease.

DESIGN: Mendelian randomisation meta-analysis of 56 epidemiological studies.

PARTICIPANTS: 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers.

MAIN OUTCOME MEASURES: Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption.

RESULTS: Carriers of the A-allele of ADH1B rs1229984 consumed 17.2\% fewer units of alcohol per week (95\% confidence interval 15.6\% to 18.9\%), had a lower prevalence of binge drinking (odds ratio 0.78 (95\% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2\% (-7.8 to -2.4\%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m(2)). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)).

CONCLUSIONS: Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.

}, keywords = {Adult, Aged, Alcohol Dehydrogenase, Alcohol Drinking, Biomarkers, Coronary Disease, Female, Genetic Markers, Genotype, Humans, Male, Mendelian Randomization Analysis, Middle Aged, Models, Statistical, Polymorphism, Single Nucleotide, Stroke}, issn = {1756-1833}, doi = {10.1136/bmj.g4164}, author = {Holmes, Michael V and Dale, Caroline E and Zuccolo, Luisa and Silverwood, Richard J and Guo, Yiran and Ye, Zheng and Prieto-Merino, David and Dehghan, Abbas and Trompet, Stella and Wong, Andrew and Cavadino, Alana and Drogan, Dagmar and Padmanabhan, Sandosh and Li, Shanshan and Yesupriya, Ajay and Leusink, Maarten and Sundstr{\"o}m, Johan and Hubacek, Jaroslav A and Pikhart, Hynek and Swerdlow, Daniel I and Panayiotou, Andrie G and Borinskaya, Svetlana A and Finan, Chris and Shah, Sonia and Kuchenbaecker, Karoline B and Shah, Tina and Engmann, Jorgen and Folkersen, Lasse and Eriksson, Per and Ricceri, Fulvio and Melander, Olle and Sacerdote, Carlotta and Gamble, Dale M and Rayaprolu, Sruti and Ross, Owen A and McLachlan, Stela and Vikhireva, Olga and Sluijs, Ivonne and Scott, Robert A and Adamkova, Vera and Flicker, Leon and Bockxmeer, Frank M van and Power, Christine and Marques-Vidal, Pedro and Meade, Tom and Marmot, Michael G and Ferro, Jose M and Paulos-Pinheiro, Sofia and Humphries, Steve E and Talmud, Philippa J and Mateo Leach, Irene and Verweij, Niek and Linneberg, Allan and Skaaby, Tea and Doevendans, Pieter A and Cramer, Maarten J and van der Harst, Pim and Klungel, Olaf H and Dowling, Nicole F and Dominiczak, Anna F and Kumari, Meena and Nicolaides, Andrew N and Weikert, Cornelia and Boeing, Heiner and Ebrahim, Shah and Gaunt, Tom R and Price, Jackie F and Lannfelt, Lars and Peasey, Anne and Kubinova, Ruzena and Pajak, Andrzej and Malyutina, Sofia and Voevoda, Mikhail I and Tamosiunas, Abdonas and Maitland-van der Zee, Anke H and Norman, Paul E and Hankey, Graeme J and Bergmann, Manuela M and Hofman, Albert and Franco, Oscar H and Cooper, Jackie and Palmen, Jutta and Spiering, Wilko and de Jong, Pim A and Kuh, Diana and Hardy, Rebecca and Uitterlinden, Andr{\'e} G and Ikram, M Arfan and Ford, Ian and Hypp{\"o}nen, Elina and Almeida, Osvaldo P and Wareham, Nicholas J and Khaw, Kay-Tee and Hamsten, Anders and Husemoen, Lise Lotte N and Tj{\o}nneland, Anne and Tolstrup, Janne S and Rimm, Eric and Beulens, Joline W J and Verschuren, W M Monique and Onland-Moret, N Charlotte and Hofker, Marten H and Wannamethee, S Goya and Whincup, Peter H and Morris, Richard and Vicente, Astrid M and Watkins, Hugh and Farrall, Martin and Jukema, J Wouter and Meschia, James and Cupples, L Adrienne and Sharp, Stephen J and Fornage, Myriam and Kooperberg, Charles and LaCroix, Andrea Z and Dai, James Y and Lanktree, Matthew B and Siscovick, David S and Jorgenson, Eric and Spring, Bonnie and Coresh, Josef and Li, Yun R and Buxbaum, Sarah G and Schreiner, Pamela J and Ellison, R Curtis and Tsai, Michael Y and Patel, Sanjay R and Redline, Susan and Johnson, Andrew D and Hoogeveen, Ron C and Hakonarson, Hakon and Rotter, Jerome I and Boerwinkle, Eric and de Bakker, Paul I W and Kivimaki, Mika and Asselbergs, Folkert W and Sattar, Naveed and Lawlor, Debbie A and Whittaker, John and Davey Smith, George and Mukamal, Kenneth and Psaty, Bruce M and Wilson, James G and Lange, Leslie A and Hamidovic, Ajna and Hingorani, Aroon D and Nordestgaard, B{\o}rge G and Bobak, Martin and Leon, David A and Langenberg, Claudia and Palmer, Tom M and Reiner, Alex P and Keating, Brendan J and Dudbridge, Frank and Casas, Juan P} } @article {6542, title = {Association between the metabolic syndrome, its individual components, and unprovoked venous thromboembolism: results of a patient-level meta-analysis.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {34}, year = {2014}, month = {2014 Nov}, pages = {2478-85}, abstract = {

OBJECTIVE: The metabolic syndrome (MetS) may contribute to the pathogenesis of venous thromboembolism (VTE), but this association requires additional investigation.

APPROACH AND RESULTS: We performed a patient-level meta-analysis of case-control and cohort studies that evaluated the role of MetS and risk of unprovoked VTE. For case-control studies, odds ratios and 95\% confidence intervals were calculated using logistic regression analysis to estimate the influence of individual variables on the risk of VTE; χ(2) tests for trend were used to investigate the effect of increasing number of components of MetS on the risk of VTE and to explore the influence of abdominal obesity on this relationship. For cohort studies, hazard ratios and 95\% confidence interval were calculated using multivariable Cox regression analysis. Six case-control studies were included (908 cases with unprovoked VTE and 1794 controls): in multivariate analysis, MetS was independently associated with VTE (odds ratio, 1.91; 95\% confidence interval, 1.57-2.33), and both MetS and abdominal obesity were better predictors of unprovoked VTE than obesity defined by the body mass index. Two prospective cohort studies were included (26,531 subjects and 289 unprovoked VTE events): age, obesity, and abdominal obesity, but not MetS were associated with VTE.

CONCLUSIONS: Case-control but not prospective cohort studies support an association between MetS and VTE. Abdominal adiposity is a strong risk factor for VTE.

}, keywords = {Adult, Aged, Case-Control Studies, Cohort Studies, Female, Humans, Logistic Models, Male, Metabolic Syndrome, Middle Aged, Obesity, Abdominal, Risk Factors, Venous Thromboembolism}, issn = {1524-4636}, doi = {10.1161/ATVBAHA.114.304085}, author = {Ageno, Walter and Di Minno, Matteo N D and Ay, Cihan and Jang, Moon Ju and Hansen, John-Bjarne and Steffen, Lyn M and Vaya, Amparo and Rattazzi, Marcello and Pabinger, Ingrid and Oh, Doyeun and Di Minno, Giovanni and Braekkan, Sigrid K and Cushman, Mary and Bonet, Elena and Pauletto, Paolo and Squizzato, Alessandro and Dentali, Francesco} } @article {6587, title = {Association of a cystatin C gene variant with cystatin C levels, CKD, and risk of incident cardiovascular disease and mortality.}, journal = {Am J Kidney Dis}, volume = {63}, year = {2014}, month = {2014 Jan}, pages = {16-22}, abstract = {

BACKGROUND: Carriers of the T allele of the single-nucleotide polymorphism rs13038305 tend to have lower cystatin C levels and higher cystatin C-based estimated glomerular filtration rate (eGFRcys). Adjusting for this genetic effect on cystatin C concentrations may improve GFR estimation, reclassify cases of chronic kidney disease (CKD), and strengthen risk estimates for cardiovascular disease (CVD) and mortality.

STUDY DESIGN: Observational.

SETTING \& POPULATION: 4 population-based cohorts: Atherosclerosis Risk in Communities (ARIC), Cardiovascular Health (CHS), Framingham Heart (FHS), and Health, Aging, and Body Composition (Health ABC) studies.

PREDICTORS: We estimated the association of rs13038305 with eGFRcys and serum creatinine-based eGFR (eGFRcr) and performed longitudinal analyses of the associations of eGFRcys with mortality and cardiovascular events following adjustment for rs13038305.

OUTCOMES: We assessed reclassification by genotype-adjusted eGFRcys across CKD categories: <45, 45-59, 60-89, and >= 90 mL/min/1.73 m(2). We compared mortality and CVD outcomes in those reclassified to a worse eGFRcys category with those unaffected. Results were combined using fixed-effect inverse-variance meta-analysis.

RESULTS: In 14,645 participants, each copy of the T allele of rs13038305 (frequency, 21\%) was associated with a 6.4\% lower cystatin C concentration, 5.5-mL/min/1.73 m(2) higher eGFRcys, and 36\% [95\% CI, 29\%-41\%] lower odds of CKD. Associations with CVD (HR, 1.17; 95\% CI, 1.14-1.20) and mortality (HR, 1.22; 95\% CI, 1.19-1.24) per 10-mL/min/1.73 m(2) lower eGFRcys were similar with or without rs13038305 adjustment. 1,134 (7.7\%) participants were reclassified to a worse CKD category following rs13038305 adjustment, and rates of CVD and mortality were higher in individuals who were reclassified. However, the overall net reclassification index was not significant for either outcome, at 0.009 (95\% CI, -0.003 to 0.022) for mortality and 0.014 (95\% CI, 0.0 to 0.028) for CVD.

LIMITATIONS: rs13038305 explains only a small proportion of cystatin C variation.

CONCLUSIONS: Statistical adjustment can correct a genetic bias in GFR estimates based on cystatin C in carriers of the T allele of rs13038305 and result in changes in disease classification. However, on a population level, the effects on overall reclassification of CKD status are modest.

}, keywords = {Aged, Bias, Biomarkers, Cardiovascular Diseases, Creatinine, Cystatin C, Female, Genetic Variation, Glomerular Filtration Rate, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Renal Insufficiency, Chronic, Risk Assessment, Risk Factors, Severity of Illness Index, Statistics as Topic, Survival Rate}, issn = {1523-6838}, doi = {10.1053/j.ajkd.2013.06.015}, author = {O{\textquoteright}Seaghdha, Conall M and Tin, Adrienne and Yang, Qiong and Katz, Ronit and Liu, Yongmei and Harris, Tamara and Astor, Brad and Coresh, Josef and Fox, Caroline S and Kao, W H Linda and Shlipak, Michael G} } @article {6590, title = {Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks.}, journal = {Am J Hum Genet}, volume = {94}, year = {2014}, month = {2014 Feb 06}, pages = {223-32}, abstract = {

Low-frequency coding DNA sequence variants in the proprotein convertase subtilisin/kexin type 9 gene (PCSK9) lower plasma low-density lipoprotein cholesterol (LDL-C), protect against risk of coronary heart disease (CHD), and have prompted the development of a new class of therapeutics. It is uncertain whether the PCSK9 example represents a paradigm or an isolated exception. We used the "Exome Array" to genotype >200,000 low-frequency and rare coding sequence variants across the genome in 56,538 individuals (42,208 European ancestry [EA] and 14,330 African ancestry [AA]) and tested these variants for association with LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides. Although we did not identify new genes associated with LDL-C, we did identify four low-frequency (frequencies between 0.1\% and 2\%) variants (ANGPTL8 rs145464906 [c.361C>T; p.Gln121*], PAFAH1B2 rs186808413 [c.482C>T; p.Ser161Leu], COL18A1 rs114139997 [c.331G>A; p.Gly111Arg], and PCSK7 rs142953140 [c.1511G>A; p.Arg504His]) with large effects on HDL-C and/or triglycerides. None of these four variants was associated with risk for CHD, suggesting that examples of low-frequency coding variants with robust effects on both lipids and CHD will be limited.

}, keywords = {1-Alkyl-2-acetylglycerophosphocholine Esterase, Adult, African Continental Ancestry Group, Aged, Alleles, Animals, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Coronary Disease, European Continental Ancestry Group, Female, Gene Frequency, Genetic Association Studies, Genetic Code, Genetic Variation, Humans, Linear Models, Male, Mice, Mice, Inbred C57BL, Microtubule-Associated Proteins, Middle Aged, Phenotype, Sequence Analysis, DNA, Subtilisins, Triglycerides}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.01.009}, author = {Peloso, Gina M and Auer, Paul L and Bis, Joshua C and Voorman, Arend and Morrison, Alanna C and Stitziel, Nathan O and Brody, Jennifer A and Khetarpal, Sumeet A and Crosby, Jacy R and Fornage, Myriam and Isaacs, Aaron and Jakobsdottir, Johanna and Feitosa, Mary F and Davies, Gail and Huffman, Jennifer E and Manichaikul, Ani and Davis, Brian and Lohman, Kurt and Joon, Aron Y and Smith, Albert V and Grove, Megan L and Zanoni, Paolo and Redon, Valeska and Demissie, Serkalem and Lawson, Kim and Peters, Ulrike and Carlson, Christopher and Jackson, Rebecca D and Ryckman, Kelli K and Mackey, Rachel H and Robinson, Jennifer G and Siscovick, David S and Schreiner, Pamela J and Mychaleckyj, Josyf C and Pankow, James S and Hofman, Albert and Uitterlinden, Andr{\'e} G and Harris, Tamara B and Taylor, Kent D and Stafford, Jeanette M and Reynolds, Lindsay M and Marioni, Riccardo E and Dehghan, Abbas and Franco, Oscar H and Patel, Aniruddh P and Lu, Yingchang and Hindy, George and Gottesman, Omri and Bottinger, Erwin P and Melander, Olle and Orho-Melander, Marju and Loos, Ruth J F and Duga, Stefano and Merlini, Piera Angelica and Farrall, Martin and Goel, Anuj and Asselta, Rosanna and Girelli, Domenico and Martinelli, Nicola and Shah, Svati H and Kraus, William E and Li, Mingyao and Rader, Daniel J and Reilly, Muredach P and McPherson, Ruth and Watkins, Hugh and Ardissino, Diego and Zhang, Qunyuan and Wang, Judy and Tsai, Michael Y and Taylor, Herman A and Correa, Adolfo and Griswold, Michael E and Lange, Leslie A and Starr, John M and Rudan, Igor and Eiriksdottir, Gudny and Launer, Lenore J and Ordovas, Jose M and Levy, Daniel and Chen, Y-D Ida and Reiner, Alexander P and Hayward, Caroline and Polasek, Ozren and Deary, Ian J and Borecki, Ingrid B and Liu, Yongmei and Gudnason, Vilmundur and Wilson, James G and van Duijn, Cornelia M and Kooperberg, Charles and Rich, Stephen S and Psaty, Bruce M and Rotter, Jerome I and O{\textquoteright}Donnell, Christopher J and Rice, Kenneth and Boerwinkle, Eric and Kathiresan, Sekar and Cupples, L Adrienne} } @article {6607, title = {The challenges of genome-wide interaction studies: lessons to learn from the analysis of HDL blood levels.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e109290}, abstract = {

Genome-wide association studies (GWAS) have revealed 74 single nucleotide polymorphisms (SNPs) associated with high-density lipoprotein cholesterol (HDL) blood levels. This study is, to our knowledge, the first genome-wide interaction study (GWIS) to identify SNP{\texttimes}SNP interactions associated with HDL levels. We performed a GWIS in the Rotterdam Study (RS) cohort I (RS-I) using the GLIDE tool which leverages the massively parallel computing power of Graphics Processing Units (GPUs) to perform linear regression on all genome-wide pairs of SNPs. By performing a meta-analysis together with Rotterdam Study cohorts II and III (RS-II and RS-III), we were able to filter 181 interaction terms with a p-value<1 {\textperiodcentered} 10-8 that replicated in the two independent cohorts. We were not able to replicate any of these interaction term in the AGES, ARIC, CHS, ERF, FHS and NFBC-66 cohorts (Ntotal = 30,011) when adjusting for multiple testing. Our GWIS resulted in the consistent finding of a possible interaction between rs774801 in ARMC8 (ENSG00000114098) and rs12442098 in SPATA8 (ENSG00000185594) being associated with HDL levels. However, p-values do not reach the preset Bonferroni correction of the p-values. Our study suggest that even for highly genetically determined traits such as HDL the sample sizes needed to detect SNP{\texttimes}SNP interactions are large and the 2-step filtering approaches do not yield a solution. Here we present our analysis plan and our reservations concerning GWIS.

}, keywords = {Cholesterol, HDL, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1932-6203}, doi = {10.1371/journal.pone.0109290}, author = {van Leeuwen, Elisabeth M and Smouter, Fran{\c c}oise A S and Kam-Thong, Tony and Karbalai, Nazanin and Smith, Albert V and Harris, Tamara B and Launer, Lenore J and Sitlani, Colleen M and Li, Guo and Brody, Jennifer A and Bis, Joshua C and White, Charles C and Jaiswal, Alok and Oostra, Ben A and Hofman, Albert and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Boerwinkle, Eric and Ballantyne, Christie M and Gudnason, Vilmundur and Psaty, Bruce M and Cupples, L Adrienne and Jarvelin, Marjo-Riitta and Ripatti, Samuli and Isaacs, Aaron and M{\"u}ller-Myhsok, Bertram and Karssen, Lennart C and van Duijn, Cornelia M} } @article {6549, title = {Common carotid intima-media thickness measurements do not improve cardiovascular risk prediction in individuals with elevated blood pressure: the USE-IMT collaboration.}, journal = {Hypertension}, volume = {63}, year = {2014}, month = {2014 Jun}, pages = {1173-81}, abstract = {

Carotid intima-media thickness (CIMT) is a marker of cardiovascular risk. It is unclear whether measurement of mean common CIMT improves 10-year risk prediction of first-time myocardial infarction or stroke in individuals with elevated blood pressure. We performed an analysis among individuals with elevated blood pressure (i.e., a systolic blood pressure >=140 mm Hg and a diastolic blood pressure >= 90 mm Hg) in USE-IMT, a large ongoing individual participant data meta-analysis. We refitted the risk factors of the Framingham Risk Score on asymptomatic individuals (baseline model) and expanded this model with mean common CIMT (CIMT model) measurements. From both models, 10-year risks to develop a myocardial infarction or stroke were estimated. In individuals with elevated blood pressure, we compared discrimination and calibration of the 2 models and calculated the net reclassification improvement (NRI). We included 17 254 individuals with elevated blood pressure from 16 studies. During a median follow-up of 9.9 years, 2014 first-time myocardial infarctions or strokes occurred. The C-statistics of the baseline and CIMT models were similar (0.73). NRI with the addition of mean common CIMT was small and not significant (1.4\%; 95\% confidence intervals, -1.1 to 3.7). In those at intermediate risk (n=5008, 10-year absolute risk of 10\% to 20\%), the NRI was 5.6\% (95\% confidence intervals, 1.6-10.4). There is no added value of measurement of mean common CIMT in individuals with elevated blood pressure for improving cardiovascular risk prediction. For those at intermediate risk, the addition of mean common CIMT to an existing cardiovascular risk score is small but statistically significant.

}, keywords = {Adult, Aged, Antihypertensive Agents, Blood Pressure, Cardiovascular Diseases, Carotid Artery, Common, Carotid Intima-Media Thickness, Cohort Studies, Female, Humans, Hypertension, Male, Meta-Analysis as Topic, Middle Aged, Risk Assessment, Risk Factors}, issn = {1524-4563}, doi = {10.1161/HYPERTENSIONAHA.113.02683}, author = {Bots, Michiel L and Groenewegen, Karlijn A and Anderson, Todd J and Britton, Annie R and Dekker, Jacqueline M and Engstr{\"o}m, Gunnar and Evans, Greg W and de Graaf, Jacqueline and Grobbee, Diederick E and Hedblad, Bo and Hofman, Albert and Holewijn, Suzanne and Ikeda, Ai and Kavousi, Maryam and Kitagawa, Kazuo and Kitamura, Akihiko and Ikram, M Arfan and Lonn, Eva M and Lorenz, Matthias W and Mathiesen, Ellisiv B and Nijpels, Giel and Okazaki, Shuhei and O{\textquoteright}Leary, Daniel H and Polak, Joseph F and Price, Jacqueline F and Robertson, Christine and Rembold, Christopher M and Rosvall, Maria and Rundek, Tatjana and Salonen, Jukka T and Sitzer, Matthias and Stehouwer, Coen D A and Franco, Oscar H and Peters, Sanne A E and den Ruijter, Hester M} } @article {6554, title = {Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality.}, journal = {JAMA}, volume = {311}, year = {2014}, month = {2014 Jun 25}, pages = {2518-2531}, abstract = {

IMPORTANCE: The established chronic kidney disease (CKD) progression end point of end-stage renal disease (ESRD) or a doubling of serum creatinine concentration (corresponding to a change in estimated glomerular filtration rate [GFR] of -57\% or greater) is a late event.

OBJECTIVE: To characterize the association of decline in estimated GFR with subsequent progression to ESRD with implications for using lesser declines in estimated GFR as potential alternative end points for CKD progression. Because most people with CKD die before reaching ESRD, mortality risk also was investigated.

DATA SOURCES AND STUDY SELECTION: Individual meta-analysis of 1.7 million participants with 12,344 ESRD events and 223,944 deaths from 35 cohorts in the CKD Prognosis Consortium with a repeated measure of serum creatinine concentration over 1 to 3 years and outcome data.

DATA EXTRACTION AND SYNTHESIS: Transfer of individual participant data or standardized analysis of outputs for random-effects meta-analysis conducted between July 2012 and September 2013, with baseline estimated GFR values collected from 1975 through 2012.

MAIN OUTCOMES AND MEASURES: End-stage renal disease (initiation of dialysis or transplantation) or all-cause mortality risk related to percentage change in estimated GFR over 2 years, adjusted for potential confounders and first estimated GFR.

RESULTS: The adjusted hazard ratios (HRs) of ESRD and mortality were higher with larger estimated GFR decline. Among participants with baseline estimated GFR of less than 60 mL/min/1.73 m2, the adjusted HRs for ESRD were 32.1 (95\% CI, 22.3-46.3) for changes of -57\% in estimated GFR and 5.4 (95\% CI, 4.5-6.4) for changes of -30\%. However, changes of -30\% or greater (6.9\% [95\% CI, 6.4\%-7.4\%] of the entire consortium) were more common than changes of -57\% (0.79\% [95\% CI, 0.52\%-1.06\%]). This association was strong and consistent across the length of the baseline period (1 to 3 years), baseline estimated GFR, age, diabetes status, or albuminuria. Average adjusted 10-year risk of ESRD (in patients with a baseline estimated GFR of 35 mL/min/1.73 m2) was 99\% (95\% CI, 95\%-100\%) for estimated GFR change of -57\%, was 83\% (95\% CI, 71\%-93\%) for estimated GFR change of -40\%, and was 64\% (95\% CI, 52\%-77\%) for estimated GFR change of -30\% vs 18\% (95\% CI, 15\%-22\%) for estimated GFR change of 0\%. Corresponding mortality risks were 77\% (95\% CI, 71\%-82\%), 60\% (95\% CI, 56\%-63\%), and 50\% (95\% CI, 47\%-52\%) vs 32\% (95\% CI, 31\%-33\%), showing a similar but weaker pattern.

CONCLUSIONS AND RELEVANCE: Declines in estimated GFR smaller than a doubling of serum creatinine concentration occurred more commonly and were strongly and consistently associated with the risk of ESRD and mortality, supporting consideration of lesser declines in estimated GFR (such as a 30\% reduction over 2 years) as an alternative end point for CKD progression.

}, keywords = {Adult, Aged, Aged, 80 and over, Cohort Studies, Creatinine, Disease Progression, Endpoint Determination, Female, Glomerular Filtration Rate, Humans, Kidney Failure, Chronic, Male, Middle Aged, Reference Values, Risk}, issn = {1538-3598}, doi = {10.1001/jama.2014.6634}, author = {Coresh, Josef and Turin, Tanvir Chowdhury and Matsushita, Kunihiro and Sang, Yingying and Ballew, Shoshana H and Appel, Lawrence J and Arima, Hisatomi and Chadban, Steven J and Cirillo, Massimo and Djurdjev, Ognjenka and Green, Jamie A and Heine, Gunnar H and Inker, Lesley A and Irie, Fujiko and Ishani, Areef and Ix, Joachim H and Kovesdy, Csaba P and Marks, Angharad and Ohkubo, Takayoshi and Shalev, Varda and Shankar, Anoop and Wen, Chi Pang and de Jong, Paul E and Iseki, Kunitoshi and Stengel, B{\'e}n{\'e}dicte and Gansevoort, Ron T and Levey, Andrew S} } @article {6803, title = {Development and validation of an ankle brachial index risk model for the prediction of cardiovascular events.}, journal = {Eur J Prev Cardiol}, volume = {21}, year = {2014}, month = {2014 Mar}, pages = {310-20}, abstract = {

BACKGROUND: The ankle brachial index (ABI) is related to risk of cardiovascular events independent of the Framingham risk score (FRS). The aim of this study was to develop and evaluate a risk model for cardiovascular events incorporating the ABI and FRS.

DESIGN: An analysis of participant data from 18 cohorts in which 24,375 men and 20,377 women free of coronary heart disease had ABI measured and were followed up for events.

METHODS: Subjects were divided into a development and internal validation dataset and an external validation dataset. Two models, comprising FRS and FRS + ABI, were fitted for the primary outcome of major coronary events.

RESULTS: In predicting events in the external validation dataset, C-index for the FRS was 0.672 (95\% CI 0.599 to 0.737) in men and 0.578 (95\% CI 0.492 to 0.661) in women. The FRS + ABI led to a small increase in C-index in men to 0.685 (95\% CI 0.612 to 0.749) and large increase in women to 0.690 (95\% CI 0.605 to 0.764) with net reclassification improvement (NRI) of 4.3\% (95\% CI 0.0 to 7.6\%, p = 0.050) and 9.6\% (95\% CI 6.1 to 16.4\%, p < 0.001), respectively. Restricting the FRS + ABI model to those with FRS intermediate 10-year risk of 10 to 19\% resulted in higher NRI of 15.9\% (95\% CI 6.1 to 20.6\%, p < 0.001) in men and 23.3\% (95\% CI 13.8 to 62.5\%, p = 0.002) in women. However, incorporating ABI in an improved newly fitted risk factor model had a nonsignificant effect: NRI 2.0\% (95\% CI 2.3 to 4.2\%, p = 0.567) in men and 1.1\% (95\% CI 1.9 to 4.0\%, p = 0.483) in women.

CONCLUSIONS: An ABI risk model may improve prediction especially in individuals at intermediate risk and when performance of the base risk factor model is modest.

}, keywords = {Adult, Aged, Aged, 80 and over, Ankle Brachial Index, Cardiovascular Diseases, Europe, European Continental Ancestry Group, Female, Humans, Male, Middle Aged, Models, Statistical, Predictive Value of Tests, Prognosis, Reproducibility of Results, Risk Assessment, Risk Factors, Sex Factors, Time Factors, United States, Young Adult}, issn = {2047-4881}, doi = {10.1177/2047487313516564}, author = {Fowkes, F G R and Murray, G D and Butcher, I and Folsom, A R and Hirsch, A T and Couper, D J and deBacker, G and Kornitzer, M and Newman, A B and Sutton-Tyrrell, K C and Cushman, M and Lee, A J and Price, J F and D{\textquoteright}Agostino, R B and Murabito, J M and Norman, Pe and Masaki, K H and Bouter, L M and Heine, R J and Stehouwer, C D A and McDermott, M M and Stoffers, H E J H and Knottnerus, J A and Ogren, M and Hedblad, B and Koenig, W and Meisinger, C and Cauley, J A and Franco, Oh and Hunink, M G M and Hofman, A and Witteman, J C and Criqui, M H and Langer, R D and Hiatt, W R and Hamman, R F} } @article {5978, title = {Drug-gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval.}, journal = {Pharmacogenomics J}, volume = {14}, year = {2014}, month = {2014 Feb}, pages = {6-13}, abstract = {

Variability in response to drug use is common and heritable, suggesting that genome-wide pharmacogenomics studies may help explain the {\textquoteright}missing heritability{\textquoteright} of complex traits. Here, we describe four independent analyses in 33 781 participants of European ancestry from 10 cohorts that were designed to identify genetic variants modifying the effects of drugs on QT interval duration (QT). Each analysis cross-sectionally examined four therapeutic classes: thiazide diuretics (prevalence of use=13.0\%), tri/tetracyclic antidepressants (2.6\%), sulfonylurea hypoglycemic agents (2.9\%) and QT-prolonging drugs as classified by the University of Arizona Center for Education and Research on Therapeutics (4.4\%). Drug-gene interactions were estimated using covariable-adjusted linear regression and results were combined with fixed-effects meta-analysis. Although drug-single-nucleotide polymorphism (SNP) interactions were biologically plausible and variables were well-measured, findings from the four cross-sectional meta-analyses were null (Pinteraction>5.0 {\texttimes} 10(-8)). Simulations suggested that additional efforts, including longitudinal modeling to increase statistical power, are likely needed to identify potentially important pharmacogenomic effects.

}, keywords = {Computer Simulation, Cross-Sectional Studies, Drug-Related Side Effects and Adverse Reactions, Electrocardiography, European Continental Ancestry Group, Gene-Environment Interaction, Genome-Wide Association Study, Humans, Linear Models, Long QT Syndrome, Markov Chains, Pharmacogenetics, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable}, issn = {1473-1150}, doi = {10.1038/tpj.2013.4}, author = {Avery, C L and Sitlani, C M and Arking, D E and Arnett, D K and Bis, J C and Boerwinkle, E and Buckley, B M and Ida Chen, Y-D and de Craen, A J M and Eijgelsheim, M and Enquobahrie, D and Evans, D S and Ford, I and Garcia, M E and Gudnason, V and Harris, T B and Heckbert, S R and Hochner, H and Hofman, A and Hsueh, W-C and Isaacs, A and Jukema, J W and Knekt, P and Kors, J A and Krijthe, B P and Kristiansson, K and Laaksonen, M and Liu, Y and Li, X and Macfarlane, P W and Newton-Cheh, C and Nieminen, M S and Oostra, B A and Peloso, G M and Porthan, K and Rice, K and Rivadeneira, F F and Rotter, J I and Salomaa, V and Sattar, N and Siscovick, D S and Slagboom, P E and Smith, A V and Sotoodehnia, N and Stott, D J and Stricker, B H and St{\"u}rmer, T and Trompet, S and Uitterlinden, A G and van Duijn, C and Westendorp, R G J and Witteman, J C and Whitsel, E A and Psaty, B M} } @article {6598, title = {Evidence of heterogeneity by race/ethnicity in genetic determinants of QT interval.}, journal = {Epidemiology}, volume = {25}, year = {2014}, month = {2014 Nov}, pages = {790-8}, abstract = {

BACKGROUND: QT interval (QT) prolongation is an established risk factor for ventricular tachyarrhythmia and sudden cardiac death. Previous genome-wide association studies in populations of the European descent have identified multiple genetic loci that influence QT, but few have examined these loci in ethnically diverse populations.

METHODS: Here, we examine the direction, magnitude, and precision of effect sizes for 21 previously reported SNPs from 12 QT loci, in populations of European (n = 16,398), African (n = 5,437), American Indian (n = 5,032), Hispanic (n = 1,143), and Asian (n = 932) descent as part of the Population Architecture using Genomics and Epidemiology (PAGE) study. Estimates obtained from linear regression models stratified by race/ethnicity were combined using inverse-variance weighted meta-analysis. Heterogeneity was evaluated using Cochran{\textquoteright}s Q test.

RESULTS: Of 21 SNPs, 7 showed consistent direction of effect across all 5 populations, and an additional 9 had estimated effects that were consistent across 4 populations. Despite consistent direction of effect, 9 of 16 SNPs had evidence (P < 0.05) of heterogeneity by race/ethnicity. For these 9 SNPs, linkage disequilibrium plots often indicated substantial variation in linkage disequilibrium patterns among the various racial/ethnic groups, as well as possible allelic heterogeneity.

CONCLUSIONS: These results emphasize the importance of analyzing racial/ethnic groups separately in genetic studies. Furthermore, they underscore the possible utility of trans-ethnic studies to pinpoint underlying casual variants influencing heritable traits such as QT.

}, keywords = {Aged, Continental Population Groups, Electrocardiography, Female, Genetic Predisposition to Disease, Haplotypes, Humans, Long QT Syndrome, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Quantitative Trait, Heritable, Risk Factors}, issn = {1531-5487}, doi = {10.1097/EDE.0000000000000168}, author = {Seyerle, Amanda A and Young, Alicia M and Jeff, Janina M and Melton, Phillip E and Jorgensen, Neal W and Lin, Yi and Carty, Cara L and Deelman, Ewa and Heckbert, Susan R and Hindorff, Lucia A and Jackson, Rebecca D and Martin, Lisa W and Okin, Peter M and Perez, Marco V and Psaty, Bruce M and Soliman, Elsayed Z and Whitsel, Eric A and North, Kari E and Laston, Sandra and Kooperberg, Charles and Avery, Christy L} } @article {6938, title = {FTO genetic variants, dietary intake and body mass index: insights from 177,330 individuals.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 Dec 20}, pages = {6961-72}, abstract = {

FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small-scale studies in humans are highly inconsistent. We performed large-scale analyses based on data from 177,330 adults (154 439 Whites, 5776 African Americans and 17 115 Asians) from 40 studies to examine: (i) the association between the FTO-rs9939609 variant (or a proxy single-nucleotide polymorphism) and total energy and macronutrient intake and (ii) the interaction between the FTO variant and dietary intake on BMI. The minor allele (A-allele) of the FTO-rs9939609 variant was associated with higher BMI in Whites (effect per allele = 0.34 [0.31, 0.37] kg/m(2), P = 1.9 {\texttimes} 10(-105)), and all participants (0.30 [0.30, 0.35] kg/m(2), P = 3.6 {\texttimes} 10(-107)). The BMI-increasing allele of the FTO variant showed a significant association with higher dietary protein intake (effect per allele = 0.08 [0.06, 0.10] \%, P = 2.4 {\texttimes} 10(-16)), and relative weak associations with lower total energy intake (-6.4 [-10.1, -2.6] kcal/day, P = 0.001) and lower dietary carbohydrate intake (-0.07 [-0.11, -0.02] \%, P = 0.004). The associations with protein (P = 7.5 {\texttimes} 10(-9)) and total energy (P = 0.002) were attenuated but remained significant after adjustment for BMI. We did not find significant interactions between the FTO variant and dietary intake of total energy, protein, carbohydrate or fat on BMI. Our findings suggest a positive association between the BMI-increasing allele of FTO variant and higher dietary protein intake and offer insight into potential link between FTO, dietary protein intake and adiposity.

}, keywords = {Adult, African Americans, Aged, Alleles, Asian Continental Ancestry Group, Body Mass Index, Dietary Carbohydrates, Dietary Fats, Dietary Proteins, Energy Intake, European Continental Ancestry Group, Female, Gene Frequency, Humans, Male, Middle Aged, Obesity, Polymorphism, Single Nucleotide, Proteins}, issn = {1460-2083}, doi = {10.1093/hmg/ddu411}, author = {Qi, Qibin and Kilpel{\"a}inen, Tuomas O and Downer, Mary K and Tanaka, Toshiko and Smith, Caren E and Sluijs, Ivonne and Sonestedt, Emily and Chu, Audrey Y and Renstrom, Frida and Lin, Xiaochen and {\"A}ngquist, Lars H and Huang, Jinyan and Liu, Zhonghua and Li, Yanping and Asif Ali, Muhammad and Xu, Min and Ahluwalia, Tarunveer Singh and Boer, Jolanda M A and Chen, Peng and Daimon, Makoto and Eriksson, Johan and Perola, Markus and Friedlander, Yechiel and Gao, Yu-Tang and Heppe, Denise H M and Holloway, John W and Houston, Denise K and Kanoni, Stavroula and Kim, Yu-Mi and Laaksonen, Maarit A and J{\"a}{\"a}skel{\"a}inen, Tiina and Lee, Nanette R and Lehtim{\"a}ki, Terho and Lemaitre, Rozenn N and Lu, Wei and Luben, Robert N and Manichaikul, Ani and M{\"a}nnist{\"o}, Satu and Marques-Vidal, Pedro and Monda, Keri L and Ngwa, Julius S and Perusse, Louis and van Rooij, Frank J A and Xiang, Yong-Bing and Wen, Wanqing and Wojczynski, Mary K and Zhu, Jingwen and Borecki, Ingrid B and Bouchard, Claude and Cai, Qiuyin and Cooper, Cyrus and Dedoussis, George V and Deloukas, Panos and Ferrucci, Luigi and Forouhi, Nita G and Hansen, Torben and Christiansen, Lene and Hofman, Albert and Johansson, Ingegerd and J{\o}rgensen, Torben and Karasawa, Shigeru and Khaw, Kay-Tee and Kim, Mi-Kyung and Kristiansson, Kati and Li, Huaixing and Lin, Xu and Liu, Yongmei and Lohman, Kurt K and Long, Jirong and Mikkil{\"a}, Vera and Mozaffarian, Dariush and North, Kari and Pedersen, Oluf and Raitakari, Olli and Rissanen, Harri and Tuomilehto, Jaakko and van der Schouw, Yvonne T and Uitterlinden, Andr{\'e} G and Zillikens, M Carola and Franco, Oscar H and Shyong Tai, E and Ou Shu, Xiao and Siscovick, David S and Toft, Ulla and Verschuren, W M Monique and Vollenweider, Peter and Wareham, Nicholas J and Witteman, Jacqueline C M and Zheng, Wei and Ridker, Paul M and Kang, Jae H and Liang, Liming and Jensen, Majken K and Curhan, Gary C and Pasquale, Louis R and Hunter, David J and Mohlke, Karen L and Uusitupa, Matti and Cupples, L Adrienne and Rankinen, Tuomo and Orho-Melander, Marju and Wang, Tao and Chasman, Daniel I and Franks, Paul W and S{\o}rensen, Thorkild I A and Hu, Frank B and Loos, Ruth J F and Nettleton, Jennifer A and Qi, Lu} } @article {6599, title = {Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia.}, journal = {Am J Hum Genet}, volume = {95}, year = {2014}, month = {2014 Jul 03}, pages = {24-38}, abstract = {

Although age-dependent effects on blood pressure (BP) have been reported, they have not been systematically investigated in large-scale genome-wide association studies (GWASs). We leveraged the infrastructure of three well-established consortia (CHARGE, GBPgen, and ICBP) and a nonstandard approach (age stratification and metaregression) to conduct a genome-wide search of common variants with age-dependent effects on systolic (SBP), diastolic (DBP), mean arterial (MAP), and pulse (PP) pressure. In a two-staged design using 99,241 individuals of European ancestry, we identified 20 genome-wide significant (p <= 5 {\texttimes} 10(-8)) loci by using joint tests of the SNP main effect and SNP-age interaction. Nine of the significant loci demonstrated nominal evidence of age-dependent effects on BP by tests of the interactions alone. Index SNPs in the EHBP1L1 (DBP and MAP), CASZ1 (SBP and MAP), and GOSR2 (PP) loci exhibited the largest age interactions, with opposite directions of effect in the young versus the old. The changes in the genetic effects over time were small but nonnegligible (up to 1.58 mm Hg over 60 years). The EHBP1L1 locus was discovered through gene-age interactions only in whites but had DBP main effects replicated (p = 8.3 {\texttimes} 10(-4)) in 8,682 Asians from Singapore, indicating potential interethnic heterogeneity. A secondary analysis revealed 22 loci with evidence of age-specific effects (e.g., only in 20 to 29-year-olds). Age can be used to select samples with larger genetic effect sizes and more homogenous phenotypes, which may increase statistical power. Age-dependent effects identified through novel statistical approaches can provide insight into the biology and temporal regulation underlying BP associations.

}, keywords = {Adolescent, Adult, Age Factors, Aged, Blood Pressure, Cohort Studies, Humans, Middle Aged, Young Adult}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.05.010}, author = {Simino, Jeannette and Shi, Gang and Bis, Joshua C and Chasman, Daniel I and Ehret, Georg B and Gu, Xiangjun and Guo, Xiuqing and Hwang, Shih-Jen and Sijbrands, Eric and Smith, Albert V and Verwoert, Germaine C and Bragg-Gresham, Jennifer L and Cadby, Gemma and Chen, Peng and Cheng, Ching-Yu and Corre, Tanguy and de Boer, Rudolf A and Goel, Anuj and Johnson, Toby and Khor, Chiea-Chuen and Llu{\'\i}s-Ganella, Carla and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Sim, Xueling and S{\~o}ber, Siim and van der Most, Peter J and Verweij, Niek and Zhao, Jing Hua and Amin, Najaf and Boerwinkle, Eric and Bouchard, Claude and Dehghan, Abbas and Eiriksdottir, Gudny and Elosua, Roberto and Franco, Oscar H and Gieger, Christian and Harris, Tamara B and Hercberg, Serge and Hofman, Albert and James, Alan L and Johnson, Andrew D and K{\"a}h{\"o}nen, Mika and Khaw, Kay-Tee and Kutalik, Zolt{\'a}n and Larson, Martin G and Launer, Lenore J and Li, Guo and Liu, Jianjun and Liu, Kiang and Morrison, Alanna C and Navis, Gerjan and Ong, Rick Twee-Hee and Papanicolau, George J and Penninx, Brenda W and Psaty, Bruce M and Raffel, Leslie J and Raitakari, Olli T and Rice, Kenneth and Rivadeneira, Fernando and Rose, Lynda M and Sanna, Serena and Scott, Robert A and Siscovick, David S and Stolk, Ronald P and Uitterlinden, Andr{\'e} G and Vaidya, Dhananjay and van der Klauw, Melanie M and Vasan, Ramachandran S and Vithana, Eranga Nishanthie and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Hugh and Young, Terri L and Aung, Tin and Bochud, Murielle and Farrall, Martin and Hartman, Catharina A and Laan, Maris and Lakatta, Edward G and Lehtim{\"a}ki, Terho and Loos, Ruth J F and Lucas, Gavin and Meneton, Pierre and Palmer, Lyle J and Rettig, Rainer and Snieder, Harold and Tai, E Shyong and Teo, Yik-Ying and van der Harst, Pim and Wareham, Nicholas J and Wijmenga, Cisca and Wong, Tien Yin and Fornage, Myriam and Gudnason, Vilmundur and Levy, Daniel and Palmas, Walter and Ridker, Paul M and Rotter, Jerome I and van Duijn, Cornelia M and Witteman, Jacqueline C M and Chakravarti, Aravinda and Rao, Dabeeru C} } @article {6368, title = {Gene-centric meta-analyses for central adiposity traits in up to 57 412 individuals of European descent confirm known loci and reveal several novel associations.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 May 01}, pages = {2498-510}, abstract = {

Waist circumference (WC) and waist-to-hip ratio (WHR) are surrogate measures of central adiposity that are associated with adverse cardiovascular events, type 2 diabetes and cancer independent of body mass index (BMI). WC and WHR are highly heritable with multiple susceptibility loci identified to date. We assessed the association between SNPs and BMI-adjusted WC and WHR and unadjusted WC in up to 57 412 individuals of European descent from 22 cohorts collaborating with the NHLBI{\textquoteright}s Candidate Gene Association Resource (CARe) project. The study population consisted of women and men aged 20-80 years. Study participants were genotyped using the ITMAT/Broad/CARE array, which includes \~{}50 000 cosmopolitan tagged SNPs across \~{}2100 cardiovascular-related genes. Each trait was modeled as a function of age, study site and principal components to control for population stratification, and we conducted a fixed-effects meta-analysis. No new loci for WC were observed. For WHR analyses, three novel loci were significantly associated (P < 2.4 {\texttimes} 10(-6)). Previously unreported rs2811337-G near TMCC1 was associated with increased WHR (β {\textpm} SE, 0.048 {\textpm} 0.008, P = 7.7 {\texttimes} 10(-9)) as was rs7302703-G in HOXC10 (β = 0.044 {\textpm} 0.008, P = 2.9 {\texttimes} 10(-7)) and rs936108-C in PEMT (β = 0.035 {\textpm} 0.007, P = 1.9 {\texttimes} 10(-6)). Sex-stratified analyses revealed two additional novel signals among females only, rs12076073-A in SHC1 (β = 0.10 {\textpm} 0.02, P = 1.9 {\texttimes} 10(-6)) and rs1037575-A in ATBDB4 (β = 0.046 {\textpm} 0.01, P = 2.2 {\texttimes} 10(-6)), supporting an already established sexual dimorphism of central adiposity-related genetic variants. Functional analysis using ENCODE and eQTL databases revealed that several of these loci are in regulatory regions or regions with differential expression in adipose tissue.

}, keywords = {Adiposity, Adult, Aged, Aged, 80 and over, Body Mass Index, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Waist Circumference, Waist-Hip Ratio, Young Adult}, issn = {1460-2083}, doi = {10.1093/hmg/ddt626}, author = {Yoneyama, Sachiko and Guo, Yiran and Lanktree, Matthew B and Barnes, Michael R and Elbers, Clara C and Karczewski, Konrad J and Padmanabhan, Sandosh and Bauer, Florianne and Baumert, Jens and Beitelshees, Amber and Berenson, Gerald S and Boer, Jolanda M A and Burke, Gregory and Cade, Brian and Chen, Wei and Cooper-Dehoff, Rhonda M and Gaunt, Tom R and Gieger, Christian and Gong, Yan and Gorski, Mathias and Heard-Costa, Nancy and Johnson, Toby and Lamonte, Michael J and McDonough, Caitrin and Monda, Keri L and Onland-Moret, N Charlotte and Nelson, Christopher P and O{\textquoteright}Connell, Jeffrey R and Ordovas, Jose and Peter, Inga and Peters, Annette and Shaffer, Jonathan and Shen, Haiqinq and Smith, Erin and Speilotes, Liz and Thomas, Fridtjof and Thorand, Barbara and Monique Verschuren, W M and Anand, Sonia S and Dominiczak, Anna and Davidson, Karina W and Hegele, Robert A and Heid, Iris and Hofker, Marten H and Huggins, Gordon S and Illig, Thomas and Johnson, Julie A and Kirkland, Susan and K{\"o}nig, Wolfgang and Langaee, Taimour Y and McCaffery, Jeanne and Melander, Olle and Mitchell, Braxton D and Munroe, Patricia and Murray, Sarah S and Papanicolaou, George and Redline, Susan and Reilly, Muredach and Samani, Nilesh J and Schork, Nicholas J and van der Schouw, Yvonne T and Shimbo, Daichi and Shuldiner, Alan R and Tobin, Martin D and Wijmenga, Cisca and Yusuf, Salim and Hakonarson, Hakon and Lange, Leslie A and Demerath, Ellen W and Fox, Caroline S and North, Kari E and Reiner, Alex P and Keating, Brendan and Taylor, Kira C} } @article {6611, title = {A genetic association study of D-dimer levels with 50K SNPs from a candidate gene chip in four ethnic groups.}, journal = {Thromb Res}, volume = {134}, year = {2014}, month = {2014 Aug}, pages = {462-7}, abstract = {

INTRODUCTION: D-dimer, a fibrin degradation product, is related to risk of cardiovascular disease and venous thromboembolism. Genetic determinants of D-dimer are not well characterized; notably, few data have been reported for African American (AA), Asian, and Hispanic populations.

MATERIALS AND METHODS: We conducted a large-scale candidate gene association study to identify variants in genes associated with D-dimer levels in multi-ethnic populations. Four cohorts, comprising 6,848 European Americans (EAs), 2,192 AAs, 670 Asians, and 1,286 Hispanics in the National Heart, Lung, and Blood Institute Candidate Gene Association Resource consortium, were assembled. Approximately 50,000 genotyped single nucleotide polymorphisms (SNPs) in 2,000 cardiovascular disease gene loci were analyzed by linear regression, adjusting for age, sex, study site, and principal components in each cohort and ethnic group. Results across studies were combined within each ethnic group by meta-analysis.

RESULTS: Twelve SNPs in coagulation factor V (F5) and 3 SNPs in the fibrinogen alpha chain (FGA) were significantly associated with D-dimer level in EAs with p<2.0{\texttimes}10(-6). The signal for the most associated SNP in F5 (rs6025, factor V Leiden) was replicated in Hispanics (p=0.023), while that for the top functional SNP in FGA (rs6050) was replicated in AAs (p=0.006). No additional SNPs were significantly associated with D-dimer.

CONCLUSIONS: Our study replicated previously reported associations of D-dimer with SNPs in F5 and FGA in EAs; we demonstrated replication of the association of D-dimer with FGA rs6050 in AAs and the factor V Leiden variant in Hispanics.

}, keywords = {Adult, Aged, Cardiovascular Diseases, Ethnic Groups, Factor V, Female, Fibrin Fibrinogen Degradation Products, Fibrinogen, Genetic Association Studies, Genotype, Humans, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Young Adult}, issn = {1879-2472}, doi = {10.1016/j.thromres.2014.05.018}, author = {Weng, Lu-Chen and Tang, Weihong and Rich, Stephen S and Smith, Nicholas L and Redline, Susan and O{\textquoteright}Donnell, Christopher J and Basu, Saonli and Reiner, Alexander P and Delaney, Joseph A and Tracy, Russell P and Palmer, Cameron D and Young, Taylor and Yang, Qiong and Folsom, Aaron R and Cushman, Mary} } @article {6544, title = {Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.}, journal = {Nat Genet}, volume = {46}, year = {2014}, month = {2014 Aug}, pages = {826-36}, abstract = {

The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain \~{}8-10\% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD.

}, keywords = {Adult, Aged, Arrhythmias, Cardiac, Calcium Signaling, Death, Sudden, Cardiac, Electrocardiography, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Heart Ventricles, Humans, Long QT Syndrome, Male, Middle Aged, Myocardium, Polymorphism, Single Nucleotide}, issn = {1546-1718}, doi = {10.1038/ng.3014}, author = {Arking, Dan E and Pulit, Sara L and Crotti, Lia and van der Harst, Pim and Munroe, Patricia B and Koopmann, Tamara T and Sotoodehnia, Nona and Rossin, Elizabeth J and Morley, Michael and Wang, Xinchen and Johnson, Andrew D and Lundby, Alicia and Gudbjartsson, Daniel F and Noseworthy, Peter A and Eijgelsheim, Mark and Bradford, Yuki and Tarasov, Kirill V and D{\"o}rr, Marcus and M{\"u}ller-Nurasyid, Martina and Lahtinen, Annukka M and Nolte, Ilja M and Smith, Albert Vernon and Bis, Joshua C and Isaacs, Aaron and Newhouse, Stephen J and Evans, Daniel S and Post, Wendy S and Waggott, Daryl and Lyytik{\"a}inen, Leo-Pekka and Hicks, Andrew A and Eisele, Lewin and Ellinghaus, David and Hayward, Caroline and Navarro, Pau and Ulivi, Sheila and Tanaka, Toshiko and Tester, David J and Chatel, St{\'e}phanie and Gustafsson, Stefan and Kumari, Meena and Morris, Richard W and Naluai, {\r A}sa T and Padmanabhan, Sandosh and Kluttig, Alexander and Strohmer, Bernhard and Panayiotou, Andrie G and Torres, Maria and Knoflach, Michael and Hubacek, Jaroslav A and Slowikowski, Kamil and Raychaudhuri, Soumya and Kumar, Runjun D and Harris, Tamara B and Launer, Lenore J and Shuldiner, Alan R and Alonso, Alvaro and Bader, Joel S and Ehret, Georg and Huang, Hailiang and Kao, W H Linda and Strait, James B and Macfarlane, Peter W and Brown, Morris and Caulfield, Mark J and Samani, Nilesh J and Kronenberg, Florian and Willeit, Johann and Smith, J Gustav and Greiser, Karin H and Meyer Zu Schwabedissen, Henriette and Werdan, Karl and Carella, Massimo and Zelante, Leopoldo and Heckbert, Susan R and Psaty, Bruce M and Rotter, Jerome I and Kolcic, Ivana and Polasek, Ozren and Wright, Alan F and Griffin, Maura and Daly, Mark J and Arnar, David O and Holm, Hilma and Thorsteinsdottir, Unnur and Denny, Joshua C and Roden, Dan M and Zuvich, Rebecca L and Emilsson, Valur and Plump, Andrew S and Larson, Martin G and O{\textquoteright}Donnell, Christopher J and Yin, Xiaoyan and Bobbo, Marco and D{\textquoteright}Adamo, Adamo P and Iorio, Annamaria and Sinagra, Gianfranco and Carracedo, Angel and Cummings, Steven R and Nalls, Michael A and Jula, Antti and Kontula, Kimmo K and Marjamaa, Annukka and Oikarinen, Lasse and Perola, Markus and Porthan, Kimmo and Erbel, Raimund and Hoffmann, Per and J{\"o}ckel, Karl-Heinz and K{\"a}lsch, Hagen and N{\"o}then, Markus M and den Hoed, Marcel and Loos, Ruth J F and Thelle, Dag S and Gieger, Christian and Meitinger, Thomas and Perz, Siegfried and Peters, Annette and Prucha, Hanna and Sinner, Moritz F and Waldenberger, Melanie and de Boer, Rudolf A and Franke, Lude and van der Vleuten, Pieter A and Beckmann, Britt Maria and Martens, Eimo and Bardai, Abdennasser and Hofman, Nynke and Wilde, Arthur A M and Behr, Elijah R and Dalageorgou, Chrysoula and Giudicessi, John R and Medeiros-Domingo, Argelia and Barc, Julien and Kyndt, Florence and Probst, Vincent and Ghidoni, Alice and Insolia, Roberto and Hamilton, Robert M and Scherer, Stephen W and Brandimarto, Jeffrey and Margulies, Kenneth and Moravec, Christine E and del Greco M, Fabiola and Fuchsberger, Christian and O{\textquoteright}Connell, Jeffrey R and Lee, Wai K and Watt, Graham C M and Campbell, Harry and Wild, Sarah H and El Mokhtari, Nour E and Frey, Norbert and Asselbergs, Folkert W and Mateo Leach, Irene and Navis, Gerjan and van den Berg, Maarten P and van Veldhuisen, Dirk J and Kellis, Manolis and Krijthe, Bouwe P and Franco, Oscar H and Hofman, Albert and Kors, Jan A and Uitterlinden, Andr{\'e} G and Witteman, Jacqueline C M and Kedenko, Lyudmyla and Lamina, Claudia and Oostra, Ben A and Abecasis, Goncalo R and Lakatta, Edward G and Mulas, Antonella and Orr{\`u}, Marco and Schlessinger, David and Uda, Manuela and Markus, Marcello R P and V{\"o}lker, Uwe and Snieder, Harold and Spector, Timothy D and Arnl{\"o}v, Johan and Lind, Lars and Sundstr{\"o}m, Johan and Syv{\"a}nen, Ann-Christine and Kivimaki, Mika and K{\"a}h{\"o}nen, Mika and Mononen, Nina and Raitakari, Olli T and Viikari, Jorma S and Adamkova, Vera and Kiechl, Stefan and Brion, Maria and Nicolaides, Andrew N and Paulweber, Bernhard and Haerting, Johannes and Dominiczak, Anna F and Nyberg, Fredrik and Whincup, Peter H and Hingorani, Aroon D and Schott, Jean-Jacques and Bezzina, Connie R and Ingelsson, Erik and Ferrucci, Luigi and Gasparini, Paolo and Wilson, James F and Rudan, Igor and Franke, Andre and M{\"u}hleisen, Thomas W and Pramstaller, Peter P and Lehtim{\"a}ki, Terho J and Paterson, Andrew D and Parsa, Afshin and Liu, Yongmei and van Duijn, Cornelia M and Siscovick, David S and Gudnason, Vilmundur and Jamshidi, Yalda and Salomaa, Veikko and Felix, Stephan B and Sanna, Serena and Ritchie, Marylyn D and Stricker, Bruno H and Stefansson, Kari and Boyer, Laurie A and Cappola, Thomas P and Olsen, Jesper V and Lage, Kasper and Schwartz, Peter J and K{\"a}{\"a}b, Stefan and Chakravarti, Aravinda and Ackerman, Michael J and Pfeufer, Arne and de Bakker, Paul I W and Newton-Cheh, Christopher} } @article {6690, title = {Genetic diversity is a predictor of mortality in humans.}, journal = {BMC Genet}, volume = {15}, year = {2014}, month = {2014}, pages = {159}, abstract = {

BACKGROUND: It has been well-established, both by population genetics theory and direct observation in many organisms, that increased genetic diversity provides a survival advantage. However, given the limitations of both sample size and genome-wide metrics, this hypothesis has not been comprehensively tested in human populations. Moreover, the presence of numerous segregating small effect alleles that influence traits that directly impact health directly raises the question as to whether global measures of genomic variation are themselves associated with human health and disease.

RESULTS: We performed a meta-analysis of 17 cohorts followed prospectively, with a combined sample size of 46,716 individuals, including a total of 15,234 deaths. We find a significant association between increased heterozygosity and survival (P = 0.03). We estimate that within a single population, every standard deviation of heterozygosity an individual has over the mean decreases that person{\textquoteright}s risk of death by 1.57\%.

CONCLUSIONS: This effect was consistent between European and African ancestry cohorts, men and women, and major causes of death (cancer and cardiovascular disease), demonstrating the broad positive impact of genomic diversity on human survival.

}, keywords = {Genome-Wide Association Study, Heterozygote, Humans, Mortality, Polymorphism, Single Nucleotide, Proportional Hazards Models}, issn = {1471-2156}, doi = {10.1186/s12863-014-0159-7}, author = {Bihlmeyer, Nathan A and Brody, Jennifer A and Smith, Albert Vernon and Lunetta, Kathryn L and Nalls, Mike and Smith, Jennifer A and Tanaka, Toshiko and Davies, Gail and Yu, Lei and Mirza, Saira Saeed and Teumer, Alexander and Coresh, Josef and Pankow, James S and Franceschini, Nora and Scaria, Anish and Oshima, Junko and Psaty, Bruce M and Gudnason, Vilmundur and Eiriksdottir, Gudny and Harris, Tamara B and Li, Hanyue and Karasik, David and Kiel, Douglas P and Garcia, Melissa and Liu, Yongmei and Faul, Jessica D and Kardia, Sharon Lr and Zhao, Wei and Ferrucci, Luigi and Allerhand, Michael and Liewald, David C and Redmond, Paul and Starr, John M and De Jager, Philip L and Evans, Denis A and Direk, Nese and Ikram, Mohammed Arfan and Uitterlinden, Andre and Homuth, Georg and Lorbeer, Roberto and Grabe, Hans J and Launer, Lenore and Murabito, Joanne M and Singleton, Andrew B and Weir, David R and Bandinelli, Stefania and Deary, Ian J and Bennett, David A and Tiemeier, Henning and Kocher, Thomas and Lumley, Thomas and Arking, Dan E} } @article {6617, title = {Gene-wide analysis detects two new susceptibility genes for Alzheimer{\textquoteright}s disease.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e94661}, abstract = {

BACKGROUND: Alzheimer{\textquoteright}s disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer{\textquoteright}s Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer{\textquoteright}s cases and 48,466 controls.

PRINCIPAL FINDINGS: In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4{\texttimes}10-6) and 14 (IGHV1-67 p = 7.9{\texttimes}10-8) which indexed novel susceptibility loci.

SIGNIFICANCE: The additional genes identified in this study, have an array of functions previously implicated in Alzheimer{\textquoteright}s disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer{\textquoteright}s disease.

}, keywords = {Alzheimer Disease, Carrier Proteins, Case-Control Studies, Genome-Wide Association Study, Heat-Shock Proteins, Humans, Polymorphism, Single Nucleotide, Receptors, Antigen, B-Cell}, issn = {1932-6203}, doi = {10.1371/journal.pone.0094661}, author = {Escott-Price, Valentina and Bellenguez, C{\'e}line and Wang, Li-San and Choi, Seung-Hoan and Harold, Denise and Jones, Lesley and Holmans, Peter and Gerrish, Amy and Vedernikov, Alexey and Richards, Alexander and DeStefano, Anita L and Lambert, Jean-Charles and Ibrahim-Verbaas, Carla A and Naj, Adam C and Sims, Rebecca and Jun, Gyungah and Bis, Joshua C and Beecham, Gary W and Grenier-Boley, Benjamin and Russo, Giancarlo and Thornton-Wells, Tricia A and Denning, Nicola and Smith, Albert V and Chouraki, Vincent and Thomas, Charlene and Ikram, M Arfan and Zelenika, Diana and Vardarajan, Badri N and Kamatani, Yoichiro and Lin, Chiao-Feng and Schmidt, Helena and Kunkle, Brian and Dunstan, Melanie L and Vronskaya, Maria and Johnson, Andrew D and Ruiz, Agustin and Bihoreau, Marie-Th{\'e}r{\`e}se and Reitz, Christiane and Pasquier, Florence and Hollingworth, Paul and Hanon, Olivier and Fitzpatrick, Annette L and Buxbaum, Joseph D and Campion, Dominique and Crane, Paul K and Baldwin, Clinton and Becker, Tim and Gudnason, Vilmundur and Cruchaga, Carlos and Craig, David and Amin, Najaf and Berr, Claudine and Lopez, Oscar L and De Jager, Philip L and Deramecourt, Vincent and Johnston, Janet A and Evans, Denis and Lovestone, Simon and Letenneur, Luc and Hernandez, Isabel and Rubinsztein, David C and Eiriksdottir, Gudny and Sleegers, Kristel and Goate, Alison M and Fi{\'e}vet, Nathalie and Huentelman, Matthew J and Gill, Michael and Brown, Kristelle and Kamboh, M Ilyas and Keller, Lina and Barberger-Gateau, Pascale and McGuinness, Bernadette and Larson, Eric B and Myers, Amanda J and Dufouil, Carole and Todd, Stephen and Wallon, David and Love, Seth and Rogaeva, Ekaterina and Gallacher, John and George-Hyslop, Peter St and Clarimon, Jordi and Lleo, Alberto and Bayer, Anthony and Tsuang, Debby W and Yu, Lei and Tsolaki, Magda and Boss{\`u}, Paola and Spalletta, Gianfranco and Proitsi, Petra and Collinge, John and Sorbi, Sandro and Garcia, Florentino Sanchez and Fox, Nick C and Hardy, John and Naranjo, Maria Candida Deniz and Bosco, Paolo and Clarke, Robert and Brayne, Carol and Galimberti, Daniela and Scarpini, Elio and Bonuccelli, Ubaldo and Mancuso, Michelangelo and Siciliano, Gabriele and Moebus, Susanne and Mecocci, Patrizia and Zompo, Maria Del and Maier, Wolfgang and Hampel, Harald and Pilotto, Alberto and Frank-Garc{\'\i}a, Ana and Panza, Francesco and Solfrizzi, Vincenzo and Caffarra, Paolo and Nacmias, Benedetta and Perry, William and Mayhaus, Manuel and Lannfelt, Lars and Hakonarson, Hakon and Pichler, Sabrina and Carrasquillo, Minerva M and Ingelsson, Martin and Beekly, Duane and Alvarez, Victoria and Zou, Fanggeng and Valladares, Otto and Younkin, Steven G and Coto, Eliecer and Hamilton-Nelson, Kara L and Gu, Wei and Razquin, Cristina and Pastor, Pau and Mateo, Ignacio and Owen, Michael J and Faber, Kelley M and Jonsson, Palmi V and Combarros, Onofre and O{\textquoteright}Donovan, Michael C and Cantwell, Laura B and Soininen, Hilkka and Blacker, Deborah and Mead, Simon and Mosley, Thomas H and Bennett, David A and Harris, Tamara B and Fratiglioni, Laura and Holmes, Clive and de Bruijn, Renee F A G and Passmore, Peter and Montine, Thomas J and Bettens, Karolien and Rotter, Jerome I and Brice, Alexis and Morgan, Kevin and Foroud, Tatiana M and Kukull, Walter A and Hannequin, Didier and Powell, John F and Nalls, Michael A and Ritchie, Karen and Lunetta, Kathryn L and Kauwe, John S K and Boerwinkle, Eric and Riemenschneider, Matthias and Boada, Merce and Hiltunen, Mikko and Martin, Eden R and Schmidt, Reinhold and Rujescu, Dan and Dartigues, Jean-Fran{\c c}ois and Mayeux, Richard and Tzourio, Christophe and Hofman, Albert and N{\"o}then, Markus M and Graff, Caroline and Psaty, Bruce M and Haines, Jonathan L and Lathrop, Mark and Pericak-Vance, Margaret A and Launer, Lenore J and Van Broeckhoven, Christine and Farrer, Lindsay A and van Duijn, Cornelia M and Ramirez, Alfredo and Seshadri, Sudha and Schellenberg, Gerard D and Amouyel, Philippe and Williams, Julie} } @article {6582, title = {Genome-wide association analysis identifies six new loci associated with forced vital capacity.}, journal = {Nat Genet}, volume = {46}, year = {2014}, month = {2014 Jul}, pages = {669-77}, abstract = {

Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 {\texttimes} 10(-8)) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease.

}, keywords = {Cohort Studies, Databases, Genetic, Follow-Up Studies, Forced Expiratory Volume, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Lung Diseases, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Prognosis, Quantitative Trait Loci, Respiratory Function Tests, Spirometry, Vital Capacity}, issn = {1546-1718}, doi = {10.1038/ng.3011}, author = {Loth, Daan W and Soler Artigas, Maria and Gharib, Sina A and Wain, Louise V and Franceschini, Nora and Koch, Beate and Pottinger, Tess D and Smith, Albert Vernon and Duan, Qing and Oldmeadow, Chris and Lee, Mi Kyeong and Strachan, David P and James, Alan L and Huffman, Jennifer E and Vitart, Veronique and Ramasamy, Adaikalavan and Wareham, Nicholas J and Kaprio, Jaakko and Wang, Xin-Qun and Trochet, Holly and K{\"a}h{\"o}nen, Mika and Flexeder, Claudia and Albrecht, Eva and Lopez, Lorna M and de Jong, Kim and Thyagarajan, Bharat and Alves, Alexessander Couto and Enroth, Stefan and Omenaas, Ernst and Joshi, Peter K and Fall, Tove and Vi{\~n}uela, Ana and Launer, Lenore J and Loehr, Laura R and Fornage, Myriam and Li, Guo and Wilk, Jemma B and Tang, Wenbo and Manichaikul, Ani and Lahousse, Lies and Harris, Tamara B and North, Kari E and Rudnicka, Alicja R and Hui, Jennie and Gu, Xiangjun and Lumley, Thomas and Wright, Alan F and Hastie, Nicholas D and Campbell, Susan and Kumar, Rajesh and Pin, Isabelle and Scott, Robert A and Pietil{\"a}inen, Kirsi H and Surakka, Ida and Liu, Yongmei and Holliday, Elizabeth G and Schulz, Holger and Heinrich, Joachim and Davies, Gail and Vonk, Judith M and Wojczynski, Mary and Pouta, Anneli and Johansson, Asa and Wild, Sarah H and Ingelsson, Erik and Rivadeneira, Fernando and V{\"o}lzke, Henry and Hysi, Pirro G and Eiriksdottir, Gudny and Morrison, Alanna C and Rotter, Jerome I and Gao, Wei and Postma, Dirkje S and White, Wendy B and Rich, Stephen S and Hofman, Albert and Aspelund, Thor and Couper, David and Smith, Lewis J and Psaty, Bruce M and Lohman, Kurt and Burchard, Esteban G and Uitterlinden, Andr{\'e} G and Garcia, Melissa and Joubert, Bonnie R and McArdle, Wendy L and Musk, A Bill and Hansel, Nadia and Heckbert, Susan R and Zgaga, Lina and van Meurs, Joyce B J and Navarro, Pau and Rudan, Igor and Oh, Yeon-Mok and Redline, Susan and Jarvis, Deborah L and Zhao, Jing Hua and Rantanen, Taina and O{\textquoteright}Connor, George T and Ripatti, Samuli and Scott, Rodney J and Karrasch, Stefan and Grallert, Harald and Gaddis, Nathan C and Starr, John M and Wijmenga, Cisca and Minster, Ryan L and Lederer, David J and Pekkanen, Juha and Gyllensten, Ulf and Campbell, Harry and Morris, Andrew P and Gl{\"a}ser, Sven and Hammond, Christopher J and Burkart, Kristin M and Beilby, John and Kritchevsky, Stephen B and Gudnason, Vilmundur and Hancock, Dana B and Williams, O Dale and Polasek, Ozren and Zemunik, Tatijana and Kolcic, Ivana and Petrini, Marcy F and Wjst, Matthias and Kim, Woo Jin and Porteous, David J and Scotland, Generation and Smith, Blair H and Viljanen, Anne and Heli{\"o}vaara, Markku and Attia, John R and Sayers, Ian and Hampel, Regina and Gieger, Christian and Deary, Ian J and Boezen, H Marike and Newman, Anne and Jarvelin, Marjo-Riitta and Wilson, James F and Lind, Lars and Stricker, Bruno H and Teumer, Alexander and Spector, Timothy D and Mel{\'e}n, Erik and Peters, Marjolein J and Lange, Leslie A and Barr, R Graham and Bracke, Ken R and Verhamme, Fien M and Sung, Joohon and Hiemstra, Pieter S and Cassano, Patricia A and Sood, Akshay and Hayward, Caroline and Dupuis, Jos{\'e}e and Hall, Ian P and Brusselle, Guy G and Tobin, Martin D and London, Stephanie J} } @article {6367, title = {Genome-wide association study for circulating tissue plasminogen activator levels and functional follow-up implicates endothelial STXBP5 and STX2.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {34}, year = {2014}, month = {2014 May}, pages = {1093-101}, abstract = {

OBJECTIVE: Tissue plasminogen activator (tPA), a serine protease, catalyzes the conversion of plasminogen to plasmin, the major enzyme responsible for endogenous fibrinolysis. In some populations, elevated plasma levels of tPA have been associated with myocardial infarction and other cardiovascular diseases. We conducted a meta-analysis of genome-wide association studies to identify novel correlates of circulating levels of tPA.

APPROACH AND RESULTS: Fourteen cohort studies with tPA measures (N=26 929) contributed to the meta-analysis. Three loci were significantly associated with circulating tPA levels (P<5.0{\texttimes}10(-8)). The first locus is on 6q24.3, with the lead single nucleotide polymorphism (SNP; rs9399599; P=2.9{\texttimes}10(-14)) within STXBP5. The second locus is on 8p11.21. The lead SNP (rs3136739; P=1.3{\texttimes}10(-9)) is intronic to POLB and <200 kb away from the tPA encoding the gene PLAT. We identified a nonsynonymous SNP (rs2020921) in modest linkage disequilibrium with rs3136739 (r(2)=0.50) within exon 5 of PLAT (P=2.0{\texttimes}10(-8)). The third locus is on 12q24.33, with the lead SNP (rs7301826; P=1.0{\texttimes}10(-9)) within intron 7 of STX2. We further found evidence for the association of lead SNPs in STXBP5 and STX2 with expression levels of the respective transcripts. In in vitro cell studies, silencing STXBP5 decreased the release of tPA from vascular endothelial cells, whereas silencing STX2 increased the tPA release. Through an in silico lookup, we found no associations of the 3 lead SNPs with coronary artery disease or stroke.

CONCLUSIONS: We identified 3 loci associated with circulating tPA levels, the PLAT region, STXBP5, and STX2. Our functional studies implicate a novel role for STXBP5 and STX2 in regulating tPA release.

}, keywords = {Aged, Cells, Cultured, Coronary Artery Disease, Endothelial Cells, Europe, Female, Gene Expression Regulation, Gene Silencing, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Phenotype, Polymorphism, Single Nucleotide, R-SNARE Proteins, Risk Factors, Stroke, Syntaxin 1, Tissue Plasminogen Activator, Transfection, United States, Up-Regulation}, issn = {1524-4636}, doi = {10.1161/ATVBAHA.113.302088}, author = {Huang, Jie and Huffman, Jennifer E and Yamakuchi, Munekazu and Yamkauchi, Munekazu and Trompet, Stella and Asselbergs, Folkert W and Sabater-Lleal, Maria and Tr{\'e}gou{\"e}t, David-Alexandre and Chen, Wei-Min and Smith, Nicholas L and Kleber, Marcus E and Shin, So-Youn and Becker, Diane M and Tang, Weihong and Dehghan, Abbas and Johnson, Andrew D and Truong, Vinh and Folkersen, Lasse and Yang, Qiong and Oudot-Mellkah, Tiphaine and Buckley, Brendan M and Moore, Jason H and Williams, Frances M K and Campbell, Harry and Silbernagel, G{\"u}nther and Vitart, Veronique and Rudan, Igor and Tofler, Geoffrey H and Navis, Gerjan J and DeStefano, Anita and Wright, Alan F and Chen, Ming-Huei and de Craen, Anton J M and Worrall, Bradford B and Rudnicka, Alicja R and Rumley, Ann and Bookman, Ebony B and Psaty, Bruce M and Chen, Fang and Keene, Keith L and Franco, Oscar H and B{\"o}hm, Bernhard O and Uitterlinden, Andr{\'e} G and Carter, Angela M and Jukema, J Wouter and Sattar, Naveed and Bis, Joshua C and Ikram, Mohammad A and Sale, Mich{\`e}le M and McKnight, Barbara and Fornage, Myriam and Ford, Ian and Taylor, Kent and Slagboom, P Eline and McArdle, Wendy L and Hsu, Fang-Chi and Franco-Cereceda, Anders and Goodall, Alison H and Yanek, Lisa R and Furie, Karen L and Cushman, Mary and Hofman, Albert and Witteman, Jacqueline C M and Folsom, Aaron R and Basu, Saonli and Matijevic, Nena and van Gilst, Wiek H and Wilson, James F and Westendorp, Rudi G J and Kathiresan, Sekar and Reilly, Muredach P and Tracy, Russell P and Polasek, Ozren and Winkelmann, Bernhard R and Grant, Peter J and Hillege, Hans L and Cambien, Francois and Stott, David J and Lowe, Gordon D and Spector, Timothy D and Meigs, James B and M{\"a}rz, Winfried and Eriksson, Per and Becker, Lewis C and Morange, Pierre-Emmanuel and Soranzo, Nicole and Williams, Scott M and Hayward, Caroline and van der Harst, Pim and Hamsten, Anders and Lowenstein, Charles J and Strachan, David P and O{\textquoteright}Donnell, Christopher J} } @article {6819, title = {Genome-wide association study of L-arginine and dimethylarginines reveals novel metabolic pathway for symmetric dimethylarginine.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Dec}, pages = {864-72}, abstract = {

BACKGROUND: Dimethylarginines (DMA) interfere with nitric oxide formation by inhibiting nitric oxide synthase (asymmetrical DMA [ADMA]) and l-arginine uptake into the cell (ADMA and symmetrical DMA [SDMA]). In prospective clinical studies, ADMA has been characterized as a cardiovascular risk marker, whereas SDMA is a novel marker for renal function and associated with all-cause mortality after ischemic stroke. The aim of the current study was to characterize the environmental and genetic contributions to interindividual variability of these biomarkers.

METHODS AND RESULTS: This study comprised a genome-wide association analysis of 3 well-characterized population-based cohorts (Framingham Heart Study [FHS; n=2992], Gutenberg Health Study [GHS; n=4354], and Multinational Monitoring of Trends and Determinants in Cardiovascular Disease Study [MONICA]/Cooperative Health Research in the Augsburg Area, Augsburg, Bavaria, Germany [KORA] F3 [n=581]) and identified replicated loci (DDAH1, MED23, Arg1, and AGXT2) associated with the interindividual variability in ADMA, l-arginine, and SDMA. Experimental in silico and in vitro studies confirmed functional significance of the identified AGXT2 variants. Clinical outcome analysis in 384 patients of the Leeds stroke study demonstrated an association between increased plasma levels of SDMA, AGXT2 variants, and various cardiometabolic risk factors. AGXT2 variants were not associated with poststroke survival in the Leeds study or were they associated with incident stroke in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

CONCLUSIONS: These genome-wide association study support the importance of DDAH1 and MED23/Arg1 in regulating ADMA and l-arginine metabolism, respectively, and identify a novel regulatory renal pathway for SDMA by AGXT2. AGXT2 variants might explain part of the pathogenic link between SDMA, renal function, and outcome. An association between AGXT2 variants and stroke is unclear and warrants further investigation.

}, keywords = {Adult, Aged, Amidohydrolases, Arginine, Binding Sites, Cohort Studies, Female, Genetic Loci, Genome-Wide Association Study, Genotype, HEK293 Cells, Humans, Male, Mediator Complex, Middle Aged, Polymorphism, Single Nucleotide, Protein Structure, Tertiary, Risk Factors, Stroke, Substrate Specificity, Transaminases}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000264}, author = {L{\"u}neburg, Nicole and Lieb, Wolfgang and Zeller, Tanja and Chen, Ming-Huei and Maas, Renke and Carter, Angela M and Xanthakis, Vanessa and Glazer, Nicole L and Schwedhelm, Edzard and Seshadri, Sudha and Ikram, Mohammad Arfan and Longstreth, William T and Fornage, Myriam and K{\"o}nig, Inke R and Loley, Christina and Ojeda, Francisco M and Schillert, Arne and Wang, Thomas J and Sticht, Heinrich and Kittel, Anja and K{\"o}nig, J{\"o}rg and Benjamin, Emelia J and Sullivan, Lisa M and Bernges, Isabel and Anderssohn, Maike and Ziegler, Andreas and Gieger, Christian and Illig, Thomas and Meisinger, Christa and Wichmann, H-Erich and Wild, Philipp S and Schunkert, Heribert and Psaty, Bruce M and Wiggins, Kerri L and Heckbert, Susan R and Smith, Nicholas and Lackner, Karl and Lunetta, Kathryn L and Blankenberg, Stefan and Erdmann, Jeanette and M{\"u}nzel, Thomas and Grant, Peter J and Vasan, Ramachandran S and B{\"o}ger, Rainer H} } @article {6559, title = {Glycated hemoglobin measurement and prediction of cardiovascular disease.}, journal = {JAMA}, volume = {311}, year = {2014}, month = {2014 Mar 26}, pages = {1225-33}, abstract = {

IMPORTANCE: The value of measuring levels of glycated hemoglobin (HbA1c) for the prediction of first cardiovascular events is uncertain.

OBJECTIVE: To determine whether adding information on HbA1c values to conventional cardiovascular risk factors is associated with improvement in prediction of cardiovascular disease (CVD) risk.

DESIGN, SETTING, AND PARTICIPANTS: Analysis of individual-participant data available from 73 prospective studies involving 294,998 participants without a known history of diabetes mellitus or CVD at the baseline assessment.

MAIN OUTCOMES AND MEASURES: Measures of risk discrimination for CVD outcomes (eg, C-index) and reclassification (eg, net reclassification improvement) of participants across predicted 10-year risk categories of low (<5\%), intermediate (5\% to <7.5\%), and high (>= 7.5\%) risk.

RESULTS: During a median follow-up of 9.9 (interquartile range, 7.6-13.2) years, 20,840 incident fatal and nonfatal CVD outcomes (13,237 coronary heart disease and 7603 stroke outcomes) were recorded. In analyses adjusted for several conventional cardiovascular risk factors, there was an approximately J-shaped association between HbA1c values and CVD risk. The association between HbA1c values and CVD risk changed only slightly after adjustment for total cholesterol and triglyceride concentrations or estimated glomerular filtration rate, but this association attenuated somewhat after adjustment for concentrations of high-density lipoprotein cholesterol and C-reactive protein. The C-index for a CVD risk prediction model containing conventional cardiovascular risk factors alone was 0.7434 (95\% CI, 0.7350 to 0.7517). The addition of information on HbA1c was associated with a C-index change of 0.0018 (0.0003 to 0.0033) and a net reclassification improvement of 0.42 (-0.63 to 1.48) for the categories of predicted 10-year CVD risk. The improvement provided by HbA1c assessment in prediction of CVD risk was equal to or better than estimated improvements for measurement of fasting, random, or postload plasma glucose levels.

CONCLUSIONS AND RELEVANCE: In a study of individuals without known CVD or diabetes, additional assessment of HbA1c values in the context of CVD risk assessment provided little incremental benefit for prediction of CVD risk.

}, keywords = {Aged, C-Reactive Protein, Cholesterol, HDL, Coronary Disease, Diabetes Mellitus, Female, Glycated Hemoglobin A, Humans, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Risk Assessment, Stroke}, issn = {1538-3598}, doi = {10.1001/jama.2014.1873}, author = {Di Angelantonio, Emanuele and Gao, Pei and Khan, Hassan and Butterworth, Adam S and Wormser, David and Kaptoge, Stephen and Kondapally Seshasai, Sreenivasa Rao and Thompson, Alex and Sarwar, Nadeem and Willeit, Peter and Ridker, Paul M and Barr, Elizabeth L M and Khaw, Kay-Tee and Psaty, Bruce M and Brenner, Hermann and Balkau, Beverley and Dekker, Jacqueline M and Lawlor, Debbie A and Daimon, Makoto and Willeit, Johann and Nj{\o}lstad, Inger and Nissinen, Aulikki and Brunner, Eric J and Kuller, Lewis H and Price, Jackie F and Sundstr{\"o}m, Johan and Knuiman, Matthew W and Feskens, Edith J M and Verschuren, W M M and Wald, Nicholas and Bakker, Stephan J L and Whincup, Peter H and Ford, Ian and Goldbourt, Uri and G{\'o}mez-de-la-C{\'a}mara, Agust{\'\i}n and Gallacher, John and Simons, Leon A and Rosengren, Annika and Sutherland, Susan E and Bj{\"o}rkelund, Cecilia and Blazer, Dan G and Wassertheil-Smoller, Sylvia and Onat, Altan and Mar{\'\i}n Iba{\~n}ez, Alejandro and Casiglia, Edoardo and Jukema, J Wouter and Simpson, Lara M and Giampaoli, Simona and Nordestgaard, B{\o}rge G and Selmer, Randi and Wennberg, Patrik and Kauhanen, Jussi and Salonen, Jukka T and Dankner, Rachel and Barrett-Connor, Elizabeth and Kavousi, Maryam and Gudnason, Vilmundur and Evans, Denis and Wallace, Robert B and Cushman, Mary and D{\textquoteright}Agostino, Ralph B and Umans, Jason G and Kiyohara, Yutaka and Nakagawa, Hidaeki and Sato, Shinichi and Gillum, Richard F and Folsom, Aaron R and van der Schouw, Yvonne T and Moons, Karel G and Griffin, Simon J and Sattar, Naveed and Wareham, Nicholas J and Selvin, Elizabeth and Thompson, Simon G and Danesh, John} } @article {6294, title = {Identification of novel genetic Loci associated with thyroid peroxidase antibodies and clinical thyroid disease.}, journal = {PLoS Genet}, volume = {10}, year = {2014}, month = {2014 Feb}, pages = {e1004123}, abstract = {

Autoimmune thyroid diseases (AITD) are common, affecting 2-5\% of the general population. Individuals with positive thyroid peroxidase antibodies (TPOAbs) have an increased risk of autoimmune hypothyroidism (Hashimoto{\textquoteright}s thyroiditis), as well as autoimmune hyperthyroidism (Graves{\textquoteright} disease). As the possible causative genes of TPOAbs and AITD remain largely unknown, we performed GWAS meta-analyses in 18,297 individuals for TPOAb-positivity (1769 TPOAb-positives and 16,528 TPOAb-negatives) and in 12,353 individuals for TPOAb serum levels, with replication in 8,990 individuals. Significant associations (P<5{\texttimes}10(-8)) were detected at TPO-rs11675434, ATXN2-rs653178, and BACH2-rs10944479 for TPOAb-positivity, and at TPO-rs11675434, MAGI3-rs1230666, and KALRN-rs2010099 for TPOAb levels. Individual and combined effects (genetic risk scores) of these variants on (subclinical) hypo- and hyperthyroidism, goiter and thyroid cancer were studied. Individuals with a high genetic risk score had, besides an increased risk of TPOAb-positivity (OR: 2.18, 95\% CI 1.68-2.81, P = 8.1{\texttimes}10(-8)), a higher risk of increased thyroid-stimulating hormone levels (OR: 1.51, 95\% CI 1.26-1.82, P = 2.9{\texttimes}10(-6)), as well as a decreased risk of goiter (OR: 0.77, 95\% CI 0.66-0.89, P = 6.5{\texttimes}10(-4)). The MAGI3 and BACH2 variants were associated with an increased risk of hyperthyroidism, which was replicated in an independent cohort of patients with Graves{\textquoteright} disease (OR: 1.37, 95\% CI 1.22-1.54, P = 1.2{\texttimes}10(-7) and OR: 1.25, 95\% CI 1.12-1.39, P = 6.2{\texttimes}10(-5)). The MAGI3 variant was also associated with an increased risk of hypothyroidism (OR: 1.57, 95\% CI 1.18-2.10, P = 1.9{\texttimes}10(-3)). This first GWAS meta-analysis for TPOAbs identified five newly associated loci, three of which were also associated with clinical thyroid disease. With these markers we identified a large subgroup in the general population with a substantially increased risk of TPOAbs. The results provide insight into why individuals with thyroid autoimmunity do or do not eventually develop thyroid disease, and these markers may therefore predict which TPOAb-positives are particularly at risk of developing clinical thyroid dysfunction.

}, keywords = {Autoantibodies, Genetic Loci, Genome-Wide Association Study, Graves Disease, Hashimoto Disease, Humans, Iodide Peroxidase, Risk Factors, Thyroiditis, Autoimmune, Thyrotropin}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1004123}, author = {Medici, Marco and Porcu, Eleonora and Pistis, Giorgio and Teumer, Alexander and Brown, Suzanne J and Jensen, Richard A and Rawal, Rajesh and Roef, Greet L and Plantinga, Theo S and Vermeulen, Sita H and Lahti, Jari and Simmonds, Matthew J and Husemoen, Lise Lotte N and Freathy, Rachel M and Shields, Beverley M and Pietzner, Diana and Nagy, Rebecca and Broer, Linda and Chaker, Layal and Korevaar, Tim I M and Plia, Maria Grazia and Sala, Cinzia and V{\"o}lker, Uwe and Richards, J Brent and Sweep, Fred C and Gieger, Christian and Corre, Tanguy and Kajantie, Eero and Thuesen, Betina and Taes, Youri E and Visser, W Edward and Hattersley, Andrew T and Kratzsch, J{\"u}rgen and Hamilton, Alexander and Li, Wei and Homuth, Georg and Lobina, Monia and Mariotti, Stefano and Soranzo, Nicole and Cocca, Massimiliano and Nauck, Matthias and Spielhagen, Christin and Ross, Alec and Arnold, Alice and van de Bunt, Martijn and Liyanarachchi, Sandya and Heier, Margit and Grabe, Hans J{\"o}rgen and Masciullo, Corrado and Galesloot, Tessel E and Lim, Ee M and Reischl, Eva and Leedman, Peter J and Lai, Sandra and Delitala, Alessandro and Bremner, Alexandra P and Philips, David I W and Beilby, John P and Mulas, Antonella and Vocale, Matteo and Abecasis, Goncalo and Forsen, Tom and James, Alan and Widen, Elisabeth and Hui, Jennie and Prokisch, Holger and Rietzschel, Ernst E and Palotie, Aarno and Feddema, Peter and Fletcher, Stephen J and Schramm, Katharina and Rotter, Jerome I and Kluttig, Alexander and Radke, D{\"o}rte and Traglia, Michela and Surdulescu, Gabriela L and He, Huiling and Franklyn, Jayne A and Tiller, Daniel and Vaidya, Bijay and De Meyer, Tim and J{\o}rgensen, Torben and Eriksson, Johan G and O{\textquoteright}Leary, Peter C and Wichmann, Eric and Hermus, Ad R and Psaty, Bruce M and Ittermann, Till and Hofman, Albert and Bosi, Emanuele and Schlessinger, David and Wallaschofski, Henri and Pirastu, Nicola and Aulchenko, Yurii S and de la Chapelle, Albert and Netea-Maier, Romana T and Gough, Stephen C L and Meyer Zu Schwabedissen, Henriette and Frayling, Timothy M and Kaufman, Jean-Marc and Linneberg, Allan and R{\"a}ikk{\"o}nen, Katri and Smit, Johannes W A and Kiemeney, Lambertus A and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Walsh, John P and Meisinger, Christa and den Heijer, Martin and Visser, Theo J and Spector, Timothy D and Wilson, Scott G and V{\"o}lzke, Henry and Cappola, Anne and Toniolo, Daniela and Sanna, Serena and Naitza, Silvia and Peeters, Robin P} } @article {6600, title = {Integrating genetic, transcriptional, and functional analyses to identify 5 novel genes for atrial fibrillation.}, journal = {Circulation}, volume = {130}, year = {2014}, month = {2014 Oct 7}, pages = {1225-35}, abstract = {

BACKGROUND: Atrial fibrillation (AF) affects >30 million individuals worldwide and is associated with an increased risk of stroke, heart failure, and death. AF is highly heritable, yet the genetic basis for the arrhythmia remains incompletely understood.

METHODS AND RESULTS: To identify new AF-related genes, we used a multifaceted approach, combining large-scale genotyping in 2 ethnically distinct populations, cis-eQTL (expression quantitative trait loci) mapping, and functional validation. Four novel loci were identified in individuals of European descent near the genes NEURL (rs12415501; relative risk [RR]=1.18; 95\% confidence interval [CI], 1.13-1.23; P=6.5{\texttimes}10(-16)), GJA1 (rs13216675; RR=1.10; 95\% CI, 1.06-1.14; P=2.2{\texttimes}10(-8)), TBX5 (rs10507248; RR=1.12; 95\% CI, 1.08-1.16; P=5.7{\texttimes}10(-11)), and CAND2 (rs4642101; RR=1.10; 95\% CI, 1.06-1.14; P=9.8{\texttimes}10(-9)). In Japanese, novel loci were identified near NEURL (rs6584555; RR=1.32; 95\% CI, 1.26-1.39; P=2.0{\texttimes}10(-25)) and CUX2 (rs6490029; RR=1.12; 95\% CI, 1.08-1.16; P=3.9{\texttimes}10(-9)). The top single-nucleotide polymorphisms or their proxies were identified as cis-eQTLs for the genes CAND2 (P=2.6{\texttimes}10(-19)), GJA1 (P=2.66{\texttimes}10(-6)), and TBX5 (P=1.36{\texttimes}10(-5)). Knockdown of the zebrafish orthologs of NEURL and CAND2 resulted in prolongation of the atrial action potential duration (17\% and 45\%, respectively).

CONCLUSIONS: We have identified 5 novel loci for AF. Our results expand the diversity of genetic pathways implicated in AF and provide novel molecular targets for future biological and pharmacological investigation.

}, keywords = {Aged, Animals, Atrial Fibrillation, Chromosome Mapping, Connexin 43, Europe, Female, Gene Knockdown Techniques, Genetic Loci, Genetic Predisposition to Disease, Genotype, Homeodomain Proteins, Humans, Japan, Male, Middle Aged, Muscle Proteins, Nuclear Proteins, Quantitative Trait Loci, Repressor Proteins, T-Box Domain Proteins, Transcription Factors, Ubiquitin-Protein Ligases, Zebrafish, Zebrafish Proteins}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.114.009892}, author = {Sinner, Moritz F and Tucker, Nathan R and Lunetta, Kathryn L and Ozaki, Kouichi and Smith, J Gustav and Trompet, Stella and Bis, Joshua C and Lin, Honghuang and Chung, Mina K and Nielsen, Jonas B and Lubitz, Steven A and Krijthe, Bouwe P and Magnani, Jared W and Ye, Jiangchuan and Gollob, Michael H and Tsunoda, Tatsuhiko and M{\"u}ller-Nurasyid, Martina and Lichtner, Peter and Peters, Annette and Dolmatova, Elena and Kubo, Michiaki and Smith, Jonathan D and Psaty, Bruce M and Smith, Nicholas L and Jukema, J Wouter and Chasman, Daniel I and Albert, Christine M and Ebana, Yusuke and Furukawa, Tetsushi and Macfarlane, Peter W and Harris, Tamara B and Darbar, Dawood and D{\"o}rr, Marcus and Holst, Anders G and Svendsen, Jesper H and Hofman, Albert and Uitterlinden, Andr{\'e} G and Gudnason, Vilmundur and Isobe, Mitsuaki and Malik, Rainer and Dichgans, Martin and Rosand, Jonathan and Van Wagoner, David R and Benjamin, Emelia J and Milan, David J and Melander, Olle and Heckbert, Susan R and Ford, Ian and Liu, Yongmei and Barnard, John and Olesen, Morten S and Stricker, Bruno H C and Tanaka, Toshihiro and K{\"a}{\"a}b, Stefan and Ellinor, Patrick T} } @article {6364, title = {Kidney function and cognitive health in older adults: the Cardiovascular Health Study.}, journal = {Am J Epidemiol}, volume = {180}, year = {2014}, month = {2014 Jul 01}, pages = {68-75}, abstract = {

Recent evidence has demonstrated the importance of kidney function in healthy aging. We examined the association between kidney function and change in cognitive function in 3,907 participants in the Cardiovascular Health Study who were recruited from 4 US communities and studied from 1992 to 1999. Kidney function was measured by cystatin C-based estimated glomerular filtration rate (eGFRcys). Cognitive function was assessed using the Modified Mini-Mental State Examination and the Digit Symbol Substitution Test, which were administered up to 7 times during annual visits. There was an association between eGFRcys and change in cognitive function after adjustment for confounders; persons with an eGFRcys of less than 60 mL/minute/1.73 m(2) had a 0.64 (95\% confidence interval: 0.51, 0.77) points/year faster decline in Modified Mini-Mental State Examination score and a 0.42 (95\% confidence interval: 0.28, 0.56) points/year faster decline in Digit Symbol Substitution Test score compared with persons with an eGFRcys of 90 or more mL/minute/1.73 m(2). Additional adjustment for intermediate cardiovascular events modestly affected these associations. Participants with an eGFRcys of less than 60 mL/minute/1.73 m(2) had fewer cognitive impairment-free life-years on average compared with those with eGFRcys of 90 or more mL/minute/1.73 m(2), independent of confounders and mediating cardiovascular events (mean difference = -0.44, 95\% confidence interval: -0.62, -0.26). Older adults with lower kidney function are at higher risk of worsening cognitive function.

}, keywords = {Aged, Cardiovascular Diseases, Cognition, Cognition Disorders, Cystatin C, Female, Glomerular Filtration Rate, Health Status, Humans, Kidney, Kidney Diseases, Male, Neuropsychological Tests}, issn = {1476-6256}, doi = {10.1093/aje/kwu102}, author = {Darsie, Brendan and Shlipak, Michael G and Sarnak, Mark J and Katz, Ronit and Fitzpatrick, Annette L and Odden, Michelle C} } @article {6604, title = {Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e100776}, abstract = {

BACKGROUND: Genome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function.

METHODS: We performed GWAS of the rate of change in forced expiratory volume in the first second (FEV1) in 14 longitudinal, population-based cohort studies comprising 27,249 adults of European ancestry using linear mixed effects model and combined cohort-specific results using fixed effect meta-analysis to identify novel genetic loci associated with longitudinal change in lung function. Gene expression analyses were subsequently performed for identified genetic loci. As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis.

RESULTS: The overall meta-analysis produced suggestive evidence for association at the novel IL16/STARD5/TMC3 locus on chromosome 15 (P  =  5.71 {\texttimes} 10(-7)). In addition, meta-analysis using the five cohorts with >=3 FEV1 measurements per participant identified the novel ME3 locus on chromosome 11 (P  =  2.18 {\texttimes} 10(-8)) at genome-wide significance. Neither locus was associated with FEV1 decline in two additional cohort studies. We confirmed gene expression of IL16, STARD5, and ME3 in multiple lung tissues. Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. Irrespective of genotypes, the combined estimate for FEV1 decline was 26.9, 29.2 and 35.7 mL/year in never, former, and persistent smokers, respectively.

CONCLUSIONS: In this large-scale GWAS, we identified two novel genetic loci in association with the rate of change in FEV1 that harbor candidate genes with biologically plausible functional links to lung function.

}, keywords = {Adult, Chromosomes, Human, Pair 11, Female, Gene Expression Regulation, Genetic Loci, Genome-Wide Association Study, Humans, Longitudinal Studies, Male, Respiration}, issn = {1932-6203}, doi = {10.1371/journal.pone.0100776}, author = {Tang, Wenbo and Kowgier, Matthew and Loth, Daan W and Soler Artigas, Maria and Joubert, Bonnie R and Hodge, Emily and Gharib, Sina A and Smith, Albert V and Ruczinski, Ingo and Gudnason, Vilmundur and Mathias, Rasika A and Harris, Tamara B and Hansel, Nadia N and Launer, Lenore J and Barnes, Kathleen C and Hansen, Joyanna G and Albrecht, Eva and Aldrich, Melinda C and Allerhand, Michael and Barr, R Graham and Brusselle, Guy G and Couper, David J and Curjuric, Ivan and Davies, Gail and Deary, Ian J and Dupuis, Jos{\'e}e and Fall, Tove and Foy, Millennia and Franceschini, Nora and Gao, Wei and Gl{\"a}ser, Sven and Gu, Xiangjun and Hancock, Dana B and Heinrich, Joachim and Hofman, Albert and Imboden, Medea and Ingelsson, Erik and James, Alan and Karrasch, Stefan and Koch, Beate and Kritchevsky, Stephen B and Kumar, Ashish and Lahousse, Lies and Li, Guo and Lind, Lars and Lindgren, Cecilia and Liu, Yongmei and Lohman, Kurt and Lumley, Thomas and McArdle, Wendy L and Meibohm, Bernd and Morris, Andrew P and Morrison, Alanna C and Musk, Bill and North, Kari E and Palmer, Lyle J and Probst-Hensch, Nicole M and Psaty, Bruce M and Rivadeneira, Fernando and Rotter, Jerome I and Schulz, Holger and Smith, Lewis J and Sood, Akshay and Starr, John M and Strachan, David P and Teumer, Alexander and Uitterlinden, Andr{\'e} G and V{\"o}lzke, Henry and Voorman, Arend and Wain, Louise V and Wells, Martin T and Wilk, Jemma B and Williams, O Dale and Heckbert, Susan R and Stricker, Bruno H and London, Stephanie J and Fornage, Myriam and Tobin, Martin D and O{\textquoteright}Connor, George T and Hall, Ian P and Cassano, Patricia A} } @article {6605, title = {Loss-of-function mutations in APOC3, triglycerides, and coronary disease.}, journal = {N Engl J Med}, volume = {371}, year = {2014}, month = {2014 Jul 3}, pages = {22-31}, abstract = {

BACKGROUND: Plasma triglyceride levels are heritable and are correlated with the risk of coronary heart disease. Sequencing of the protein-coding regions of the human genome (the exome) has the potential to identify rare mutations that have a large effect on phenotype.

METHODS: We sequenced the protein-coding regions of 18,666 genes in each of 3734 participants of European or African ancestry in the Exome Sequencing Project. We conducted tests to determine whether rare mutations in coding sequence, individually or in aggregate within a gene, were associated with plasma triglyceride levels. For mutations associated with triglyceride levels, we subsequently evaluated their association with the risk of coronary heart disease in 110,970 persons.

RESULTS: An aggregate of rare mutations in the gene encoding apolipoprotein C3 (APOC3) was associated with lower plasma triglyceride levels. Among the four mutations that drove this result, three were loss-of-function mutations: a nonsense mutation (R19X) and two splice-site mutations (IVS2+1G{\textrightarrow}A and IVS3+1G{\textrightarrow}T). The fourth was a missense mutation (A43T). Approximately 1 in 150 persons in the study was a heterozygous carrier of at least one of these four mutations. Triglyceride levels in the carriers were 39\% lower than levels in noncarriers (P<1{\texttimes}10(-20)), and circulating levels of APOC3 in carriers were 46\% lower than levels in noncarriers (P=8{\texttimes}10(-10)). The risk of coronary heart disease among 498 carriers of any rare APOC3 mutation was 40\% lower than the risk among 110,472 noncarriers (odds ratio, 0.60; 95\% confidence interval, 0.47 to 0.75; P=4{\texttimes}10(-6)).

CONCLUSIONS: Rare mutations that disrupt APOC3 function were associated with lower levels of plasma triglycerides and APOC3. Carriers of these mutations were found to have a reduced risk of coronary heart disease. (Funded by the National Heart, Lung, and Blood Institute and others.).

}, keywords = {African Continental Ancestry Group, Apolipoprotein C-III, Coronary Disease, European Continental Ancestry Group, Exome, Genotype, Heterozygote, Humans, Liver, Mutation, Risk Factors, Sequence Analysis, DNA, Triglycerides}, issn = {1533-4406}, doi = {10.1056/NEJMoa1307095}, author = {Crosby, Jacy and Peloso, Gina M and Auer, Paul L and Crosslin, David R and Stitziel, Nathan O and Lange, Leslie A and Lu, Yingchang and Tang, Zheng-Zheng and Zhang, He and Hindy, George and Masca, Nicholas and Stirrups, Kathleen and Kanoni, Stavroula and Do, Ron and Jun, Goo and Hu, Youna and Kang, Hyun Min and Xue, Chenyi and Goel, Anuj and Farrall, Martin and Duga, Stefano and Merlini, Pier Angelica and Asselta, Rosanna and Girelli, Domenico and Olivieri, Oliviero and Martinelli, Nicola and Yin, Wu and Reilly, Dermot and Speliotes, Elizabeth and Fox, Caroline S and Hveem, Kristian and Holmen, Oddgeir L and Nikpay, Majid and Farlow, Deborah N and Assimes, Themistocles L and Franceschini, Nora and Robinson, Jennifer and North, Kari E and Martin, Lisa W and DePristo, Mark and Gupta, Namrata and Escher, Stefan A and Jansson, Jan-H{\r a}kan and Van Zuydam, Natalie and Palmer, Colin N A and Wareham, Nicholas and Koch, Werner and Meitinger, Thomas and Peters, Annette and Lieb, Wolfgang and Erbel, Raimund and K{\"o}nig, Inke R and Kruppa, Jochen and Degenhardt, Franziska and Gottesman, Omri and Bottinger, Erwin P and O{\textquoteright}Donnell, Christopher J and Psaty, Bruce M and Ballantyne, Christie M and Abecasis, Goncalo and Ordovas, Jose M and Melander, Olle and Watkins, Hugh and Orho-Melander, Marju and Ardissino, Diego and Loos, Ruth J F and McPherson, Ruth and Willer, Cristen J and Erdmann, Jeanette and Hall, Alistair S and Samani, Nilesh J and Deloukas, Panos and Schunkert, Heribert and Wilson, James G and Kooperberg, Charles and Rich, Stephen S and Tracy, Russell P and Lin, Dan-Yu and Altshuler, David and Gabriel, Stacey and Nickerson, Deborah A and Jarvik, Gail P and Cupples, L Adrienne and Reiner, Alex P and Boerwinkle, Eric and Kathiresan, Sekar} } @article {6552, title = {Meta-analysis of loci associated with age at natural menopause in African-American women.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 Jun 15}, pages = {3327-42}, abstract = {

Age at menopause marks the end of a woman{\textquoteright}s reproductive life and its timing associates with risks for cancer, cardiovascular and bone disorders. GWAS and candidate gene studies conducted in women of European ancestry have identified 27 loci associated with age at menopause. The relevance of these loci to women of African ancestry has not been previously studied. We therefore sought to uncover additional menopause loci and investigate the relevance of European menopause loci by performing a GWAS meta-analysis in 6510 women with African ancestry derived from 11 studies across the USA. We did not identify any additional loci significantly associated with age at menopause in African Americans. We replicated the associations between six loci and age at menopause (P-value < 0.05): AMHR2, RHBLD2, PRIM1, HK3/UMC1, BRSK1/TMEM150B and MCM8. In addition, associations of 14 loci are directionally consistent with previous reports. We provide evidence that genetic variants influencing reproductive traits identified in European populations are also important in women of African ancestry residing in USA.

}, keywords = {African Americans, Age Factors, Chromosomes, Human, European Continental Ancestry Group, Female, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans, Menopause, United States}, issn = {1460-2083}, doi = {10.1093/hmg/ddu041}, author = {Chen, Christina T L and Liu, Ching-Ti and Chen, Gary K and Andrews, Jeanette S and Arnold, Alice M and Dreyfus, Jill and Franceschini, Nora and Garcia, Melissa E and Kerr, Kathleen F and Li, Guo and Lohman, Kurt K and Musani, Solomon K and Nalls, Michael A and Raffel, Leslie J and Smith, Jennifer and Ambrosone, Christine B and Bandera, Elisa V and Bernstein, Leslie and Britton, Angela and Brzyski, Robert G and Cappola, Anne and Carlson, Christopher S and Couper, David and Deming, Sandra L and Goodarzi, Mark O and Heiss, Gerardo and John, Esther M and Lu, Xiaoning and Le Marchand, Lo{\"\i}c and Marciante, Kristin and McKnight, Barbara and Millikan, Robert and Nock, Nora L and Olshan, Andrew F and Press, Michael F and Vaiyda, Dhananjay and Woods, Nancy F and Taylor, Herman A and Zhao, Wei and Zheng, Wei and Evans, Michele K and Harris, Tamara B and Henderson, Brian E and Kardia, Sharon L R and Kooperberg, Charles and Liu, Yongmei and Mosley, Thomas H and Psaty, Bruce and Wellons, Melissa and Windham, Beverly G and Zonderman, Alan B and Cupples, L Adrienne and Demerath, Ellen W and Haiman, Christopher and Murabito, Joanne M and Rajkovic, Aleksandar} } @article {6667, title = {No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e111156}, abstract = {

Plasma fibrinogen is an acute phase protein playing an important role in the blood coagulation cascade having strong associations with smoking, alcohol consumption and body mass index (BMI). Genome-wide association studies (GWAS) have identified a variety of gene regions associated with elevated plasma fibrinogen concentrations. However, little is yet known about how associations between environmental factors and fibrinogen might be modified by genetic variation. Therefore, we conducted large-scale meta-analyses of genome-wide interaction studies to identify possible interactions of genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentration. The present study included 80,607 subjects of European ancestry from 22 studies. Genome-wide interaction analyses were performed separately in each study for about 2.6 million single nucleotide polymorphisms (SNPs) across the 22 autosomal chromosomes. For each SNP and risk factor, we performed a linear regression under an additive genetic model including an interaction term between SNP and risk factor. Interaction estimates were meta-analysed using a fixed-effects model. No genome-wide significant interaction with smoking status, alcohol consumption or BMI was observed in the meta-analyses. The most suggestive interaction was found for smoking and rs10519203, located in the LOC123688 region on chromosome 15, with a p value of 6.2 {\texttimes} 10(-8). This large genome-wide interaction study including 80,607 participants found no strong evidence of interaction between genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentrations. Further studies are needed to yield deeper insight in the interplay between environmental factors and gene variants on the regulation of fibrinogen concentrations.

}, keywords = {Alcohol Drinking, Body Mass Index, Fibrinogen, Gene-Environment Interaction, Genomics, Humans, Smoking}, issn = {1932-6203}, doi = {10.1371/journal.pone.0111156}, author = {Baumert, Jens and Huang, Jie and McKnight, Barbara and Sabater-Lleal, Maria and Steri, Maristella and Chu, Audrey Y and Trompet, Stella and Lopez, Lorna M and Fornage, Myriam and Teumer, Alexander and Tang, Weihong and Rudnicka, Alicja R and M{\"a}larstig, Anders and Hottenga, Jouke-Jan and Kavousi, Maryam and Lahti, Jari and Tanaka, Toshiko and Hayward, Caroline and Huffman, Jennifer E and Morange, Pierre-Emmanuel and Rose, Lynda M and Basu, Saonli and Rumley, Ann and Stott, David J and Buckley, Brendan M and de Craen, Anton J M and Sanna, Serena and Masala, Marco and Biffar, Reiner and Homuth, Georg and Silveira, Angela and Sennblad, Bengt and Goel, Anuj and Watkins, Hugh and M{\"u}ller-Nurasyid, Martina and R{\"u}ckerl, Regina and Taylor, Kent and Chen, Ming-Huei and de Geus, Eco J C and Hofman, Albert and Witteman, Jacqueline C M and de Maat, Moniek P M and Palotie, Aarno and Davies, Gail and Siscovick, David S and Kolcic, Ivana and Wild, Sarah H and Song, Jaejoon and McArdle, Wendy L and Ford, Ian and Sattar, Naveed and Schlessinger, David and Grotevendt, Anne and Franzosi, Maria Grazia and Illig, Thomas and Waldenberger, Melanie and Lumley, Thomas and Tofler, Geoffrey H and Willemsen, Gonneke and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and R{\"a}ikk{\"o}nen, Katri and Chasman, Daniel I and Folsom, Aaron R and Lowe, Gordon D and Westendorp, Rudi G J and Slagboom, P Eline and Cucca, Francesco and Wallaschofski, Henri and Strawbridge, Rona J and Seedorf, Udo and Koenig, Wolfgang and Bis, Joshua C and Mukamal, Kenneth J and van Dongen, Jenny and Widen, Elisabeth and Franco, Oscar H and Starr, John M and Liu, Kiang and Ferrucci, Luigi and Polasek, Ozren and Wilson, James F and Oudot-Mellakh, Tiphaine and Campbell, Harry and Navarro, Pau and Bandinelli, Stefania and Eriksson, Johan and Boomsma, Dorret I and Dehghan, Abbas and Clarke, Robert and Hamsten, Anders and Boerwinkle, Eric and Jukema, J Wouter and Naitza, Silvia and Ridker, Paul M and V{\"o}lzke, Henry and Deary, Ian J and Reiner, Alexander P and Tr{\'e}gou{\"e}t, David-Alexandre and O{\textquoteright}Donnell, Christopher J and Strachan, David P and Peters, Annette and Smith, Nicholas L} } @article {6820, title = {Novel genetic markers associate with atrial fibrillation risk in Europeans and Japanese.}, journal = {J Am Coll Cardiol}, volume = {63}, year = {2014}, month = {2014 Apr 1}, pages = {1200-10}, abstract = {

OBJECTIVES: This study sought to identify nonredundant atrial fibrillation (AF) genetic susceptibility signals and examine their cumulative relations with AF risk.

BACKGROUND: AF-associated loci span broad genomic regions that may contain multiple susceptibility signals. Whether multiple signals exist at AF loci has not been systematically explored.

METHODS: We performed association testing conditioned on the most significant, independently associated genetic markers at 9 established AF loci using 2 complementary techniques in 64,683 individuals of European ancestry (3,869 incident and 3,302 prevalent AF cases). Genetic risk scores were created and tested for association with AF in Europeans and an independent sample of 11,309 individuals of Japanese ancestry (7,916 prevalent AF cases).

RESULTS: We observed at least 4 distinct AF susceptibility signals on chromosome 4q25 upstream of PITX2, but not at the remaining 8 AF loci. A multilocus score comprised 12 genetic markers demonstrated an estimated 5-fold gradient in AF risk. We observed a similar spectrum of risk associated with these markers in Japanese. Regions containing AF signals on chromosome 4q25 displayed a greater degree of evolutionary conservation than the remainder of the locus, suggesting that they may tag regulatory elements.

CONCLUSIONS: The chromosome 4q25 AF locus is architecturally complex and harbors at least 4 AF susceptibility signals in individuals of European ancestry. Similar polygenic AF susceptibility exists between Europeans and Japanese. Future work is necessary to identify causal variants, determine mechanisms by which associated loci predispose to AF, and explore whether AF susceptibility signals classify individuals at risk for AF and related morbidity.

}, keywords = {Adult, Aged, Aged, 80 and over, Asian Continental Ancestry Group, Atrial Fibrillation, Chromosome Mapping, Chromosomes, Human, Pair 4, Europe, European Continental Ancestry Group, Female, Genetic Markers, Genetic Predisposition to Disease, Homeodomain Proteins, Humans, Japan, Male, Middle Aged, Polymorphism, Single Nucleotide, Transcription Factors}, issn = {1558-3597}, doi = {10.1016/j.jacc.2013.12.015}, author = {Lubitz, Steven A and Lunetta, Kathryn L and Lin, Honghuang and Arking, Dan E and Trompet, Stella and Li, Guo and Krijthe, Bouwe P and Chasman, Daniel I and Barnard, John and Kleber, Marcus E and D{\"o}rr, Marcus and Ozaki, Kouichi and Smith, Albert V and M{\"u}ller-Nurasyid, Martina and Walter, Stefan and Agarwal, Sunil K and Bis, Joshua C and Brody, Jennifer A and Chen, Lin Y and Everett, Brendan M and Ford, Ian and Franco, Oscar H and Harris, Tamara B and Hofman, Albert and K{\"a}{\"a}b, Stefan and Mahida, Saagar and Kathiresan, Sekar and Kubo, Michiaki and Launer, Lenore J and Macfarlane, Peter W and Magnani, Jared W and McKnight, Barbara and McManus, David D and Peters, Annette and Psaty, Bruce M and Rose, Lynda M and Rotter, Jerome I and Silbernagel, Guenther and Smith, Jonathan D and Sotoodehnia, Nona and Stott, David J and Taylor, Kent D and Tomaschitz, Andreas and Tsunoda, Tatsuhiko and Uitterlinden, Andr{\'e} G and Van Wagoner, David R and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Murabito, Joanne M and Sinner, Moritz F and Gudnason, Vilmundur and Felix, Stephan B and M{\"a}rz, Winfried and Chung, Mina and Albert, Christine M and Stricker, Bruno H and Tanaka, Toshihiro and Heckbert, Susan R and Jukema, J Wouter and Alonso, Alvaro and Benjamin, Emelia J and Ellinor, Patrick T} } @article {6591, title = {Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins.}, journal = {Nat Commun}, volume = {5}, year = {2014}, month = {2014 Oct 28}, pages = {5068}, abstract = {

Statins effectively lower LDL cholesterol levels in large studies and the observed interindividual response variability may be partially explained by genetic variation. Here we perform a pharmacogenetic meta-analysis of genome-wide association studies (GWAS) in studies addressing the LDL cholesterol response to statins, including up to 18,596 statin-treated subjects. We validate the most promising signals in a further 22,318 statin recipients and identify two loci, SORT1/CELSR2/PSRC1 and SLCO1B1, not previously identified in GWAS. Moreover, we confirm the previously described associations with APOE and LPA. Our findings advance the understanding of the pharmacogenetic architecture of statin response.

}, keywords = {Cholesterol, LDL, Genome-Wide Association Study, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Pharmacogenetics, Polymorphism, Single Nucleotide}, issn = {2041-1723}, doi = {10.1038/ncomms6068}, author = {Postmus, Iris and Trompet, Stella and Deshmukh, Harshal A and Barnes, Michael R and Li, Xiaohui and Warren, Helen R and Chasman, Daniel I and Zhou, Kaixin and Arsenault, Benoit J and Donnelly, Louise A and Wiggins, Kerri L and Avery, Christy L and Griffin, Paula and Feng, QiPing and Taylor, Kent D and Li, Guo and Evans, Daniel S and Smith, Albert V and de Keyser, Catherine E and Johnson, Andrew D and de Craen, Anton J M and Stott, David J and Buckley, Brendan M and Ford, Ian and Westendorp, Rudi G J and Slagboom, P Eline and Sattar, Naveed and Munroe, Patricia B and Sever, Peter and Poulter, Neil and Stanton, Alice and Shields, Denis C and O{\textquoteright}Brien, Eoin and Shaw-Hawkins, Sue and Chen, Y-D Ida and Nickerson, Deborah A and Smith, Joshua D and Dub{\'e}, Marie Pierre and Boekholdt, S Matthijs and Hovingh, G Kees and Kastelein, John J P and McKeigue, Paul M and Betteridge, John and Neil, Andrew and Durrington, Paul N and Doney, Alex and Carr, Fiona and Morris, Andrew and McCarthy, Mark I and Groop, Leif and Ahlqvist, Emma and Bis, Joshua C and Rice, Kenneth and Smith, Nicholas L and Lumley, Thomas and Whitsel, Eric A and St{\"u}rmer, Til and Boerwinkle, Eric and Ngwa, Julius S and O{\textquoteright}Donnell, Christopher J and Vasan, Ramachandran S and Wei, Wei-Qi and Wilke, Russell A and Liu, Ching-Ti and Sun, Fangui and Guo, Xiuqing and Heckbert, Susan R and Post, Wendy and Sotoodehnia, Nona and Arnold, Alice M and Stafford, Jeanette M and Ding, Jingzhong and Herrington, David M and Kritchevsky, Stephen B and Eiriksdottir, Gudny and Launer, Leonore J and Harris, Tamara B and Chu, Audrey Y and Giulianini, Franco and MacFadyen, Jean G and Barratt, Bryan J and Nyberg, Fredrik and Stricker, Bruno H and Uitterlinden, Andr{\'e} G and Hofman, Albert and Rivadeneira, Fernando and Emilsson, Valur and Franco, Oscar H and Ridker, Paul M and Gudnason, Vilmundur and Liu, Yongmei and Denny, Joshua C and Ballantyne, Christie M and Rotter, Jerome I and Adrienne Cupples, L and Psaty, Bruce M and Palmer, Colin N A and Tardif, Jean-Claude and Colhoun, Helen M and Hitman, Graham and Krauss, Ronald M and Wouter Jukema, J and Caulfield, Mark J} } @article {6220, title = {Predicting stroke through genetic risk functions: the CHARGE Risk Score Project.}, journal = {Stroke}, volume = {45}, year = {2014}, month = {2014 Feb}, pages = {403-12}, abstract = {

BACKGROUND AND PURPOSE: Beyond the Framingham Stroke Risk Score, prediction of future stroke may improve with a genetic risk score (GRS) based on single-nucleotide polymorphisms associated with stroke and its risk factors.

METHODS: The study includes 4 population-based cohorts with 2047 first incident strokes from 22,720 initially stroke-free European origin participants aged >=55 years, who were followed for up to 20 years. GRSs were constructed with 324 single-nucleotide polymorphisms implicated in stroke and 9 risk factors. The association of the GRS to first incident stroke was tested using Cox regression; the GRS predictive properties were assessed with area under the curve statistics comparing the GRS with age and sex, Framingham Stroke Risk Score models, and reclassification statistics. These analyses were performed per cohort and in a meta-analysis of pooled data. Replication was sought in a case-control study of ischemic stroke.

RESULTS: In the meta-analysis, adding the GRS to the Framingham Stroke Risk Score, age and sex model resulted in a significant improvement in discrimination (all stroke: Δjoint area under the curve=0.016, P=2.3{\texttimes}10(-6); ischemic stroke: Δjoint area under the curve=0.021, P=3.7{\texttimes}10(-7)), although the overall area under the curve remained low. In all the studies, there was a highly significantly improved net reclassification index (P<10(-4)).

CONCLUSIONS: The single-nucleotide polymorphisms associated with stroke and its risk factors result only in a small improvement in prediction of future stroke compared with the classical epidemiological risk factors for stroke.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Area Under Curve, Case-Control Studies, Cohort Studies, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Regression Analysis, Risk Factors, ROC Curve, Sex Factors, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.113.003044}, author = {Ibrahim-Verbaas, Carla A and Fornage, Myriam and Bis, Joshua C and Choi, Seung Hoan and Psaty, Bruce M and Meigs, James B and Rao, Madhu and Nalls, Mike and Fontes, Jo{\~a}o D and O{\textquoteright}Donnell, Christopher J and Kathiresan, Sekar and Ehret, Georg B and Fox, Caroline S and Malik, Rainer and Dichgans, Martin and Schmidt, Helena and Lahti, Jari and Heckbert, Susan R and Lumley, Thomas and Rice, Kenneth and Rotter, Jerome I and Taylor, Kent D and Folsom, Aaron R and Boerwinkle, Eric and Rosamond, Wayne D and Shahar, Eyal and Gottesman, Rebecca F and Koudstaal, Peter J and Amin, Najaf and Wieberdink, Renske G and Dehghan, Abbas and Hofman, Albert and Uitterlinden, Andr{\'e} G and DeStefano, Anita L and Debette, Stephanie and Xue, Luting and Beiser, Alexa and Wolf, Philip A and DeCarli, Charles and Ikram, M Arfan and Seshadri, Sudha and Mosley, Thomas H and Longstreth, W T and van Duijn, Cornelia M and Launer, Lenore J} } @article {6557, title = {Prediction of asymptomatic carotid artery stenosis in the general population: identification of high-risk groups.}, journal = {Stroke}, volume = {45}, year = {2014}, month = {2014 Aug}, pages = {2366-71}, abstract = {

BACKGROUND AND PURPOSE: Because of a low prevalence of severe carotid stenosis in the general population, screening for presence of asymptomatic carotid artery stenosis (ACAS) is not warranted. Possibly, for certain subgroups, screening is worthwhile. The present study aims to develop prediction rules for the presence of ACAS (>50\% and >70\%).

METHODS: Individual participant data from 4 population-based cohort studies (Malm{\"o} Diet and Cancer Study, Troms{\o} Study, Carotid Atherosclerosis Progression Study, and Cardiovascular Health Study; totaling 23 706 participants) were pooled. Multivariable logistic regression was performed to determine which variables predict presence of ACAS (>50\% and >70\%). Calibration and discrimination of the models were assessed, and bootstrapping was used to correct for overfitting.

RESULTS: Age, sex, history of vascular disease, systolic and diastolic blood pressure, total cholesterol/high-density lipoprotein ratio, diabetes mellitus, and current smoking were predictors of stenosis (>50\% and >70\%). The calibration of the model was good confirmed by a nonsignificant Hosmer and Lemeshow test for moderate (P=0.59) and severe stenosis (P=0.07). The models discriminated well between participants with and without stenosis, with an area under the receiver operating characteristic curve corrected for over optimism of 0.82 (95\% confidence interval, 0.80-0.84) for moderate stenosis and of 0.87 (95\% confidence interval, 0.85-0.90) for severe stenosis. The regression coefficients of the predictors were converted into a score chart to facilitate practical application.

CONCLUSIONS: A clinical prediction rule was developed that allows identification of subgroups with high prevalence of moderate (>50\%) and severe (>70\%) ACAS. When confirmed in comparable cohorts, application of the prediction rule may lead to a reduction in the number needed to screen for ACAS.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Blood Pressure, Carotid Stenosis, Female, Humans, Life Style, Male, Mass Screening, Middle Aged, Prevalence, Registries, Risk, Smoking}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.114.005145}, author = {de Weerd, Marjolein and Greving, Jacoba P and Hedblad, Bo and Lorenz, Matthias W and Mathiesen, Ellisiv B and O{\textquoteright}Leary, Daniel H and Rosvall, Maria and Sitzer, Matthias and de Borst, Gert Jan and Buskens, Erik and Bots, Michiel L} } @article {6363, title = {Prognostic implications of microvascular and macrovascular abnormalities in older adults: cardiovascular health study.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {69}, year = {2014}, month = {2014 Dec}, pages = {1495-502}, abstract = {

BACKGROUND: Microvascular and macrovascular abnormalities are frequently found on noninvasive tests performed in older adults. Their prognostic implications on disability and life expectancy have not been collectively assessed.

METHODS: This prospective study included 2,452 adults (mean age: 79.5 years) with available measures of microvascular (brain, retina, kidney) and macrovascular abnormalities (brain, carotid, coronary, peripheral artery) in the Cardiovascular Health Study. The burden of microvascular and macrovascular abnormalities was examined in relation to total, activity-of-daily-living disability-free, and severe disability-free life expectancies in the next 10 years (1999-2009).

RESULTS: At 75 years, individuals with low burden of both abnormalities lived, on average, 8.71 years (95\% confidence interval: 8.29, 9.12) of which 7.67 years (7.16, 8.17) were without disability. In comparison, individuals with high burden of both abnormalities had shortest total life expectancy (6.95 years [6.52, 7.37]; p < .001) and disability-free life expectancy (5.60 years [5.10, 6.11]; p < .001). Although total life expectancy was similarly reduced for those with high burden of either type of abnormalities (microvascular: 7.96 years [7.50, 8.42] vs macrovascular: 8.25 years [7.80, 8.70]; p = .10), microvascular abnormalities seemed to have larger impact than macrovascular abnormalities on disability-free life expectancy (6.45 years [5.90, 6.99] vs 6.96 years [6.43, 7.48]; p = .016). These results were consistent for severe disability-free life expectancy and in individuals without clinical cardiovascular disease.

CONCLUSIONS: Considering both microvascular and macrovascular abnormalities from multiple noninvasive tests may provide additional prognostic information on how older adults spend their remaining life. Optimal clinical use of this information remains to be determined.

}, keywords = {Aged, Aged, 80 and over, Aging, Ankle Brachial Index, Disability Evaluation, Electrocardiography, Female, Follow-Up Studies, Forecasting, Humans, Life Expectancy, Magnetic Resonance Imaging, Male, Microcirculation, Prognosis, Prospective Studies, Risk Factors, Vascular Malformations}, issn = {1758-535X}, doi = {10.1093/gerona/glu074}, author = {Kim, Dae Hyun and Grodstein, Francine and Newman, Anne B and Chaves, Paulo H M and Odden, Michelle C and Klein, Ronald and Sarnak, Mark J and Patel, Kushang V and Lipsitz, Lewis A} } @article {6565, title = {Quantifying rare, deleterious variation in 12 human cytochrome P450 drug-metabolism genes in a large-scale exome dataset.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 Apr 15}, pages = {1957-63}, abstract = {

The study of genetic influences on drug response and efficacy ({\textquoteright}pharmacogenetics{\textquoteright}) has existed for over 50 years. Yet, we still lack a complete picture of how genetic variation, both common and rare, affects each individual{\textquoteright}s responses to medications. Exome sequencing is a promising alternative method for pharmacogenetic discovery as it provides information on both common and rare variation in large numbers of individuals. Using exome data from 2203 AA and 4300 Caucasian individuals through the NHLBI Exome Sequencing Project, we conducted a survey of coding variation within 12 Cytochrome P450 (CYP) genes that are collectively responsible for catalyzing nearly 75\% of all known Phase I drug oxidation reactions. In addition to identifying many polymorphisms with known pharmacogenetic effects, we discovered over 730 novel nonsynonymous alleles across the 12 CYP genes of interest. These alleles include many with diverse functional effects such as premature stop codons, aberrant splicesites and mutations at conserved active site residues. Our analysis considering both novel, predicted functional alleles as well as known, actionable CYP alleles reveals that rare, deleterious variation contributes markedly to the overall burden of pharmacogenetic alleles within the populations considered, and that the contribution of rare variation to this burden is over three times greater in AA individuals as compared with Caucasians. While most of these impactful alleles are individually rare, 7.6-11.7\% of individuals interrogated in the study carry at least one newly described potentially deleterious alleles in a major drug-metabolizing CYP.

}, keywords = {Cytochrome P-450 Enzyme System, Databases, Genetic, European Continental Ancestry Group, Exome, Humans, Pharmaceutical Preparations, Pharmacogenetics, Polymorphism, Genetic}, issn = {1460-2083}, doi = {10.1093/hmg/ddt588}, author = {Gordon, Adam S and Tabor, Holly K and Johnson, Andrew D and Snively, Beverly M and Assimes, Themistocles L and Auer, Paul L and Ioannidis, John P A and Peters, Ulrike and Robinson, Jennifer G and Sucheston, Lara E and Wang, Danxin and Sotoodehnia, Nona and Rotter, Jerome I and Psaty, Bruce M and Jackson, Rebecca D and Herrington, David M and O{\textquoteright}Donnell, Christopher J and Reiner, Alexander P and Rich, Stephen S and Rieder, Mark J and Bamshad, Michael J and Nickerson, Deborah A} } @article {6588, title = {Risk factors for cardiovascular disease across the spectrum of older age: the Cardiovascular Health Study.}, journal = {Atherosclerosis}, volume = {237}, year = {2014}, month = {2014 Nov}, pages = {336-42}, abstract = {

OBJECTIVE: The associations of some risk factors with cardiovascular disease (CVD) are attenuated in older age; whereas others appear robust. The present study aimed to compare CVD risk factors across older age.

METHODS: Participants (n~=~4883) in the Cardiovascular Health Study free of prevalent CVD, were stratified into three age groups: 65-74, 75-84, 85+ years. Traditional risk factors included systolic blood pressure (BP), LDL-cholesterol, HDL-cholesterol, obesity, and diabetes. Novel risk factors included kidney function, C-reactive protein (CRP), and N-terminal pro-B-type natriuretic peptide (NT pro-BNP).

RESULTS: There were 1498 composite CVD events (stroke, myocardial infarction, and cardiovascular death) over 5 years. The associations of high systolic BP and diabetes appeared strongest, though both were attenuated with age (p-values for interaction~=~0.01 and 0.002, respectively). The demographic-adjusted hazard ratios (HR) for elevated systolic BP were 1.79 (95\% confidence interval: 1.49, 2.15), 1.59 (1.37, 1.85) and 1.10 (0.86, 1.41) in participants aged 65-74, 75-84, 85+, and for diabetes, 2.36 (1.89, 2.95), 1.55 (1.27, 1.89), 1.51 (1.10, 2.09). The novel risk factors had consistent associations with the outcome across the age spectrum; low kidney function: 1.69 (1.31, 2.19), 1.61 (1.36, 1.90), and 1.57 (1.16, 2.14) for 65-74, 75-84, and 85+ years, respectively; elevated CRP: 1.54 (1.28, 1.87), 1.33 (1.13, 1.55), and 1.51 (1.15, 1.97); elevated NT pro-BNP: 2.67 (1.96, 3.64), 2.71 (2.25, 3.27), and 2.18 (1.43, 3.45).

CONCLUSIONS: The associations of most traditional risk factors with CVD were minimal in the oldest old, whereas diabetes, eGFR, CRP, and NT pro-BNP were associated with CVD across older age.

}, keywords = {Aged, Aged, 80 and over, Blood Pressure, C-Reactive Protein, Cardiovascular Diseases, Cholesterol, HDL, Cholesterol, LDL, Diabetes Complications, Diabetes Mellitus, Female, Humans, Inflammation, Kidney, Kidney Diseases, Lipids, Male, Natriuretic Peptide, Brain, Obesity, Peptide Fragments, Risk Factors}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2014.09.012}, author = {Odden, Michelle C and Shlipak, Michael G and Whitson, Heather E and Katz, Ronit and Kearney, Patricia M and deFilippi, Chris and Shastri, Shani and Sarnak, Mark J and Siscovick, David S and Cushman, Mary and Psaty, Bruce M and Newman, Anne B} } @article {6579, title = {Sequence variation in TMEM18 in association with body mass index: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {344-9}, abstract = {

BACKGROUND: Genome-wide association studies for body mass index (BMI) previously identified a locus near TMEM18. We conducted targeted sequencing of this region to investigate the role of common, low-frequency, and rare variants influencing BMI.

METHODS AND RESULTS: We sequenced TMEM18 and regions downstream of TMEM18 on chromosome 2 in 3976 individuals of European ancestry from 3 community-based cohorts (Atherosclerosis Risk in Communities, Cardiovascular Health Study, and Framingham Heart Study), including 200 adults selected for high BMI. We examined the association between BMI and variants identified in the region from nucleotide position 586 432 to 677 539 (hg18). Rare variants (minor allele frequency, <1\%) were analyzed using a burden test and the sequence kernel association test. Results from the 3 cohort studies were meta-analyzed. We estimate that mean BMI is 0.43 kg/m(2) higher for each copy of the G allele of single-nucleotide polymorphism rs7596758 (minor allele frequency, 29\%; P=3.46{\texttimes}10(-4)) using a Bonferroni threshold of P<4.6{\texttimes}10(-4). Analyses conditional on previous genome-wide association study single-nucleotide polymorphisms associated with BMI in the region led to attenuation of this signal and uncovered another independent (r(2)<0.2), statistically significant association, rs186019316 (P=2.11{\texttimes}10(-4)). Both rs186019316 and rs7596758 or proxies are located in transcription factor binding regions. No significant association with rare variants was found in either the exons of TMEM18 or the 3{\textquoteright} genome-wide association study region.

CONCLUSIONS: Targeted sequencing around TMEM18 identified 2 novel BMI variants with possible regulatory function.

}, keywords = {Adult, Aged, Aging, Body Mass Index, Cohort Studies, Female, Genetic Association Studies, Genetic Variation, Genome-Wide Association Study, Genomics, Heart Diseases, Humans, Male, Membrane Proteins, Middle Aged, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, Young Adult}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.13.000067}, author = {Liu, Ching-Ti and Young, Kristin L and Brody, Jennifer A and Olden, Matthias and Wojczynski, Mary K and Heard-Costa, Nancy and Li, Guo and Morrison, Alanna C and Muzny, Donna and Gibbs, Richard A and Reid, Jeffrey G and Shao, Yaming and Zhou, Yanhua and Boerwinkle, Eric and Heiss, Gerardo and Wagenknecht, Lynne and McKnight, Barbara and Borecki, Ingrid B and Fox, Caroline S and North, Kari E and Cupples, L Adrienne} } @article {6547, title = {Sequencing of 2 subclinical atherosclerosis candidate regions in 3669 individuals: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {359-64}, abstract = {

BACKGROUND: Atherosclerosis, the precursor to coronary heart disease and stroke, is characterized by an accumulation of fatty cells in the arterial intimal-medial layers. Common carotid intima media thickness (cIMT) and plaque are subclinical atherosclerosis measures that predict cardiovascular disease events. Previously, genome-wide association studies demonstrated evidence for association with cIMT (SLC17A4) and plaque (PIK3CG).

METHODS AND RESULTS: We sequenced 120 kb around SLC17A4 (6p22.2) and 251 kb around PIK3CG (7q22.3) among 3669 European ancestry participants from the Atherosclerosis Risk in Communities (ARIC) study, Cardiovascular Health Study (CHS), and Framingham Heart Study (FHS) in Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Primary analyses focused on 438 common variants (minor allele frequency >=1\%), which were independently meta-analyzed. A 3{\textquoteright} untranslated region CCDC71L variant (rs2286149), upstream from PIK3CG, was the most significant finding in cIMT (P=0.00033) and plaque (P=0.0004) analyses. A SLC17A4 intronic variant was also associated with cIMT (P=0.008). Both were in low linkage disequilibrium with the genome-wide association study single nucleotide polymorphisms. Gene-based tests including T1 count and sequence kernel association test for rare variants (minor allele frequency <1\%) did not yield statistically significant associations. However, we observed nominal associations for rare variants in CCDC71L and SLC17A3 with cIMT and of the entire 7q22 region with plaque (P=0.05).

CONCLUSIONS: Common and rare variants in PIK3CG and SLC17A4 regions demonstrated modest association with subclinical atherosclerosis traits. Although not conclusive, these findings may help to understand the genetic architecture of regions previously implicated by genome-wide association studies and identify variants within these regions for further investigation in larger samples.

}, keywords = {Aged, Aged, 80 and over, Aging, Atherosclerosis, Class Ib Phosphatidylinositol 3-Kinase, Cohort Studies, European Continental Ancestry Group, Female, Genetic Variation, Genome-Wide Association Study, Genomics, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, Sodium-Phosphate Cotransporter Proteins, Type I}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000116}, author = {Bis, Joshua C and White, Charles C and Franceschini, Nora and Brody, Jennifer and Zhang, Xiaoling and Muzny, Donna and Santibanez, Jireh and Gibbs, Richard and Liu, Xiaoming and Lin, Honghuang and Boerwinkle, Eric and Psaty, Bruce M and North, Kari E and Cupples, L Adrienne and O{\textquoteright}Donnell, Christopher J} } @article {6583, title = {Sequencing of SCN5A identifies rare and common variants associated with cardiac conduction: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {365-73}, abstract = {

BACKGROUND: The cardiac sodium channel SCN5A regulates atrioventricular and ventricular conduction. Genetic variants in this gene are associated with PR and QRS intervals. We sought to characterize further the contribution of rare and common coding variation in SCN5A to cardiac conduction.

METHODS AND RESULTS: In Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study, we performed targeted exonic sequencing of SCN5A (n=3699, European ancestry individuals) and identified 4 common (minor allele frequency >1\%) and 157 rare variants. Common and rare SCN5A coding variants were examined for association with PR and QRS intervals through meta-analysis of European ancestry participants from CHARGE, National Heart, Lung, and Blood Institute{\textquoteright}s Exome Sequencing Project (n=607), and the UK10K (n=1275) and by examining Exome Sequencing Project African ancestry participants (n=972). Rare coding SCN5A variants in aggregate were associated with PR interval in European and African ancestry participants (P=1.3{\texttimes}10(-3)). Three common variants were associated with PR and QRS interval duration among European ancestry participants and one among African ancestry participants. These included 2 well-known missense variants: rs1805124 (H558R) was associated with PR and QRS shortening in European ancestry participants (P=6.25{\texttimes}10(-4) and P=5.2{\texttimes}10(-3), respectively) and rs7626962 (S1102Y) was associated with PR shortening in those of African ancestry (P=2.82{\texttimes}10(-3)). Among European ancestry participants, 2 novel synonymous variants, rs1805126 and rs6599230, were associated with cardiac conduction. Our top signal, rs1805126 was associated with PR and QRS lengthening (P=3.35{\texttimes}10(-7) and P=2.69{\texttimes}10(-4), respectively) and rs6599230 was associated with PR shortening (P=2.67{\texttimes}10(-5)).

CONCLUSIONS: By sequencing SCN5A, we identified novel common and rare coding variants associated with cardiac conduction.

}, keywords = {Adult, Aged, Aged, 80 and over, Aging, Cohort Studies, Female, Genetic Variation, Genome-Wide Association Study, Genomics, Heart Conduction System, Heart Diseases, Humans, Male, Middle Aged, NAV1.5 Voltage-Gated Sodium Channel, Polymorphism, Single Nucleotide, Sequence Analysis, DNA}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000098}, author = {Magnani, Jared W and Brody, Jennifer A and Prins, Bram P and Arking, Dan E and Lin, Honghuang and Yin, Xiaoyan and Liu, Ching-Ti and Morrison, Alanna C and Zhang, Feng and Spector, Tim D and Alonso, Alvaro and Bis, Joshua C and Heckbert, Susan R and Lumley, Thomas and Sitlani, Colleen M and Cupples, L Adrienne and Lubitz, Steven A and Soliman, Elsayed Z and Pulit, Sara L and Newton-Cheh, Christopher and O{\textquoteright}Donnell, Christopher J and Ellinor, Patrick T and Benjamin, Emelia J and Muzny, Donna M and Gibbs, Richard A and Santibanez, Jireh and Taylor, Herman A and Rotter, Jerome I and Lange, Leslie A and Psaty, Bruce M and Jackson, Rebecca and Rich, Stephen S and Boerwinkle, Eric and Jamshidi, Yalda and Sotoodehnia, Nona} } @article {6370, title = {Shared genetic susceptibility to ischemic stroke and coronary artery disease: a genome-wide analysis of common variants.}, journal = {Stroke}, volume = {45}, year = {2014}, month = {2014 Jan}, pages = {24-36}, abstract = {

BACKGROUND AND PURPOSE: Ischemic stroke (IS) and coronary artery disease (CAD) share several risk factors and each has a substantial heritability. We conducted a genome-wide analysis to evaluate the extent of shared genetic determination of the two diseases.

METHODS: Genome-wide association data were obtained from the METASTROKE, Coronary Artery Disease Genome-wide Replication and Meta-analysis (CARDIoGRAM), and Coronary Artery Disease (C4D) Genetics consortia. We first analyzed common variants reaching a nominal threshold of significance (P<0.01) for CAD for their association with IS and vice versa. We then examined specific overlap across phenotypes for variants that reached a high threshold of significance. Finally, we conducted a joint meta-analysis on the combined phenotype of IS or CAD. Corresponding analyses were performed restricted to the 2167 individuals with the ischemic large artery stroke (LAS) subtype.

RESULTS: Common variants associated with CAD at P<0.01 were associated with a significant excess risk for IS and for LAS and vice versa. Among the 42 known genome-wide significant loci for CAD, 3 and 5 loci were significantly associated with IS and LAS, respectively. In the joint meta-analyses, 15 loci passed genome-wide significance (P<5{\texttimes}10(-8)) for the combined phenotype of IS or CAD and 17 loci passed genome-wide significance for LAS or CAD. Because these loci had prior evidence for genome-wide significance for CAD, we specifically analyzed the respective signals for IS and LAS and found evidence for association at chr12q24/SH2B3 (PIS=1.62{\texttimes}10(-7)) and ABO (PIS=2.6{\texttimes}10(-4)), as well as at HDAC9 (PLAS=2.32{\texttimes}10(-12)), 9p21 (PLAS=3.70{\texttimes}10(-6)), RAI1-PEMT-RASD1 (PLAS=2.69{\texttimes}10(-5)), EDNRA (PLAS=7.29{\texttimes}10(-4)), and CYP17A1-CNNM2-NT5C2 (PLAS=4.9{\texttimes}10(-4)).

CONCLUSIONS: Our results demonstrate substantial overlap in the genetic risk of IS and particularly the LAS subtype with CAD.

}, keywords = {Brain Ischemia, Coronary Artery Disease, Data Interpretation, Statistical, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Phenotype, Polymorphism, Single Nucleotide, Reproducibility of Results, Risk Factors, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.113.002707}, author = {Dichgans, Martin and Malik, Rainer and K{\"o}nig, Inke R and Rosand, Jonathan and Clarke, Robert and Gretarsdottir, Solveig and Thorleifsson, Gudmar and Mitchell, Braxton D and Assimes, Themistocles L and Levi, Christopher and O{\textquoteright}Donnell, Christopher J and Fornage, Myriam and Thorsteinsdottir, Unnur and Psaty, Bruce M and Hengstenberg, Christian and Seshadri, Sudha and Erdmann, Jeanette and Bis, Joshua C and Peters, Annette and Boncoraglio, Giorgio B and M{\"a}rz, Winfried and Meschia, James F and Kathiresan, Sekar and Ikram, M Arfan and McPherson, Ruth and Stefansson, Kari and Sudlow, Cathie and Reilly, Muredach P and Thompson, John R and Sharma, Pankaj and Hopewell, Jemma C and Chambers, John C and Watkins, Hugh and Rothwell, Peter M and Roberts, Robert and Markus, Hugh S and Samani, Nilesh J and Farrall, Martin and Schunkert, Heribert} } @article {6578, title = {Strategies to design and analyze targeted sequencing data: cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {335-43}, abstract = {

BACKGROUND: Genome-wide association studies have identified thousands of genetic variants that influence a variety of diseases and health-related quantitative traits. However, the causal variants underlying the majority of genetic associations remain unknown. Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study aims to follow up genome-wide association study signals and identify novel associations of the allelic spectrum of identified variants with cardiovascular-related traits.

METHODS AND RESULTS: The study included 4231 participants from 3 CHARGE cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, and the Framingham Heart Study. We used a case-cohort design in which we selected both a random sample of participants and participants with extreme phenotypes for each of 14 traits. We sequenced and analyzed 77 genomic loci, which had previously been associated with >=1 of 14 phenotypes. A total of 52 736 variants were characterized by sequencing and passed our stringent quality control criteria. For common variants (minor allele frequency >=1\%), we performed unweighted regression analyses to obtain P values for associations and weighted regression analyses to obtain effect estimates that accounted for the sampling design. For rare variants, we applied 2 approaches: collapsed aggregate statistics and joint analysis of variants using the sequence kernel association test.

CONCLUSIONS: We sequenced 77 genomic loci in participants from 3 cohorts. We established a set of filters to identify high-quality variants and implemented statistical and bioinformatics strategies to analyze the sequence data and identify potentially functional variants within genome-wide association study loci.

}, keywords = {Adult, Aged, Aged, 80 and over, Aging, Cohort Studies, Female, Genetic Variation, Genome-Wide Association Study, Genomics, Heart Diseases, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Research Design, Sequence Analysis, DNA}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000350}, author = {Lin, Honghuang and Wang, Min and Brody, Jennifer A and Bis, Joshua C and Dupuis, Jos{\'e}e and Lumley, Thomas and McKnight, Barbara and Rice, Kenneth M and Sitlani, Colleen M and Reid, Jeffrey G and Bressler, Jan and Liu, Xiaoming and Davis, Brian C and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Kovar, Christie L and Dinh, Huyen and Wu, Yuanqing and Newsham, Irene and Chen, Han and Broka, Andi and DeStefano, Anita L and Gupta, Mayetri and Lunetta, Kathryn L and Liu, Ching-Ti and White, Charles C and Xing, Chuanhua and Zhou, Yanhua and Benjamin, Emelia J and Schnabel, Renate B and Heckbert, Susan R and Psaty, Bruce M and Muzny, Donna M and Cupples, L Adrienne and Morrison, Alanna C and Boerwinkle, Eric} } @article {6589, title = {Subclinical vascular disease burden and longer survival.}, journal = {J Am Geriatr Soc}, volume = {62}, year = {2014}, month = {2014 Sep}, pages = {1692-8}, abstract = {

OBJECTIVES: To determine the contribution of gradations of subclinical vascular disease (SVD) to the likelihood of longer survival and to determine what allows some individuals with SVD to live longer.

DESIGN: Cohort study.

SETTING: Cardiovascular Health Study.

PARTICIPANTS: Individuals born between June 30, 1918, and June 30, 1921 (N~=~2,082; aged 70-75 at baseline (1992-93)).

MEASUREMENTS: A SVD index was scored as 0 for no abnormalities, 1 for mild abnormalities, and 2 for severe abnormalities on ankle-arm index, electrocardiogram, and common carotid intima-media thickness measured at baseline. Survival groups were categorized as 80 and younger, 81 to 84, 85 to 89, and 90 and older.

RESULTS: A 1-point lower SVD score was associated with 1.22 greater odds (95\% confidence interval~=~1.14-1.31) of longer survival, independent of potential confounders. This association was unchanged after adjustment for intermediate incident cardiovascular events. There was suggestion of an interaction between kidney function, smoking, and C-reactive protein and SVD; the association between SVD and longer survival appeared to be modestly greater in persons with poor kidney function, inflammation, or a history of smoking.

CONCLUSION: A lower burden of SVD is associated with longer survival, independent of intermediate cardiovascular events. Abstinence from smoking, better kidney function, and lower inflammation may attenuate the effects of higher SVD and promote longer survival.

}, keywords = {Aged, Aged, 80 and over, C-Reactive Protein, Carotid Intima-Media Thickness, Cohort Studies, Cystatin C, Depression, Diabetes Mellitus, Electrocardiography, Female, Humans, Inflammation, Kidney Diseases, Male, Smoking, Survival Analysis, United States, Vascular Diseases}, issn = {1532-5415}, doi = {10.1111/jgs.13018}, author = {Odden, Michelle C and Yee, Laura M and Arnold, Alice M and Sanders, Jason L and Hirsch, Calvin and DeFilippi, Christopher and Kizer, Jorge R and Inzitari, Marco and Newman, Anne B} } @article {6398, title = {Systolic and diastolic blood pressure, incident cardiovascular events, and death in elderly persons: the role of functional limitation in the Cardiovascular Health Study.}, journal = {Hypertension}, volume = {64}, year = {2014}, month = {2014 Sep}, pages = {472-80}, abstract = {

Whether limitation in the ability to perform activities of daily living (ADL) or gait speed can identify elders in whom the association of systolic and diastolic blood pressure (DBP) with cardiovascular events (CVDs) and death differs is unclear. We evaluated whether limitation in ADL or gait speed modifies the association of systolic blood pressure or DBP with incident CVD (n=2358) and death (n=3547) in the Cardiovascular Health Study. Mean age was 78{\textpm}5 and 21\% reported limitation in >=1 ADL. There were 778 CVD and 1289 deaths over 9 years. Among persons without and those with ADL limitation, systolic blood pressure was associated with incident CVD: hazard ratio [HR] (per 10-mm Hg increase) 1.08 (95\% confidence interval, 1.03, 1.13) and 1.06 (0.97, 1.17), respectively. ADL modified the association of DBP with incident CVD. Among those without ADL limitation, DBP was weakly associated with incident CVD, HR 1.04 (0.79, 1.37) for DBP >80, compared with <65 mm Hg. Among those with ADL limitation, DBP was inversely associated with CVD: HR 0.65 (0.44, 0.96) for DBP 66 to 80 mm Hg and HR 0.49 (0.25, 0.94) for DBP >80, compared with DBP <=65. Among people with ADL limitation, a DBP of 66 to 80 had the lowest risk of death, HR 0.72 (0.57, 0.91), compared with a DBP of <=65. Associations did not vary by 15-feet walking speed. ADL can identify elders in whom diastolic hypotension is associated with higher cardiovascular risk and death. Functional status, rather than chronologic age alone, should inform design of hypertension trials in elders.

}, keywords = {Activities of Daily Living, African Continental Ancestry Group, Aged, Aged, 80 and over, Blood Pressure, Cardiovascular Diseases, Diastole, European Continental Ancestry Group, Female, Follow-Up Studies, Gait, Heart Rate, Humans, Incidence, Longitudinal Studies, Male, Risk Factors, Survival Rate, Systole}, issn = {1524-4563}, doi = {10.1161/HYPERTENSIONAHA.114.03831}, author = {Peralta, Carmen A and Katz, Ronit and Newman, Anne B and Psaty, Bruce M and Odden, Michelle C} } @article {6594, title = {Telomere length and the risk of atrial fibrillation: insights into the role of biological versus chronological aging.}, journal = {Circ Arrhythm Electrophysiol}, volume = {7}, year = {2014}, month = {2014 Dec}, pages = {1026-32}, abstract = {

BACKGROUND: Advanced age is the most important risk factor for atrial fibrillation (AF); however, the mechanism remains unknown. Telomeres, regions of DNA that shorten with cell division, are considered reliable markers of biological aging. We sought to examine the association between leukocyte telomere length (LTL) and incident AF in a large population-based cohort using direct LTL measurements and genetic data. To further explore our findings, we compared atrial cell telomere length and LTL in cardiac surgery patients.

METHODS AND RESULTS: Mean LTL and the TERT rs2736100 single nucleotide polymorphism were assessed as predictors of incident AF in the Cardiovascular Health Study (CHS). Among the surgical patients, within subject comparison of atrial cell telomere length versus LTL was assessed. Among 1639 CHS participants, we observed no relationship between mean LTL and incident AF before and after adjustment for potential confounders (adjusted hazard ratio, 1.09; 95\% confidence interval: 0.92-1.29; P=0.299); chronologic age remained strongly associated with AF in the same model. No association was observed between the TERT rs2736100 single nucleotide polymorphism and incident AF (adjusted hazard ratio: 0.95; 95\% confidence interval: 0.88-1.04; P=0.265). In 35 cardiac surgery patients (26 with AF), atrial cell telomere length was longer than LTL (1.19 {\textpm} 0.20 versus 1.02 {\textpm} 0.25 [T/S ratio], P<0.001), a finding that remained consistent within the AF subgroup.

CONCLUSIONS: Our study revealed no evidence of an association between LTL and incident AF and no evidence of relative atrial cell telomere shortening in AF. Chronological aging independent of biological markers of aging is the primary risk factor for AF.

}, keywords = {Age Factors, Aged, Aging, Atrial Fibrillation, California, Cardiac Surgical Procedures, Cellular Senescence, Cross-Sectional Studies, Female, Genetic Predisposition to Disease, Humans, Incidence, Leukocytes, Male, Phenotype, Polymorphism, Single Nucleotide, Prospective Studies, Risk Assessment, Risk Factors, Telomerase, Telomere, Time Factors}, issn = {1941-3084}, doi = {10.1161/CIRCEP.114.001781}, author = {Roberts, Jason D and Dewland, Thomas A and Longoria, James and Fitzpatrick, Annette L and Ziv, Elad and Hu, Donglei and Lin, Jue and Glidden, David V and Psaty, Bruce M and Burchard, Esteban G and Blackburn, Elizabeth H and Olgin, Jeffrey E and Heckbert, Susan R and Marcus, Gregory M} } @article {6573, title = {Trans-ethnic meta-analysis of white blood cell phenotypes.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 Dec 20}, pages = {6944-60}, abstract = {

White blood cell (WBC) count is a common clinical measure used as a predictor of certain aspects of human health, including immunity and infection status. WBC count is also a complex trait that varies among individuals and ancestry groups. Differences in linkage disequilibrium structure and heterogeneity in allelic effects are expected to play a role in the associations observed between populations. Prior genome-wide association study (GWAS) meta-analyses have identified genomic loci associated with WBC and its subtypes, but much of the heritability of these phenotypes remains unexplained. Using GWAS summary statistics for over 50 000 individuals from three diverse populations (Japanese, African-American and European ancestry), a Bayesian model methodology was employed to account for heterogeneity between ancestry groups. This approach was used to perform a trans-ethnic meta-analysis of total WBC, neutrophil and monocyte counts. Ten previously known associations were replicated and six new loci were identified, including several regions harboring genes related to inflammation and immune cell function. Ninety-five percent credible interval regions were calculated to narrow the association signals and fine-map the putatively causal variants within loci. Finally, a conditional analysis was performed on the most significant SNPs identified by the trans-ethnic meta-analysis (MA), and nine secondary signals within loci previously associated with WBC or its subtypes were identified. This work illustrates the potential of trans-ethnic analysis and ascribes a critical role to multi-ethnic cohorts and consortia in exploring complex phenotypes with respect to variants that lie outside the European-biased GWAS pool.

}, keywords = {African Americans, Asian Continental Ancestry Group, Bayes Theorem, European Continental Ancestry Group, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Leukocyte Count, Leukocytes, Linkage Disequilibrium, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1460-2083}, doi = {10.1093/hmg/ddu401}, author = {Keller, Margaux F and Reiner, Alexander P and Okada, Yukinori and van Rooij, Frank J A and Johnson, Andrew D and Chen, Ming-Huei and Smith, Albert V and Morris, Andrew P and Tanaka, Toshiko and Ferrucci, Luigi and Zonderman, Alan B and Lettre, Guillaume and Harris, Tamara and Garcia, Melissa and Bandinelli, Stefania and Qayyum, Rehan and Yanek, Lisa R and Becker, Diane M and Becker, Lewis C and Kooperberg, Charles and Keating, Brendan and Reis, Jared and Tang, Hua and Boerwinkle, Eric and Kamatani, Yoichiro and Matsuda, Koichi and Kamatani, Naoyuki and Nakamura, Yusuke and Kubo, Michiaki and Liu, Simin and Dehghan, Abbas and Felix, Janine F and Hofman, Albert and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Franco, Oscar H and Longo, Dan L and Singleton, Andrew B and Psaty, Bruce M and Evans, Michelle K and Cupples, L Adrienne and Rotter, Jerome I and O{\textquoteright}Donnell, Christopher J and Takahashi, Atsushi and Wilson, James G and Ganesh, Santhi K and Nalls, Mike A} } @article {6564, title = {What do carotid intima-media thickness and plaque add to the prediction of stroke and cardiovascular disease risk in older adults? The cardiovascular health study.}, journal = {J Am Soc Echocardiogr}, volume = {27}, year = {2014}, month = {2014 Sep}, pages = {998-1005.e2}, abstract = {

BACKGROUND: The aim of this study was to evaluate whether the addition of ultrasound carotid intima-media thickness (CIMT) measurements and risk categories of plaque help predict incident stroke and cardiovascular disease (CVD) in older adults.

METHODS: Carotid ultrasound studies were recorded in the multicenter Cardiovascular Health Study. CVD was defined as coronary heart disease plus heart failure plus stroke. Ten-year risk prediction Cox proportional-hazards models for stroke and CVD were calculated using Cardiovascular Health Study-specific coefficients for Framingham risk score factors. Categories of CIMT and CIMT plus plaque were added to Framingham risk score prediction models, and categorical net reclassification improvement (NRI) and Harrell{\textquoteright}s c-statistic were calculated.

RESULTS: In 4,384 Cardiovascular Health Study participants (61\% women, 14\% black; mean baseline age, 72~{\textpm}~5 years) without CVD at baseline, higher CIMT category and the presence of plaque were both associated with higher incidence rates for stroke and CVD. The addition of CIMT improved the ability of Framingham risk score-type risk models to discriminate cases from noncases of incident stroke and CVD (NRI~= 0.062, P~=~.015, and NRI~= 0.027, P < .001, respectively), with no further improvement by adding plaque. For both outcomes, NRI was driven by down-classifying those without incident disease. Although the addition of plaque to CIMT~did not result in a significant NRI for either outcome, it was significant among those without incident disease.

CONCLUSIONS: In older adults, the addition of CIMT modestly improves 10-year risk prediction for stroke and CVD beyond a traditional risk factor model, mainly by down-classifying risk in those without stroke or CVD; the addition of plaque to CIMT adds no statistical benefit in the overall cohort, although there is evidence of down-classification in those without events.

}, keywords = {Aged, Cardiovascular Diseases, Carotid Intima-Media Thickness, Carotid Stenosis, Comorbidity, Female, Humans, Incidence, Longitudinal Studies, Male, Reproducibility of Results, Risk Factors, Sensitivity and Specificity, Stroke, Survival Rate}, issn = {1097-6795}, doi = {10.1016/j.echo.2014.06.013}, author = {Gardin, Julius M and Bartz, Traci M and Polak, Joseph F and O{\textquoteright}Leary, Daniel H and Wong, Nathan D} } @article {6577, title = {Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol.}, journal = {Am J Hum Genet}, volume = {94}, year = {2014}, month = {2014 Feb 06}, pages = {233-45}, abstract = {

Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98(th) or <2(nd) percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments.

}, keywords = {Adult, Aged, Apolipoproteins E, Cholesterol, LDL, Cohort Studies, Dyslipidemias, Exome, Female, Follow-Up Studies, Gene Frequency, Genetic Code, Genome-Wide Association Study, Genotype, Humans, Lipase, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Proprotein Convertase 9, Proprotein Convertases, Receptors, LDL, Sequence Analysis, DNA, Serine Endopeptidases}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.01.010}, author = {Lange, Leslie A and Hu, Youna and Zhang, He and Xue, Chenyi and Schmidt, Ellen M and Tang, Zheng-Zheng and Bizon, Chris and Lange, Ethan M and Smith, Joshua D and Turner, Emily H and Jun, Goo and Kang, Hyun Min and Peloso, Gina and Auer, Paul and Li, Kuo-Ping and Flannick, Jason and Zhang, Ji and Fuchsberger, Christian and Gaulton, Kyle and Lindgren, Cecilia and Locke, Adam and Manning, Alisa and Sim, Xueling and Rivas, Manuel A and Holmen, Oddgeir L and Gottesman, Omri and Lu, Yingchang and Ruderfer, Douglas and Stahl, Eli A and Duan, Qing and Li, Yun and Durda, Peter and Jiao, Shuo and Isaacs, Aaron and Hofman, Albert and Bis, Joshua C and Correa, Adolfo and Griswold, Michael E and Jakobsdottir, Johanna and Smith, Albert V and Schreiner, Pamela J and Feitosa, Mary F and Zhang, Qunyuan and Huffman, Jennifer E and Crosby, Jacy and Wassel, Christina L and Do, Ron and Franceschini, Nora and Martin, Lisa W and Robinson, Jennifer G and Assimes, Themistocles L and Crosslin, David R and Rosenthal, Elisabeth A and Tsai, Michael and Rieder, Mark J and Farlow, Deborah N and Folsom, Aaron R and Lumley, Thomas and Fox, Ervin R and Carlson, Christopher S and Peters, Ulrike and Jackson, Rebecca D and van Duijn, Cornelia M and Uitterlinden, Andr{\'e} G and Levy, Daniel and Rotter, Jerome I and Taylor, Herman A and Gudnason, Vilmundur and Siscovick, David S and Fornage, Myriam and Borecki, Ingrid B and Hayward, Caroline and Rudan, Igor and Chen, Y Eugene and Bottinger, Erwin P and Loos, Ruth J F and S{\ae}trom, P{\r a}l and Hveem, Kristian and Boehnke, Michael and Groop, Leif and McCarthy, Mark and Meitinger, Thomas and Ballantyne, Christie M and Gabriel, Stacey B and O{\textquoteright}Donnell, Christopher J and Post, Wendy S and North, Kari E and Reiner, Alexander P and Boerwinkle, Eric and Psaty, Bruce M and Altshuler, David and Kathiresan, Sekar and Lin, Dan-Yu and Jarvik, Gail P and Cupples, L Adrienne and Kooperberg, Charles and Wilson, James G and Nickerson, Deborah A and Abecasis, Goncalo R and Rich, Stephen S and Tracy, Russell P and Willer, Cristen J} } @article {6668, title = {Association between left atrial abnormality on ECG and vascular brain injury on MRI in the Cardiovascular Health Study.}, journal = {Stroke}, volume = {46}, year = {2015}, month = {2015 Mar}, pages = {711-6}, abstract = {

BACKGROUND AND PURPOSE: Emerging evidence suggests that atrial disease is associated with vascular brain injury in the absence of atrial fibrillation.

METHODS: The Cardiovascular Health Study prospectively enrolled community-dwelling adults aged >=65 years. Among participants who underwent MRI, we examined associations of ECG left atrial abnormality with brain infarcts and leukoaraiosis. P-wave terminal force in lead V1 was the primary measure of left atrial abnormality; P-wave area and duration were secondary predictors. We excluded participants with atrial fibrillation before or on their index ECG. Primary outcomes were incident infarcts and worsening leukoaraiosis from initial to follow-up scan ≈5 years later. Secondary outcomes were prevalent infarcts and degree of leukoaraiosis on initial MRI. Relative risk (RR) and linear regression models were adjusted for vascular risk factors.

RESULTS: Among 3129 participants with >=1 scan, each SD increase in P-wave terminal force in lead V1 was associated with a 0.05-point (95\% confidence interval [CI], 0.0003-0.10) higher baseline white matter grade on a 10-point scale. P-wave terminal force in lead V1 was associated with prevalent infarcts of any type (RR per SD, 1.09; 95\% CI, 1.04-1.16) and more so with prevalent nonlacunar infarcts (RR per SD, 1.22; 95\% CI, 1.08-1.38). Among 1839 participants with 2 scans, P-wave terminal force in lead V1 was associated with worsening leukoaraiosis (RR per SD, 1.09; 95\% CI, 1.01-1.18), but not with incident infarcts (RR per SD, 1.06; 95\% CI, 0.93-1.20). Sensitivity analyses adjusting for incident atrial fibrillation found similar results. P-wave area and duration were not associated with outcomes.

CONCLUSIONS: ECG left atrial abnormality is associated with vascular brain injury in the absence of documented atrial fibrillation.

}, keywords = {Aged, Atrial Fibrillation, Brain, Brain Infarction, Cardiovascular Diseases, Cerebrovascular Trauma, Electrocardiography, Female, Heart Atria, Heart Diseases, Humans, Linear Models, Magnetic Resonance Imaging, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Regression Analysis, Risk Factors, Treatment Outcome}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.114.007762}, author = {Kamel, Hooman and Bartz, Traci M and Longstreth, W T and Okin, Peter M and Thacker, Evan L and Patton, Kristen K and Stein, Phyllis K and Gottesman, Rebecca F and Heckbert, Susan R and Kronmal, Richard A and Elkind, Mitchell S V and Soliman, Elsayed Z} } @article {6851, title = {Association of 25-Hydroxyvitamin D status and genetic variation in the vitamin D metabolic pathway with FEV1 in the Framingham Heart Study.}, journal = {Respir Res}, volume = {16}, year = {2015}, month = {2015}, pages = {81}, abstract = {

BACKGROUND: Vitamin D is associated with lung function in cross-sectional studies, and vitamin D inadequacy is hypothesized to play a role in the pathogenesis of chronic obstructive pulmonary disease. Further data are needed to clarify the relation between vitamin D status, genetic variation in vitamin D metabolic genes, and cross-sectional and longitudinal changes in lung function in healthy adults.

METHODS: We estimated the association between serum 25-hydroxyvitamin D [25(OH)D] and cross-sectional forced expiratory volume in the first second (FEV1) in Framingham Heart Study (FHS) Offspring and Third Generation participants and the association between serum 25(OH)D and longitudinal change in FEV1 in Third Generation participants using linear mixed-effects models. Using a gene-based approach, we investigated the association between 241 SNPs in 6 select vitamin D metabolic genes in relation to longitudinal change in FEV1 in Offspring participants and pursued replication of these findings in a meta-analyzed set of 4 independent cohorts.

RESULTS: We found a positive cross-sectional association between 25(OH)D and FEV1 in FHS Offspring and Third Generation participants (P=0.004). There was little or no association between 25(OH)D and longitudinal change in FEV1 in Third Generation participants (P=0.97). In Offspring participants, the CYP2R1 gene, hypothesized to influence usual serum 25(OH)D status, was associated with longitudinal change in FEV1 (gene-based P<0.05). The most significantly associated SNP from CYP2R1 had a consistent direction of association with FEV1 in the meta-analyzed set of replication cohorts, but the association did not reach statistical significance thresholds (P=0.09).

CONCLUSIONS: Serum 25(OH)D status was associated with cross-sectional FEV1, but not longitudinal change in FEV1. The inconsistent associations may be driven by differences in the groups studied. CYP2R1 demonstrated a gene-based association with longitudinal change in FEV1 and is a promising candidate gene for further studies.

}, keywords = {Adult, Aged, Cohort Studies, Cross-Sectional Studies, DNA-Binding Proteins, Female, Genetic Variation, Humans, Longitudinal Studies, Male, Massachusetts, Metabolic Networks and Pathways, Middle Aged, Nuclear Proteins, Polymorphism, Single Nucleotide, Vitamin D}, issn = {1465-993X}, doi = {10.1186/s12931-015-0238-y}, author = {Hansen, J G and Gao, W and Dupuis, J and O{\textquoteright}Connor, G T and Tang, W and Kowgier, M and Sood, A and Gharib, S A and Palmer, L J and Fornage, M and Heckbert, S R and Psaty, B M and Booth, S L and Cassano, Patricia A} } @article {6811, title = {Association of Cardiometabolic Multimorbidity With Mortality.}, journal = {JAMA}, volume = {314}, year = {2015}, month = {2015 Jul 7}, pages = {52-60}, abstract = {

IMPORTANCE: The prevalence of cardiometabolic multimorbidity is increasing.

OBJECTIVE: To estimate reductions in life expectancy associated with cardiometabolic multimorbidity.

DESIGN, SETTING, AND PARTICIPANTS: Age- and sex-adjusted mortality rates and hazard ratios (HRs) were calculated using individual participant data from the Emerging Risk Factors Collaboration (689,300 participants; 91 cohorts; years of baseline surveys: 1960-2007; latest mortality follow-up: April 2013; 128,843 deaths). The HRs from the Emerging Risk Factors Collaboration were compared with those from the UK Biobank (499,808 participants; years of baseline surveys: 2006-2010; latest mortality follow-up: November 2013; 7995 deaths). Cumulative survival was estimated by applying calculated age-specific HRs for mortality to contemporary US age-specific death rates.

EXPOSURES: A history of 2 or more of the following: diabetes mellitus, stroke, myocardial infarction (MI).

MAIN OUTCOMES AND MEASURES: All-cause mortality and estimated reductions in life expectancy.

RESULTS: In participants in the Emerging Risk Factors Collaboration without a history of diabetes, stroke, or MI at baseline (reference group), the all-cause mortality rate adjusted to the age of 60 years was 6.8 per 1000 person-years. Mortality rates per 1000 person-years were 15.6 in participants with a history of diabetes, 16.1 in those with stroke, 16.8 in those with MI, 32.0 in those with both diabetes and MI, 32.5 in those with both diabetes and stroke, 32.8 in those with both stroke and MI, and 59.5 in those with diabetes, stroke, and MI. Compared with the reference group, the HRs for all-cause mortality were 1.9 (95\% CI, 1.8-2.0) in participants with a history of diabetes, 2.1 (95\% CI, 2.0-2.2) in those with stroke, 2.0 (95\% CI, 1.9-2.2) in those with MI, 3.7 (95\% CI, 3.3-4.1) in those with both diabetes and MI, 3.8 (95\% CI, 3.5-4.2) in those with both diabetes and stroke, 3.5 (95\% CI, 3.1-4.0) in those with both stroke and MI, and 6.9 (95\% CI, 5.7-8.3) in those with diabetes, stroke, and MI. The HRs from the Emerging Risk Factors Collaboration were similar to those from the more recently recruited UK Biobank. The HRs were little changed after further adjustment for markers of established intermediate pathways (eg, levels of lipids and blood pressure) and lifestyle factors (eg, smoking, diet). At the age of 60 years, a history of any 2 of these conditions was associated with 12 years of reduced life expectancy and a history of all 3 of these conditions was associated with 15 years of reduced life expectancy.

CONCLUSIONS AND RELEVANCE: Mortality associated with a history of diabetes, stroke, or MI was similar for each condition. Because any combination of these conditions was associated with multiplicative mortality risk, life expectancy was substantially lower in people with multimorbidity.

}, keywords = {Adult, Aged, Comorbidity, Diabetes Mellitus, Female, Humans, Life Expectancy, Male, Middle Aged, Mortality, Myocardial Infarction, Risk Factors, Stroke}, issn = {1538-3598}, doi = {10.1001/jama.2015.7008}, author = {Di Angelantonio, Emanuele and Kaptoge, Stephen and Wormser, David and Willeit, Peter and Butterworth, Adam S and Bansal, Narinder and O{\textquoteright}Keeffe, Linda M and Gao, Pei and Wood, Angela M and Burgess, Stephen and Freitag, Daniel F and Pennells, Lisa and Peters, Sanne A and Hart, Carole L and H{\r a}heim, Lise Lund and Gillum, Richard F and Nordestgaard, B{\o}rge G and Psaty, Bruce M and Yeap, Bu B and Knuiman, Matthew W and Nietert, Paul J and Kauhanen, Jussi and Salonen, Jukka T and Kuller, Lewis H and Simons, Leon A and van der Schouw, Yvonne T and Barrett-Connor, Elizabeth and Selmer, Randi and Crespo, Carlos J and Rodriguez, Beatriz and Verschuren, W M Monique and Salomaa, Veikko and Sv{\"a}rdsudd, Kurt and van der Harst, Pim and Bj{\"o}rkelund, Cecilia and Wilhelmsen, Lars and Wallace, Robert B and Brenner, Hermann and Amouyel, Philippe and Barr, Elizabeth L M and Iso, Hiroyasu and Onat, Altan and Trevisan, Maurizio and D{\textquoteright}Agostino, Ralph B and Cooper, Cyrus and Kavousi, Maryam and Welin, Lennart and Roussel, Ronan and Hu, Frank B and Sato, Shinichi and Davidson, Karina W and Howard, Barbara V and Leening, Maarten J G and Leening, Maarten and Rosengren, Annika and D{\"o}rr, Marcus and Deeg, Dorly J H and Kiechl, Stefan and Stehouwer, Coen D A and Nissinen, Aulikki and Giampaoli, Simona and Donfrancesco, Chiara and Kromhout, Daan and Price, Jackie F and Peters, Annette and Meade, Tom W and Casiglia, Edoardo and Lawlor, Debbie A and Gallacher, John and Nagel, Dorothea and Franco, Oscar H and Assmann, Gerd and Dagenais, Gilles R and Jukema, J Wouter and Sundstr{\"o}m, Johan and Woodward, Mark and Brunner, Eric J and Khaw, Kay-Tee and Wareham, Nicholas J and Whitsel, Eric A and Nj{\o}lstad, Inger and Hedblad, Bo and Wassertheil-Smoller, Sylvia and Engstr{\"o}m, Gunnar and Rosamond, Wayne D and Selvin, Elizabeth and Sattar, Naveed and Thompson, Simon G and Danesh, John} } @article {6810, title = {Coagulation factor~XII genetic variation, ex~vivo thrombin generation, and stroke risk in the elderly: results from the Cardiovascular Health Study.}, journal = {J Thromb Haemost}, volume = {13}, year = {2015}, month = {2015 Oct}, pages = {1867-77}, abstract = {

BACKGROUND: The relationships of thrombin generation (TG) with cardiovascular disease risk are underevaluated in population-based cohorts.

OBJECTIVES: To evaluate the relationships of TG influenced by the contact and tissue factor coagulation pathways ex~vivo with common single-nucleotide polymorphisms (SNPs) and incident cardiovascular disease and stroke.

PATIENTS/METHODS: We measured peak TG (pTG) in baseline plasma samples of Cardiovascular Health Study participants (n~=~5411), both with and without inhibitory anti-factor~XIa antibody (pTG/FXIa(-) ). We evaluated their associations with ~~50~000 SNPs by using the IBCv2 genotyping array, and with incident cardiovascular disease and stroke events over a median follow-up of 13.2~years.

RESULTS: The minor allele for an SNP in the FXII gene (F12), rs1801020, was associated with lower pTG in European-Americans (β~=~-~34.2~{\textpm}~3.5~nm; P~=~3.3~{\texttimes}~10(-22) ; minor allele frequency [MAF]~=~0.23) and African-Americans (β~=~-~31.1~{\textpm}~7.9~nm; P~=~9.0~{\texttimes} 10(-5) ; MAF~=~0.42). Lower FXIa-independent pTG (pTG/FXIa(-) ) was associated with the F12 rs1801020 minor allele, and higher pTG/FXIa(-) was associated with the ABO SNP rs657152 minor allele (β~=~16.3~nm; P~=~4.3~{\texttimes}~10(-9) ; MAF~=~0.37). The risk factor-adjusted ischemic stroke hazard ratios were 1.09 (95\% confidence interval CI~1.01-1.17; P~=~0.03) for pTG, 1.06 (95\% CI~0.98-1.15; P~=~0.17) for pTG/FXIa(-) , and 1.11 (95\% CI~1.02-1.21; P~=~0.02) for FXIa-dependent pTG (pTG/FXIa(+) ), per one standard deviation increment (n~=~834 ischemic strokes). In a multicohort candidate gene analysis, rs1801020 was not associated with incident ischemic stroke (β~=~-~0.02; standard error~=~0.08; P~=~0.81).

CONCLUSIONS: These results support the importance of contact activation pathway-dependent TG as a risk factor for ischemic stroke, and indicate the importance of F12 SNPs for TG ex~vivo and in~vivo.

}, keywords = {African Americans, Age Factors, Aged, Blood Coagulation, Brain Ischemia, European Continental Ancestry Group, Factor XII, Female, Gene Frequency, Genetic Predisposition to Disease, Humans, Incidence, Male, Phenotype, Polymorphism, Single Nucleotide, Prospective Studies, Risk Assessment, Risk Factors, Stroke, Thrombin, Time Factors, United States}, issn = {1538-7836}, doi = {10.1111/jth.13111}, author = {Olson, N C and Butenas, S and Lange, L A and Lange, E M and Cushman, M and Jenny, N S and Walston, J and Souto, J C and Soria, J M and Chauhan, G and Debette, S and Longstreth, W T and Seshadri, S and Reiner, A P and Tracy, R P} } @article {6844, title = {Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians.}, journal = {Am J Clin Nutr}, volume = {102}, year = {2015}, month = {2015 Nov}, pages = {1266-78}, abstract = {

BACKGROUND: Recent studies suggest that meat intake is associated with diabetes-related phenotypes. However, whether the associations of meat intake and glucose and insulin homeostasis are modified by genes related to glucose and insulin is unknown.

OBJECTIVE: We investigated the associations of meat intake and the interaction of meat with genotype on fasting glucose and insulin concentrations in Caucasians free of diabetes mellitus.

DESIGN: Fourteen studies that are part of the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium participated in the analysis. Data were provided for up to 50,345 participants. Using linear regression within studies and a fixed-effects meta-analysis across studies, we examined 1) the associations of processed meat and unprocessed red meat intake with fasting glucose and insulin concentrations; and 2) the interactions of processed meat and unprocessed red meat with genetic risk score related to fasting glucose or insulin resistance on fasting glucose and insulin concentrations.

RESULTS: Processed meat was associated with higher fasting glucose, and unprocessed red meat was associated with both higher fasting glucose and fasting insulin concentrations after adjustment for potential confounders [not including body mass index (BMI)]. For every additional 50-g serving of processed meat per day, fasting glucose was 0.021 mmol/L (95\% CI: 0.011, 0.030 mmol/L) higher. Every additional 100-g serving of unprocessed red meat per day was associated with a 0.037-mmol/L (95\% CI: 0.023, 0.051-mmol/L) higher fasting glucose concentration and a 0.049-ln-pmol/L (95\% CI: 0.035, 0.063-ln-pmol/L) higher fasting insulin concentration. After additional adjustment for BMI, observed associations were attenuated and no longer statistically significant. The association of processed meat and fasting insulin did not reach statistical significance after correction for multiple comparisons. Observed associations were not modified by genetic loci known to influence fasting glucose or insulin resistance.

CONCLUSION: The association of higher fasting glucose and insulin concentrations with meat consumption was not modified by an index of glucose- and insulin-related single-nucleotide polymorphisms. Six of the participating studies are registered at clinicaltrials.gov as NCT0000513 (Atherosclerosis Risk in Communities), NCT00149435 (Cardiovascular Health Study), NCT00005136 (Family Heart Study), NCT00005121 (Framingham Heart Study), NCT00083369 (Genetics of Lipid Lowering Drugs and Diet Network), and NCT00005487 (Multi-Ethnic Study of Atherosclerosis).

}, keywords = {Blood Glucose, Cohort Studies, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hyperglycemia, Hyperinsulinism, Insulin, Insulin Resistance, Insulin-Secreting Cells, Meat, Meat Products, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1938-3207}, doi = {10.3945/ajcn.114.101238}, author = {Fretts, Amanda M and Follis, Jack L and Nettleton, Jennifer A and Lemaitre, Rozenn N and Ngwa, Julius S and Wojczynski, Mary K and Kalafati, Ioanna Panagiota and Varga, Tibor V and Frazier-Wood, Alexis C and Houston, Denise K and Lahti, Jari and Ericson, Ulrika and van den Hooven, Edith H and Mikkil{\"a}, Vera and Kiefte-de Jong, Jessica C and Mozaffarian, Dariush and Rice, Kenneth and Renstrom, Frida and North, Kari E and McKeown, Nicola M and Feitosa, Mary F and Kanoni, Stavroula and Smith, Caren E and Garcia, Melissa E and Tiainen, Anna-Maija and Sonestedt, Emily and Manichaikul, Ani and van Rooij, Frank J A and Dimitriou, Maria and Raitakari, Olli and Pankow, James S and Djouss{\'e}, Luc and Province, Michael A and Hu, Frank B and Lai, Chao-Qiang and Keller, Margaux F and Per{\"a}l{\"a}, Mia-Maria and Rotter, Jerome I and Hofman, Albert and Graff, Misa and K{\"a}h{\"o}nen, Mika and Mukamal, Kenneth and Johansson, Ingegerd and Ordovas, Jose M and Liu, Yongmei and M{\"a}nnist{\"o}, Satu and Uitterlinden, Andr{\'e} G and Deloukas, Panos and Sepp{\"a}l{\"a}, Ilkka and Psaty, Bruce M and Cupples, L Adrienne and Borecki, Ingrid B and Franks, Paul W and Arnett, Donna K and Nalls, Mike A and Eriksson, Johan G and Orho-Melander, Marju and Franco, Oscar H and Lehtim{\"a}ki, Terho and Dedoussis, George V and Meigs, James B and Siscovick, David S} } @article {6687, title = {Dietary fatty acids modulate associations between genetic variants and circulating fatty acids in plasma and erythrocyte membranes: Meta-analysis of nine studies in the CHARGE consortium.}, journal = {Mol Nutr Food Res}, volume = {59}, year = {2015}, month = {2015 Jul}, pages = {1373-83}, abstract = {

SCOPE: Tissue concentrations of omega-3 fatty acids may reduce cardiovascular disease risk, and genetic variants are associated with circulating fatty acids concentrations. Whether dietary fatty acids interact with genetic variants to modify circulating omega-3 fatty acids is unclear. We evaluated interactions between genetic variants and fatty acid intakes for circulating alpha-linoleic acid, eicosapentaenoic acid, docosahexaenoic acid, and docosapentaenoic acid.

METHODS AND RESULTS: We conducted meta-analyses (N = 11~668) evaluating interactions between dietary fatty acids and genetic variants (rs174538 and rs174548 in FADS1 (fatty acid desaturase 1), rs7435 in AGPAT3 (1-acyl-sn-glycerol-3-phosphate), rs4985167 in PDXDC1 (pyridoxal-dependent decarboxylase domain-containing 1), rs780094 in GCKR (glucokinase regulatory protein), and rs3734398 in ELOVL2 (fatty acid elongase 2)). Stratification by measurement compartment (plasma versus erthyrocyte) revealed compartment-specific interactions between FADS1 rs174538 and rs174548 and dietary alpha-linolenic acid and linoleic acid for docosahexaenoic acid and docosapentaenoic acid.

CONCLUSION: Our findings reinforce earlier reports that genetically based differences in circulating fatty acids may be partially due to differences in the conversion of fatty acid precursors. Further, fatty acids measurement compartment may modify gene-diet relationships, and considering compartment may improve the detection of gene-fatty acids interactions for circulating fatty acid outcomes.

}, keywords = {Acetyltransferases, Acyltransferases, Adaptor Proteins, Signal Transducing, Carboxy-Lyases, Diet, Docosahexaenoic Acids, Eicosapentaenoic Acid, Erythrocyte Membrane, Fatty Acid Desaturases, Fatty Acids, Fatty Acids, Omega-3, Female, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1613-4133}, doi = {10.1002/mnfr.201400734}, author = {Smith, Caren E and Follis, Jack L and Nettleton, Jennifer A and Foy, Millennia and Wu, Jason H Y and Ma, Yiyi and Tanaka, Toshiko and Manichakul, Ani W and Wu, Hongyu and Chu, Audrey Y and Steffen, Lyn M and Fornage, Myriam and Mozaffarian, Dariush and Kabagambe, Edmond K and Ferruci, Luigi and Chen, Yii-Der Ida and Rich, Stephen S and Djouss{\'e}, Luc and Ridker, Paul M and Tang, Weihong and McKnight, Barbara and Tsai, Michael Y and Bandinelli, Stefania and Rotter, Jerome I and Hu, Frank B and Chasman, Daniel I and Psaty, Bruce M and Arnett, Donna K and King, Irena B and Sun, Qi and Wang, Lu and Lumley, Thomas and Chiuve, Stephanie E and Siscovick, David S and Ordovas, Jose M and Lemaitre, Rozenn N} } @article {6691, title = {Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction.}, journal = {Nature}, volume = {518}, year = {2015}, month = {2015 Feb 5}, pages = {102-6}, abstract = {

Myocardial infarction (MI), a leading cause of death around the world, displays a complex pattern of inheritance. When MI occurs early in life, genetic inheritance is a major component to risk. Previously, rare mutations in low-density lipoprotein (LDL) genes have been shown to contribute to MI risk in individual families, whereas common variants at more than 45 loci have been associated with MI risk in the population. Here we evaluate how rare mutations contribute to early-onset MI risk in the population. We sequenced the protein-coding regions of 9,793 genomes from patients with MI at an early age (<=50 years in males and <=60 years in females) along with MI-free controls. We identified two genes in which rare coding-sequence mutations were more frequent in MI cases versus controls at exome-wide significance. At low-density lipoprotein receptor (LDLR), carriers of rare non-synonymous mutations were at 4.2-fold increased risk for MI; carriers of null alleles at LDLR were at even higher risk (13-fold difference). Approximately 2\% of early MI cases harbour a rare, damaging mutation in LDLR; this estimate is similar to one made more than 40 years ago using an analysis of total cholesterol. Among controls, about 1 in 217 carried an LDLR coding-sequence mutation and had plasma LDL cholesterol > 190~mg~dl(-1). At apolipoprotein A-V (APOA5), carriers of rare non-synonymous mutations were at 2.2-fold increased risk for MI. When compared with non-carriers, LDLR mutation carriers had higher plasma LDL cholesterol, whereas APOA5 mutation carriers had higher plasma triglycerides. Recent evidence has connected MI risk with coding-sequence mutations at two genes functionally related to APOA5, namely lipoprotein lipase and apolipoprotein C-III (refs 18, 19). Combined, these observations suggest that, as well as LDL cholesterol, disordered metabolism of triglyceride-rich lipoproteins contributes to MI risk.

}, keywords = {Age Factors, Age of Onset, Alleles, Apolipoproteins A, Case-Control Studies, Cholesterol, LDL, Coronary Artery Disease, Exome, Female, Genetic Predisposition to Disease, Genetics, Population, Heterozygote, Humans, Male, Middle Aged, Mutation, Myocardial Infarction, National Heart, Lung, and Blood Institute (U.S.), Receptors, LDL, Triglycerides, United States}, issn = {1476-4687}, doi = {10.1038/nature13917}, author = {Do, Ron and Stitziel, Nathan O and Won, Hong-Hee and J{\o}rgensen, Anders Berg and Duga, Stefano and Angelica Merlini, Pier and Kiezun, Adam and Farrall, Martin and Goel, Anuj and Zuk, Or and Guella, Illaria and Asselta, Rosanna and Lange, Leslie A and Peloso, Gina M and Auer, Paul L and Girelli, Domenico and Martinelli, Nicola and Farlow, Deborah N and DePristo, Mark A and Roberts, Robert and Stewart, Alexander F R and Saleheen, Danish and Danesh, John and Epstein, Stephen E and Sivapalaratnam, Suthesh and Hovingh, G Kees and Kastelein, John J and Samani, Nilesh J and Schunkert, Heribert and Erdmann, Jeanette and Shah, Svati H and Kraus, William E and Davies, Robert and Nikpay, Majid and Johansen, Christopher T and Wang, Jian and Hegele, Robert A and Hechter, Eliana and M{\"a}rz, Winfried and Kleber, Marcus E and Huang, Jie and Johnson, Andrew D and Li, Mingyao and Burke, Greg L and Gross, Myron and Liu, Yongmei and Assimes, Themistocles L and Heiss, Gerardo and Lange, Ethan M and Folsom, Aaron R and Taylor, Herman A and Olivieri, Oliviero and Hamsten, Anders and Clarke, Robert and Reilly, Dermot F and Yin, Wu and Rivas, Manuel A and Donnelly, Peter and Rossouw, Jacques E and Psaty, Bruce M and Herrington, David M and Wilson, James G and Rich, Stephen S and Bamshad, Michael J and Tracy, Russell P and Cupples, L Adrienne and Rader, Daniel J and Reilly, Muredach P and Spertus, John A and Cresci, Sharon and Hartiala, Jaana and Tang, W H Wilson and Hazen, Stanley L and Allayee, Hooman and Reiner, Alex P and Carlson, Christopher S and Kooperberg, Charles and Jackson, Rebecca D and Boerwinkle, Eric and Lander, Eric S and Schwartz, Stephen M and Siscovick, David S and McPherson, Ruth and Tybjaerg-Hansen, Anne and Abecasis, Goncalo R and Watkins, Hugh and Nickerson, Deborah A and Ardissino, Diego and Sunyaev, Shamil R and O{\textquoteright}Donnell, Christopher J and Altshuler, David and Gabriel, Stacey and Kathiresan, Sekar} } @article {6853, title = {Fetuin-A and risk of coronary heart disease: A Mendelian randomization analysis and a pooled analysis of AHSG genetic variants in 7 prospective studies.}, journal = {Atherosclerosis}, volume = {243}, year = {2015}, month = {2015 Nov}, pages = {44-52}, abstract = {

BACKGROUND AND AIMS: Fetuin-A has a plausible role in the inhibition of arterial calcification, but its association with risk of coronary heart disease (CHD) in the general population is unclear. We used two common genetic variants in the fetuin-A gene (AHSG) that are strongly associated with circulating fetuin-A levels to investigate the associations with risk of CHD and subclinical cardiovascular measures (intima-media thickness, ankle-arm index, and coronary artery calcification).

METHODS: Genetic variation and fetuin-A levels were assessed in 3299 community-living individuals (2733 Caucasians and 566 African Americans) 65 years of age or older, free of previous cardiovascular disease, who participated in the Cardiovascular Health Study (CHS) in 1992-1993.

RESULTS: Among Caucasians, both rs2248690 and rs4917 were associated with 12\% lower fetuin-A concentrations per minor allele (P~<~0.0001). The hazard ratios (HRs) per minor allele for incident CHD were 1.12 (95\% CI: 1.00-1.26) for rs2248690 and 1.02 (0.91-1.14) for rs4917. Using both genotypes as an instrumental variable for measured fetuin-A, the HRs for one standard deviation increase in genetically determined fetuin-A levels on CHD risk were 0.84 (95\% CI: 0.70-1.00) for rs2248690 and 0.97 (95\% CI: 0.82-1.14) for rs4917, respectively. However, in CHS neither of the genotypes were associated with subclinical cardiovascular measures and when CHS data were meta-analyzed with data from six other prospective studies (totaling 26,702 Caucasian participants and 3295 CHD cases), the meta-analyzed HRs for incident CHD were 1.12 (0.93-1.34) and 1.06 (0.93-1.20) for rs2248690 and rs4917, respectively (p heterogeneity 0.005 and 0.0048).

CONCLUSION: Common variants in the AHSG gene are strongly associated with fetuin-A levels, but their concurrent association with CHD risk in current prospective studies is inconsistent. Further investigation in studies with measured fetuin-A and AHSG variants is needed to clarify the potential causal association of fetuin-A with CHD risk.

}, keywords = {Aged, Aged, 80 and over, alpha-2-HS-Glycoprotein, Carotid Intima-Media Thickness, Coronary Vessels, Female, Genetic Variation, Genotype, Heart Diseases, Humans, Insulin Resistance, Longitudinal Studies, Male, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, Vascular Calcification}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2015.08.031}, author = {Laugsand, Lars E and Ix, Joachim H and Bartz, Traci M and Djouss{\'e}, Luc and Kizer, Jorge R and Tracy, Russell P and Dehghan, Abbas and Rexrode, Kathryn and Lopez, Oscar L and Rimm, Eric B and Siscovick, David S and O{\textquoteright}Donnell, Christopher J and Newman, Anne and Mukamal, Kenneth J and Jensen, Majken K} } @article {6802, title = {Gene {\texttimes} dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry.}, journal = {Hum Mol Genet}, volume = {24}, year = {2015}, month = {2015 Aug 15}, pages = {4728-38}, abstract = {

Obesity is highly heritable. Genetic variants showing robust associations with obesity traits have been identified through genome-wide association studies. We investigated whether a composite score representing healthy diet modifies associations of these variants with obesity traits. Totally, 32 body mass index (BMI)- and 14 waist-hip ratio (WHR)-associated single nucleotide polymorphisms were genotyped, and genetic risk scores (GRS) were calculated in 18 cohorts of European ancestry (n = 68 317). Diet score was calculated based on self-reported intakes of whole grains, fish, fruits, vegetables, nuts/seeds (favorable) and red/processed meats, sweets, sugar-sweetened beverages and fried potatoes (unfavorable). Multivariable adjusted, linear regression within each cohort followed by inverse variance-weighted, fixed-effects meta-analysis was used to characterize: (a) associations of each GRS with BMI and BMI-adjusted WHR~and (b) diet score modification of genetic associations with BMI and BMI-adjusted WHR. Nominally significant interactions (P = 0.006-0.04) were observed between the diet score and WHR-GRS (but not BMI-GRS), two WHR loci (GRB14 rs10195252; LYPLAL1 rs4846567) and two BMI loci (LRRN6C rs10968576; MTIF3 rs4771122), for the respective BMI-adjusted WHR or BMI outcomes. Although the magnitudes of these select interactions were small, our data indicated that associations between genetic predisposition and obesity traits were stronger with a healthier diet. Our findings generate interesting hypotheses; however, experimental and functional studies are needed to determine their clinical relevance.

}, keywords = {Adult, Body Mass Index, Case-Control Studies, Diet, Western, Epistasis, Genetic, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Obesity, Polymorphism, Single Nucleotide}, issn = {1460-2083}, doi = {10.1093/hmg/ddv186}, author = {Nettleton, Jennifer A and Follis, Jack L and Ngwa, Julius S and Smith, Caren E and Ahmad, Shafqat and Tanaka, Toshiko and Wojczynski, Mary K and Voortman, Trudy and Lemaitre, Rozenn N and Kristiansson, Kati and Nuotio, Marja-Liisa and Houston, Denise K and Per{\"a}l{\"a}, Mia-Maria and Qi, Qibin and Sonestedt, Emily and Manichaikul, Ani and Kanoni, Stavroula and Ganna, Andrea and Mikkil{\"a}, Vera and North, Kari E and Siscovick, David S and Harald, Kennet and McKeown, Nicola M and Johansson, Ingegerd and Rissanen, Harri and Liu, Yongmei and Lahti, Jari and Hu, Frank B and Bandinelli, Stefania and Rukh, Gull and Rich, Stephen and Booij, Lisanne and Dmitriou, Maria and Ax, Erika and Raitakari, Olli and Mukamal, Kenneth and M{\"a}nnist{\"o}, Satu and Hallmans, G{\"o}ran and Jula, Antti and Ericson, Ulrika and Jacobs, David R and van Rooij, Frank J A and Deloukas, Panos and Sjogren, Per and K{\"a}h{\"o}nen, Mika and Djouss{\'e}, Luc and Perola, Markus and Barroso, In{\^e}s and Hofman, Albert and Stirrups, Kathleen and Viikari, Jorma and Uitterlinden, Andr{\'e} G and Kalafati, Ioanna P and Franco, Oscar H and Mozaffarian, Dariush and Salomaa, Veikko and Borecki, Ingrid B and Knekt, Paul and Kritchevsky, Stephen B and Eriksson, Johan G and Dedoussis, George V and Qi, Lu and Ferrucci, Luigi and Orho-Melander, Marju and Zillikens, M Carola and Ingelsson, Erik and Lehtim{\"a}ki, Terho and Renstrom, Frida and Cupples, L Adrienne and Loos, Ruth J F and Franks, Paul W} } @article {7376, title = {Gene-centric approach identifies new and known loci for FVIII activity and VWF antigen levels in European Americans and African Americans.}, journal = {Am J Hematol}, volume = {90}, year = {2015}, month = {2015 Jun}, pages = {534-40}, abstract = {

Coagulation factor VIII and von Willebrand factor (VWF) are key proteins in procoagulant activation. Higher FVIII coagulant activity (FVIII :C) and VWF antigen (VWF :Ag) are risk factors for cardiovascular disease and venous thromboembolism. Beyond associations with ABO blood group, genetic determinants of FVIII and VWF are not well understood, especially in non European-American populations. We performed a genetic association study of FVIII :C and VWF:Ag that assessed 50,000 gene-centric single nucleotide polymorphisms (SNPs) in 18,556 European Americans (EAs) and 5,047 African Americans (AAs) from five population-based cohorts. Previously unreported associations for FVIII :C were identified in both AAs and EAs with KNG1 (most significantly associated SNP rs710446, Ile581Thr, Ile581Thr, P = 5.10 {\texttimes} 10(-7) in EAs and P = 3.88 {\texttimes} 10(-3) in AAs) and VWF rs7962217 (Gly2705Arg,P = 6.30 {\texttimes} 10(-9) in EAs and P = 2.98 {\texttimes} 10(-2) in AAs. Significant associations for FVIII :C were also observed with F8/TMLHE region SNP rs12557310 in EAs (P = 8.02 {\texttimes} 10(-10) ), with VWF rs1800380 in AAs (P = 5.62 {\texttimes} 10(-11) ), and with MAT1A rs2236568 in AAs (P51.69 {\texttimes} 10(-6) ). We replicated previously reported associations of FVIII :C and VWF :Ag with the ABO blood group, VWF rs1063856(Thr789Ala), rs216321 (Ala852Gln), and VWF rs2229446 (Arg2185Gln). Findings from this study expand our understanding of genetic influences for FVIII :C and VWF :Ag in both EAs and AAs.

}, keywords = {Adult, African Americans, Aged, European Continental Ancestry Group, Factor VIII, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Methionine Adenosyltransferase, Middle Aged, Polymorphism, Single Nucleotide, Venous Thromboembolism, von Willebrand Factor}, issn = {1096-8652}, doi = {10.1002/ajh.24005}, author = {Tang, Weihong and Cushman, Mary and Green, David and Rich, Stephen S and Lange, Leslie A and Yang, Qiong and Tracy, Russell P and Tofler, Geoffrey H and Basu, Saonli and Wilson, James G and Keating, Brendan J and Weng, Lu-Chen and Taylor, Herman A and Jacobs, David R and Delaney, Joseph A and Palmer, Cameron D and Young, Taylor and Pankow, James S and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Reiner, Alexander P and Folsom, Aaron R} } @article {6927, title = {Gene-Environment Interactions of Circadian-Related Genes for Cardiometabolic Traits.}, journal = {Diabetes Care}, volume = {38}, year = {2015}, month = {2015 Aug}, pages = {1456-66}, abstract = {

OBJECTIVE: Common circadian-related gene variants associate with increased risk for metabolic alterations including type 2 diabetes. However, little is known about whether diet and sleep could modify associations between circadian-related variants (CLOCK-rs1801260, CRY2-rs11605924, MTNR1B-rs1387153, MTNR1B-rs10830963, NR1D1-rs2314339) and cardiometabolic traits (fasting glucose [FG], HOMA-insulin resistance, BMI, waist circumference, and HDL-cholesterol) to facilitate personalized recommendations.

RESEARCH DESIGN AND METHODS: We conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations and interactions between dietary intake/sleep duration and selected variants on cardiometabolic traits from 15 cohort studies including up to 28,190 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.

RESULTS: We observed significant associations between relative macronutrient intakes and glycemic traits and short sleep duration (<7 h) and higher FG and replicated known MTNR1B associations with glycemic traits. No interactions were evident after accounting for multiple comparisons. However, we observed nominally significant interactions (all P < 0.01) between carbohydrate intake and MTNR1B-rs1387153 for FG with a 0.003 mmol/L higher FG with each additional 1\% carbohydrate intake in the presence of the T allele, between sleep duration and CRY2-rs11605924 for HDL-cholesterol with a 0.010 mmol/L higher HDL-cholesterol with each additional hour of sleep in the presence of the A allele, and between long sleep duration (>=9 h) and MTNR1B-rs1387153 for BMI with a 0.60 kg/m(2) higher BMI with long sleep duration in the presence of the T allele relative to normal sleep duration (>=7 to <9 h).

CONCLUSIONS: Our results suggest that lower carbohydrate intake and normal sleep duration may ameliorate cardiometabolic abnormalities conferred by common circadian-related genetic variants. Until further mechanistic examination of the nominally significant interactions is conducted, recommendations applicable to the general population regarding diet{\textemdash}specifically higher carbohydrate and lower fat composition{\textemdash}and normal sleep duration should continue to be emphasized among individuals with the investigated circadian-related gene variants.

}, keywords = {Adult, Alleles, Blood Glucose, Circadian Rhythm Signaling Peptides and Proteins, Cohort Studies, Diabetes Mellitus, Type 2, Diet, Fat-Restricted, European Continental Ancestry Group, Fasting, Female, Gene-Environment Interaction, Humans, Insulin Resistance, Male, Middle Aged, Multicenter Studies as Topic, Observational Studies as Topic, Phenotype, Polymorphism, Single Nucleotide, Sleep, Waist Circumference}, issn = {1935-5548}, doi = {10.2337/dc14-2709}, author = {Dashti, Hassan S and Follis, Jack L and Smith, Caren E and Tanaka, Toshiko and Garaulet, Marta and Gottlieb, Daniel J and Hruby, Adela and Jacques, Paul F and Kiefte-de Jong, Jessica C and Lamon-Fava, Stefania and Scheer, Frank A J L and Bartz, Traci M and Kovanen, Leena and Wojczynski, Mary K and Frazier-Wood, Alexis C and Ahluwalia, Tarunveer S and Per{\"a}l{\"a}, Mia-Maria and Jonsson, Anna and Muka, Taulant and Kalafati, Ioanna P and Mikkil{\"a}, Vera and Ordovas, Jose M} } @article {6816, title = {Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949).}, journal = {Mol Psychiatry}, volume = {20}, year = {2015}, month = {2015 Feb}, pages = {183-92}, abstract = {

General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53,949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 {\texttimes} 10(-9), MIR2113; rs17522122, P=2.55 {\texttimes} 10(-8), AKAP6; rs10119, P=5.67 {\texttimes} 10(-9), APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 {\texttimes} 10(-6)). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29\% (s.e.=5\%) and 28\% (s.e.=7\%), respectively. Using polygenic prediction analysis, ~1.2\% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 {\texttimes} 10(-17)). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer{\textquoteright}s disease: TOMM40, APOE, ABCG1 and MEF2C.

}, keywords = {Aged, Aged, 80 and over, Atherosclerosis, Cognition, Cognition Disorders, Cohort Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, HMGN1 Protein, Humans, Male, Middle Aged, Neuropsychological Tests, Phenotype, Polymorphism, Single Nucleotide, Scotland}, issn = {1476-5578}, doi = {10.1038/mp.2014.188}, author = {Davies, G and Armstrong, N and Bis, J C and Bressler, J and Chouraki, V and Giddaluru, S and Hofer, E and Ibrahim-Verbaas, C A and Kirin, M and Lahti, J and van der Lee, S J and Le Hellard, S and Liu, T and Marioni, R E and Oldmeadow, C and Postmus, I and Smith, A V and Smith, J A and Thalamuthu, A and Thomson, R and Vitart, V and Wang, J and Yu, L and Zgaga, L and Zhao, W and Boxall, R and Harris, S E and Hill, W D and Liewald, D C and Luciano, M and Adams, H and Ames, D and Amin, N and Amouyel, P and Assareh, A A and Au, R and Becker, J T and Beiser, A and Berr, C and Bertram, L and Boerwinkle, E and Buckley, B M and Campbell, H and Corley, J and De Jager, P L and Dufouil, C and Eriksson, J G and Espeseth, T and Faul, J D and Ford, I and Gottesman, R F and Griswold, M E and Gudnason, V and Harris, T B and Heiss, G and Hofman, A and Holliday, E G and Huffman, J and Kardia, S L R and Kochan, N and Knopman, D S and Kwok, J B and Lambert, J-C and Lee, T and Li, G and Li, S-C and Loitfelder, M and Lopez, O L and Lundervold, A J and Lundqvist, A and Mather, K A and Mirza, S S and Nyberg, L and Oostra, B A and Palotie, A and Papenberg, G and Pattie, A and Petrovic, K and Polasek, O and Psaty, B M and Redmond, P and Reppermund, S and Rotter, J I and Schmidt, H and Schuur, M and Schofield, P W and Scott, R J and Steen, V M and Stott, D J and van Swieten, J C and Taylor, K D and Trollor, J and Trompet, S and Uitterlinden, A G and Weinstein, G and Widen, E and Windham, B G and Jukema, J W and Wright, A F and Wright, M J and Yang, Q and Amieva, H and Attia, J R and Bennett, D A and Brodaty, H and de Craen, A J M and Hayward, C and Ikram, M A and Lindenberger, U and Nilsson, L-G and Porteous, D J and R{\"a}ikk{\"o}nen, K and Reinvang, I and Rudan, I and Sachdev, P S and Schmidt, R and Schofield, P R and Srikanth, V and Starr, J M and Turner, S T and Weir, D R and Wilson, J F and van Duijn, C and Launer, L and Fitzpatrick, A L and Seshadri, S and Mosley, T H and Deary, I J} } @article {6688, title = {Genetic overlap between diagnostic subtypes of ischemic stroke.}, journal = {Stroke}, volume = {46}, year = {2015}, month = {2015 Mar}, pages = {615-9}, abstract = {

BACKGROUND AND PURPOSE: Despite moderate heritability, the phenotypic heterogeneity of ischemic stroke has hampered gene discovery, motivating analyses of diagnostic subtypes with reduced sample sizes. We assessed evidence for a shared genetic basis among the 3 major subtypes: large artery atherosclerosis (LAA), cardioembolism, and small vessel disease (SVD), to inform potential cross-subtype analyses.

METHODS: Analyses used genome-wide summary data for 12 389 ischemic stroke cases (including 2167 LAA, 2405 cardioembolism, and 1854 SVD) and 62 004 controls from the Metastroke consortium. For 4561 cases and 7094 controls, individual-level genotype data were also available. Genetic correlations between subtypes were estimated using linear mixed models and polygenic profile scores. Meta-analysis of a combined LAA-SVD phenotype (4021 cases and 51 976 controls) was performed to identify shared risk alleles.

RESULTS: High genetic correlation was identified between LAA and SVD using linear mixed models (rg=0.96, SE=0.47, P=9{\texttimes}10(-4)) and profile scores (rg=0.72; 95\% confidence interval, 0.52-0.93). Between LAA and cardioembolism and SVD and cardioembolism, correlation was moderate using linear mixed models but not significantly different from zero for profile scoring. Joint meta-analysis of LAA and SVD identified strong association (P=1{\texttimes}10(-7)) for single nucleotide polymorphisms near the opioid receptor μ1 (OPRM1) gene.

CONCLUSIONS: Our results suggest that LAA and SVD, which have been hitherto treated as genetically distinct, may share a substantial genetic component. Combined analyses of LAA and SVD may increase power to identify small-effect alleles influencing shared pathophysiological processes.

}, keywords = {Alleles, Atherosclerosis, Cerebral Small Vessel Diseases, Cohort Studies, Data Interpretation, Statistical, Embolism, Genome-Wide Association Study, Genotype, Humans, Ischemia, Linear Models, Meta-Analysis as Topic, Phenotype, Polymorphism, Single Nucleotide, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.114.007930}, author = {Holliday, Elizabeth G and Traylor, Matthew and Malik, Rainer and Bevan, Steve and Falcone, Guido and Hopewell, Jemma C and Cheng, Yu-Ching and Cotlarciuc, Ioana and Bis, Joshua C and Boerwinkle, Eric and Boncoraglio, Giorgio B and Clarke, Robert and Cole, John W and Fornage, Myriam and Furie, Karen L and Ikram, M Arfan and Jannes, Jim and Kittner, Steven J and Lincz, Lisa F and Maguire, Jane M and Meschia, James F and Mosley, Thomas H and Nalls, Mike A and Oldmeadow, Christopher and Parati, Eugenio A and Psaty, Bruce M and Rothwell, Peter M and Seshadri, Sudha and Scott, Rodney J and Sharma, Pankaj and Sudlow, Cathie and Wiggins, Kerri L and Worrall, Bradford B and Rosand, Jonathan and Mitchell, Braxton D and Dichgans, Martin and Markus, Hugh S and Levi, Christopher and Attia, John and Wray, Naomi R} } @article {6682, title = {Genome of The Netherlands population-specific imputations identify an ABCA6 variant associated with cholesterol levels.}, journal = {Nat Commun}, volume = {6}, year = {2015}, month = {2015}, pages = {6065}, abstract = {

Variants associated with blood lipid levels may be population-specific. To identify low-frequency variants associated with this phenotype, population-specific reference panels may be used. Here we impute nine large Dutch biobanks (~35,000 samples) with the population-specific reference panel created by the Genome of The Netherlands Project and perform association testing with blood lipid levels. We report the discovery of five novel associations at four loci (P value <6.61 {\texttimes} 10(-4)), including a rare missense variant in ABCA6 (rs77542162, p.Cys1359Arg, frequency 0.034), which is predicted to be deleterious. The frequency of this ABCA6 variant is 3.65-fold increased in the Dutch and its effect (βLDL-C=0.135, βTC=0.140) is estimated to be very similar to those observed for single variants in well-known lipid genes, such as LDLR.

}, keywords = {ATP-Binding Cassette Transporters, Cholesterol, Gene Frequency, Genetic Association Studies, Humans, Mutation, Missense, Netherlands}, issn = {2041-1723}, doi = {10.1038/ncomms7065}, author = {van Leeuwen, Elisabeth M and Karssen, Lennart C and Deelen, Joris and Isaacs, Aaron and Medina-G{\'o}mez, Carolina and Mbarek, Hamdi and Kanterakis, Alexandros and Trompet, Stella and Postmus, Iris and Verweij, Niek and van Enckevort, David J and Huffman, Jennifer E and White, Charles C and Feitosa, Mary F and Bartz, Traci M and Manichaikul, Ani and Joshi, Peter K and Peloso, Gina M and Deelen, Patrick and van Dijk, Freerk and Willemsen, Gonneke and de Geus, Eco J and Milaneschi, Yuri and Penninx, Brenda W J H and Francioli, Laurent C and Menelaou, Androniki and Pulit, Sara L and Rivadeneira, Fernando and Hofman, Albert and Oostra, Ben A and Franco, Oscar H and Mateo Leach, Irene and Beekman, Marian and de Craen, Anton J M and Uh, Hae-Won and Trochet, Holly and Hocking, Lynne J and Porteous, David J and Sattar, Naveed and Packard, Chris J and Buckley, Brendan M and Brody, Jennifer A and Bis, Joshua C and Rotter, Jerome I and Mychaleckyj, Josyf C and Campbell, Harry and Duan, Qing and Lange, Leslie A and Wilson, James F and Hayward, Caroline and Polasek, Ozren and Vitart, Veronique and Rudan, Igor and Wright, Alan F and Rich, Stephen S and Psaty, Bruce M and Borecki, Ingrid B and Kearney, Patricia M and Stott, David J and Adrienne Cupples, L and Jukema, J Wouter and van der Harst, Pim and Sijbrands, Eric J and Hottenga, Jouke-Jan and Uitterlinden, Andr{\'e} G and Swertz, Morris A and van Ommen, Gert-Jan B and de Bakker, Paul I W and Eline Slagboom, P and Boomsma, Dorret I and Wijmenga, Cisca and van Duijn, Cornelia M} } @article {6606, title = {Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption.}, journal = {Mol Psychiatry}, volume = {20}, year = {2015}, month = {2015 May}, pages = {647-56}, abstract = {

Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to 91,462 coffee consumers of European ancestry with top single-nucleotide polymorphisms (SNPs) followed-up in ~30 062 and 7964 coffee consumers of European and African-American ancestry, respectively. Studies from both stages were combined in a trans-ethnic meta-analysis. Confirmed loci were examined for putative functional and biological relevance. Eight loci, including six novel loci, met GW significance (log10Bayes factor (BF)>5.64) with per-allele effect sizes of 0.03-0.14 cups per day. Six are located in or near genes potentially involved in pharmacokinetics (ABCG2, AHR, POR and CYP1A2) and pharmacodynamics (BDNF and SLC6A4) of caffeine. Two map to GCKR and MLXIPL genes related to metabolic traits but lacking known roles in coffee consumption. Enhancer and promoter histone marks populate the regions of many confirmed loci and several potential regulatory SNPs are highly correlated with the lead SNP of each. SNP alleles near GCKR, MLXIPL, BDNF and CYP1A2 that were associated with higher coffee consumption have previously been associated with smoking initiation, higher adiposity and fasting insulin and glucose but lower blood pressure and favorable lipid, inflammatory and liver enzyme profiles (P<5 {\texttimes} 10(-8)).Our genetic findings among European and African-American adults reinforce the role of caffeine in mediating habitual coffee consumption and may point to molecular mechanisms underlying inter-individual variability in pharmacological and health effects of coffee.

}, keywords = {Adaptor Proteins, Signal Transducing, Basic Helix-Loop-Helix Leucine Zipper Transcription Factors, Brain-Derived Neurotrophic Factor, Coffea, Cytochrome P-450 CYP1A2, Food Habits, Genome-Wide Association Study, Humans, Phenotype, Polymorphism, Single Nucleotide}, issn = {1476-5578}, doi = {10.1038/mp.2014.107}, author = {Cornelis, M C and Byrne, E M and Esko, T and Nalls, M A and Ganna, A and Paynter, N and Monda, K L and Amin, N and Fischer, K and Renstrom, F and Ngwa, J S and Huikari, V and Cavadino, A and Nolte, I M and Teumer, A and Yu, K and Marques-Vidal, P and Rawal, R and Manichaikul, A and Wojczynski, M K and Vink, J M and Zhao, J H and Burlutsky, G and Lahti, J and Mikkil{\"a}, V and Lemaitre, R N and Eriksson, J and Musani, S K and Tanaka, T and Geller, F and Luan, J and Hui, J and M{\"a}gi, R and Dimitriou, M and Garcia, M E and Ho, W-K and Wright, M J and Rose, L M and Magnusson, P K E and Pedersen, N L and Couper, D and Oostra, B A and Hofman, A and Ikram, M A and Tiemeier, H W and Uitterlinden, A G and van Rooij, F J A and Barroso, I and Johansson, I and Xue, L and Kaakinen, M and Milani, L and Power, C and Snieder, H and Stolk, R P and Baumeister, S E and Biffar, R and Gu, F and Bastardot, F and Kutalik, Z and Jacobs, D R and Forouhi, N G and Mihailov, E and Lind, L and Lindgren, C and Micha{\"e}lsson, K and Morris, A and Jensen, M and Khaw, K-T and Luben, R N and Wang, J J and M{\"a}nnist{\"o}, S and Per{\"a}l{\"a}, M-M and K{\"a}h{\"o}nen, M and Lehtim{\"a}ki, T and Viikari, J and Mozaffarian, D and Mukamal, K and Psaty, B M and D{\"o}ring, A and Heath, A C and Montgomery, G W and Dahmen, N and Carithers, T and Tucker, K L and Ferrucci, L and Boyd, H A and Melbye, M and Treur, J L and Mellstr{\"o}m, D and Hottenga, J J and Prokopenko, I and T{\"o}njes, A and Deloukas, P and Kanoni, S and Lorentzon, M and Houston, D K and Liu, Y and Danesh, J and Rasheed, A and Mason, M A and Zonderman, A B and Franke, L and Kristal, B S and Karjalainen, J and Reed, D R and Westra, H-J and Evans, M K and Saleheen, D and Harris, T B and Dedoussis, G and Curhan, G and Stumvoll, M and Beilby, J and Pasquale, L R and Feenstra, B and Bandinelli, S and Ordov{\'a}s, J M and Chan, A T and Peters, U and Ohlsson, C and Gieger, C and Martin, N G and Waldenberger, M and Siscovick, D S and Raitakari, O and Eriksson, J G and Mitchell, P and Hunter, D J and Kraft, P and Rimm, E B and Boomsma, D I and Borecki, I B and Loos, R J F and Wareham, N J and Vollenweider, P and Caporaso, N and Grabe, H J and Neuhouser, M L and Wolffenbuttel, B H R and Hu, F B and Hypponen, E and J{\"a}rvelin, M-R and Cupples, L A and Franks, P W and Ridker, P M and van Duijn, C M and Heiss, G and Metspalu, A and North, K E and Ingelsson, E and Nettleton, J A and van Dam, R M and Chasman, D I} } @article {6684, title = {Genome-wide studies of verbal declarative memory in nondemented older people: the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium.}, journal = {Biol Psychiatry}, volume = {77}, year = {2015}, month = {2015 Apr 15}, pages = {749-63}, abstract = {

BACKGROUND: Memory performance in older persons can reflect genetic influences on cognitive function and dementing processes. We aimed to identify genetic contributions to verbal declarative memory in a community setting.

METHODS: We conducted genome-wide association studies for paragraph or word list delayed recall in 19 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, comprising 29,076 dementia- and stroke-free individuals of European descent, aged >=45 years. Replication of suggestive associations (p < 5 {\texttimes} 10(-6)) was sought in 10,617 participants of European descent, 3811 African-Americans, and 1561 young adults.

RESULTS: rs4420638, near APOE, was associated with poorer delayed recall performance in discovery (p = 5.57 {\texttimes} 10(-10)) and replication cohorts (p = 5.65 {\texttimes} 10(-8)). This association was stronger for paragraph than word list delayed recall and in the oldest persons. Two associations with specific tests, in subsets of the total sample, reached genome-wide significance in combined analyses of discovery and replication (rs11074779 [HS3ST4], p = 3.11 {\texttimes} 10(-8), and rs6813517 [SPOCK3], p = 2.58 {\texttimes} 10(-8)) near genes involved in immune response. A genetic score combining 58 independent suggestive memory risk variants was associated with increasing Alzheimer disease pathology in 725 autopsy samples. Association of memory risk loci with gene expression in 138 human hippocampus samples showed cis-associations with WDR48 and CLDN5, both related to ubiquitin metabolism.

CONCLUSIONS: This largest study to date exploring the genetics of memory function in ~40,000 older individuals revealed genome-wide associations and suggested an involvement of immune and ubiquitin pathways.

}, keywords = {Aged, Aged, 80 and over, Aging, Apolipoproteins E, Claudin-5, Cohort Studies, Female, Genome-Wide Association Study, Genotype, Humans, Male, Memory Disorders, Middle Aged, Polymorphism, Single Nucleotide, Proteins, Proteoglycans, Regression Analysis, Sulfotransferases, Verbal Learning}, issn = {1873-2402}, doi = {10.1016/j.biopsych.2014.08.027}, author = {Debette, Stephanie and Ibrahim Verbaas, Carla A and Bressler, Jan and Schuur, Maaike and Smith, Albert and Bis, Joshua C and Davies, Gail and Wolf, Christiane and Gudnason, Vilmundur and Chibnik, Lori B and Yang, Qiong and DeStefano, Anita L and de Quervain, Dominique J F and Srikanth, Velandai and Lahti, Jari and Grabe, Hans J and Smith, Jennifer A and Priebe, Lutz and Yu, Lei and Karbalai, Nazanin and Hayward, Caroline and Wilson, James F and Campbell, Harry and Petrovic, Katja and Fornage, Myriam and Chauhan, Ganesh and Yeo, Robin and Boxall, Ruth and Becker, James and Stegle, Oliver and Mather, Karen A and Chouraki, Vincent and Sun, Qi and Rose, Lynda M and Resnick, Susan and Oldmeadow, Christopher and Kirin, Mirna and Wright, Alan F and Jonsdottir, Maria K and Au, Rhoda and Becker, Albert and Amin, Najaf and Nalls, Mike A and Turner, Stephen T and Kardia, Sharon L R and Oostra, Ben and Windham, Gwen and Coker, Laura H and Zhao, Wei and Knopman, David S and Heiss, Gerardo and Griswold, Michael E and Gottesman, Rebecca F and Vitart, Veronique and Hastie, Nicholas D and Zgaga, Lina and Rudan, Igor and Polasek, Ozren and Holliday, Elizabeth G and Schofield, Peter and Choi, Seung Hoan and Tanaka, Toshiko and An, Yang and Perry, Rodney T and Kennedy, Richard E and Sale, Mich{\`e}le M and Wang, Jing and Wadley, Virginia G and Liewald, David C and Ridker, Paul M and Gow, Alan J and Pattie, Alison and Starr, John M and Porteous, David and Liu, Xuan and Thomson, Russell and Armstrong, Nicola J and Eiriksdottir, Gudny and Assareh, Arezoo A and Kochan, Nicole A and Widen, Elisabeth and Palotie, Aarno and Hsieh, Yi-Chen and Eriksson, Johan G and Vogler, Christian and van Swieten, John C and Shulman, Joshua M and Beiser, Alexa and Rotter, Jerome and Schmidt, Carsten O and Hoffmann, Wolfgang and N{\"o}then, Markus M and Ferrucci, Luigi and Attia, John and Uitterlinden, Andr{\'e} G and Amouyel, Philippe and Dartigues, Jean-Fran{\c c}ois and Amieva, H{\'e}l{\`e}ne and R{\"a}ikk{\"o}nen, Katri and Garcia, Melissa and Wolf, Philip A and Hofman, Albert and Longstreth, W T and Psaty, Bruce M and Boerwinkle, Eric and DeJager, Philip L and Sachdev, Perminder S and Schmidt, Reinhold and Breteler, Monique M B and Teumer, Alexander and Lopez, Oscar L and Cichon, Sven and Chasman, Daniel I and Grodstein, Francine and M{\"u}ller-Myhsok, Bertram and Tzourio, Christophe and Papassotiropoulos, Andreas and Bennett, David A and Ikram, M Arfan and Deary, Ian J and van Duijn, Cornelia M and Launer, Lenore and Fitzpatrick, Annette L and Seshadri, Sudha and Mosley, Thomas H} } @article {6550, title = {GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {70}, year = {2015}, month = {2015 Jan}, pages = {110-8}, abstract = {

BACKGROUND: The genetic contribution to longevity in humans has been estimated to range from 15\% to 25\%. Only two genes, APOE and FOXO3, have shown association with longevity in multiple independent studies.

METHODS: We conducted a meta-analysis of genome-wide association studies including 6,036 longevity cases, age >=90 years, and 3,757 controls that died between ages 55 and 80 years. We additionally attempted to replicate earlier identified single nucleotide polymorphism (SNP) associations with longevity.

RESULTS: In our meta-analysis, we found suggestive evidence for the association of SNPs near CADM2 (odds ratio [OR] = 0.81; p value = 9.66 {\texttimes} 10(-7)) and GRIK2 (odds ratio = 1.24; p value = 5.09 {\texttimes} 10(-8)) with longevity. When attempting to replicate findings earlier identified in genome-wide association studies, only the APOE locus consistently replicated. In an additional look-up of the candidate gene FOXO3, we found that an earlier identified variant shows a highly significant association with longevity when including published data with our meta-analysis (odds ratio = 1.17; p value = 1.85{\texttimes}10(-10)).

CONCLUSIONS: We did not identify new genome-wide significant associations with longevity and did not replicate earlier findings except for APOE and FOXO3. Our inability to find new associations with survival to ages >=90 years because longevity represents multiple complex traits with heterogeneous genetic underpinnings, or alternatively, that longevity may be regulated by rare variants that are not captured by standard genome-wide genotyping and imputation of common variants.

}, keywords = {Aged, Aged, 80 and over, Apolipoproteins E, Cell Adhesion Molecules, Cohort Studies, Female, Forkhead Box Protein O3, Forkhead Transcription Factors, Genome-Wide Association Study, Humans, Longevity, Male, Middle Aged, Polymorphism, Single Nucleotide, Receptors, Kainic Acid}, issn = {1758-535X}, doi = {10.1093/gerona/glu166}, author = {Broer, Linda and Buchman, Aron S and Deelen, Joris and Evans, Daniel S and Faul, Jessica D and Lunetta, Kathryn L and Sebastiani, Paola and Smith, Jennifer A and Smith, Albert V and Tanaka, Toshiko and Yu, Lei and Arnold, Alice M and Aspelund, Thor and Benjamin, Emelia J and De Jager, Philip L and Eirkisdottir, Gudny and Evans, Denis A and Garcia, Melissa E and Hofman, Albert and Kaplan, Robert C and Kardia, Sharon L R and Kiel, Douglas P and Oostra, Ben A and Orwoll, Eric S and Parimi, Neeta and Psaty, Bruce M and Rivadeneira, Fernando and Rotter, Jerome I and Seshadri, Sudha and Singleton, Andrew and Tiemeier, Henning and Uitterlinden, Andr{\'e} G and Zhao, Wei and Bandinelli, Stefania and Bennett, David A and Ferrucci, Luigi and Gudnason, Vilmundur and Harris, Tamara B and Karasik, David and Launer, Lenore J and Perls, Thomas T and Slagboom, P Eline and Tranah, Gregory J and Weir, David R and Newman, Anne B and van Duijn, Cornelia M and Murabito, Joanne M} } @article {6614, title = {Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants.}, journal = {Am J Clin Nutr}, volume = {101}, year = {2015}, month = {2015 Jan}, pages = {135-43}, abstract = {

BACKGROUND: Short sleep duration has been associated with greater risks of obesity, hypertension, diabetes, and cardiovascular disease. Also, common genetic variants in the human Circadian Locomotor Output Cycles Kaput (CLOCK) show associations with ghrelin and total energy intake.

OBJECTIVES: We examined associations between habitual sleep duration, body mass index (BMI), and macronutrient intake and assessed whether CLOCK variants modify these associations.

DESIGN: We conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations of sleep duration and BMI and macronutrient intake as percentages of total energy as well as interactions with CLOCK variants from 9 cohort studies including up to 14,906 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.

RESULTS: We observed a significant association between sleep duration and lower BMI (β {\textpm} SE = 0.16 {\textpm} 0.04, P < 0.0001) in the overall sample; however, associations between sleep duration and relative macronutrient intake were evident in age- and sex-stratified analyses only. We observed a significant association between sleep duration and lower saturated fatty acid intake in younger (aged 20-64 y) adults (men: 0.11 {\textpm} 0.06\%, P = 0.03; women: 0.10 {\textpm} 0.05\%, P = 0.04) and with lower carbohydrate (-0.31 {\textpm} 0.12\%, P < 0.01), higher total fat (0.18 {\textpm} 0.09\%, P = 0.05), and higher PUFA (0.05 {\textpm} 0.02\%, P = 0.02) intakes in older (aged 65-80 y) women. In addition, the following 2 nominally significant interactions were observed: between sleep duration and rs12649507 on PUFA intake and between sleep duration and rs6858749 on protein intake.

CONCLUSIONS: Our results indicate that longer habitual sleep duration is associated with lower BMI and age- and sex-specific favorable dietary behaviors. Differences in the relative intake of specific macronutrients associated with short sleep duration could, at least in part, explain previously reported associations between short sleep duration and chronic metabolic abnormalities. In addition, the influence of obesity-associated CLOCK variants on the association between sleep duration and macronutrient intake suggests that longer habitual sleep duration could ameliorate the genetic predisposition to obesity via a favorable dietary profile.

}, keywords = {Adult, Body Mass Index, CLOCK Proteins, Cohort Studies, Cross-Sectional Studies, Diet, Dietary Proteins, Energy Intake, European Continental Ancestry Group, Fatty Acids, Unsaturated, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Obesity, Polymorphism, Single Nucleotide, Sleep, Young Adult}, issn = {1938-3207}, doi = {10.3945/ajcn.114.095026}, author = {Dashti, Hassan S and Follis, Jack L and Smith, Caren E and Tanaka, Toshiko and Cade, Brian E and Gottlieb, Daniel J and Hruby, Adela and Jacques, Paul F and Lamon-Fava, Stefania and Richardson, Kris and Saxena, Richa and Scheer, Frank A J L and Kovanen, Leena and Bartz, Traci M and Per{\"a}l{\"a}, Mia-Maria and Jonsson, Anna and Frazier-Wood, Alexis C and Kalafati, Ioanna-Panagiota and Mikkil{\"a}, Vera and Partonen, Timo and Lemaitre, Rozenn N and Lahti, Jari and Hernandez, Dena G and Toft, Ulla and Johnson, W Craig and Kanoni, Stavroula and Raitakari, Olli T and Perola, Markus and Psaty, Bruce M and Ferrucci, Luigi and Grarup, Niels and Highland, Heather M and Rallidis, Loukianos and K{\"a}h{\"o}nen, Mika and Havulinna, Aki S and Siscovick, David S and R{\"a}ikk{\"o}nen, Katri and J{\o}rgensen, Torben and Rotter, Jerome I and Deloukas, Panos and Viikari, Jorma S A and Mozaffarian, Dariush and Linneberg, Allan and Sepp{\"a}l{\"a}, Ilkka and Hansen, Torben and Salomaa, Veikko and Gharib, Sina A and Eriksson, Johan G and Bandinelli, Stefania and Pedersen, Oluf and Rich, Stephen S and Dedoussis, George and Lehtim{\"a}ki, Terho and Ordovas, Jose M} } @article {6863, title = {HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials.}, journal = {Lancet}, volume = {385}, year = {2015}, month = {2015 Jan 24}, pages = {351-61}, abstract = {

BACKGROUND: Statins increase the risk of new-onset type 2 diabetes mellitus. We aimed to assess whether this increase in risk is a consequence of inhibition of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), the intended drug target.

METHODS: We used single nucleotide polymorphisms in the HMGCR gene, rs17238484 (for the main analysis) and rs12916 (for a subsidiary analysis) as proxies for HMGCR inhibition by statins. We examined associations of these variants with plasma lipid, glucose, and insulin concentrations; bodyweight; waist circumference; and prevalent and incident type 2 diabetes. Study-specific effect estimates per copy of each LDL-lowering allele were pooled by meta-analysis. These findings were compared with a meta-analysis of new-onset type 2 diabetes and bodyweight change data from randomised trials of statin drugs. The effects of statins in each randomised trial were assessed using meta-analysis.

FINDINGS: Data were available for up to 223 463 individuals from 43 genetic studies. Each additional rs17238484-G allele was associated with a mean 0{\textperiodcentered}06 mmol/L (95\% CI 0{\textperiodcentered}05-0{\textperiodcentered}07) lower LDL cholesterol and higher body weight (0{\textperiodcentered}30 kg, 0{\textperiodcentered}18-0{\textperiodcentered}43), waist circumference (0{\textperiodcentered}32 cm, 0{\textperiodcentered}16-0{\textperiodcentered}47), plasma insulin concentration (1{\textperiodcentered}62\%, 0{\textperiodcentered}53-2{\textperiodcentered}72), and plasma glucose concentration (0{\textperiodcentered}23\%, 0{\textperiodcentered}02-0{\textperiodcentered}44). The rs12916 SNP had similar effects on LDL cholesterol, bodyweight, and waist circumference. The rs17238484-G allele seemed to be associated with higher risk of type 2 diabetes (odds ratio [OR] per allele 1{\textperiodcentered}02, 95\% CI 1{\textperiodcentered}00-1{\textperiodcentered}05); the rs12916-T allele association was consistent (1{\textperiodcentered}06, 1{\textperiodcentered}03-1{\textperiodcentered}09). In 129 170 individuals in randomised trials, statins lowered LDL cholesterol by 0{\textperiodcentered}92 mmol/L (95\% CI 0{\textperiodcentered}18-1{\textperiodcentered}67) at 1-year of follow-up, increased bodyweight by 0{\textperiodcentered}24 kg (95\% CI 0{\textperiodcentered}10-0{\textperiodcentered}38 in all trials; 0{\textperiodcentered}33 kg, 95\% CI 0{\textperiodcentered}24-0{\textperiodcentered}42 in placebo or standard care controlled trials and -0{\textperiodcentered}15 kg, 95\% CI -0{\textperiodcentered}39 to 0{\textperiodcentered}08 in intensive-dose vs moderate-dose trials) at a mean of 4{\textperiodcentered}2 years (range 1{\textperiodcentered}9-6{\textperiodcentered}7) of follow-up, and increased the odds of new-onset type 2 diabetes (OR 1{\textperiodcentered}12, 95\% CI 1{\textperiodcentered}06-1{\textperiodcentered}18 in all trials; 1{\textperiodcentered}11, 95\% CI 1{\textperiodcentered}03-1{\textperiodcentered}20 in placebo or standard care controlled trials and 1{\textperiodcentered}12, 95\% CI 1{\textperiodcentered}04-1{\textperiodcentered}22 in intensive-dose vs moderate dose trials).

INTERPRETATION: The increased risk of type 2 diabetes noted with statins is at least partially explained by HMGCR inhibition.

FUNDING: The funding sources are cited at the end of the paper.

}, keywords = {Aged, Body Mass Index, Body Weight, Cholesterol, HDL, Cholesterol, LDL, Diabetes Mellitus, Type 2, Female, Genetic Testing, Humans, Hydroxymethylglutaryl CoA Reductases, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Male, Middle Aged, Polymorphism, Single Nucleotide, Randomized Controlled Trials as Topic, Risk Factors}, issn = {1474-547X}, doi = {10.1016/S0140-6736(14)61183-1}, author = {Swerdlow, Daniel I and Preiss, David and Kuchenbaecker, Karoline B and Holmes, Michael V and Engmann, Jorgen E L and Shah, Tina and Sofat, Reecha and Stender, Stefan and Johnson, Paul C D and Scott, Robert A and Leusink, Maarten and Verweij, Niek and Sharp, Stephen J and Guo, Yiran and Giambartolomei, Claudia and Chung, Christina and Peasey, Anne and Amuzu, Antoinette and Li, KaWah and Palmen, Jutta and Howard, Philip and Cooper, Jackie A and Drenos, Fotios and Li, Yun R and Lowe, Gordon and Gallacher, John and Stewart, Marlene C W and Tzoulaki, Ioanna and Buxbaum, Sarah G and van der A, Daphne L and Forouhi, Nita G and Onland-Moret, N Charlotte and van der Schouw, Yvonne T and Schnabel, Renate B and Hubacek, Jaroslav A and Kubinova, Ruzena and Baceviciene, Migle and Tamosiunas, Abdonas and Pajak, Andrzej and Topor-Madry, Roman and Stepaniak, Urszula and Malyutina, Sofia and Baldassarre, Damiano and Sennblad, Bengt and Tremoli, Elena and de Faire, Ulf and Veglia, Fabrizio and Ford, Ian and Jukema, J Wouter and Westendorp, Rudi G J and de Borst, Gert Jan and de Jong, Pim A and Algra, Ale and Spiering, Wilko and Maitland-van der Zee, Anke H and Klungel, Olaf H and de Boer, Anthonius and Doevendans, Pieter A and Eaton, Charles B and Robinson, Jennifer G and Duggan, David and Kjekshus, John and Downs, John R and Gotto, Antonio M and Keech, Anthony C and Marchioli, Roberto and Tognoni, Gianni and Sever, Peter S and Poulter, Neil R and Waters, David D and Pedersen, Terje R and Amarenco, Pierre and Nakamura, Haruo and McMurray, John J V and Lewsey, James D and Chasman, Daniel I and Ridker, Paul M and Maggioni, Aldo P and Tavazzi, Luigi and Ray, Kausik K and Seshasai, Sreenivasa Rao Kondapally and Manson, JoAnn E and Price, Jackie F and Whincup, Peter H and Morris, Richard W and Lawlor, Debbie A and Smith, George Davey and Ben-Shlomo, Yoav and Schreiner, Pamela J and Fornage, Myriam and Siscovick, David S and Cushman, Mary and Kumari, Meena and Wareham, Nick J and Verschuren, W M Monique and Redline, Susan and Patel, Sanjay R and Whittaker, John C and Hamsten, Anders and Delaney, Joseph A and Dale, Caroline and Gaunt, Tom R and Wong, Andrew and Kuh, Diana and Hardy, Rebecca and Kathiresan, Sekar and Castillo, Berta A and van der Harst, Pim and Brunner, Eric J and Tybjaerg-Hansen, Anne and Marmot, Michael G and Krauss, Ronald M and Tsai, Michael and Coresh, Josef and Hoogeveen, Ronald C and Psaty, Bruce M and Lange, Leslie A and Hakonarson, Hakon and Dudbridge, Frank and Humphries, Steve E and Talmud, Philippa J and Kivimaki, Mika and Timpson, Nicholas J and Langenberg, Claudia and Asselbergs, Folkert W and Voevoda, Mikhail and Bobak, Martin and Pikhart, Hynek and Wilson, James G and Reiner, Alex P and Keating, Brendan J and Hingorani, Aroon D and Sattar, Naveed} } @article {6860, title = {Integrative pathway genomics of lung function and airflow obstruction.}, journal = {Hum Mol Genet}, volume = {24}, year = {2015}, month = {2015 Dec 1}, pages = {6836-48}, abstract = {

Chronic respiratory disorders are important contributors to the global burden of disease. Genome-wide association studies (GWASs) of lung function measures have identified several trait-associated loci, but explain only a modest portion of the phenotypic variability. We postulated that integrating pathway-based methods with GWASs of pulmonary function and airflow obstruction would identify a broader repertoire of genes and processes influencing these traits. We performed two independent GWASs of lung function and applied gene set enrichment analysis to one of the studies and validated the results using the second GWAS. We identified 131 significantly enriched gene sets associated with lung function and clustered them into larger biological modules involved in diverse processes including development, immunity, cell signaling, proliferation and arachidonic acid. We found that enrichment of gene sets was not driven by GWAS-significant variants or loci, but instead by those with less stringent association P-values. Next, we applied pathway enrichment analysis to a meta-analyzed GWAS of airflow obstruction. We identified several biologic modules that functionally overlapped with those associated with pulmonary function. However, differences were also noted, including enrichment of extracellular matrix (ECM) processes specifically in the airflow obstruction study. Network analysis of the ECM module implicated a candidate gene, matrix metalloproteinase 10 (MMP10), as a putative disease target. We used a knockout mouse model to functionally validate MMP10{\textquoteright}s role in influencing lung{\textquoteright}s susceptibility to cigarette smoke-induced emphysema. By integrating pathway analysis with population-based genomics, we unraveled biologic processes underlying pulmonary function traits and identified a candidate gene for obstructive lung disease.

}, keywords = {Airway Obstruction, Animals, Cell Proliferation, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Immune System, Lung, Male, Metabolic Networks and Pathways, Mice, Phenotype, Polymorphism, Single Nucleotide, Signal Transduction}, issn = {1460-2083}, doi = {10.1093/hmg/ddv378}, author = {Gharib, Sina A and Loth, Daan W and Soler Artigas, Maria and Birkland, Timothy P and Wilk, Jemma B and Wain, Louise V and Brody, Jennifer A and Obeidat, Ma{\textquoteright}en and Hancock, Dana B and Tang, Wenbo and Rawal, Rajesh and Boezen, H Marike and Imboden, Medea and Huffman, Jennifer E and Lahousse, Lies and Alves, Alexessander C and Manichaikul, Ani and Hui, Jennie and Morrison, Alanna C and Ramasamy, Adaikalavan and Smith, Albert Vernon and Gudnason, Vilmundur and Surakka, Ida and Vitart, Veronique and Evans, David M and Strachan, David P and Deary, Ian J and Hofman, Albert and Gl{\"a}ser, Sven and Wilson, James F and North, Kari E and Zhao, Jing Hua and Heckbert, Susan R and Jarvis, Deborah L and Probst-Hensch, Nicole and Schulz, Holger and Barr, R Graham and Jarvelin, Marjo-Riitta and O{\textquoteright}Connor, George T and K{\"a}h{\"o}nen, Mika and Cassano, Patricia A and Hysi, Pirro G and Dupuis, Jos{\'e}e and Hayward, Caroline and Psaty, Bruce M and Hall, Ian P and Parks, William C and Tobin, Martin D and London, Stephanie J} } @article {6686, title = {Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.}, journal = {Nat Commun}, volume = {6}, year = {2015}, month = {2015}, pages = {5897}, abstract = {

Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4\%) with lower FG (β=-0.09{\textpm}0.01 mmol l(-1), P=3.4 {\texttimes} 10(-12)), T2D risk (OR[95\%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07{\textpm}0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16{\textpm}0.05 mmol l(-1), P=4.3 {\texttimes} 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 {\texttimes} 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20\%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02{\textpm}0.004 mmol l(-1), P=1.3 {\texttimes} 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.

}, keywords = {African Continental Ancestry Group, Blood Glucose, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Exome, Fasting, Genetic Association Studies, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Glucagon-Like Peptide-1 Receptor, Glucose-6-Phosphatase, Humans, Insulin, Mutation Rate, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide}, issn = {2041-1723}, doi = {10.1038/ncomms6897}, author = {Wessel, Jennifer and Chu, Audrey Y and Willems, Sara M and Wang, Shuai and Yaghootkar, Hanieh and Brody, Jennifer A and Dauriz, Marco and Hivert, Marie-France and Raghavan, Sridharan and Lipovich, Leonard and Hidalgo, Bertha and Fox, Keolu and Huffman, Jennifer E and An, Ping and Lu, Yingchang and Rasmussen-Torvik, Laura J and Grarup, Niels and Ehm, Margaret G and Li, Li and Baldridge, Abigail S and Stan{\v c}{\'a}kov{\'a}, Alena and Abrol, Ravinder and Besse, C{\'e}line and Boland, Anne and Bork-Jensen, Jette and Fornage, Myriam and Freitag, Daniel F and Garcia, Melissa E and Guo, Xiuqing and Hara, Kazuo and Isaacs, Aaron and Jakobsdottir, Johanna and Lange, Leslie A and Layton, Jill C and Li, Man and Hua Zhao, Jing and Meidtner, Karina and Morrison, Alanna C and Nalls, Mike A and Peters, Marjolein J and Sabater-Lleal, Maria and Schurmann, Claudia and Silveira, Angela and Smith, Albert V and Southam, Lorraine and Stoiber, Marcus H and Strawbridge, Rona J and Taylor, Kent D and Varga, Tibor V and Allin, Kristine H and Amin, Najaf and Aponte, Jennifer L and Aung, Tin and Barbieri, Caterina and Bihlmeyer, Nathan A and Boehnke, Michael and Bombieri, Cristina and Bowden, Donald W and Burns, Sean M and Chen, Yuning and Chen, Yii-DerI and Cheng, Ching-Yu and Correa, Adolfo and Czajkowski, Jacek and Dehghan, Abbas and Ehret, Georg B and Eiriksdottir, Gudny and Escher, Stefan A and Farmaki, Aliki-Eleni and Fr{\r a}nberg, Mattias and Gambaro, Giovanni and Giulianini, Franco and Goddard, William A and Goel, Anuj and Gottesman, Omri and Grove, Megan L and Gustafsson, Stefan and Hai, Yang and Hallmans, G{\"o}ran and Heo, Jiyoung and Hoffmann, Per and Ikram, Mohammad K and Jensen, Richard A and J{\o}rgensen, Marit E and J{\o}rgensen, Torben and Karaleftheri, Maria and Khor, Chiea C and Kirkpatrick, Andrea and Kraja, Aldi T and Kuusisto, Johanna and Lange, Ethan M and Lee, I T and Lee, Wen-Jane and Leong, Aaron and Liao, Jiemin and Liu, Chunyu and Liu, Yongmei and Lindgren, Cecilia M and Linneberg, Allan and Malerba, Giovanni and Mamakou, Vasiliki and Marouli, Eirini and Maruthur, Nisa M and Matchan, Angela and McKean-Cowdin, Roberta and McLeod, Olga and Metcalf, Ginger A and Mohlke, Karen L and Muzny, Donna M and Ntalla, Ioanna and Palmer, Nicholette D and Pasko, Dorota and Peter, Andreas and Rayner, Nigel W and Renstrom, Frida and Rice, Ken and Sala, Cinzia F and Sennblad, Bengt and Serafetinidis, Ioannis and Smith, Jennifer A and Soranzo, Nicole and Speliotes, Elizabeth K and Stahl, Eli A and Stirrups, Kathleen and Tentolouris, Nikos and Thanopoulou, Anastasia and Torres, Mina and Traglia, Michela and Tsafantakis, Emmanouil and Javad, Sundas and Yanek, Lisa R and Zengini, Eleni and Becker, Diane M and Bis, Joshua C and Brown, James B and Cupples, L Adrienne and Hansen, Torben and Ingelsson, Erik and Karter, Andrew J and Lorenzo, Carlos and Mathias, Rasika A and Norris, Jill M and Peloso, Gina M and Sheu, Wayne H-H and Toniolo, Daniela and Vaidya, Dhananjay and Varma, Rohit and Wagenknecht, Lynne E and Boeing, Heiner and Bottinger, Erwin P and Dedoussis, George and Deloukas, Panos and Ferrannini, Ele and Franco, Oscar H and Franks, Paul W and Gibbs, Richard A and Gudnason, Vilmundur and Hamsten, Anders and Harris, Tamara B and Hattersley, Andrew T and Hayward, Caroline and Hofman, Albert and Jansson, Jan-H{\r a}kan and Langenberg, Claudia and Launer, Lenore J and Levy, Daniel and Oostra, Ben A and O{\textquoteright}Donnell, Christopher J and O{\textquoteright}Rahilly, Stephen and Padmanabhan, Sandosh and Pankow, James S and Polasek, Ozren and Province, Michael A and Rich, Stephen S and Ridker, Paul M and Rudan, Igor and Schulze, Matthias B and Smith, Blair H and Uitterlinden, Andr{\'e} G and Walker, Mark and Watkins, Hugh and Wong, Tien Y and Zeggini, Eleftheria and Laakso, Markku and Borecki, Ingrid B and Chasman, Daniel I and Pedersen, Oluf and Psaty, Bruce M and Tai, E Shyong and van Duijn, Cornelia M and Wareham, Nicholas J and Waterworth, Dawn M and Boerwinkle, Eric and Kao, W H Linda and Florez, Jose C and Loos, Ruth J F and Wilson, James G and Frayling, Timothy M and Siscovick, David S and Dupuis, Jos{\'e}e and Rotter, Jerome I and Meigs, James B and Scott, Robert A and Goodarzi, Mark O} } @article {6797, title = {A Meta-analysis of the Association of Estimated GFR, Albuminuria, Age, Race, and Sex With Acute Kidney Injury.}, journal = {Am J Kidney Dis}, volume = {66}, year = {2015}, month = {2015 Oct}, pages = {591-601}, abstract = {

BACKGROUND: Acute kidney injury (AKI) is a serious global public health problem. We aimed to quantify the risk of AKI associated with estimated glomerular filtration rate (eGFR), albuminuria (albumin-creatinine ratio [ACR]), age, sex, and race (African American and white).

STUDY DESIGN: Collaborative meta-analysis.

SETTING \& POPULATION: 8 general-population cohorts (1,285,049 participants) and 5 chronic kidney disease (CKD) cohorts (79,519 participants).

SELECTION CRITERIA FOR STUDIES: Available eGFR, ACR, and 50 or more AKI events.

PREDICTORS: Age, sex, race, eGFR, urine ACR, and interactions.

OUTCOME: Hospitalized with or for AKI, using Cox proportional hazards models to estimate HRs of AKI and random-effects meta-analysis to pool results.

RESULTS: 16,480 (1.3\%) general-population cohort participants had AKI over a mean follow-up of 4 years; 2,087 (2.6\%) CKD participants had AKI over a mean follow-up of 1 year. Lower eGFR and higher ACR were strongly associated with AKI. Compared with eGFR of 80mL/min/1.73m(2), the adjusted HR of AKI at eGFR of 45mL/min/1.73m(2) was 3.35 (95\% CI, 2.75-4.07). Compared with ACR of 5mg/g, the risk of AKI at ACR of 300mg/g was 2.73 (95\% CI, 2.18-3.43). Older age was associated with higher risk of AKI, but this effect was attenuated with lower eGFR or higher ACR. Male sex was associated with higher risk of AKI, with a slight attenuation in lower eGFR but not in higher ACR. African Americans had higher AKI risk at higher levels of eGFR and most levels of ACR.

LIMITATIONS: Only 2 general-population cohorts could contribute to analyses by race; AKI identified by diagnostic code.

CONCLUSIONS: Reduced eGFR and increased ACR are consistent strong risk factors for AKI, whereas associations of AKI with age, sex, and race may be weaker in more advanced stages of CKD.

}, keywords = {Acute Kidney Injury, Adolescent, Adult, African Americans, Age Distribution, Aged, Albuminuria, Continental Population Groups, European Continental Ancestry Group, Female, Glomerular Filtration Rate, Humans, Incidence, Male, Middle Aged, Predictive Value of Tests, Prognosis, Severity of Illness Index, Sex Distribution, Young Adult}, issn = {1523-6838}, doi = {10.1053/j.ajkd.2015.02.337}, author = {Grams, Morgan E and Sang, Yingying and Ballew, Shoshana H and Gansevoort, Ron T and Kimm, Heejin and Kovesdy, Csaba P and Naimark, David and Oien, Cecilia and Smith, David H and Coresh, Josef and Sarnak, Mark J and Stengel, B{\'e}n{\'e}dicte and Tonelli, Marcello} } @article {6852, title = {Microvascular and Macrovascular Abnormalities and Cognitive and Physical Function in Older Adults: Cardiovascular Health Study.}, journal = {J Am Geriatr Soc}, volume = {63}, year = {2015}, month = {2015 Sep}, pages = {1886-93}, abstract = {

OBJECTIVES: To evaluate and compare the associations between microvascular and macrovascular abnormalities and cognitive and physical function

DESIGN: Cross-sectional analysis of the Cardiovascular Health Study (1998-1999).

SETTING: Community.

PARTICIPANTS: Individuals with available data on three or more of five microvascular abnormalities (brain, retina, kidney) and three or more of six macrovascular abnormalities (brain, carotid artery, heart, peripheral artery) (N = 2,452; mean age 79.5).

MEASUREMENTS: Standardized composite scores derived from three cognitive tests (Modified Mini-Mental State Examination, Digit-Symbol Substitution Test, Trail-Making Test (TMT)) and three physical tests (gait speed, grip strength, 5-time sit to stand)

RESULTS: Participants with high microvascular and macrovascular burden had worse cognitive (mean score difference = -0.30, 95\% confidence interval (CI) = -0.37 to -0.24) and physical (mean score difference = -0.32, 95\% CI = -0.38 to -0.26) function than those with low microvascular and macrovascular burden. Individuals with high microvascular burden alone had similarly lower scores than those with high macrovascular burden alone (cognitive function: -0.16, 95\% CI = -0.24 to -0.08 vs -0.13, 95\% CI = -0.20 to -0.06; physical function: -0.15, 95\% CI = -0.22 to -0.08 vs -0.12, 95\% CI = -0.18 to -0.06). Psychomotor speed and working memory, assessed using the TMT, were only impaired in the presence of high microvascular burden. Of the 11 vascular abnormalities considered, white matter hyperintensity, cystatin C-based glomerular filtration rate, large brain infarct, and ankle-arm index were independently associated with cognitive and physical function.

CONCLUSION: Microvascular and macrovascular abnormalities assessed using noninvasive tests of the brain, kidney, and peripheral artery were independently associated with poor cognitive and physical function in older adults. Future research should evaluate the usefulness of these tests in prognostication.

}, keywords = {Aged, Aged, 80 and over, Cognition, Cross-Sectional Studies, Female, Humans, Male, Neuropsychological Tests, Vascular Malformations}, issn = {1532-5415}, doi = {10.1111/jgs.13594}, author = {Kim, Dae Hyun and Grodstein, Francine and Newman, Anne B and Chaves, Paulo H M and Odden, Michelle C and Klein, Ronald and Sarnak, Mark J and Lipsitz, Lewis A} } @article {6683, title = {Multiethnic genome-wide association study of cerebral white matter hyperintensities on MRI.}, journal = {Circ Cardiovasc Genet}, volume = {8}, year = {2015}, month = {2015 Apr}, pages = {398-409}, abstract = {

BACKGROUND: The burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies.

METHODS AND RESULTS: We included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7{\texttimes}10(-19)) and identified novel loci on chr10q24 (P=1.6{\texttimes}10(-9)) and chr2p21 (P=4.4{\texttimes}10(-8)). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0{\texttimes}10(-8)) and chr2p16 (P=1.5{\texttimes}10(-8)). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16).

CONCLUSIONS: We identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.

}, keywords = {Aged, Aged, 80 and over, Chromosomes, Human, Continental Population Groups, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Middle Aged, Models, Genetic, Stroke, White Matter}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.114.000858}, author = {Verhaaren, Benjamin F J and Debette, Stephanie and Bis, Joshua C and Smith, Jennifer A and Ikram, M Kamran and Adams, Hieab H and Beecham, Ashley H and Rajan, Kumar B and Lopez, Lorna M and Barral, Sandra and van Buchem, Mark A and van der Grond, Jeroen and Smith, Albert V and Hegenscheid, Katrin and Aggarwal, Neelum T and de Andrade, Mariza and Atkinson, Elizabeth J and Beekman, Marian and Beiser, Alexa S and Blanton, Susan H and Boerwinkle, Eric and Brickman, Adam M and Bryan, R Nick and Chauhan, Ganesh and Chen, Christopher P L H and Chouraki, Vincent and de Craen, Anton J M and Crivello, Fabrice and Deary, Ian J and Deelen, Joris and De Jager, Philip L and Dufouil, Carole and Elkind, Mitchell S V and Evans, Denis A and Freudenberger, Paul and Gottesman, Rebecca F and Gu{\dh}nason, Vilmundur and Habes, Mohamad and Heckbert, Susan R and Heiss, Gerardo and Hilal, Saima and Hofer, Edith and Hofman, Albert and Ibrahim-Verbaas, Carla A and Knopman, David S and Lewis, Cora E and Liao, Jiemin and Liewald, David C M and Luciano, Michelle and van der Lugt, Aad and Martinez, Oliver O and Mayeux, Richard and Mazoyer, Bernard and Nalls, Mike and Nauck, Matthias and Niessen, Wiro J and Oostra, Ben A and Psaty, Bruce M and Rice, Kenneth M and Rotter, Jerome I and von Sarnowski, Bettina and Schmidt, Helena and Schreiner, Pamela J and Schuur, Maaike and Sidney, Stephen S and Sigurdsson, Sigurdur and Slagboom, P Eline and Stott, David J M and van Swieten, John C and Teumer, Alexander and T{\"o}glhofer, Anna Maria and Traylor, Matthew and Trompet, Stella and Turner, Stephen T and Tzourio, Christophe and Uh, Hae-Won and Uitterlinden, Andr{\'e} G and Vernooij, Meike W and Wang, Jing J and Wong, Tien Y and Wardlaw, Joanna M and Windham, B Gwen and Wittfeld, Katharina and Wolf, Christiane and Wright, Clinton B and Yang, Qiong and Zhao, Wei and Zijdenbos, Alex and Jukema, J Wouter and Sacco, Ralph L and Kardia, Sharon L R and Amouyel, Philippe and Mosley, Thomas H and Longstreth, W T and DeCarli, Charles C and van Duijn, Cornelia M and Schmidt, Reinhold and Launer, Lenore J and Grabe, Hans J and Seshadri, Sudha S and Ikram, M Arfan and Fornage, Myriam} } @article {6566, title = {Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association Study.}, journal = {Mol Psychiatry}, volume = {20}, year = {2015}, month = {2015 Oct}, pages = {1232-9}, abstract = {

Usual sleep duration is a heritable trait correlated with psychiatric morbidity, cardiometabolic disease and mortality, although little is known about the genetic variants influencing this trait. A genome-wide association study (GWAS) of usual sleep duration was conducted using 18 population-based cohorts totaling 47 180 individuals of European ancestry. Genome-wide significant association was identified at two loci. The strongest is located on chromosome 2, in an intergenic region 35- to 80-kb upstream from the thyroid-specific transcription factor PAX8 (lowest P=1.1 {\texttimes} 10(-9)). This finding was replicated in an African-American sample of 4771 individuals (lowest P=9.3 {\texttimes} 10(-4)). The strongest combined association was at rs1823125 (P=1.5 {\texttimes} 10(-10), minor allele frequency 0.26 in the discovery sample, 0.12 in the replication sample), with each copy of the minor allele associated with a sleep duration 3.1 min longer per night. The alleles associated with longer sleep duration were associated in previous GWAS with a more favorable metabolic profile and a lower risk of attention deficit hyperactivity disorder. Understanding the mechanisms underlying these associations may help elucidate biological mechanisms influencing sleep duration and its association with psychiatric, metabolic and cardiovascular disease.

}, keywords = {Adult, African Americans, Aged, Dyssomnias, European Continental Ancestry Group, Female, Genetic Association Studies, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Self Report, Sleep}, issn = {1476-5578}, doi = {10.1038/mp.2014.133}, author = {Gottlieb, D J and Hek, K and Chen, T-H and Watson, N F and Eiriksdottir, G and Byrne, E M and Cornelis, M and Warby, S C and Bandinelli, S and Cherkas, L and Evans, D S and Grabe, H J and Lahti, J and Li, M and Lehtim{\"a}ki, T and Lumley, T and Marciante, K D and P{\'e}russe, L and Psaty, B M and Robbins, J and Tranah, G J and Vink, J M and Wilk, J B and Stafford, J M and Bellis, C and Biffar, R and Bouchard, C and Cade, B and Curhan, G C and Eriksson, J G and Ewert, R and Ferrucci, L and F{\"u}l{\"o}p, T and Gehrman, P R and Goodloe, R and Harris, T B and Heath, A C and Hernandez, D and Hofman, A and Hottenga, J-J and Hunter, D J and Jensen, M K and Johnson, A D and K{\"a}h{\"o}nen, M and Kao, L and Kraft, P and Larkin, E K and Lauderdale, D S and Luik, A I and Medici, M and Montgomery, G W and Palotie, A and Patel, S R and Pistis, G and Porcu, E and Quaye, L and Raitakari, O and Redline, S and Rimm, E B and Rotter, J I and Smith, A V and Spector, T D and Teumer, A and Uitterlinden, A G and Vohl, M-C and Widen, E and Willemsen, G and Young, T and Zhang, X and Liu, Y and Blangero, J and Boomsma, D I and Gudnason, V and Hu, F and Mangino, M and Martin, N G and O{\textquoteright}Connor, G T and Stone, K L and Tanaka, T and Viikari, J and Gharib, S A and Punjabi, N M and R{\"a}ikk{\"o}nen, K and V{\"o}lzke, H and Mignot, E and Tiemeier, H} } @article {7648, title = {Predicting Future Years of Life, Health, and Functional Ability: A Healthy Life Calculator for Older Adults.}, journal = {Gerontol Geriatr Med}, volume = {1}, year = {2015}, month = {2015 Jan-Dec}, pages = {2333721415605989}, abstract = {

To create personalized estimates of future health and ability status for older adults.Data came from the Cardiovascular Health Study (CHS), a large longitudinal study. Outcomes included years of life, years of healthy life (based on self-rated health), years of able life (based on activities of daily living), and years of healthy and able life. We developed regression estimates using the demographic and health characteristics that best predicted the four outcomes. Internal and external validity were assessed.A prediction equation based on 11 variables accounted for about 40\% of the variability for each outcome. Internal validity was excellent, and external validity was satisfactory. The resulting CHS Healthy Life Calculator (CHSHLC) is available at http://healthylifecalculator.org.CHSHLC provides a well-documented estimate of future years of healthy and able life for older adults, who may use it in planning for the future.

}, issn = {2333-7214}, doi = {10.1177/2333721415605989}, author = {Diehr, Paula and Diehr, Michael and Arnold, Alice and Yee, Laura M and Odden, Michelle C and Hirsch, Calvin H and Thielke, Stephen and Psaty, Bruce M and Johnson, W Craig and Kizer Md, Jorge R and Newman, Anne} } @article {6876, title = {Race/Ethnic Differences in the Associations of the Framingham Risk Factors with Carotid IMT and Cardiovascular Events.}, journal = {PLoS One}, volume = {10}, year = {2015}, month = {2015}, pages = {e0132321}, abstract = {

BACKGROUND: Clinical manifestations and outcomes of atherosclerotic disease differ between ethnic groups. In addition, the prevalence of risk factors is substantially different. Primary prevention programs are based on data derived from almost exclusively White people. We investigated how race/ethnic differences modify the associations of established risk factors with atherosclerosis and cardiovascular events.

METHODS: We used data from an ongoing individual participant meta-analysis involving 17 population-based cohorts worldwide. We selected 60,211 participants without cardiovascular disease at baseline with available data on ethnicity (White, Black, Asian or Hispanic). We generated a multivariable linear regression model containing risk factors and ethnicity predicting mean common carotid intima-media thickness (CIMT) and a multivariable Cox regression model predicting myocardial infarction or stroke. For each risk factor we assessed how the association with the preclinical and clinical measures of cardiovascular atherosclerotic disease was affected by ethnicity.

RESULTS: Ethnicity appeared to significantly modify the associations between risk factors and CIMT and cardiovascular events. The association between age and CIMT was weaker in Blacks and Hispanics. Systolic blood pressure associated more strongly with CIMT in Asians. HDL cholesterol and smoking associated less with CIMT in Blacks. Furthermore, the association of age and total cholesterol levels with the occurrence of cardiovascular events differed between Blacks and Whites.

CONCLUSION: The magnitude of associations between risk factors and the presence of atherosclerotic disease differs between race/ethnic groups. These subtle, yet significant differences provide insight in the etiology of cardiovascular disease among race/ethnic groups. These insights aid the race/ethnic-specific implementation of primary prevention.

}, keywords = {Adult, Age Distribution, Aged, Carotid Artery Diseases, Carotid Intima-Media Thickness, Cholesterol, HDL, Cholesterol, LDL, Comorbidity, Continental Population Groups, Diabetes Mellitus, Dyslipidemias, Ethnic Groups, Female, Follow-Up Studies, Global Health, Humans, Hypertension, Incidence, Linear Models, Male, Middle Aged, Myocardial Infarction, Prevalence, Proportional Hazards Models, Risk Factors, Smoking, Stroke}, issn = {1932-6203}, doi = {10.1371/journal.pone.0132321}, author = {Gijsberts, Crystel M and Groenewegen, Karlijn A and Hoefer, Imo E and Eijkemans, Marinus J C and Asselbergs, Folkert W and Anderson, Todd J and Britton, Annie R and Dekker, Jacqueline M and Engstr{\"o}m, Gunnar and Evans, Greg W and de Graaf, Jacqueline and Grobbee, Diederick E and Hedblad, Bo and Holewijn, Suzanne and Ikeda, Ai and Kitagawa, Kazuo and Kitamura, Akihiko and de Kleijn, Dominique P V and Lonn, Eva M and Lorenz, Matthias W and Mathiesen, Ellisiv B and Nijpels, Giel and Okazaki, Shuhei and O{\textquoteright}Leary, Daniel H and Pasterkamp, Gerard and Peters, Sanne A E and Polak, Joseph F and Price, Jacqueline F and Robertson, Christine and Rembold, Christopher M and Rosvall, Maria and Rundek, Tatjana and Salonen, Jukka T and Sitzer, Matthias and Stehouwer, Coen D A and Bots, Michiel L and den Ruijter, Hester M} } @article {6788, title = {Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF.}, journal = {Blood}, volume = {126}, year = {2015}, month = {2015 Sep 10}, pages = {e19-29}, abstract = {

Fibrinogen, coagulation factor VII (FVII), and factor VIII (FVIII) and its carrier von Willebrand factor (vWF) play key roles in hemostasis. Previously identified common variants explain only a small fraction of the trait heritabilities, and additional variations may be explained by associations with rarer variants with larger effects. The aim of this study was to identify low-frequency (minor allele frequency [MAF] >=0.01 and <0.05) and rare (MAF <0.01) variants that influence plasma concentrations of these 4 hemostatic factors by meta-analyzing exome chip data from up to 76,000 participants of 4 ancestries. We identified 12 novel associations of low-frequency (n = 2) and rare (n = 10) variants across the fibrinogen, FVII, FVIII, and vWF traits that were independent of previously identified associations. Novel loci were found within previously reported genes and had effect sizes much larger than and independent of previously identified common variants. In addition, associations at KCNT1, HID1, and KATNB1 identified new candidate genes related to hemostasis for follow-up replication and functional genomic analysis. Newly identified low-frequency and rare-variant associations accounted for modest amounts of trait variance and therefore are unlikely to increase predicted trait heritability but provide new information for understanding individual variation in hemostasis pathways.

}, keywords = {Cohort Studies, Factor VII, Factor VIII, Fibrinogen, Gene Frequency, Genetic Association Studies, Genetic Variation, Humans, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Potassium Channels, von Willebrand Factor}, issn = {1528-0020}, doi = {10.1182/blood-2015-02-624551}, author = {Huffman, Jennifer E and de Vries, Paul S and Morrison, Alanna C and Sabater-Lleal, Maria and Kacprowski, Tim and Auer, Paul L and Brody, Jennifer A and Chasman, Daniel I and Chen, Ming-Huei and Guo, Xiuqing and Lin, Li-An and Marioni, Riccardo E and M{\"u}ller-Nurasyid, Martina and Yanek, Lisa R and Pankratz, Nathan and Grove, Megan L and de Maat, Moniek P M and Cushman, Mary and Wiggins, Kerri L and Qi, Lihong and Sennblad, Bengt and Harris, Sarah E and Polasek, Ozren and Riess, Helene and Rivadeneira, Fernando and Rose, Lynda M and Goel, Anuj and Taylor, Kent D and Teumer, Alexander and Uitterlinden, Andr{\'e} G and Vaidya, Dhananjay and Yao, Jie and Tang, Weihong and Levy, Daniel and Waldenberger, Melanie and Becker, Diane M and Folsom, Aaron R and Giulianini, Franco and Greinacher, Andreas and Hofman, Albert and Huang, Chiang-Ching and Kooperberg, Charles and Silveira, Angela and Starr, John M and Strauch, Konstantin and Strawbridge, Rona J and Wright, Alan F and McKnight, Barbara and Franco, Oscar H and Zakai, Neil and Mathias, Rasika A and Psaty, Bruce M and Ridker, Paul M and Tofler, Geoffrey H and V{\"o}lker, Uwe and Watkins, Hugh and Fornage, Myriam and Hamsten, Anders and Deary, Ian J and Boerwinkle, Eric and Koenig, Wolfgang and Rotter, Jerome I and Hayward, Caroline and Dehghan, Abbas and Reiner, Alex P and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L} } @article {6707, title = {Years of able life in older persons--the role of cardiovascular imaging and biomarkers: the Cardiovascular Health Study.}, journal = {J Am Heart Assoc}, volume = {4}, year = {2015}, month = {2015 Apr}, abstract = {

BACKGROUND: As the U.S. population grows older, there is greater need to examine physical independence. Previous studies have assessed risk factors in relation to either disability or mortality, but an outcome that combines both is still needed.

METHODS AND RESULTS: The Cardiovascular Health Study is a population-based, prospective study where participants underwent baseline echocardiogram, measurement of carotid intima-media thickness (IMT), and various biomarkers, then followed for up to 18 years. Years of able life (YAL) constituted the number of years the participant was able to perform all activities of daily living. Linear regression was used to model the relationship between selected measures and outcomes, adjusted for confounding variables. Among 4902 participants, mean age was 72.6 {\textpm} 5.4 years, median YAL for males was 8.8 (interquartile range [IQR], 4.3 to 13.8) and 10.3 (IQR, 5.8 to 15.8) for females. Reductions in YAL in the fully adjusted model for females and males, respectively, were: -1.34 (95\% confidence interval [CI], -2.18, -0.49) and -1.41 (95\% CI, -2.03, -0.8) for abnormal left ventricular (LV) ejection fraction, -0.5 (95\% CI, -0.78, -0.22) and -0.62 (95\% CI, -0.87, -0.36) per SD increase in LV mass, -0.5 (95\% CI, -0.7, -0.29) and -0.79 (95\% CI, -0.99, -0.58) for IMT, -0.5 (95\% CI, -0.64, -0.37) and -0.79 (95\% CI, -0.94, -0.65) for N-terminal pro-brain natriuretic peptide, -1.08 (95\% CI, -1.34, -0.83) and -0.73 (95\% CI, -0.97, -0.5) for high-sensitivity troponin-T, and -0.26 (95\% CI, -0.42, -0.09) and -0.23 (95\% CI, -0.41, -0.05) for procollagen-III N-terminal propeptide. Most tested variables remained significant even after adjusting for incident cardiovascular (CV) disease.

CONCLUSIONS: In this population-based cohort, variables obtained by CV imaging and biomarkers of inflammation, coagulation, atherosclerosis, myocardial injury and stress, and cardiac collagen turnover were associated with YAL, an important outcome that integrates physical ability and longevity in older persons.

}, keywords = {Activities of Daily Living, Aged, Biomarkers, Cardiovascular Diseases, Carotid Intima-Media Thickness, Echocardiography, Female, Humans, Independent Living, Male, Natriuretic Peptide, Brain, Peptide Fragments, Procollagen, Prospective Studies, Stroke Volume, Troponin I}, issn = {2047-9980}, doi = {10.1161/JAHA.114.001745}, author = {Alshawabkeh, Laith I and Yee, Laura M and Gardin, Julius M and Gottdiener, John S and Odden, Michelle C and Bartz, Traci M and Arnold, Alice M and Mukamal, Kenneth J and Wallace, Robert B} } @article {7262, title = {52 Genetic Loci Influencing Myocardial~Mass.}, journal = {J Am Coll Cardiol}, volume = {68}, year = {2016}, month = {2016 Sep 27}, pages = {1435-48}, abstract = {

BACKGROUND: Myocardial mass is a key determinant of cardiac muscle function and hypertrophy. Myocardial depolarization leading to cardiac muscle contraction is reflected by the amplitude and duration of the QRS complex on the electrocardiogram (ECG). Abnormal QRS amplitude or duration reflect changes in myocardial mass and conduction, and are associated with increased risk of heart failure and death.

OBJECTIVES: This meta-analysis sought to gain insights into the genetic determinants of myocardial mass.

METHODS: We carried out a genome-wide association meta-analysis of 4 QRS traits in up to 73,518 individuals of European ancestry, followed by extensive biological and functional assessment.

RESULTS: We identified 52 genomic loci, of which 32 are novel, that are reliably associated with 1 or more QRS phenotypes at p~< 1~{\texttimes} 10(-8). These loci are enriched in regions of open chromatin, histone modifications, and transcription factor binding, suggesting that they represent regions of the genome that are actively transcribed in the human heart. Pathway analyses provided evidence that these loci play a role in cardiac hypertrophy. We further highlighted 67~candidate genes at the identified loci that are preferentially expressed in cardiac tissue and associated with cardiac abnormalities in Drosophila melanogaster and Mus musculus. We validated the regulatory function of a novel variant in the SCN5A/SCN10A locus in~vitro and in~vivo.

CONCLUSIONS: Taken together, our findings provide new insights into genes and biological pathways controlling myocardial mass and may help identify novel therapeutic targets.

}, issn = {1558-3597}, doi = {10.1016/j.jacc.2016.07.729}, author = {van der Harst, Pim and van Setten, Jessica and Verweij, Niek and Vogler, Georg and Franke, Lude and Maurano, Matthew T and Wang, Xinchen and Mateo Leach, Irene and Eijgelsheim, Mark and Sotoodehnia, Nona and Hayward, Caroline and Sorice, Rossella and Meirelles, Osorio and Lyytik{\"a}inen, Leo-Pekka and Polasek, Ozren and Tanaka, Toshiko and Arking, Dan E and Ulivi, Sheila and Trompet, Stella and M{\"u}ller-Nurasyid, Martina and Smith, Albert V and D{\"o}rr, Marcus and Kerr, Kathleen F and Magnani, Jared W and del Greco M, Fabiola and Zhang, Weihua and Nolte, Ilja M and Silva, Claudia T and Padmanabhan, Sandosh and Tragante, Vinicius and Esko, T{\~o}nu and Abecasis, Goncalo R and Adriaens, Michiel E and Andersen, Karl and Barnett, Phil and Bis, Joshua C and Bodmer, Rolf and Buckley, Brendan M and Campbell, Harry and Cannon, Megan V and Chakravarti, Aravinda and Chen, Lin Y and Delitala, Alessandro and Devereux, Richard B and Doevendans, Pieter A and Dominiczak, Anna F and Ferrucci, Luigi and Ford, Ian and Gieger, Christian and Harris, Tamara B and Haugen, Eric and Heinig, Matthias and Hernandez, Dena G and Hillege, Hans L and Hirschhorn, Joel N and Hofman, Albert and Hubner, Norbert and Hwang, Shih-Jen and Iorio, Annamaria and K{\"a}h{\"o}nen, Mika and Kellis, Manolis and Kolcic, Ivana and Kooner, Ishminder K and Kooner, Jaspal S and Kors, Jan A and Lakatta, Edward G and Lage, Kasper and Launer, Lenore J and Levy, Daniel and Lundby, Alicia and Macfarlane, Peter W and May, Dalit and Meitinger, Thomas and Metspalu, Andres and Nappo, Stefania and Naitza, Silvia and Neph, Shane and Nord, Alex S and Nutile, Teresa and Okin, Peter M and Olsen, Jesper V and Oostra, Ben A and Penninger, Josef M and Pennacchio, Len A and Pers, Tune H and Perz, Siegfried and Peters, Annette and Pinto, Yigal M and Pfeufer, Arne and Pilia, Maria Grazia and Pramstaller, Peter P and Prins, Bram P and Raitakari, Olli T and Raychaudhuri, Soumya and Rice, Ken M and Rossin, Elizabeth J and Rotter, Jerome I and Schafer, Sebastian and Schlessinger, David and Schmidt, Carsten O and Sehmi, Jobanpreet and Sillj{\'e}, Herman H W and Sinagra, Gianfranco and Sinner, Moritz F and Slowikowski, Kamil and Soliman, Elsayed Z and Spector, Timothy D and Spiering, Wilko and Stamatoyannopoulos, John A and Stolk, Ronald P and Strauch, Konstantin and Tan, Sian-Tsung and Tarasov, Kirill V and Trinh, Bosco and Uitterlinden, Andr{\'e} G and van den Boogaard, Malou and van Duijn, Cornelia M and van Gilst, Wiek H and Viikari, Jorma S and Visscher, Peter M and Vitart, Veronique and V{\"o}lker, Uwe and Waldenberger, Melanie and Weichenberger, Christian X and Westra, Harm-Jan and Wijmenga, Cisca and Wolffenbuttel, Bruce H and Yang, Jian and Bezzina, Connie R and Munroe, Patricia B and Snieder, Harold and Wright, Alan F and Rudan, Igor and Boyer, Laurie A and Asselbergs, Folkert W and van Veldhuisen, Dirk J and Stricker, Bruno H and Psaty, Bruce M and Ciullo, Marina and Sanna, Serena and Lehtim{\"a}ki, Terho and Wilson, James F and Bandinelli, Stefania and Alonso, Alvaro and Gasparini, Paolo and Jukema, J Wouter and K{\"a}{\"a}b, Stefan and Gudnason, Vilmundur and Felix, Stephan B and Heckbert, Susan R and de Boer, Rudolf A and Newton-Cheh, Christopher and Hicks, Andrew A and Chambers, John C and Jamshidi, Yalda and Visel, Axel and Christoffels, Vincent M and Isaacs, Aaron and Samani, Nilesh J and de Bakker, Paul I W} } @article {7120, title = {Association of inflammatory, lipid and mineral markers with cardiac calcification in older adults.}, journal = {Heart}, year = {2016}, month = {2016 Jul 13}, abstract = {

OBJECTIVE: Calcification of the aortic valve and adjacent structures involves inflammatory, lipid and mineral metabolism pathways. We hypothesised that circulating biomarkers reflecting these pathways are associated with cardiac calcification in older adults.

METHODS: We investigated the associations of various biomarkers with valvular and annular calcification in the Cardiovascular Health Study. Of the 5888 participants, up to 3585 were eligible after exclusions for missing biomarker, covariate or echocardiographic data. We evaluated analytes reflecting lipid (lipoprotein (Lp) (a), Lp-associated phospholipase A2 (LpPLA2) mass and activity), inflammatory (interleukin-6, soluble (s) CD14) and mineral metabolism (fetuin-A, fibroblast growth factor (FGF)-23) pathways that were measured within 5 years of echocardiography. The relationships of plasma biomarkers with aortic valve calcification (AVC), aortic annular calcification (AAC) and mitral annular calcification (MAC) were assessed with relative risk (RR) regression.

RESULTS: Calcification was prevalent: AVC 59\%, AAC 45\% and MAC 41\%. After adjustment, Lp(a), LpPLA2 mass and activity and sCD14 were positively associated with AVC. RRs for AVC per SD (95\% CI) were as follows: Lp(a), 1.051 (1.022 to 1.081); LpPLA2 mass, 1.036 (1.006 to 1.066) and LpPLA2 activity, 1.037 (1.004 to 1.071); sCD14, 1.039 (1.005 to 1.073). FGF-23 was positively associated with MAC, 1.040 (1.004 to 1.078) and fetuin-A was negatively associated, 0.949 (0.911 to 0.989). No biomarkers were significantly associated with AAC.

CONCLUSION: This study shows novel associations of circulating FGF-23 and fetuin-A with MAC, and LpPLA2 and sCD14 with AVC, confirming that previously reported for Lp(a). Further investigation of Lp and inflammatory pathways may provide added insight into the aetiology of AVC, while study of phosphate regulation may illuminate the pathogenesis of MAC.

}, issn = {1468-201X}, doi = {10.1136/heartjnl-2016-309404}, author = {Bortnick, Anna E and Bartz, Traci M and Ix, Joachim H and Chonchol, Michel and Reiner, Alexander and Cushman, Mary and Owens, David and Barasch, Eddy and Siscovick, David S and Gottdiener, John S and Kizer, Jorge R} } @article {7252, title = {Body size measures, hemostatic and inflammatory markers and risk of venous thrombosis: The Longitudinal Investigation of Thromboembolism Etiology.}, journal = {Thromb Res}, volume = {144}, year = {2016}, month = {2016 Aug}, pages = {127-32}, abstract = {

OBJECTIVE: Obesity is an important venous thrombosis (VT) risk factor but the reasons for this are unclear.

MATERIALS AND METHODS: In a cohort of 20,914 individuals aged 45 and older without prior VT, we calculated the relative risk (RR) of VT over 12.6years follow-up according to baseline body size measures, and studied whether associations were mediated by biomarkers of hemostasis and inflammation that are related to adiposity.

RESULTS: Greater levels of all body size measures (weight, height, waist, hip circumference, calf circumference, body-mass index, waist-hip ratio, fat mass and fat-free mass) were associated with increased risk of VT, with 4th versus 1st quartile RRs of 1.5-3.0. There were no multiplicative interactions of biomarkers with obesity status. Adjustment for biomarkers associated with VT risk and body size (factors VII and VIII, von Willebrand factor, partial thromboplastin time, D-dimer, C-reactive protein and factor XI) only marginally lowered, or did not impact, the RRs associated with body size measures.

CONCLUSIONS: Greater body size, by multiple measures, is a risk factor for VT. Associations were not mediated by circulating levels of studied biomarkers suggesting that body size relates to VT because of physical factors associated with blood flow, not the hypercoagulability or inflammation associated with adiposity.

}, issn = {1879-2472}, doi = {10.1016/j.thromres.2016.06.012}, author = {Cushman, Mary and O{\textquoteright}Meara, Ellen S and Heckbert, Susan R and Zakai, Neil A and Rosamond, Wayne and Folsom, Aaron R} } @article {7144, title = {Discovery of Genetic Variation on Chromosome 5q22 Associated with Mortality in Heart Failure.}, journal = {PLoS Genet}, volume = {12}, year = {2016}, month = {2016 May}, pages = {e1006034}, abstract = {

Failure of the human heart to maintain sufficient output of blood for the demands of the body, heart failure, is a common condition with high mortality even with modern therapeutic alternatives. To identify molecular determinants of mortality in patients with new-onset heart failure, we performed a meta-analysis of genome-wide association studies and follow-up genotyping in independent populations. We identified and replicated an association for a genetic variant on chromosome 5q22 with 36\% increased risk of death in subjects with heart failure (rs9885413, P = 2.7x10-9). We provide evidence from reporter gene assays, computational predictions and epigenomic marks that this polymorphism increases activity of an enhancer region active in multiple human tissues. The polymorphism was further reproducibly associated with a DNA methylation signature in whole blood (P = 4.5x10-40) that also associated with allergic sensitization and expression in blood of the cytokine TSLP (P = 1.1x10-4). Knockdown of the transcription factor predicted to bind the enhancer region (NHLH1) in a human cell line (HEK293) expressing NHLH1 resulted in lower TSLP expression. In addition, we observed evidence of recent positive selection acting on the risk allele in populations of African descent. Our findings provide novel genetic leads to factors that influence mortality in patients with heart failure.

}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006034}, author = {Smith, J Gustav and Felix, Janine F and Morrison, Alanna C and Kalogeropoulos, Andreas and Trompet, Stella and Wilk, Jemma B and Gidl{\"o}f, Olof and Wang, Xinchen and Morley, Michael and Mendelson, Michael and Joehanes, Roby and Ligthart, Symen and Shan, Xiaoyin and Bis, Joshua C and Wang, Ying A and Sj{\"o}gren, Marketa and Ngwa, Julius and Brandimarto, Jeffrey and Stott, David J and Aguilar, David and Rice, Kenneth M and Sesso, Howard D and Demissie, Serkalem and Buckley, Brendan M and Taylor, Kent D and Ford, Ian and Yao, Chen and Liu, Chunyu and Sotoodehnia, Nona and van der Harst, Pim and Stricker, Bruno H Ch and Kritchevsky, Stephen B and Liu, Yongmei and Gaziano, J Michael and Hofman, Albert and Moravec, Christine S and Uitterlinden, Andr{\'e} G and Kellis, Manolis and van Meurs, Joyce B and Margulies, Kenneth B and Dehghan, Abbas and Levy, Daniel and Olde, Bj{\"o}rn and Psaty, Bruce M and Cupples, L Adrienne and Jukema, J Wouter and Djouss{\'e}, Luc and Franco, Oscar H and Boerwinkle, Eric and Boyer, Laurie A and Newton-Cheh, Christopher and Butler, Javed and Vasan, Ramachandran S and Cappola, Thomas P and Smith, Nicholas L} } @article {7375, title = {A DNA methylation biomarker of alcohol consumption.}, journal = {Mol Psychiatry}, year = {2016}, month = {2016 Nov 15}, abstract = {

The lack of reliable measures of alcohol intake is a major obstacle to the diagnosis and treatment of alcohol-related diseases. Epigenetic modifications such as DNA methylation may provide novel biomarkers of alcohol use. To examine this possibility, we performed an epigenome-wide association study of methylation of cytosine-phosphate-guanine dinucleotide (CpG) sites in relation to alcohol intake in 13 population-based cohorts (ntotal=13 317; 54\% women; mean age across cohorts 42-76 years) using whole blood (9643 European and 2423 African ancestries) or monocyte-derived DNA (588 European, 263 African and 400 Hispanic ancestry) samples. We performed meta-analysis and variable selection in whole-blood samples of people of European ancestry (n=6926) and identified 144 CpGs that provided substantial discrimination (area under the curve=0.90-0.99) for current heavy alcohol intake (⩾42 g per day in men and ⩾28 g per day in women) in four replication cohorts. The ancestry-stratified meta-analysis in whole blood identified 328 (9643 European ancestry samples) and 165 (2423 African ancestry samples) alcohol-related CpGs at Bonferroni-adjusted P<1 {\texttimes} 10(-7). Analysis of the monocyte-derived DNA (n=1251) identified 62 alcohol-related CpGs at P<1 {\texttimes} 10(-7). In whole-blood samples of people of European ancestry, we detected differential methylation in two neurotransmitter receptor genes, the γ-Aminobutyric acid-A receptor delta and γ-aminobutyric acid B receptor subunit 1; their differential methylation was associated with expression levels of a number of genes involved in immune function. In conclusion, we have identified a robust alcohol-related DNA methylation signature and shown the potential utility of DNA methylation as a clinically useful diagnostic test to detect current heavy alcohol consumption.Molecular Psychiatry advance online publication, 15 November 2016; doi:10.1038/mp.2016.192.

}, issn = {1476-5578}, doi = {10.1038/mp.2016.192}, author = {Liu, C and Marioni, R E and Hedman, {\r A} K and Pfeiffer, L and Tsai, P-C and Reynolds, L M and Just, A C and Duan, Q and Boer, C G and Tanaka, T and Elks, C E and Aslibekyan, S and Brody, J A and K{\"u}hnel, B and Herder, C and Almli, L M and Zhi, D and Wang, Y and Huan, T and Yao, C and Mendelson, M M and Joehanes, R and Liang, L and Love, S-A and Guan, W and Shah, S and McRae, A F and Kretschmer, A and Prokisch, H and Strauch, K and Peters, A and Visscher, P M and Wray, N R and Guo, X and Wiggins, K L and Smith, A K and Binder, E B and Ressler, K J and Irvin, M R and Absher, D M and Hernandez, D and Ferrucci, L and Bandinelli, S and Lohman, K and Ding, J and Trevisi, L and Gustafsson, S and Sandling, J H and Stolk, L and Uitterlinden, A G and Yet, I and Castillo-Fernandez, J E and Spector, T D and Schwartz, J D and Vokonas, P and Lind, L and Li, Y and Fornage, M and Arnett, D K and Wareham, N J and Sotoodehnia, N and Ong, K K and van Meurs, J B J and Conneely, K N and Baccarelli, A A and Deary, I J and Bell, J T and North, K E and Liu, Y and Waldenberger, M and London, S J and Ingelsson, E and Levy, D} } @article {7349, title = {DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases.}, journal = {Genome Biol}, volume = {17}, year = {2016}, month = {2016 Dec 12}, pages = {255}, abstract = {

BACKGROUND: Chronic low-grade inflammation reflects a subclinical immune response implicated in the pathogenesis of complex diseases. Identifying genetic loci where DNA methylation is associated with chronic low-grade inflammation may reveal novel pathways or therapeutic targets for inflammation.

RESULTS: We performed a meta-analysis of epigenome-wide association studies (EWAS) of serum C-reactive protein (CRP), which is a sensitive marker of low-grade inflammation, in a large European population (n = 8863) and trans-ethnic replication in African Americans (n = 4111). We found differential methylation at 218 CpG sites to be associated with CRP (P < 1.15 {\texttimes} 10(-7)) in the discovery panel of European ancestry and replicated (P < 2.29 {\texttimes} 10(-4)) 58 CpG sites (45 unique loci) among African Americans. To further characterize the molecular and clinical relevance of the findings, we examined the association with gene expression, genetic sequence variants, and clinical outcomes. DNA methylation at nine (16\%) CpG sites was associated with whole blood gene expression in cis (P < 8.47 {\texttimes} 10(-5)), ten (17\%) CpG sites were associated with a nearby genetic variant (P < 2.50 {\texttimes} 10(-3)), and 51 (88\%) were also associated with at least one related cardiometabolic entity (P < 9.58 {\texttimes} 10(-5)). An additive weighted score of replicated CpG sites accounted for up to 6\% inter-individual variation (R2) of age-adjusted and sex-adjusted CRP, independent of known CRP-related genetic variants.

CONCLUSION: We have completed an EWAS of chronic low-grade inflammation and identified many novel genetic loci underlying inflammation that may serve as targets for the development of novel therapeutic interventions for inflammation.

}, issn = {1474-760X}, doi = {10.1186/s13059-016-1119-5}, author = {Ligthart, Symen and Marzi, Carola and Aslibekyan, Stella and Mendelson, Michael M and Conneely, Karen N and Tanaka, Toshiko and Colicino, Elena and Waite, Lindsay L and Joehanes, Roby and Guan, Weihua and Brody, Jennifer A and Elks, Cathy and Marioni, Riccardo and Jhun, Min A and Agha, Golareh and Bressler, Jan and Ward-Caviness, Cavin K and Chen, Brian H and Huan, Tianxiao and Bakulski, Kelly and Salfati, Elias L and Fiorito, Giovanni and Wahl, Simone and Schramm, Katharina and Sha, Jin and Hernandez, Dena G and Just, Allan C and Smith, Jennifer A and Sotoodehnia, Nona and Pilling, Luke C and Pankow, James S and Tsao, Phil S and Liu, Chunyu and Zhao, Wei and Guarrera, Simonetta and Michopoulos, Vasiliki J and Smith, Alicia K and Peters, Marjolein J and Melzer, David and Vokonas, Pantel and Fornage, Myriam and Prokisch, Holger and Bis, Joshua C and Chu, Audrey Y and Herder, Christian and Grallert, Harald and Yao, Chen and Shah, Sonia and McRae, Allan F and Lin, Honghuang and Horvath, Steve and Fallin, Daniele and Hofman, Albert and Wareham, Nicholas J and Wiggins, Kerri L and Feinberg, Andrew P and Starr, John M and Visscher, Peter M and Murabito, Joanne M and Kardia, Sharon L R and Absher, Devin M and Binder, Elisabeth B and Singleton, Andrew B and Bandinelli, Stefania and Peters, Annette and Waldenberger, Melanie and Matullo, Giuseppe and Schwartz, Joel D and Demerath, Ellen W and Uitterlinden, Andr{\'e} G and van Meurs, Joyce B J and Franco, Oscar H and Chen, Yii-Der Ida and Levy, Daniel and Turner, Stephen T and Deary, Ian J and Ressler, Kerry J and Dupuis, Jos{\'e}e and Ferrucci, Luigi and Ong, Ken K and Assimes, Themistocles L and Boerwinkle, Eric and Koenig, Wolfgang and Arnett, Donna K and Baccarelli, Andrea A and Benjamin, Emelia J and Dehghan, Abbas} } @article {7261, title = {Epigenetic Signatures of Cigarette Smoking.}, journal = {Circ Cardiovasc Genet}, volume = {9}, year = {2016}, month = {2016 Oct}, pages = {436-447}, abstract = {

BACKGROUND: DNA methylation leaves a long-term signature of smoking exposure and is one potential mechanism by which tobacco exposure predisposes to adverse health outcomes, such as cancers, osteoporosis, lung, and cardiovascular disorders.

METHODS AND RESULTS: To comprehensively determine the association between cigarette smoking and DNA methylation, we conducted a meta-analysis of genome-wide DNA methylation assessed using the Illumina BeadChip 450K array on 15 907 blood-derived DNA samples from participants in 16 cohorts (including 2433 current, 6518 former, and 6956 never smokers). Comparing current versus never smokers, 2623 cytosine-phosphate-guanine sites (CpGs), annotated to 1405 genes, were statistically significantly differentially methylated at Bonferroni threshold of P<1{\texttimes}10(-7) (18 760 CpGs at false discovery rate <0.05). Genes annotated to these CpGs were enriched for associations with several smoking-related traits in genome-wide studies including pulmonary function, cancers, inflammatory diseases, and heart disease. Comparing former versus never smokers, 185 of the CpGs that differed between current and never smokers were significant P<1{\texttimes}10(-7) (2623 CpGs at false discovery rate <0.05), indicating a pattern of persistent altered methylation, with attenuation, after smoking cessation. Transcriptomic integration identified effects on gene expression at many differentially methylated CpGs.

CONCLUSIONS: Cigarette smoking has a broad impact on genome-wide methylation that, at many loci, persists many years after smoking cessation. Many of the differentially methylated genes were novel genes with respect to biological effects of smoking and might represent therapeutic targets for prevention or treatment of tobacco-related diseases. Methylation at these sites could also serve as sensitive and stable biomarkers of lifetime exposure to tobacco smoke.

}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.116.001506}, author = {Joehanes, Roby and Just, Allan C and Marioni, Riccardo E and Pilling, Luke C and Reynolds, Lindsay M and Mandaviya, Pooja R and Guan, Weihua and Xu, Tao and Elks, Cathy E and Aslibekyan, Stella and Moreno-Macias, Hortensia and Smith, Jennifer A and Brody, Jennifer A and Dhingra, Radhika and Yousefi, Paul and Pankow, James S and Kunze, Sonja and Shah, Sonia H and McRae, Allan F and Lohman, Kurt and Sha, Jin and Absher, Devin M and Ferrucci, Luigi and Zhao, Wei and Demerath, Ellen W and Bressler, Jan and Grove, Megan L and Huan, Tianxiao and Liu, Chunyu and Mendelson, Michael M and Yao, Chen and Kiel, Douglas P and Peters, Annette and Wang-Sattler, Rui and Visscher, Peter M and Wray, Naomi R and Starr, John M and Ding, Jingzhong and Rodriguez, Carlos J and Wareham, Nicholas J and Irvin, Marguerite R and Zhi, Degui and Barrdahl, Myrto and Vineis, Paolo and Ambatipudi, Srikant and Uitterlinden, Andr{\'e} G and Hofman, Albert and Schwartz, Joel and Colicino, Elena and Hou, Lifang and Vokonas, Pantel S and Hernandez, Dena G and Singleton, Andrew B and Bandinelli, Stefania and Turner, Stephen T and Ware, Erin B and Smith, Alicia K and Klengel, Torsten and Binder, Elisabeth B and Psaty, Bruce M and Taylor, Kent D and Gharib, Sina A and Swenson, Brenton R and Liang, Liming and DeMeo, Dawn L and O{\textquoteright}Connor, George T and Herceg, Zdenko and Ressler, Kerry J and Conneely, Karen N and Sotoodehnia, Nona and Kardia, Sharon L R and Melzer, David and Baccarelli, Andrea A and van Meurs, Joyce B J and Romieu, Isabelle and Arnett, Donna K and Ong, Ken K and Liu, Yongmei and Waldenberger, Melanie and Deary, Ian J and Fornage, Myriam and Levy, Daniel and London, Stephanie J} } @article {7138, title = {Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {8-21}, abstract = {

Red blood cell (RBC) traits are important heritable clinical biomarkers and modifiers of disease severity. To identify coding genetic variants associated with these traits, we conducted meta-analyses of seven RBC phenotypes in 130,273 multi-ethnic individuals from~studies genotyped on an exome array. After conditional analyses and replication in 27,480 independent individuals, we identified 16 new RBC variants. We found low-frequency missense variants in MAP1A (rs55707100, minor allele frequency [MAF] = 3.3\%, p = 2~{\texttimes}~10(-10) for hemoglobin [HGB]) and HNF4A (rs1800961, MAF = 2.4\%, p < 3~{\texttimes} 10(-8) for hematocrit [HCT] and HGB). In African Americans, we identified a nonsense variant in CD36 associated with higher RBC distribution width (rs3211938, MAF = 8.7\%, p = 7~{\texttimes} 10(-11)) and showed that it is associated with lower CD36 expression and strong allelic imbalance in ex~vivo differentiated human erythroblasts. We also identified a rare missense variant in ALAS2 (rs201062903, MAF = 0.2\%) associated with lower mean corpuscular volume and mean corpuscular hemoglobin (p < 8~{\texttimes} 10(-9)). Mendelian mutations in ALAS2 are a cause of sideroblastic anemia and erythropoietic protoporphyria. Gene-based testing highlighted three rare missense variants in PKLR, a gene mutated in Mendelian non-spherocytic hemolytic anemia, associated with HGB and HCT (SKAT p < 8~{\texttimes} 10(-7)). These rare, low-frequency, and common RBC variants showed pleiotropy, being also associated with platelet, white blood cell, and lipid traits. Our association results and functional annotation suggest the involvement of new genes in human erythropoiesis. We also confirm that rare and low-frequency variants play a role in the architecture of complex human traits, although their phenotypic effect is generally smaller than originally anticipated.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.007}, author = {Chami, Nathalie and Chen, Ming-Huei and Slater, Andrew J and Eicher, John D and Evangelou, Evangelos and Tajuddin, Salman M and Love-Gregory, Latisha and Kacprowski, Tim and Schick, Ursula M and Nomura, Akihiro and Giri, Ayush and Lessard, Samuel and Brody, Jennifer A and Schurmann, Claudia and Pankratz, Nathan and Yanek, Lisa R and Manichaikul, Ani and Pazoki, Raha and Mihailov, Evelin and Hill, W David and Raffield, Laura M and Burt, Amber and Bartz, Traci M and Becker, Diane M and Becker, Lewis C and Boerwinkle, Eric and Bork-Jensen, Jette and Bottinger, Erwin P and O{\textquoteright}Donoghue, Michelle L and Crosslin, David R and de Denus, Simon and Dub{\'e}, Marie-Pierre and Elliott, Paul and Engstr{\"o}m, Gunnar and Evans, Michele K and Floyd, James S and Fornage, Myriam and Gao, He and Greinacher, Andreas and Gudnason, Vilmundur and Hansen, Torben and Harris, Tamara B and Hayward, Caroline and Hernesniemi, Jussi and Highland, Heather M and Hirschhorn, Joel N and Hofman, Albert and Irvin, Marguerite R and K{\"a}h{\"o}nen, Mika and Lange, Ethan and Launer, Lenore J and Lehtim{\"a}ki, Terho and Li, Jin and Liewald, David C M and Linneberg, Allan and Liu, Yongmei and Lu, Yingchang and Lyytik{\"a}inen, Leo-Pekka and M{\"a}gi, Reedik and Mathias, Rasika A and Melander, Olle and Metspalu, Andres and Mononen, Nina and Nalls, Mike A and Nickerson, Deborah A and Nikus, Kjell and O{\textquoteright}Donnell, Chris J and Orho-Melander, Marju and Pedersen, Oluf and Petersmann, Astrid and Polfus, Linda and Psaty, Bruce M and Raitakari, Olli T and Raitoharju, Emma and Richard, Melissa and Rice, Kenneth M and Rivadeneira, Fernando and Rotter, Jerome I and Schmidt, Frank and Smith, Albert Vernon and Starr, John M and Taylor, Kent D and Teumer, Alexander and Thuesen, Betina H and Torstenson, Eric S and Tracy, Russell P and Tzoulaki, Ioanna and Zakai, Neil A and Vacchi-Suzzi, Caterina and van Duijn, Cornelia M and van Rooij, Frank J A and Cushman, Mary and Deary, Ian J and Velez Edwards, Digna R and Vergnaud, Anne-Claire and Wallentin, Lars and Waterworth, Dawn M and White, Harvey D and Wilson, James G and Zonderman, Alan B and Kathiresan, Sekar and Grarup, Niels and Esko, T{\~o}nu and Loos, Ruth J F and Lange, Leslie A and Faraday, Nauder and Abumrad, Nada A and Edwards, Todd L and Ganesh, Santhi K and Auer, Paul L and Johnson, Andrew D and Reiner, Alexander P and Lettre, Guillaume} } @article {7161, title = {Gait Speed Predicts Incident Disability: A Pooled Analysis.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {71}, year = {2016}, month = {2016 Jan}, pages = {63-71}, abstract = {

BACKGROUND: Functional independence with aging is an important goal for individuals and society. Simple prognostic indicators can inform health promotion and care planning, but evidence is limited by heterogeneity in measures of function.

METHODS: We performed a pooled analysis of data from seven studies of 27,220 community-dwelling older adults aged 65 or older with baseline gait speed, followed for disability and mortality. Outcomes were incident inability or dependence on another person in bathing or dressing; and difficulty walking {\textonequarter} - {\textonehalf} mile or climbing 10 steps within 3 years.

RESULTS: Participants with faster baseline gait had lower rates of incident disability. In subgroups (defined by 0.2 m/s-wide intervals from <0.4 to >= 1.4 m/s) with increasingly greater gait speed, 3-year rates of bathing or dressing dependence trended from 10\% to 1\% in men, and from 15\% to 1\% in women, while mobility difficulty trended from 47\% to 4\% in men and 40\% to 6\% in women. The age-adjusted relative risk ratio per 0.1 m/s greater speed for bathing or dressing dependence in men was 0.68 (0.57-0.81) and in women: 0.74 (0.66-0.82); for mobility difficulty, men: 0.75 (0.68-0.82), women: 0.73 (0.67-0.80). Results were similar for combined disability and mortality. Effects were largely consistent across subgroups based on age, gender, race, body mass index, prior hospitalization, and selected chronic conditions. In the presence of multiple other risk factors for disability, gait speed significantly increased the area under the receiver operator characteristic curve.

CONCLUSION: In older adults, gait speed predicts 3 year incidence of bathing or dressing dependence, mobility difficulty, and a composite outcome of disability and mortality.

}, keywords = {Activities of Daily Living, Aged, Aged, 80 and over, Aging, Cohort Studies, Disability Evaluation, Disabled Persons, Female, Gait, Geriatric Assessment, Humans, Independent Living, Male, Mobility Limitation, Predictive Value of Tests, Prognosis, Psychomotor Performance, Risk Assessment, Risk Factors, ROC Curve, Survival Analysis, United States}, issn = {1758-535X}, doi = {10.1093/gerona/glv126}, author = {Perera, Subashan and Patel, Kushang V and Rosano, Caterina and Rubin, Susan M and Satterfield, Suzanne and Harris, Tamara and Ensrud, Kristine and Orwoll, Eric and Lee, Christine G and Chandler, Julie M and Newman, Anne B and Cauley, Jane A and Guralnik, Jack M and Ferrucci, Luigi and Studenski, Stephanie A} } @article {8569, title = {{Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function}, journal = {Nat Commun}, volume = {7}, year = {2016}, month = {Jan}, pages = {10023}, abstract = {Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.}, author = {Pattaro, C. and Teumer, A. and Gorski, M. and Chu, A. Y. and Li, M. and Mijatovic, V. and Garnaas, M. and Tin, A. and Sorice, R. and Li, Y. and Taliun, D. and Olden, M. and Foster, M. and Yang, Q. and Chen, M. H. and Pers, T. H. and Johnson, A. D. and Ko, Y. A. and Fuchsberger, C. and Tayo, B. and Nalls, M. and Feitosa, M. F. and Isaacs, A. and Dehghan, A. and d{\textquoteright}Adamo, P. and Adeyemo, A. and Dieffenbach, A. K. and Zonderman, A. B. and Nolte, I. M. and van der Most, P. J. and Wright, A. F. and Shuldiner, A. R. and Morrison, A. C. and Hofman, A. and Smith, A. V. and Dreisbach, A. W. and Franke, A. and Uitterlinden, A. G. and Metspalu, A. and Tonjes, A. and Lupo, A. and Robino, A. and Johansson, ?. and Demirkan, A. and Kollerits, B. and Freedman, B. I. and Ponte, B. and Oostra, B. A. and Paulweber, B. and Kr?mer, B. K. and Mitchell, B. D. and Buckley, B. M. and Peralta, C. A. and Hayward, C. and Helmer, C. and Rotimi, C. N. and Shaffer, C. M. and M?ller, C. and Sala, C. and van Duijn, C. M. and Saint-Pierre, A. and Ackermann, D. and Shriner, D. and Ruggiero, D. and Toniolo, D. and Lu, Y. and Cusi, D. and Czamara, D. and Ellinghaus, D. and Siscovick, D. S. and Ruderfer, D. and Gieger, C. and Grallert, H. and Rochtchina, E. and Atkinson, E. J. and Holliday, E. G. and Boerwinkle, E. and Salvi, E. and Bottinger, E. P. and Murgia, F. and Rivadeneira, F. and Ernst, F. and Kronenberg, F. and Hu, F. B. and Navis, G. J. and Curhan, G. C. and Ehret, G. B. and Homuth, G. and Coassin, S. and Thun, G. A. and Pistis, G. and Gambaro, G. and Malerba, G. and Montgomery, G. W. and Eiriksdottir, G. and Jacobs, G. and Li, G. and Wichmann, H. E. and Campbell, H. and Schmidt, H. and Wallaschofski, H. and V?lzke, H. and Brenner, H. and Kroemer, H. K. and Kramer, H. and Lin, H. and Leach, I. M. and Ford, I. and Guessous, I. and Rudan, I. and Prokopenko, I. and Borecki, I. and Heid, I. M. and Kolcic, I. and Persico, I. and Jukema, J. W. and Wilson, J. F. and Felix, J. F. and Divers, J. and Lambert, J. C. and Stafford, J. M. and Gaspoz, J. M. and Smith, J. A. and Faul, J. D. and Wang, J. J. and Ding, J. and Hirschhorn, J. N. and Attia, J. and Whitfield, J. B. and Chalmers, J. and Viikari, J. and Coresh, J. and Denny, J. C. and Karjalainen, J. and Fernandes, J. K. and Endlich, K. and Butterbach, K. and Keene, K. L. and Lohman, K. and Portas, L. and Launer, L. J. and Lyytik?inen, L. P. and Yengo, L. and Franke, L. and Ferrucci, L. and Rose, L. M. and Kedenko, L. and Rao, M. and Struchalin, M. and Kleber, M. E. and Cavalieri, M. and Haun, M. and Cornelis, M. C. and Ciullo, M. and Pirastu, M. and de Andrade, M. and McEvoy, M. A. and Woodward, M. and Adam, M. and Cocca, M. and Nauck, M. and Imboden, M. and Waldenberger, M. and Pruijm, M. and Metzger, M. and Stumvoll, M. and Evans, M. K. and Sale, M. M. and K?h?nen, M. and Boban, M. and Bochud, M. and Rheinberger, M. and Verweij, N. and Bouatia-Naji, N. and Martin, N. G. and Hastie, N. and Probst-Hensch, N. and Soranzo, N. and Devuyst, O. and Raitakari, O. and Gottesman, O. and Franco, O. H. and Polasek, O. and Gasparini, P. and Munroe, P. B. and Ridker, P. M. and Mitchell, P. and Muntner, P. and Meisinger, C. and Smit, J. H. and Kovacs, P. and Wild, P. S. and Froguel, P. and Rettig, R. and M?gi, R. and Biffar, R. and Schmidt, R. and Middelberg, R. P. and Carroll, R. J. and Penninx, B. W. and Scott, R. J. and Katz, R. and Sedaghat, S. and Wild, S. H. and Kardia, S. L. and Ulivi, S. and Hwang, S. J. and Enroth, S. and Kloiber, S. and Trompet, S. and Stengel, B. and Hancock, S. J. and Turner, S. T. and Rosas, S. E. and Stracke, S. and Harris, T. B. and Zeller, T. and Zemunik, T. and Lehtim?ki, T. and Illig, T. and Aspelund, T. and Nikopensius, T. and Esko, T. and Tanaka, T. and Gyllensten, U. and V?lker, U. and Emilsson, V. and Vitart, V. and Aalto, V. and Gudnason, V. and Chouraki, V. and Chen, W. M. and Igl, W. and M?rz, W. and Koenig, W. and Lieb, W. and Loos, R. J. and Liu, Y. and Snieder, H. and Pramstaller, P. P. and Parsa, A. and O{\textquoteright}Connell, J. R. and Susztak, K. and Hamet, P. and Tremblay, J. and De Boer, I. H. and B?ger, C. A. and Goessling, W. and Chasman, D. I. and K?ttgen, A. and Kao, W. H. and Fox, C. S. and Abecasis, G. R. and Adair, L. S. and Alexander, M. and Altshuler, D. and Amin, N. and Arking, D. E. and Arora, P. and Aulchenko, Y. and Bakker, S. J. and Bandinelli, S. and Barroso, I. and Beckmann, J. S. and Beilby, J. P. and Bergman, R. N. and Bergmann, S. and Bis, J. C. and Boehnke, M. and Bonnycastle, L. L. and Bornstein, S. R. and Bots, M. L. and Bragg-Gresham, J. L. and Brand, S. 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A. and Meitinger, T. and Melander, O. and Meneton, P. and Meschia, J. F. and Miki, T. and Milaneschi, Y. and Mohlke, K. L. and Mooser, V. and Morken, M. A. and Morris, R. W. and Mosley, T. H. and Najjar, S. and Narisu, N. and Newton-Cheh, C. and Nguyen, K. D. and Nilsson, P. and Nyberg, F. and O{\textquoteright}Donnell, C. J. and Ogihara, T. and Ohkubo, T. and Okamura, T. and Ong, R. T. and Ongen, H. and Onland-Moret, N. C. and O{\textquoteright}Reilly, P. F. and Org, E. and Orru, M. and Palmas, W. and Palmen, J. and Palmer, L. J. and Palmer, N. D. and Parker, A. N. and Peden, J. F. and Peltonen, L. and Perola, M. and Pihur, V. and Platou, C. G. and Plump, A. and Prabhakaran, D. and Psaty, B. M. and Raffel, L. J. and Rao, D. C. and Rasheed, A. and Ricceri, F. and Rice, K. M. and Rosengren, A. and Rotter, J. I. and Rudock, M. E. and S?ber, S. and Salako, T. and Saleheen, D. and Salomaa, V. and Samani, N. J. and Schwartz, S. M. and Schwarz, P. E. and Scott, L. J. and Scott, J. and Scuteri, A. and Sehmi, J. S. and Seielstad, M. and Seshadri, S. and Sharma, P. and Shaw-Hawkins, S. and Shi, G. and Shrine, N. R. and Sijbrands, E. J. and Sim, X. and Singleton, A. and Sj?gren, M. and Smith, N. L. and Soler Artigas, M. and Spector, T. D. and Staessen, J. A. and Stancakova, A. and Steinle, N. I. and Strachan, D. P. and Stringham, H. M. and Sun, Y. V. and Swift, A. J. and Tabara, Y. and Tai, E. S. and Talmud, P. J. and Taylor, A. and Terzic, J. and Thelle, D. S. and Tobin, M. D. and Tomaszewski, M. and Tripathy, V. and Tuomilehto, J. and Tzoulaki, I. and Uda, M. and Ueshima, H. and Uiterwaal, C. S. and Umemura, S. and van der Harst, P. and van der Schouw, Y. T. and van Gilst, W. H. and Vartiainen, E. and Vasan, R. S. and Veldre, G. and Verwoert, G. C. and Viigimaa, M. and Vinay, D. G. and Vineis, P. and Voight, B. F. and Vollenweider, P. and Wagenknecht, L. E. and Wain, L. V. and Wang, X. and Wang, T. J. and Wareham, N. J. and Watkins, H. and Weder, A. B. and Whincup, P. H. and Wiggins, K. L. and Witteman, J. C. and Wong, A. and Wu, Y. and Yajnik, C. S. and Yao, J. and Young, J. H. and Zelenika, D. and Zhai, G. and Zhang, W. and Zhang, F. and Zhao, J. H. and Zhu, H. and Zhu, X. and Zitting, P. and Zukowska-Szczechowska, E. and Okada, Y. and Wu, J. Y. and Gu, D. and Takeuchi, F. and Takahashi, A. and Maeda, S. and Tsunoda, T. and Chen, P. and Lim, S. C. and Wong, T. Y. and Liu, J. and Young, T. L. and Aung, T. and Teo, Y. Y. and Kim, Y. J. and Kang, D. and Chen, C. H. and Tsai, F. J. and Chang, L. C. and Fann, S. J. and Mei, H. and Hixson, J. E. and Chen, S. and Katsuya, T. and Isono, M. and Albrecht, E. and Yamamoto, K. and Kubo, M. and Nakamura, Y. and Kamatani, N. and Kato, N. and He, J. and Chen, Y. T. and Tanaka, T. and Reilly, M. P. and Schunkert, H. and Assimes, T. L. and Hall, A. and Hengstenberg, C. and K?nig, I. R. and Laaksonen, R. and McPherson, R. and Thompson, J. R. and Thorsteinsdottir, U. and Ziegler, A. and Absher, D. and Chen, L. and Cupples, L. A. and Halperin, E. and Li, M. and Musunuru, K. and Preuss, M. and Schillert, A. and Thorleifsson, G. and Wells, G. A. and Holm, H. and Roberts, R. and Stewart, A. F. and Fortmann, S. and Go, A. and Hlatky, M. and Iribarren, C. and Knowles, J. and Myers, R. and Quertermous, T. and Sidney, S. and Risch, N. and Tang, H. and Blankenberg, S. and Schnabel, R. and Sinning, C. and Lackner, K. J. and Tiret, L. and Nicaud, V. and Cambien, F. and Bickel, C. and Rupprecht, H. J. and Perret, C. and Proust, C. and M?nzel, T. F. and Barbalic, M. and Chen, I. Y. and Demissie-Banjaw, S. and Folsom, A. and Lumley, T. and Marciante, K. and Taylor, K. D. and Volcik, K. and Gretarsdottir, S. and Gulcher, J. R. and Kong, A. and Stefansson, K. and Thorgeirsson, G. and Andersen, K. and Fischer, M. and Grosshennig, A. and Linsel-Nitschke, P. and Stark, K. and Schreiber, S. and Aherrahrou, Z. and Bruse, P. and Doering, A. and Klopp, N. and Diemert, P. and Loley, C. and Medack, A. and Nahrstedt, J. and Peters, A. and Wagner, A. K. and Willenborg, C. and B?hm, B. O. and Dobnig, H. and Grammer, T. B. and Hoffmann, M. M. and Meinitzer, A. and Winkelmann, B. R. and Pilz, S. and Renner, W. and Scharnagl, H. and Stojakovic, T. and Tomaschitz, A. and Winkler, K. and Guiducci, C. and Burtt, N. and Gabriel, S. B. and Dandona, S. and Jarinova, O. and Qu, L. and Wilensky, R. and Matthai, W. and Hakonarson, H. H. and Devaney, J. and Burnett, M. S. and Pichard, A. D. and Kent, K. M. and Satler, L. and Lindsay, J. M. and Waksman, R. and Knouff, C. W. and Waterworth, D. M. and Walker, M. C. and Epstein, S. E. and Rader, D. J. and Nelson, C. P. and Wright, B. J. and Balmforth, A. J. and Ball, S. G. and Loehr, L. R. and Rosamond, W. D. and Benjamin, E. and Haritunians, T. and Couper, D. and Murabito, J. and Wang, Y. A. and Stricker, B. H. and Chang, P. P. and Willerson, J. T. and Felix, S. B. and Watzinger, N. and Aragam, J. and Zweiker, R. and Lind, L. and Rodeheffer, R. J. and Greiser, K. H. and Deckers, J. W. and Stritzke, J. and Ingelsson, E. and Kullo, I. and Haerting, J. and Reffelmann, T. and Redfield, M. M. and Werdan, K. and Mitchell, G. F. and Arnett, D. K. and Gottdiener, J. S. and Blettner, M. and Friedrich, N.} } @article {7165, title = {Genetic Investigation Into the Differential Risk of Atrial Fibrillation Among Black and White Individuals.}, journal = {JAMA Cardiol}, volume = {1}, year = {2016}, month = {2016 Jul 1}, pages = {442-50}, abstract = {

IMPORTANCE: White persons have a higher risk of atrial fibrillation (AF) compared with black individuals despite a lower prevalence of risk factors. This difference may be due, at least in part, to genetic factors.

OBJECTIVES: To determine whether 9 single-nucleotide polymorphisms (SNPs) associated with AF account for this paradoxical differential racial risk for AF and to use admixture mapping to search genome-wide for loci that may account for this phenomenon.

DESIGN, SETTING, AND PARTICIPANTS: Genome-wide admixture analysis and candidate SNP study involving 3 population-based cohort studies that were initiated between 1987 and 1997, including the Cardiovascular Health Study (CHS) (n = 4173), the Atherosclerosis Risk in Communities (ARIC) (n = 12 341) study, and the Health, Aging, and Body Composition (Health ABC) (n = 1015) study. In all 3 studies, race was self-identified. Cox proportional hazards regression models and the proportion of treatment effect method were used to determine the impact of 9 AF-risk SNPs among participants from CHS and the ARIC study. The present study began July 1, 2012, and was completed in 2015.

MAIN OUTCOMES AND MEASURES: Incident AF systematically ascertained using clinic visit electrocardiograms, hospital discharge diagnosis codes, death certificates, and Medicare claims data.

RESULTS: A single SNP, rs10824026 (chromosome 10: position 73661450), was found to significantly mediate the higher risk for AF in white participants compared with black participants in CHS (11.4\%; 95\% CI, 2.9\%-29.9\%) and ARIC (31.7\%; 95\% CI, 16.0\%-53.0\%). Admixture mapping was performed in a meta-analysis of black participants within CHS (n = 811), ARIC (n = 3112), and Health ABC (n = 1015). No loci that reached the prespecified statistical threshold for genome-wide significance were identified.

CONCLUSIONS AND RELEVANCE: The rs10824026 SNP on chromosome 10q22 mediates a modest proportion of the increased risk of AF among white individuals compared with black individuals, potentially through an effect on gene expression levels of MYOZ1. No additional genetic variants accounting for a significant portion of the differential racial risk of AF were identified with genome-wide admixture mapping, suggesting that additional genetic or environmental influences beyond single SNPs in isolation may account for the paradoxical racial risk of AF among white individuals and black individuals.

}, issn = {2380-6591}, doi = {10.1001/jamacardio.2016.1185}, author = {Roberts, Jason D and Hu, Donglei and Heckbert, Susan R and Alonso, Alvaro and Dewland, Thomas A and Vittinghoff, Eric and Liu, Yongmei and Psaty, Bruce M and Olgin, Jeffrey E and Magnani, Jared W and Huntsman, Scott and Burchard, Esteban G and Arking, Dan E and Bibbins-Domingo, Kirsten and Harris, Tamara B and Perez, Marco V and Ziv, Elad and Marcus, Gregory M} } @article {7254, title = {Genetic Variants Associated with Circulating Parathyroid Hormone.}, journal = {J Am Soc Nephrol}, year = {2016}, month = {2016 Dec 07}, abstract = {

Parathyroid hormone (PTH) is a primary calcium regulatory hormone. Elevated serum PTH concentrations in primary and secondary hyperparathyroidism have been associated with bone disease, hypertension, and in some studies, cardiovascular mortality. Genetic causes of variation in circulating PTH concentrations are incompletely understood. We performed a genome-wide association study of serum PTH concentrations among 29,155 participants of European ancestry from 13 cohort studies (n=22,653 and n=6502 in discovery and replication analyses, respectively). We evaluated the association of single nucleotide polymorphisms (SNPs) with natural log-transformed PTH concentration adjusted for age, sex, season, study site, and principal components of ancestry. We discovered associations of SNPs from five independent regions with serum PTH concentration, including the strongest association with rs6127099 upstream of CYP24A1 (P=4.2 {\texttimes} 10(-53)), a gene that encodes the primary catabolic enzyme for 1,25-dihydroxyvitamin D and 25-dihydroxyvitamin D. Each additional copy of the minor allele at this SNP associated with 7\% higher serum PTH concentration. The other SNPs associated with serum PTH concentration included rs4074995 within RGS14 (P=6.6 {\texttimes} 10(-17)), rs219779 adjacent to CLDN14 (P=3.5 {\texttimes} 10(-16)), rs4443100 near RTDR1 (P=8.7 {\texttimes} 10(-9)), and rs73186030 near CASR (P=4.8 {\texttimes} 10(-8)). Of these five SNPs, rs6127099, rs4074995, and rs219779 replicated. Thus, common genetic variants located near genes involved in vitamin D metabolism and calcium and renal phosphate transport associated with differences in circulating PTH concentrations. Future studies could identify the causal variants at these loci, and the clinical and functional relevance of these variants should be pursued.

}, issn = {1533-3450}, doi = {10.1681/ASN.2016010069}, author = {Robinson-Cohen, Cassianne and Lutsey, Pamela L and Kleber, Marcus E and Nielson, Carrie M and Mitchell, Braxton D and Bis, Joshua C and Eny, Karen M and Portas, Laura and Eriksson, Joel and Lorentzon, Mattias and Koller, Daniel L and Milaneschi, Yuri and Teumer, Alexander and Pilz, Stefan and Nethander, Maria and Selvin, Elizabeth and Tang, Weihong and Weng, Lu-Chen and Wong, Hoi Suen and Lai, Dongbing and Peacock, Munro and Hannemann, Anke and V{\"o}lker, Uwe and Homuth, Georg and Nauk, Matthias and Murgia, Federico and Pattee, Jack W and Orwoll, Eric and Zmuda, Joseph M and Riancho, Jose Antonio and Wolf, Myles and Williams, Frances and Penninx, Brenda and Econs, Michael J and Ryan, Kathleen A and Ohlsson, Claes and Paterson, Andrew D and Psaty, Bruce M and Siscovick, David S and Rotter, Jerome I and Pirastu, Mario and Streeten, Elizabeth and M{\"a}rz, Winfried and Fox, Caroline and Coresh, Josef and Wallaschofski, Henri and Pankow, James S and de Boer, Ian H and Kestenbaum, Bryan} } @article {7168, title = {Genetic variants in RBFOX3 are associated with sleep latency.}, journal = {Eur J Hum Genet}, volume = {24}, year = {2016}, month = {2016 Oct}, pages = {1488-95}, abstract = {

Time to fall asleep (sleep latency) is a major determinant of sleep quality. Chronic, long sleep latency is a major characteristic of sleep-onset insomnia and/or delayed sleep phase syndrome. In this study we aimed to discover common polymorphisms that contribute to the genetics of sleep latency. We performed a meta-analysis of genome-wide association studies (GWAS) including 2 572 737 single nucleotide polymorphisms (SNPs) established in seven European cohorts including 4242 individuals. We found a cluster of three highly correlated variants (rs9900428, rs9907432 and rs7211029) in the RNA-binding protein fox-1 homolog 3 gene (RBFOX3) associated with sleep latency (P-values=5.77 {\texttimes} 10(-08), 6.59 {\texttimes} 10(-)(08) and 9.17 {\texttimes} 10(-)(08)). These SNPs were replicated in up to 12 independent populations including 30 377 individuals (P-values=1.5 {\texttimes} 10(-)(02), 7.0 {\texttimes} 10(-)(03) and 2.5 {\texttimes} 10(-)(03); combined meta-analysis P-values=5.5 {\texttimes} 10(-07), 5.4 {\texttimes} 10(-07) and 1.0 {\texttimes} 10(-07)). A functional prediction of RBFOX3 based on co-expression with other genes shows that this gene is predominantly expressed in brain (P-value=1.4 {\texttimes} 10(-316)) and the central nervous system (P-value=7.5 {\texttimes} 10(-)(321)). The predicted function of RBFOX3 based on co-expression analysis with other genes shows that this gene is significantly involved in the release cycle of neurotransmitters including gamma-aminobutyric acid and various monoamines (P-values<2.9 {\texttimes} 10(-11)) that are crucial in triggering the onset of sleep. To conclude, in this first large-scale GWAS of sleep latency we report a novel association of variants in RBFOX3 gene. Further, a functional prediction of RBFOX3 supports the involvement of RBFOX3 with sleep latency.

}, issn = {1476-5438}, doi = {10.1038/ejhg.2016.31}, author = {Amin, Najaf and Allebrandt, Karla V and van der Spek, Ashley and M{\"u}ller-Myhsok, Bertram and Hek, Karin and Teder-Laving, Maris and Hayward, Caroline and Esko, T{\~o}nu and van Mill, Josine G and Mbarek, Hamdi and Watson, Nathaniel F and Melville, Scott A and Del Greco, Fabiola M and Byrne, Enda M and Oole, Edwin and Kolcic, Ivana and Chen, Ting-Hsu and Evans, Daniel S and Coresh, Josef and Vogelzangs, Nicole and Karjalainen, Juha and Willemsen, Gonneke and Gharib, Sina A and Zgaga, Lina and Mihailov, Evelin and Stone, Katie L and Campbell, Harry and Brouwer, Rutger Ww and Demirkan, Ayse and Isaacs, Aaron and Dogas, Zoran and Marciante, Kristin D and Campbell, Susan and Borovecki, Fran and Luik, Annemarie I and Li, Man and Hottenga, Jouke Jan and Huffman, Jennifer E and van den Hout, Mirjam Cgn and Cummings, Steven R and Aulchenko, Yurii S and Gehrman, Philip R and Uitterlinden, Andr{\'e} G and Wichmann, Heinz-Erich and M{\"u}ller-Nurasyid, Martina and Fehrmann, Rudolf Sn and Montgomery, Grant W and Hofman, Albert and Kao, Wen Hong Linda and Oostra, Ben A and Wright, Alan F and Vink, Jacqueline M and Wilson, James F and Pramstaller, Peter P and Hicks, Andrew A and Polasek, Ozren and Punjabi, Naresh M and Redline, Susan and Psaty, Bruce M and Heath, Andrew C and Merrow, Martha and Tranah, Gregory J and Gottlieb, Daniel J and Boomsma, Dorret I and Martin, Nicholas G and Rudan, Igor and Tiemeier, Henning and van IJcken, Wilfred Fj and Penninx, Brenda W and Metspalu, Andres and Meitinger, Thomas and Franke, Lude and Roenneberg, Till and van Duijn, Cornelia M} } @article {8562, title = {{The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals}, journal = {Nat Genet}, volume = {48}, year = {2016}, month = {10}, pages = {1171{\textendash}1184}, abstract = {To dissect the genetic architecture of blood pressure and assess effects on target organ damage, we analyzed 128,272 SNPs from targeted and genome-wide arrays in 201,529 individuals of European ancestry, and genotypes from an additional 140,886 individuals were used for validation. We identified 66 blood pressure-associated loci, of which 17 were new; 15 harbored multiple distinct association signals. The 66 index SNPs were enriched for cis-regulatory elements, particularly in vascular endothelial cells, consistent with a primary role in blood pressure control through modulation of vascular tone across multiple tissues. The 66 index SNPs combined in a risk score showed comparable effects in 64,421 individuals of non-European descent. The 66-SNP blood pressure risk score was significantly associated with target organ damage in multiple tissues but with minor effects in the kidney. Our findings expand current knowledge of blood pressure-related pathways and highlight tissues beyond the classical renal system in blood pressure regulation.}, author = {Ehret, G. B. and Ferreira, T. and Chasman, D. I. and Jackson, A. U. and Schmidt, E. M. and Johnson, T. and Thorleifsson, G. and Luan, J. and Donnelly, L. A. and Kanoni, S. and Petersen, A. K. and Pihur, V. and Strawbridge, R. J. and Shungin, D. and Hughes, M. F. and Meirelles, O. and Kaakinen, M. and Bouatia-Naji, N. and Kristiansson, K. and Shah, S. and Kleber, M. E. and Guo, X. and Lyytik?inen, L. P. and Fava, C. and Eriksson, N. and Nolte, I. M. and Magnusson, P. K. and Salfati, E. L. and Rallidis, L. S. and Theusch, E. and Smith, A. J. P. and Folkersen, L. and Witkowska, K. and Pers, T. H. and Joehanes, R. and Kim, S. K. and Lataniotis, L. and Jansen, R. and Johnson, A. D. and Warren, H. and Kim, Y. J. and Zhao, W. and Wu, Y. and Tayo, B. O. and Bochud, M. and Absher, D. and Adair, L. S. and Amin, N. and Arking, D. E. and Axelsson, T. and Baldassarre, D. and Balkau, B. and Bandinelli, S. and Barnes, M. R. and Barroso, I. and Bevan, S. and Bis, J. C. and Bjornsdottir, G. and Boehnke, M. and Boerwinkle, E. and Bonnycastle, L. L. and Boomsma, D. I. and Bornstein, S. R. and Brown, M. J. and Burnier, M. and Cabrera, C. P. and Chambers, J. C. and Chang, I. S. and Cheng, C. Y. and Chines, P. S. and Chung, R. H. and Collins, F. S. and Connell, J. M. and D?ring, A. and Dallongeville, J. and Danesh, J. and de Faire, U. and Delgado, G. and Dominiczak, A. F. and Doney, A. S. F. and Drenos, F. and Edkins, S. and Eicher, J. D. and Elosua, R. and Enroth, S. and Erdmann, J. and Eriksson, P. and Esko, T. and Evangelou, E. and Evans, A. and Fall, T. and Farrall, M. and Felix, J. F. and Ferri?res, J. and Ferrucci, L. and Fornage, M. and Forrester, T. and Franceschini, N. and Duran, O. H. F. and Franco-Cereceda, A. and Fraser, R. M. and Ganesh, S. K. and Gao, H. and Gertow, K. and Gianfagna, F. and Gigante, B. and Giulianini, F. and Goel, A. and Goodall, A. H. and Goodarzi, M. O. and Gorski, M. and Gr??ler, J. and Groves, C. and Gudnason, V. and Gyllensten, U. and Hallmans, G. and Hartikainen, A. L. and Hassinen, M. and Havulinna, A. S. and Hayward, C. and Hercberg, S. and Herzig, K. H. and Hicks, A. A. and Hingorani, A. D. and Hirschhorn, J. N. and Hofman, A. and Holmen, J. and Holmen, O. L. and Hottenga, J. J. and Howard, P. and Hsiung, C. A. and Hunt, S. C. and Ikram, M. A. and Illig, T. and Iribarren, C. and Jensen, R. A. and K?h?nen, M. and Kang, H. and Kathiresan, S. and Keating, B. J. and Khaw, K. T. and Kim, Y. K. and Kim, E. and Kivimaki, M. and Klopp, N. and Kolovou, G. and Komulainen, P. and Kooner, J. S. and Kosova, G. and Krauss, R. M. and Kuh, D. and Kutalik, Z. and Kuusisto, J. and Kval?y, K. and Lakka, T. A. and Lee, N. R. and Lee, I. T. and Lee, W. J. and Levy, D. and Li, X. and Liang, K. W. and Lin, H. and Lin, L. and Lindstr?m, J. and Lobbens, S. and M?nnist?, S. and M?ller, G. and M?ller-Nurasyid, M. and Mach, F. and Markus, H. S. and Marouli, E. and McCarthy, M. I. and McKenzie, C. A. and Meneton, P. and Menni, C. and Metspalu, A. and Mijatovic, V. and Moilanen, L. and Montasser, M. E. and Morris, A. D. and Morrison, A. C. and Mulas, A. and Nagaraja, R. and Narisu, N. and Nikus, K. and O{\textquoteright}Donnell, C. J. and O{\textquoteright}Reilly, P. F. and Ong, K. K. and Paccaud, F. and Palmer, C. D. and Parsa, A. and Pedersen, N. L. and Penninx, B. W. and Perola, M. and Peters, A. and Poulter, N. and Pramstaller, P. P. and Psaty, B. M. and Quertermous, T. and Rao, D. C. and Rasheed, A. and Rayner, N. W. N. W. R. and Renstr?m, F. and Rettig, R. and Rice, K. M. and Roberts, R. and Rose, L. M. and Rossouw, J. and Samani, N. J. and Sanna, S. and Saramies, J. and Schunkert, H. and Sebert, S. and Sheu, W. H. and Shin, Y. A. and Sim, X. and Smit, J. H. and Smith, A. V. and Sosa, M. X. and Spector, T. D. and Stan??kov?, A. and Stanton, A. and Stirrups, K. E. and Stringham, H. M. and Sundstrom, J. and Swift, A. J. and Syv?nen, A. C. and Tai, E. S. and Tanaka, T. and Tarasov, K. V. and Teumer, A. and Thorsteinsdottir, U. and Tobin, M. D. and Tremoli, E. and Uitterlinden, A. G. and Uusitupa, M. and Vaez, A. and Vaidya, D. and van Duijn, C. M. and van Iperen, E. P. A. and Vasan, R. S. and Verwoert, G. C. and Virtamo, J. and Vitart, V. and Voight, B. F. and Vollenweider, P. and Wagner, A. and Wain, L. V. and Wareham, N. J. and Watkins, H. and Weder, A. B. and Westra, H. J. and Wilks, R. and Wilsgaard, T. and Wilson, J. F. and Wong, T. Y. and Yang, T. P. and Yao, J. and Yengo, L. and Zhang, W. and Zhao, J. H. and Zhu, X. and Bovet, P. and Cooper, R. S. and Mohlke, K. L. and Saleheen, D. and Lee, J. Y. and Elliott, P. and Gierman, H. J. and Willer, C. J. and Franke, L. and Hovingh, G. K. and Taylor, K. D. and Dedoussis, G. and Sever, P. and Wong, A. and Lind, L. and Assimes, T. L. and Nj?lstad, I. and Schwarz, P. E. and Langenberg, C. and Snieder, H. and Caulfield, M. J. and Melander, O. and Laakso, M. and Saltevo, J. and Rauramaa, R. and Tuomilehto, J. and Ingelsson, E. and Lehtim?ki, T. and Hveem, K. and Palmas, W. and M?rz, W. and Kumari, M. and Salomaa, V. and Chen, Y. I. and Rotter, J. I. and Froguel, P. and Jarvelin, M. R. and Lakatta, E. G. and Kuulasmaa, K. and Franks, P. W. and Hamsten, A. and Wichmann, H. E. and Palmer, C. N. A. and Stefansson, K. and Ridker, P. M. and Loos, R. J. F. and Chakravarti, A. and Deloukas, P. and Morris, A. P. and Newton-Cheh, C. and Munroe, P. B.} } @article {6991, title = {Genome-Wide Association Analysis of Young-Onset Stroke Identifies a Locus on Chromosome 10q25 Near HABP2.}, journal = {Stroke}, volume = {47}, year = {2016}, month = {2016 Feb}, pages = {307-16}, abstract = {

BACKGROUND AND PURPOSE: Although a genetic contribution to ischemic stroke is well recognized, only a handful of stroke loci have been identified by large-scale genetic association studies to date. Hypothesizing that genetic effects might be stronger for early- versus late-onset stroke, we conducted a 2-stage meta-analysis of genome-wide association studies, focusing on stroke cases with an age of onset <60 years.

METHODS: The discovery stage of our genome-wide association studies included 4505 cases and 21 968 controls of European, South-Asian, and African ancestry, drawn from 6 studies. In Stage 2, we selected the lead genetic variants at loci with association P<5{\texttimes}10(-6) and performed in silico association analyses in an independent sample of <=1003 cases and 7745 controls.

RESULTS: One stroke susceptibility locus at 10q25 reached genome-wide significance in the combined analysis of all samples from the discovery and follow-up stages (rs11196288; odds ratio =1.41; P=9.5{\texttimes}10(-9)). The associated locus is in an intergenic region between TCF7L2 and HABP2. In a further analysis in an independent sample, we found that 2 single nucleotide polymorphisms in high linkage disequilibrium with rs11196288 were significantly associated with total plasma factor VII-activating protease levels, a product of HABP2.

CONCLUSIONS: HABP2, which encodes an extracellular serine protease involved in coagulation, fibrinolysis, and inflammatory pathways, may be a genetic susceptibility locus for early-onset stroke.

}, keywords = {Adult, African Continental Ancestry Group, Age of Onset, Aged, Asian Continental Ancestry Group, Brain Ischemia, Chromosomes, Human, Pair 10, Computer Simulation, DNA, Intergenic, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Serine Endopeptidases, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.115.011328}, author = {Cheng, Yu-Ching and Stanne, Tara M and Giese, Anne-Katrin and Ho, Weang Kee and Traylor, Matthew and Amouyel, Philippe and Holliday, Elizabeth G and Malik, Rainer and Xu, Huichun and Kittner, Steven J and Cole, John W and O{\textquoteright}Connell, Jeffrey R and Danesh, John and Rasheed, Asif and Zhao, Wei and Engelter, Stefan and Grond-Ginsbach, Caspar and Kamatani, Yoichiro and Lathrop, Mark and Leys, Didier and Thijs, Vincent and Metso, Tiina M and Tatlisumak, Turgut and Pezzini, Alessandro and Parati, Eugenio A and Norrving, Bo and Bevan, Steve and Rothwell, Peter M and Sudlow, Cathie and Slowik, Agnieszka and Lindgren, Arne and Walters, Matthew R and Jannes, Jim and Shen, Jess and Crosslin, David and Doheny, Kimberly and Laurie, Cathy C and Kanse, Sandip M and Bis, Joshua C and Fornage, Myriam and Mosley, Thomas H and Hopewell, Jemma C and Strauch, Konstantin and M{\"u}ller-Nurasyid, Martina and Gieger, Christian and Waldenberger, Melanie and Peters, Annette and Meisinger, Christine and Ikram, M Arfan and Longstreth, W T and Meschia, James F and Seshadri, Sudha and Sharma, Pankaj and Worrall, Bradford and Jern, Christina and Levi, Christopher and Dichgans, Martin and Boncoraglio, Giorgio B and Markus, Hugh S and Debette, Stephanie and Rolfs, Arndt and Saleheen, Danish and Mitchell, Braxton D} } @article {7004, title = {Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium.}, journal = {PLoS One}, volume = {11}, year = {2016}, month = {2016}, pages = {e0144997}, abstract = {

BACKGROUND: Data are limited on genome-wide association studies (GWAS) for incident coronary heart disease (CHD). Moreover, it is not known whether genetic variants identified to date also associate with risk of CHD in a prospective setting.

METHODS: We performed a two-stage GWAS analysis of incident myocardial infarction (MI) and CHD in a total of 64,297 individuals (including 3898 MI cases, 5465 CHD cases). SNPs that passed an arbitrary threshold of 5{\texttimes}10-6 in Stage I were taken to Stage II for further discovery. Furthermore, in an analysis of prognosis, we studied whether known SNPs from former GWAS were associated with total mortality in individuals who experienced MI during follow-up.

RESULTS: In Stage I 15 loci passed the threshold of 5{\texttimes}10-6; 8 loci for MI and 8 loci for CHD, for which one locus overlapped and none were reported in previous GWAS meta-analyses. We took 60 SNPs representing these 15 loci to Stage II of discovery. Four SNPs near QKI showed nominally significant association with MI (p-value<8.8{\texttimes}10-3) and three exceeded the genome-wide significance threshold when Stage I and Stage II results were combined (top SNP rs6941513: p = 6.2{\texttimes}10-9). Despite excellent power, the 9p21 locus SNP (rs1333049) was only modestly associated with MI (HR = 1.09, p-value = 0.02) and marginally with CHD (HR = 1.06, p-value = 0.08). Among an inception cohort of those who experienced MI during follow-up, the risk allele of rs1333049 was associated with a decreased risk of subsequent mortality (HR = 0.90, p-value = 3.2{\texttimes}10-3).

CONCLUSIONS: QKI represents a novel locus that may serve as a predictor of incident CHD in prospective studies. The association of the 9p21 locus both with increased risk of first myocardial infarction and longer survival after MI highlights the importance of study design in investigating genetic determinants of complex disorders.

}, keywords = {Aged, Cohort Studies, Cooperative Behavior, Coronary Artery Disease, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Myocardial Infarction, Polymorphism, Single Nucleotide, Prospective Studies}, issn = {1932-6203}, doi = {10.1371/journal.pone.0144997}, author = {Dehghan, Abbas and Bis, Joshua C and White, Charles C and Smith, Albert Vernon and Morrison, Alanna C and Cupples, L Adrienne and Trompet, Stella and Chasman, Daniel I and Lumley, Thomas and V{\"o}lker, Uwe and Buckley, Brendan M and Ding, Jingzhong and Jensen, Majken K and Folsom, Aaron R and Kritchevsky, Stephen B and Girman, Cynthia J and Ford, Ian and D{\"o}rr, Marcus and Salomaa, Veikko and Uitterlinden, Andr{\'e} G and Eiriksdottir, Gudny and Vasan, Ramachandran S and Franceschini, Nora and Carty, Cara L and Virtamo, Jarmo and Demissie, Serkalem and Amouyel, Philippe and Arveiler, Dominique and Heckbert, Susan R and Ferrieres, Jean and Ducimetiere, Pierre and Smith, Nicholas L and Wang, Ying A and Siscovick, David S and Rice, Kenneth M and Wiklund, Per-Gunnar and Taylor, Kent D and Evans, Alun and Kee, Frank and Rotter, Jerome I and Karvanen, Juha and Kuulasmaa, Kari and Heiss, Gerardo and Kraft, Peter and Launer, Lenore J and Hofman, Albert and Markus, Marcello R P and Rose, Lynda M and Silander, Kaisa and Wagner, Peter and Benjamin, Emelia J and Lohman, Kurt and Stott, David J and Rivadeneira, Fernando and Harris, Tamara B and Levy, Daniel and Liu, Yongmei and Rimm, Eric B and Jukema, J Wouter and V{\"o}lzke, Henry and Ridker, Paul M and Blankenberg, Stefan and Franco, Oscar H and Gudnason, Vilmundur and Psaty, Bruce M and Boerwinkle, Eric and O{\textquoteright}Donnell, Christopher J} } @article {7167, title = {Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci.}, journal = {Diabetes}, volume = {65}, year = {2016}, month = {2016 Oct}, pages = {3200-11}, abstract = {

Genome-wide association studies (GWAS) have found few common variants that influence fasting measures of insulin sensitivity. We hypothesized that a GWAS of an integrated assessment of fasting and dynamic measures of insulin sensitivity would detect novel common variants. We performed a GWAS of the modified Stumvoll Insulin Sensitivity Index (ISI) within the Meta-Analyses of Glucose and Insulin-Related Traits Consortium. Discovery for genetic association was performed in 16,753 individuals, and replication was attempted for the 23 most significant novel loci in 13,354 independent individuals. Association with ISI was tested in models adjusted for age, sex, and BMI and in a model analyzing the combined influence of the genotype effect adjusted for BMI and the interaction effect between the genotype and BMI on ISI (model 3). In model 3, three variants reached genome-wide significance: rs13422522 (NYAP2; P = 8.87 {\texttimes} 10(-11)), rs12454712 (BCL2; P = 2.7 {\texttimes} 10(-8)), and rs10506418 (FAM19A2; P = 1.9 {\texttimes} 10(-8)). The association at NYAP2 was eliminated by conditioning on the known IRS1 insulin sensitivity locus; the BCL2 and FAM19A2 associations were independent of known cardiometabolic loci. In conclusion, we identified two novel loci and replicated known variants associated with insulin sensitivity. Further studies are needed to clarify the causal variant and function at the BCL2 and FAM19A2 loci.

}, issn = {1939-327X}, doi = {10.2337/db16-0199}, author = {Walford, Geoffrey A and Gustafsson, Stefan and Rybin, Denis and Stan{\v c}{\'a}kov{\'a}, Alena and Chen, Han and Liu, Ching-Ti and Hong, Jaeyoung and Jensen, Richard A and Rice, Ken and Morris, Andrew P and M{\"a}gi, Reedik and T{\"o}njes, Anke and Prokopenko, Inga and Kleber, Marcus E and Delgado, Graciela and Silbernagel, G{\"u}nther and Jackson, Anne U and Appel, Emil V and Grarup, Niels and Lewis, Joshua P and Montasser, May E and Landenvall, Claes and Staiger, Harald and Luan, Jian{\textquoteright}an and Frayling, Timothy M and Weedon, Michael N and Xie, Weijia and Morcillo, Sonsoles and Mart{\'\i}nez-Larrad, Mar{\'\i}a Teresa and Biggs, Mary L and Chen, Yii-Der Ida and Corbaton-Anchuelo, Arturo and F{\ae}rch, Kristine and G{\'o}mez-Zumaquero, Juan Miguel and Goodarzi, Mark O and Kizer, Jorge R and Koistinen, Heikki A and Leong, Aaron and Lind, Lars and Lindgren, Cecilia and Machicao, Fausto and Manning, Alisa K and Mart{\'\i}n-N{\'u}{\~n}ez, Gracia Mar{\'\i}a and Rojo-Mart{\'\i}nez, Gemma and Rotter, Jerome I and Siscovick, David S and Zmuda, Joseph M and Zhang, Zhongyang and Serrano-R{\'\i}os, Manuel and Smith, Ulf and Soriguer, Federico and Hansen, Torben and J{\o}rgensen, Torben J and Linnenberg, Allan and Pedersen, Oluf and Walker, Mark and Langenberg, Claudia and Scott, Robert A and Wareham, Nicholas J and Fritsche, Andreas and H{\"a}ring, Hans-Ulrich and Stefan, Norbert and Groop, Leif and O{\textquoteright}Connell, Jeff R and Boehnke, Michael and Bergman, Richard N and Collins, Francis S and Mohlke, Karen L and Tuomilehto, Jaakko and M{\"a}rz, Winfried and Kovacs, Peter and Stumvoll, Michael and Psaty, Bruce M and Kuusisto, Johanna and Laakso, Markku and Meigs, James B and Dupuis, Jos{\'e}e and Ingelsson, Erik and Florez, Jose C} } @article {7147, title = {Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits.}, journal = {Aging Cell}, volume = {15}, year = {2016}, month = {2016 Oct}, pages = {811-24}, abstract = {

The growth hormone/insulin-like growth factor (IGF) axis can be manipulated in animal models to promote longevity, and IGF-related proteins including IGF-I and IGF-binding protein-3 (IGFBP-3) have also been implicated in risk of human diseases including cardiovascular diseases, diabetes, and cancer. Through genomewide association study of up to 30~884 adults of European ancestry from 21 studies, we confirmed and extended the list of previously identified loci associated with circulating IGF-I and IGFBP-3 concentrations (IGF1, IGFBP3, GCKR, TNS3, GHSR, FOXO3, ASXL2, NUBP2/IGFALS, SORCS2, and CELSR2). Significant sex interactions, which were characterized by different genotype-phenotype associations between men and women, were found only for associations of IGFBP-3 concentrations with SNPs at the loci IGFBP3 and SORCS2. Analyses of SNPs, gene expression, and protein levels suggested that interplay between IGFBP3 and genes within the NUBP2 locus (IGFALS and HAGH) may affect circulating IGF-I and IGFBP-3 concentrations. The IGF-I-decreasing allele of SNP rs934073, which is an eQTL of ASXL2, was associated with lower adiposity and higher likelihood of survival beyond 90~years. The known longevity-associated variant rs2153960 (FOXO3) was observed to be a genomewide significant SNP for IGF-I concentrations. Bioinformatics analysis suggested enrichment of putative regulatory elements among these IGF-I- and IGFBP-3-associated loci, particularly of rs646776 at CELSR2. In conclusion, this study identified several loci associated with circulating IGF-I and IGFBP-3 concentrations and provides clues to the potential role of the IGF axis in mediating effects of known (FOXO3) and novel (ASXL2) longevity-associated loci.

}, issn = {1474-9726}, doi = {10.1111/acel.12490}, author = {Teumer, Alexander and Qi, Qibin and Nethander, Maria and Aschard, Hugues and Bandinelli, Stefania and Beekman, Marian and Berndt, Sonja I and Bidlingmaier, Martin and Broer, Linda and Cappola, Anne and Ceda, Gian Paolo and Chanock, Stephen and Chen, Ming-Huei and Chen, Tai C and Chen, Yii-Der Ida and Chung, Jonathan and Del Greco Miglianico, Fabiola and Eriksson, Joel and Ferrucci, Luigi and Friedrich, Nele and Gnewuch, Carsten and Goodarzi, Mark O and Grarup, Niels and Guo, Tingwei and Hammer, Elke and Hayes, Richard B and Hicks, Andrew A and Hofman, Albert and Houwing-Duistermaat, Jeanine J and Hu, Frank and Hunter, David J and Husemoen, Lise L and Isaacs, Aaron and Jacobs, Kevin B and Janssen, Joop A M J L and Jansson, John-Olov and Jehmlich, Nico and Johnson, Simon and Juul, Anders and Karlsson, Magnus and Kilpel{\"a}inen, Tuomas O and Kovacs, Peter and Kraft, Peter and Li, Chao and Linneberg, Allan and Liu, Yongmei and Loos, Ruth J F and Lorentzon, Mattias and Lu, Yingchang and Maggio, Marcello and M{\"a}gi, Reedik and Meigs, James and Mellstr{\"o}m, Dan and Nauck, Matthias and Newman, Anne B and Pollak, Michael N and Pramstaller, Peter P and Prokopenko, Inga and Psaty, Bruce M and Reincke, Martin and Rimm, Eric B and Rotter, Jerome I and Saint Pierre, Aude and Schurmann, Claudia and Seshadri, Sudha and Sj{\"o}gren, Klara and Slagboom, P Eline and Strickler, Howard D and Stumvoll, Michael and Suh, Yousin and Sun, Qi and Zhang, Cuilin and Svensson, Johan and Tanaka, Toshiko and Tare, Archana and T{\"o}njes, Anke and Uh, Hae-Won and van Duijn, Cornelia M and van Heemst, Diana and Vandenput, Liesbeth and Vasan, Ramachandran S and V{\"o}lker, Uwe and Willems, Sara M and Ohlsson, Claes and Wallaschofski, Henri and Kaplan, Robert C} } @article {6799, title = {GWAS for executive function and processing speed suggests involvement of the CADM2 gene.}, journal = {Mol Psychiatry}, volume = {21}, year = {2016}, month = {2016 Feb}, pages = {189-97}, abstract = {

To identify common variants contributing to normal variation in two specific domains of cognitive functioning, we conducted a genome-wide association study (GWAS) of executive functioning and information processing speed in non-demented older adults from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium. Neuropsychological testing was available for 5429-32,070 subjects of European ancestry aged 45 years or older, free of dementia and clinical stroke at the time of cognitive testing from 20 cohorts in the discovery phase. We analyzed performance on the Trail Making Test parts A and B, the Letter Digit Substitution Test (LDST), the Digit Symbol Substitution Task (DSST), semantic and phonemic fluency tests, and the Stroop Color and Word Test. Replication was sought in 1311-21860 subjects from 20 independent cohorts. A significant association was observed in the discovery cohorts for the single-nucleotide polymorphism (SNP) rs17518584 (discovery P-value=3.12 {\texttimes} 10(-8)) and in the joint discovery and replication meta-analysis (P-value=3.28 {\texttimes} 10(-9) after adjustment for age, gender and education) in an intron of the gene cell adhesion molecule 2 (CADM2) for performance on the LDST/DSST. Rs17518584 is located about 170 kb upstream of the transcription start site of the major transcript for the CADM2 gene, but is within an intron of a variant transcript that includes an alternative first exon. The variant is associated with expression of CADM2 in the cingulate cortex (P-value=4 {\texttimes} 10(-4)). The protein encoded by CADM2 is involved in glutamate signaling (P-value=7.22 {\texttimes} 10(-15)), gamma-aminobutyric acid (GABA) transport (P-value=1.36 {\texttimes} 10(-11)) and neuron cell-cell adhesion (P-value=1.48 {\texttimes} 10(-13)). Our findings suggest that genetic variation in the CADM2 gene is associated with individual differences in information processing speed.

}, issn = {1476-5578}, doi = {10.1038/mp.2015.37}, author = {Ibrahim-Verbaas, C A and Bressler, J and Debette, S and Schuur, M and Smith, A V and Bis, J C and Davies, G and Trompet, S and Smith, J A and Wolf, C and Chibnik, L B and Liu, Y and Vitart, V and Kirin, M and Petrovic, K and Polasek, O and Zgaga, L and Fawns-Ritchie, C and Hoffmann, P and Karjalainen, J and Lahti, J and Llewellyn, D J and Schmidt, C O and Mather, K A and Chouraki, V and Sun, Q and Resnick, S M and Rose, L M and Oldmeadow, C and Stewart, M and Smith, B H and Gudnason, V and Yang, Q and Mirza, S S and Jukema, J W and deJager, P L and Harris, T B and Liewald, D C and Amin, N and Coker, L H and Stegle, O and Lopez, O L and Schmidt, R and Teumer, A and Ford, I and Karbalai, N and Becker, J T and Jonsdottir, M K and Au, R and Fehrmann, R S N and Herms, S and Nalls, M and Zhao, W and Turner, S T and Yaffe, K and Lohman, K and van Swieten, J C and Kardia, S L R and Knopman, D S and Meeks, W M and Heiss, G and Holliday, E G and Schofield, P W and Tanaka, T and Stott, D J and Wang, J and Ridker, P and Gow, A J and Pattie, A and Starr, J M and Hocking, L J and Armstrong, N J and McLachlan, S and Shulman, J M and Pilling, L C and Eiriksdottir, G and Scott, R J and Kochan, N A and Palotie, A and Hsieh, Y-C and Eriksson, J G and Penman, A and Gottesman, R F and Oostra, B A and Yu, L and DeStefano, A L and Beiser, A and Garcia, M and Rotter, J I and N{\"o}then, M M and Hofman, A and Slagboom, P E and Westendorp, R G J and Buckley, B M and Wolf, P A and Uitterlinden, A G and Psaty, B M and Grabe, H J and Bandinelli, S and Chasman, D I and Grodstein, F and R{\"a}ikk{\"o}nen, K and Lambert, J-C and Porteous, D J and Price, J F and Sachdev, P S and Ferrucci, L and Attia, J R and Rudan, I and Hayward, C and Wright, A F and Wilson, J F and Cichon, S and Franke, L and Schmidt, H and Ding, J and de Craen, A J M and Fornage, M and Bennett, D A and Deary, I J and Ikram, M A and Launer, L J and Fitzpatrick, A L and Seshadri, S and van Duijn, C M and Mosley, T H} } @article {7166, title = {Impact of genetic variants on the upstream efficacy of renin-angiotensin system inhibitors for the prevention of atrial fibrillation.}, journal = {Am Heart J}, volume = {175}, year = {2016}, month = {2016 May}, pages = {9-17}, abstract = {

BACKGROUND: Renin-angiotensin system (RAS) inhibition via angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers may reduce the risk of developing atrial fibrillation (AF) in certain populations, but the evidence is conflicting. Recent genome-wide association studies have identified several single nucleotide polymorphisms (SNPs) associated with AF, potentially identifying clinically relevant subtypes of the disease. We sought to investigate the impact of carrier status of 9 AF-associated SNPs on the efficacy of RAS inhibition for the primary prevention of AF.

METHODS: We performed SNP-RAS inhibitor interaction testing with unadjusted and adjusted Cox proportional hazards models using a discovery (Cardiovascular Health Study) and a replication (Atherosclerosis Risk in Communities) cohort. Additive genetic models were used for the SNP analyses, and 2-tailed P values <.05 were considered statistically significant.

RESULTS: Among 2,796 Cardiovascular Health Study participants, none of the 9 a priori identified candidate SNPs exhibited a significant SNP-drug interaction. Two of the 9 SNPs, rs2106261 (16q22) and rs6666258 (1q21), revealed interaction relationships that neared statistical significance (with point estimates in the same direction for angiotensin-converting enzyme inhibitor only and angiotensin II receptor blocker only analyses), but neither association could be replicated among 8,604 participants in Atherosclerosis Risk in Communities.

CONCLUSIONS: Our study failed to identify AF-associated SNP genetic subtypes of AF that derive increased benefit from upstream RAS inhibition for AF prevention. Future studies should continue to investigate the impact of genotype on the response to AF treatment strategies in an effort to develop personalized approaches to therapy and prevention.

}, issn = {1097-6744}, doi = {10.1016/j.ahj.2016.02.002}, author = {Roberts, Jason D and Dewland, Thomas A and Glidden, David V and Hoffmann, Thomas J and Arking, Dan E and Chen, Lin Y and Psaty, Bruce M and Olgin, Jeffrey E and Alonso, Alvaro and Heckbert, Susan R and Marcus, Gregory M} } @article {7002, title = {Incident Atrial Fibrillation and Disability-Free Survival in the Cardiovascular Health Study.}, journal = {J Am Geriatr Soc}, volume = {64}, year = {2016}, month = {2016 Apr}, pages = {838-43}, abstract = {

OBJECTIVES: To assess the associations between incident atrial fibrillation (AF) and disability-free survival and risk of disability.

DESIGN: Prospective cohort study.

SETTING: Cardiovascular Health Study.

PARTICIPANTS: Individuals aged 65 and older and enrolled in fee-for-service Medicare followed between 1991 and 2009 (MN = 4,046). Individuals with prevalent AF, activity of daily living (ADL) disability, or a history of stroke or heart failure at baseline were excluded.

MEASUREMENTS: Incident AF was identified according to annual study electrocardiogram, hospital discharge diagnosis, or Medicare claims. Disability-free survival was defined as survival free of ADL disability (any difficulty or inability in bathing, dressing, eating, using the toilet, walking around the home, or getting out of a bed or chair). ADLs were assessed at annual study visits or in a telephone interview. Association between incident AF and disability-free survival or risk of disability was estimated using Cox proportional hazards models.

RESULTS: Over an average of 7.0 years of follow-up, 660 individuals (16.3\%) developed incident AF, and 3,112 (77\%) became disabled or died. Incident AF was associated with shorter disability-free survival (hazard ratio (HR) for death or ADL disability = 1.71, 95\% confidence interval (CI) = 1.55-1.90) and a higher risk of ADL disability (HR = 1.36, 95\% CI = 1.18-1.58) than in individuals with no history of AF. This association persisted after adjustment for interim stroke and heart failure.

CONCLUSION: These results suggest that AF is a risk factor for shorter functional longevity in older adults, independent of other risk factors and comorbid conditions.

}, keywords = {Activities of Daily Living, Aged, Aged, 80 and over, Atrial Fibrillation, Disability Evaluation, Electrocardiography, Female, Geriatric Assessment, Humans, Incidence, Longevity, Longitudinal Studies, Male, Medicare, Prevalence, Prospective Studies, Survival Rate, United States}, issn = {1532-5415}, doi = {10.1111/jgs.14037}, author = {Wallace, Erin R and Siscovick, David S and Sitlani, Colleen M and Dublin, Sascha and Mitchell, Pamela H and Odden, Michelle C and Hirsch, Calvin H and Thielke, Stephen and Heckbert, Susan R} } @article {6612, title = {Inflammatory markers and extent and progression of early atherosclerosis: Meta-analysis of individual-participant-data from 20 prospective studies of the PROG-IMT collaboration.}, journal = {Eur J Prev Cardiol}, volume = {23}, year = {2016}, month = {2016 Jan}, pages = {194-205}, abstract = {

BACKGROUND: Large-scale epidemiological evidence on the role of inflammation in early atherosclerosis, assessed by carotid ultrasound, is lacking. We aimed to quantify cross-sectional and longitudinal associations of inflammatory markers with common-carotid-artery intima-media thickness (CCA-IMT) in the general population.

METHODS: Information on high-sensitivity C-reactive protein, fibrinogen, leucocyte count and CCA-IMT was available in 20 prospective cohort studies of the PROG-IMT collaboration involving 49,097 participants free of pre-existing cardiovascular disease. Estimates of associations were calculated within each study and then combined using random-effects meta-analyses.

RESULTS: Mean baseline CCA-IMT amounted to 0.74 mm (SD = 0.18) and mean CCA-IMT progression over a mean of 3.9 years to 0.011 mm/year (SD = 0.039). Cross-sectional analyses showed positive linear associations between inflammatory markers and baseline CCA-IMT. After adjustment for traditional cardiovascular risk factors, mean differences in baseline CCA-IMT per one-SD higher inflammatory marker were: 0.0082 mm for high-sensitivity C-reactive protein (p < 0.001); 0.0072 mm for fibrinogen (p < 0.001); and 0.0025 mm for leucocyte count (p = 0.033). {\textquoteright}Inflammatory load{\textquoteright}, defined as the number of elevated inflammatory markers (i.e. in upper two quintiles), showed a positive linear association with baseline CCA-IMT (p < 0.001). Longitudinal associations of baseline inflammatory markers and changes therein with CCA-IMT progression were null or at most weak. Participants with the highest {\textquoteright}inflammatory load{\textquoteright} had a greater CCA-IMT progression (p = 0.015).

CONCLUSION: Inflammation was independently associated with CCA-IMT cross-sectionally. The lack of clear associations with CCA-IMT progression may be explained by imprecision in its assessment within a limited time period. Our findings for {\textquoteright}inflammatory load{\textquoteright} suggest important combined effects of the three inflammatory markers on early atherosclerosis.

}, issn = {2047-4881}, doi = {10.1177/2047487314560664}, author = {Willeit, Peter and Thompson, Simon G and Agewall, Stefan and Bergstr{\"o}m, G{\"o}ran and Bickel, Horst and Catapano, Alberico L and Chien, Kuo-Liong and de Groot, Eric and Empana, Jean-Philippe and Etgen, Thorleif and Franco, Oscar H and Iglseder, Bernhard and Johnsen, Stein H and Kavousi, Maryam and Lind, Lars and Liu, Jing and Mathiesen, Ellisiv B and Norata, Giuseppe D and Olsen, Michael H and Papagianni, Aikaterini and Poppert, Holger and Price, Jackie F and Sacco, Ralph L and Yanez, David N and Zhao, Dong and Schminke, Ulf and B{\"u}lb{\"u}l, Alpaslan and Polak, Joseph F and Sitzer, Matthias and Hofman, Albert and Grigore, Liliana and D{\"o}rr, Marcus and Su, Ta-Chen and Ducimetiere, Pierre and Xie, Wuxiang and Ronkainen, Kimmo and Kiechl, Stefan and Rundek, Tatjana and Robertson, Christine and Fagerberg, Bj{\"o}rn and Bokemark, Lena and Steinmetz, Helmuth and Ikram, M Arfan and V{\"o}lzke, Henry and Lin, Hung-Ju and Plichart, Matthieu and Tuomainen, Tomi-Pekka and Desvarieux, Mo{\"\i}se and McLachlan, Stela and Schmidt, Caroline and Kauhanen, Jussi and Willeit, Johann and Lorenz, Matthias W and Sander, Dirk} } @article {6951, title = {Interaction of methylation-related genetic variants with circulating fatty acids on plasma lipids: a meta-analysis of 7 studies and methylation analysis of 3 studies in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium.}, journal = {Am J Clin Nutr}, volume = {103}, year = {2016}, month = {2016 Feb}, pages = {567-78}, abstract = {

BACKGROUND: DNA methylation is influenced by diet and single nucleotide polymorphisms (SNPs), and methylation modulates gene expression.

OBJECTIVE: We aimed to explore whether the gene-by-diet interactions on blood lipids act through DNA methylation.

DESIGN: We selected 7 SNPs on the basis of predicted relations in fatty acids, methylation, and lipids. We conducted a meta-analysis and a methylation and mediation analysis with the use of data from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium and the ENCODE (Encyclopedia of DNA Elements) consortium.

RESULTS: On the basis of the meta-analysis of 7 cohorts in the CHARGE consortium, higher plasma HDL cholesterol was associated with fewer C alleles at ATP-binding cassette subfamily A member 1 (ABCA1) rs2246293 (β = -0.6 mg/dL, P = 0.015) and higher circulating eicosapentaenoic acid (EPA) (β = 3.87 mg/dL, P = 5.62 {\texttimes} 10(21)). The difference in HDL cholesterol associated with higher circulating EPA was dependent on genotypes at rs2246293, and it was greater for each additional C allele (β = 1.69 mg/dL, P = 0.006). In the GOLDN (Genetics of Lipid Lowering Drugs and Diet Network) study, higher ABCA1 promoter cg14019050 methylation was associated with more C alleles at rs2246293 (β = 8.84\%, P = 3.51 {\texttimes} 10(18)) and lower circulating EPA (β = -1.46\%, P = 0.009), and the mean difference in methylation of cg14019050 that was associated with higher EPA was smaller with each additional C allele of rs2246293 (β = -2.83\%, P = 0.007). Higher ABCA1 cg14019050 methylation was correlated with lower ABCA1 expression (r = -0.61, P = 0.009) in the ENCODE consortium and lower plasma HDL cholesterol in the GOLDN study (r = -0.12, P = 0.0002). An additional mediation analysis was meta-analyzed across the GOLDN study, Cardiovascular Health Study, and the Multi-Ethnic Study of Atherosclerosis. Compared with the model without the adjustment of cg14019050 methylation, the model with such adjustment provided smaller estimates of the mean plasma HDL cholesterol concentration in association with both the rs2246293 C allele and EPA and a smaller difference by rs2246293 genotypes in the EPA-associated HDL cholesterol. However, the differences between 2 nested models were NS (P > 0.05).

CONCLUSION: We obtained little evidence that the gene-by-fatty acid interactions on blood lipids act through DNA methylation.

}, keywords = {Apolipoproteins E, ATP Binding Cassette Transporter 1, Cholesterol, HDL, Cohort Studies, Diet, DNA Methylation, Eicosapentaenoic Acid, Epigenesis, Genetic, Fatty Acids, Gene Expression Regulation, Humans, Lipids, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, Triglycerides}, issn = {1938-3207}, doi = {10.3945/ajcn.115.112987}, author = {Ma, Yiyi and Follis, Jack L and Smith, Caren E and Tanaka, Toshiko and Manichaikul, Ani W and Chu, Audrey Y and Samieri, Cecilia and Zhou, Xia and Guan, Weihua and Wang, Lu and Biggs, Mary L and Chen, Yii-der I and Hernandez, Dena G and Borecki, Ingrid and Chasman, Daniel I and Rich, Stephen S and Ferrucci, Luigi and Irvin, Marguerite Ryan and Aslibekyan, Stella and Zhi, Degui and Tiwari, Hemant K and Claas, Steven A and Sha, Jin and Kabagambe, Edmond K and Lai, Chao-Qiang and Parnell, Laurence D and Lee, Yu-Chi and Amouyel, Philippe and Lambert, Jean-Charles and Psaty, Bruce M and King, Irena B and Mozaffarian, Dariush and McKnight, Barbara and Bandinelli, Stefania and Tsai, Michael Y and Ridker, Paul M and Ding, Jingzhong and Mstat, Kurt Lohmant and Liu, Yongmei and Sotoodehnia, Nona and Barberger-Gateau, Pascale and Steffen, Lyn M and Siscovick, David S and Absher, Devin and Arnett, Donna K and Ordovas, Jose M and Lemaitre, Rozenn N} } @article {7256, title = {KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference.}, journal = {Proc Natl Acad Sci U S A}, volume = {113}, year = {2016}, month = {2016 Dec 13}, pages = {14372-14377}, abstract = {

Excessive alcohol consumption is a major public health problem worldwide. Although drinking habits are known to be inherited, few genes have been identified that are robustly linked to alcohol drinking. We conducted a genome-wide association metaanalysis and replication study among >105,000 individuals of European ancestry and identified β-Klotho (KLB) as a locus associated with alcohol consumption (rs11940694; P = 9.2 {\texttimes} 10(-12)). β-Klotho is an obligate coreceptor for the hormone FGF21, which is secreted from the liver and implicated in macronutrient preference in humans. We show that brain-specific β-Klotho KO mice have an increased alcohol preference and that FGF21 inhibits alcohol drinking by acting on the brain. These data suggest that a liver-brain endocrine axis may play an important role in the regulation of alcohol drinking behavior and provide a unique pharmacologic target for reducing alcohol consumption.

}, issn = {1091-6490}, doi = {10.1073/pnas.1611243113}, author = {Schumann, Gunter and Liu, Chunyu and O{\textquoteright}Reilly, Paul and Gao, He and Song, Parkyong and Xu, Bing and Ruggeri, Barbara and Amin, Najaf and Jia, Tianye and Preis, Sarah and Segura Lepe, Marcelo and Akira, Shizuo and Barbieri, Caterina and Baumeister, Sebastian and Cauchi, Stephane and Clarke, Toni-Kim and Enroth, Stefan and Fischer, Krista and H{\"a}llfors, Jenni and Harris, Sarah E and Hieber, Saskia and Hofer, Edith and Hottenga, Jouke-Jan and Johansson, Asa and Joshi, Peter K and Kaartinen, Niina and Laitinen, Jaana and Lemaitre, Rozenn and Loukola, Anu and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Mangino, Massimo and Manichaikul, Ani and Mbarek, Hamdi and Milaneschi, Yuri and Moayyeri, Alireza and Mukamal, Kenneth and Nelson, Christopher and Nettleton, Jennifer and Partinen, Eemil and Rawal, Rajesh and Robino, Antonietta and Rose, Lynda and Sala, Cinzia and Satoh, Takashi and Schmidt, Reinhold and Schraut, Katharina and Scott, Robert and Smith, Albert Vernon and Starr, John M and Teumer, Alexander and Trompet, Stella and Uitterlinden, Andr{\'e} G and Venturini, Cristina and Vergnaud, Anne-Claire and Verweij, Niek and Vitart, Veronique and Vuckovic, Dragana and Wedenoja, Juho and Yengo, Loic and Yu, Bing and Zhang, Weihua and Zhao, Jing Hua and Boomsma, Dorret I and Chambers, John and Chasman, Daniel I and Daniela, Toniolo and de Geus, Eco and Deary, Ian and Eriksson, Johan G and Esko, T{\~o}nu and Eulenburg, Volker and Franco, Oscar H and Froguel, Philippe and Gieger, Christian and Grabe, Hans J and Gudnason, Vilmundur and Gyllensten, Ulf and Harris, Tamara B and Hartikainen, Anna-Liisa and Heath, Andrew C and Hocking, Lynne and Hofman, Albert and Huth, Cornelia and Jarvelin, Marjo-Riitta and Jukema, J Wouter and Kaprio, Jaakko and Kooner, Jaspal S and Kutalik, Zolt{\'a}n and Lahti, Jari and Langenberg, Claudia and Lehtim{\"a}ki, Terho and Liu, Yongmei and Madden, Pamela A F and Martin, Nicholas and Morrison, Alanna and Penninx, Brenda and Pirastu, Nicola and Psaty, Bruce and Raitakari, Olli and Ridker, Paul and Rose, Richard and Rotter, Jerome I and Samani, Nilesh J and Schmidt, Helena and Spector, Tim D and Stott, David and Strachan, David and Tzoulaki, Ioanna and van der Harst, Pim and van Duijn, Cornelia M and Marques-Vidal, Pedro and Vollenweider, Peter and Wareham, Nicholas J and Whitfield, John B and Wilson, James and Wolffenbuttel, Bruce and Bakalkin, Georgy and Evangelou, Evangelos and Liu, Yun and Rice, Kenneth M and Desrivi{\`e}res, Sylvane and Kliewer, Steven A and Mangelsdorf, David J and M{\"u}ller, Christian P and Levy, Daniel and Elliott, Paul} } @article {7146, title = {Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {22-39}, abstract = {

White blood cells play diverse roles in innate and adaptive immunity. Genetic association analyses of phenotypic variation in circulating white blood cell (WBC) counts from large samples of otherwise healthy individuals can provide insights into genes and biologic pathways involved in production, differentiation, or clearance of particular WBC lineages (myeloid, lymphoid) and also potentially inform the genetic basis of autoimmune, allergic, and blood diseases. We performed an exome array-based meta-analysis of total WBC and subtype counts (neutrophils, monocytes, lymphocytes, basophils, and eosinophils) in a multi-ancestry discovery and replication sample of~\~{}157,622 individuals from 25 studies. We identified 16 common variants (8 of which were coding variants) associated with one or more WBC traits, the majority of which are pleiotropically associated with autoimmune diseases. Based on functional annotation, these loci included genes encoding surface markers of myeloid, lymphoid, or hematopoietic stem cell differentiation (CD69, CD33, CD87), transcription factors regulating lineage specification during hematopoiesis (ASXL1, IRF8, IKZF1, JMJD1C, ETS2-PSMG1), and molecules involved in neutrophil clearance/apoptosis (C10orf54, LTA), adhesion (TNXB), or centrosome and microtubule structure/function (KIF9, TUBD1). Together with recent reports of somatic ASXL1 mutations among individuals with idiopathic cytopenias or clonal hematopoiesis of undetermined significance, the identification of a common regulatory 3{\textquoteright} UTR variant of ASXL1 suggests that both germline and somatic ASXL1 mutations contribute to lower blood counts in otherwise asymptomatic individuals. These association results shed light on genetic mechanisms that regulate circulating WBC counts and suggest a prominent shared genetic architecture with inflammatory and autoimmune diseases.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.003}, author = {Tajuddin, Salman M and Schick, Ursula M and Eicher, John D and Chami, Nathalie and Giri, Ayush and Brody, Jennifer A and Hill, W David and Kacprowski, Tim and Li, Jin and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Mihailov, Evelin and O{\textquoteright}Donoghue, Michelle L and Pankratz, Nathan and Pazoki, Raha and Polfus, Linda M and Smith, Albert Vernon and Schurmann, Claudia and Vacchi-Suzzi, Caterina and Waterworth, Dawn M and Evangelou, Evangelos and Yanek, Lisa R and Burt, Amber and Chen, Ming-Huei and van Rooij, Frank J A and Floyd, James S and Greinacher, Andreas and Harris, Tamara B and Highland, Heather M and Lange, Leslie A and Liu, Yongmei and M{\"a}gi, Reedik and Nalls, Mike A and Mathias, Rasika A and Nickerson, Deborah A and Nikus, Kjell and Starr, John M and Tardif, Jean-Claude and Tzoulaki, Ioanna and Velez Edwards, Digna R and Wallentin, Lars and Bartz, Traci M and Becker, Lewis C and Denny, Joshua C and Raffield, Laura M and Rioux, John D and Friedrich, Nele and Fornage, Myriam and Gao, He and Hirschhorn, Joel N and Liewald, David C M and Rich, Stephen S and Uitterlinden, Andre and Bastarache, Lisa and Becker, Diane M and Boerwinkle, Eric and de Denus, Simon and Bottinger, Erwin P and Hayward, Caroline and Hofman, Albert and Homuth, Georg and Lange, Ethan and Launer, Lenore J and Lehtim{\"a}ki, Terho and Lu, Yingchang and Metspalu, Andres and O{\textquoteright}Donnell, Chris J and Quarells, Rakale C and Richard, Melissa and Torstenson, Eric S and Taylor, Kent D and Vergnaud, Anne-Claire and Zonderman, Alan B and Crosslin, David R and Deary, Ian J and D{\"o}rr, Marcus and Elliott, Paul and Evans, Michele K and Gudnason, Vilmundur and K{\"a}h{\"o}nen, Mika and Psaty, Bruce M and Rotter, Jerome I and Slater, Andrew J and Dehghan, Abbas and White, Harvey D and Ganesh, Santhi K and Loos, Ruth J F and Esko, T{\~o}nu and Faraday, Nauder and Wilson, James G and Cushman, Mary and Johnson, Andrew D and Edwards, Todd L and Zakai, Neil A and Lettre, Guillaume and Reiner, Alex P and Auer, Paul L} } @article {7264, title = {Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci.}, journal = {Nat Genet}, volume = {48}, year = {2016}, month = {2016 Oct}, pages = {1162-70}, abstract = {

Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.

}, issn = {1546-1718}, doi = {10.1038/ng.3660}, author = {Liu, Chunyu and Kraja, Aldi T and Smith, Jennifer A and Brody, Jennifer A and Franceschini, Nora and Bis, Joshua C and Rice, Kenneth and Morrison, Alanna C and Lu, Yingchang and Weiss, Stefan and Guo, Xiuqing and Palmas, Walter and Martin, Lisa W and Chen, Yii-Der Ida and Surendran, Praveen and Drenos, Fotios and Cook, James P and Auer, Paul L and Chu, Audrey Y and Giri, Ayush and Zhao, Wei and Jakobsdottir, Johanna and Lin, Li-An and Stafford, Jeanette M and Amin, Najaf and Mei, Hao and Yao, Jie and Voorman, Arend and Larson, Martin G and Grove, Megan L and Smith, Albert V and Hwang, Shih-Jen and Chen, Han and Huan, Tianxiao and Kosova, Gulum and Stitziel, Nathan O and Kathiresan, Sekar and Samani, Nilesh and Schunkert, Heribert and Deloukas, Panos and Li, Man and Fuchsberger, Christian and Pattaro, Cristian and Gorski, Mathias and Kooperberg, Charles and Papanicolaou, George J and Rossouw, Jacques E and Faul, Jessica D and Kardia, Sharon L R and Bouchard, Claude and Raffel, Leslie J and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Vasan, Ramachandran S and O{\textquoteright}Donnell, Christopher J and Taylor, Kent D and Liu, Kiang and Bottinger, Erwin P and Gottesman, Omri and Daw, E Warwick and Giulianini, Franco and Ganesh, Santhi and Salfati, Elias and Harris, Tamara B and Launer, Lenore J and D{\"o}rr, Marcus and Felix, Stephan B and Rettig, Rainer and V{\"o}lzke, Henry and Kim, Eric and Lee, Wen-Jane and Lee, I-Te and Sheu, Wayne H-H and Tsosie, Krystal S and Edwards, Digna R Velez and Liu, Yongmei and Correa, Adolfo and Weir, David R and V{\"o}lker, Uwe and Ridker, Paul M and Boerwinkle, Eric and Gudnason, Vilmundur and Reiner, Alexander P and van Duijn, Cornelia M and Borecki, Ingrid B and Edwards, Todd L and Chakravarti, Aravinda and Rotter, Jerome I and Psaty, Bruce M and Loos, Ruth J F and Fornage, Myriam and Ehret, Georg B and Newton-Cheh, Christopher and Levy, Daniel and Chasman, Daniel I} } @article {6936, title = {A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration.}, journal = {Hum Mol Genet}, volume = {25}, year = {2016}, month = {2016 Jan 15}, pages = {358-70}, abstract = {

Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including \~{}120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3\% of the variance in plasma fibrinogen concentration.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddv454}, author = {de Vries, Paul S and Chasman, Daniel I and Sabater-Lleal, Maria and Chen, Ming-Huei and Huffman, Jennifer E and Steri, Maristella and Tang, Weihong and Teumer, Alexander and Marioni, Riccardo E and Grossmann, Vera and Hottenga, Jouke J and Trompet, Stella and M{\"u}ller-Nurasyid, Martina and Zhao, Jing Hua and Brody, Jennifer A and Kleber, Marcus E and Guo, Xiuqing and Wang, Jie Jin and Auer, Paul L and Attia, John R and Yanek, Lisa R and Ahluwalia, Tarunveer S and Lahti, Jari and Venturini, Cristina and Tanaka, Toshiko and Bielak, Lawrence F and Joshi, Peter K and Rocanin-Arjo, Ares and Kolcic, Ivana and Navarro, Pau and Rose, Lynda M and Oldmeadow, Christopher and Riess, Helene and Mazur, Johanna and Basu, Saonli and Goel, Anuj and Yang, Qiong and Ghanbari, Mohsen and Willemsen, Gonneke and Rumley, Ann and Fiorillo, Edoardo and de Craen, Anton J M and Grotevendt, Anne and Scott, Robert and Taylor, Kent D and Delgado, Graciela E and Yao, Jie and Kifley, Annette and Kooperberg, Charles and Qayyum, Rehan and Lopez, Lorna M and Berentzen, Tina L and R{\"a}ikk{\"o}nen, Katri and Mangino, Massimo and Bandinelli, Stefania and Peyser, Patricia A and Wild, Sarah and Tr{\'e}gou{\"e}t, David-Alexandre and Wright, Alan F and Marten, Jonathan and Zemunik, Tatijana and Morrison, Alanna C and Sennblad, Bengt and Tofler, Geoffrey and de Maat, Moniek P M and de Geus, Eco J C and Lowe, Gordon D and Zoledziewska, Magdalena and Sattar, Naveed and Binder, Harald and V{\"o}lker, Uwe and Waldenberger, Melanie and Khaw, Kay-Tee and McKnight, Barbara and Huang, Jie and Jenny, Nancy S and Holliday, Elizabeth G and Qi, Lihong and Mcevoy, Mark G and Becker, Diane M and Starr, John M and Sarin, Antti-Pekka and Hysi, Pirro G and Hernandez, Dena G and Jhun, Min A and Campbell, Harry and Hamsten, Anders and Rivadeneira, Fernando and McArdle, Wendy L and Slagboom, P Eline and Zeller, Tanja and Koenig, Wolfgang and Psaty, Bruce M and Haritunians, Talin and Liu, Jingmin and Palotie, Aarno and Uitterlinden, Andr{\'e} G and Stott, David J and Hofman, Albert and Franco, Oscar H and Polasek, Ozren and Rudan, Igor and Morange, Pierre-Emmanuel and Wilson, James F and Kardia, Sharon L R and Ferrucci, Luigi and Spector, Tim D and Eriksson, Johan G and Hansen, Torben and Deary, Ian J and Becker, Lewis C and Scott, Rodney J and Mitchell, Paul and M{\"a}rz, Winfried and Wareham, Nick J and Peters, Annette and Greinacher, Andreas and Wild, Philipp S and Jukema, J Wouter and Boomsma, Dorret I and Hayward, Caroline and Cucca, Francesco and Tracy, Russell and Watkins, Hugh and Reiner, Alex P and Folsom, Aaron R and Ridker, Paul M and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Strachan, David P and Dehghan, Abbas} } @article {7011, title = {Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels.}, journal = {J Med Genet}, volume = {53}, year = {2016}, month = {2016 Jul}, pages = {441-9}, abstract = {

BACKGROUND: So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels.

METHODS: We used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from \~{}60 000 individuals in the discovery stage and \~{}90 000 samples in the replication stage.

RESULTS: Our study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene.

CONCLUSIONS: This study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels.

}, issn = {1468-6244}, doi = {10.1136/jmedgenet-2015-103439}, author = {van Leeuwen, Elisabeth M and Sabo, Aniko and Bis, Joshua C and Huffman, Jennifer E and Manichaikul, Ani and Smith, Albert V and Feitosa, Mary F and Demissie, Serkalem and Joshi, Peter K and Duan, Qing and Marten, Jonathan and van Klinken, Jan B and Surakka, Ida and Nolte, Ilja M and Zhang, Weihua and Mbarek, Hamdi and Li-Gao, Ruifang and Trompet, Stella and Verweij, Niek and Evangelou, Evangelos and Lyytik{\"a}inen, Leo-Pekka and Tayo, Bamidele O and Deelen, Joris and van der Most, Peter J and van der Laan, Sander W and Arking, Dan E and Morrison, Alanna and Dehghan, Abbas and Franco, Oscar H and Hofman, Albert and Rivadeneira, Fernando and Sijbrands, Eric J and Uitterlinden, Andr{\'e} G and Mychaleckyj, Josyf C and Campbell, Archie and Hocking, Lynne J and Padmanabhan, Sandosh and Brody, Jennifer A and Rice, Kenneth M and White, Charles C and Harris, Tamara and Isaacs, Aaron and Campbell, Harry and Lange, Leslie A and Rudan, Igor and Kolcic, Ivana and Navarro, Pau and Zemunik, Tatijana and Salomaa, Veikko and Kooner, Angad S and Kooner, Jaspal S and Lehne, Benjamin and Scott, William R and Tan, Sian-Tsung and de Geus, Eco J and Milaneschi, Yuri and Penninx, Brenda W J H and Willemsen, Gonneke and de Mutsert, Ren{\'e}e and Ford, Ian and Gansevoort, Ron T and Segura-Lepe, Marcelo P and Raitakari, Olli T and Viikari, Jorma S and Nikus, Kjell and Forrester, Terrence and McKenzie, Colin A and de Craen, Anton J M and de Ruijter, Hester M and Pasterkamp, Gerard and Snieder, Harold and Oldehinkel, Albertine J and Slagboom, P Eline and Cooper, Richard S and K{\"a}h{\"o}nen, Mika and Lehtim{\"a}ki, Terho and Elliott, Paul and van der Harst, Pim and Jukema, J Wouter and Mook-Kanamori, Dennis O and Boomsma, Dorret I and Chambers, John C and Swertz, Morris and Ripatti, Samuli and Willems van Dijk, Ko and Vitart, Veronique and Polasek, Ozren and Hayward, Caroline and Wilson, James G and Wilson, James F and Gudnason, Vilmundur and Rich, Stephen S and Psaty, Bruce M and Borecki, Ingrid B and Boerwinkle, Eric and Rotter, Jerome I and Cupples, L Adrienne and van Duijn, Cornelia M} } @article {7358, title = {Meta-analysis of genome-wide association studies of HDL cholesterol response to statins.}, journal = {J Med Genet}, volume = {53}, year = {2016}, month = {2016 Dec}, pages = {835-845}, abstract = {

BACKGROUND: In addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation.

METHODS AND RESULTS: We performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p<1{\texttimes}10(-4) from the 16 769 statin-treated participants in the first analysis stage were followed up in an independent group of 10 951 statin-treated individuals, providing a total sample size of 27 720 individuals. The only associations of genome-wide significance (p<5{\texttimes}10(-8)) were between minor alleles at the CETP locus and greater HDL-C response to statin treatment.

CONCLUSIONS: Based on results from this study that included a relatively large sample size, we suggest that CETP may be the only detectable locus with common genetic variants that influence HDL-C response to statins substantially in individuals of European descent. Although CETP is known to be associated with HDL-C, we provide evidence that this pharmacogenetic effect is independent of its association with baseline HDL-C levels.

}, issn = {1468-6244}, doi = {10.1136/jmedgenet-2016-103966}, author = {Postmus, Iris and Warren, Helen R and Trompet, Stella and Arsenault, Benoit J and Avery, Christy L and Bis, Joshua C and Chasman, Daniel I and de Keyser, Catherine E and Deshmukh, Harshal A and Evans, Daniel S and Feng, QiPing and Li, Xiaohui and Smit, Roelof A J and Smith, Albert V and Sun, Fangui and Taylor, Kent D and Arnold, Alice M and Barnes, Michael R and Barratt, Bryan J and Betteridge, John and Boekholdt, S Matthijs and Boerwinkle, Eric and Buckley, Brendan M and Chen, Y-D Ida and de Craen, Anton J M and Cummings, Steven R and Denny, Joshua C and Dub{\'e}, Marie Pierre and Durrington, Paul N and Eiriksdottir, Gudny and Ford, Ian and Guo, Xiuqing and Harris, Tamara B and Heckbert, Susan R and Hofman, Albert and Hovingh, G Kees and Kastelein, John J P and Launer, Leonore J and Liu, Ching-Ti and Liu, Yongmei and Lumley, Thomas and McKeigue, Paul M and Munroe, Patricia B and Neil, Andrew and Nickerson, Deborah A and Nyberg, Fredrik and O{\textquoteright}Brien, Eoin and O{\textquoteright}Donnell, Christopher J and Post, Wendy and Poulter, Neil and Vasan, Ramachandran S and Rice, Kenneth and Rich, Stephen S and Rivadeneira, Fernando and Sattar, Naveed and Sever, Peter and Shaw-Hawkins, Sue and Shields, Denis C and Slagboom, P Eline and Smith, Nicholas L and Smith, Joshua D and Sotoodehnia, Nona and Stanton, Alice and Stott, David J and Stricker, Bruno H and St{\"u}rmer, Til and Uitterlinden, Andr{\'e} G and Wei, Wei-Qi and Westendorp, Rudi G J and Whitsel, Eric A and Wiggins, Kerri L and Wilke, Russell A and Ballantyne, Christie M and Colhoun, Helen M and Cupples, L Adrienne and Franco, Oscar H and Gudnason, Vilmundur and Hitman, Graham and Palmer, Colin N A and Psaty, Bruce M and Ridker, Paul M and Stafford, Jeanette M and Stein, Charles M and Tardif, Jean-Claude and Caulfield, Mark J and Jukema, J Wouter and Rotter, Jerome I and Krauss, Ronald M} } @article {7257, title = {Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis.}, journal = {Circ Cardiovasc Genet}, year = {2016}, month = {2016 Nov 21}, abstract = {

BACKGROUND: -The burden of subclinical atherosclerosis in asymptomatic individuals is heritable and associated with elevated risk of developing clinical coronary heart disease (CHD). We sought to identify genetic variants in protein-coding regions associated with subclinical atherosclerosis and the risk of subsequent CHD.

METHODS AND RESULTS: -We studied a total of 25,109 European ancestry and African-American participants with coronary artery calcification (CAC) measured by cardiac computed tomography and 52,869 with common carotid intima media thickness (CIMT) measured by ultrasonography within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Participants were genotyped for 247,870 DNA sequence variants (231,539 in exons) across the genome. A meta-analysis of exome-wide association studies was performed across cohorts for CAC and CIMT. APOB p.Arg3527Gln was associated with four-fold excess CAC (P = 3{\texttimes}10(-10)). The APOE ε2 allele (p.Arg176Cys) was associated with both 22.3\% reduced CAC (P = 1{\texttimes}10(-12)) and 1.4\% reduced CIMT (P = 4{\texttimes}10(-14)) in carriers compared with non-carriers. In secondary analyses conditioning on LDL cholesterol concentration, the ε2 protective association with CAC, although attenuated, remained strongly significant. Additionally, the presence of ε2 was associated with reduced risk for CHD (OR 0.77; P = 1{\texttimes}10(-11)).

CONCLUSIONS: -Exome-wide association meta-analysis demonstrates that protein-coding variants in APOB and APOE associate with subclinical atherosclerosis. APOE ε2 represents the first significant association for multiple subclinical atherosclerosis traits across multiple ethnicities as well as clinical CHD.

}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.116.001572}, author = {Natarajan, Pradeep and Bis, Joshua C and Bielak, Lawrence F and Cox, Amanda J and D{\"o}rr, Marcus and Feitosa, Mary F and Franceschini, Nora and Guo, Xiuqing and Hwang, Shih-Jen and Isaacs, Aaron and Jhun, Min A and Kavousi, Maryam and Li-Gao, Ruifang and Lyytik{\"a}inen, Leo-Pekka and Marioni, Riccardo E and Schminke, Ulf and Stitziel, Nathan O and Tada, Hayato and van Setten, Jessica and Smith, Albert V and Vojinovic, Dina and Yanek, Lisa R and Yao, Jie and Yerges-Armstrong, Laura M and Amin, Najaf and Baber, Usman and Borecki, Ingrid B and Carr, J Jeffrey and Chen, Yii-Der Ida and Cupples, L Adrienne and de Jong, Pim A and de Koning, Harry and de Vos, Bob D and Demirkan, Ayse and Fuster, Valentin and Franco, Oscar H and Goodarzi, Mark O and Harris, Tamara B and Heckbert, Susan R and Heiss, Gerardo and Hoffmann, Udo and Hofman, Albert and I{\v s}gum, Ivana and Jukema, J Wouter and K{\"a}h{\"o}nen, Mika and Kardia, Sharon L R and Kral, Brian G and Launer, Lenore J and Massaro, Joseph and Mehran, Roxana and Mitchell, Braxton D and Mosley, Thomas H and de Mutsert, Ren{\'e}e and Newman, Anne B and Nguyen, Khanh-Dung and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Oudkerk, Matthijs and Pankow, James S and Peloso, Gina M and Post, Wendy and Province, Michael A and Raffield, Laura M and Raitakari, Olli T and Reilly, Dermot F and Rivadeneira, Fernando and Rosendaal, Frits and Sartori, Samantha and Taylor, Kent D and Teumer, Alexander and Trompet, Stella and Turner, Stephen T and Uitterlinden, Andr{\'e} G and Vaidya, Dhananjay and van der Lugt, Aad and V{\"o}lker, Uwe and Wardlaw, Joanna M and Wassel, Christina L and Weiss, Stefan and Wojczynski, Mary K and Becker, Diane M and Becker, Lewis C and Boerwinkle, Eric and Bowden, Donald W and Deary, Ian J and Dehghan, Abbas and Felix, Stephan B and Gudnason, Vilmundur and Lehtim{\"a}ki, Terho and Mathias, Rasika and Mook-Kanamori, Dennis O and Psaty, Bruce M and Rader, Daniel J and Rotter, Jerome I and Wilson, James G and van Duijn, Cornelia M and V{\"o}lzke, Henry and Kathiresan, Sekar and Peyser, Patricia A and O{\textquoteright}Donnell, Christopher J} } @article {8567, title = {Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis.}, journal = {Lancet Diabetes Endocrinol}, volume = {4}, year = {2016}, month = {2016 10}, pages = {840-9}, abstract = {

BACKGROUND: Guidelines for primary prevention of cardiovascular diseases focus on prediction of coronary heart disease and stroke. We assessed whether or not measurement of N-terminal-pro-B-type natriuretic peptide (NT-proBNP) concentration could enable a more integrated approach than at present by predicting heart failure and enhancing coronary heart disease and stroke risk assessment.

METHODS: In this individual-participant-data meta-analysis, we generated and harmonised individual-participant data from relevant prospective studies via both de-novo NT-proBNP concentration measurement of stored samples and collection of data from studies identified through a systematic search of the literature (PubMed, Scientific Citation Index Expanded, and Embase) for articles published up to Sept 4, 2014, using search terms related to natriuretic peptide family members and the primary outcomes, with no language restrictions. We calculated risk ratios and measures of risk discrimination and reclassification across predicted 10 year risk categories (ie, <5\%, 5\% to <7{\textperiodcentered}5\%, and >=7{\textperiodcentered}5\%), adding assessment of NT-proBNP concentration to that of conventional risk factors (ie, age, sex, smoking status, systolic blood pressure, history of diabetes, and total and HDL cholesterol concentrations). Primary outcomes were the combination of coronary heart disease and stroke, and the combination of coronary heart disease, stroke, and heart failure.

FINDINGS: We recorded 5500 coronary heart disease, 4002 stroke, and 2212 heart failure outcomes among 95 617 participants without a history of cardiovascular disease in 40 prospective studies. Risk ratios (for a comparison of the top third vs bottom third of NT-proBNP concentrations, adjusted for conventional risk factors) were 1{\textperiodcentered}76 (95\% CI 1{\textperiodcentered}56-1{\textperiodcentered}98) for the combination of coronary heart disease and stroke and 2{\textperiodcentered}00 (1{\textperiodcentered}77-2{\textperiodcentered}26) for the combination of coronary heart disease, stroke, and heart failure. Addition of information about NT-proBNP concentration to a model containing conventional risk factors was associated with a C-index increase of 0{\textperiodcentered}012 (0{\textperiodcentered}010-0{\textperiodcentered}014) and a net reclassification improvement of 0{\textperiodcentered}027 (0{\textperiodcentered}019-0{\textperiodcentered}036) for the combination of coronary heart disease and stroke and a C-index increase of 0{\textperiodcentered}019 (0{\textperiodcentered}016-0{\textperiodcentered}022) and a net reclassification improvement of 0{\textperiodcentered}028 (0{\textperiodcentered}019-0{\textperiodcentered}038) for the combination of coronary heart disease, stroke, and heart failure.

INTERPRETATION: In people without baseline cardiovascular disease, NT-proBNP concentration assessment strongly predicted first-onset heart failure and augmented coronary heart disease and stroke prediction, suggesting that NT-proBNP concentration assessment could be used to integrate heart failure into cardiovascular disease primary prevention.

FUNDING: British Heart Foundation, Austrian Science Fund, UK Medical Research Council, National Institute for Health Research, European Research Council, and European Commission Framework Programme 7.

}, keywords = {Aged, Biomarkers, Cardiovascular Diseases, Female, Humans, Male, Middle Aged, Natriuretic Peptide, Brain, Peptide Fragments, Prospective Studies, Risk Assessment}, issn = {2213-8595}, doi = {10.1016/S2213-8587(16)30196-6}, author = {Willeit, Peter and Kaptoge, Stephen and Welsh, Paul and Butterworth, Adam and Chowdhury, Rajiv and Spackman, Sarah and Pennells, Lisa and Gao, Pei and Burgess, Stephen and Freitag, Daniel and Sweeting, Michael and Wood, Angela and Cook, Nancy and Judd, Suzanne and Trompet, Stella and Nambi, Vijay and Olsen, Michael and Everett, Brendan and Kee, Frank and Arnl{\"o}v, Johan and Salomaa, Veikko and Levy, Daniel and Kauhanen, Jussi and Laukkanen, Jari and Kavousi, Maryam and Ninomiya, Toshiharu and Casas, Juan-Pablo and Daniels, Lori and Lind, Lars and Kistorp, Caroline and Rosenberg, Jens and Mueller, Thomas and Rubattu, Speranza and Panagiotakos, Demosthenes and Franco, Oscar and de Lemos, James and Luchner, Andreas and Kizer, Jorge and Kiechl, Stefan and Salonen, Jukka and Goya Wannamethee, S and de Boer, Rudolf and Nordestgaard, B{\o}rge and Andersson, Jonas and J{\o}rgensen, Torben and Melander, Olle and Ballantyne, Christie and DeFilippi, Christopher and Ridker, Paul and Cushman, Mary and Rosamond, Wayne and Thompson, Simon and Gudnason, Vilmundur and Sattar, Naveed and Danesh, John and Di Angelantonio, Emanuele} } @article {6680, title = {A novel Alzheimer disease locus located near the gene encoding tau protein.}, journal = {Mol Psychiatry}, volume = {21}, year = {2016}, month = {2016 Jan}, pages = {108-17}, abstract = {

APOE ɛ4, the most significant genetic risk factor for Alzheimer disease (AD), may mask effects of other loci. We re-analyzed genome-wide association study (GWAS) data from the International Genomics of Alzheimer{\textquoteright}s Project (IGAP) Consortium in APOE ɛ4+ (10 352 cases and 9207 controls) and APOE ɛ4- (7184 cases and 26 968 controls) subgroups as well as in the total sample testing for interaction between a single-nucleotide polymorphism (SNP) and APOE ɛ4 status. Suggestive associations (P<1 {\texttimes} 10(-4)) in stage 1 were evaluated in an independent sample (stage 2) containing 4203 subjects (APOE ɛ4+: 1250 cases and 536 controls; APOE ɛ4-: 718 cases and 1699 controls). Among APOE ɛ4- subjects, novel genome-wide significant (GWS) association was observed with 17 SNPs (all between KANSL1 and LRRC37A on chromosome 17 near MAPT) in a meta-analysis of the stage 1 and stage 2 data sets (best SNP, rs2732703, P=5{\textperiodcentered}8 {\texttimes} 10(-9)). Conditional analysis revealed that rs2732703 accounted for association signals in the entire 100-kilobase region that includes MAPT. Except for previously identified AD loci showing stronger association in APOE ɛ4+ subjects (CR1 and CLU) or APOE ɛ4- subjects (MS4A6A/MS4A4A/MS4A6E), no other SNPs were significantly associated with AD in a specific APOE genotype subgroup. In addition, the finding in the stage 1 sample that AD risk is significantly influenced by the interaction of APOE with rs1595014 in TMEM106B (P=1{\textperiodcentered}6 {\texttimes} 10(-7)) is noteworthy, because TMEM106B variants have previously been associated with risk of frontotemporal dementia. Expression quantitative trait locus analysis revealed that rs113986870, one of the GWS SNPs near rs2732703, is significantly associated with four KANSL1 probes that target transcription of the first translated exon and an untranslated exon in hippocampus (P ⩽ 1.3 {\texttimes} 10(-8)), frontal cortex (P ⩽ 1.3 {\texttimes} 10(-9)) and temporal cortex (P⩽1.2 {\texttimes} 10(-11)). Rs113986870 is also strongly associated with a MAPT probe that targets transcription of alternatively spliced exon 3 in frontal cortex (P=9.2 {\texttimes} 10(-6)) and temporal cortex (P=2.6 {\texttimes} 10(-6)). Our APOE-stratified GWAS is the first to show GWS association for AD with SNPs in the chromosome 17q21.31 region. Replication of this finding in independent samples is needed to verify that SNPs in this region have significantly stronger effects on AD risk in persons lacking APOE ɛ4 compared with persons carrying this allele, and if this is found to hold, further examination of this region and studies aimed at deciphering the mechanism(s) are warranted.

}, keywords = {Alzheimer Disease, Apolipoprotein E4, Chromosomes, Human, Pair 17, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, tau Proteins}, issn = {1476-5578}, doi = {10.1038/mp.2015.23}, author = {Jun, G and Ibrahim-Verbaas, C A and Vronskaya, M and Lambert, J-C and Chung, J and Naj, A C and Kunkle, B W and Wang, L-S and Bis, J C and Bellenguez, C and Harold, D and Lunetta, K L and DeStefano, A L and Grenier-Boley, B and Sims, R and Beecham, G W and Smith, A V and Chouraki, V and Hamilton-Nelson, K L and Ikram, M A and Fi{\'e}vet, N and Denning, N and Martin, E R and Schmidt, H and Kamatani, Y and Dunstan, M L and Valladares, O and Laza, A R and Zelenika, D and Ramirez, A and Foroud, T M and Choi, S-H and Boland, A and Becker, T and Kukull, W A and van der Lee, S J and Pasquier, F and Cruchaga, C and Beekly, D and Fitzpatrick, A L and Hanon, O and Gill, M and Barber, R and Gudnason, V and Campion, D and Love, S and Bennett, D A and Amin, N and Berr, C and Tsolaki, Magda and Buxbaum, J D and Lopez, O L and Deramecourt, V and Fox, N C and Cantwell, L B and T{\'a}rraga, L and Dufouil, C and Hardy, J and Crane, P K and Eiriksdottir, G and Hannequin, D and Clarke, R and Evans, D and Mosley, T H and Letenneur, L and Brayne, C and Maier, W and De Jager, P and Emilsson, V and Dartigues, J-F and Hampel, H and Kamboh, M I and de Bruijn, R F A G and Tzourio, C and Pastor, P and Larson, E B and Rotter, J I and O{\textquoteright}Donovan, M C and Montine, T J and Nalls, M A and Mead, S and Reiman, E M and Jonsson, P V and Holmes, C and St George-Hyslop, P H and Boada, M and Passmore, P and Wendland, J R and Schmidt, R and Morgan, K and Winslow, A R and Powell, J F and Carasquillo, M and Younkin, S G and Jakobsd{\'o}ttir, J and Kauwe, J S K and Wilhelmsen, K C and Rujescu, D and N{\"o}then, M M and Hofman, A and Jones, L and Haines, J L and Psaty, B M and Van Broeckhoven, C and Holmans, P and Launer, L J and Mayeux, R and Lathrop, M and Goate, A M and Escott-Price, V and Seshadri, S and Pericak-Vance, M A and Amouyel, P and Williams, J and van Duijn, C M and Schellenberg, G D and Farrer, L A} } @article {8561, title = {{Novel genetic loci underlying human intracranial volume identified through genome-wide association}, journal = {Nat Neurosci}, volume = {19}, year = {2016}, month = {12}, pages = {1569{\textendash}1582}, abstract = {Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference ({\"I}genetic = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (Ncombined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson{\textquoteright}s disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.}, author = {Adams, H. H. and Hibar, D. P. and Chouraki, V. and Stein, J. L. and Nyquist, P. A. and Renter?a, M. E. and Trompet, S. and Arias-Vasquez, A. and Seshadri, S. and Desrivi?res, S. and Beecham, A. H. and Jahanshad, N. and Wittfeld, K. and van der Lee, S. J. and Abramovic, L. and Alhusaini, S. and Amin, N. and Andersson, M. and Arfanakis, K. and Aribisala, B. S. and Armstrong, N. J. and Athanasiu, L. and Axelsson, T. and Beiser, A. and Bernard, M. and Bis, J. C. and Blanken, L. M. and Blanton, S. H. and Bohlken, M. M. and Boks, M. P. and Bralten, J. and Brickman, A. M. and Carmichael, O. and Chakravarty, M. M. and Chauhan, G. and Chen, Q. and Ching, C. R. and Cuellar-Partida, G. and Braber, A. D. and Doan, N. T. and Ehrlich, S. and Filippi, I. and Ge, T. and Giddaluru, S. and Goldman, A. L. and Gottesman, R. F. and Greven, C. U. and Grimm, O. and Griswold, M. E. and Guadalupe, T. and Hass, J. and Haukvik, U. K. and Hilal, S. and Hofer, E. and Hoehn, D. and Holmes, A. J. and Hoogman, M. and Janowitz, D. and Jia, T. and Kasperaviciute, D. and Kim, S. and Klein, M. and Kraemer, B. and Lee, P. H. and Liao, J. and Liewald, D. C. and Lopez, L. M. and Luciano, M. and Macare, C. and Marquand, A. and Matarin, M. and Mather, K. A. and Mattheisen, M. and Mazoyer, B. and McKay, D. R. and McWhirter, R. and Milaneschi, Y. and Mirza-Schreiber, N. and Muetzel, R. L. and Maniega, S. M. and Nho, K. and Nugent, A. C. and Loohuis, L. M. and Oosterlaan, J. and Papmeyer, M. and Pappa, I. and Pirpamer, L. and Pudas, S. and P?tz, B. and Rajan, K. B. and Ramasamy, A. and Richards, J. S. and Risacher, S. L. and Roiz-Santia?ez, R. and Rommelse, N. and Rose, E. J. and Royle, N. A. and Rundek, T. and S?mann, P. G. and Satizabal, C. L. and Schmaal, L. and Schork, A. J. and Shen, L. and Shin, J. and Shumskaya, E. and Smith, A. V. and Sprooten, E. and Strike, L. T. and Teumer, A. and Thomson, R. and Tordesillas-Gutierrez, D. and Toro, R. and Trabzuni, D. and Vaidya, D. and van der Grond, J. and van der Meer, D. and Van Donkelaar, M. M. and Van Eijk, K. R. and Van Erp, T. G. and van Rooij, D. and Walton, E. and Westlye, L. T. and Whelan, C. D. and Windham, B. G. and Winkler, A. M. and Woldehawariat, G. and Wolf, C. and Wolfers, T. and Xu, B. and Yanek, L. R. and Yang, J. and Zijdenbos, A. and Zwiers, M. P. and Agartz, I. and Aggarwal, N. T. and Almasy, L. and Ames, D. and Amouyel, P. and Andreassen, O. A. and Arepalli, S. and Assareh, A. A. and Barral, S. and Bastin, M. E. and Becker, D. M. and Becker, J. T. and Bennett, D. A. and Blangero, J. and van Bokhoven, H. and Boomsma, D. I. and Brodaty, H. and Brouwer, R. M. and Brunner, H. G. and Buckner, R. L. and Buitelaar, J. K. and Bulayeva, K. B. and Cahn, W. and Calhoun, V. D. and Cannon, D. M. and Cavalleri, G. L. and Chen, C. and Cheng, C. Y. and Cichon, S. and Cookson, M. R. and Corvin, A. and Crespo-Facorro, B. and Curran, J. E. and Czisch, M. and Dale, A. M. and Davies, G. E. and De Geus, E. J. and De Jager, P. L. and de Zubicaray, G. I. and Delanty, N. and Depondt, C. and DeStefano, A. L. and Dillman, A. and Djurovic, S. and Donohoe, G. and Drevets, W. C. and Duggirala, R. and Dyer, T. D. and Erk, S. and Espeseth, T. and Evans, D. A. and Fedko, I. O. and Fern?ndez, G. and Ferrucci, L. and Fisher, S. E. and Fleischman, D. A. and Ford, I. and Foroud, T. M. and Fox, P. T. and Francks, C. and Fukunaga, M. and Gibbs, J. R. and Glahn, D. C. and Gollub, R. L. and G?ring, H. H. and Grabe, H. J. and Green, R. C. and Gruber, O. and Gudnason, V. and Guelfi, S. and Hansell, N. K. and Hardy, J. and Hartman, C. A. and Hashimoto, R. and Hegenscheid, K. and Heinz, A. and Le Hellard, S. and Hernandez, D. G. and Heslenfeld, D. J. and Ho, B. C. and Hoekstra, P. J. and Hoffmann, W. and Hofman, A. and Holsboer, F. and Homuth, G. and Hosten, N. and Hottenga, J. J. and Hulshoff Pol, H. E. and Ikeda, M. and Ikram, M. K. and Jack, C. R. and Jenkinson, M. and Johnson, R. and J?nsson, E. G. and Jukema, J. W. and Kahn, R. S. and Kanai, R. and Kloszewska, I. and Knopman, D. S. and Kochunov, P. and Kwok, J. B. and Lawrie, S. M. and Lema?tre, H. and Liu, X. and Longo, D. L. and Longstreth, W. T. and Lopez, O. L. and Lovestone, S. and Martinez, O. and Martinot, J. L. and Mattay, V. S. and McDonald, C. and McIntosh, A. M. and McMahon, K. L. and McMahon, F. J. and Mecocci, P. and Melle, I. and Meyer-Lindenberg, A. and Mohnke, S. and Montgomery, G. W. and Morris, D. W. and Mosley, T. H. and M?hleisen, T. W. and M?ller-Myhsok, B. and Nalls, M. A. and Nauck, M. and Nichols, T. E. and Niessen, W. J. and N?then, M. M. and Nyberg, L. and Ohi, K. and Olvera, R. L. and Ophoff, R. A. and Pandolfo, M. and Paus, T. and Pausova, Z. and Penninx, B. W. and Pike, G. B. and Potkin, S. G. and Psaty, B. M. and Reppermund, S. and Rietschel, M. and Roffman, J. L. and Romanczuk-Seiferth, N. and Rotter, J. I. and Ryten, M. and Sacco, R. L. and Sachdev, P. S. and Saykin, A. J. and Schmidt, R. and Schofield, P. R. and Sigurdsson, S. and Simmons, A. and Singleton, A. and Sisodiya, S. M. and Smith, C. and Smoller, J. W. and Soininen, H. and Srikanth, V. and Steen, V. M. and Stott, D. J. and Sussmann, J. E. and Thalamuthu, A. and Tiemeier, H. and Toga, A. W. and Traynor, B. J. and Troncoso, J. and Turner, J. A. and Tzourio, C. and Uitterlinden, A. G. and Hern?ndez, M. C. and Van der Brug, M. and van der Lugt, A. and Van der Wee, N. J. and van Duijn, C. M. and Van Haren, N. E. and Van T Ent, D. and van Tol, M. J. and Vardarajan, B. N. and Veltman, D. J. and Vernooij, M. W. and V?lzke, H. and Walter, H. and Wardlaw, J. M. and Wassink, T. H. and Weale, M. E. and Weinberger, D. R. and Weiner, M. W. and Wen, W. and Westman, E. and White, T. and Wong, T. Y. and Wright, C. B. and Zielke, H. R. and Zonderman, A. B. and Deary, I. J. and DeCarli, C. and Schmidt, H. and Martin, N. G. and De Craen, A. J. and Wright, M. J. and Launer, L. J. and Schumann, G. and Fornage, M. and Franke, B. and Debette, S. and Medland, S. E. and Ikram, M. A. and Thompson, P. M.} } @article {7139, title = {Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {40-55}, abstract = {

Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets{\textquoteright} important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.005}, author = {Eicher, John D and Chami, Nathalie and Kacprowski, Tim and Nomura, Akihiro and Chen, Ming-Huei and Yanek, Lisa R and Tajuddin, Salman M and Schick, Ursula M and Slater, Andrew J and Pankratz, Nathan and Polfus, Linda and Schurmann, Claudia and Giri, Ayush and Brody, Jennifer A and Lange, Leslie A and Manichaikul, Ani and Hill, W David and Pazoki, Raha and Elliot, Paul and Evangelou, Evangelos and Tzoulaki, Ioanna and Gao, He and Vergnaud, Anne-Claire and Mathias, Rasika A and Becker, Diane M and Becker, Lewis C and Burt, Amber and Crosslin, David R and Lyytik{\"a}inen, Leo-Pekka and Nikus, Kjell and Hernesniemi, Jussi and K{\"a}h{\"o}nen, Mika and Raitoharju, Emma and Mononen, Nina and Raitakari, Olli T and Lehtim{\"a}ki, Terho and Cushman, Mary and Zakai, Neil A and Nickerson, Deborah A and Raffield, Laura M and Quarells, Rakale and Willer, Cristen J and Peloso, Gina M and Abecasis, Goncalo R and Liu, Dajiang J and Deloukas, Panos and Samani, Nilesh J and Schunkert, Heribert and Erdmann, Jeanette and Fornage, Myriam and Richard, Melissa and Tardif, Jean-Claude and Rioux, John D and Dub{\'e}, Marie-Pierre and de Denus, Simon and Lu, Yingchang and Bottinger, Erwin P and Loos, Ruth J F and Smith, Albert Vernon and Harris, Tamara B and Launer, Lenore J and Gudnason, Vilmundur and Velez Edwards, Digna R and Torstenson, Eric S and Liu, Yongmei and Tracy, Russell P and Rotter, Jerome I and Rich, Stephen S and Highland, Heather M and Boerwinkle, Eric and Li, Jin and Lange, Ethan and Wilson, James G and Mihailov, Evelin and M{\"a}gi, Reedik and Hirschhorn, Joel and Metspalu, Andres and Esko, T{\~o}nu and Vacchi-Suzzi, Caterina and Nalls, Mike A and Zonderman, Alan B and Evans, Michele K and Engstr{\"o}m, Gunnar and Orho-Melander, Marju and Melander, Olle and O{\textquoteright}Donoghue, Michelle L and Waterworth, Dawn M and Wallentin, Lars and White, Harvey D and Floyd, James S and Bartz, Traci M and Rice, Kenneth M and Psaty, Bruce M and Starr, J M and Liewald, David C M and Hayward, Caroline and Deary, Ian J and Greinacher, Andreas and V{\"o}lker, Uwe and Thiele, Thomas and V{\"o}lzke, Henry and van Rooij, Frank J A and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Dehghan, Abbas and Edwards, Todd L and Ganesh, Santhi K and Kathiresan, Sekar and Faraday, Nauder and Auer, Paul L and Reiner, Alex P and Lettre, Guillaume and Johnson, Andrew D} } @article {8570, title = {A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape.}, journal = {Nat Commun}, volume = {7}, year = {2016}, month = {2016 11 23}, pages = {13357}, abstract = {

Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99\% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways.

}, keywords = {Anthropometry, Body Size, Genome-Wide Association Study, Genotype, Humans, Models, Genetic, Principal Component Analysis}, issn = {2041-1723}, doi = {10.1038/ncomms13357}, author = {Ried, Janina S and Jeff M, Janina and Chu, Audrey Y and Bragg-Gresham, Jennifer L and van Dongen, Jenny and Huffman, Jennifer E and Ahluwalia, Tarunveer S and Cadby, Gemma and Eklund, Niina and Eriksson, Joel and Esko, T{\~o}nu and Feitosa, Mary F and Goel, Anuj and Gorski, Mathias and Hayward, Caroline and Heard-Costa, Nancy L and Jackson, Anne U and Jokinen, Eero and Kanoni, Stavroula and Kristiansson, Kati and Kutalik, Zolt{\'a}n and Lahti, Jari and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Mahajan, Anubha and Mangino, Massimo and Medina-G{\'o}mez, Carolina and Monda, Keri L and Nolte, Ilja M and Perusse, Louis and Prokopenko, Inga and Qi, Lu and Rose, Lynda M and Salvi, Erika and Smith, Megan T and Snieder, Harold and Stan{\v c}{\'a}kov{\'a}, Alena and Ju Sung, Yun and Tachmazidou, Ioanna and Teumer, Alexander and Thorleifsson, Gudmar and van der Harst, Pim and Walker, Ryan W and Wang, Sophie R and Wild, Sarah H and Willems, Sara M and Wong, Andrew and Zhang, Weihua and Albrecht, Eva and Couto Alves, Alexessander and Bakker, Stephan J L and Barlassina, Cristina and Bartz, Traci M and Beilby, John and Bellis, Claire and Bergman, Richard N and Bergmann, Sven and Blangero, John and Bl{\"u}her, Matthias and Boerwinkle, Eric and Bonnycastle, Lori L and Bornstein, Stefan R and Bruinenberg, Marcel and Campbell, Harry and Chen, Yii-Der Ida and Chiang, Charleston W K and Chines, Peter S and Collins, Francis S and Cucca, Fracensco and Cupples, L Adrienne and D{\textquoteright}Avila, Francesca and de Geus, Eco J C and Dedoussis, George and Dimitriou, Maria and D{\"o}ring, Angela and Eriksson, Johan G and Farmaki, Aliki-Eleni and Farrall, Martin and Ferreira, Teresa and Fischer, Krista and Forouhi, Nita G and Friedrich, Nele and Gjesing, Anette Prior and Glorioso, Nicola and Graff, Mariaelisa and Grallert, Harald and Grarup, Niels and Gr{\"a}{\ss}ler, J{\"u}rgen and Grewal, Jagvir and Hamsten, Anders and Harder, Marie Neergaard and Hartman, Catharina A and Hassinen, Maija and Hastie, Nicholas and Hattersley, Andrew Tym and Havulinna, Aki S and Heli{\"o}vaara, Markku and Hillege, Hans and Hofman, Albert and Holmen, Oddgeir and Homuth, Georg and Hottenga, Jouke-Jan and Hui, Jennie and Husemoen, Lise Lotte and Hysi, Pirro G and Isaacs, Aaron and Ittermann, Till and Jalilzadeh, Shapour and James, Alan L and J{\o}rgensen, Torben and Jousilahti, Pekka and Jula, Antti and Marie Justesen, Johanne and Justice, Anne E and K{\"a}h{\"o}nen, Mika and Karaleftheri, Maria and Tee Khaw, Kay and Keinanen-Kiukaanniemi, Sirkka M and Kinnunen, Leena and Knekt, Paul B and Koistinen, Heikki A and Kolcic, Ivana and Kooner, Ishminder K and Koskinen, Seppo and Kovacs, Peter and Kyriakou, Theodosios and Laitinen, Tomi and Langenberg, Claudia and Lewin, Alexandra M and Lichtner, Peter and Lindgren, Cecilia M and Lindstr{\"o}m, Jaana and Linneberg, Allan and Lorbeer, Roberto and Lorentzon, Mattias and Luben, Robert and Lyssenko, Valeriya and M{\"a}nnist{\"o}, Satu and Manunta, Paolo and Leach, Irene Mateo and McArdle, Wendy L and McKnight, Barbara and Mohlke, Karen L and Mihailov, Evelin and Milani, Lili and Mills, Rebecca and Montasser, May E and Morris, Andrew P and M{\"u}ller, Gabriele and Musk, Arthur W and Narisu, Narisu and Ong, Ken K and Oostra, Ben A and Osmond, Clive and Palotie, Aarno and Pankow, James S and Paternoster, Lavinia and Penninx, Brenda W and Pichler, Irene and Pilia, Maria G and Polasek, Ozren and Pramstaller, Peter P and Raitakari, Olli T and Rankinen, Tuomo and Rao, D C and Rayner, Nigel W and Ribel-Madsen, Rasmus and Rice, Treva K and Richards, Marcus and Ridker, Paul M and Rivadeneira, Fernando and Ryan, Kathy A and Sanna, Serena and Sarzynski, Mark A and Scholtens, Salome and Scott, Robert A and Sebert, Sylvain and Southam, Lorraine and Spars{\o}, Thomas Hempel and Steinthorsdottir, Valgerdur and Stirrups, Kathleen and Stolk, Ronald P and Strauch, Konstantin and Stringham, Heather M and Swertz, Morris A and Swift, Amy J and T{\"o}njes, Anke and Tsafantakis, Emmanouil and van der Most, Peter J and van Vliet-Ostaptchouk, Jana V and Vandenput, Liesbeth and Vartiainen, Erkki and Venturini, Cristina and Verweij, Niek and Viikari, Jorma S and Vitart, Veronique and Vohl, Marie-Claude and Vonk, Judith M and Waeber, G{\'e}rard and Widen, Elisabeth and Willemsen, Gonneke and Wilsgaard, Tom and Winkler, Thomas W and Wright, Alan F and Yerges-Armstrong, Laura M and Hua Zhao, Jing and Zillikens, M Carola and Boomsma, Dorret I and Bouchard, Claude and Chambers, John C and Chasman, Daniel I and Cusi, Daniele and Gansevoort, Ron T and Gieger, Christian and Hansen, Torben and Hicks, Andrew A and Hu, Frank and Hveem, Kristian and Jarvelin, Marjo-Riitta and Kajantie, Eero and Kooner, Jaspal S and Kuh, Diana and Kuusisto, Johanna and Laakso, Markku and Lakka, Timo A and Lehtim{\"a}ki, Terho and Metspalu, Andres and Nj{\o}lstad, Inger and Ohlsson, Claes and Oldehinkel, Albertine J and Palmer, Lyle J and Pedersen, Oluf and Perola, Markus and Peters, Annette and Psaty, Bruce M and Puolijoki, Hannu and Rauramaa, Rainer and Rudan, Igor and Salomaa, Veikko and Schwarz, Peter E H and Shudiner, Alan R and Smit, Jan H and S{\o}rensen, Thorkild I A and Spector, Timothy D and Stefansson, Kari and Stumvoll, Michael and Tremblay, Angelo and Tuomilehto, Jaakko and Uitterlinden, Andr{\'e} G and Uusitupa, Matti and V{\"o}lker, Uwe and Vollenweider, Peter and Wareham, Nicholas J and Watkins, Hugh and Wilson, James F and Zeggini, Eleftheria and Abecasis, Goncalo R and Boehnke, Michael and Borecki, Ingrid B and Deloukas, Panos and van Duijn, Cornelia M and Fox, Caroline and Groop, Leif C and Heid, Iris M and Hunter, David J and Kaplan, Robert C and McCarthy, Mark I and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Schlessinger, David and Thorsteinsdottir, Unnur and Strachan, David P and Frayling, Timothy and Hirschhorn, Joel N and M{\"u}ller-Nurasyid, Martina and Loos, Ruth J F} } @article {7260, title = {Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer{\textquoteright}s Disease.}, journal = {PLoS Genet}, volume = {12}, year = {2016}, month = {2016 Oct}, pages = {e1006327}, abstract = {

We performed an exome-wide association analysis in 1393 late-onset Alzheimer{\textquoteright}s disease (LOAD) cases and 8141 controls from the CHARGE consortium. We found that a rare variant (P155L) in TM2D3 was enriched in Icelanders (~0.5\% versus <0.05\% in other European populations). In 433 LOAD cases and 3903 controls from the Icelandic AGES sub-study, P155L was associated with increased risk and earlier onset of LOAD [odds ratio (95\% CI) = 7.5 (3.5-15.9), p = 6.6x10-9]. Mutation in the Drosophila TM2D3 homolog, almondex, causes a phenotype similar to loss of Notch/Presenilin signaling. Human TM2D3 is capable of rescuing these phenotypes, but this activity is abolished by P155L, establishing it as a functionally damaging allele. Our results establish a rare TM2D3 variant in association with LOAD susceptibility, and together with prior work suggests possible links to the β-amyloid cascade.

}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006327}, author = {Jakobsdottir, Johanna and van der Lee, Sven J and Bis, Joshua C and Chouraki, Vincent and Li-Kroeger, David and Yamamoto, Shinya and Grove, Megan L and Naj, Adam and Vronskaya, Maria and Salazar, Jose L and DeStefano, Anita L and Brody, Jennifer A and Smith, Albert V and Amin, Najaf and Sims, Rebecca and Ibrahim-Verbaas, Carla A and Choi, Seung-Hoan and Satizabal, Claudia L and Lopez, Oscar L and Beiser, Alexa and Ikram, M Arfan and Garcia, Melissa E and Hayward, Caroline and Varga, Tibor V and Ripatti, Samuli and Franks, Paul W and Hallmans, G{\"o}ran and Rolandsson, Olov and Jansson, Jan-H{\r a}kon and Porteous, David J and Salomaa, Veikko and Eiriksdottir, Gudny and Rice, Kenneth M and Bellen, Hugo J and Levy, Daniel and Uitterlinden, Andr{\'e} G and Emilsson, Valur and Rotter, Jerome I and Aspelund, Thor and O{\textquoteright}Donnell, Christopher J and Fitzpatrick, Annette L and Launer, Lenore J and Hofman, Albert and Wang, Li-San and Williams, Julie and Schellenberg, Gerard D and Boerwinkle, Eric and Psaty, Bruce M and Seshadri, Sudha and Shulman, Joshua M and Gudnason, Vilmundur and van Duijn, Cornelia M} } @article {6793, title = {Rare, low frequency and common coding variants in CHRNA5 and their contribution to nicotine dependence in European and African Americans.}, journal = {Mol Psychiatry}, volume = {21}, year = {2016}, month = {2016 May}, pages = {601-7}, abstract = {

The common nonsynonymous variant rs16969968 in the α5 nicotinic receptor subunit gene (CHRNA5) is the strongest genetic risk factor for nicotine dependence in European Americans and contributes to risk in African Americans. To comprehensively examine whether other CHRNA5 coding variation influences nicotine dependence risk, we performed targeted sequencing on 1582 nicotine-dependent cases (Fagerstr{\"o}m Test for Nicotine Dependence score⩾4) and 1238 non-dependent controls, with independent replication of common and low frequency variants using 12 studies with exome chip data. Nicotine dependence was examined using logistic regression with individual common variants (minor allele frequency (MAF)⩾0.05), aggregate low frequency variants (0.05>MAF⩾0.005) and aggregate rare variants (MAF<0.005). Meta-analysis of primary results was performed with replication studies containing 12 174 heavy and 11 290 light smokers. Next-generation sequencing with 180 {\texttimes} coverage identified 24 nonsynonymous variants and 2 frameshift deletions in CHRNA5, including 9 novel variants in the 2820 subjects. Meta-analysis confirmed the risk effect of the only common variant (rs16969968, European ancestry: odds ratio (OR)=1.3, P=3.5 {\texttimes} 10(-11); African ancestry: OR=1.3, P=0.01) and demonstrated that three low frequency variants contributed an independent risk (aggregate term, European ancestry: OR=1.3, P=0.005; African ancestry: OR=1.4, P=0.0006). The remaining 22 rare coding variants were associated with increased risk of nicotine dependence in the European American primary sample (OR=12.9, P=0.01) and in the same risk direction in African Americans (OR=1.5, P=0.37). Our results indicate that common, low frequency and rare CHRNA5 coding variants are independently associated with nicotine dependence risk. These newly identified variants likely influence the risk for smoking-related diseases such as lung cancer.

}, issn = {1476-5578}, doi = {10.1038/mp.2015.105}, author = {Olfson, E and Saccone, N L and Johnson, E O and Chen, L-S and Culverhouse, R and Doheny, K and Foltz, S M and Fox, L and Gogarten, S M and Hartz, S and Hetrick, K and Laurie, C C and Marosy, B and Amin, N and Arnett, D and Barr, R G and Bartz, T M and Bertelsen, S and Borecki, I B and Brown, M R and Chasman, D I and van Duijn, C M and Feitosa, M F and Fox, E R and Franceschini, N and Franco, O H and Grove, M L and Guo, X and Hofman, A and Kardia, S L R and Morrison, A C and Musani, S K and Psaty, B M and Rao, D C and Reiner, A P and Rice, K and Ridker, P M and Rose, L M and Schick, U M and Schwander, K and Uitterlinden, A G and Vojinovic, D and Wang, J-C and Ware, E B and Wilson, G and Yao, J and Zhao, W and Breslau, N and Hatsukami, D and Stitzel, J A and Rice, J and Goate, A and Bierut, L J} } @article {7255, title = {SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function.}, journal = {J Am Soc Nephrol}, year = {2016}, month = {2016 Dec 05}, abstract = {

Genome-wide association studies have identified >50 common variants associated with kidney function, but these variants do not fully explain the variation in eGFR. We performed a two-stage meta-analysis of associations between genotypes from the Illumina exome array and eGFR on the basis of serum creatinine (eGFRcrea) among participants of European ancestry from the CKDGen Consortium (nStage1: 111,666; nStage2: 48,343). In single-variant analyses, we identified single nucleotide polymorphisms at seven new loci associated with eGFRcrea (PPM1J, EDEM3, ACP1, SPEG, EYA4, CYP1A1, and ATXN2L; PStage1<3.7{\texttimes}10(-7)), of which most were common and annotated as nonsynonymous variants. Gene-based analysis identified associations of functional rare variants in three genes with eGFRcrea, including a novel association with the SOS Ras/Rho guanine nucleotide exchange factor 2 gene, SOS2 (P=5.4{\texttimes}10(-8) by sequence kernel association test). Experimental follow-up in zebrafish embryos revealed changes in glomerular gene expression and renal tubule morphology in the embryonic kidney of acp1- and sos2-knockdowns. These developmental abnormalities associated with altered blood clearance rate and heightened prevalence of edema. This study expands the number of loci associated with kidney function and identifies novel genes with potential roles in kidney formation.

}, issn = {1533-3450}, doi = {10.1681/ASN.2016020131}, author = {Li, Man and Li, Yong and Weeks, Olivia and Mijatovic, Vladan and Teumer, Alexander and Huffman, Jennifer E and Tromp, Gerard and Fuchsberger, Christian and Gorski, Mathias and Lyytik{\"a}inen, Leo-Pekka and Nutile, Teresa and Sedaghat, Sanaz and Sorice, Rossella and Tin, Adrienne and Yang, Qiong and Ahluwalia, Tarunveer S and Arking, Dan E and Bihlmeyer, Nathan A and B{\"o}ger, Carsten A and Carroll, Robert J and Chasman, Daniel I and Cornelis, Marilyn C and Dehghan, Abbas and Faul, Jessica D and Feitosa, Mary F and Gambaro, Giovanni and Gasparini, Paolo and Giulianini, Franco and Heid, Iris and Huang, Jinyan and Imboden, Medea and Jackson, Anne U and Jeff, Janina and Jhun, Min A and Katz, Ronit and Kifley, Annette and Kilpel{\"a}inen, Tuomas O and Kumar, Ashish and Laakso, Markku and Li-Gao, Ruifang and Lohman, Kurt and Lu, Yingchang and M{\"a}gi, Reedik and Malerba, Giovanni and Mihailov, Evelin and Mohlke, Karen L and Mook-Kanamori, Dennis O and Robino, Antonietta and Ruderfer, Douglas and Salvi, Erika and Schick, Ursula M and Schulz, Christina-Alexandra and Smith, Albert V and Smith, Jennifer A and Traglia, Michela and Yerges-Armstrong, Laura M and Zhao, Wei and Goodarzi, Mark O and Kraja, Aldi T and Liu, Chunyu and Wessel, Jennifer and Boerwinkle, Eric and Borecki, Ingrid B and Bork-Jensen, Jette and Bottinger, Erwin P and Braga, Daniele and Brandslund, Ivan and Brody, Jennifer A and Campbell, Archie and Carey, David J and Christensen, Cramer and Coresh, Josef and Crook, Errol and Curhan, Gary C and Cusi, Daniele and de Boer, Ian H and de Vries, Aiko P J and Denny, Joshua C and Devuyst, Olivier and Dreisbach, Albert W and Endlich, Karlhans and Esko, T{\~o}nu and Franco, Oscar H and Fulop, Tibor and Gerhard, Glenn S and Gl{\"u}mer, Charlotte and Gottesman, Omri and Grarup, Niels and Gudnason, Vilmundur and Harris, Tamara B and Hayward, Caroline and Hocking, Lynne and Hofman, Albert and Hu, Frank B and Husemoen, Lise Lotte N and Jackson, Rebecca D and J{\o}rgensen, Torben and J{\o}rgensen, Marit E and K{\"a}h{\"o}nen, Mika and Kardia, Sharon L R and K{\"o}nig, Wolfgang and Kooperberg, Charles and Kriebel, Jennifer and Launer, Lenore J and Lauritzen, Torsten and Lehtim{\"a}ki, Terho and Levy, Daniel and Linksted, Pamela and Linneberg, Allan and Liu, Yongmei and Loos, Ruth J F and Lupo, Antonio and Meisinger, Christine and Melander, Olle and Metspalu, Andres and Mitchell, Paul and Nauck, Matthias and N{\"u}rnberg, Peter and Orho-Melander, Marju and Parsa, Afshin and Pedersen, Oluf and Peters, Annette and Peters, Ulrike and Polasek, Ozren and Porteous, David and Probst-Hensch, Nicole M and Psaty, Bruce M and Qi, Lu and Raitakari, Olli T and Reiner, Alex P and Rettig, Rainer and Ridker, Paul M and Rivadeneira, Fernando and Rossouw, Jacques E and Schmidt, Frank and Siscovick, David and Soranzo, Nicole and Strauch, Konstantin and Toniolo, Daniela and Turner, Stephen T and Uitterlinden, Andr{\'e} G and Ulivi, Sheila and Velayutham, Dinesh and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Waldenberger, Melanie and Wang, Jie Jin and Weir, David R and Witte, Daniel and Kuivaniemi, Helena and Fox, Caroline S and Franceschini, Nora and Goessling, Wolfram and K{\"o}ttgen, Anna and Chu, Audrey Y} } @article {7128, title = {Trajectories of function and biomarkers with age: the CHS All Stars Study.}, journal = {Int J Epidemiol}, year = {2016}, month = {2016 Jun 6}, abstract = {

BACKGROUND: Multimorbidity is a major driver of physical and cognitive impairment, but rates of decline are also related to ageing. We sought to determine trajectories of decline in a large cohort by disease status, and examined their correspondence with biomarkers of ageing processes including growth hormone, sex steroid, inflammation, visceral adiposity and kidney function pathways.

METHODS: We have followed the 5888 participants in the Cardiovascular Health Study (CHS) for healthy ageing and longevity since 1989-90. Gait speed, grip strength, modified mini-mental status examination (3MSE) and the digit symbol substitution test (DSST) were assessed annually to 1998-99 and again in 2005-06. Insulin-like growth hormone (IGF-1), dehydroepiandrosterone sulphate (DHEAS), interleukin-6 (IL-6), adiponectin and cystatin-C were assessed 3-5 times from stored samples. Health status was updated annually and dichotomized as healthy vs not healthy. Trajectories for each function measure and biomarker were estimated using generalized estimating equations as a function of age and health status using standardized values.

RESULTS: Trajectories of functional decline showed strong age acceleration late in life in healthy older men and women as well as in chronically ill older adults. Adiponectin, IL-6 and cystatin-C tracked with functional decline in all domains; cystatin-C was consistently associated with functional declines independent of other biomarkers. DHEAS was independently associated with grip strength and IL-6 with grip strength and gait speed trajectories.

CONCLUSIONS: Functional decline in late life appears to mark a fundamental ageing process in that it occurred and was accelerated in late life regardless of health status. Cystatin C was most consistently associated with these functional declines.

}, issn = {1464-3685}, doi = {10.1093/ije/dyw092}, author = {Newman, Anne B and Sanders, Jason L and Kizer, Jorge R and Boudreau, Robert M and Odden, Michelle C and Zeki Al Hazzouri, Adina and Arnold, Alice M} } @article {7263, title = {Whole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Sep 01}, pages = {785}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.08.002}, author = {Polfus, Linda M and Khajuria, Rajiv K and Schick, Ursula M and Pankratz, Nathan and Pazoki, Raha and Brody, Jennifer A and Chen, Ming-Huei and Auer, Paul L and Floyd, James S and Huang, Jie and Lange, Leslie and van Rooij, Frank J A and Gibbs, Richard A and Metcalf, Ginger and Muzny, Donna and Veeraraghavan, Narayanan and Walter, Klaudia and Chen, Lu and Yanek, Lisa and Becker, Lewis C and Peloso, Gina M and Wakabayashi, Aoi and Kals, Mart and Metspalu, Andres and Esko, T{\~o}nu and Fox, Keolu and Wallace, Robert and Franceschini, Nora and Matijevic, Nena and Rice, Kenneth M and Bartz, Traci M and Lyytik{\"a}inen, Leo-Pekka and K{\"a}h{\"o}nen, Mika and Lehtim{\"a}ki, Terho and Raitakari, Olli T and Li-Gao, Ruifang and Mook-Kanamori, Dennis O and Lettre, Guillaume and van Duijn, Cornelia M and Franco, Oscar H and Rich, Stephen S and Rivadeneira, Fernando and Hofman, Albert and Uitterlinden, Andr{\'e} G and Wilson, James G and Psaty, Bruce M and Soranzo, Nicole and Dehghan, Abbas and Boerwinkle, Eric and Zhang, Xiaoling and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Johnsen, Jill M and Reiner, Alexander P and Ganesh, Santhi K and Sankaran, Vijay G} } @article {9462, title = {740 adults from 20 prospective cohort studies}, journal = {Lancet Diabetes Endocrinol}, volume = {5}, year = {2017}, month = {Dec}, pages = {965{\textendash}974}, abstract = {The metabolic effects of omega-6 polyunsaturated fatty acids (PUFAs) remain contentious, and little evidence is available regarding their potential role in primary prevention of type 2 diabetes. We aimed to assess the associations of linoleic acid and arachidonic acid biomarkers with incident type 2 diabetes.\ We did a pooled analysis of new, harmonised, individual-level analyses for the biomarkers linoleic acid and its metabolite arachidonic acid and incident type 2 diabetes. We analysed data from 20 prospective cohort studies from ten countries (Iceland, the Netherlands, the USA, Taiwan, the UK, Germany, Finland, Australia, Sweden, and France), with biomarkers sampled between 1970 and 2010. Participants included in the analyses were aged 18 years or older and had data available for linoleic acid and arachidonic acid biomarkers at baseline. We excluded participants with type 2 diabetes at baseline. The main outcome was the association between omega-6 PUFA biomarkers and incident type 2 diabetes. We assessed the relative risk of type 2 diabetes prospectively for each cohort and lipid compartment separately using a prespecified analytic plan for exposures, covariates, effect modifiers, and analysis, and the findings were then pooled using inverse-variance weighted meta-analysis.\ 13).\ Findings suggest that linoleic acid has long-term benefits for the prevention of type 2 diabetes and that arachidonic acid is not harmful.\ Funders are shown in the appendix.}, author = {Wu, J. H. Y. and Marklund, M. and Imamura, F. and Tintle, N. and Ardisson Korat, A. V. and de Goede, J. and Zhou, X. and Yang, W. S. and de Oliveira Otto, M. C. and ger, J. and Qureshi, W. and Virtanen, J. K. and Bassett, J. K. and Frazier-Wood, A. C. and Lankinen, M. and Murphy, R. A. and Rajaobelina, K. and Del Gobbo, L. C. and Forouhi, N. G. and Luben, R. and Khaw, K. T. and Wareham, N. and Kalsbeek, A. and Veenstra, J. and Luo, J. and Hu, F. B. and Lin, H. J. and Siscovick, D. S. and Boeing, H. and Chen, T. A. and Steffen, B. and Steffen, L. M. and Hodge, A. and Eriksdottir, G. and Smith, A. V. and Gudnason, V. and Harris, T. B. and Brouwer, I. A. and Berr, C. and Helmer, C. and Samieri, C. and Laakso, M. and Tsai, M. Y. and Giles, G. G. and Nurmi, T. and Wagenknecht, L. and Schulze, M. B. and Lemaitre, R. N. and Chien, K. L. and Soedamah-Muthu, S. S. and Geleijnse, J. M. and Sun, Q. and Harris, W. S. and Lind, L. and v, J. and Riserus, U. and Micha, R. and Mozaffarian, D.} } @article {7337, title = {Absolute Rates of Heart Failure, Coronary Heart Disease, and Stroke in Chronic Kidney Disease: An Analysis of 3 Community-Based Cohort Studies.}, journal = {JAMA Cardiol}, volume = {2}, year = {2017}, month = {2017 Mar 01}, pages = {314-318}, abstract = {

Importance: Cardiovascular disease is the leading cause of morbidity and mortality in patients with chronic kidney disease (CKD). Understanding the relative contributions of cardiovascular disease event types to the excess burden of cardiovascular disease is important for developing effective strategies to improve outcomes.

Objective: To determine absolute rates and risk differences of incident heart failure (HF), coronary heart disease (CHD), and stroke in participants with vs without CKD.

Design, Setting and Participants: We pooled participants without prevalent cardiovascular disease from 3 community-based cohort studies: the Jackson Heart Study, Cardiovascular Health Study, and Multi-Ethnic Study of Atherosclerosis. The Jackson Heart Study was conducted between 2000 and 2010, the Cardiovascular Health Study was conducted between 1989 and 2003, and the Multi-Ethnic Study of Atherosclerosis was conducted between 2000 and 2012.

Exposures: Chronic kidney disease was defined as estimated glomerular filtration rate less than 60 mL/min/1.73 m2, calculated using the combined creatinine-cystatin C CKD-Epidemiology Collaboration Equation.

Main Outcomes and Measures: Poisson regression was used to calculate incidence rates (IRs) and risk differences of adjudicated incident HF, CHD, and stroke, comparing participants with vs without CKD.

Results: Among 14 462 participants, the mean (SD) age was 63 (12) years, 59\% (n = 8533) were women, and 44\% (n = 6363) were African American. Overall, 1461 (10\%) had CKD (mean [SD] estimated glomerular filtration rate, 49 [10] mL/min/1.73 m2). Unadjusted IRs for participants with and without CKD, respectively, were 22.0 (95\% CI, 19.3-24.8) and 6.2 (95\% CI, 5.8-6.7) per 1000 person-years for HF; 24.5 (95\% CI, 21.6-27.5) and 8.4 (95\% CI, 7.9-9.0) per 1000 person-years for CHD; and 13.4 (95\% CI, 11.3-15.5) and 4.8 (95\% CI, 4.4-5.3) for stroke. Adjusting for demographics, cohort, hypertension, diabetes, hyperlipidemia, and tobacco use, risk differences comparing participants with vs without CKD (per 1000 person-years) were 2.3 (95\% CI, 1.2-3.3) for HF, 2.3 (95\% CI, 1.2-3.4) for CHD, and 0.8 (95\% CI, 0.09-1.5) for stroke. Among African American and Hispanic participants, adjusted risk differences comparing participants with vs without CKD for HF were 3.5 (95\% CI, 1.5-5.5) and 7.8 (95\% CI, 2.2-13.3) per 1000 person-years, respectively.

Conclusions and Relevance: Among 3 diverse community-based cohorts, CKD was associated with an increased risk of HF that was similar in magnitude to CHD and greater than stroke. The excess risk of HF associated with CKD was particularly large among African American and Hispanic individuals. Efforts to improve health outcomes for patients with CKD should prioritize HF in addition to CHD prevention.

}, issn = {2380-6591}, doi = {10.1001/jamacardio.2016.4652}, author = {Bansal, Nisha and Katz, Ronit and Robinson-Cohen, Cassianne and Odden, Michelle C and Dalrymple, Lorien and Shlipak, Michael G and Sarnak, Mark J and Siscovick, David S and Zelnick, Leila and Psaty, Bruce M and Kestenbaum, Bryan and Correa, Adolfo and Afkarian, Maryam and Young, Bessie and de Boer, Ian H} } @article {7567, title = {Age, Race and Gender Factors in Incident Disability.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2017}, month = {2017 Oct 13}, abstract = {

Background: Incident disability rates enable the comparison of risk across populations. Understanding these by age, sex and race is important for planning for the care of older adults and targeting prevention.

Methods: We calculated incident disability rates among older adults in the Cardiovascular Health Study, a study of 5,888 older adults aged >= 65 years over 6 years of follow-up. Disability was defined in 2 ways: 1) self-report of disability (severe difficulty or inability) in any of 6 ADLs, and 2) mobility difficulty (any difficulty walking half a mile or climbing 10 steps). Incident disability rates were calculated as events per 100 person years for age, gender and race groups.

Results: The incidence of ADL disability, and mobility difficulty were 2.7 (2.5-2.8), and 9.8 (9.4 -10.3) events per 100 person years. Women, older participants and blacks had higher rates in both domains.

Conclusion: Incidence rates are considerably different based on the domain examined as well as age, race and gender composition of the population. Prevention efforts should focus on high risk populations and attempt to ameliorate factors that increase risk in these groups.

}, issn = {1758-535X}, doi = {10.1093/gerona/glx194}, author = {Jacob, Mini E and Marron, Megan M and Boudreau, Robert and Odden, Michelle C and Arnold, Alice M and Newman, Anne B} } @article {7553, title = {Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Oct 27}, pages = {1560-1563}, issn = {1546-1718}, doi = {10.1038/ng.3968}, author = {Brody, Jennifer A and Morrison, Alanna C and Bis, Joshua C and O{\textquoteright}Connell, Jeffrey R and Brown, Michael R and Huffman, Jennifer E and Ames, Darren C and Carroll, Andrew and Conomos, Matthew P and Gabriel, Stacey and Gibbs, Richard A and Gogarten, Stephanie M and Gupta, Namrata and Jaquish, Cashell E and Johnson, Andrew D and Lewis, Joshua P and Liu, Xiaoming and Manning, Alisa K and Papanicolaou, George J and Pitsillides, Achilleas N and Rice, Kenneth M and Salerno, William and Sitlani, Colleen M and Smith, Nicholas L and Heckbert, Susan R and Laurie, Cathy C and Mitchell, Braxton D and Vasan, Ramachandran S and Rich, Stephen S and Rotter, Jerome I and Wilson, James G and Boerwinkle, Eric and Psaty, Bruce M and Cupples, L Adrienne} } @article {7594, title = {Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study.}, journal = {JAMA Oncol}, volume = {3}, year = {2017}, month = {2017 May 01}, pages = {636-651}, abstract = {

Importance: The causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation.

Objective: To conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases.

Data Sources: Genomewide association studies (GWAS) published up to January 15, 2015.

Study Selection: GWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available.

Data Extraction and Synthesis: Summary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population.

Main Outcomes and Measures: Odds ratios (ORs) and 95\% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation.

Results: Summary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95\% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer cancers and at tissue sites with lower rates of stem cell division. There was generally little evidence of association between genetically increased telomere length and risk of psychiatric, autoimmune, inflammatory, diabetic, and other non-neoplastic diseases, except for coronary heart disease (OR, 0.78 [95\% CI, 0.67-0.90]), abdominal aortic aneurysm (OR, 0.63 [95\% CI, 0.49-0.81]), celiac disease (OR, 0.42 [95\% CI, 0.28-0.61]) and interstitial lung disease (OR, 0.09 [95\% CI, 0.05-0.15]).

Conclusions and Relevance: It is likely that longer telomeres increase risk for several cancers but reduce risk for some non-neoplastic diseases, including cardiovascular diseases.

}, keywords = {Adult, Aged, Aged, 80 and over, Cardiovascular Diseases, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Germ-Line Mutation, Humans, Male, Mendelian Randomization Analysis, Middle Aged, Neoplasms, Polymorphism, Single Nucleotide, Risk Assessment, Telomere, Telomere Homeostasis}, issn = {2374-2445}, doi = {10.1001/jamaoncol.2016.5945}, author = {Haycock, Philip C and Burgess, Stephen and Nounu, Aayah and Zheng, Jie and Okoli, George N and Bowden, Jack and Wade, Kaitlin Hazel and Timpson, Nicholas J and Evans, David M and Willeit, Peter and Aviv, Abraham and Gaunt, Tom R and Hemani, Gibran and Mangino, Massimo and Ellis, Hayley Patricia and Kurian, Kathreena M and Pooley, Karen A and Eeles, Rosalind A and Lee, Jeffrey E and Fang, Shenying and Chen, Wei V and Law, Matthew H and Bowdler, Lisa M and Iles, Mark M and Yang, Qiong and Worrall, Bradford B and Markus, Hugh Stephen and Hung, Rayjean J and Amos, Chris I and Spurdle, Amanda B and Thompson, Deborah J and O{\textquoteright}Mara, Tracy A and Wolpin, Brian and Amundadottir, Laufey and Stolzenberg-Solomon, Rachael and Trichopoulou, Antonia and Onland-Moret, N Charlotte and Lund, Eiliv and Duell, Eric J and Canzian, Federico and Severi, Gianluca and Overvad, Kim and Gunter, Marc J and Tumino, Rosario and Svenson, Ulrika and van Rij, Andre and Baas, Annette F and Bown, Matthew J and Samani, Nilesh J and van t{\textquoteright}Hof, Femke N G and Tromp, Gerard and Jones, Gregory T and Kuivaniemi, Helena and Elmore, James R and Johansson, Mattias and Mckay, James and Scelo, Ghislaine and Carreras-Torres, Robert and Gaborieau, Valerie and Brennan, Paul and Bracci, Paige M and Neale, Rachel E and Olson, Sara H and Gallinger, Steven and Li, Donghui and Petersen, Gloria M and Risch, Harvey A and Klein, Alison P and Han, Jiali and Abnet, Christian C and Freedman, Neal D and Taylor, Philip R and Maris, John M and Aben, Katja K and Kiemeney, Lambertus A and Vermeulen, Sita H and Wiencke, John K and Walsh, Kyle M and Wrensch, Margaret and Rice, Terri and Turnbull, Clare and Litchfield, Kevin and Paternoster, Lavinia and Standl, Marie and Abecasis, Goncalo R and SanGiovanni, John Paul and Li, Yong and Mijatovic, Vladan and Sapkota, Yadav and Low, Siew-Kee and Zondervan, Krina T and Montgomery, Grant W and Nyholt, Dale R and van Heel, David A and Hunt, Karen and Arking, Dan E and Ashar, Foram N and Sotoodehnia, Nona and Woo, Daniel and Rosand, Jonathan and Comeau, Mary E and Brown, W Mark and Silverman, Edwin K and Hokanson, John E and Cho, Michael H and Hui, Jennie and Ferreira, Manuel A and Thompson, Philip J and Morrison, Alanna C and Felix, Janine F and Smith, Nicholas L and Christiano, Angela M and Petukhova, Lynn and Betz, Regina C and Fan, Xing and Zhang, Xuejun and Zhu, Caihong and Langefeld, Carl D and Thompson, Susan D and Wang, Feijie and Lin, Xu and Schwartz, David A and Fingerlin, Tasha and Rotter, Jerome I and Cotch, Mary Frances and Jensen, Richard A and Munz, Matthias and Dommisch, Henrik and Schaefer, Arne S and Han, Fang and Ollila, Hanna M and Hillary, Ryan P and Albagha, Omar and Ralston, Stuart H and Zeng, Chenjie and Zheng, Wei and Shu, Xiao-Ou and Reis, Andre and Uebe, Steffen and H{\"u}ffmeier, Ulrike and Kawamura, Yoshiya and Otowa, Takeshi and Sasaki, Tsukasa and Hibberd, Martin Lloyd and Davila, Sonia and Xie, Gang and Siminovitch, Katherine and Bei, Jin-Xin and Zeng, Yi-Xin and F{\"o}rsti, Asta and Chen, Bowang and Landi, Stefano and Franke, Andre and Fischer, Annegret and Ellinghaus, David and Flores, Carlos and Noth, Imre and Ma, Shwu-Fan and Foo, Jia Nee and Liu, Jianjun and Kim, Jong-Won and Cox, David G and Delattre, Olivier and Mirabeau, Olivier and Skibola, Christine F and Tang, Clara S and Garcia-Barcelo, Merce and Chang, Kai-Ping and Su, Wen-Hui and Chang, Yu-Sun and Martin, Nicholas G and Gordon, Scott and Wade, Tracey D and Lee, Chaeyoung and Kubo, Michiaki and Cha, Pei-Chieng and Nakamura, Yusuke and Levy, Daniel and Kimura, Masayuki and Hwang, Shih-Jen and Hunt, Steven and Spector, Tim and Soranzo, Nicole and Manichaikul, Ani W and Barr, R Graham and Kahali, Bratati and Speliotes, Elizabeth and Yerges-Armstrong, Laura M and Cheng, Ching-Yu and Jonas, Jost B and Wong, Tien Yin and Fogh, Isabella and Lin, Kuang and Powell, John F and Rice, Kenneth and Relton, Caroline L and Martin, Richard M and Davey Smith, George} } @article {7362, title = {Association of Blood Pressure Trajectory With Mortality, Incident Cardiovascular Disease, and Heart Failure in the Cardiovascular Health Study.}, journal = {Am J Hypertens}, year = {2017}, month = {2017 Mar 10}, abstract = {

BACKGROUND: Common blood pressure (BP) trajectories are not well established in elderly persons, and their association with clinical outcomes is uncertain.

METHODS: We used hierarchical cluster analysis to identify discrete BP trajectories among 4,067 participants in the Cardiovascular Health Study using repeated BP measures from years 0 to 7. We then evaluated associations of each BP trajectory cluster with all-cause mortality, incident cardiovascular disease (CVD, defined as stroke or myocardial infarction) (N = 2,837), and incident congestive heart failure (HF) (N = 3,633) using Cox proportional hazard models.

RESULTS: Median age was 77 years at year 7. Over a median 9.3 years of follow-up, there were 2,475 deaths, 659 CVD events, and 1,049 HF events. The cluster analysis identified 3 distinct trajectory groups. Participants in cluster 1 (N = 1,838) had increases in both systolic (SBP) and diastolic (DBP) BPs, whereas persons in cluster 2 (N = 1,109) had little change in SBP but declines in DBP. Persons in cluster 3 (N = 1,120) experienced declines in both SBP and DBP. After multivariable adjustment, clusters 2 and 3 were associated with increased mortality risk relative to cluster 1 (hazard ratio = 1.21, 95\% confidence interval: 1.06-1.37 and hazard ratio = 1.20, 95\% confidence interval: 1.05-1.36, respectively). Compared to cluster 1, cluster 3 had higher rates of incident CVD but associations were not statistically significant in demographic-adjusted models (hazard ratio = 1.16, 95\% confidence interval: 0.96-1.39). Findings were similar when stratified by use of antihypertensive therapy.

CONCLUSIONS: Among community-dwelling elders, distinct BP trajectories were identified by integrating both SBP and DBP. These clusters were found to have differential associations with outcomes.

}, issn = {1941-7225}, doi = {10.1093/ajh/hpx028}, author = {Smitson, Christopher C and Scherzer, Rebecca and Shlipak, Michael G and Psaty, Bruce M and Newman, Anne B and Sarnak, Mark J and Odden, Michelle C and Peralta, Carmen A} } @article {7442, title = {Association of Coronary Artery Calcium Score vs Age With Cardiovascular Risk in Older Adults: An Analysis of Pooled Population-Based Studies.}, journal = {JAMA Cardiol}, year = {2017}, month = {2017 Jul 26}, abstract = {

Importance: Besides age, other discriminators of atherosclerotic cardiovascular disease (ASCVD) risk are needed in older adults.

Objectives: To examine the predictive ability of coronary artery calcium (CAC) score vs age for incident ASCVD and how risk prediction changes by adding CAC score and removing only age from prediction models.

Design, Setting, and Participants: We conducted an analysis of pooled US population-based studies, including the Framingham Heart Study, the Multi-Ethnic Study of Atherosclerosis, and the Cardiovascular Health Study. Results were compared with 2 European cohorts, the Rotterdam Study and the Heinz Nixdorf Recall Study. Participants underwent CAC scoring between 1998 and 2006 using cardiac computed tomography. The participants included adults older than 60 years without known ASCVD at baseline.

Exposures: Coronary artery calcium scores.

Main Outcomes and Measures: Incident ASCVD events including coronary heart disease (CHD) and stroke.

Results: The study included 4778 participants from 3 US cohorts, with a mean age of 70.1 years; 2582 (54.0\%) were women, and 2431 (50.9\%) were nonwhite. Over 11 years of follow-up (44 152 person-years), 405 CHD and 228 stroke events occurred. Coronary artery calcium score (vs age) had a greater association with incident CHD (C statistic, 0.733 vs 0.690; C statistics difference, 0.043; 95\% CI of difference, 0.009-0.075) and modestly improved prediction of incident stroke (C statistic, 0.695 vs 0.670; C statistics difference, 0.025; 95\% CI of difference, -0.015 to 0.064). Adding CAC score to models including traditional cardiovascular risk factors, with only age being removed, provided improved discrimination for incident CHD (C statistic, 0.735 vs 0.703; C statistics difference, 0.032; 95\% CI of difference, 0.002-0.062) but not for stroke. Coronary artery calcium score was more likely than age to provide higher category-free net reclassification improvement among participants who experienced an ASCVD event (0.390; 95\% CI, 0.312-0.467 vs 0.08; 95\% CI -0.001 to 0.181) and to result in more accurate reclassification of risk for ASCVD events among these individuals. The findings were similar in the 2 European cohorts (n = 4990).

Conclusions and Relevance: Coronary artery calcium may be an alternative marker besides age to better discriminate between lower and higher CHD risk in older adults. Whether CAC score can assist in guiding the decision to initiate statin treatment for primary prevention in older adults requires further investigation.

}, issn = {2380-6591}, doi = {10.1001/jamacardio.2017.2498}, author = {Yano, Yuichiro and O{\textquoteright}Donnell, Christopher J and Kuller, Lewis and Kavousi, Maryam and Erbel, Raimund and Ning, Hongyan and D{\textquoteright}Agostino, Ralph and Newman, Anne B and Nasir, Khurram and Hofman, Albert and Lehmann, Nils and Dhana, Klodian and Blankstein, Ron and Hoffmann, Udo and M{\"o}hlenkamp, Stefan and Massaro, Joseph M and Mahabadi, Amir-Abbas and Lima, Jo{\~a}o A C and Ikram, M Arfan and J{\"o}ckel, Karl-Heinz and Franco, Oscar H and Liu, Kiang and Lloyd-Jones, Donald and Greenland, Philip} } @article {7574, title = {Automatic identification of variables in epidemiological datasets using logic regression.}, journal = {BMC Med Inform Decis Mak}, volume = {17}, year = {2017}, month = {2017 Apr 13}, pages = {40}, abstract = {

BACKGROUND: For an individual participant data (IPD) meta-analysis, multiple datasets must be transformed in a consistent format, e.g. using uniform variable names. When large numbers of datasets have to be processed, this can be a time-consuming and error-prone task. Automated or semi-automated identification of variables can help to reduce the workload and improve the data quality. For semi-automation high sensitivity in the recognition of matching variables is particularly important, because it allows creating software which for a target variable presents a choice of source variables, from which a user can choose the matching one, with only low risk of having missed a correct source variable.

METHODS: For each variable in a set of target variables, a number of simple rules were manually created. With logic regression, an optimal Boolean combination of these rules was searched for every target variable, using a random subset of a large database of epidemiological and clinical cohort data (construction subset). In a second subset of this database (validation subset), this optimal combination rules were validated.

RESULTS: In the construction sample, 41 target variables were allocated on average with a positive predictive value (PPV) of 34\%, and a negative predictive value (NPV) of 95\%. In the validation sample, PPV was 33\%, whereas NPV remained at 94\%. In the construction sample, PPV was 50\% or less in 63\% of all variables, in the validation sample in 71\% of all variables.

CONCLUSIONS: We demonstrated that~the application of logic regression in a complex data management task in large epidemiological IPD meta-analyses is feasible. However, the performance of the algorithm is poor, which may require backup strategies.

}, issn = {1472-6947}, doi = {10.1186/s12911-017-0429-1}, author = {Lorenz, Matthias W and Abdi, Negin Ashtiani and Scheckenbach, Frank and Pflug, Anja and B{\"u}lb{\"u}l, Alpaslan and Catapano, Alberico L and Agewall, Stefan and Ezhov, Marat and Bots, Michiel L and Kiechl, Stefan and Orth, Andreas} } @article {7502, title = {Comparing methods to address bias in observational data: statin use and cardiovascular events in a US cohort.}, journal = {Int J Epidemiol}, year = {2017}, month = {2017 Sep 08}, abstract = {

Background: The theoretical conditions under which causal estimates can be derived from observational data are challenging to achieve in the real world. Applied examples can help elucidate the practical limitations of methods to estimate randomized-controlled trial effects from observational data.

Methods: We used six methods with varying design and analytic features to compare the 5-year risk of incident myocardial infarction among statin users and non-users, and used non-cardiovascular mortality as a negative control outcome. Design features included restriction to a statin-eligible population and new users only; analytic features included multivariable adjustment and propensity score matching.

Results: We used data from 5294 participants in the Cardiovascular Health Study from 1989 to 2004. For non-cardiovascular mortality, most methods produced protective estimates with confidence intervals that crossed the null. The hazard ratio (HR) was 0.92, 95\% confidence interval: 0.58, 1.46 using propensity score matching among eligible new users. For myocardial infarction, all estimates were strongly protective; the propensity score-matched analysis among eligible new users resulted in a HR of 0.55 (0.29, 1.05)-a much stronger association than observed in randomized controlled trials.

Conclusions: In designs that compare active treatment with non-treated participants to evaluate effectiveness, methods to address bias in observational data may be limited in real-world settings by residual bias.

}, issn = {1464-3685}, doi = {10.1093/ije/dyx179}, author = {Kaiser, Paulina and Arnold, Alice M and Benkeser, David and Zeki Al Hazzouri, Adina and Hirsch, Calvin H and Psaty, Bruce M and Odden, Michelle C} } @article {7343, title = {Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study.}, journal = {PLoS One}, volume = {12}, year = {2017}, month = {2017}, pages = {e0167742}, abstract = {

An increasing number of genome-wide association (GWA) studies are now using the higher resolution 1000 Genomes Project reference panel (1000G) for imputation, with the expectation that 1000G imputation will lead to the discovery of additional associated loci when compared to HapMap imputation. In order to assess the improvement of 1000G over HapMap imputation in identifying associated loci, we compared the results of GWA studies of circulating fibrinogen based on the two reference panels. Using both HapMap and 1000G imputation we performed a meta-analysis of 22 studies comprising the same 91,953 individuals. We identified six additional signals using 1000G imputation, while 29 loci were associated using both HapMap and 1000G imputation. One locus identified using HapMap imputation was not significant using 1000G imputation. The genome-wide significance threshold of 5{\texttimes}10-8 is based on the number of independent statistical tests using HapMap imputation, and 1000G imputation may lead to further independent tests that should be corrected for. When using a stricter Bonferroni correction for the 1000G GWA study (P-value < 2.5{\texttimes}10-8), the number of loci significant only using HapMap imputation increased to 4 while the number of loci significant only using 1000G decreased to 5. In conclusion, 1000G imputation enabled the identification of 20\% more loci than HapMap imputation, although the advantage of 1000G imputation became less clear when a stricter Bonferroni correction was used. More generally, our results provide insights that are applicable to the implementation of other dense reference panels that are under development.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0167742}, author = {de Vries, Paul S and Sabater-Lleal, Maria and Chasman, Daniel I and Trompet, Stella and Ahluwalia, Tarunveer S and Teumer, Alexander and Kleber, Marcus E and Chen, Ming-Huei and Wang, Jie Jin and Attia, John R and Marioni, Riccardo E and Steri, Maristella and Weng, Lu-Chen and Pool, Rene and Grossmann, Vera and Brody, Jennifer A and Venturini, Cristina and Tanaka, Toshiko and Rose, Lynda M and Oldmeadow, Christopher and Mazur, Johanna and Basu, Saonli and Fr{\r a}nberg, Mattias and Yang, Qiong and Ligthart, Symen and Hottenga, Jouke J and Rumley, Ann and Mulas, Antonella and de Craen, Anton J M and Grotevendt, Anne and Taylor, Kent D and Delgado, Graciela E and Kifley, Annette and Lopez, Lorna M and Berentzen, Tina L and Mangino, Massimo and Bandinelli, Stefania and Morrison, Alanna C and Hamsten, Anders and Tofler, Geoffrey and de Maat, Moniek P M and Draisma, Harmen H M and Lowe, Gordon D and Zoledziewska, Magdalena and Sattar, Naveed and Lackner, Karl J and V{\"o}lker, Uwe and McKnight, Barbara and Huang, Jie and Holliday, Elizabeth G and McEvoy, Mark A and Starr, John M and Hysi, Pirro G and Hernandez, Dena G and Guan, Weihua and Rivadeneira, Fernando and McArdle, Wendy L and Slagboom, P Eline and Zeller, Tanja and Psaty, Bruce M and Uitterlinden, Andr{\'e} G and de Geus, Eco J C and Stott, David J and Binder, Harald and Hofman, Albert and Franco, Oscar H and Rotter, Jerome I and Ferrucci, Luigi and Spector, Tim D and Deary, Ian J and M{\"a}rz, Winfried and Greinacher, Andreas and Wild, Philipp S and Cucca, Francesco and Boomsma, Dorret I and Watkins, Hugh and Tang, Weihong and Ridker, Paul M and Jukema, Jan W and Scott, Rodney J and Mitchell, Paul and Hansen, Torben and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Strachan, David P and Dehghan, Abbas} } @article {7340, title = {The complex genetics of gait speed: genome-wide meta-analysis approach.}, journal = {Aging (Albany NY)}, volume = {9}, year = {2017}, month = {2017 Jan 10}, pages = {209-246}, abstract = {

Emerging evidence suggests that the basis for variation in late-life mobility is attributable, in part, to genetic factors, which may become increasingly important with age. Our objective was to systematically assess the contribution of genetic variation to gait speed in older individuals. We conducted a meta-analysis of gait speed GWASs in 31,478 older adults from 17 cohorts of the CHARGE consortium, and validated our results in 2,588 older adults from 4 independent studies. We followed our initial discoveries with network and eQTL analysis of candidate signals in tissues. The meta-analysis resulted in a list of 536 suggestive genome wide significant SNPs in or near 69 genes. Further interrogation with Pathway Analysis placed gait speed as a polygenic complex trait in five major networks. Subsequent eQTL analysis revealed several SNPs significantly associated with the expression of PRSS16, WDSUB1 and PTPRT, which in addition to the meta-analysis and pathway suggested that genetic effects on gait speed may occur through synaptic function and neuronal development pathways. No genome-wide significant signals for gait speed were identified from this moderately large sample of older adults, suggesting that more refined physical function phenotypes will be needed to identify the genetic basis of gait speed in aging.

}, issn = {1945-4589}, doi = {10.18632/aging.101151}, author = {Ben-Avraham, Dan and Karasik, David and Verghese, Joe and Lunetta, Kathryn L and Smith, Jennifer A and Eicher, John D and Vered, Rotem and Deelen, Joris and Arnold, Alice M and Buchman, Aron S and Tanaka, Toshiko and Faul, Jessica D and Nethander, Maria and Fornage, Myriam and Adams, Hieab H and Matteini, Amy M and Callisaya, Michele L and Smith, Albert V and Yu, Lei and De Jager, Philip L and Evans, Denis A and Gudnason, Vilmundur and Hofman, Albert and Pattie, Alison and Corley, Janie and Launer, Lenore J and Knopman, Davis S and Parimi, Neeta and Turner, Stephen T and Bandinelli, Stefania and Beekman, Marian and Gutman, Danielle and Sharvit, Lital and Mooijaart, Simon P and Liewald, David C and Houwing-Duistermaat, Jeanine J and Ohlsson, Claes and Moed, Matthijs and Verlinden, Vincent J and Mellstr{\"o}m, Dan and van der Geest, Jos N and Karlsson, Magnus and Hernandez, Dena and McWhirter, Rebekah and Liu, Yongmei and Thomson, Russell and Tranah, Gregory J and Uitterlinden, Andr{\'e} G and Weir, David R and Zhao, Wei and Starr, John M and Johnson, Andrew D and Ikram, M Arfan and Bennett, David A and Cummings, Steven R and Deary, Ian J and Harris, Tamara B and Kardia, Sharon L R and Mosley, Thomas H and Srikanth, Velandai K and Windham, Beverly G and Newman, Ann B and Walston, Jeremy D and Davies, Gail and Evans, Daniel S and Slagboom, Eline P and Ferrucci, Luigi and Kiel, Douglas P and Murabito, Joanne M and Atzmon, Gil} } @article {7352, title = {Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African ancestry anthropometry genetics consortium.}, journal = {PLoS Genet}, volume = {13}, year = {2017}, month = {2017 Apr 21}, pages = {e1006719}, abstract = {

Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMI and eight previously established loci at P < 5{\texttimes}10-8: seven for BMI, and one for WHRadjBMI in African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMI when combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI (SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (<5\%). In the trans-ethnic fine mapping of 47 BMI loci and 27 WHRadjBMI loci that were locus-wide significant (P < 0.05 adjusted for effective number of variants per locus) from the African ancestry sex-combined and sex-stratified analyses, 26 BMI loci and 17 WHRadjBMI loci contained <= 20 variants in the credible sets that jointly account for 99\% posterior probability of driving the associations. The lead variants in 13 of these loci had a high probability of being causal. As compared to our previous HapMap imputed GWAS for BMI and WHRadjBMI including up to 71,412 and 27,350 African ancestry individuals, respectively, our results suggest that 1000 Genomes imputation showed modest improvement in identifying GWAS loci including low frequency variants. Trans-ethnic meta-analyses further improved fine mapping of putative causal variants in loci shared between the African and European ancestry populations.

}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006719}, author = {Ng, Maggie C Y and Graff, Mariaelisa and Lu, Yingchang and Justice, Anne E and Mudgal, Poorva and Liu, Ching-Ti and Young, Kristin and Yanek, Lisa R and Feitosa, Mary F and Wojczynski, Mary K and Rand, Kristin and Brody, Jennifer A and Cade, Brian E and Dimitrov, Latchezar and Duan, Qing and Guo, Xiuqing and Lange, Leslie A and Nalls, Michael A and Okut, Hayrettin and Tajuddin, Salman M and Tayo, Bamidele O and Vedantam, Sailaja and Bradfield, Jonathan P and Chen, Guanjie and Chen, Wei-Min and Chesi, Alessandra and Irvin, Marguerite R and Padhukasahasram, Badri and Smith, Jennifer A and Zheng, Wei and Allison, Matthew A and Ambrosone, Christine B and Bandera, Elisa V and Bartz, Traci M and Berndt, Sonja I and Bernstein, Leslie and Blot, William J and Bottinger, Erwin P and Carpten, John and Chanock, Stephen J and Chen, Yii-Der Ida and Conti, David V and Cooper, Richard S and Fornage, Myriam and Freedman, Barry I and Garcia, Melissa and Goodman, Phyllis J and Hsu, Yu-Han H and Hu, Jennifer and Huff, Chad D and Ingles, Sue A and John, Esther M and Kittles, Rick and Klein, Eric and Li, Jin and McKnight, Barbara and Nayak, Uma and Nemesure, Barbara and Ogunniyi, Adesola and Olshan, Andrew and Press, Michael F and Rohde, Rebecca and Rybicki, Benjamin A and Salako, Babatunde and Sanderson, Maureen and Shao, Yaming and Siscovick, David S and Stanford, Janet L and Stevens, Victoria L and Stram, Alex and Strom, Sara S and Vaidya, Dhananjay and Witte, John S and Yao, Jie and Zhu, Xiaofeng and Ziegler, Regina G and Zonderman, Alan B and Adeyemo, Adebowale and Ambs, Stefan and Cushman, Mary and Faul, Jessica D and Hakonarson, Hakon and Levin, Albert M and Nathanson, Katherine L and Ware, Erin B and Weir, David R and Zhao, Wei and Zhi, Degui and Arnett, Donna K and Grant, Struan F A and Kardia, Sharon L R and Oloapde, Olufunmilayo I and Rao, D C and Rotimi, Charles N and Sale, Mich{\`e}le M and Williams, L Keoki and Zemel, Babette S and Becker, Diane M and Borecki, Ingrid B and Evans, Michele K and Harris, Tamara B and Hirschhorn, Joel N and Li, Yun and Patel, Sanjay R and Psaty, Bruce M and Rotter, Jerome I and Wilson, James G and Bowden, Donald W and Cupples, L Adrienne and Haiman, Christopher A and Loos, Ruth J F and North, Kari E} } @article {7346, title = {Discovery and fine-mapping of loci associated with monounsaturated fatty acids through trans-ethnic meta-analysis in Chinese and European populations.}, journal = {J Lipid Res}, year = {2017}, month = {2017 Mar 15}, abstract = {

Monounsaturated fatty acids (MUFAs) are unsaturated fatty acids with one double bond and are derived from endogenous synthesis and dietary intake. Accumulating evidence has suggested that plasma and erythrocyte MUFA levels were associated with cardiometabolic disorders including cardiovascular disease (CVD), type 2 diabetes (T2D) and metabolic syndrome (MS). Previous genome-wide association studies (GWAS) have identified seven loci for plasma and erythrocyte palmitoleic acid and oleic acid levels in populations of European origin. To identify additional MUFA-associated loci and the potential causal variant at each locus, we performed ethnic-specific GWAS meta-analyses and trans-ethnic meta-analyses in over 15,000 participants of Chinese- and European-ancestry. We identified novel genome-wide significant associations for vaccenic acid at FADS1/2 and PKD2L1 [log10(Bayes factor)>=8.07] and for gondoic acid at FADS1/2 and GCKR [log10(Bayes factor)>=61619;6.22], and also observed improved fine-mapping resolutions at FADS1/2 and GCKR loci. The greatest improvement was observed at GCKR, where the number of variants in the 99\% credible set was reduced from 16 (covering ~95kb) to five (covering ~20kb, including a missense variant rs1260326) after trans-ethnic meta-analysis. We also confirmed the previously reported associations of PKD2L1, FADS1/2, GCKR and HIF1AN with palmitoleic acid and of FADS1/2 and LPCAT3 with oleic acid in the Chinese-specific GWAS and trans-ethnic meta-analyses. Pathway-based analyses suggested that the identified loci were enriched in unsaturated fatty acids metabolism and signaling pathways. Our findings provided novel insight into the genetic basis relevant to MUFA metabolism and biology.

}, issn = {1539-7262}, doi = {10.1194/jlr.P071860}, author = {Hu, Yao and Tanaka, Toshiko and Zhu, Jingwen and Guan, Weihua and Wu, Jason H Y and Psaty, Bruce M and McKnight, Barbara and King, Irena B and Sun, Qi and Richard, Melissa and Manichaikul, Ani and Frazier-Wood, Alexis C and Kabagambe, Edmond K and Hopkins, Paul N and Ordovas, Jose M and Ferrucci, Luigi and Bandinelli, Stefania and Arnett, Donna K and Chen, Yii-der I and Liang, Shuang and Siscovick, David S and Tsai, Michael Y and Rich, Stephen S and Fornage, Myriam and Hu, Frank B and Rimm, Eric B and Jensen, Majken K and Lemaitre, Rozenn N and Mozaffarian, Dariush and Steffen, Lyn M and Morris, Andrew P and Li, Huaixing and Lin, Xu} } @article {7566, title = {Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals.}, journal = {BioData Min}, volume = {10}, year = {2017}, month = {2017}, pages = {25}, abstract = {

BACKGROUND: The genetic etiology of human lipid quantitative traits is not fully elucidated, and interactions between variants may play a role. We performed a gene-centric interaction study for four different lipid traits: low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglycerides (TG).

RESULTS: Our analysis consisted of a discovery phase using a merged dataset of five different cohorts (n~=~12,853 to n~=~16,849 depending on lipid phenotype) and a replication phase with ten independent cohorts totaling up to 36,938 additional samples. Filters are often applied before interaction testing to correct for the burden of testing all pairwise interactions. We used two different filters: 1. A filter that tested only single nucleotide polymorphisms (SNPs) with a main effect of p~<~0.001 in a previous association study. 2. A filter that only tested interactions identified by Biofilter 2.0. Pairwise models that reached an interaction significance level of p~<~0.001 in the discovery dataset were tested for replication. We identified thirteen SNP-SNP models that were significant in more than one replication cohort after accounting for multiple testing.

CONCLUSIONS: These results may reveal novel insights into the genetic etiology of lipid levels. Furthermore, we developed a pipeline to perform a computationally efficient interaction analysis with multi-cohort replication.

}, issn = {1756-0381}, doi = {10.1186/s13040-017-0145-5}, author = {Holzinger, Emily R and Verma, Shefali S and Moore, Carrie B and Hall, Molly and De, Rishika and Gilbert-Diamond, Diane and Lanktree, Matthew B and Pankratz, Nathan and Amuzu, Antoinette and Burt, Amber and Dale, Caroline and Dudek, Scott and Furlong, Clement E and Gaunt, Tom R and Kim, Daniel Seung and Riess, Helene and Sivapalaratnam, Suthesh and Tragante, Vinicius and van Iperen, Erik P A and Brautbar, Ariel and Carrell, David S and Crosslin, David R and Jarvik, Gail P and Kuivaniemi, Helena and Kullo, Iftikhar J and Larson, Eric B and Rasmussen-Torvik, Laura J and Tromp, Gerard and Baumert, Jens and Cruickshanks, Karen J and Farrall, Martin and Hingorani, Aroon D and Hovingh, G K and Kleber, Marcus E and Klein, Barbara E and Klein, Ronald and Koenig, Wolfgang and Lange, Leslie A and Mӓrz, Winfried and North, Kari E and Charlotte Onland-Moret, N and Reiner, Alex P and Talmud, Philippa J and van der Schouw, Yvonne T and Wilson, James G and Kivimaki, Mika and Kumari, Meena and Moore, Jason H and Drenos, Fotios and Asselbergs, Folkert W and Keating, Brendan J and Ritchie, Marylyn D} } @article {7363, title = {Discovery of novel heart rate-associated loci using the Exome Chip.}, journal = {Hum Mol Genet}, year = {2017}, month = {2017 Apr 03}, abstract = {

Background Resting heart rate is a heritable trait, and an increase in heart rate is associated with increased mortality risk. GWAS analyses have found loci associated with resting heart rate, at the time of our study these loci explained 0.9\% of the variation.Aim To discover new genetic loci associated with heart rate from Exome Chip meta-analyses.Methods Heart rate was measured from either elecrtrocardiograms or pulse recordings. We meta-analysed heart rate association results from 104,452 European-ancestry individuals from 30 cohorts, genotyped using the Exome Chip. Twenty-four variants were selected for follow-up in an independent dataset (UK Biobank, N = 134,251). Conditional and gene-based testing was undertaken, and variants were investigated with bioinformatics methods.Results We discovered five novel heart rate loci, and one new independent low-frequency non-synonymous variant in an established heart rate locus (KIAA1755). Lead variants in four of the novel loci are non-synonymous variants in the genes C10orf71, DALDR3, TESK2, SEC31B. The variant at SEC31B is significantly associated with SEC31B expression in heart and tibial nerve tissue. Further candidate genes were detected from long range regulatory chromatin interactions in heart tissue (SCD, SLF2, MAPK8). We observed significant enrichment in DNase I hypersensitive sites in fetal heart and lung. Moreover, enrichment was seen for the first time in human neuronal progenitor cells (derived from embryonic stem cells) and fetal muscle samples by including our novel variants.Conclusion Our findings advance the knowledge of the genetic architecture of heart rate, and indicate new candidate genes for follow-up functional studies.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddx113}, author = {van den Berg, Marten E and Warren, Helen R and Cabrera, Claudia P and Verweij, Niek and Mifsud, Borbala and Haessler, Jeffrey and Bihlmeyer, Nathan A and Fu, Yi-Ping and Weiss, Stefan and Lin, Henry J and Grarup, Niels and Li-Gao, Ruifang and Pistis, Giorgio and Shah, Nabi and Brody, Jennifer A and M{\"u}ller-Nurasyid, Martina and Lin, Honghuang and Mei, Hao and Smith, Albert V and Lyytik{\"a}inen, Leo-Pekka and Hall, Leanne M and van Setten, Jessica and Trompet, Stella and Prins, Bram P and Isaacs, Aaron and Radmanesh, Farid and Marten, Jonathan and Entwistle, Aiman and Kors, Jan A and Silva, Claudia T and Alonso, Alvaro and Bis, Joshua C and de Boer, Rudolf and de Haan, Hugoline G and de Mutsert, Ren{\'e}e and Dedoussis, George and Dominiczak, Anna F and Doney, Alex S F and Ellinor, Patrick T and Eppinga, Ruben N and Felix, Stephan B and Guo, Xiuqing and Hagemeijer, Yanick and Hansen, Torben and Harris, Tamara B and Heckbert, Susan R and Huang, Paul L and Hwang, Shih-Jen and K{\"a}h{\"o}nen, Mika and Kanters, J{\o}rgen K and Kolcic, Ivana and Launer, Lenore J and Li, Man and Yao, Jie and Linneberg, Allan and Liu, Simin and Macfarlane, Peter W and Mangino, Massimo and Morris, Andrew D and Mulas, Antonella and Murray, Alison D and Nelson, Christopher P and Orr{\`u}, Marco and Padmanabhan, Sandosh and Peters, Annette and Porteous, David J and Poulter, Neil and Psaty, Bruce M and Qi, Lihong and Raitakari, Olli T and Rivadeneira, Fernando and Roselli, Carolina and Rudan, Igor and Sattar, Naveed and Sever, Peter and Sinner, Moritz F and Soliman, Elsayed Z and Spector, Timothy D and Stanton, Alice V and Stirrups, Kathleen E and Taylor, Kent D and Tobin, Martin D and Uitterlinden, Andre and Vaartjes, Ilonca and Hoes, Arno W and van der Meer, Peter and V{\"o}lker, Uwe and Waldenberger, Melanie and Xie, Zhijun and Zoledziewska, Magdalena and Tinker, Andrew and Polasek, Ozren and Rosand, Jonathan and Jamshidi, Yalda and van Duijn, Cornelia M and Zeggini, Eleftheria and Wouter Jukema, J and Asselbergs, Folkert W and Samani, Nilesh J and Lehtim{\"a}ki, Terho and Gudnason, Vilmundur and Wilson, James and Lubitz, Steven A and K{\"a}{\"a}b, Stefan and Sotoodehnia, Nona and Caulfield, Mark J and Palmer, Colin N A and Sanna, Serena and Mook-Kanamori, Dennis O and Deloukas, Panos and Pedersen, Oluf and Rotter, Jerome I and D{\"o}rr, Marcus and O{\textquoteright}Donnell, Chris J and Hayward, Caroline and Arking, Dan E and Kooperberg, Charles and van der Harst, Pim and Eijgelsheim, Mark and Stricker, Bruno H and Munroe, Patricia B} } @article {7583, title = {DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation.}, journal = {Am J Hum Genet}, volume = {101}, year = {2017}, month = {2017 Dec 07}, pages = {888-902}, abstract = {

Genome-wide association studies have identified hundreds of genetic variants associated with blood pressure (BP), but sequence variation accounts for a small fraction of the phenotypic variance. Epigenetic changes may alter the expression of genes involved in BP regulation and explain part of the missing heritability. We therefore conducted a two-stage meta-analysis of the cross-sectional associations of systolic and diastolic BP with blood-derived genome-wide DNA methylation measured on the Infinium HumanMethylation450 BeadChip in 17,010 individuals of European, African American, and Hispanic ancestry. Of 31 discovery-stage cytosine-phosphate-guanine (CpG) dinucleotides, 13 replicated after Bonferroni correction (discovery: N = 9,828, p < 1.0~{\texttimes} 10-7; replication: N = 7,182, p~<~1.6~{\texttimes} 10-3). The replicated methylation sites are heritable (h2 > 30\%) and independent of known BP genetic variants, explaining an additional 1.4\% and 2.0\% of the interindividual variation in systolic and diastolic BP, respectively. Bidirectional Mendelian randomization among up to 4,513 individuals of European ancestry from 4 cohorts suggested that methylation at cg08035323 (TAF1B-YWHAQ) influences BP, while BP influences methylation at cg00533891 (ZMIZ1), cg00574958 (CPT1A), and cg02711608 (SLC1A5). Gene expression analyses further identified six genes (TSPAN2, SLC7A11, UNC93B1, CPT1A, PTMS, and LPCAT3) with evidence of triangular associations between methylation, gene expression, and BP. Additional integrative Mendelian randomization analyses of gene expression and DNA methylation suggested that the expression of TSPAN2 is a putative mediator of association between DNA methylation at cg23999170 and BP. These findings suggest that heritable DNA methylation plays a role in regulating BP independently of previously known genetic variants.

}, keywords = {Aged, Blood Pressure, CpG Islands, Cross-Sectional Studies, DNA Methylation, Epigenesis, Genetic, Genetic Variation, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Middle Aged, Nerve Tissue Proteins, Quantitative Trait Loci, Tetraspanins}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2017.09.028}, author = {Richard, Melissa A and Huan, Tianxiao and Ligthart, Symen and Gondalia, Rahul and Jhun, Min A and Brody, Jennifer A and Irvin, Marguerite R and Marioni, Riccardo and Shen, Jincheng and Tsai, Pei-Chien and Montasser, May E and Jia, Yucheng and Syme, Catriona and Salfati, Elias L and Boerwinkle, Eric and Guan, Weihua and Mosley, Thomas H and Bressler, Jan and Morrison, Alanna C and Liu, Chunyu and Mendelson, Michael M and Uitterlinden, Andr{\'e} G and van Meurs, Joyce B and Franco, Oscar H and Zhang, Guosheng and Li, Yun and Stewart, James D and Bis, Joshua C and Psaty, Bruce M and Chen, Yii-Der Ida and Kardia, Sharon L R and Zhao, Wei and Turner, Stephen T and Absher, Devin and Aslibekyan, Stella and Starr, John M and McRae, Allan F and Hou, Lifang and Just, Allan C and Schwartz, Joel D and Vokonas, Pantel S and Menni, Cristina and Spector, Tim D and Shuldiner, Alan and Damcott, Coleen M and Rotter, Jerome I and Palmas, Walter and Liu, Yongmei and Paus, Tom{\'a}{\v s} and Horvath, Steve and O{\textquoteright}Connell, Jeffrey R and Guo, Xiuqing and Pausova, Zdenka and Assimes, Themistocles L and Sotoodehnia, Nona and Smith, Jennifer A and Arnett, Donna K and Deary, Ian J and Baccarelli, Andrea A and Bell, Jordana T and Whitsel, Eric and Dehghan, Abbas and Levy, Daniel and Fornage, Myriam} } @article {7573, title = {Exome-wide association study of plasma lipids in >300,000 individuals.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Dec}, pages = {1758-1766}, abstract = {

We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD); (ii) excluding the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (iii) only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and (iv) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (TM6SF2 and PNPLA3) tracked with higher liver fat, higher risk for T2D, and lower risk for CAD, whereas TG-lowering alleles involved in peripheral lipolysis (LPL and ANGPTL4) had no effect on liver fat but decreased risks for both T2D and CAD.

}, keywords = {Coronary Artery Disease, Diabetes Mellitus, Type 2, Exome, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Genotype, Humans, Lipids, Macular Degeneration, Phenotype, Risk Factors}, issn = {1546-1718}, doi = {10.1038/ng.3977}, author = {Liu, Dajiang J and Peloso, Gina M and Yu, Haojie and Butterworth, Adam S and Wang, Xiao and Mahajan, Anubha and Saleheen, Danish and Emdin, Connor and Alam, Dewan and Alves, Alexessander Couto and Amouyel, Philippe and Di Angelantonio, Emanuele and Arveiler, Dominique and Assimes, Themistocles L and Auer, Paul L and Baber, Usman and Ballantyne, Christie M and Bang, Lia E and Benn, Marianne and Bis, Joshua C and Boehnke, Michael and Boerwinkle, Eric and Bork-Jensen, Jette and Bottinger, Erwin P and Brandslund, Ivan and Brown, Morris and Busonero, Fabio and Caulfield, Mark J and Chambers, John C and Chasman, Daniel I and Chen, Y Eugene and Chen, Yii-Der Ida and Chowdhury, Rajiv and Christensen, Cramer and Chu, Audrey Y and Connell, John M and Cucca, Francesco and Cupples, L Adrienne and Damrauer, Scott M and Davies, Gail and Deary, Ian J and Dedoussis, George and Denny, Joshua C and Dominiczak, Anna and Dub{\'e}, Marie-Pierre and Ebeling, Tapani and Eiriksdottir, Gudny and Esko, T{\~o}nu and Farmaki, Aliki-Eleni and Feitosa, Mary F and Ferrario, Marco and Ferrieres, Jean and Ford, Ian and Fornage, Myriam and Franks, Paul W and Frayling, Timothy M and Frikke-Schmidt, Ruth and Fritsche, Lars G and Frossard, Philippe and Fuster, Valentin and Ganesh, Santhi K and Gao, Wei and Garcia, Melissa E and Gieger, Christian and Giulianini, Franco and Goodarzi, Mark O and Grallert, Harald and Grarup, Niels and Groop, Leif and Grove, Megan L and Gudnason, Vilmundur and Hansen, Torben and Harris, Tamara B and Hayward, Caroline and Hirschhorn, Joel N and Holmen, Oddgeir L and Huffman, Jennifer and Huo, Yong and Hveem, Kristian and Jabeen, Sehrish and Jackson, Anne U and Jakobsdottir, Johanna and Jarvelin, Marjo-Riitta and Jensen, Gorm B and J{\o}rgensen, Marit E and Jukema, J Wouter and Justesen, Johanne M and Kamstrup, Pia R and Kanoni, Stavroula and Karpe, Fredrik and Kee, Frank and Khera, Amit V and Klarin, Derek and Koistinen, Heikki A and Kooner, Jaspal S and Kooperberg, Charles and Kuulasmaa, Kari and Kuusisto, Johanna and Laakso, Markku and Lakka, Timo and Langenberg, Claudia and Langsted, Anne and Launer, Lenore J and Lauritzen, Torsten and Liewald, David C M and Lin, Li An and Linneberg, Allan and Loos, Ruth J F and Lu, Yingchang and Lu, Xiangfeng and M{\"a}gi, Reedik and M{\"a}larstig, Anders and Manichaikul, Ani and Manning, Alisa K and M{\"a}ntyselk{\"a}, Pekka and Marouli, Eirini and Masca, Nicholas G D and Maschio, Andrea and Meigs, James B and Melander, Olle and Metspalu, Andres and Morris, Andrew P and Morrison, Alanna C and Mulas, Antonella and M{\"u}ller-Nurasyid, Martina and Munroe, Patricia B and Neville, Matt J and Nielsen, Jonas B and Nielsen, Sune F and Nordestgaard, B{\o}rge G and Ordovas, Jose M and Mehran, Roxana and O{\textquoteright}Donnell, Christoper J and Orho-Melander, Marju and Molony, Cliona M and Muntendam, Pieter and Padmanabhan, Sandosh and Palmer, Colin N A and Pasko, Dorota and Patel, Aniruddh P and Pedersen, Oluf and Perola, Markus and Peters, Annette and Pisinger, Charlotta and Pistis, Giorgio and Polasek, Ozren and Poulter, Neil and Psaty, Bruce M and Rader, Daniel J and Rasheed, Asif and Rauramaa, Rainer and Reilly, Dermot F and Reiner, Alex P and Renstrom, Frida and Rich, Stephen S and Ridker, Paul M and Rioux, John D and Robertson, Neil R and Roden, Dan M and Rotter, Jerome I and Rudan, Igor and Salomaa, Veikko and Samani, Nilesh J and Sanna, Serena and Sattar, Naveed and Schmidt, Ellen M and Scott, Robert A and Sever, Peter and Sevilla, Raquel S and Shaffer, Christian M and Sim, Xueling and Sivapalaratnam, Suthesh and Small, Kerrin S and Smith, Albert V and Smith, Blair H and Somayajula, Sangeetha and Southam, Lorraine and Spector, Timothy D and Speliotes, Elizabeth K and Starr, John M and Stirrups, Kathleen E and Stitziel, Nathan and Strauch, Konstantin and Stringham, Heather M and Surendran, Praveen and Tada, Hayato and Tall, Alan R and Tang, Hua and Tardif, Jean-Claude and Taylor, Kent D and Trompet, Stella and Tsao, Philip S and Tuomilehto, Jaakko and Tybjaerg-Hansen, Anne and van Zuydam, Natalie R and Varbo, Anette and Varga, Tibor V and Virtamo, Jarmo and Waldenberger, Melanie and Wang, Nan and Wareham, Nick J and Warren, Helen R and Weeke, Peter E and Weinstock, Joshua and Wessel, Jennifer and Wilson, James G and Wilson, Peter W F and Xu, Ming and Yaghootkar, Hanieh and Young, Robin and Zeggini, Eleftheria and Zhang, He and Zheng, Neil S and Zhang, Weihua and Zhang, Yan and Zhou, Wei and Zhou, Yanhua and Zoledziewska, Magdalena and Howson, Joanna M M and Danesh, John and McCarthy, Mark I and Cowan, Chad A and Abecasis, Goncalo and Deloukas, Panos and Musunuru, Kiran and Willer, Cristen J and Kathiresan, Sekar} } @article {7493, title = {Factors Associated With Ischemic Stroke Survival and Recovery in Older Adults.}, journal = {Stroke}, volume = {48}, year = {2017}, month = {2017 Jul}, pages = {1818-1826}, abstract = {

BACKGROUND AND PURPOSE: Little is known about factors that predispose older adults to poor recovery after a stroke. In this study, we sought to evaluate prestroke measures of frailty and related factors as markers of vulnerability to poor outcomes after ischemic stroke.

METHODS: In participants aged 65 to 99 years with incident ischemic strokes from the Cardiovascular Health Study, we evaluated the association of several risk factors (frailty, frailty components, C-reactive protein, interleukin-6, and cystatin C) assessed before stroke with stroke outcomes of survival, cognitive decline (>=5 points on Modified Mini-Mental State Examination), and activities of daily living decline (increase in limitations).

RESULTS: Among 717 participants with incident ischemic stroke with survival data, slow walking speed, low grip strength, and cystatin C were independently associated with shorter survival. Among participants <80 years of age, frailty and interleukin-6 were also associated with shorter survival. Among 509 participants with recovery data, slow walking speed, and low grip strength were associated with both cognitive and activities of daily living decline poststroke. C-reactive protein and interleukin-6 were associated with poststroke cognitive decline among men only. Frailty status was associated with activities of daily living decline among women only.

CONCLUSIONS: Markers of physical function-walking speed and grip strength-were consistently associated with survival and recovery after ischemic stroke. Inflammation, kidney function, and frailty also seemed to be determinants of survival and recovery after an ischemic stroke. These markers of vulnerability may identify targets for differing pre and poststroke medical management and rehabilitation among older adults at risk of poor stroke outcomes.

}, keywords = {Activities of Daily Living, Aged, Aged, 80 and over, Brain Ischemia, Cohort Studies, Female, Follow-Up Studies, Frail Elderly, Humans, Male, Recovery of Function, Risk Factors, Stroke, Survival Rate}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.117.016726}, author = {Winovich, Divya Thekkethala and Longstreth, William T and Arnold, Alice M and Varadhan, Ravi and Zeki Al Hazzouri, Adina and Cushman, Mary and Newman, Anne B and Odden, Michelle C} } @article {7345, title = {Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Mar}, pages = {426-432}, abstract = {

Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide. We performed a genetic association study in 15,256 cases and 47,936 controls, with replication of select top results (P < 5 {\texttimes} 10(-6)) in 9,498 cases and 9,748 controls. In the combined meta-analysis, we identified 22 loci associated at genome-wide significance, including 13 new associations with COPD. Nine of these 13 loci have been associated with lung function in general population samples, while 4 (EEFSEC, DSP, MTCL1, and SFTPD) are new. We noted two loci shared with pulmonary fibrosis (FAM13A and DSP) but that had opposite risk alleles for COPD. None of our loci overlapped with genome-wide associations for asthma, although one locus has been implicated in joint susceptibility to asthma and obesity. We also identified genetic correlation between COPD and asthma. Our findings highlight new loci associated with COPD, demonstrate the importance of specific loci associated with lung function to COPD, and identify potential regions of genetic overlap between COPD and other respiratory diseases.

}, issn = {1546-1718}, doi = {10.1038/ng.3752}, author = {Hobbs, Brian D and de Jong, Kim and Lamontagne, Maxime and Boss{\'e}, Yohan and Shrine, Nick and Artigas, Maria Soler and Wain, Louise V and Hall, Ian P and Jackson, Victoria E and Wyss, Annah B and London, Stephanie J and North, Kari E and Franceschini, Nora and Strachan, David P and Beaty, Terri H and Hokanson, John E and Crapo, James D and Castaldi, Peter J and Chase, Robert P and Bartz, Traci M and Heckbert, Susan R and Psaty, Bruce M and Gharib, Sina A and Zanen, Pieter and Lammers, Jan W and Oudkerk, Matthijs and Groen, H J and Locantore, Nicholas and Tal-Singer, Ruth and Rennard, Stephen I and Vestbo, J{\o}rgen and Timens, Wim and Par{\'e}, Peter D and Latourelle, Jeanne C and Dupuis, Jos{\'e}e and O{\textquoteright}Connor, George T and Wilk, Jemma B and Kim, Woo Jin and Lee, Mi Kyeong and Oh, Yeon-Mok and Vonk, Judith M and de Koning, Harry J and Leng, Shuguang and Belinsky, Steven A and Tesfaigzi, Yohannes and Manichaikul, Ani and Wang, Xin-Qun and Rich, Stephen S and Barr, R Graham and Sparrow, David and Litonjua, Augusto A and Bakke, Per and Gulsvik, Amund and Lahousse, Lies and Brusselle, Guy G and Stricker, Bruno H and Uitterlinden, Andr{\'e} G and Ampleford, Elizabeth J and Bleecker, Eugene R and Woodruff, Prescott G and Meyers, Deborah A and Qiao, Dandi and Lomas, David A and Yim, Jae-Joon and Kim, Deog Kyeom and Hawrylkiewicz, Iwona and Sliwinski, Pawel and Hardin, Megan and Fingerlin, Tasha E and Schwartz, David A and Postma, Dirkje S and MacNee, William and Tobin, Martin D and Silverman, Edwin K and Boezen, H Marike and Cho, Michael H} } @article {7579, title = {Genetic loci associated with heart rate variability and their effects on cardiac disease risk.}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {2017 Jun 14}, pages = {15805}, abstract = {

Reduced cardiac vagal control reflected in low heart rate variability (HRV) is associated with greater risks for cardiac morbidity and mortality. In two-stage meta-analyses of genome-wide association studies for three HRV traits in up to 53,174 individuals of European ancestry, we detect 17 genome-wide significant SNPs in eight loci. HRV SNPs tag non-synonymous SNPs (in NDUFA11 and KIAA1755), expression quantitative trait loci (eQTLs) (influencing GNG11, RGS6 and NEO1), or are located in genes preferentially expressed in the sinoatrial node (GNG11, RGS6 and HCN4). Genetic risk scores account for 0.9 to 2.6\% of the HRV variance. Significant genetic correlation is found for HRV with heart rate (-0.74}, issn = {2041-1723}, doi = {10.1038/ncomms15805}, author = {Nolte, Ilja M and Munoz, M Loretto and Tragante, Vinicius and Amare, Azmeraw T and Jansen, Rick and Vaez, Ahmad and von der Heyde, Benedikt and Avery, Christy L and Bis, Joshua C and Dierckx, Bram and van Dongen, Jenny and Gogarten, Stephanie M and Goyette, Philippe and Hernesniemi, Jussi and Huikari, Ville and Hwang, Shih-Jen and Jaju, Deepali and Kerr, Kathleen F and Kluttig, Alexander and Krijthe, Bouwe P and Kumar, Jitender and van der Laan, Sander W and Lyytik{\"a}inen, Leo-Pekka and Maihofer, Adam X and Minassian, Arpi and van der Most, Peter J and M{\"u}ller-Nurasyid, Martina and Nivard, Michel and Salvi, Erika and Stewart, James D and Thayer, Julian F and Verweij, Niek and Wong, Andrew and Zabaneh, Delilah and Zafarmand, Mohammad H and Abdellaoui, Abdel and Albarwani, Sulayma and Albert, Christine and Alonso, Alvaro and Ashar, Foram and Auvinen, Juha and Axelsson, Tomas and Baker, Dewleen G and de Bakker, Paul I W and Barcella, Matteo and Bayoumi, Riad and Bieringa, Rob J and Boomsma, Dorret and Boucher, Gabrielle and Britton, Annie R and Christophersen, Ingrid and Dietrich, Andrea and Ehret, George B and Ellinor, Patrick T and Eskola, Markku and Felix, Janine F and Floras, John S and Franco, Oscar H and Friberg, Peter and Gademan, Maaike G J and Geyer, Mark A and Giedraitis, Vilmantas and Hartman, Catharina A and Hemerich, Daiane and Hofman, Albert and Hottenga, Jouke-Jan and Huikuri, Heikki and Hutri-K{\"a}h{\"o}nen, Nina and Jouven, Xavier and Junttila, Juhani and Juonala, Markus and Kiviniemi, Antti M and Kors, Jan A and Kumari, Meena and Kuznetsova, Tatiana and Laurie, Cathy C and Lefrandt, Joop D and Li, Yong and Li, Yun and Liao, Duanping and Limacher, Marian C and Lin, Henry J and Lindgren, Cecilia M and Lubitz, Steven A and Mahajan, Anubha and McKnight, Barbara and Zu Schwabedissen, Henriette Meyer and Milaneschi, Yuri and Mononen, Nina and Morris, Andrew P and Nalls, Mike A and Navis, Gerjan and Neijts, Melanie and Nikus, Kjell and North, Kari E and O{\textquoteright}Connor, Daniel T and Ormel, Johan and Perz, Siegfried and Peters, Annette and Psaty, Bruce M and Raitakari, Olli T and Risbrough, Victoria B and Sinner, Moritz F and Siscovick, David and Smit, Johannes H and Smith, Nicholas L and Soliman, Elsayed Z and Sotoodehnia, Nona and Staessen, Jan A and Stein, Phyllis K and Stilp, Adrienne M and Stolarz-Skrzypek, Katarzyna and Strauch, Konstantin and Sundstr{\"o}m, Johan and Swenne, Cees A and Syv{\"a}nen, Ann-Christine and Tardif, Jean-Claude and Taylor, Kent D and Teumer, Alexander and Thornton, Timothy A and Tinker, Lesley E and Uitterlinden, Andr{\'e} G and van Setten, Jessica and Voss, Andreas and Waldenberger, Melanie and Wilhelmsen, Kirk C and Willemsen, Gonneke and Wong, Quenna and Zhang, Zhu-Ming and Zonderman, Alan B and Cusi, Daniele and Evans, Michele K and Greiser, Halina K and van der Harst, Pim and Hassan, Mohammad and Ingelsson, Erik and Jarvelin, Marjo-Riitta and K{\"a}{\"a}b, Stefan and K{\"a}h{\"o}nen, Mika and Kivimaki, Mika and Kooperberg, Charles and Kuh, Diana and Lehtim{\"a}ki, Terho and Lind, Lars and Nievergelt, Caroline M and O{\textquoteright}Donnell, Chris J and Oldehinkel, Albertine J and Penninx, Brenda and Reiner, Alexander P and Riese, Harri{\"e}tte and van Roon, Arie M and Rioux, John D and Rotter, Jerome I and Sofer, Tamar and Stricker, Bruno H and Tiemeier, Henning and Vrijkotte, Tanja G M and Asselbergs, Folkert W and Brundel, Bianca J J M and Heckbert, Susan R and Whitsel, Eric A and den Hoed, Marcel and Snieder, Harold and de Geus, Eco J C} } @article {8560, title = {{Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {Mar}, pages = {403{\textendash}415}, abstract = {Elevated blood pressure is the leading heritable risk factor for cardiovascular disease worldwide. We report genetic association of blood pressure (systolic, diastolic, pulse pressure) among UK Biobank participants of European ancestry with independent replication in other cohorts, and robust validation of 107 independent loci. We also identify new independent variants at 11 previously reported blood pressure loci. In combination with results from a range of in silico functional analyses and wet bench experiments, our findings highlight new biological pathways for blood pressure regulation enriched for genes expressed in vascular tissues and identify potential therapeutic targets for hypertension. Results from genetic risk score models raise the possibility of a precision medicine approach through early lifestyle intervention to offset the impact of blood pressure-raising genetic variants on future cardiovascular disease risk.}, author = {Warren, H. R. and Evangelou, E. and Cabrera, C. P. and Gao, H. and Ren, M. and Mifsud, B. and Ntalla, I. and Surendran, P. and Liu, C. and Cook, J. P. and Kraja, A. T. and Drenos, F. and Loh, M. and Verweij, N. and Marten, J. and Karaman, I. and Lepe, M. P. and O{\textquoteright}Reilly, P. F. and Knight, J. and Snieder, H. and Kato, N. and He, J. and Tai, E. S. and Said, M. A. and Porteous, D. and Alver, M. and Poulter, N. and Farrall, M. and Gansevoort, R. T. and Padmanabhan, S. and M?gi, R. and Stanton, A. and Connell, J. and Bakker, S. J. and Metspalu, A. and Shields, D. C. and Thom, S. and Brown, M. and Sever, P. and Esko, T. and Hayward, C. and van der Harst, P. and Saleheen, D. and Chowdhury, R. and Chambers, J. C. and Chasman, D. I. and Chakravarti, A. and Newton-Cheh, C. and Lindgren, C. M. and Levy, D. and Kooner, J. S. and Keavney, B. and Tomaszewski, M. and Samani, N. J. and Howson, J. M. and Tobin, M. D. and Munroe, P. B. and Ehret, G. B. and Wain, L. V. and V?lker, U. and Vollenweider, P. and Wild, S. and Willemsen, G. and Wright, A. F. and Yao, J. and Th?riault, S. and Conen, D. and John, A. and Sever, P. and Debette, S. and Mook-Kanamori, D. O. and Zeggini, E. and Spector, T. D. and van der Harst, P. and Palmer, C. N. and Vergnaud, A. C. and Loos, R. J. and Polasek, O. and Starr, J. M. and Girotto, G. and Hayward, C. and Kooner, J. S. and Lindgren, C. M. and Vitart, V. and Samani, N. J. and Tuomilehto, J. and Gyllensten, U. and Knekt, P. and Deary, I. J. and Ciullo, M. and Elosua, R. and Keavney, B. D. and Hicks, A. A. and Scott, R. A. and Gasparini, P. and Laan, M. and Liu, Y. and Watkins, H. and Hartman, C. A. and Salomaa, V. and Toniolo, D. and Perola, M. and Wilson, J. F. and Schmidt, H. and Zhao, J. H. and Lehtim?ki, T. and van Duijn, C. M. and Gudnason, V. and Psaty, B. M. and Peters, A. and Rettig, R. and James, A. and Jukema, J. W. and Strachan, D. P. and Palmas, W. and Metspalu, A. and Ingelsson, E. and Boomsma, D. I. and Franco, O. H. and Bochud, M. and Newton-Cheh, C. and Munroe, P. B. and Elliott, P. and Chasman, D. I. and Chakravarti, A. and Knight, J. and Morris, A. P. and Levy, D. and Tobin, M. D. and Snieder, H. and Caulfield, M. J. and Ehret, G. B. and Barnes, M. R. and Tzoulaki, I. and Caulfield, M. J. and Elliott, P.} } @article {7578, title = {Genome-wide association meta-analysis of fish and EPA+DHA consumption in 17 US and European cohorts.}, journal = {PLoS One}, volume = {12}, year = {2017}, month = {2017}, pages = {e0186456}, abstract = {

BACKGROUND: Regular fish and omega-3 consumption may have several health benefits and are recommended by major dietary guidelines. Yet, their intakes remain remarkably variable both within and across populations, which could partly owe to genetic influences.

OBJECTIVE: To identify common genetic variants that influence fish and dietary eicosapentaenoic acid plus docosahexaenoic acid (EPA+DHA) consumption.

DESIGN: We conducted genome-wide association (GWA) meta-analysis of fish (n = 86,467) and EPA+DHA (n = 62,265) consumption in 17 cohorts of European descent from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium Nutrition Working Group. Results from cohort-specific GWA analyses (additive model) for fish and EPA+DHA consumption were adjusted for age, sex, energy intake, and population stratification, and meta-analyzed separately using fixed-effect meta-analysis with inverse variance weights (METAL software). Additionally, heritability was estimated in 2 cohorts.

RESULTS: Heritability estimates for fish and EPA+DHA consumption ranged from 0.13-0.24 and 0.12-0.22, respectively. A significant GWA for fish intake was observed for rs9502823 on chromosome 6: each copy of the minor allele (FreqA = 0.015) was associated with 0.029 servings/day (~1 serving/month) lower fish consumption (P = 1.96x10-8). No significant association was observed for EPA+DHA, although rs7206790 in the obesity-associated FTO gene was among top hits (P = 8.18x10-7). Post-hoc calculations demonstrated 95\% statistical power to detect a genetic variant associated with effect size of 0.05\% for fish and 0.08\% for EPA+DHA.

CONCLUSIONS: These novel findings suggest that non-genetic personal and environmental factors are principal determinants of the remarkable variation in fish consumption, representing modifiable targets for increasing intakes among all individuals. Genes underlying the signal at rs72838923 and mechanisms for the association warrant further investigation.

}, keywords = {Adult, Aged, Cohort Studies, Docosahexaenoic Acids, Eicosapentaenoic Acid, Europe, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Seafood, United States}, issn = {1932-6203}, doi = {10.1371/journal.pone.0186456}, author = {Mozaffarian, Dariush and Dashti, Hassan S and Wojczynski, Mary K and Chu, Audrey Y and Nettleton, Jennifer A and M{\"a}nnist{\"o}, Satu and Kristiansson, Kati and Reedik, M{\"a}gi and Lahti, Jari and Houston, Denise K and Cornelis, Marilyn C and van Rooij, Frank J A and Dimitriou, Maria and Kanoni, Stavroula and Mikkil{\"a}, Vera and Steffen, Lyn M and de Oliveira Otto, Marcia C and Qi, Lu and Psaty, Bruce and Djouss{\'e}, Luc and Rotter, Jerome I and Harald, Kennet and Perola, Markus and Rissanen, Harri and Jula, Antti and Krista, Fischer and Mihailov, Evelin and Feitosa, Mary F and Ngwa, Julius S and Xue, Luting and Jacques, Paul F and Per{\"a}l{\"a}, Mia-Maria and Palotie, Aarno and Liu, Yongmei and Nalls, Nike A and Ferrucci, Luigi and Hernandez, Dena and Manichaikul, Ani and Tsai, Michael Y and Kiefte-de Jong, Jessica C and Hofman, Albert and Uitterlinden, Andr{\'e} G and Rallidis, Loukianos and Ridker, Paul M and Rose, Lynda M and Buring, Julie E and Lehtim{\"a}ki, Terho and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Lemaitre, Rozenn and Salomaa, Veikko and Knekt, Paul and Metspalu, Andres and Borecki, Ingrid B and Cupples, L Adrienne and Eriksson, Johan G and Kritchevsky, Stephen B and Bandinelli, Stefania and Siscovick, David and Franco, Oscar H and Deloukas, Panos and Dedoussis, George and Chasman, Daniel I and Raitakari, Olli and Tanaka, Toshiko} } @article {7588, title = {Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent.}, journal = {Mol Nutr Food Res}, year = {2017}, month = {2017 Sep 21}, abstract = {

SCOPE: Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter-individual variability in associations between body weight and dairy consumption.

METHODS AND RESULTS: A genome-wide interaction study to discover genetic variants that account for variation in BMI in the context of low-fat, high-fat and total dairy intake in cross-sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta-analyzed. Twenty-six genetic variants reached the selected significance threshold (p-interaction <10-7) , and six independent variants (LINC01512-rs7751666, PALM2/AKAP2-rs914359, ACTA2-rs1388, PPP1R12A-rs7961195, LINC00333-rs9635058, AC098847.1-rs1791355) were evaluated meta-analytically for replication of interaction in up to 17 675 individuals. Variant rs9635058 (128 kb 3{\textquoteright} of LINC00333) was replicated (p-interaction = 0.004). In the discovery cohorts, rs9635058 interacted with dairy (p-interaction = 7.36 {\texttimes} 10-8) such that each serving of low-fat dairy was associated with 0.225 kg m-2 lower BMI per each additional copy of the effect allele (A). A second genetic variant (ACTA2-rs1388) approached interaction replication significance for low-fat dairy exposure.

CONCLUSION: Body weight responses to dairy intake may be modified by genotype, in that greater dairy intake may protect a genetic subgroup from higher body weight.

}, issn = {1613-4133}, doi = {10.1002/mnfr.201700347}, author = {Smith, Caren E and Follis, Jack L and Dashti, Hassan S and Tanaka, Toshiko and Graff, Mariaelisa and Fretts, Amanda M and Kilpel{\"a}inen, Tuomas O and Wojczynski, Mary K and Richardson, Kris and Nalls, Mike A and Schulz, Christina-Alexandra and Liu, Yongmei and Frazier-Wood, Alexis C and van Eekelen, Esther and Wang, Carol and de Vries, Paul S and Mikkil{\"a}, Vera and Rohde, Rebecca and Psaty, Bruce M and Hansen, Torben and Feitosa, Mary F and Lai, Chao-Qiang and Houston, Denise K and Ferruci, Luigi and Ericson, Ulrika and Wang, Zhe and de Mutsert, Ren{\'e}e and Oddy, Wendy H and de Jonge, Ester A L and Sepp{\"a}l{\"a}, Ilkka and Justice, Anne E and Lemaitre, Rozenn N and S{\o}rensen, Thorkild I A and Province, Michael A and Parnell, Laurence D and Garcia, Melissa E and Bandinelli, Stefania and Orho-Melander, Marju and Rich, Stephen S and Rosendaal, Frits R and Pennell, Craig E and Kiefte-de Jong, Jessica C and K{\"a}h{\"o}nen, Mika and Young, Kristin L and Pedersen, Oluf and Aslibekyan, Stella and Rotter, Jerome I and Mook-Kanamori, Dennis O and Zillikens, M Carola and Raitakari, Olli T and North, Kari E and Overvad, Kim and Arnett, Donna K and Hofman, Albert and Lehtim{\"a}ki, Terho and Tj{\o}nneland, Anne and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Franco, Oscar H and German, J Bruce and Siscovick, David S and Cupples, L Adrienne and Ordovas, Jose M} } @article {7568, title = {Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity.}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {2017 Oct 13}, pages = {910}, abstract = {

Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents{\textquoteright} survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.Variability in human longevity is genetically influenced. Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.

}, issn = {2041-1723}, doi = {10.1038/s41467-017-00934-5}, author = {Joshi, Peter K and Pirastu, Nicola and Kentistou, Katherine A and Fischer, Krista and Hofer, Edith and Schraut, Katharina E and Clark, David W and Nutile, Teresa and Barnes, Catriona L K and Timmers, Paul R H J and Shen, Xia and Gandin, Ilaria and McDaid, Aaron F and Hansen, Thomas Folkmann and Gordon, Scott D and Giulianini, Franco and Boutin, Thibaud S and Abdellaoui, Abdel and Zhao, Wei and Medina-G{\'o}mez, Carolina and Bartz, Traci M and Trompet, Stella and Lange, Leslie A and Raffield, Laura and van der Spek, Ashley and Galesloot, Tessel E and Proitsi, Petroula and Yanek, Lisa R and Bielak, Lawrence F and Payton, Antony and Murgia, Federico and Concas, Maria Pina and Biino, Ginevra and Tajuddin, Salman M and Sepp{\"a}l{\"a}, Ilkka and Amin, Najaf and Boerwinkle, Eric and B{\o}rglum, Anders D and Campbell, Archie and Demerath, Ellen W and Demuth, Ilja and Faul, Jessica D and Ford, Ian and Gialluisi, Alessandro and G{\"o}gele, Martin and Graff, Mariaelisa and Hingorani, Aroon and Hottenga, Jouke-Jan and Hougaard, David M and Hurme, Mikko A and Ikram, M Arfan and Jylh{\"a}, Marja and Kuh, Diana and Ligthart, Lannie and Lill, Christina M and Lindenberger, Ulman and Lumley, Thomas and M{\"a}gi, Reedik and Marques-Vidal, Pedro and Medland, Sarah E and Milani, Lili and Nagy, Reka and Ollier, William E R and Peyser, Patricia A and Pramstaller, Peter P and Ridker, Paul M and Rivadeneira, Fernando and Ruggiero, Daniela and Saba, Yasaman and Schmidt, Reinhold and Schmidt, Helena and Slagboom, P Eline and Smith, Blair H and Smith, Jennifer A and Sotoodehnia, Nona and Steinhagen-Thiessen, Elisabeth and van Rooij, Frank J A and Verbeek, Andr{\'e} L and Vermeulen, Sita H and Vollenweider, Peter and Wang, Yunpeng and Werge, Thomas and Whitfield, John B and Zonderman, Alan B and Lehtim{\"a}ki, Terho and Evans, Michele K and Pirastu, Mario and Fuchsberger, Christian and Bertram, Lars and Pendleton, Neil and Kardia, Sharon L R and Ciullo, Marina and Becker, Diane M and Wong, Andrew and Psaty, Bruce M and van Duijn, Cornelia M and Wilson, James G and Jukema, J Wouter and Kiemeney, Lambertus and Uitterlinden, Andr{\'e} G and Franceschini, Nora and North, Kari E and Weir, David R and Metspalu, Andres and Boomsma, Dorret I and Hayward, Caroline and Chasman, Daniel and Martin, Nicholas G and Sattar, Naveed and Campbell, Harry and Esko, T{\~o}nu and Kutalik, Zolt{\'a}n and Wilson, James F} } @article {8554, title = {{Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {04}, pages = {14977}, abstract = {Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87\% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.}, author = {Justice, A. E. and Winkler, T. W. and Feitosa, M. F. and Graff, M. and Fisher, V. A. and Young, K. and Barata, L. and Deng, X. and Czajkowski, J. and Hadley, D. and Ngwa, J. S. and Ahluwalia, T. S. and Chu, A. Y. and Heard-Costa, N. L. and Lim, E. and Perez, J. and Eicher, J. D. and Kutalik, Z. and Xue, L. and Mahajan, A. and Renstr?m, F. and Wu, J. and Qi, Q. and Ahmad, S. and Alfred, T. and Amin, N. and Bielak, L. F. and Bonnefond, A. and Bragg, J. and Cadby, G. and Chittani, M. and Coggeshall, S. and Corre, T. and Direk, N. and Eriksson, J. and Fischer, K. and Gorski, M. and Neergaard Harder, M. and Horikoshi, M. and Huang, T. and Huffman, J. E. and Jackson, A. U. and Justesen, J. M. and Kanoni, S. and Kinnunen, L. and Kleber, M. E. and Komulainen, P. and Kumari, M. and Lim, U. and Luan, J. and Lyytik?inen, L. P. and Mangino, M. and Manichaikul, A. and Marten, J. and Middelberg, R. P. S. and M?ller-Nurasyid, M. and Navarro, P. and P?russe, L. and Pervjakova, N. and Sarti, C. and Smith, A. V. and Smith, J. A. and Stan??kov?, A. and Strawbridge, R. J. and Stringham, H. M. and Sung, Y. J. and Tanaka, T. and Teumer, A. and Trompet, S. and van der Laan, S. W. and van der Most, P. J. and Van Vliet-Ostaptchouk, J. V. and Vedantam, S. L. and Verweij, N. and Vink, J. M. and Vitart, V. and Wu, Y. and Yengo, L. and Zhang, W. and Hua Zhao, J. and Zimmermann, M. E. and Zubair, N. and Abecasis, G. R. and Adair, L. S. and Afaq, S. and Afzal, U. and Bakker, S. J. L. and Bartz, T. M. and Beilby, J. and Bergman, R. N. and Bergmann, S. and Biffar, R. and Blangero, J. and Boerwinkle, E. and Bonnycastle, L. L. and Bottinger, E. and Braga, D. and Buckley, B. M. and Buyske, S. and Campbell, H. and Chambers, J. C. and Collins, F. S. and Curran, J. E. and de Borst, G. J. and de Craen, A. J. M. and de Geus, E. J. C. and Dedoussis, G. and Delgado, G. E. and den Ruijter, H. M. and Eiriksdottir, G. and Eriksson, A. L. and Esko, T. and Faul, J. D. and Ford, I. and Forrester, T. and Gertow, K. and Gigante, B. and Glorioso, N. and Gong, J. and Grallert, H. and Grammer, T. B. and Grarup, N. and Haitjema, S. and Hallmans, G. and Hamsten, A. and Hansen, T. and Harris, T. B. and Hartman, C. A. and Hassinen, M. and Hastie, N. D. and Heath, A. C. and Hernandez, D. and Hindorff, L. and Hocking, L. J. and Hollensted, M. and Holmen, O. L. and Homuth, G. and Jan Hottenga, J. and Huang, J. and Hung, J. and Hutri-K?h?nen, N. and Ingelsson, E. and James, A. L. and Jansson, J. O. and Jarvelin, M. R. and Jhun, M. A. and J?rgensen, M. E. and Juonala, M. and K?h?nen, M. and Karlsson, M. and Koistinen, H. A. and Kolcic, I. and Kolovou, G. and Kooperberg, C. and Kr?mer, B. K. and Kuusisto, J. and Kval?y, K. and Lakka, T. A. and Langenberg, C. and Launer, L. J. and Leander, K. and Lee, N. R. and Lind, L. and Lindgren, C. M. and Linneberg, A. and Lobbens, S. and Loh, M. and Lorentzon, M. and Luben, R. and Lubke, G. and Ludolph-Donislawski, A. and Lupoli, S. and Madden, P. A. F. and M?nnikk?, R. and Marques-Vidal, P. and Martin, N. G. and McKenzie, C. A. and McKnight, B. and Mellstr?m, D. and Menni, C. and Montgomery, G. W. and Musk, A. B. and Narisu, N. and Nauck, M. and Nolte, I. M. and Oldehinkel, A. J. and Olden, M. and Ong, K. K. and Padmanabhan, S. and Peyser, P. A. and Pisinger, C. and Porteous, D. J. and Raitakari, O. T. and Rankinen, T. and Rao, D. C. and Rasmussen-Torvik, L. J. and Rawal, R. and Rice, T. and Ridker, P. M. and Rose, L. M. and Bien, S. A. and Rudan, I. and Sanna, S. and Sarzynski, M. A. and Sattar, N. and Savonen, K. and Schlessinger, D. and Scholtens, S. and Schurmann, C. and Scott, R. A. and Sennblad, B. and Siemelink, M. A. and Silbernagel, G. and Slagboom, P. E. and Snieder, H. and Staessen, J. A. and Stott, D. J. and Swertz, M. A. and Swift, A. J. and Taylor, K. D. and Tayo, B. O. and Thorand, B. and Thuillier, D. and Tuomilehto, J. and Uitterlinden, A. G. and Vandenput, L. and Vohl, M. C. and V?lzke, H. and Vonk, J. M. and Waeber, G. and Waldenberger, M. and Westendorp, R. G. J. and Wild, S. and Willemsen, G. and Wolffenbuttel, B. H. R. and Wong, A. and Wright, A. F. and Zhao, W. and Zillikens, M. C. and Baldassarre, D. and Balkau, B. and Bandinelli, S. and B?ger, C. A. and Boomsma, D. I. and Bouchard, C. and Bruinenberg, M. and Chasman, D. I. and Chen, Y. D. and Chines, P. S. and Cooper, R. S. and Cucca, F. and Cusi, D. and Faire, U. and Ferrucci, L. and Franks, P. W. and Froguel, P. and Gordon-Larsen, P. and Grabe, H. J. and Gudnason, V. and Haiman, C. A. and Hayward, C. and Hveem, K. and Johnson, A. D. and Wouter Jukema, J. and Kardia, S. L. R. and Kivimaki, M. and Kooner, J. S. and Kuh, D. and Laakso, M. and Lehtim?ki, T. and Marchand, L. L. and M?rz, W. and McCarthy, M. I. and Metspalu, A. and Morris, A. P. and Ohlsson, C. and Palmer, L. J. and Pasterkamp, G. and Pedersen, O. and Peters, A. and Peters, U. and Polasek, O. and Psaty, B. M. and Qi, L. and Rauramaa, R. and Smith, B. H. and S?rensen, T. I. A. and Strauch, K. and Tiemeier, H. and Tremoli, E. and van der Harst, P. and Vestergaard, H. and Vollenweider, P. and Wareham, N. J. and Weir, D. R. and Whitfield, J. B. and Wilson, J. F. and Tyrrell, J. and Frayling, T. M. and Barroso, I. and Boehnke, M. and Deloukas, P. and Fox, C. S. and Hirschhorn, J. N. and Hunter, D. J. and Spector, T. D. and Strachan, D. P. and van Duijn, C. M. and Heid, I. M. and Mohlke, K. L. and Marchini, J. and Loos, R. J. F. and Kilpel?inen, T. O. and Liu, C. T. and Borecki, I. B. and North, K. E. and Cupples, L. A.} } @article {7364, title = {Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis.}, journal = {Am J Hum Genet}, volume = {100}, year = {2017}, month = {2017 Jan 05}, pages = {51-63}, abstract = {

Genome-wide association studies (GWASs) have identified loci for erythrocyte traits in primarily European ancestry populations. We conducted GWAS meta-analyses of six erythrocyte traits in 71,638 individuals from European, East Asian, and African ancestries using a Bayesian approach to account for heterogeneity in allelic effects and variation in the structure of linkage disequilibrium between ethnicities. We identified seven loci for erythrocyte traits including a locus (RBPMS/GTF2E2) associated with mean corpuscular hemoglobin and mean corpuscular volume. Statistical fine-mapping at this locus pointed to RBPMS at this locus and excluded nearby GTF2E2. Using zebrafish morpholino to evaluate loss of function, we observed a strong in~vivo erythropoietic effect for RBPMS but not for GTF2E2, supporting the statistical fine-mapping at this locus and demonstrating that RBPMS is a regulator of erythropoiesis. Our findings show the utility of trans-ethnic GWASs for discovery and characterization of genetic loci influencing hematologic traits.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.11.016}, author = {van Rooij, Frank J A and Qayyum, Rehan and Smith, Albert V and Zhou, Yi and Trompet, Stella and Tanaka, Toshiko and Keller, Margaux F and Chang, Li-Ching and Schmidt, Helena and Yang, Min-Lee and Chen, Ming-Huei and Hayes, James and Johnson, Andrew D and Yanek, Lisa R and Mueller, Christian and Lange, Leslie and Floyd, James S and Ghanbari, Mohsen and Zonderman, Alan B and Jukema, J Wouter and Hofman, Albert and van Duijn, Cornelia M and Desch, Karl C and Saba, Yasaman and Ozel, Ayse B and Snively, Beverly M and Wu, Jer-Yuarn and Schmidt, Reinhold and Fornage, Myriam and Klein, Robert J and Fox, Caroline S and Matsuda, Koichi and Kamatani, Naoyuki and Wild, Philipp S and Stott, David J and Ford, Ian and Slagboom, P Eline and Yang, Jaden and Chu, Audrey Y and Lambert, Amy J and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Hofer, Edith and Ginsburg, David and Hu, Bella and Keating, Brendan and Schick, Ursula M and Brody, Jennifer A and Li, Jun Z and Chen, Zhao and Zeller, Tanja and Guralnik, Jack M and Chasman, Daniel I and Peters, Luanne L and Kubo, Michiaki and Becker, Diane M and Li, Jin and Eiriksdottir, Gudny and Rotter, Jerome I and Levy, Daniel and Grossmann, Vera and Patel, Kushang V and Chen, Chien-Hsiun and Ridker, Paul M and Tang, Hua and Launer, Lenore J and Rice, Kenneth M and Li-Gao, Ruifang and Ferrucci, Luigi and Evans, Michelle K and Choudhuri, Avik and Trompouki, Eirini and Abraham, Brian J and Yang, Song and Takahashi, Atsushi and Kamatani, Yoichiro and Kooperberg, Charles and Harris, Tamara B and Jee, Sun Ha and Coresh, Josef and Tsai, Fuu-Jen and Longo, Dan L and Chen, Yuan-Tsong and Felix, Janine F and Yang, Qiong and Psaty, Bruce M and Boerwinkle, Eric and Becker, Lewis C and Mook-Kanamori, Dennis O and Wilson, James G and Gudnason, Vilmundur and O{\textquoteright}Donnell, Christopher J and Dehghan, Abbas and Cupples, L Adrienne and Nalls, Michael A and Morris, Andrew P and Okada, Yukinori and Reiner, Alexander P and Zon, Leonard I and Ganesh, Santhi K} } @article {7552, title = {The GH receptor exon 3 deletion is a marker of male-specific exceptional longevity associated with increased GH sensitivity and taller stature.}, journal = {Sci Adv}, volume = {3}, year = {2017}, month = {2017 Jun}, pages = {e1602025}, abstract = {

Although both growth hormone (GH) and insulin-like growth factor 1 (IGF-1) signaling were shown to regulate life span in lower organisms, the role of GH signaling in human longevity remains unclear. Because a GH receptor exon 3 deletion (d3-GHR) appears to modulate GH sensitivity in humans, we hypothesized that this polymorphism could play a role in human longevity. We report a linear increased prevalence of d3-GHR homozygosity with age in four independent cohorts of long-lived individuals: 841 participants [567 of the Longevity Genes Project (LGP) (8\% increase; P = 0.01), 152 of the Old Order Amish (16\% increase; P = 0.02), 61 of the Cardiovascular Health Study (14.2\% increase; P = 0.14), and 61 of the French Long-Lived Study (23.5\% increase; P = 0.02)]. In addition, mega analysis of males in all cohorts resulted in a significant positive trend with age (26\% increase; P = 0.007), suggesting sexual dimorphism for GH action in longevity. Further, on average, LGP d3/d3 homozygotes were 1 inch taller than the wild-type (WT) allele carriers (P = 0.05) and also showed lower serum IGF-1 levels (P = 0.003). Multivariate regression analysis indicated that the presence of d3/d3 genotype adds approximately 10 years to life span. The LGP d3/d3-GHR transformed lymphocytes exhibited superior growth and extracellular signal-regulated kinase activation, to GH treatment relative to WT GHR lymphocytes (P < 0.01), indicating a GH dose response. The d3-GHR variant is a common genetic polymorphism that modulates GH responsiveness throughout the life span and positively affects male longevity.

}, issn = {2375-2548}, doi = {10.1126/sciadv.1602025}, author = {Ben-Avraham, Danny and Govindaraju, Diddahally R and Budagov, Temuri and Fradin, Delphine and Durda, Peter and Liu, Bing and Ott, Sandy and Gutman, Danielle and Sharvit, Lital and Kaplan, Robert and Bougn{\`e}res, Pierre and Reiner, Alex and Shuldiner, Alan R and Cohen, Pinchas and Barzilai, Nir and Atzmon, Gil} } @article {7355, title = {Health and Functional Status of Adults Aged 90 Years in the United States.}, journal = {JAMA Intern Med}, volume = {177}, year = {2017}, month = {2017 May 01}, pages = {732-734}, issn = {2168-6114}, doi = {10.1001/jamainternmed.2017.0242}, author = {Odden, Michelle C and Koh, William Jen Hoe and Arnold, Alice M and Psaty, Bruce M and Newman, Anne B} } @article {7596, title = {Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis.}, journal = {PLoS Med}, volume = {14}, year = {2017}, month = {2017 Sep}, pages = {e1002383}, abstract = {

BACKGROUND: Glycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or glycemic (associated with other glucose-related traits). In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes.

METHODS \& FINDINGS: Using genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E) or glycemic variants (GS-G) were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241). Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95\% CI 1.04-1.06, per HbA1c-raising allele, p = 3 {\texttimes} 10-29); whereas GS-E was not (OR = 1.00, 95\% CI 0.99-1.01, p = 0.60). In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in African Americans, the X-linked G6PD G202A variant (T-allele frequency 11\%) was associated with an absolute decrease in HbA1c of 0.81\%-units (95\% CI 0.66-0.96) per allele in hemizygous men, and 0.68\%-units (95\% CI 0.38-0.97) in homozygous women. The G6PD variant may cause approximately 2\% (N = 0.65 million, 95\% CI 0.55-0.74) of African American adults with T2D to remain undiagnosed when screened with HbA1c. Limitations include the smaller sample sizes for non-European ancestries and the inability to classify approximately one-third of the variants. Further studies in large multiethnic cohorts with HbA1c, glycemic, and erythrocytic traits are required to better determine the biological action of the unclassified variants.

CONCLUSIONS: As G6PD deficiency can be clinically silent until illness strikes, we recommend investigation of the possible benefits of screening for the G6PD genotype along with using HbA1c to diagnose T2D in populations of African ancestry or groups where G6PD deficiency is common. Screening with direct glucose measurements, or genetically-informed HbA1c diagnostic thresholds in people with G6PD deficiency, may be required to avoid missed or delayed diagnoses.

}, keywords = {Diabetes Mellitus, Type 2, Genetic Variation, Genome-Wide Association Study, Glycated Hemoglobin A, Humans, Phenotype, Risk}, issn = {1549-1676}, doi = {10.1371/journal.pmed.1002383}, author = {Wheeler, Eleanor and Leong, Aaron and Liu, Ching-Ti and Hivert, Marie-France and Strawbridge, Rona J and Podmore, Clara and Li, Man and Yao, Jie and Sim, Xueling and Hong, Jaeyoung and Chu, Audrey Y and Zhang, Weihua and Wang, Xu and Chen, Peng and Maruthur, Nisa M and Porneala, Bianca C and Sharp, Stephen J and Jia, Yucheng and Kabagambe, Edmond K and Chang, Li-Ching and Chen, Wei-Min and Elks, Cathy E and Evans, Daniel S and Fan, Qiao and Giulianini, Franco and Go, Min Jin and Hottenga, Jouke-Jan and Hu, Yao and Jackson, Anne U and Kanoni, Stavroula and Kim, Young Jin and Kleber, Marcus E and Ladenvall, Claes and Lecoeur, C{\'e}cile and Lim, Sing-Hui and Lu, Yingchang and Mahajan, Anubha and Marzi, Carola and Nalls, Mike A and Navarro, Pau and Nolte, Ilja M and Rose, Lynda M and Rybin, Denis V and Sanna, Serena and Shi, Yuan and Stram, Daniel O and Takeuchi, Fumihiko and Tan, Shu Pei and van der Most, Peter J and van Vliet-Ostaptchouk, Jana V and Wong, Andrew and Yengo, Loic and Zhao, Wanting and Goel, Anuj and Martinez Larrad, Maria Teresa and Radke, D{\"o}rte and Salo, Perttu and Tanaka, Toshiko and van Iperen, Erik P A and Abecasis, Goncalo and Afaq, Saima and Alizadeh, Behrooz Z and Bertoni, Alain G and Bonnefond, Am{\'e}lie and B{\"o}ttcher, Yvonne and Bottinger, Erwin P and Campbell, Harry and Carlson, Olga D and Chen, Chien-Hsiun and Cho, Yoon Shin and Garvey, W Timothy and Gieger, Christian and Goodarzi, Mark O and Grallert, Harald and Hamsten, Anders and Hartman, Catharina A and Herder, Christian and Hsiung, Chao Agnes and Huang, Jie and Igase, Michiya and Isono, Masato and Katsuya, Tomohiro and Khor, Chiea-Chuen and Kiess, Wieland and Kohara, Katsuhiko and Kovacs, Peter and Lee, Juyoung and Lee, Wen-Jane and Lehne, Benjamin and Li, Huaixing and Liu, Jianjun and Lobbens, Stephane and Luan, Jian{\textquoteright}an and Lyssenko, Valeriya and Meitinger, Thomas and Miki, Tetsuro and Miljkovic, Iva and Moon, Sanghoon and Mulas, Antonella and M{\"u}ller, Gabriele and M{\"u}ller-Nurasyid, Martina and Nagaraja, Ramaiah and Nauck, Matthias and Pankow, James S and Polasek, Ozren and Prokopenko, Inga and Ramos, Paula S and Rasmussen-Torvik, Laura and Rathmann, Wolfgang and Rich, Stephen S and Robertson, Neil R and Roden, Michael and Roussel, Ronan and Rudan, Igor and Scott, Robert A and Scott, William R and Sennblad, Bengt and Siscovick, David S and Strauch, Konstantin and Sun, Liang and Swertz, Morris and Tajuddin, Salman M and Taylor, Kent D and Teo, Yik-Ying and Tham, Yih Chung and T{\"o}njes, Anke and Wareham, Nicholas J and Willemsen, Gonneke and Wilsgaard, Tom and Hingorani, Aroon D and Egan, Josephine and Ferrucci, Luigi and Hovingh, G Kees and Jula, Antti and Kivimaki, Mika and Kumari, Meena and Nj{\o}lstad, Inger and Palmer, Colin N A and Serrano R{\'\i}os, Manuel and Stumvoll, Michael and Watkins, Hugh and Aung, Tin and Bl{\"u}her, Matthias and Boehnke, Michael and Boomsma, Dorret I and Bornstein, Stefan R and Chambers, John C and Chasman, Daniel I and Chen, Yii-Der Ida and Chen, Yduan-Tsong and Cheng, Ching-Yu and Cucca, Francesco and de Geus, Eco J C and Deloukas, Panos and Evans, Michele K and Fornage, Myriam and Friedlander, Yechiel and Froguel, Philippe and Groop, Leif and Gross, Myron D and Harris, Tamara B and Hayward, Caroline and Heng, Chew-Kiat and Ingelsson, Erik and Kato, Norihiro and Kim, Bong-Jo and Koh, Woon-Puay and Kooner, Jaspal S and K{\"o}rner, Antje and Kuh, Diana and Kuusisto, Johanna and Laakso, Markku and Lin, Xu and Liu, Yongmei and Loos, Ruth J F and Magnusson, Patrik K E and M{\"a}rz, Winfried and McCarthy, Mark I and Oldehinkel, Albertine J and Ong, Ken K and Pedersen, Nancy L and Pereira, Mark A and Peters, Annette and Ridker, Paul M and Sabanayagam, Charumathi and Sale, Michele and Saleheen, Danish and Saltevo, Juha and Schwarz, Peter Eh and Sheu, Wayne H H and Snieder, Harold and Spector, Timothy D and Tabara, Yasuharu and Tuomilehto, Jaakko and van Dam, Rob M and Wilson, James G and Wilson, James F and Wolffenbuttel, Bruce H R and Wong, Tien Yin and Wu, Jer-Yuarn and Yuan, Jian-Min and Zonderman, Alan B and Soranzo, Nicole and Guo, Xiuqing and Roberts, David J and Florez, Jose C and Sladek, Robert and Dupuis, Jos{\'e}e and Morris, Andrew P and Tai, E-Shyong and Selvin, Elizabeth and Rotter, Jerome I and Langenberg, Claudia and Barroso, In{\^e}s and Meigs, James B} } @article {7600, title = {Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {2017 Jul 19}, pages = {80}, abstract = {

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 {\texttimes} 10-8) or suggestively genome wide (p < 2.3 {\texttimes} 10-6). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.Lean body mass is a highly heritable trait and is associated with various health conditions. Here, Kiel and colleagues perform a meta-analysis of genome-wide association studies for whole body lean body mass and find five novel genetic loci to be significantly associated.

}, issn = {2041-1723}, doi = {10.1038/s41467-017-00031-7}, author = {Zillikens, M Carola and Demissie, Serkalem and Hsu, Yi-Hsiang and Yerges-Armstrong, Laura M and Chou, Wen-Chi and Stolk, Lisette and Livshits, Gregory and Broer, Linda and Johnson, Toby and Koller, Daniel L and Kutalik, Zolt{\'a}n and Luan, Jian{\textquoteright}an and Malkin, Ida and Ried, Janina S and Smith, Albert V and Thorleifsson, Gudmar and Vandenput, Liesbeth and Hua Zhao, Jing and Zhang, Weihua and Aghdassi, Ali and {\r A}kesson, Kristina and Amin, Najaf and Baier, Leslie J and Barroso, In{\^e}s and Bennett, David A and Bertram, Lars and Biffar, Rainer and Bochud, Murielle and Boehnke, Michael and Borecki, Ingrid B and Buchman, Aron S and Byberg, Liisa and Campbell, Harry and Campos Obanda, Natalia and Cauley, Jane A and Cawthon, Peggy M and Cederberg, Henna and Chen, Zhao and Cho, Nam H and Jin Choi, Hyung and Claussnitzer, Melina and Collins, Francis and Cummings, Steven R and De Jager, Philip L and Demuth, Ilja and Dhonukshe-Rutten, Rosalie A M and Diatchenko, Luda and Eiriksdottir, Gudny and Enneman, Anke W and Erdos, Mike and Eriksson, Johan G and Eriksson, Joel and Estrada, Karol and Evans, Daniel S and Feitosa, Mary F and Fu, Mao and Garcia, Melissa and Gieger, Christian and Girke, Thomas and Glazer, Nicole L and Grallert, Harald and Grewal, Jagvir and Han, Bok-Ghee and Hanson, Robert L and Hayward, Caroline and Hofman, Albert and Hoffman, Eric P and Homuth, Georg and Hsueh, Wen-Chi and Hubal, Monica J and Hubbard, Alan and Huffman, Kim M and Husted, Lise B and Illig, Thomas and Ingelsson, Erik and Ittermann, Till and Jansson, John-Olov and Jordan, Joanne M and Jula, Antti and Karlsson, Magnus and Khaw, Kay-Tee and Kilpel{\"a}inen, Tuomas O and Klopp, Norman and Kloth, Jacqueline S L and Koistinen, Heikki A and Kraus, William E and Kritchevsky, Stephen and Kuulasmaa, Teemu and Kuusisto, Johanna and Laakso, Markku and Lahti, Jari and Lang, Thomas and Langdahl, Bente L and Launer, Lenore J and Lee, Jong-Young and Lerch, Markus M and Lewis, Joshua R and Lind, Lars and Lindgren, Cecilia and Liu, Yongmei and Liu, Tian and Liu, Youfang and Ljunggren, Osten and Lorentzon, Mattias and Luben, Robert N and Maixner, William and McGuigan, Fiona E and Medina-G{\'o}mez, Carolina and Meitinger, Thomas and Melhus, H{\r a}kan and Mellstr{\"o}m, Dan and Melov, Simon and Micha{\"e}lsson, Karl and Mitchell, Braxton D and Morris, Andrew P and Mosekilde, Leif and Newman, Anne and Nielson, Carrie M and O{\textquoteright}Connell, Jeffrey R and Oostra, Ben A and Orwoll, Eric S and Palotie, Aarno and Parker, Stephen C J and Peacock, Munro and Perola, Markus and Peters, Annette and Polasek, Ozren and Prince, Richard L and R{\"a}ikk{\"o}nen, Katri and Ralston, Stuart H and Ripatti, Samuli and Robbins, John A and Rotter, Jerome I and Rudan, Igor and Salomaa, Veikko and Satterfield, Suzanne and Schadt, Eric E and Schipf, Sabine and Scott, Laura and Sehmi, Joban and Shen, Jian and Soo Shin, Chan and Sigurdsson, Gunnar and Smith, Shad and Soranzo, Nicole and Stan{\v c}{\'a}kov{\'a}, Alena and Steinhagen-Thiessen, Elisabeth and Streeten, Elizabeth A and Styrkarsdottir, Unnur and Swart, Karin M A and Tan, Sian-Tsung and Tarnopolsky, Mark A and Thompson, Patricia and Thomson, Cynthia A and Thorsteinsdottir, Unnur and Tikkanen, Emmi and Tranah, Gregory J and Tuomilehto, Jaakko and van Schoor, Natasja M and Verma, Arjun and Vollenweider, Peter and V{\"o}lzke, Henry and Wactawski-Wende, Jean and Walker, Mark and Weedon, Michael N and Welch, Ryan and Wichmann, H-Erich and Widen, Elisabeth and Williams, Frances M K and Wilson, James F and Wright, Nicole C and Xie, Weijia and Yu, Lei and Zhou, Yanhua and Chambers, John C and D{\"o}ring, Angela and van Duijn, Cornelia M and Econs, Michael J and Gudnason, Vilmundur and Kooner, Jaspal S and Psaty, Bruce M and Spector, Timothy D and Stefansson, Kari and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Ossowski, Vicky and Waterworth, Dawn and Loos, Ruth J F and Karasik, David and Harris, Tamara B and Ohlsson, Claes and Kiel, Douglas P} } @article {7396, title = {Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Jun}, pages = {946-952}, abstract = {

Atrial fibrillation affects more than 33 million people worldwide and increases the risk of stroke, heart failure, and death. Fourteen genetic loci have been associated with atrial fibrillation in European and Asian ancestry groups. To further define the genetic basis of atrial fibrillation, we performed large-scale, trans-ancestry meta-analyses of common and rare variant association studies. The genome-wide association studies (GWAS) included 17,931 individuals with atrial fibrillation and 115,142 referents; the exome-wide association studies (ExWAS) and rare variant association studies (RVAS) involved 22,346 cases and 132,086 referents. We identified 12 new genetic loci that exceeded genome-wide significance, implicating genes involved in cardiac electrical and structural remodeling. Our results nearly double the number of known genetic loci for atrial fibrillation, provide insights into the molecular basis of atrial fibrillation, and may facilitate the identification of new potential targets for drug discovery.

}, issn = {1546-1718}, doi = {10.1038/ng.3843}, author = {Christophersen, Ingrid E and Rienstra, Michiel and Roselli, Carolina and Yin, Xiaoyan and Geelhoed, Bastiaan and Barnard, John and Lin, Honghuang and Arking, Dan E and Smith, Albert V and Albert, Christine M and Chaffin, Mark and Tucker, Nathan R and Li, Molong and Klarin, Derek and Bihlmeyer, Nathan A and Low, Siew-Kee and Weeke, Peter E and M{\"u}ller-Nurasyid, Martina and Smith, J Gustav and Brody, Jennifer A and Niemeijer, Maartje N and D{\"o}rr, Marcus and Trompet, Stella and Huffman, Jennifer and Gustafsson, Stefan and Schurmann, Claudia and Kleber, Marcus E and Lyytik{\"a}inen, Leo-Pekka and Sepp{\"a}l{\"a}, Ilkka and Malik, Rainer and Horimoto, Andrea R V R and Perez, Marco and Sinisalo, Juha and Aeschbacher, Stefanie and Th{\'e}riault, S{\'e}bastien and Yao, Jie and Radmanesh, Farid and Weiss, Stefan and Teumer, Alexander and Choi, Seung Hoan and Weng, Lu-Chen and Clauss, Sebastian and Deo, Rajat and Rader, Daniel J and Shah, Svati H and Sun, Albert and Hopewell, Jemma C and Debette, Stephanie and Chauhan, Ganesh and Yang, Qiong and Worrall, Bradford B and Par{\'e}, Guillaume and Kamatani, Yoichiro and Hagemeijer, Yanick P and Verweij, Niek and Siland, Joylene E and Kubo, Michiaki and Smith, Jonathan D and Van Wagoner, David R and Bis, Joshua C and Perz, Siegfried and Psaty, Bruce M and Ridker, Paul M and Magnani, Jared W and Harris, Tamara B and Launer, Lenore J and Shoemaker, M Benjamin and Padmanabhan, Sandosh and Haessler, Jeffrey and Bartz, Traci M and Waldenberger, Melanie and Lichtner, Peter and Arendt, Marina and Krieger, Jose E and K{\"a}h{\"o}nen, Mika and Risch, Lorenz and Mansur, Alfredo J and Peters, Annette and Smith, Blair H and Lind, Lars and Scott, Stuart A and Lu, Yingchang and Bottinger, Erwin B and Hernesniemi, Jussi and Lindgren, Cecilia M and Wong, Jorge A and Huang, Jie and Eskola, Markku and Morris, Andrew P and Ford, Ian and Reiner, Alex P and Delgado, Graciela and Chen, Lin Y and Chen, Yii-Der Ida and Sandhu, Roopinder K and Li, Man and Boerwinkle, Eric and Eisele, Lewin and Lannfelt, Lars and Rost, Natalia and Anderson, Christopher D and Taylor, Kent D and Campbell, Archie and Magnusson, Patrik K and Porteous, David and Hocking, Lynne J and Vlachopoulou, Efthymia and Pedersen, Nancy L and Nikus, Kjell and Orho-Melander, Marju and Hamsten, Anders and Heeringa, Jan and Denny, Joshua C and Kriebel, Jennifer and Darbar, Dawood and Newton-Cheh, Christopher and Shaffer, Christian and Macfarlane, Peter W and Heilmann-Heimbach, Stefanie and Almgren, Peter and Huang, Paul L and Sotoodehnia, Nona and Soliman, Elsayed Z and Uitterlinden, Andr{\'e} G and Hofman, Albert and Franco, Oscar H and V{\"o}lker, Uwe and J{\"o}ckel, Karl-Heinz and Sinner, Moritz F and Lin, Henry J and Guo, Xiuqing and Dichgans, Martin and Ingelsson, Erik and Kooperberg, Charles and Melander, Olle and Loos, Ruth J F and Laurikka, Jari and Conen, David and Rosand, Jonathan and van der Harst, Pim and Lokki, Marja-Liisa and Kathiresan, Sekar and Pereira, Alexandre and Jukema, J Wouter and Hayward, Caroline and Rotter, Jerome I and M{\"a}rz, Winfried and Lehtim{\"a}ki, Terho and Stricker, Bruno H and Chung, Mina K and Felix, Stephan B and Gudnason, Vilmundur and Alonso, Alvaro and Roden, Dan M and K{\"a}{\"a}b, Stefan and Chasman, Daniel I and Heckbert, Susan R and Benjamin, Emelia J and Tanaka, Toshihiro and Lunetta, Kathryn L and Lubitz, Steven A and Ellinor, Patrick T} } @article {7687, title = {Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets.}, journal = {Cell Rep}, volume = {21}, year = {2017}, month = {2017 Nov 28}, pages = {2597-2613}, abstract = {

Here, we present a large (n~= 107,207) genome-wide association study (GWAS) of general cognitive ability ("g"), further enhanced by combining results with a large-scale GWAS of educational attainment. We identified 70 independent genomic loci associated with general cognitive ability. Results showed significant enrichment for genes causing Mendelian disorders with an intellectual disability phenotype. Competitive pathway analysis implicated the biological processes of neurogenesis and synaptic regulation, as well as the gene targets of two pharmacologic agents: cinnarizine, a T-type calcium channel blocker, and LY97241, a potassium channel inhibitor. Transcriptome-wide and epigenome-wide analysis revealed that the implicated loci were enriched for genes expressed across all brain regions (most strongly in the cerebellum). Enrichment was exclusive to genes expressed in neurons but not oligodendrocytes or astrocytes. Finally, we report genetic correlations between cognitive ability and disparate phenotypes including psychiatric disorders, several autoimmune disorders, longevity, and maternal age at first birth.

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2017.11.028}, author = {Lam, Max and Trampush, Joey W and Yu, Jin and Knowles, Emma and Davies, Gail and Liewald, David C and Starr, John M and Djurovic, Srdjan and Melle, Ingrid and Sundet, Kjetil and Christoforou, Andrea and Reinvang, Ivar and DeRosse, Pamela and Lundervold, Astri J and Steen, Vidar M and Espeseth, Thomas and R{\"a}ikk{\"o}nen, Katri and Widen, Elisabeth and Palotie, Aarno and Eriksson, Johan G and Giegling, Ina and Konte, Bettina and Roussos, Panos and Giakoumaki, Stella and Burdick, Katherine E and Payton, Antony and Ollier, William and Chiba-Falek, Ornit and Attix, Deborah K and Need, Anna C and Cirulli, Elizabeth T and Voineskos, Aristotle N and Stefanis, Nikos C and Avramopoulos, Dimitrios and Hatzimanolis, Alex and Arking, Dan E and Smyrnis, Nikolaos and Bilder, Robert M and Freimer, Nelson A and Cannon, Tyrone D and London, Edythe and Poldrack, Russell A and Sabb, Fred W and Congdon, Eliza and Conley, Emily Drabant and Scult, Matthew A and Dickinson, Dwight and Straub, Richard E and Donohoe, Gary and Morris, Derek and Corvin, Aiden and Gill, Michael and Hariri, Ahmad R and Weinberger, Daniel R and Pendleton, Neil and Bitsios, Panos and Rujescu, Dan and Lahti, Jari and Le Hellard, Stephanie and Keller, Matthew C and Andreassen, Ole A and Deary, Ian J and Glahn, David C and Malhotra, Anil K and Lencz, Todd} } @article {7688, title = {Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness.}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {2017 Jul 12}, pages = {16015}, abstract = {

Hand grip strength is a widely used proxy of muscular fitness, a marker of frailty, and predictor of a range of morbidities and all-cause mortality. To investigate the genetic determinants of variation in grip strength, we perform a large-scale genetic discovery analysis in a combined sample of 195,180 individuals and identify 16 loci associated with grip strength (P<5 {\texttimes} 10) in combined analyses. A number of these loci contain genes implicated in structure and function of skeletal muscle fibres (ACTG1), neuronal maintenance and signal transduction (PEX14, TGFA, SYT1), or monogenic syndromes with involvement of psychomotor impairment (PEX14, LRPPRC and KANSL1). Mendelian randomization analyses are consistent with a causal effect of higher genetically predicted grip strength on lower fracture risk. In conclusion, our findings provide new biological insight into the mechanistic underpinnings of grip strength and the causal role of muscular strength in age-related morbidities and mortality.

}, issn = {2041-1723}, doi = {10.1038/ncomms16015}, author = {Willems, Sara M and Wright, Daniel J and Day, Felix R and Trajanoska, Katerina and Joshi, Peter K and Morris, John A and Matteini, Amy M and Garton, Fleur C and Grarup, Niels and Oskolkov, Nikolay and Thalamuthu, Anbupalam and Mangino, Massimo and Liu, Jun and Demirkan, Ayse and Lek, Monkol and Xu, Liwen and Wang, Guan and Oldmeadow, Christopher and Gaulton, Kyle J and Lotta, Luca A and Miyamoto-Mikami, Eri and Rivas, Manuel A and White, Tom and Loh, Po-Ru and Aadahl, Mette and Amin, Najaf and Attia, John R and Austin, Krista and Benyamin, Beben and Brage, S{\o}ren and Cheng, Yu-Ching and Ci{\k e}szczyk, Pawe{\l} and Derave, Wim and Eriksson, Karl-Fredrik and Eynon, Nir and Linneberg, Allan and Lucia, Alejandro and Massidda, Myosotis and Mitchell, Braxton D and Miyachi, Motohiko and Murakami, Haruka and Padmanabhan, Sandosh and Pandey, Ashutosh and Papadimitriou, Ioannis and Rajpal, Deepak K and Sale, Craig and Schnurr, Theresia M and Sessa, Francesco and Shrine, Nick and Tobin, Martin D and Varley, Ian and Wain, Louise V and Wray, Naomi R and Lindgren, Cecilia M and MacArthur, Daniel G and Waterworth, Dawn M and McCarthy, Mark I and Pedersen, Oluf and Khaw, Kay-Tee and Kiel, Douglas P and Pitsiladis, Yannis and Fuku, Noriyuki and Franks, Paul W and North, Kathryn N and van Duijn, Cornelia M and Mather, Karen A and Hansen, Torben and Hansson, Ola and Spector, Tim and Murabito, Joanne M and Richards, J Brent and Rivadeneira, Fernando and Langenberg, Claudia and Perry, John R B and Wareham, Nick J and Scott, Robert A} } @article {7487, title = {Low-Frequency Synonymous Coding Variation in CYP2R1 Has Large Effects on Vitamin D Levels and Risk of Multiple Sclerosis.}, journal = {Am J Hum Genet}, volume = {101}, year = {2017}, month = {2017 Aug 03}, pages = {227-238}, abstract = {

Vitamin D insufficiency is common, correctable, and influenced by genetic factors, and it has been associated with risk of several diseases. We sought to identify low-frequency genetic variants that strongly increase the risk of vitamin D insufficiency and tested their effect on risk of multiple sclerosis, a disease influenced by low vitamin D concentrations. We used whole-genome sequencing data from 2,619 individuals through the UK10K program and deep-imputation data from 39,655 individuals genotyped genome-wide. Meta-analysis of the summary statistics from 19 cohorts identified in CYP2R1 the low-frequency (minor allele frequency = 2.5\%) synonymous coding variant g.14900931G>A (p.Asp120Asp) (rs117913124[A]), which conferred a large effect on 25-hydroxyvitamin D (25OHD) levels (-0.43 SD of standardized natural log-transformed 25OHD per A allele; p value = 1.5~{\texttimes} 10(-88)). The effect on 25OHD was four times larger and independent of the effect of a previously described common variant near CYP2R1. By analyzing 8,711 individuals, we showed that heterozygote carriers of this low-frequency variant have an increased risk of vitamin D insufficiency (odds ratio [OR] = 2.2, 95\% confidence interval [CI] = 1.78-2.78, p = 1.26~{\texttimes} 10(-12)). Individuals carrying one copy of this variant also had increased odds of multiple sclerosis (OR = 1.4, 95\% CI = 1.19-1.64, p = 2.63~{\texttimes} 10(-5)) in a sample of 5,927 case and 5,599 control subjects. In~conclusion, we describe a low-frequency CYP2R1 coding variant that exerts the largest effect upon 25OHD levels identified to date in the general European population and implicates vitamin D in the etiology of multiple sclerosis.

}, keywords = {Cholestanetriol 26-Monooxygenase, Cytochrome P450 Family 2, Gene Frequency, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Multiple Sclerosis, Polymorphism, Single Nucleotide, Risk Factors, Vitamin D, Vitamin D Deficiency}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2017.06.014}, author = {Manousaki, Despoina and Dudding, Tom and Haworth, Simon and Hsu, Yi-Hsiang and Liu, Ching-Ti and Medina-G{\'o}mez, Carolina and Voortman, Trudy and van der Velde, Nathalie and Melhus, H{\r a}kan and Robinson-Cohen, Cassianne and Cousminer, Diana L and Nethander, Maria and Vandenput, Liesbeth and Noordam, Raymond and Forgetta, Vincenzo and Greenwood, Celia M T and Biggs, Mary L and Psaty, Bruce M and Rotter, Jerome I and Zemel, Babette S and Mitchell, Jonathan A and Taylor, Bruce and Lorentzon, Mattias and Karlsson, Magnus and Jaddoe, Vincent V W and Tiemeier, Henning and Campos-Obando, Natalia and Franco, Oscar H and Utterlinden, Andre G and Broer, Linda and van Schoor, Natasja M and Ham, Annelies C and Ikram, M Arfan and Karasik, David and de Mutsert, Ren{\'e}e and Rosendaal, Frits R and den Heijer, Martin and Wang, Thomas J and Lind, Lars and Orwoll, Eric S and Mook-Kanamori, Dennis O and Micha{\"e}lsson, Karl and Kestenbaum, Bryan and Ohlsson, Claes and Mellstr{\"o}m, Dan and de Groot, Lisette C P G M and Grant, Struan F A and Kiel, Douglas P and Zillikens, M Carola and Rivadeneira, Fernando and Sawcer, Stephen and Timpson, Nicholas J and Richards, J Brent} } @article {7492, title = {Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney.}, journal = {Hypertension}, year = {2017}, month = {2017 Jul 24}, abstract = {

Elevated blood pressure is a major risk factor for cardiovascular disease and has a substantial genetic contribution. Genetic variation influencing blood pressure has the potential to identify new pharmacological targets for the treatment of hypertension. To discover additional novel blood pressure loci, we used 1000 Genomes Project-based imputation in 150 134 European ancestry individuals and sought significant evidence for independent replication in a further 228 245 individuals. We report 6 new signals of association in or near HSPB7, TNXB, LRP12, LOC283335, SEPT9, and AKT2, and provide new replication evidence for a further 2 signals in EBF2 and NFKBIA Combining large whole-blood gene expression resources totaling 12 607 individuals, we investigated all novel and previously reported signals and identified 48 genes with evidence for involvement in blood pressure regulation that are significant in multiple resources. Three novel kidney-specific signals were also detected. These robustly implicated genes may provide new leads for therapeutic innovation.

}, issn = {1524-4563}, doi = {10.1161/HYPERTENSIONAHA.117.09438}, author = {Wain, Louise V and Vaez, Ahmad and Jansen, Rick and Joehanes, Roby and van der Most, Peter J and Erzurumluoglu, A Mesut and O{\textquoteright}Reilly, Paul F and Cabrera, Claudia P and Warren, Helen R and Rose, Lynda M and Verwoert, Germaine C and Hottenga, Jouke-Jan and Strawbridge, Rona J and Esko, T{\~o}nu and Arking, Dan E and Hwang, Shih-Jen and Guo, Xiuqing and Kutalik, Zolt{\'a}n and Trompet, Stella and Shrine, Nick and Teumer, Alexander and Ried, Janina S and Bis, Joshua C and Smith, Albert V and Amin, Najaf and Nolte, Ilja M and Lyytik{\"a}inen, Leo-Pekka and Mahajan, Anubha and Wareham, Nicholas J and Hofer, Edith and Joshi, Peter K and Kristiansson, Kati and Traglia, Michela and Havulinna, Aki S and Goel, Anuj and Nalls, Mike A and S{\~o}ber, Siim and Vuckovic, Dragana and Luan, Jian{\textquoteright}an and del Greco M, Fabiola and Ayers, Kristin L and Marrugat, Jaume and Ruggiero, Daniela and Lopez, Lorna M and Niiranen, Teemu and Enroth, Stefan and Jackson, Anne U and Nelson, Christopher P and Huffman, Jennifer E and Zhang, Weihua and Marten, Jonathan and Gandin, Ilaria and Harris, Sarah E and Zemunik, Tatijana and Lu, Yingchang and Evangelou, Evangelos and Shah, Nabi and de Borst, Martin H and Mangino, Massimo and Prins, Bram P and Campbell, Archie and Li-Gao, Ruifang and Chauhan, Ganesh and Oldmeadow, Christopher and Abecasis, Goncalo and Abedi, Maryam and Barbieri, Caterina M and Barnes, Michael R and Batini, Chiara and Beilby, John and Blake, Tineka and Boehnke, Michael and Bottinger, Erwin P and Braund, Peter S and Brown, Morris and Brumat, Marco and Campbell, Harry and Chambers, John C and Cocca, Massimiliano and Collins, Francis and Connell, John and Cordell, Heather J and Damman, Jeffrey J and Davies, Gail and de Geus, Eco J and de Mutsert, Ren{\'e}e and Deelen, Joris and Demirkale, Yusuf and Doney, Alex S F and D{\"o}rr, Marcus and Farrall, Martin and Ferreira, Teresa and Fr{\r a}nberg, Mattias and Gao, He and Giedraitis, Vilmantas and Gieger, Christian and Giulianini, Franco and Gow, Alan J and Hamsten, Anders and Harris, Tamara B and Hofman, Albert and Holliday, Elizabeth G and Hui, Jennie and Jarvelin, Marjo-Riitta and Johansson, Asa and Johnson, Andrew D and Jousilahti, Pekka and Jula, Antti and K{\"a}h{\"o}nen, Mika and Kathiresan, Sekar and Khaw, Kay-Tee and Kolcic, Ivana and Koskinen, Seppo and Langenberg, Claudia and Larson, Marty and Launer, Lenore J and Lehne, Benjamin and Liewald, David C M and Lin, Li and Lind, Lars and Mach, Fran{\c c}ois and Mamasoula, Chrysovalanto and Menni, Cristina and Mifsud, Borbala and Milaneschi, Yuri and Morgan, Anna and Morris, Andrew D and Morrison, Alanna C and Munson, Peter J and Nandakumar, Priyanka and Nguyen, Quang Tri and Nutile, Teresa and Oldehinkel, Albertine J and Oostra, Ben A and Org, Elin and Padmanabhan, Sandosh and Palotie, Aarno and Par{\'e}, Guillaume and Pattie, Alison and Penninx, Brenda W J H and Poulter, Neil and Pramstaller, Peter P and Raitakari, Olli T and Ren, Meixia and Rice, Kenneth and Ridker, Paul M and Riese, Harri{\"e}tte and Ripatti, Samuli and Robino, Antonietta and Rotter, Jerome I and Rudan, Igor and Saba, Yasaman and Saint Pierre, Aude and Sala, Cinzia F and Sarin, Antti-Pekka and Schmidt, Reinhold and Scott, Rodney and Seelen, Marc A and Shields, Denis C and Siscovick, David and Sorice, Rossella and Stanton, Alice and Stott, David J and Sundstr{\"o}m, Johan and Swertz, Morris and Taylor, Kent D and Thom, Simon and Tzoulaki, Ioanna and Tzourio, Christophe and Uitterlinden, Andr{\'e} G and V{\"o}lker, Uwe and Vollenweider, Peter and Wild, Sarah and Willemsen, Gonneke and Wright, Alan F and Yao, Jie and Th{\'e}riault, S{\'e}bastien and Conen, David and Attia, John and Sever, Peter and Debette, Stephanie and Mook-Kanamori, Dennis O and Zeggini, Eleftheria and Spector, Tim D and van der Harst, Pim and Palmer, Colin N A and Vergnaud, Anne-Claire and Loos, Ruth J F and Polasek, Ozren and Starr, John M and Girotto, Giorgia and Hayward, Caroline and Kooner, Jaspal S and Lindgren, Cecila M and Vitart, Veronique and Samani, Nilesh J and Tuomilehto, Jaakko and Gyllensten, Ulf and Knekt, Paul and Deary, Ian J and Ciullo, Marina and Elosua, Roberto and Keavney, Bernard D and Hicks, Andrew A and Scott, Robert A and Gasparini, Paolo and Laan, Maris and Liu, Yongmei and Watkins, Hugh and Hartman, Catharina A and Salomaa, Veikko and Toniolo, Daniela and Perola, Markus and Wilson, James F and Schmidt, Helena and Zhao, Jing Hua and Lehtim{\"a}ki, Terho and van Duijn, Cornelia M and Gudnason, Vilmundur and Psaty, Bruce M and Peters, Annette and Rettig, Rainer and James, Alan and Jukema, J Wouter and Strachan, David P and Palmas, Walter and Metspalu, Andres and Ingelsson, Erik and Boomsma, Dorret I and Franco, Oscar H and Bochud, Murielle and Newton-Cheh, Christopher and Munroe, Patricia B and Elliott, Paul and Chasman, Daniel I and Chakravarti, Aravinda and Knight, Joanne and Morris, Andrew P and Levy, Daniel and Tobin, Martin D and Snieder, Harold and Caulfield, Mark J and Ehret, Georg B} } @article {8552, title = {{Novel genetic loci associated with hippocampal volume}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {01}, pages = {13624}, abstract = {The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer{\textquoteright}s disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.}, author = {Hibar, D. P. and Adams, H. H. H. and Jahanshad, N. and Chauhan, G. and Stein, J. L. and Hofer, E. and Renteria, M. E. and Bis, J. C. and Arias-Vasquez, A. and Ikram, M. K. and Desrivi?res, S. and Vernooij, M. W. and Abramovic, L. and Alhusaini, S. and Amin, N. and Andersson, M. and Arfanakis, K. and Aribisala, B. S. and Armstrong, N. J. and Athanasiu, L. and Axelsson, T. and Beecham, A. H. and Beiser, A. and Bernard, M. and Blanton, S. H. and Bohlken, M. M. and Boks, M. P. and Bralten, J. and Brickman, A. M. and Carmichael, O. and Chakravarty, M. M. and Chen, Q. and Ching, C. R. K. and Chouraki, V. and Cuellar-Partida, G. and Crivello, F. and den Braber, A. and Doan, N. T. and Ehrlich, S. and Giddaluru, S. and Goldman, A. L. and Gottesman, R. F. and Grimm, O. and Griswold, M. E. and Guadalupe, T. and Gutman, B. A. and Hass, J. and Haukvik, U. K. and Hoehn, D. and Holmes, A. J. and Hoogman, M. and Janowitz, D. and Jia, T. and J?rgensen, K. N. and Karbalai, N. and Kasperaviciute, D. and Kim, S. and Klein, M. and Kraemer, B. and Lee, P. H. and Liewald, D. C. M. and Lopez, L. M. and Luciano, M. and Macare, C. and Marquand, A. F. and Matarin, M. and Mather, K. A. and Mattheisen, M. and McKay, D. R. and Milaneschi, Y. and Mu?oz Maniega, S. and Nho, K. and Nugent, A. C. and Nyquist, P. and Loohuis, L. M. O. and Oosterlaan, J. and Papmeyer, M. and Pirpamer, L. and P?tz, B. and Ramasamy, A. and Richards, J. S. and Risacher, S. L. and Roiz-Santia?ez, R. and Rommelse, N. and Ropele, S. and Rose, E. J. and Royle, N. A. and Rundek, T. and S?mann, P. G. and Saremi, A. and Satizabal, C. L. and Schmaal, L. and Schork, A. J. and Shen, L. and Shin, J. and Shumskaya, E. and Smith, A. V. and Sprooten, E. and Strike, L. T. and Teumer, A. and Tordesillas-Gutierrez, D. and Toro, R. and Trabzuni, D. and Trompet, S. and Vaidya, D. and van der Grond, J. and van der Lee, S. J. and van der Meer, D. and van Donkelaar, M. M. J. and Van Eijk, K. R. and van Erp, T. G. M. and van Rooij, D. and Walton, E. and Westlye, L. T. and Whelan, C. D. and Windham, B. G. and Winkler, A. M. and Wittfeld, K. and Woldehawariat, G. and Wolf, C. and Wolfers, T. and Yanek, L. R. and Yang, J. and Zijdenbos, A. and Zwiers, M. P. and Agartz, I. and Almasy, L. and Ames, D. and Amouyel, P. and Andreassen, O. A. and Arepalli, S. and Assareh, A. A. and Barral, S. and Bastin, M. E. and Becker, D. M. and Becker, J. T. and Bennett, D. A. and Blangero, J. and van Bokhoven, H. and Boomsma, D. I. and Brodaty, H. and Brouwer, R. M. and Brunner, H. G. and Buckner, R. L. and Buitelaar, J. K. and Bulayeva, K. B. and Cahn, W. and Calhoun, V. D. and Cannon, D. M. and Cavalleri, G. L. and Cheng, C. Y. and Cichon, S. and Cookson, M. R. and Corvin, A. and Crespo-Facorro, B. and Curran, J. E. and Czisch, M. and Dale, A. M. and Davies, G. E. and de Craen, A. J. M. and de Geus, E. J. C. and De Jager, P. L. and de Zubicaray, G. I. and Deary, I. J. and Debette, S. and DeCarli, C. and Delanty, N. and Depondt, C. and DeStefano, A. and Dillman, A. and Djurovic, S. and Donohoe, G. and Drevets, W. C. and Duggirala, R. and Dyer, T. D. and Enzinger, C. and Erk, S. and Espeseth, T. and Fedko, I. O. and Fern?ndez, G. and Ferrucci, L. and Fisher, S. E. and Fleischman, D. A. and Ford, I. and Fornage, M. and Foroud, T. M. and Fox, P. T. and Francks, C. and Fukunaga, M. and Gibbs, J. R. and Glahn, D. C. and Gollub, R. L. and G?ring, H. H. H. and Green, R. C. and Gruber, O. and Gudnason, V. and Guelfi, S. and H?berg, A. K. and Hansell, N. K. and Hardy, J. and Hartman, C. A. and Hashimoto, R. and Hegenscheid, K. and Heinz, A. and Le Hellard, S. and Hernandez, D. G. and Heslenfeld, D. J. and Ho, B. C. and Hoekstra, P. J. and Hoffmann, W. and Hofman, A. and Holsboer, F. and Homuth, G. and Hosten, N. and Hottenga, J. J. and Huentelman, M. and Hulshoff Pol, H. E. and Ikeda, M. and Jack, C. R. and Jenkinson, M. and Johnson, R. and J?nsson, E. G. and Jukema, J. W. and Kahn, R. S. and Kanai, R. and Kloszewska, I. and Knopman, D. S. and Kochunov, P. and Kwok, J. B. and Lawrie, S. M. and Lema?tre, H. and Liu, X. and Longo, D. L. and Lopez, O. L. and Lovestone, S. and Martinez, O. and Martinot, J. L. and Mattay, V. S. and McDonald, C. and McIntosh, A. M. and McMahon, F. J. and McMahon, K. L. and Mecocci, P. and Melle, I. and Meyer-Lindenberg, A. and Mohnke, S. and Montgomery, G. W. and Morris, D. W. and Mosley, T. H. and M?hleisen, T. W. and M?ller-Myhsok, B. and Nalls, M. A. and Nauck, M. and Nichols, T. E. and Niessen, W. J. and N?then, M. M. and Nyberg, L. and Ohi, K. and Olvera, R. L. and Ophoff, R. A. and Pandolfo, M. and Paus, T. and Pausova, Z. and Penninx, B. W. J. H. and Pike, G. B. and Potkin, S. G. and Psaty, B. M. and Reppermund, S. and Rietschel, M. and Roffman, J. L. and Romanczuk-Seiferth, N. and Rotter, J. I. and Ryten, M. and Sacco, R. L. and Sachdev, P. S. and Saykin, A. J. and Schmidt, R. and Schmidt, H. and Schofield, P. R. and Sigursson, S. and Simmons, A. and Singleton, A. and Sisodiya, S. M. and Smith, C. and Smoller, J. W. and Soininen, H. and Steen, V. M. and Stott, D. J. and Sussmann, J. E. and Thalamuthu, A. and Toga, A. W. and Traynor, B. J. and Troncoso, J. and Tsolaki, M. and Tzourio, C. and Uitterlinden, A. G. and Hern?ndez, M. C. V. and Van der Brug, M. and van der Lugt, A. and Van der Wee, N. J. A. and van Haren, N. E. M. and van {\textquoteright}t Ent, D. and van Tol, M. J. and Vardarajan, B. N. and Vellas, B. and Veltman, D. J. and V?lzke, H. and Walter, H. and Wardlaw, J. M. and Wassink, T. H. and Weale, M. E. and Weinberger, D. R. and Weiner, M. W. and Wen, W. and Westman, E. and White, T. and Wong, T. Y. and Wright, C. B. and Zielke, R. H. and Zonderman, A. B. and Martin, N. G. and van Duijn, C. M. and Wright, M. J. and Longstreth, W. T. and Schumann, G. and Grabe, H. J. and Franke, B. and Launer, L. J. and Medland, S. E. and Seshadri, S. and Thompson, P. M. and Ikram, M. A.} } @article {7580, title = {Novel polymorphisms associated with hyperalphalipoproteinemia and apparent cardioprotection.}, journal = {J Clin Lipidol}, year = {2017}, month = {2017 Nov 21}, abstract = {

BACKGROUND: Hyperalphalipoproteinemia (HALP) is inversely correlated with coronary heart disease (CHD) although genetic variants associated with high serum levels of high-density lipoprotein cholesterol (HDL-C) have not been shown to be cardioprotective.

OBJECTIVE: The objective of the study was to uncover novel genetic variants associated with HALP and possibly with reduced risk of CHD.

METHODS: Exome sequencing data, HDL-C, and triglyceride levels were analyzed in 1645 subjects. They included the University of Maryland outpatients with high HDL-C (n~=~12), Cardiovascular Health Study (n~=~210), Jackson Heart Study (n~=~402), Multi-Ethnic Study of Atherosclerosis (n~=~404), Framingham Heart Study (n~=~463), and Old Order Amish (n~=~154).

RESULTS: Novel nonsynonymous single-nucleotide polymorphisms (nsSNPs) were identified in men and women with primary HALP (mean HDL-C, 145 {\textpm} 30~mg/dL). Using PolyPhen-2 and Combined Annotation Dependent Depletion to estimate the predictive effect of each nsSNP on the gene product, rare, deleterious polymorphisms in UGT1A3, PLLP, PLEKHH1, ANK2, DIS3L, ACACB, and LRP4 were identified in 16 subjects with HALP but not in any tested subject with low HDL-C (<40~mg/dL). In addition, a single novel polymorphism, rs376849274, was found in OSBPL1A. The majority of these candidate genes have been implicated in fat and lipid metabolism, and none of these subjects has a history of CHD despite 75\% of subjects having risk factors for CHD. Overall, the probability of finding these nsSNPs in a non-high HDL-C population ranges from 1~{\texttimes}~10-17 to 1~{\texttimes}~10-25.

CONCLUSION: Novel functional polymorphisms in 8 candidate genes are associated with HALP in the absence of CHD. Future study is required to examine the extent to which these genes may affect HDL function and serve as potential therapeutic targets for CHD risk reduction.

}, issn = {1933-2874}, doi = {10.1016/j.jacl.2017.10.021}, author = {Oates, Connor P and Koenig, Darya and Rhyne, Jeffrey and Bogush, Nikolay and O{\textquoteright}Connell, Jeffrey and Mitchell, Braxton D and Miller, Michael} } @article {7491, title = {Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology.}, journal = {Pharmacogenomics J}, year = {2017}, month = {2017 Jul 18}, abstract = {

Thiazide diuretics, commonly used antihypertensives, may cause QT interval (QT) prolongation, a risk factor for highly fatal and difficult to predict ventricular arrhythmias. We examined whether common single-nucleotide polymorphisms (SNPs) modified the association between thiazide use and QT or its component parts (QRS interval, JT interval) by performing ancestry-specific, trans-ethnic and cross-phenotype genome-wide analyses of European (66\%), African American (15\%) and Hispanic (19\%) populations (N=78 199), leveraging longitudinal data, incorporating corrected standard errors to account for underestimation of interaction estimate variances and evaluating evidence for pathway enrichment. Although no loci achieved genome-wide significance (P<5 {\texttimes} 10(-8)), we found suggestive evidence (P<5 {\texttimes} 10(-6)) for SNPs modifying the thiazide-QT association at 22 loci, including ion transport loci (for example, NELL1, KCNQ3). The biologic plausibility of our suggestive results and simulations demonstrating modest power to detect interaction effects at genome-wide significant levels indicate that larger studies and innovative statistical methods are warranted in future efforts evaluating thiazide-SNP interactions.The Pharmacogenomics Journal advance online publication, 18 July 2017; doi:10.1038/tpj.2017.10.

}, issn = {1473-1150}, doi = {10.1038/tpj.2017.10}, author = {Seyerle, A A and Sitlani, C M and Noordam, R and Gogarten, S M and Li, J and Li, X and Evans, D S and Sun, F and Laaksonen, M A and Isaacs, A and Kristiansson, K and Highland, H M and Stewart, J D and Harris, T B and Trompet, S and Bis, J C and Peloso, G M and Brody, J A and Broer, L and Busch, E L and Duan, Q and Stilp, A M and O{\textquoteright}Donnell, C J and Macfarlane, P W and Floyd, J S and Kors, J A and Lin, H J and Li-Gao, R and Sofer, T and M{\'e}ndez-Gir{\'a}ldez, R and Cummings, S R and Heckbert, S R and Hofman, A and Ford, I and Li, Y and Launer, L J and Porthan, K and Newton-Cheh, C and Napier, M D and Kerr, K F and Reiner, A P and Rice, K M and Roach, J and Buckley, B M and Soliman, E Z and de Mutsert, R and Sotoodehnia, N and Uitterlinden, A G and North, K E and Lee, C R and Gudnason, V and St{\"u}rmer, T and Rosendaal, F R and Taylor, K D and Wiggins, K L and Wilson, J G and Chen, Y-DI and Kaplan, R C and Wilhelmsen, K and Cupples, L A and Salomaa, V and van Duijn, C and Jukema, J W and Liu, Y and Mook-Kanamori, D O and Lange, L A and Vasan, R S and Smith, A V and Stricker, B H and Laurie, C C and Rotter, J I and Whitsel, E A and Psaty, B M and Avery, C L} } @article {7342, title = {Predictors of incident epilepsy in older adults: The Cardiovascular Health Study.}, journal = {Neurology}, volume = {88}, year = {2017}, month = {2017 Feb 28}, pages = {870-877}, abstract = {

OBJECTIVE: To determine the prevalence, incidence, and predictors of epilepsy among older adults in the Cardiovascular Health Study (CHS).

METHODS: We analyzed data prospectively collected in CHS and merged with data from outpatient Medicare administrative claims. We identified cases with epilepsy using self-report, antiepileptic medication, hospitalization discharge ICD-9 codes, and outpatient Medicare ICD-9 codes. We used Cox proportional hazards regression to identify factors independently associated with incident epilepsy.

RESULTS: At baseline, 42\% of the 5,888 participants were men and 84\% were white. At enrollment, 3.7\% (215 of 5,888) met the criteria for prevalent epilepsy. During 14 years of follow-up totaling 48,651 person-years, 120 participants met the criteria for incident epilepsy, yielding an incidence rate of 2.47 per 1,000 person-years. The period prevalence of epilepsy by the end of follow-up was 5.7\% (335 of 5,888). Epilepsy incidence rates were significantly higher among blacks than nonblacks: 4.44 vs 2.17 per 1,000 person-years (p < 0.001). In multivariable analyses, risk of incident epilepsy was significantly higher among blacks compared to nonblacks (hazard ratio [HR] 4.04, 95\% confidence interval [CI] 1.99-8.17), those 75 to 79 compared to those 65 to 69 years of age (HR 2.07, 95\% CI 1.21-3.55), and those with history of stroke (HR 3.49, 95\% CI 1.37-8.88).

CONCLUSIONS: Epilepsy in older adults in the United States was common. Blacks, the very old, and those with history of stroke have a higher risk of incident epilepsy. The association with race remains unexplained.

}, issn = {1526-632X}, doi = {10.1212/WNL.0000000000003662}, author = {Choi, Hyunmi and Pack, Alison and Elkind, Mitchell S V and Longstreth, W T and Ton, Thanh G N and Onchiri, Frankline} } @article {7587, title = {Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer{\textquoteright}s disease.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Sep}, pages = {1373-1384}, abstract = {

We identified rare coding variants associated with Alzheimer{\textquoteright}s disease in a three-stage case-control study of 85,133 subjects. In stage 1, we genotyped 34,174 samples using a whole-exome microarray. In stage 2, we tested associated variants (P < 1 {\texttimes} 10-4) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, we used an additional 14,997 samples to test the most significant stage 2 associations (P < 5 {\texttimes} 10-8) using imputed genotypes. We observed three new genome-wide significant nonsynonymous variants associated with Alzheimer{\textquoteright}s disease: a protective variant in PLCG2 (rs72824905: p.Pro522Arg, P = 5.38 {\texttimes} 10-10, odds ratio (OR) = 0.68, minor allele frequency (MAF)cases = 0.0059, MAFcontrols = 0.0093), a risk variant in ABI3 (rs616338: p.Ser209Phe, P = 4.56 {\texttimes} 10-10, OR = 1.43, MAFcases = 0.011, MAFcontrols = 0.008), and a new genome-wide significant variant in TREM2 (rs143332484: p.Arg62His, P = 1.55 {\texttimes} 10-14, OR = 1.67, MAFcases = 0.0143, MAFcontrols = 0.0089), a known susceptibility gene for Alzheimer{\textquoteright}s disease. These protein-altering changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified risk genes in Alzheimer{\textquoteright}s disease. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer{\textquoteright}s disease.

}, keywords = {Adaptor Proteins, Signal Transducing, Alzheimer Disease, Amino Acid Sequence, Case-Control Studies, Exome, Gene Expression Profiling, Gene Frequency, Genetic Predisposition to Disease, Genotype, Humans, Immunity, Innate, Linkage Disequilibrium, Membrane Glycoproteins, Microglia, Odds Ratio, Phospholipase C gamma, Polymorphism, Single Nucleotide, Protein Interaction Maps, Receptors, Immunologic, Sequence Homology, Amino Acid}, issn = {1546-1718}, doi = {10.1038/ng.3916}, author = {Sims, Rebecca and van der Lee, Sven J and Naj, Adam C and Bellenguez, C{\'e}line and Badarinarayan, Nandini and Jakobsdottir, Johanna and Kunkle, Brian W and Boland, Anne and Raybould, Rachel and Bis, Joshua C and Martin, Eden R and Grenier-Boley, Benjamin and Heilmann-Heimbach, Stefanie and Chouraki, Vincent and Kuzma, Amanda B and Sleegers, Kristel and Vronskaya, Maria and Ruiz, Agustin and Graham, Robert R and Olaso, Robert and Hoffmann, Per and Grove, Megan L and Vardarajan, Badri N and Hiltunen, Mikko and N{\"o}then, Markus M and White, Charles C and Hamilton-Nelson, Kara L and Epelbaum, Jacques and Maier, Wolfgang and Choi, Seung-Hoan and Beecham, Gary W and Dulary, C{\'e}cile and Herms, Stefan and Smith, Albert V and Funk, Cory C and Derbois, C{\'e}line and Forstner, Andreas J and Ahmad, Shahzad and Li, Hongdong and Bacq, Delphine and Harold, Denise and Satizabal, Claudia L and Valladares, Otto and Squassina, Alessio and Thomas, Rhodri and Brody, Jennifer A and Qu, Liming and S{\'a}nchez-Juan, Pascual and Morgan, Taniesha and Wolters, Frank J and Zhao, Yi and Garcia, Florentino Sanchez and Denning, Nicola and Fornage, Myriam and Malamon, John and Naranjo, Maria Candida Deniz and Majounie, Elisa and Mosley, Thomas H and Dombroski, Beth and Wallon, David and Lupton, Michelle K and Dupuis, Jos{\'e}e and Whitehead, Patrice and Fratiglioni, Laura and Medway, Christopher and Jian, Xueqiu and Mukherjee, Shubhabrata and Keller, Lina and Brown, Kristelle and Lin, Honghuang and Cantwell, Laura B and Panza, Francesco and McGuinness, Bernadette and Moreno-Grau, Sonia and Burgess, Jeremy D and Solfrizzi, Vincenzo and Proitsi, Petra and Adams, Hieab H and Allen, Mariet and Seripa, Davide and Pastor, Pau and Cupples, L Adrienne and Price, Nathan D and Hannequin, Didier and Frank-Garc{\'\i}a, Ana and Levy, Daniel and Chakrabarty, Paramita and Caffarra, Paolo and Giegling, Ina and Beiser, Alexa S and Giedraitis, Vilmantas and Hampel, Harald and Garcia, Melissa E and Wang, Xue and Lannfelt, Lars and Mecocci, Patrizia and Eiriksdottir, Gudny and Crane, Paul K and Pasquier, Florence and Boccardi, Virginia and Hen{\'a}ndez, Isabel and Barber, Robert C and Scherer, Martin and Tarraga, Lluis and Adams, Perrie M and Leber, Markus and Chen, Yuning and Albert, Marilyn S and Riedel-Heller, Steffi and Emilsson, Valur and Beekly, Duane and Braae, Anne and Schmidt, Reinhold and Blacker, Deborah and Masullo, Carlo and Schmidt, Helena and Doody, Rachelle S and Spalletta, Gianfranco and Jr, W T Longstreth and Fairchild, Thomas J and Boss{\`u}, Paola and Lopez, Oscar L and Frosch, Matthew P and Sacchinelli, Eleonora and Ghetti, Bernardino and Yang, Qiong and Huebinger, Ryan M and Jessen, Frank and Li, Shuo and Kamboh, M Ilyas and Morris, John and Sotolongo-Grau, Oscar and Katz, Mindy J and Corcoran, Chris and Dunstan, Melanie and Braddel, Amy and Thomas, Charlene and Meggy, Alun and Marshall, Rachel and Gerrish, Amy and Chapman, Jade and Aguilar, Miquel and Taylor, Sarah and Hill, Matt and Fair{\'e}n, M{\`o}nica D{\'\i}ez and Hodges, Angela and Vellas, Bruno and Soininen, Hilkka and Kloszewska, Iwona and Daniilidou, Makrina and Uphill, James and Patel, Yogen and Hughes, Joseph T and Lord, Jenny and Turton, James and Hartmann, Annette M and Cecchetti, Roberta and Fenoglio, Chiara and Serpente, Maria and Arcaro, Marina and Caltagirone, Carlo and Orfei, Maria Donata and Ciaramella, Antonio and Pichler, Sabrina and Mayhaus, Manuel and Gu, Wei and Lleo, Alberto and Fortea, Juan and Blesa, Rafael and Barber, Imelda S and Brookes, Keeley and Cupidi, Chiara and Maletta, Raffaele Giovanni and Carrell, David and Sorbi, Sandro and Moebus, Susanne and Urbano, Maria and Pilotto, Alberto and Kornhuber, Johannes and Bosco, Paolo and Todd, Stephen and Craig, David and Johnston, Janet and Gill, Michael and Lawlor, Brian and Lynch, Aoibhinn and Fox, Nick C and Hardy, John and Albin, Roger L and Apostolova, Liana G and Arnold, Steven E and Asthana, Sanjay and Atwood, Craig S and Baldwin, Clinton T and Barnes, Lisa L and Barral, Sandra and Beach, Thomas G and Becker, James T and Bigio, Eileen H and Bird, Thomas D and Boeve, Bradley F and Bowen, James D and Boxer, Adam and Burke, James R and Burns, Jeffrey M and Buxbaum, Joseph D and Cairns, Nigel J and Cao, Chuanhai and Carlson, Chris S and Carlsson, Cynthia M and Carney, Regina M and Carrasquillo, Minerva M and Carroll, Steven L and Diaz, Carolina Ceballos and Chui, Helena C and Clark, David G and Cribbs, David H and Crocco, Elizabeth A and DeCarli, Charles and Dick, Malcolm and Duara, Ranjan and Evans, Denis A and Faber, Kelley M and Fallon, Kenneth B and Fardo, David W and Farlow, Martin R and Ferris, Steven and Foroud, Tatiana M and Galasko, Douglas R and Gearing, Marla and Geschwind, Daniel H and Gilbert, John R and Graff-Radford, Neill R and Green, Robert C and Growdon, John H and Hamilton, Ronald L and Harrell, Lindy E and Honig, Lawrence S and Huentelman, Matthew J and Hulette, Christine M and Hyman, Bradley T and Jarvik, Gail P and Abner, Erin and Jin, Lee-Way and Jun, Gyungah and Karydas, Anna and Kaye, Jeffrey A and Kim, Ronald and Kowall, Neil W and Kramer, Joel H and LaFerla, Frank M and Lah, James J and Leverenz, James B and Levey, Allan I and Li, Ge and Lieberman, Andrew P and Lunetta, Kathryn L and Lyketsos, Constantine G and Marson, Daniel C and Martiniuk, Frank and Mash, Deborah C and Masliah, Eliezer and McCormick, Wayne C and McCurry, Susan M and McDavid, Andrew N and McKee, Ann C and Mesulam, Marsel and Miller, Bruce L and Miller, Carol A and Miller, Joshua W and Morris, John C and Murrell, Jill R and Myers, Amanda J and O{\textquoteright}Bryant, Sid and Olichney, John M and Pankratz, Vernon S and Parisi, Joseph E and Paulson, Henry L and Perry, William and Peskind, Elaine and Pierce, Aimee and Poon, Wayne W and Potter, Huntington and Quinn, Joseph F and Raj, Ashok and Raskind, Murray and Reisberg, Barry and Reitz, Christiane and Ringman, John M and Roberson, Erik D and Rogaeva, Ekaterina and Rosen, Howard J and Rosenberg, Roger N and Sager, Mark A and Saykin, Andrew J and Schneider, Julie A and Schneider, Lon S and Seeley, William W and Smith, Amanda G and Sonnen, Joshua A and Spina, Salvatore and Stern, Robert A and Swerdlow, Russell H and Tanzi, Rudolph E and Thornton-Wells, Tricia A and Trojanowski, John Q and Troncoso, Juan C and Van Deerlin, Vivianna M and Van Eldik, Linda J and Vinters, Harry V and Vonsattel, Jean Paul and Weintraub, Sandra and Welsh-Bohmer, Kathleen A and Wilhelmsen, Kirk C and Williamson, Jennifer and Wingo, Thomas S and Woltjer, Randall L and Wright, Clinton B and Yu, Chang-En and Yu, Lei and Garzia, Fabienne and Golamaully, Feroze and Septier, Gislain and Engelborghs, Sebastien and Vandenberghe, Rik and De Deyn, Peter P and Fernadez, Carmen Mu{\~n}oz and Benito, Yoland Aladro and Thonberg, H{\r a}kan and Forsell, Charlotte and Lilius, Lena and Kinhult-St{\r a}hlbom, Anne and Kilander, Lena and Brundin, RoseMarie and Concari, Letizia and Helisalmi, Seppo and Koivisto, Anne Maria and Haapasalo, Annakaisa and Dermecourt, Vincent and Fi{\'e}vet, Nathalie and Hanon, Olivier and Dufouil, Carole and Brice, Alexis and Ritchie, Karen and Dubois, Bruno and Himali, Jayanadra J and Keene, C Dirk and Tschanz, JoAnn and Fitzpatrick, Annette L and Kukull, Walter A and Norton, Maria and Aspelund, Thor and Larson, Eric B and Munger, Ron and Rotter, Jerome I and Lipton, Richard B and Bullido, Mar{\'\i}a J and Hofman, Albert and Montine, Thomas J and Coto, Eliecer and Boerwinkle, Eric and Petersen, Ronald C and Alvarez, Victoria and Rivadeneira, Fernando and Reiman, Eric M and Gallo, Maura and O{\textquoteright}Donnell, Christopher J and Reisch, Joan S and Bruni, Amalia Cecilia and Royall, Donald R and Dichgans, Martin and Sano, Mary and Galimberti, Daniela and St George-Hyslop, Peter and Scarpini, Elio and Tsuang, Debby W and Mancuso, Michelangelo and Bonuccelli, Ubaldo and Winslow, Ashley R and Daniele, Antonio and Wu, Chuang-Kuo and Peters, Oliver and Nacmias, Benedetta and Riemenschneider, Matthias and Heun, Reinhard and Brayne, Carol and Rubinsztein, David C and Bras, Jose and Guerreiro, Rita and Al-Chalabi, Ammar and Shaw, Christopher E and Collinge, John and Mann, David and Tsolaki, Magda and Clarimon, Jordi and Sussams, Rebecca and Lovestone, Simon and O{\textquoteright}Donovan, Michael C and Owen, Michael J and Behrens, Timothy W and Mead, Simon and Goate, Alison M and Uitterlinden, Andr{\'e} G and Holmes, Clive and Cruchaga, Carlos and Ingelsson, Martin and Bennett, David A and Powell, John and Golde, Todd E and Graff, Caroline and De Jager, Philip L and Morgan, Kevin and Ertekin-Taner, Nilufer and Combarros, Onofre and Psaty, Bruce M and Passmore, Peter and Younkin, Steven G and Berr, Claudine and Gudnason, Vilmundur and Rujescu, Dan and Dickson, Dennis W and Dartigues, Jean-Fran{\c c}ois and DeStefano, Anita L and Ortega-Cubero, Sara and Hakonarson, Hakon and Campion, Dominique and Boada, Merce and Kauwe, John Keoni and Farrer, Lindsay A and Van Broeckhoven, Christine and Ikram, M Arfan and Jones, Lesley and Haines, Jonathan L and Tzourio, Christophe and Launer, Lenore J and Escott-Price, Valentina and Mayeux, Richard and Deleuze, Jean-Francois and Amin, Najaf and Holmans, Peter A and Pericak-Vance, Margaret A and Amouyel, Philippe and van Duijn, Cornelia M and Ramirez, Alfredo and Wang, Li-San and Lambert, Jean-Charles and Seshadri, Sudha and Williams, Julie and Schellenberg, Gerard D} } @article {7488, title = {Relationship of bone mineral density with valvular and annular calcification in community-dwelling older people: The Cardiovascular Health Study.}, journal = {Arch Osteoporos}, volume = {12}, year = {2017}, month = {2017 Dec}, pages = {52}, abstract = {

Associations between bone mineral density and aortic valvular, aortic annular, and mitral annular calcification were investigated in a cross-sectional analysis of a population-based cohort of 1497 older adults. Although there was no association between continuous bone mineral density and outcomes, a significant association between osteoporosis and aortic valvular calcification in men was found.

INTRODUCTION: The process of cardiac calcification bears a resemblance to skeletal bone metabolism and its regulation. Experimental studies suggest that bone mineral density (BMD) and valvular calcification may be reciprocally related, but epidemiologic data are sparse.

METHODS: We tested the hypothesis that BMD of the total hip and femoral neck measured by dual-energy X-ray absorptiometry (DXA) is inversely associated with prevalence of three echocardiographic measures of cardiac calcification in a cross-sectional analysis of 1497 older adults from the Cardiovascular Health Study. The adjusted association of BMD with aortic valve calcification (AVC), aortic annular calcification (AAC), and mitral annular calcification (MAC) was assessed with relative risk (RR) regression.

RESULTS: Mean (SD) age was 76.2 (4.8)~years; 58\% were women. Cardiac calcification was highly prevalent in women and men: AVC, 59.5 and 71.0\%; AAC 45.1 and 46.7\%; MAC 42.8 and 39.5\%, respectively. After limited and full adjustment for potential confounders, no statistically significant associations were detected between continuous BMD at either site and the three measures of calcification. Assessment of WHO BMD categories revealed a significant association between osteoporosis at the total hip and AVC in men (adjusted RR compared with normal BMD~=~1.24 (1.01-1.53)). In graded sensitivity analyses, there were apparent inverse associations between femoral neck BMD and AVC with stenosis in men, and femoral neck BMD and moderate/severe MAC in women, but these were not significant.

CONCLUSION: These findings support further investigation of the sex-specific relationships between low BMD and cardiac calcification, and whether processes linking the two could be targeted for therapeutic ends.

}, issn = {1862-3514}, doi = {10.1007/s11657-017-0347-y}, author = {Massera, Daniele and Xu, Shuo and Bartz, Traci M and Bortnick, Anna E and Ix, Joachim H and Chonchol, Michel and Owens, David S and Barasch, Eddy and Gardin, Julius M and Gottdiener, John S and Robbins, John R and Siscovick, David S and Kizer, Jorge R} } @article {7451, title = {REPEATED MEASUREMENTS OF BLOOD PRESSURE AND CHOLESTEROL IMPROVES CARDIOVASCULAR DISEASE RISK PREDICTION: AN INDIVIDUAL-PARTICIPANT-DATA META-ANALYSIS.}, journal = {Am J Epidemiol}, year = {2017}, month = {2017 May 26}, abstract = {

The added value of incorporating information from repeated measurements of blood pressure and cholesterol for cardiovascular disease (CVD) risk prediction has not been rigorously assessed. We used data from the Emerging Risk Factors Collaboration on 191,445 adults (38 cohorts from across 17 countries with data from 1962-2014) with~>~1 million measurements of systolic blood pressure, total cholesterol and high-density lipoprotein cholesterol; over a median 12 years of follow-up, 21,170 CVD events occurred. Risk prediction models using cumulative means of repeated measurements and summary measures from longitudinal modelling of the repeated measurements were compared to models using measurements from a single time point. Risk discrimination (C-index) and net reclassification were calculated, and changes in C-indices were meta-analysed across studies. Compared to the single time point model, the cumulative means and the longitudinal models increased the C-index by 0.0040 (95\% CI: 0.0023, 0.0057) and 0.0023 (0.0005, 0.0042), respectively. Reclassification was also improved in both models; compared to the single time point model, overall net reclassification improvements were 0.0369 (0.0303, 0.0436) for the cumulative means model and 0.0177 (0.0110, 0.0243) for the longitudinal model. In conclusion, incorporating repeated measurements of blood pressure and cholesterol into CVD risk prediction models slightly improves risk prediction.

}, issn = {1476-6256}, doi = {10.1093/aje/kwx149}, author = {Paige, Ellie and Barrett, Jessica and Pennells, Lisa and Sweeting, Michael and Willeit, Peter and Di Angelantonio, Emanuele and Gudnason, Vilmundur and Nordestgaard, B{\o}rge G and Psaty, Bruce M and Goldbourt, Uri and Best, Lyle G and Assmann, Gerd and Salonen, Jukka T and Nietert, Paul J and Verschuren, Wm Monique and Brunner, Eric J and Kronmal, Richard A and Salomaa, Veikko and Bakker, Stephan Jl and Dagenais, Gilles R and Sato, Shinichi and Jansson, Jan-H{\r a}kan and Willeit, Johann and Onat, Altan and de la C{\'a}mara, Agustin G{\'o}mez and Roussel, Ronan and V{\"o}lzke, Henry and Dankner, Rachel and Tipping, Robert W and Meade, Tom W and Donfrancesco, Chiara and Kuller, Lewis H and Peters, Annette and Gallacher, John and Kromhout, Daan and Iso, Hiroyasu and Knuiman, Matthew and Casiglia, Edoardo and Kavousi, Maryam and Palmieri, Luigi and Sundstr{\"o}m, Johan and Davis, Barry R and Nj{\o}lstad, Inger and Couper, David and Danesh, John and Thompson, Simon G and Wood, Angela} } @article {7336, title = {Sleep-disordered breathing is associated with higher carboxymethyllysine level in elderly women but not elderly men in the cardiovascular health study.}, journal = {Biomarkers}, volume = {22}, year = {2017}, month = {2017 May - Jun}, pages = {361-366}, abstract = {

CONTEXT: Carboxymethyl-lysine (CML) results from oxidative stress and has been linked to cardiovascular disease.

OBJECTIVE: The objective of this study is to investigate the association between sleep-disordered breathing (SDB) - a source of oxidative stress - and CML.

MATERIALS AND METHODS: About 1002 participants in the Cardiovascular Health Study (CHS) were studied.

RESULTS: Women with SDB had significantly higher CML concentration compared with those without SDB (OR = 1.63, 95\%CI = 1.03-2.58, p = 0.04). The association was not significant among men.

DISCUSSION: SDB was associated with CML concentration among elderly women but not men in the Cardiovascular Health Study.

CONCLUSION: Accumulation of CML may be an adverse health consequence of SDB.

}, issn = {1366-5804}, doi = {10.1080/1354750X.2016.1276966}, author = {Ahiawodzi, Peter D and Kerber, Richard A and Taylor, Kira C and Groves, Frank D and O{\textquoteright}Brien, Elizabeth and Ix, Joachim H and Kizer, Jorge R and Djouss{\'e}, Luc and Tracy, Russell P and Newman, Anne B and Siscovick, David S and Robbins, John and Mukamal, Kenneth} } @article {7584, title = {Trajectories of IGF-I Predict Mortality in Older Adults: The Cardiovascular Health Study.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2017}, month = {2017 Jul 23}, abstract = {

Background: Disruption of insulin-like growth factor-I (IGF-I) increases health and life span in animal models, though this is unconfirmed in humans. If IGF-I stability indicates homeostasis, the absolute level of IGF-I may be less clinically relevant than maintaining an IGF-I setpoint.

Methods: Participants were 945 U.S. community-dwelling individuals aged >=65 years enrolled in the Cardiovascular Health Study with IGF-I levels at 3-6 timepoints. We examined the association of baseline IGF-I level, trajectory slope, and variability around the trajectory with mortality.

Results: There were 633 deaths over median 11.3 years of follow-up. Lower IGF-I levels, declining or increasing slope, and increasing variability were each individually associated with higher mortality (all p < .001). In an adjusted model including all three trajectory parameters, baseline IGF-I levels <70 ng/mL (hazard ratio [HR] 1.58, 95\% CI 1.28-1.96 relative to IGF-I levels of 170 ng/mL), steep declines and steep increases in trajectory slope (HR 2.22, 1.30-3.80 for a 15\% decline; HR 1.40, 1.07-1.84 for a 10\% decline; HR 1.80, 1.12-2.89 for a 15\% increase; HR 1.31, 1.00-1.72 for a 10\% increase, each vs no change), and variability >=10\% (HR 1.59, 1.09-2.32 for >= 30\%; HR 1.36, 1.06-1.75 for 20\%; and HR 1.17, 1.03-1.32 for 10\% variability, each vs 0\%) in IGF-I levels were independently associated with mortality.

Conclusions: In contrast to data from animal models, low IGF-I levels are associated with higher mortality in older humans. Irrespective of the actual IGF-I level, older individuals with stability of IGF-I levels have lower mortality than those whose IGF-I levels fluctuate over time.

}, issn = {1758-535X}, doi = {10.1093/gerona/glx143}, author = {Sanders, Jason L and Guo, Wensheng and O{\textquoteright}Meara, Ellen S and Kaplan, Robert C and Pollak, Michael N and Bartz, Traci M and Newman, Anne B and Fried, Linda P and Cappola, Anne R} } @article {7554, title = {Trends in the incidence of dementia: design and methods in the Alzheimer Cohorts Consortium.}, journal = {Eur J Epidemiol}, volume = {32}, year = {2017}, month = {2017 Oct}, pages = {931-938}, abstract = {

Several studies have reported a decline in incidence of dementia which may have large implications for the projected burden of disease, and provide important guidance to preventive efforts. However, reports are conflicting or inconclusive with regard to the impact of gender and education with underlying causes of a presumed declining trend remaining largely unidentified. The Alzheimer Cohorts Consortium aggregates data from nine international population-based cohorts to determine changes in the incidence of dementia since 1990. We will employ Poisson regression models to calculate incidence rates in each cohort and Cox proportional hazard regression to compare 5-year cumulative hazards across study-specific epochs. Finally, we will meta-analyse changes per decade across cohorts, and repeat all analysis stratified by sex, education and APOE genotype. In all cohorts combined, there are data on almost 69,000 people at risk of dementia with the range of follow-up years between 2 and 27. The average age at baseline is similar across cohorts ranging between 72 and 77. Uniting a wide range of disease-specific and methodological expertise in research teams, the first analyses within the Alzheimer Cohorts Consortium are underway to tackle outstanding challenges in the assessment of time-trends in dementia occurrence.

}, issn = {1573-7284}, doi = {10.1007/s10654-017-0320-5}, author = {Chibnik, Lori B and Wolters, Frank J and B{\"a}ckman, Kristoffer and Beiser, Alexa and Berr, Claudine and Bis, Joshua C and Boerwinkle, Eric and Bos, Daniel and Brayne, Carol and Dartigues, Jean-Fran{\c c}ois and Darweesh, Sirwan K L and Debette, Stephanie and Davis-Plourde, Kendra L and Dufouil, Carole and Fornage, Myriam and Grasset, Leslie and Gudnason, Vilmundur and Hadjichrysanthou, Christoforos and Helmer, Catherine and Ikram, M Arfan and Ikram, M Kamran and Kern, Silke and Kuller, Lewis H and Launer, Lenore and Lopez, Oscar L and Matthews, Fiona and Meirelles, Osorio and Mosley, Thomas and Ower, Alison and Psaty, Bruce M and Satizabal, Claudia L and Seshadri, Sudha and Skoog, Ingmar and Stephan, Blossom C M and Tzourio, Christophe and Waziry, Reem and Wong, Mei Mei and Zettergren, Anna and Hofman, Albert} } @article {8572, title = {Visit-to-Visit Blood Pressure Variability and Mortality and Cardiovascular Outcomes Among Older Adults: The Health, Aging, and Body Composition Study.}, journal = {Am J Hypertens}, volume = {30}, year = {2017}, month = {2017 Feb}, pages = {151-158}, abstract = {

BACKGROUND: Level of blood pressure (BP) is strongly associated with cardiovascular (CV) events and mortality. However, it is questionable whether mean BP can fully capture BP-related vascular risk. Increasing attention has been given to the value of visit-to-visit BP variability.

METHODS: We examined the association of visit-to-visit BP variability with mortality, incident myocardial infarction (MI), and incident stroke among 1,877 well-functioning elders in the Health, Aging, and Body Composition Study. We defined visit-to-visit diastolic BP (DBP) and systolic BP (SBP) variability as the root-mean-square error of person-specific linear regression of BP as a function of time. Alternatively, we counted the number of considerable BP increases and decreases (separately; 10mm Hg for DBP and 20mm Hg for SBP) between consecutive visits for each individual.

RESULTS: Over an average follow-up of 8.5 years, 623 deaths (207 from CV disease), 153 MIs, and 156 strokes occurred. The median visit-to-visit DBP and SBP variability was 4.96 mmHg and 8.53 mmHg, respectively. After multivariable adjustment, visit-to-visit DBP variability was related to higher all-cause (hazard ratio (HR) = 1.18 per 1 SD, 95\% confidence interval (CI) = 1.01-1.37) and CV mortality (HR = 1.35, 95\% CI = 1.05-1.73). Additionally, individuals having more considerable decreases of DBP (>=10mm Hg between 2 consecutive visits) had higher risk of all-cause (HR = 1.13, 95\% CI = 0.99-1.28) and CV mortality (HR = 1.30, 95\% CI = 1.05-1.61); considerable increases of SBP (>=20mm Hg) were associated with higher risk of all-cause (HR = 1.18, 95\% CI = 1.03-1.36) and CV mortality (HR = 1.37, 95\% CI = 1.08-1.74).

CONCLUSIONS: Visit-to-visit DBP variability and considerable changes in DBP and SBP were risk factors for mortality in the elderly.

}, keywords = {Aged, Aging, Blood Pressure, Blood Pressure Determination, Body Composition, California, Cohort Studies, Female, Health Status, Humans, Hypertension, Incidence, Longitudinal Studies, Male, Myocardial Infarction, Office Visits, Prognosis, Retrospective Studies, Risk Factors, Stroke, Survival Rate}, issn = {1941-7225}, doi = {10.1093/ajh/hpw106}, author = {Wu, Chenkai and Shlipak, Michael G and Stawski, Robert S and Peralta, Carmen A and Psaty, Bruce M and Harris, Tamara B and Satterfield, Suzanne and Shiroma, Eric J and Newman, Anne B and Odden, Michelle C} } @article {7929, title = {Assessment of the genetic and clinical determinants of fracture risk: genome wide association and mendelian randomisation study.}, journal = {BMJ}, volume = {362}, year = {2018}, month = {2018 08 29}, pages = {k3225}, abstract = {

OBJECTIVES: To identify the genetic determinants of fracture risk and assess the role of 15 clinical risk factors on osteoporotic fracture risk.

DESIGN: Meta-analysis of genome wide association studies (GWAS) and a two-sample mendelian randomisation approach.

SETTING: 25 cohorts from Europe, United States, east Asia, and Australia with genome wide genotyping and fracture data.

PARTICIPANTS: A discovery set of 37 857 fracture cases and 227 116 controls; with replication in up to 147 200 fracture cases and 150 085 controls. Fracture cases were defined as individuals (>18 years old) who had fractures at any skeletal site confirmed by medical, radiological, or questionnaire reports. Instrumental variable analyses were performed to estimate effects of 15 selected clinical risk factors for fracture in a two-sample mendelian randomisation framework, using the largest previously published GWAS meta-analysis of each risk factor.

RESULTS: Of 15 fracture associated loci identified, all were also associated with bone mineral density and mapped to genes clustering in pathways known to be critical to bone biology (eg, , , and ) or novel pathways (, , and ). Mendelian randomisation analyses showed a clear effect of bone mineral density on fracture risk. One standard deviation decrease in genetically determined bone mineral density of the femoral neck was associated with a 55\% increase in fracture risk (odds ratio 1.55 (95\% confidence interval 1.48 to 1.63; P=1.5{\texttimes}10). Hand grip strength was inversely associated with fracture risk, but this result was not significant after multiple testing correction. The remaining clinical risk factors (including vitamin D levels) showed no evidence for an effect on fracture.

CONCLUSIONS: This large scale GWAS meta-analysis for fracture identified 15 genetic determinants of fracture, all of which also influenced bone mineral density. Among the clinical risk factors for fracture assessed, only bone mineral density showed a major causal effect on fracture. Genetic predisposition to lower levels of vitamin D and estimated calcium intake from dairy sources were not associated with fracture risk.

}, issn = {1756-1833}, doi = {10.1136/bmj.k3225}, author = {Trajanoska, Katerina and Morris, John A and Oei, Ling and Zheng, Hou-Feng and Evans, David M and Kiel, Douglas P and Ohlsson, Claes and Richards, J Brent and Rivadeneira, Fernando} } @article {7674, title = {Association of Frailty with Recovery from Disability among Community-Dwelling Older Adults: Results from Two Large U.S. Cohorts.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2018}, month = {2018 Apr 10}, abstract = {

Background: Disability in activities of daily living (ADLs) is a dynamic process and transitions among different disability states are common. However, little is known about factors affecting recovery from disability. We examined the association between frailty and recovery from disability among non-disabled community-dwelling elders.

Methods: We studied 1023 adults from the Cardiovascular Health Study (CHS) and 685 adults from the Health and Retirement Study (HRS), who were >=65 years and had incident disability, defined as having difficulty in >=1 ADL (dressing, eating, toileting, bathing, transferring, walking across a room). Disability recovery was defined as having no difficulty in any ADLs. Frailty was assessed by slowness, weakness, exhaustion, inactivity, and shrinking. Persons were classified as "non-frail" (0 criteria), "prefrail" (1-2 criteria), or "frail" (3-5 criteria).

Results: In total, 539 (52.7\%) CHS participants recovered from disability within one year. Almost two-thirds of non-frail persons recovered, while less than two-fifths of the frail recovered. In the HRS, 234 (34.2\%) participants recovered from disability within two years. Approximately half of the non-frail recovered, while less than one-fifth of the frail recovered. After adjustment, prefrail and frail CHS participants were 16\% and 36\% less likely to recover than the non-frail, respectively. In the HRS, frail persons had a 41\% lower likelihood of recovery than the non-frail.

Conclusions: Frailty is an independent predictor of poor recovery from disability among non-disabled older adults. These findings validate frailty as a marker of decreased resilience and may offer opportunities for individualized interventions and geriatric care based on frailty assessment.

}, issn = {1758-535X}, doi = {10.1093/gerona/gly080}, author = {Wu, Chenkai and Kim, Dae H and Xue, Qian-Li and Lee, David S H and Varadhan, Ravi and Odden, Michelle C} } @article {7581, title = {Associations of activated coagulation factor VII and factor VIIa-antithrombin levels with genome-wide polymorphisms and cardiovascular disease risk.}, journal = {J Thromb Haemost}, volume = {16}, year = {2018}, month = {2018 Jan}, pages = {19-30}, abstract = {

ESSENTIALS: Essentials A fraction of coagulation factor VII circulates in blood as an activated protease (FVIIa). We evaluated FVIIa and FVIIa-antithrombin (FVIIa-AT) levels in the Cardiovascular Health Study. Polymorphisms in the F7 and PROCR loci were associated with FVIIa and FVIIa-AT levels. FVIIa may be an ischemic stroke risk factor in older adults and FVIIa-AT may assess mortality risk.

SUMMARY: Background A fraction of coagulation factor (F) VII circulates as an active protease (FVIIa). FVIIa also circulates as an inactivated complex with antithrombin (FVIIa-AT). Objective Evaluate associations of FVIIa and FVIIa-AT with genome-wide single nucleotide polymorphisms (SNPs) and incident coronary heart disease, ischemic stroke and mortality. Patients/Methods We measured FVIIa and FVIIa-AT in 3486 Cardiovascular Health Study (CHS) participants. We performed a genome-wide association scan for FVIIa and FVIIa-AT in European-Americans (n~=~2410) and examined associations of FVII phenotypes with incident cardiovascular disease. Results In European-Americans, the most significant SNP for FVIIa and FVIIa-AT was rs1755685 in the F7 promoter region on chromosome 13 (FVIIa, β~=~-25.9~mU~mL-1 per minor allele; FVIIa-AT, β~=~-26.6~pm per minor allele). Phenotypes were also associated with rs867186 located in PROCR on chromosome 20 (FVIIa, β~=~7.8~mU~mL-1 per minor allele; FVIIa-AT, β~=~9.9 per minor allele). Adjusted for risk factors, a one standard deviation higher FVIIa was associated with increased risk of ischemic stroke (hazard ratio [HR],~1.12; 95\% confidence interval [CI], 1.01, 1.23). Higher FVIIa-AT was associated with mortality from all causes (HR, 1.08; 95\% CI, 1.03, 1.12). Among European-American CHS participants the rs1755685 minor allele was associated with lower ischemic stroke (HR, 0.69; 95\% CI, 0.54, 0.88), but this association was not replicated in a larger multi-cohort analysis. Conclusions The results support the importance of the F7 and PROCR loci in variation in circulating FVIIa and FVIIa-AT. The findings suggest FVIIa is a risk factor for ischemic stroke in older adults, whereas higher FVIIa-AT may reflect mortality risk.

}, issn = {1538-7836}, doi = {10.1111/jth.13899}, author = {Olson, N C and Raffield, L M and Lange, L A and Lange, E M and Longstreth, W T and Chauhan, G and Debette, S and Seshadri, S and Reiner, A P and Tracy, R P} } @article {7682, title = {Atrial Cardiopathy and the Risk of Ischemic Stroke in the CHS (Cardiovascular Health Study).}, journal = {Stroke}, volume = {49}, year = {2018}, month = {2018 Apr}, pages = {980-986}, abstract = {

BACKGROUND AND PURPOSE: Emerging evidence suggests that an underlying atrial cardiopathy may result in thromboembolism before atrial fibrillation (AF) develops. We examined the association between various markers of atrial cardiopathy and the risk of ischemic stroke.

METHODS: The CHS (Cardiovascular Health Study) prospectively enrolled community-dwelling adults >=65 years of age. For this study, we excluded participants diagnosed with stroke or AF before baseline. Exposures were several markers of atrial cardiopathy: baseline P-wave terminal force in ECG lead V, left atrial dimension on echocardiogram, and N terminal pro B type natriuretic peptide (NT-proBNP), as well as incident AF. Incident AF was ascertained from 12-lead electrocardiograms at annual study visits for the first decade after study enrollment and from inpatient and outpatient Medicare data throughout follow-up. The primary outcome was incident ischemic stroke. We used Cox proportional hazards models that included all 4 atrial cardiopathy markers along with adjustment for demographic characteristics and established vascular risk factors.

RESULTS: Among 3723 participants who were free of stroke and AF at baseline and who had data on all atrial cardiopathy markers, 585 participants (15.7\%) experienced an incident ischemic stroke during a median 12.9 years of follow-up. When all atrial cardiopathy markers were combined in 1 Cox model, we found significant associations with stroke for P-wave terminal force in ECG lead V (hazard ratio per 1000 μV*ms 1.04; 95\% confidence interval, 1.001-1.08), log-transformed NT-proBNP (hazard ratio per doubling of NT-proBNP, 1.09; 95\% confidence interval, 1.03-1.16), and incident AF (hazard ratio, 2.04; 95\% confidence interval, 1.67-2.48) but not left atrial dimension (hazard ratio per cm, 0.96; 95\% confidence interval, 0.84-1.10).

CONCLUSIONS: In addition to clinically apparent AF, other evidence of abnormal atrial substrate is associated with subsequent ischemic stroke. This finding is consistent with the hypothesis that thromboembolism from the left atrium may occur in the setting of several different manifestations of atrial disease.

}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.117.020059}, author = {Kamel, Hooman and Bartz, Traci M and Elkind, Mitchell S V and Okin, Peter M and Thacker, Evan L and Patton, Kristen K and Stein, Phyllis K and deFilippi, Christopher R and Gottesman, Rebecca F and Heckbert, Susan R and Kronmal, Richard A and Soliman, Elsayed Z and Longstreth, W T} } @article {7802, title = {Common Coding Variants in Are Associated With the Nav1.8 Late Current and Cardiac Conduction.}, journal = {Circ Genom Precis Med}, volume = {11}, year = {2018}, month = {2018 May}, pages = {e001663}, abstract = {

BACKGROUND: Genetic variants at the / locus are strongly associated with electrocardiographic PR and QRS intervals. While is the canonical cardiac sodium channel gene, the role of in cardiac conduction is less well characterized.

METHODS: We sequenced the locus in 3699 European-ancestry individuals to identify variants associated with cardiac conduction, and replicated our findings in 21,000 individuals of European ancestry. We examined association with expression in human atrial tissue. We explored the biophysical effect of variation on channel function using cellular electrophysiology.

RESULTS: We identified 2 intronic single nucleotide polymorphisms in high linkage disequilibrium ( =0.86) with each other to be the strongest signals for PR (rs10428132, β=-4.74, =1.52{\texttimes}10) and QRS intervals (rs6599251, QRS β=-0.73; =1.2{\texttimes}10), respectively. Although these variants were not associated with or expression in human atrial tissue (n=490), they were in high linkage disequilibrium ( >=0.72) with a common missense variant, rs6795970 (V1073A). In total, we identified 7 missense variants, 4 of which (I962V, P1045T, V1073A, and L1092P) were associated with cardiac conduction. These 4 missense variants cluster in the cytoplasmic linker of the second and third domains of the SCN10A protein and together form 6 common haplotypes. Using cellular electrophysiology, we found that haplotypes associated with shorter PR intervals had a significantly larger percentage of late current compared with wild-type (I962V+V1073A+L1092P, 20.2{\textpm}3.3\%, =0.03, and I962V+V1073A, 22.4{\textpm}0.8\%, =0.0004 versus wild-type 11.7{\textpm}1.6\%), and the haplotype associated with the longest PR interval had a significantly smaller late current percentage (P1045T, 6.4{\textpm}1.2\%, =0.03).

CONCLUSIONS: Our findings suggest an association between genetic variation in , the late sodium current, and alterations in cardiac conduction.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.116.001663}, author = {Macri, Vincenzo and Brody, Jennifer A and Arking, Dan E and Hucker, William J and Yin, Xiaoyan and Lin, Honghuang and Mills, Robert W and Sinner, Moritz F and Lubitz, Steven A and Liu, Ching-Ti and Morrison, Alanna C and Alonso, Alvaro and Li, Ning and Fedorov, Vadim V and Janssen, Paul M and Bis, Joshua C and Heckbert, Susan R and Dolmatova, Elena V and Lumley, Thomas and Sitlani, Colleen M and Cupples, L Adrienne and Pulit, Sara L and Newton-Cheh, Christopher and Barnard, John and Smith, Jonathan D and Van Wagoner, David R and Chung, Mina K and Vlahakes, Gus J and O{\textquoteright}Donnell, Christopher J and Rotter, Jerome I and Margulies, Kenneth B and Morley, Michael P and Cappola, Thomas P and Benjamin, Emelia J and Muzny, Donna and Gibbs, Richard A and Jackson, Rebecca D and Magnani, Jared W and Herndon, Caroline N and Rich, Stephen S and Psaty, Bruce M and Milan, David J and Boerwinkle, Eric and Mohler, Peter J and Sotoodehnia, Nona and Ellinor, Patrick T} } @article {7778, title = {A comprehensive evaluation of the genetic architecture of sudden cardiac arrest.}, journal = {Eur Heart J}, year = {2018}, month = {2018 Aug 28}, abstract = {

Aims: Sudden cardiac arrest (SCA) accounts for 10\% of adult mortality in Western populations. We aim to identify potential loci associated with SCA and to identify risk factors causally associated with SCA.

Methods and results: We carried out a large genome-wide association study (GWAS) for SCA (n = 3939 cases, 25~989 non-cases) to examine common variation genome-wide and in candidate arrhythmia genes. We also exploited Mendelian randomization (MR) methods using cross-trait multi-variant genetic risk score associations (GRSA) to assess causal relationships of 18 risk factors with SCA. No variants were associated with SCA at genome-wide significance, nor were common variants in candidate arrhythmia genes associated with SCA at nominal significance. Using cross-trait GRSA, we established genetic correlation between SCA and (i) coronary artery disease (CAD) and traditional CAD risk factors (blood pressure, lipids, and diabetes), (ii) height and BMI, and (iii) electrical instability traits (QT and atrial fibrillation), suggesting aetiologic roles for these traits in SCA risk.

Conclusions: Our findings show that a comprehensive approach to the genetic architecture of SCA can shed light on the determinants of a complex life-threatening condition with multiple influencing factors in the general population. The results of this genetic analysis, both positive and negative findings, have implications for evaluating the genetic architecture of patients with a family history of SCA, and for efforts to prevent SCA in high-risk populations and the general community.

}, issn = {1522-9645}, doi = {10.1093/eurheartj/ehy474}, author = {Ashar, Foram N and Mitchell, Rebecca N and Albert, Christine M and Newton-Cheh, Christopher and Brody, Jennifer A and M{\"u}ller-Nurasyid, Martina and Moes, Anna and Meitinger, Thomas and Mak, Angel and Huikuri, Heikki and Junttila, M Juhani and Goyette, Philippe and Pulit, Sara L and Pazoki, Raha and Tanck, Michael W and Blom, Marieke T and Zhao, XiaoQing and Havulinna, Aki S and Jabbari, Reza and Glinge, Charlotte and Tragante, Vinicius and Escher, Stefan A and Chakravarti, Aravinda and Ehret, Georg and Coresh, Josef and Li, Man and Prineas, Ronald J and Franco, Oscar H and Kwok, Pui-Yan and Lumley, Thomas and Dumas, Florence and McKnight, Barbara and Rotter, Jerome I and Lemaitre, Rozenn N and Heckbert, Susan R and O{\textquoteright}Donnell, Christopher J and Hwang, Shih-Jen and Tardif, Jean-Claude and VanDenburgh, Martin and Uitterlinden, Andr{\'e} G and Hofman, Albert and Stricker, Bruno H C and de Bakker, Paul I W and Franks, Paul W and Jansson, Jan-H{\r a}kan and Asselbergs, Folkert W and Halushka, Marc K and Maleszewski, Joseph J and Tfelt-Hansen, Jacob and Engstr{\o}m, Thomas and Salomaa, Veikko and Virmani, Renu and Kolodgie, Frank and Wilde, Arthur A M and Tan, Hanno L and Bezzina, Connie R and Eijgelsheim, Mark and Rioux, John D and Jouven, Xavier and K{\"a}{\"a}b, Stefan and Psaty, Bruce M and Siscovick, David S and Arking, Dan E and Sotoodehnia, Nona} } @article {8536, title = {{Dairy Consumption and Body Mass Index Among Adults: Mendelian Randomization Analysis of 184802 Individuals from 25 Studies}, journal = {Clin Chem}, volume = {64}, year = {2018}, month = {01}, pages = {183{\textendash}191}, abstract = {Associations between dairy intake and body mass index (BMI) have been inconsistently observed in epidemiological studies, and the causal relationship remains ill defined.\ We performed Mendelian randomization (MR) analysis using an established dairy intake-associated genetic polymorphism located upstream of the lactase gene (LCT-13910 C/T, rs4988235) as an instrumental variable (IV). Linear regression models were fitted to analyze associations between (a) dairy intake and BMI, (b) rs4988235 and dairy intake, and (c) rs4988235 and BMI in each study. The causal effect of dairy intake on BMI was quantified by IV estimators among 184802 participants from 25 studies.\ Higher dairy intake was associated with higher BMI ({\^I}{\texttwosuperior} = 0.03 kg/m2 per serving/day; 95\% CI, 0.00-0.06; P = 0.04), whereas the LCT genotype with 1 or 2 T allele was significantly associated with 0.20 (95\% CI, 0.14-0.25) serving/day higher dairy intake (P = 3.15 {\~A}{\textemdash} 10-12) and 0.12 (95\% CI, 0.06-0.17) kg/m2 higher BMI (P = 2.11 {\~A}{\textemdash} 10-5). MR analysis showed that the genetically determined higher dairy intake was significantly associated with higher BMI ({\^I}{\texttwosuperior} = 0.60 kg/m2 per serving/day; 95\% CI, 0.27-0.92; P = 3.0 {\~A}{\textemdash} 10-4).\ The present study provides strong evidence to support a causal effect of higher dairy intake on increased BMI among adults.}, author = {Huang, T. and Ding, M. and Bergholdt, H. K. M. and Wang, T. and Heianza, Y. and Sun, D. and Frazier-Wood, A. C. and Aslibekyan, S. and North, K. E. and Voortman, T. and Graff, M. and Smith, C. E. and Lai, C. Q. and Varbo, A. and Lemaitre, R. N. and de Jonge, M. E. A. L. and Fumeron, F. and Corella, D. and Wang, C. A. and Tj?nneland, A. and Overvad, K. and S?rensen, T. I. A. and Feitosa, M. F. and Wojczynski, M. K. and K?h?nen, M. and Renstr?m, F. and Psaty, B. M. and Siscovick, D. S. and Barroso, I. and Johansson, I. and Hernandez, D. and Ferrucci, L. and Bandinelli, S. and Linneberg, A. and Zillikens, M. C. and Sandholt, C. H. and Pedersen, O. and Hansen, T. and Schulz, C. A. and Sonestedt, E. and Orho-Melander, M. and Chen, T. A. and Rotter, J. I. and Allison, M. A. and Rich, S. S. and Sorl?, J. V. and Coltell, O. and Pennell, C. E. and Eastwood, P. and Hofman, A. and Uitterlinden, A. G. and van Rooij, F. J. A. and Chu, A. Y. and Rose, L. M. and Ridker, P. M. and Viikari, J. and Raitakari, O. and Lehtim?ki, T. and Mikkil?, V. and Willett, W. C. and Wang, Y. and Tucker, K. L. and Ordovas, J. M. and Kilpel?inen, T. O. and Province, M. A. and Franks, P. W. and Arnett, D. K. and Tanaka, T. and Toft, U. and Ericson, U. and Franco, O. H. and Mozaffarian, D. and Hu, F. B. and Chasman, D. I. and Nordestgaard, B. G. and Ellervik, C. and Qi, L.} } @article {7662, title = {Development, Construct Validity, and Predictive Validity of a Continuous Frailty Scale: Results from Two Large U.S. Cohorts.}, journal = {Am J Epidemiol}, year = {2018}, month = {2018 Apr 24}, abstract = {

Frailty is an age-related clinical syndrome of decreased resilience to stressors. Among numerous assessments of frailty, the frailty phenotype (FP) scale, proposed by Fried and colleagues has been the most widely used one. We aimed to develop a continuous frailty scale that may overcome limitations facing the categorical FP scale and to evaluate its construct validity, predictive validity, and measurement properties. Data were from the Cardiovascular Health Study (N~=~4243) and Health and Retirement Study (N~=~7600). Frailty was conceptualized as a continuous construct, measured by five measures used in FP scale: gait speed, grip strength, exhaustion, physical activity, and weight loss. We used confirmatory factor analysis to investigate the relationship between five indicators and the latent frailty construct. We examined the association of the continuous frailty scale with mortality and disability. The unidimensional model fit the data satisfactorily; similar factor structure was observed across two cohorts. Gait speed and weight loss were the strongest and weakest indicators, respectively; grip strength, exhaustion, and physical activity had similar strength in measuring frailty. In each cohort, the continuous frailty scale was strongly associated with mortality and disability and persisted to be associated with outcomes among robust and prefrail persons classified by the FP scale.

}, issn = {1476-6256}, doi = {10.1093/aje/kwy041}, author = {Wu, Chenkai and Geldhof, G John and Xue, Qian-Li and Kim, Dae H and Newman, Anne B and Odden, Michelle C} } @article {7816, title = {DNA methylation age is associated with an altered hemostatic profile in a multi-ethnic meta-analysis.}, journal = {Blood}, year = {2018}, month = {2018 Jul 24}, abstract = {

Many hemostatic factors are associated with age and age-related diseases, however much remains unknown about the biological mechanisms linking aging and hemostatic factors. DNA methylation is a novel means by which to assess epigenetic aging, which is a measure of age and the aging processes as determined by altered epigenetic states. We used a meta-analysis approach to examine the association between measures of epigenetic aging and hemostatic factors, as well as a clotting time measure. For fibrinogen, we used European and African-ancestry participants who were meta-analyzed separately and combined via a random effects meta-analysis. All other measures only included participants of European-ancestry. We found that 1-year higher extrinsic epigenetic age as compared to chronological age was associated with higher fibrinogen (0.004 g/L per year; 95\% CI: 0.001, 0.007; P = 0.01) and plasminogen activator inhibitor 1 (PAI-1; 0.13 U/mL per year; 95\% CI: 0.07, 0.20; P = 6.6x10-5) concentrations as well as lower activated partial thromboplastin time, a measure of clotting time. We replicated PAI-1 associations using an independent cohort. To further elucidate potential functional mechanisms we associated epigenetic aging with expression levels of the PAI-1 protein encoding gene (SERPINE1) and the three fibrinogen subunit-encoding genes (FGA, FGG, and FGB), in both peripheral blood and aorta intima-media samples. We observed associations between accelerated epigenetic aging and transcription of FGG in both tissues. Collectively, our results indicate that accelerated epigenetic aging is associated with a pro-coagulation hemostatic profile, and that epigenetic aging may regulate hemostasis in part via gene transcription.

}, issn = {1528-0020}, doi = {10.1182/blood-2018-02-831347}, author = {Ward-Caviness, Cavin K and Huffman, Jennifer E and Evertt, Karl and Germain, Marine and van Dongen, Jenny and Hill, W David and Jhun, Min A and Brody, Jennifer A and Ghanbari, Mohsen and Du, Lei and Roetker, Nicholas S and de Vries, Paul S and Waldenberger, Melanie and Gieger, Christian and Wolf, Petra and Prokisch, Holger and Koenig, Wolfgang and O{\textquoteright}Donnell, Christopher J and Levy, Daniel and Liu, Chunyu and Truong, Vinh and Wells, Philip S and Tr{\'e}gou{\"e}t, David-Alexandre and Tang, Weihong and Morrison, Alanna C and Boerwinkle, Eric and Wiggins, Kerri L and McKnight, Barbara and Guo, Xiuqing and Psaty, Bruce M and Sotoodenia, Nona and Boomsa, Dorret I and Willemsen, Gonneke and Ligthart, Lannie and Deary, Ian J and Zhao, Wei and Ware, Erin B and Kardia, Sharon L R and van Meurs, Joyce B J and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Eriksson, Per and Franco-Cereceda, Anders and Pankow, James S and Johnson, Andrew D and Gagnon, France and Morange, Pierre-Emmanuel and de Geus, Eco J C and Starr, John M and Smith, Jennifer A and Dehghan, Abbas and Bj{\"o}rck, Hanna M and Smith, Nicholas L and Peters, Annette} } @article {7923, title = {Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies.}, journal = {Eur Heart J}, year = {2018}, month = {2018 Nov 22}, abstract = {

Aims: There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after {\textquoteright}recalibration{\textquoteright}, a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied.

Methods and results: Using individual-participant data on 360 737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at {\textquoteright}high{\textquoteright} 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE over-predicted CVD risk on average by 10\%, 52\%, and 41\%, respectively, whereas RRS under-predicted by 10\%. Original versions of algorithms classified 29-39\% of individuals aged >=40 years as high risk. By contrast, recalibration reduced this proportion to 22-24\% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44-51 such individuals using original algorithms, in contrast to 37-39 individuals with recalibrated algorithms.

Conclusion: Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need.

}, issn = {1522-9645}, doi = {10.1093/eurheartj/ehy653}, author = {Pennells, Lisa and Kaptoge, Stephen and Wood, Angela and Sweeting, Mike and Zhao, Xiaohui and White, Ian and Burgess, Stephen and Willeit, Peter and Bolton, Thomas and Moons, Karel G M and van der Schouw, Yvonne T and Selmer, Randi and Khaw, Kay-Tee and Gudnason, Vilmundur and Assmann, Gerd and Amouyel, Philippe and Salomaa, Veikko and Kivimaki, Mika and Nordestgaard, B{\o}rge G and Blaha, Michael J and Kuller, Lewis H and Brenner, Hermann and Gillum, Richard F and Meisinger, Christa and Ford, Ian and Knuiman, Matthew W and Rosengren, Annika and Lawlor, Debbie A and V{\"o}lzke, Henry and Cooper, Cyrus and Mar{\'\i}n Iba{\~n}ez, Alejandro and Casiglia, Edoardo and Kauhanen, Jussi and Cooper, Jackie A and Rodriguez, Beatriz and Sundstr{\"o}m, Johan and Barrett-Connor, Elizabeth and Dankner, Rachel and Nietert, Paul J and Davidson, Karina W and Wallace, Robert B and Blazer, Dan G and Bj{\"o}rkelund, Cecilia and Donfrancesco, Chiara and Krumholz, Harlan M and Nissinen, Aulikki and Davis, Barry R and Coady, Sean and Whincup, Peter H and J{\o}rgensen, Torben and Ducimetiere, Pierre and Trevisan, Maurizio and Engstr{\"o}m, Gunnar and Crespo, Carlos J and Meade, Tom W and Visser, Marjolein and Kromhout, Daan and Kiechl, Stefan and Daimon, Makoto and Price, Jackie F and G{\'o}mez de la C{\'a}mara, Agustin and Wouter Jukema, J and Lamarche, Beno{\^\i}t and Onat, Altan and Simons, Leon A and Kavousi, Maryam and Ben-Shlomo, Yoav and Gallacher, John and Dekker, Jacqueline M and Arima, Hisatomi and Shara, Nawar and Tipping, Robert W and Roussel, Ronan and Brunner, Eric J and Koenig, Wolfgang and Sakurai, Masaru and Pavlovic, Jelena and Gansevoort, Ron T and Nagel, Dorothea and Goldbourt, Uri and Barr, Elizabeth L M and Palmieri, Luigi and Nj{\o}lstad, Inger and Sato, Shinichi and Monique Verschuren, W M and Varghese, Cherian V and Graham, Ian and Onuma, Oyere and Greenland, Philip and Woodward, Mark and Ezzati, Majid and Psaty, Bruce M and Sattar, Naveed and Jackson, Rod and Ridker, Paul M and Cook, Nancy R and D{\textquoteright}Agostino, Ralph B and Thompson, Simon G and Danesh, John and Di Angelantonio, Emanuele} } @article {7809, title = {Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6.}, journal = {Genome Biol}, volume = {19}, year = {2018}, month = {2018 07 17}, pages = {87}, abstract = {

BACKGROUND: Genome-wide association studies conducted on QRS duration, an electrocardiographic measurement associated with heart failure and sudden cardiac death, have led to novel biological insights into cardiac function. However, the variants identified fall predominantly in non-coding regions and their underlying mechanisms remain unclear.

RESULTS: Here, we identify putative functional coding variation associated with changes in the QRS interval duration by combining Illumina HumanExome BeadChip genotype data from 77,898 participants of European ancestry and 7695 of African descent in our discovery cohort, followed by replication in 111,874~individuals of European ancestry from the UK Biobank and deCODE cohorts. We identify ten novel loci, seven within coding regions, including ADAMTS6, significantly associated with QRS duration in gene-based analyses. ADAMTS6 encodes a secreted metalloprotease of currently unknown function. In vitro validation analysis shows that the QRS-associated variants lead to impaired ADAMTS6 secretion and loss-of function analysis in mice demonstrates a previously unappreciated role for ADAMTS6 in connexin 43 gap junction expression, which is essential for myocardial conduction.

CONCLUSIONS: Our approach identifies novel coding and non-coding variants underlying ventricular depolarization and provides a possible mechanism for the ADAMTS6-associated conduction changes.

}, issn = {1474-760X}, doi = {10.1186/s13059-018-1457-6}, author = {Prins, Bram P and Mead, Timothy J and Brody, Jennifer A and Sveinbjornsson, Gardar and Ntalla, Ioanna and Bihlmeyer, Nathan A and van den Berg, Marten and Bork-Jensen, Jette and Cappellani, Stefania and Van Duijvenboden, Stefan and Klena, Nikolai T and Gabriel, George C and Liu, Xiaoqin and Gulec, Cagri and Grarup, Niels and Haessler, Jeffrey and Hall, Leanne M and Iorio, Annamaria and Isaacs, Aaron and Li-Gao, Ruifang and Lin, Honghuang and Liu, Ching-Ti and Lyytik{\"a}inen, Leo-Pekka and Marten, Jonathan and Mei, Hao and M{\"u}ller-Nurasyid, Martina and Orini, Michele and Padmanabhan, Sandosh and Radmanesh, Farid and Ramirez, Julia and Robino, Antonietta and Schwartz, Molly and van Setten, Jessica and Smith, Albert V and Verweij, Niek and Warren, Helen R and Weiss, Stefan and Alonso, Alvaro and Arnar, David O and Bots, Michiel L and de Boer, Rudolf A and Dominiczak, Anna F and Eijgelsheim, Mark and Ellinor, Patrick T and Guo, Xiuqing and Felix, Stephan B and Harris, Tamara B and Hayward, Caroline and Heckbert, Susan R and Huang, Paul L and Jukema, J W and K{\"a}h{\"o}nen, Mika and Kors, Jan A and Lambiase, Pier D and Launer, Lenore J and Li, Man and Linneberg, Allan and Nelson, Christopher P and Pedersen, Oluf and Perez, Marco and Peters, Annette and Polasek, Ozren and Psaty, Bruce M and Raitakari, Olli T and Rice, Kenneth M and Rotter, Jerome I and Sinner, Moritz F and Soliman, Elsayed Z and Spector, Tim D and Strauch, Konstantin and Thorsteinsdottir, Unnur and Tinker, Andrew and Trompet, Stella and Uitterlinden, Andre and Vaartjes, Ilonca and van der Meer, Peter and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Waldenberger, Melanie and Wilson, James G and Xie, Zhijun and Asselbergs, Folkert W and D{\"o}rr, Marcus and van Duijn, Cornelia M and Gasparini, Paolo and Gudbjartsson, Daniel F and Gudnason, Vilmundur and Hansen, Torben and K{\"a}{\"a}b, Stefan and Kanters, J{\o}rgen K and Kooperberg, Charles and Lehtim{\"a}ki, Terho and Lin, Henry J and Lubitz, Steven A and Mook-Kanamori, Dennis O and Conti, Francesco J and Newton-Cheh, Christopher H and Rosand, Jonathan and Rudan, Igor and Samani, Nilesh J and Sinagra, Gianfranco and Smith, Blair H and Holm, Hilma and Stricker, Bruno H and Ulivi, Sheila and Sotoodehnia, Nona and Apte, Suneel S and van der Harst, Pim and Stefansson, Kari and Munroe, Patricia B and Arking, Dan E and Lo, Cecilia W and Jamshidi, Yalda} } @article {7845, title = {Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.}, journal = {Nat Genet}, volume = {50}, year = {2018}, month = {2018 Oct}, pages = {1412-1425}, abstract = {

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

}, issn = {1546-1718}, doi = {10.1038/s41588-018-0205-x}, author = {Evangelou, Evangelos and Warren, Helen R and Mosen-Ansorena, David and Mifsud, Borbala and Pazoki, Raha and Gao, He and Ntritsos, Georgios and Dimou, Niki and Cabrera, Claudia P and Karaman, Ibrahim and Ng, Fu Liang and Evangelou, Marina and Witkowska, Katarzyna and Tzanis, Evan and Hellwege, Jacklyn N and Giri, Ayush and Velez Edwards, Digna R and Sun, Yan V and Cho, Kelly and Gaziano, J Michael and Wilson, Peter W F and Tsao, Philip S and Kovesdy, Csaba P and Esko, T{\~o}nu and M{\"a}gi, Reedik and Milani, Lili and Almgren, Peter and Boutin, Thibaud and Debette, Stephanie and Ding, Jun and Giulianini, Franco and Holliday, Elizabeth G and Jackson, Anne U and Li-Gao, Ruifang and Lin, Wei-Yu and Luan, Jian{\textquoteright}an and Mangino, Massimo and Oldmeadow, Christopher and Prins, Bram Peter and Qian, Yong and Sargurupremraj, Muralidharan and Shah, Nabi and Surendran, Praveen and Th{\'e}riault, S{\'e}bastien and Verweij, Niek and Willems, Sara M and Zhao, Jing-Hua and Amouyel, Philippe and Connell, John and de Mutsert, Ren{\'e}e and Doney, Alex S F and Farrall, Martin and Menni, Cristina and Morris, Andrew D and Noordam, Raymond and Par{\'e}, Guillaume and Poulter, Neil R and Shields, Denis C and Stanton, Alice and Thom, Simon and Abecasis, Goncalo and Amin, Najaf and Arking, Dan E and Ayers, Kristin L and Barbieri, Caterina M and Batini, Chiara and Bis, Joshua C and Blake, Tineka and Bochud, Murielle and Boehnke, Michael and Boerwinkle, Eric and Boomsma, Dorret I and Bottinger, Erwin P and Braund, Peter S and Brumat, Marco and Campbell, Archie and Campbell, Harry and Chakravarti, Aravinda and Chambers, John C and Chauhan, Ganesh and Ciullo, Marina and Cocca, Massimiliano and Collins, Francis and Cordell, Heather J and Davies, Gail and Borst, Martin H de and Geus, Eco J de and Deary, Ian J and Deelen, Joris and del Greco M, Fabiola and Demirkale, Cumhur Yusuf and D{\"o}rr, Marcus and Ehret, Georg B and Elosua, Roberto and Enroth, Stefan and Erzurumluoglu, A Mesut and Ferreira, Teresa and Fr{\r a}nberg, Mattias and Franco, Oscar H and Gandin, Ilaria and Gasparini, Paolo and Giedraitis, Vilmantas and Gieger, Christian and Girotto, Giorgia and Goel, Anuj and Gow, Alan J and Gudnason, Vilmundur and Guo, Xiuqing and Gyllensten, Ulf and Hamsten, Anders and Harris, Tamara B and Harris, Sarah E and Hartman, Catharina A and Havulinna, Aki S and Hicks, Andrew A and Hofer, Edith and Hofman, Albert and Hottenga, Jouke-Jan and Huffman, Jennifer E and Hwang, Shih-Jen and Ingelsson, Erik and James, Alan and Jansen, Rick and Jarvelin, Marjo-Riitta and Joehanes, Roby and Johansson, Asa and Johnson, Andrew D and Joshi, Peter K and Jousilahti, Pekka and Jukema, J Wouter and Jula, Antti and K{\"a}h{\"o}nen, Mika and Kathiresan, Sekar and Keavney, Bernard D and Khaw, Kay-Tee and Knekt, Paul and Knight, Joanne and Kolcic, Ivana and Kooner, Jaspal S and Koskinen, Seppo and Kristiansson, Kati and Kutalik, Zolt{\'a}n and Laan, Maris and Larson, Marty and Launer, Lenore J and Lehne, Benjamin and Lehtim{\"a}ki, Terho and Liewald, David C M and Lin, Li and Lind, Lars and Lindgren, Cecilia M and Liu, Yongmei and Loos, Ruth J F and Lopez, Lorna M and Lu, Yingchang and Lyytik{\"a}inen, Leo-Pekka and Mahajan, Anubha and Mamasoula, Chrysovalanto and Marrugat, Jaume and Marten, Jonathan and Milaneschi, Yuri and Morgan, Anna and Morris, Andrew P and Morrison, Alanna C and Munson, Peter J and Nalls, Mike A and Nandakumar, Priyanka and Nelson, Christopher P and Niiranen, Teemu and Nolte, Ilja M and Nutile, Teresa and Oldehinkel, Albertine J and Oostra, Ben A and O{\textquoteright}Reilly, Paul F and Org, Elin and Padmanabhan, Sandosh and Palmas, Walter and Palotie, Aarno and Pattie, Alison and Penninx, Brenda W J H and Perola, Markus and Peters, Annette and Polasek, Ozren and Pramstaller, Peter P and Nguyen, Quang Tri and Raitakari, Olli T and Ren, Meixia and Rettig, Rainer and Rice, Kenneth and Ridker, Paul M and Ried, Janina S and Riese, Harri{\"e}tte and Ripatti, Samuli and Robino, Antonietta and Rose, Lynda M and Rotter, Jerome I and Rudan, Igor and Ruggiero, Daniela and Saba, Yasaman and Sala, Cinzia F and Salomaa, Veikko and Samani, Nilesh J and Sarin, Antti-Pekka and Schmidt, Reinhold and Schmidt, Helena and Shrine, Nick and Siscovick, David and Smith, Albert V and Snieder, Harold and S{\~o}ber, Siim and Sorice, Rossella and Starr, John M and Stott, David J and Strachan, David P and Strawbridge, Rona J and Sundstr{\"o}m, Johan and Swertz, Morris A and Taylor, Kent D and Teumer, Alexander and Tobin, Martin D and Tomaszewski, Maciej and Toniolo, Daniela and Traglia, Michela and Trompet, Stella and Tuomilehto, Jaakko and Tzourio, Christophe and Uitterlinden, Andr{\'e} G and Vaez, Ahmad and van der Most, Peter J and van Duijn, Cornelia M and Vergnaud, Anne-Claire and Verwoert, Germaine C and Vitart, Veronique and V{\"o}lker, Uwe and Vollenweider, Peter and Vuckovic, Dragana and Watkins, Hugh and Wild, Sarah H and Willemsen, Gonneke and Wilson, James F and Wright, Alan F and Yao, Jie and Zemunik, Tatijana and Zhang, Weihua and Attia, John R and Butterworth, Adam S and Chasman, Daniel I and Conen, David and Cucca, Francesco and Danesh, John and Hayward, Caroline and Howson, Joanna M M and Laakso, Markku and Lakatta, Edward G and Langenberg, Claudia and Melander, Olle and Mook-Kanamori, Dennis O and Palmer, Colin N A and Risch, Lorenz and Scott, Robert A and Scott, Rodney J and Sever, Peter and Spector, Tim D and van der Harst, Pim and Wareham, Nicholas J and Zeggini, Eleftheria and Levy, Daniel and Munroe, Patricia B and Newton-Cheh, Christopher and Brown, Morris J and Metspalu, Andres and Hung, Adriana M and O{\textquoteright}Donnell, Christopher J and Edwards, Todd L and Psaty, Bruce M and Tzoulaki, Ioanna and Barnes, Michael R and Wain, Louise V and Elliott, Paul and Caulfield, Mark J} } @article {7774, title = {Genetic Variants Associated with Circulating Fibroblast Growth Factor 23.}, journal = {J Am Soc Nephrol}, year = {2018}, month = {2018 Sep 14}, abstract = {

BACKGROUND: Fibroblast growth factor 23 (FGF23), a bone-derived hormone that regulates phosphorus and vitamin D metabolism, contributes to the pathogenesis of mineral and bone disorders in CKD and is an emerging cardiovascular risk factor. Central elements of FGF23 regulation remain incompletely understood; genetic variation may help explain interindividual differences.

METHODS: We performed a meta-analysis of genome-wide association studies of circulating FGF23 concentrations among 16,624 participants of European ancestry from seven cohort studies, excluding participants with eGFR<30 ml/min per 1.73 m to focus on FGF23 under normal conditions. We evaluated the association of single-nucleotide polymorphisms (SNPs) with natural log-transformed FGF23 concentration, adjusted for age, sex, study site, and principal components of ancestry. A second model additionally adjusted for BMI and eGFR.

RESULTS: We discovered 154 SNPs from five independent regions associated with FGF23 concentration. The SNP with the strongest association, rs17216707 (=3.0{\texttimes}10), lies upstream of , which encodes the primary catabolic enzyme for 1,25-dihydroxyvitamin D and 25-hydroxyvitamin D. Each additional copy of the T allele at this locus is associated with 5\% higher FGF23 concentration. Another locus strongly associated with variations in FGF23 concentration is rs11741640, within and upstream of (a gene involved in renal phosphate transport). Additional adjustment for BMI and eGFR did not materially alter the magnitude of these associations. Another top locus (within , the ABO blood group transferase gene) was no longer statistically significant at the genome-wide level.

CONCLUSIONS: Common genetic variants located near genes involved in vitamin D metabolism and renal phosphate transport are associated with differences in circulating FGF23 concentrations.

}, issn = {1533-3450}, doi = {10.1681/ASN.2018020192}, author = {Robinson-Cohen, Cassianne and Bartz, Traci M and Lai, Dongbing and Ikizler, T Alp and Peacock, Munro and Imel, Erik A and Michos, Erin D and Foroud, Tatiana M and {\r A}kesson, Kristina and Taylor, Kent D and Malmgren, Linnea and Matsushita, Kunihiro and Nethander, Maria and Eriksson, Joel and Ohlsson, Claes and Mellstr{\"o}m, Daniel and Wolf, Myles and Ljunggren, Osten and McGuigan, Fiona and Rotter, Jerome I and Karlsson, Magnus and Econs, Michael J and Ix, Joachim H and Lutsey, Pamela L and Psaty, Bruce M and de Boer, Ian H and Kestenbaum, Bryan R} } @article {7786, title = {Genetic Variation in Genes Underlying Diverse Dementias May Explain a Small Proportion of Cases in the Alzheimer{\textquoteright}s Disease Sequencing Project.}, journal = {Dement Geriatr Cogn Disord}, volume = {45}, year = {2018}, month = {2018}, pages = {1-17}, abstract = {

BACKGROUND/AIMS: The Alzheimer{\textquoteright}s Disease Sequencing Project (ADSP) aims to identify novel genes influencing Alzheimer{\textquoteright}s disease (AD). Variants within genes known to cause dementias other than AD have previously been associated with AD risk. We describe evidence of co-segregation and associations between variants in dementia genes and clinically diagnosed AD within the ADSP.

METHODS: We summarize the properties of known pathogenic variants within dementia genes, describe the co-segregation of variants annotated as "pathogenic" in ClinVar and new candidates observed in ADSP families, and test for associations between rare variants in dementia genes in the ADSP case-control study. The participants were clinically evaluated for AD, and they represent European, Caribbean Hispanic, and isolate Dutch populations.

RESULTS/CONCLUSIONS: Pathogenic variants in dementia genes were predominantly rare and conserved coding changes. Pathogenic variants within ARSA, CSF1R, and GRN were observed, and candidate variants in GRN and CHMP2B were nominated in ADSP families. An independent case-control study provided evidence of an association between variants in TREM2, APOE, ARSA, CSF1R, PSEN1, and MAPT and risk of AD. Variants in genes which cause dementing disorders may influence the clinical diagnosis of AD in a small proportion of cases within the ADSP.

}, issn = {1421-9824}, doi = {10.1159/000485503}, author = {Blue, Elizabeth E and Bis, Joshua C and Dorschner, Michael O and Tsuang, Debby W and Barral, Sandra M and Beecham, Gary and Below, Jennifer E and Bush, William S and Butkiewicz, Mariusz and Cruchaga, Carlos and DeStefano, Anita and Farrer, Lindsay A and Goate, Alison and Haines, Jonathan and Jaworski, Jim and Jun, Gyungah and Kunkle, Brian and Kuzma, Amanda and Lee, Jenny J and Lunetta, Kathryn L and Ma, Yiyi and Martin, Eden and Naj, Adam and Nato, Alejandro Q and Navas, Patrick and Nguyen, Hiep and Reitz, Christiane and Reyes, Dolly and Salerno, William and Schellenberg, Gerard D and Seshadri, Sudha and Sohi, Harkirat and Thornton, Timothy A and Valadares, Otto and van Duijn, Cornelia and Vardarajan, Badri N and Wang, Li-San and Boerwinkle, Eric and Dupuis, Jos{\'e}e and Pericak-Vance, Margaret A and Mayeux, Richard and Wijsman, Ellen M} } @article {7920, title = {Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders.}, journal = {Am J Hum Genet}, volume = {103}, year = {2018}, month = {2018 Nov 01}, pages = {691-706}, abstract = {

C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5~{\texttimes} 10). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0\% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2018.09.009}, author = {Ligthart, Symen and Vaez, Ahmad and V{\~o}sa, Urmo and Stathopoulou, Maria G and de Vries, Paul S and Prins, Bram P and van der Most, Peter J and Tanaka, Toshiko and Naderi, Elnaz and Rose, Lynda M and Wu, Ying and Karlsson, Robert and Barbalic, Maja and Lin, Honghuang and Pool, Rene and Zhu, Gu and Mace, Aurelien and Sidore, Carlo and Trompet, Stella and Mangino, Massimo and Sabater-Lleal, Maria and Kemp, John P and Abbasi, Ali and Kacprowski, Tim and Verweij, Niek and Smith, Albert V and Huang, Tao and Marzi, Carola and Feitosa, Mary F and Lohman, Kurt K and Kleber, Marcus E and Milaneschi, Yuri and Mueller, Christian and Huq, Mahmudul and Vlachopoulou, Efthymia and Lyytik{\"a}inen, Leo-Pekka and Oldmeadow, Christopher and Deelen, Joris and Perola, Markus and Zhao, Jing Hua and Feenstra, Bjarke and Amini, Marzyeh and Lahti, Jari and Schraut, Katharina E and Fornage, Myriam and Suktitipat, Bhoom and Chen, Wei-Min and Li, Xiaohui and Nutile, Teresa and Malerba, Giovanni and Luan, Jian{\textquoteright}an and Bak, Tom and Schork, Nicholas and del Greco M, Fabiola and Thiering, Elisabeth and Mahajan, Anubha and Marioni, Riccardo E and Mihailov, Evelin and Eriksson, Joel and Ozel, Ayse Bilge and Zhang, Weihua and Nethander, Maria and Cheng, Yu-Ching and Aslibekyan, Stella and Ang, Wei and Gandin, Ilaria and Yengo, Loic and Portas, Laura and Kooperberg, Charles and Hofer, Edith and Rajan, Kumar B and Schurmann, Claudia and den Hollander, Wouter and Ahluwalia, Tarunveer S and Zhao, Jing and Draisma, Harmen H M and Ford, Ian and Timpson, Nicholas and Teumer, Alexander and Huang, Hongyan and Wahl, Simone and Liu, Yongmei and Huang, Jie and Uh, Hae-Won and Geller, Frank and Joshi, Peter K and Yanek, Lisa R and Trabetti, Elisabetta and Lehne, Benjamin and Vozzi, Diego and Verbanck, Marie and Biino, Ginevra and Saba, Yasaman and Meulenbelt, Ingrid and O{\textquoteright}Connell, Jeff R and Laakso, Markku and Giulianini, Franco and Magnusson, Patrik K E and Ballantyne, Christie M and Hottenga, Jouke Jan and Montgomery, Grant W and Rivadineira, Fernando and Rueedi, Rico and Steri, Maristella and Herzig, Karl-Heinz and Stott, David J and Menni, Cristina and Fr{\r a}nberg, Mattias and St Pourcain, Beate and Felix, Stephan B and Pers, Tune H and Bakker, Stephan J L and Kraft, Peter and Peters, Annette and Vaidya, Dhananjay and Delgado, Graciela and Smit, Johannes H and Gro{\ss}mann, Vera and Sinisalo, Juha and Sepp{\"a}l{\"a}, Ilkka and Williams, Stephen R and Holliday, Elizabeth G and Moed, Matthijs and Langenberg, Claudia and R{\"a}ikk{\"o}nen, Katri and Ding, Jingzhong and Campbell, Harry and Sale, Mich{\`e}le M and Chen, Yii-der I and James, Alan L and Ruggiero, Daniela and Soranzo, Nicole and Hartman, Catharina A and Smith, Erin N and Berenson, Gerald S and Fuchsberger, Christian and Hernandez, Dena and Tiesler, Carla M T and Giedraitis, Vilmantas and Liewald, David and Fischer, Krista and Mellstr{\"o}m, Dan and Larsson, Anders and Wang, Yunmei and Scott, William R and Lorentzon, Matthias and Beilby, John and Ryan, Kathleen A and Pennell, Craig E and Vuckovic, Dragana and Balkau, Beverly and Concas, Maria Pina and Schmidt, Reinhold and Mendes de Leon, Carlos F and Bottinger, Erwin P and Kloppenburg, Margreet and Paternoster, Lavinia and Boehnke, Michael and Musk, A W and Willemsen, Gonneke and Evans, David M and Madden, Pamela A F and K{\"a}h{\"o}nen, Mika and Kutalik, Zolt{\'a}n and Zoledziewska, Magdalena and Karhunen, Ville and Kritchevsky, Stephen B and Sattar, Naveed and Lachance, Genevieve and Clarke, Robert and Harris, Tamara B and Raitakari, Olli T and Attia, John R and van Heemst, Diana and Kajantie, Eero and Sorice, Rossella and Gambaro, Giovanni and Scott, Robert A and Hicks, Andrew A and Ferrucci, Luigi and Standl, Marie and Lindgren, Cecilia M and Starr, John M and Karlsson, Magnus and Lind, Lars and Li, Jun Z and Chambers, John C and Mori, Trevor A and de Geus, Eco J C N and Heath, Andrew C and Martin, Nicholas G and Auvinen, Juha and Buckley, Brendan M and de Craen, Anton J M and Waldenberger, Melanie and Strauch, Konstantin and Meitinger, Thomas and Scott, Rodney J and McEvoy, Mark and Beekman, Marian and Bombieri, Cristina and Ridker, Paul M and Mohlke, Karen L and Pedersen, Nancy L and Morrison, Alanna C and Boomsma, Dorret I and Whitfield, John B and Strachan, David P and Hofman, Albert and Vollenweider, Peter and Cucca, Francesco and Jarvelin, Marjo-Riitta and Jukema, J Wouter and Spector, Tim D and Hamsten, Anders and Zeller, Tanja and Uitterlinden, Andr{\'e} G and Nauck, Matthias and Gudnason, Vilmundur and Qi, Lu and Grallert, Harald and Borecki, Ingrid B and Rotter, Jerome I and M{\"a}rz, Winfried and Wild, Philipp S and Lokki, Marja-Liisa and Boyle, Michael and Salomaa, Veikko and Melbye, Mads and Eriksson, Johan G and Wilson, James F and Penninx, Brenda W J H and Becker, Diane M and Worrall, Bradford B and Gibson, Greg and Krauss, Ronald M and Ciullo, Marina and Zaza, Gianluigi and Wareham, Nicholas J and Oldehinkel, Albertine J and Palmer, Lyle J and Murray, Sarah S and Pramstaller, Peter P and Bandinelli, Stefania and Heinrich, Joachim and Ingelsson, Erik and Deary, Ian J and M{\"a}gi, Reedik and Vandenput, Liesbeth and van der Harst, Pim and Desch, Karl C and Kooner, Jaspal S and Ohlsson, Claes and Hayward, Caroline and Lehtim{\"a}ki, Terho and Shuldiner, Alan R and Arnett, Donna K and Beilin, Lawrence J and Robino, Antonietta and Froguel, Philippe and Pirastu, Mario and Jess, Tine and Koenig, Wolfgang and Loos, Ruth J F and Evans, Denis A and Schmidt, Helena and Smith, George Davey and Slagboom, P Eline and Eiriksdottir, Gudny and Morris, Andrew P and Psaty, Bruce M and Tracy, Russell P and Nolte, Ilja M and Boerwinkle, Eric and Visvikis-Siest, Sophie and Reiner, Alex P and Gross, Myron and Bis, Joshua C and Franke, Lude and Franco, Oscar H and Benjamin, Emelia J and Chasman, Daniel I and Dupuis, Jos{\'e}e and Snieder, Harold and Dehghan, Abbas and Alizadeh, Behrooz Z} } @article {7927, title = {Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 10 26}, pages = {4455}, abstract = {

Thyroid dysfunction is an important public health problem, which affects 10\% of the general population and increases the risk of cardiovascular morbidity and mortality. Many aspects of thyroid hormone regulation have only partly been elucidated, including its transport, metabolism, and genetic determinants. Here we report a large meta-analysis of genome-wide association studies for thyroid function and dysfunction, testing 8 million genetic variants in up to 72,167 individuals. One-hundred-and-nine independent genetic variants are associated with these traits. A genetic risk score, calculated to assess their combined effects on clinical end points, shows significant associations with increased risk of both overt (Graves{\textquoteright} disease) and subclinical thyroid disease, as well as clinical complications. By functional follow-up on selected signals, we identify a novel thyroid hormone transporter (SLC17A4) and a metabolizing enzyme (AADAT). Together, these results provide new knowledge about thyroid hormone physiology and disease, opening new possibilities for therapeutic targets.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-06356-1}, author = {Teumer, Alexander and Chaker, Layal and Groeneweg, Stefan and Li, Yong and Di Munno, Celia and Barbieri, Caterina and Schultheiss, Ulla T and Traglia, Michela and Ahluwalia, Tarunveer S and Akiyama, Masato and Appel, Emil Vincent R and Arking, Dan E and Arnold, Alice and Astrup, Arne and Beekman, Marian and Beilby, John P and Bekaert, Sofie and Boerwinkle, Eric and Brown, Suzanne J and De Buyzere, Marc and Campbell, Purdey J and Ceresini, Graziano and Cerqueira, Charlotte and Cucca, Francesco and Deary, Ian J and Deelen, Joris and Eckardt, Kai-Uwe and Ekici, Arif B and Eriksson, Johan G and Ferrrucci, Luigi and Fiers, Tom and Fiorillo, Edoardo and Ford, Ian and Fox, Caroline S and Fuchsberger, Christian and Galesloot, Tessel E and Gieger, Christian and G{\"o}gele, Martin and De Grandi, Alessandro and Grarup, Niels and Greiser, Karin Halina and Haljas, Kadri and Hansen, Torben and Harris, Sarah E and van Heemst, Diana and den Heijer, Martin and Hicks, Andrew A and den Hollander, Wouter and Homuth, Georg and Hui, Jennie and Ikram, M Arfan and Ittermann, Till and Jensen, Richard A and Jing, Jiaojiao and Jukema, J Wouter and Kajantie, Eero and Kamatani, Yoichiro and Kasbohm, Elisa and Kaufman, Jean-Marc and Kiemeney, Lambertus A and Kloppenburg, Margreet and Kronenberg, Florian and Kubo, Michiaki and Lahti, Jari and Lapauw, Bruno and Li, Shuo and Liewald, David C M and Lim, Ee Mun and Linneberg, Allan and Marina, Michela and Mascalzoni, Deborah and Matsuda, Koichi and Medenwald, Daniel and Meisinger, Christa and Meulenbelt, Ingrid and De Meyer, Tim and Meyer zu Schwabedissen, Henriette E and Mikolajczyk, Rafael and Moed, Matthijs and Netea-Maier, Romana T and Nolte, Ilja M and Okada, Yukinori and Pala, Mauro and Pattaro, Cristian and Pedersen, Oluf and Petersmann, Astrid and Porcu, Eleonora and Postmus, Iris and Pramstaller, Peter P and Psaty, Bruce M and Ramos, Yolande F M and Rawal, Rajesh and Redmond, Paul and Richards, J Brent and Rietzschel, Ernst R and Rivadeneira, Fernando and Roef, Greet and Rotter, Jerome I and Sala, Cinzia F and Schlessinger, David and Selvin, Elizabeth and Slagboom, P Eline and Soranzo, Nicole and S{\o}rensen, Thorkild I A and Spector, Timothy D and Starr, John M and Stott, David J and Taes, Youri and Taliun, Daniel and Tanaka, Toshiko and Thuesen, Betina and Tiller, Daniel and Toniolo, Daniela and Uitterlinden, Andr{\'e} G and Visser, W Edward and Walsh, John P and Wilson, Scott G and Wolffenbuttel, Bruce H R and Yang, Qiong and Zheng, Hou-Feng and Cappola, Anne and Peeters, Robin P and Naitza, Silvia and V{\"o}lzke, Henry and Sanna, Serena and K{\"o}ttgen, Anna and Visser, Theo J and Medici, Marco} } @article {7791, title = {Genome-wide association meta-analysis of circulating odd-numbered chain saturated fatty acids: Results from the CHARGE Consortium.}, journal = {PLoS One}, volume = {13}, year = {2018}, month = {2018}, pages = {e0196951}, abstract = {

BACKGROUND: Odd-numbered chain saturated fatty acids (OCSFA) have been associated with potential health benefits. Although some OCSFA (e.g., C15:0 and C17:0) are found in meats and dairy products, sources and metabolism of C19:0 and C23:0 are relatively unknown, and the influence of non-dietary determinants, including genetic factors, on circulating levels of OCSFA is not established.

OBJECTIVE: To elucidate the biological processes that influence circulating levels of OCSFA by investigating associations between genetic variation and OCSFA.

DESIGN: We performed a meta-analysis of genome-wide association studies (GWAS) of plasma phospholipid/erythrocyte levels of C15:0, C17:0, C19:0, and C23:0 among 11,494 individuals of European descent. We also investigated relationships between specific single nucleotide polymorphisms (SNPs) in the lactase (LCT) gene, associated with adult-onset lactase intolerance, with circulating levels of dairy-derived OCSFA, and evaluated associations of candidate sphingolipid genes with C23:0 levels.

RESULTS: We found no genome-wide significant evidence that common genetic variation is associated with circulating levels of C15:0 or C23:0. In two cohorts with available data, we identified one intronic SNP (rs13361131) in myosin X gene (MYO10) associated with C17:0 level (P = 1.37{\texttimes}10-8), and two intronic SNP (rs12874278 and rs17363566) in deleted in lymphocytic leukemia 1 (DLEU1) region associated with C19:0 level (P = 7.07{\texttimes}10-9). In contrast, when using a candidate-gene approach, we found evidence that three SNPs in LCT (rs11884924, rs16832067, and rs3816088) are associated with circulating C17:0 level (adjusted P = 4{\texttimes}10-2). In addition, nine SNPs in the ceramide synthase 4 (CERS4) region were associated with circulating C23:0 levels (adjusted P<5{\texttimes}10-2).

CONCLUSIONS: Our findings suggest that circulating levels of OCSFA may be predominantly influenced by non-genetic factors. SNPs associated with C17:0 level in the LCT gene may reflect genetic influence in dairy consumption or in metabolism of dairy foods. SNPs associated with C23:0 may reflect a role of genetic factors in the synthesis of sphingomyelin.

}, keywords = {Fatty Acids, Genome-Wide Association Study, Humans, Introns, Lactase, Myosins, Polymorphism, Single Nucleotide, Sphingomyelins, Sphingosine N-Acyltransferase, Tumor Suppressor Proteins}, issn = {1932-6203}, doi = {10.1371/journal.pone.0196951}, author = {de Oliveira Otto, Marcia C and Lemaitre, Rozenn N and Sun, Qi and King, Irena B and Wu, Jason H Y and Manichaikul, Ani and Rich, Stephen S and Tsai, Michael Y and Chen, Y D and Fornage, Myriam and Weihua, Guan and Aslibekyan, Stella and Irvin, Marguerite R and Kabagambe, Edmond K and Arnett, Donna K and Jensen, Majken K and McKnight, Barbara and Psaty, Bruce M and Steffen, Lyn M and Smith, Caren E and Riserus, Ulf and Lind, Lars and Hu, Frank B and Rimm, Eric B and Siscovick, David S and Mozaffarian, Dariush} } @article {7667, title = {Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 Jan 17}, pages = {260}, abstract = {

Vitamin D is a steroid hormone precursor that is associated with a range of human traits and diseases. Previous GWAS of serum 25-hydroxyvitamin D concentrations have identified four genome-wide significant loci (GC, NADSYN1/DHCR7, CYP2R1, CYP24A1). In this study, we expand the previous SUNLIGHT Consortium GWAS discovery sample size from 16,125 to 79,366 (all European descent). This larger GWAS yields two additional loci harboring genome-wide significant variants (P = 4.7{\texttimes}10 at rs8018720 in SEC23A, and P = 1.9{\texttimes}10 at rs10745742 in AMDHD1). The overall estimate of heritability of 25-hydroxyvitamin D serum concentrations attributable to GWAS common SNPs is 7.5\%, with statistically significant loci explaining 38\% of this total. Further investigation identifies signal enrichment in immune and hematopoietic tissues, and clustering with autoimmune diseases in cell-type-specific analysis. Larger studies are required to identify additional common SNPs, and to explore the role of rare or structural variants and gene-gene interactions in the heritability of circulating 25-hydroxyvitamin D levels.

}, issn = {2041-1723}, doi = {10.1038/s41467-017-02662-2}, author = {Jiang, Xia and O{\textquoteright}Reilly, Paul F and Aschard, Hugues and Hsu, Yi-Hsiang and Richards, J Brent and Dupuis, Jos{\'e}e and Ingelsson, Erik and Karasik, David and Pilz, Stefan and Berry, Diane and Kestenbaum, Bryan and Zheng, Jusheng and Luan, Jianan and Sofianopoulou, Eleni and Streeten, Elizabeth A and Albanes, Demetrius and Lutsey, Pamela L and Yao, Lu and Tang, Weihong and Econs, Michael J and Wallaschofski, Henri and V{\"o}lzke, Henry and Zhou, Ang and Power, Chris and McCarthy, Mark I and Michos, Erin D and Boerwinkle, Eric and Weinstein, Stephanie J and Freedman, Neal D and Huang, Wen-Yi and van Schoor, Natasja M and van der Velde, Nathalie and Groot, Lisette C P G M de and Enneman, Anke and Cupples, L Adrienne and Booth, Sarah L and Vasan, Ramachandran S and Liu, Ching-Ti and Zhou, Yanhua and Ripatti, Samuli and Ohlsson, Claes and Vandenput, Liesbeth and Lorentzon, Mattias and Eriksson, Johan G and Shea, M Kyla and Houston, Denise K and Kritchevsky, Stephen B and Liu, Yongmei and Lohman, Kurt K and Ferrucci, Luigi and Peacock, Munro and Gieger, Christian and Beekman, Marian and Slagboom, Eline and Deelen, Joris and Heemst, Diana van and Kleber, Marcus E and M{\"a}rz, Winfried and de Boer, Ian H and Wood, Alexis C and Rotter, Jerome I and Rich, Stephen S and Robinson-Cohen, Cassianne and den Heijer, Martin and Jarvelin, Marjo-Riitta and Cavadino, Alana and Joshi, Peter K and Wilson, James F and Hayward, Caroline and Lind, Lars and Micha{\"e}lsson, Karl and Trompet, Stella and Zillikens, M Carola and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Broer, Linda and Zgaga, Lina and Campbell, Harry and Theodoratou, Evropi and Farrington, Susan M and Timofeeva, Maria and Dunlop, Malcolm G and Valdes, Ana M and Tikkanen, Emmi and Lehtim{\"a}ki, Terho and Lyytik{\"a}inen, Leo-Pekka and K{\"a}h{\"o}nen, Mika and Raitakari, Olli T and Mikkil{\"a}, Vera and Ikram, M Arfan and Sattar, Naveed and Jukema, J Wouter and Wareham, Nicholas J and Langenberg, Claudia and Forouhi, Nita G and Gundersen, Thomas E and Khaw, Kay-Tee and Butterworth, Adam S and Danesh, John and Spector, Timothy and Wang, Thomas J and Hypp{\"o}nen, Elina and Kraft, Peter and Kiel, Douglas P} } @article {7924, title = {Genome-Wide Association Trans-Ethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels.}, journal = {Circulation}, year = {2018}, month = {2018 Nov 20}, abstract = {

BACKGROUND: Factor VIII (FVIII) and its carrier protein von Willebrand factor (VWF) are associated with risk of arterial and venous thrombosis and with hemorrhagic disorders. We aimed to identify and functionally test novel genetic associations regulating plasma FVIII and VWF.

METHODS: We meta-analyzed genome-wide association results from 46,354 individuals of European, African, East Asian, and Hispanic ancestry. All studies performed linear regression analysis using an additive genetic model and associated approximately 35 million imputed variants with natural-log transformed phenotype levels. In vitro gene silencing in cultured endothelial cells was performed for candidate genes to provide additional evidence on association and function. Two-sample Mendelian randomization (MR) analyses were applied to test the causal role of FVIII and VWF plasma levels on the risk of arterial and venous thrombotic events.

RESULTS: We identified 13 novel genome-wide significant (p<=2.5x10) associations; 7 with FVIII levels ( FCHO2/TMEM171/TNPO1, HLA, SOX17/RP1, LINC00583/NFIB, RAB5C-KAT2A, RPL3/TAB1/SYNGR1, and ARSA) and 11 with VWF levels ( PDHB/PXK/KCTD6, SLC39A8, FCHO2/TMEM171/TNPO1, HLA, GIMAP7/GIMAP4, OR13C5/NIPSNAP, DAB2IP, C2CD4B, RAB5C-KAT2A, TAB1/SYNGR1, and ARSA), beyond 10 previously reported associations with these phenotypes. Functional validation provided further evidence of association for all loci on VWF except ARSA and DAB2IP. MR suggested causal effects of plasma FVIII activity levels on venous thrombosis and coronary artery disease risk and plasma VWF levels on ischemic stroke risk.

CONCLUSIONS: The meta-analysis identified 13 novel genetic loci regulating FVIII and VWF plasma levels, 10 of which we validated functionally. We provide some evidence for a causal role of these proteins in thrombotic events.

}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.118.034532}, author = {Sabater-Lleal, Maria and Huffman, Jennifer E and de Vries, Paul S and Marten, Jonathan and Mastrangelo, Michael A and Song, Ci and Pankratz, Nathan and Ward-Caviness, Cavin K and Yanek, Lisa R and Trompet, Stella and Delgado, Graciela E and Guo, Xiuqing and Bartz, Traci M and Martinez-Perez, Angel and Germain, Marine and de Haan, Hugoline G and Ozel, Ayse B and Polasek, Ozren and Smith, Albert V and Eicher, John D and Reiner, Alex P and Tang, Weihong and Davies, Neil M and Stott, David J and Rotter, Jerome I and Tofler, Geoffrey H and Boerwinkle, Eric and de Maat, Moniek P M and Kleber, Marcus E and Welsh, Paul and Brody, Jennifer A and Chen, Ming-Huei and Vaidya, Dhananjay and Soria, Jos{\'e} Manuel and Suchon, Pierre and van Hylckama Vlieg, Astrid and Desch, Karl C and Kolcic, Ivana and Joshi, Peter K and Launer, Lenore J and Harris, Tamara B and Campbell, Harry and Rudan, Igor and Becker, Diane M and Li, Jun Z and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Hofman, Albert and Franco, Oscar H and Cushman, Mary and Psaty, Bruce M and Morange, Pierre-Emmanuel and McKnight, Barbara and Chong, Michael R and Fernandez-Cadenas, Israel and Rosand, Jonathan and Lindgren, Arne and Gudnason, Vilmundur and Wilson, James F and Hayward, Caroline and Ginsburg, David and Fornage, Myriam and Rosendaal, Frits R and Souto, Juan Carlos and Becker, Lewis C and Jenny, Nancy S and M{\"a}rz, Winfried and Jukema, J Wouter and Dehghan, Abbas and Tr{\'e}gou{\"e}t, David-Alexandre and Morrison, Alanna C and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Strachan, David P and Lowenstein, Charles J and Smith, Nicholas L} } @article {7848, title = {Genome-wide meta-analysis of 158,000 individuals of European ancestry identifies three loci associated with chronic back pain.}, journal = {PLoS Genet}, volume = {14}, year = {2018}, month = {2018 Sep}, pages = {e1007601}, abstract = {

Back pain is the $\#$1 cause of years lived with disability worldwide, yet surprisingly little is known regarding the biology underlying this symptom. We conducted a genome-wide association study (GWAS) meta-analysis of chronic back pain (CBP). Adults of European ancestry were included from 15 cohorts in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and from the UK Biobank interim data release. CBP cases were defined as those reporting back pain present for >=3-6 months; non-cases were included as comparisons ("controls"). Each cohort conducted genotyping using commercially available arrays followed by imputation. GWAS used logistic regression models with additive genetic effects, adjusting for age, sex, study-specific covariates, and population substructure. The threshold for genome-wide significance in the fixed-effect inverse-variance weighted meta-analysis was p<5{\texttimes}10-8. Suggestive (p<5{\texttimes}10-7) and genome-wide significant (p<5{\texttimes}10-8) variants were carried forward for replication or further investigation in the remaining UK Biobank participants not included in the discovery sample. The discovery sample comprised 158,025 individuals, including 29,531 CBP cases. A genome-wide significant association was found for the intronic variant rs12310519 in SOX5 (OR 1.08, p = 7.2{\texttimes}10-10). This was subsequently replicated in 283,752 UK Biobank participants not included in the discovery sample, including 50,915 cases (OR 1.06, p = 5.3{\texttimes}10-11), and exceeded genome-wide significance in joint meta-analysis (OR 1.07, p = 4.5{\texttimes}10-19). We found suggestive associations at three other loci in the discovery sample, two of which exceeded genome-wide significance in joint meta-analysis: an intergenic variant, rs7833174, located between CCDC26 and GSDMC (OR 1.05, p = 4.4{\texttimes}10-13), and an intronic variant, rs4384683, in DCC (OR 0.97, p = 2.4{\texttimes}10-10). In this first reported meta-analysis of GWAS for CBP, we identified and replicated a genetic locus associated with CBP (SOX5). We also identified 2 other loci that reached genome-wide significance in a 2-stage joint meta-analysis (CCDC26/GSDMC and DCC).

}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1007601}, author = {Suri, Pradeep and Palmer, Melody R and Tsepilov, Yakov A and Freidin, Maxim B and Boer, Cindy G and Yau, Michelle S and Evans, Daniel S and Gelemanovic, Andrea and Bartz, Traci M and Nethander, Maria and Arbeeva, Liubov and Karssen, Lennart and Neogi, Tuhina and Campbell, Archie and Mellstr{\"o}m, Dan and Ohlsson, Claes and Marshall, Lynn M and Orwoll, Eric and Uitterlinden, Andre and Rotter, Jerome I and Lauc, Gordan and Psaty, Bruce M and Karlsson, Magnus K and Lane, Nancy E and Jarvik, Gail P and Polasek, Ozren and Hochberg, Marc and Jordan, Joanne M and van Meurs, Joyce B J and Jackson, Rebecca and Nielson, Carrie M and Mitchell, Braxton D and Smith, Blair H and Hayward, Caroline and Smith, Nicholas L and Aulchenko, Yurii S and Williams, Frances M K} } @article {7913, title = {GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 12 03}, pages = {5141}, abstract = {

Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.

}, keywords = {ADAMTS9 Protein, Amino Acid Oxidoreductases, Carotid Intima-Media Thickness, Coronary Disease, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Lod Score, Plaque, Atherosclerotic, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-018-07340-5}, author = {Franceschini, Nora and Giambartolomei, Claudia and de Vries, Paul S and Finan, Chris and Bis, Joshua C and Huntley, Rachael P and Lovering, Ruth C and Tajuddin, Salman M and Winkler, Thomas W and Graff, Misa and Kavousi, Maryam and Dale, Caroline and Smith, Albert V and Hofer, Edith and van Leeuwen, Elisabeth M and Nolte, Ilja M and Lu, Lingyi and Scholz, Markus and Sargurupremraj, Muralidharan and Pitk{\"a}nen, Niina and Franz{\'e}n, Oscar and Joshi, Peter K and Noordam, Raymond and Marioni, Riccardo E and Hwang, Shih-Jen and Musani, Solomon K and Schminke, Ulf and Palmas, Walter and Isaacs, Aaron and Correa, Adolfo and Zonderman, Alan B and Hofman, Albert and Teumer, Alexander and Cox, Amanda J and Uitterlinden, Andr{\'e} G and Wong, Andrew and Smit, Andries J and Newman, Anne B and Britton, Annie and Ruusalepp, Arno and Sennblad, Bengt and Hedblad, Bo and Pasaniuc, Bogdan and Penninx, Brenda W and Langefeld, Carl D and Wassel, Christina L and Tzourio, Christophe and Fava, Cristiano and Baldassarre, Damiano and O{\textquoteright}Leary, Daniel H and Teupser, Daniel and Kuh, Diana and Tremoli, Elena and Mannarino, Elmo and Grossi, Enzo and Boerwinkle, Eric and Schadt, Eric E and Ingelsson, Erik and Veglia, Fabrizio and Rivadeneira, Fernando and Beutner, Frank and Chauhan, Ganesh and Heiss, Gerardo and Snieder, Harold and Campbell, Harry and V{\"o}lzke, Henry and Markus, Hugh S and Deary, Ian J and Jukema, J Wouter and de Graaf, Jacqueline and Price, Jacqueline and Pott, Janne and Hopewell, Jemma C and Liang, Jingjing and Thiery, Joachim and Engmann, Jorgen and Gertow, Karl and Rice, Kenneth and Taylor, Kent D and Dhana, Klodian and Kiemeney, Lambertus A L M and Lind, Lars and Raffield, Laura M and Launer, Lenore J and Holdt, Lesca M and D{\"o}rr, Marcus and Dichgans, Martin and Traylor, Matthew and Sitzer, Matthias and Kumari, Meena and Kivimaki, Mika and Nalls, Mike A and Melander, Olle and Raitakari, Olli and Franco, Oscar H and Rueda-Ochoa, Oscar L and Roussos, Panos and Whincup, Peter H and Amouyel, Philippe and Giral, Philippe and Anugu, Pramod and Wong, Quenna and Malik, Rainer and Rauramaa, Rainer and Burkhardt, Ralph and Hardy, Rebecca and Schmidt, Reinhold and de Mutsert, Ren{\'e}e and Morris, Richard W and Strawbridge, Rona J and Wannamethee, S Goya and H{\"a}gg, Sara and Shah, Sonia and McLachlan, Stela and Trompet, Stella and Seshadri, Sudha and Kurl, Sudhir and Heckbert, Susan R and Ring, Susan and Harris, Tamara B and Lehtim{\"a}ki, Terho and Galesloot, Tessel E and Shah, Tina and de Faire, Ulf and Plagnol, Vincent and Rosamond, Wayne D and Post, Wendy and Zhu, Xiaofeng and Zhang, Xiaoling and Guo, Xiuqing and Saba, Yasaman and Dehghan, Abbas and Seldenrijk, Adrie and Morrison, Alanna C and Hamsten, Anders and Psaty, Bruce M and van Duijn, Cornelia M and Lawlor, Deborah A and Mook-Kanamori, Dennis O and Bowden, Donald W and Schmidt, Helena and Wilson, James F and Wilson, James G and Rotter, Jerome I and Wardlaw, Joanna M and Deanfield, John and Halcox, Julian and Lyytik{\"a}inen, Leo-Pekka and Loeffler, Markus and Evans, Michele K and Debette, Stephanie and Humphries, Steve E and V{\"o}lker, Uwe and Gudnason, Vilmundur and Hingorani, Aroon D and Bj{\"o}rkegren, Johan L M and Casas, Juan P and O{\textquoteright}Donnell, Christopher J} } @article {8042, title = {Harmonization of Respiratory Data From 9 US Population-Based Cohorts: The NHLBI Pooled Cohorts Study.}, journal = {Am J Epidemiol}, volume = {187}, year = {2018}, month = {2018 Nov 01}, pages = {2265-2278}, abstract = {

Chronic lower respiratory diseases (CLRDs) are the fourth leading cause of death in the United States. To support investigations into CLRD risk determinants and new approaches to primary prevention, we aimed to harmonize and pool respiratory data from US general population-based cohorts. Data were obtained from prospective cohorts that performed prebronchodilator spirometry and were harmonized following 2005 ATS/ERS standards. In cohorts conducting follow-up for noncardiovascular events, CLRD events were defined as hospitalizations/deaths adjudicated as CLRD-related or assigned relevant administrative codes. Coding and variable names were applied uniformly. The pooled sample included 65,251 adults in 9 cohorts followed-up for CLRD-related mortality over 653,380 person-years during 1983-2016. Average baseline age was 52 years; 56\% were female; 49\% were never-smokers; and racial/ethnic composition was 44\% white, 22\% black, 28\% Hispanic/Latino, and 5\% American Indian. Over 96\% had complete data on smoking, clinical CLRD diagnoses, and dyspnea. After excluding invalid spirometry examinations (13\%), there were 105,696 valid examinations (median, 2 per participant). Of 29,351 participants followed for CLRD hospitalizations, median follow-up was 14 years; only 5\% were lost to follow-up at 10 years. The NHLBI Pooled Cohorts Study provides a harmonization standard applied to a large, US population-based sample that may be used to advance epidemiologic research on CLRD.

}, issn = {1476-6256}, doi = {10.1093/aje/kwy139}, author = {Oelsner, Elizabeth C and Balte, Pallavi P and Cassano, Patricia A and Couper, David and Enright, Paul L and Folsom, Aaron R and Hankinson, John and Jacobs, David R and Kalhan, Ravi and Kaplan, Robert and Kronmal, Richard and Lange, Leslie and Loehr, Laura R and London, Stephanie J and Navas Acien, Ana and Newman, Anne B and O{\textquoteright}Connor, George T and Schwartz, Joseph E and Smith, Lewis J and Yeh, Fawn and Zhang, Yiyi and Moran, Andrew E and Mwasongwe, Stanford and White, Wendy B and Yende, Sachin and Barr, R Graham} } @article {7686, title = {A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure.}, journal = {Am J Hum Genet}, volume = {102}, year = {2018}, month = {2018 Mar 01}, pages = {375-400}, abstract = {

Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined \~{}18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5~{\texttimes} 10) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5~{\texttimes} 10). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2018.01.015}, author = {Sung, Yun J and Winkler, Thomas W and de Las Fuentes, Lisa and Bentley, Amy R and Brown, Michael R and Kraja, Aldi T and Schwander, Karen and Ntalla, Ioanna and Guo, Xiuqing and Franceschini, Nora and Lu, Yingchang and Cheng, Ching-Yu and Sim, Xueling and Vojinovic, Dina and Marten, Jonathan and Musani, Solomon K and Li, Changwei and Feitosa, Mary F and Kilpel{\"a}inen, Tuomas O and Richard, Melissa A and Noordam, Raymond and Aslibekyan, Stella and Aschard, Hugues and Bartz, Traci M and Dorajoo, Rajkumar and Liu, Yongmei and Manning, Alisa K and Rankinen, Tuomo and Smith, Albert Vernon and Tajuddin, Salman M and Tayo, Bamidele O and Warren, Helen R and Zhao, Wei and Zhou, Yanhua and Matoba, Nana and Sofer, Tamar and Alver, Maris and Amini, Marzyeh and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Gandin, Ilaria and Gao, Chuan and Giulianini, Franco and Goel, Anuj and Harris, Sarah E and Hartwig, Fernando Pires and Horimoto, Andrea R V R and Hsu, Fang-Chi and Jackson, Anne U and K{\"a}h{\"o}nen, Mika and Kasturiratne, Anuradhani and Kuhnel, Brigitte and Leander, Karin and Lee, Wen-Jane and Lin, Keng-Hung and {\textquoteright}an Luan, Jian and McKenzie, Colin A and Meian, He and Nelson, Christopher P and Rauramaa, Rainer and Schupf, Nicole and Scott, Robert A and Sheu, Wayne H H and Stan{\v c}{\'a}kov{\'a}, Alena and Takeuchi, Fumihiko and van der Most, Peter J and Varga, Tibor V and Wang, Heming and Wang, Yajuan and Ware, Erin B and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Zhang, Weihua and Zhao, Jing Hua and Afaq, Saima and Alfred, Tamuno and Amin, Najaf and Arking, Dan and Aung, Tin and Barr, R Graham and Bielak, Lawrence F and Boerwinkle, Eric and Bottinger, Erwin P and Braund, Peter S and Brody, Jennifer A and Broeckel, Ulrich and Cabrera, Claudia P and Cade, Brian and Caizheng, Yu and Campbell, Archie and Canouil, Micka{\"e}l and Chakravarti, Aravinda and Chauhan, Ganesh and Christensen, Kaare and Cocca, Massimiliano and Collins, Francis S and Connell, John M and de Mutsert, Ren{\'e}e and de Silva, H Janaka and Debette, Stephanie and D{\"o}rr, Marcus and Duan, Qing and Eaton, Charles B and Ehret, Georg and Evangelou, Evangelos and Faul, Jessica D and Fisher, Virginia A and Forouhi, Nita G and Franco, Oscar H and Friedlander, Yechiel and Gao, He and Gigante, Bruna and Graff, Misa and Gu, C Charles and Gu, Dongfeng and Gupta, Preeti and Hagenaars, Saskia P and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hirata, Makoto and Hofman, Albert and Howard, Barbara V and Hunt, Steven and Irvin, Marguerite R and Jia, Yucheng and Joehanes, Roby and Justice, Anne E and Katsuya, Tomohiro and Kaufman, Joel and Kerrison, Nicola D and Khor, Chiea Chuen and Koh, Woon-Puay and Koistinen, Heikki A and Komulainen, Pirjo and Kooperberg, Charles and Krieger, Jose E and Kubo, Michiaki and Kuusisto, Johanna and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lehne, Benjamin and Lewis, Cora E and Li, Yize and Lim, Sing Hui and Lin, Shiow and Liu, Ching-Ti and Liu, Jianjun and Liu, Jingmin and Liu, Kiang and Liu, Yeheng and Loh, Marie and Lohman, Kurt K and Long, Jirong and Louie, Tin and M{\"a}gi, Reedik and Mahajan, Anubha and Meitinger, Thomas and Metspalu, Andres and Milani, Lili and Momozawa, Yukihide and Morris, Andrew P and Mosley, Thomas H and Munson, Peter and Murray, Alison D and Nalls, Mike A and Nasri, Ubaydah and Norris, Jill M and North, Kari and Ogunniyi, Adesola and Padmanabhan, Sandosh and Palmas, Walter R and Palmer, Nicholette D and Pankow, James S and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Raitakari, Olli T and Renstrom, Frida and Rice, Treva K and Ridker, Paul M and Robino, Antonietta and Robinson, Jennifer G and Rose, Lynda M and Rudan, Igor and Sabanayagam, Charumathi and Salako, Babatunde L and Sandow, Kevin and Schmidt, Carsten O and Schreiner, Pamela J and Scott, William R and Seshadri, Sudha and Sever, Peter and Sitlani, Colleen M and Smith, Jennifer A and Snieder, Harold and Starr, John M and Strauch, Konstantin and Tang, Hua and Taylor, Kent D and Teo, Yik Ying and Tham, Yih Chung and Uitterlinden, Andr{\'e} G and Waldenberger, Melanie and Wang, Lihua and Wang, Ya X and Wei, Wen Bin and Williams, Christine and Wilson, Gregory and Wojczynski, Mary K and Yao, Jie and Yuan, Jian-Min and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and Chambers, John C and Chen, Yii-Der Ida and de Faire, Ulf and Deary, Ian J and Esko, T{\~o}nu and Farrall, Martin and Forrester, Terrence and Franks, Paul W and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Horta, Bernardo Lessa and Hung, Yi-Jen and Jonas, Jost B and Kato, Norihiro and Kooner, Jaspal S and Laakso, Markku and Lehtim{\"a}ki, Terho and Liang, Kae-Woei and Magnusson, Patrik K E and Newman, Anne B and Oldehinkel, Albertine J and Pereira, Alexandre C and Redline, Susan and Rettig, Rainer and Samani, Nilesh J and Scott, James and Shu, Xiao-Ou and van der Harst, Pim and Wagenknecht, Lynne E and Wareham, Nicholas J and Watkins, Hugh and Weir, David R and Wickremasinghe, Ananda R and Wu, Tangchun and Zheng, Wei and Kamatani, Yoichiro and Laurie, Cathy C and Bouchard, Claude and Cooper, Richard S and Evans, Michele K and Gudnason, Vilmundur and Kardia, Sharon L R and Kritchevsky, Stephen B and Levy, Daniel and O{\textquoteright}Connell, Jeff R and Psaty, Bruce M and van Dam, Rob M and Sims, Mario and Arnett, Donna K and Mook-Kanamori, Dennis O and Kelly, Tanika N and Fox, Ervin R and Hayward, Caroline and Fornage, Myriam and Rotimi, Charles N and Province, Michael A and van Duijn, Cornelia M and Tai, E Shyong and Wong, Tien Yin and Loos, Ruth J F and Reiner, Alex P and Rotter, Jerome I and Zhu, Xiaofeng and Bierut, Laura J and Gauderman, W James and Caulfield, Mark J and Elliott, Paul and Rice, Kenneth and Munroe, Patricia B and Morrison, Alanna C and Cupples, L Adrienne and Rao, Dabeeru C and Chasman, Daniel I} } @article {8538, title = {{Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects}, journal = {Am J Hum Genet}, volume = {102}, year = {2018}, month = {01}, pages = {88{\textendash}102}, abstract = {Bone mineral density (BMD) assessed by DXA is used to evaluate bone health. In children, total body (TB) measurements are commonly used; in older individuals, BMD at the lumbar spine (LS) and femoral neck (FN) is used to diagnose osteoporosis. To date, genetic variants in more than 60 loci have been identified as associated with BMD. To investigate the genetic determinants of TB-BMD variation along the life course and test for age-specific effects, we performed a meta-analysis of 30 genome-wide association studies (GWASs) of TB-BMD including 66,628 individuals overall and divided across five age strata, each spanning 15 years. We identified variants associated with TB-BMD at 80 loci, of which 36 have not been previously identified; overall, they explain approximately 10\% of the TB-BMD variance when combining all age groups and influence the risk of fracture. Pathway and enrichment analysis of the association signals showed clustering within gene sets implicated in the regulation of cell growth and SMAD proteins, overexpressed in the musculoskeletal system, and enriched in enhancer and promoter regions. These findings reveal TB-BMD as a relevant trait for genetic studies of osteoporosis, enabling the identification of variants and pathways influencing different bone compartments. Only variants in ESR1 and close proximity to RANKL showed a clear effect dependency on age. This most likely indicates that the majority of genetic variants identified influence BMD early in life and that their effect can be captured throughout the life course.}, author = {Medina-Gomez, C. and Kemp, J. P. and Trajanoska, K. and Luan, J. and Chesi, A. and Ahluwalia, T. S. and Mook-Kanamori, D. O. and Ham, A. and Hartwig, F. P. and Evans, D. S. and Joro, R. and Nedeljkovic, I. and Zheng, H. F. and Zhu, K. and Atalay, M. and Liu, C. T. and Nethander, M. and Broer, L. and Porleifsson, G. and Mullin, B. H. and Handelman, S. K. and Nalls, M. A. and Jessen, L. E. and Heppe, D. H. M. and Richards, J. B. and Wang, C. and Chawes, B. and Schraut, K. E. and Amin, N. and Wareham, N. and Karasik, D. and Van der Velde, N. and Ikram, M. A. and Zemel, B. S. and Zhou, Y. and Carlsson, C. J. and Liu, Y. and McGuigan, F. E. and Boer, C. G. and B?nnelykke, K. and Ralston, S. H. and Robbins, J. A. and Walsh, J. P. and Zillikens, M. C. and Langenberg, C. and Li-Gao, R. and Williams, F. M. K. and Harris, T. B. and Akesson, K. and Jackson, R. D. and Sigurdsson, G. and den Heijer, M. and van der Eerden, B. C. J. and van de Peppel, J. and Spector, T. D. and Pennell, C. and Horta, B. L. and Felix, J. F. and Zhao, J. H. and Wilson, S. G. and de Mutsert, R. and Bisgaard, H. and Styrk?rsd?ttir, U. and Jaddoe, V. W. and Orwoll, E. and Lakka, T. A. and Scott, R. and Grant, S. F. A. and Lorentzon, M. and van Duijn, C. M. and Wilson, J. F. and Stefansson, K. and Psaty, B. M. and Kiel, D. P. and Ohlsson, C. and Ntzani, E. and van Wijnen, A. J. and Forgetta, V. and Ghanbari, M. and Logan, J. G. and Williams, G. R. and Bassett, J. H. D. and Croucher, P. I. and Evangelou, E. and Uitterlinden, A. G. and Ackert-Bicknell, C. L. and Tobias, J. H. and Evans, D. M. and Rivadeneira, F.} } @article {7805, title = {Low thyroid function is not associated with an accelerated deterioration in renal function.}, journal = {Nephrol Dial Transplant}, year = {2018}, month = {2018 Apr 18}, abstract = {

Background: Chronic kidney disease (CKD) is frequently accompanied by thyroid hormone dysfunction. It is currently unclear whether these alterations are the cause or consequence of CKD. This study aimed at studying the effect of thyroid hormone alterations on renal function in cross-sectional and longitudinal analyses in individuals from all adult age groups.

Methods: Individual participant data (IPD) from 16 independent cohorts having measured thyroid stimulating hormone, free thyroxine levels and creatinine levels were included. Thyroid hormone status was defined using clinical cut-off values. Estimated glomerular filtration rates (eGFR) were calculated by means of the four-variable Modification of Diet in Renal Disease (MDRD) formula. For this IPD meta-analysis, eGFR at baseline and eGFR change during follow-up were computed by fitting linear regression models and linear mixed models in each cohort separately. Effect estimates were pooled using random effects models.

Results: A total of 72~856 individuals from 16 different cohorts were included. At baseline, individuals with overt hypothyroidism (n = 704) and subclinical hypothyroidism (n = 3356) had a average (95\% confidence interval) -4.07 (-6.37 to -1.78) and -2.40 (-3.78 to -1.02) mL/min/1.73 m2 lower eGFR as compared with euthyroid subjects (n = 66~542). In (subclinical) hyperthyroid subjects (n = 2254), average eGFR was 3.01 (1.50-4.52) mL/min/1.73 m2 higher. During 329~713 patient years of follow-up, eGFR did not decline more rapidly in individuals with low thyroid function compared with individuals with normal thyroid function.

Conclusions: Low thyroid function is not associated with a deterioration of renal function. The cross-sectional association may be explained by renal dysfunction causing thyroid hormone alterations.

}, issn = {1460-2385}, doi = {10.1093/ndt/gfy071}, author = {Meuwese, Christiaan L and van Diepen, Merel and Cappola, Anne R and Sarnak, Mark J and Shlipak, Michael G and Bauer, Douglas C and Fried, Linda P and Iacoviello, Massimo and Vaes, Bert and Degryse, Jean and Khaw, Kay-Tee and Luben, Robert N and Asvold, Bj{\o}rn O and Bj{\o}ro, Trine and Vatten, Lars J and de Craen, Anton J M and Trompet, Stella and Iervasi, Giorgio and Molinaro, Sabrina and Ceresini, Graziano and Ferrucci, Luigi and Dullaart, Robin P F and Bakker, Stephan J L and Jukema, J Wouter and Kearney, Patricia M and Stott, David J and Peeters, Robin P and Franco, Oscar H and V{\"o}lzke, Henry and Walsh, John P and Bremner, Alexandra and Sgarbi, Jos{\'e} A and Maciel, Rui M B and Imaizumi, Misa and Ohishi, Waka and Dekker, Friedo W and Rodondi, Nicolas and Gussekloo, Jacobijn and den Elzen, Wendy P J} } @article {7775, title = {Meta-analysis across Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium provides evidence for an association of serum vitamin D with pulmonary function.}, journal = {Br J Nutr}, year = {2018}, month = {2018 Sep 12}, pages = {1-12}, abstract = {

The role that vitamin D plays in pulmonary function remains uncertain. Epidemiological studies reported mixed findings for serum 25-hydroxyvitamin D (25(OH)D)-pulmonary function association. We conducted the largest cross-sectional meta-analysis of the 25(OH)D-pulmonary function association to date, based on nine European ancestry (EA) cohorts (n 22 838) and five African ancestry (AA) cohorts (n 4290) in the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium. Data were analysed using linear models by cohort and ancestry. Effect modification by smoking status (current/former/never) was tested. Results were combined using fixed-effects meta-analysis. Mean serum 25(OH)D was 68 (sd 29) nmol/l for EA and 49 (sd 21) nmol/l for AA. For each 1 nmol/l higher 25(OH)D, forced expiratory volume in the 1st second (FEV1) was higher by 1{\textperiodcentered}1 ml in EA (95 \% CI 0{\textperiodcentered}9, 1{\textperiodcentered}3; P<0{\textperiodcentered}0001) and 1{\textperiodcentered}8 ml (95 \% CI 1{\textperiodcentered}1, 2{\textperiodcentered}5; P<0{\textperiodcentered}0001) in AA (P race difference=0{\textperiodcentered}06), and forced vital capacity (FVC) was higher by 1{\textperiodcentered}3 ml in EA (95 \% CI 1{\textperiodcentered}0, 1{\textperiodcentered}6; P<0{\textperiodcentered}0001) and 1{\textperiodcentered}5 ml (95 \% CI 0{\textperiodcentered}8, 2{\textperiodcentered}3; P=0{\textperiodcentered}0001) in AA (P race difference=0{\textperiodcentered}56). Among EA, the 25(OH)D-FVC association was stronger in smokers: per 1 nmol/l higher 25(OH)D, FVC was higher by 1{\textperiodcentered}7 ml (95 \% CI 1{\textperiodcentered}1, 2{\textperiodcentered}3) for current smokers and 1{\textperiodcentered}7 ml (95 \% CI 1{\textperiodcentered}2, 2{\textperiodcentered}1) for former smokers, compared with 0{\textperiodcentered}8 ml (95 \% CI 0{\textperiodcentered}4, 1{\textperiodcentered}2) for never smokers. In summary, the 25(OH)D associations with FEV1 and FVC were positive in both ancestries. In EA, a stronger association was observed for smokers compared with never smokers, which supports the importance of vitamin D in vulnerable populations.

}, issn = {1475-2662}, doi = {10.1017/S0007114518002180}, author = {Xu, Jiayi and Bartz, Traci M and Chittoor, Geetha and Eiriksdottir, Gudny and Manichaikul, Ani W and Sun, Fangui and Terzikhan, Natalie and Zhou, Xia and Booth, Sarah L and Brusselle, Guy G and de Boer, Ian H and Fornage, Myriam and Frazier-Wood, Alexis C and Graff, Mariaelisa and Gudnason, Vilmundur and Harris, Tamara B and Hofman, Albert and Hou, Ruixue and Houston, Denise K and Jacobs, David R and Kritchevsky, Stephen B and Latourelle, Jeanne and Lemaitre, Rozenn N and Lutsey, Pamela L and O{\textquoteright}Connor, George and Oelsner, Elizabeth C and Pankow, James S and Psaty, Bruce M and Rohde, Rebecca R and Rich, Stephen S and Rotter, Jerome I and Smith, Lewis J and Stricker, Bruno H and Voruganti, V Saroja and Wang, Thomas J and Zillikens, M Carola and Barr, R Graham and Dupuis, Jos{\'e}e and Gharib, Sina A and Lahousse, Lies and London, Stephanie J and North, Kari E and Smith, Albert V and Steffen, Lyn M and Hancock, Dana B and Cassano, Patricia A} } @article {7795, title = {Meta-analysis of exome array data identifies six novel genetic loci for lung function.}, journal = {Wellcome Open Res}, volume = {3}, year = {2018}, month = {2018}, pages = {4}, abstract = {

Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV ), forced vital capacity (FVC) and the ratio of FEV to FVC (FEV /FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. We identified significant (P<2{\textperiodcentered}8x10 ) associations with six SNPs: a nonsynonymous variant in , which is predicted to be damaging, three intronic SNPs ( and ) and two intergenic SNPs near to and Expression quantitative trait loci analyses found evidence for regulation of gene expression at three signals and implicated several genes, including and . Further interrogation of these loci could provide greater understanding of the determinants of lung function and pulmonary disease.

}, issn = {2398-502X}, doi = {10.12688/wellcomeopenres.12583.3}, author = {Jackson, Victoria E and Latourelle, Jeanne C and Wain, Louise V and Smith, Albert V and Grove, Megan L and Bartz, Traci M and Obeidat, Ma{\textquoteright}en and Province, Michael A and Gao, Wei and Qaiser, Beenish and Porteous, David J and Cassano, Patricia A and Ahluwalia, Tarunveer S and Grarup, Niels and Li, Jin and Altmaier, Elisabeth and Marten, Jonathan and Harris, Sarah E and Manichaikul, Ani and Pottinger, Tess D and Li-Gao, Ruifang and Lind-Thomsen, Allan and Mahajan, Anubha and Lahousse, Lies and Imboden, Medea and Teumer, Alexander and Prins, Bram and Lyytik{\"a}inen, Leo-Pekka and Eiriksdottir, Gudny and Franceschini, Nora and Sitlani, Colleen M and Brody, Jennifer A and Boss{\'e}, Yohan and Timens, Wim and Kraja, Aldi and Loukola, Anu and Tang, Wenbo and Liu, Yongmei and Bork-Jensen, Jette and Justesen, Johanne M and Linneberg, Allan and Lange, Leslie A and Rawal, Rajesh and Karrasch, Stefan and Huffman, Jennifer E and Smith, Blair H and Davies, Gail and Burkart, Kristin M and Mychaleckyj, Josyf C and Bonten, Tobias N and Enroth, Stefan and Lind, Lars and Brusselle, Guy G and Kumar, Ashish and Stubbe, Beate and K{\"a}h{\"o}nen, Mika and Wyss, Annah B and Psaty, Bruce M and Heckbert, Susan R and Hao, Ke and Rantanen, Taina and Kritchevsky, Stephen B and Lohman, Kurt and Skaaby, Tea and Pisinger, Charlotta and Hansen, Torben and Schulz, Holger and Polasek, Ozren and Campbell, Archie and Starr, John M and Rich, Stephen S and Mook-Kanamori, Dennis O and Johansson, Asa and Ingelsson, Erik and Uitterlinden, Andr{\'e} G and Weiss, Stefan and Raitakari, Olli T and Gudnason, Vilmundur and North, Kari E and Gharib, Sina A and Sin, Don D and Taylor, Kent D and O{\textquoteright}Connor, George T and Kaprio, Jaakko and Harris, Tamara B and Pederson, Oluf and Vestergaard, Henrik and Wilson, James G and Strauch, Konstantin and Hayward, Caroline and Kerr, Shona and Deary, Ian J and Barr, R Graham and de Mutsert, Ren{\'e}e and Gyllensten, Ulf and Morris, Andrew P and Ikram, M Arfan and Probst-Hensch, Nicole and Gl{\"a}ser, Sven and Zeggini, Eleftheria and Lehtim{\"a}ki, Terho and Strachan, David P and Dupuis, Jos{\'e}e and Morrison, Alanna C and Hall, Ian P and Tobin, Martin D and London, Stephanie J} } @article {7558, title = {Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks.}, journal = {Nat Genet}, volume = {50}, year = {2018}, month = {2018 Jan}, pages = {42-53}, abstract = {

We examined common variation in asthma risk by conducting a meta-analysis of worldwide asthma genome-wide association studies (23,948 asthma cases, 118,538 controls) of individuals from ethnically diverse populations. We identified five new asthma loci, found two new associations at two known asthma loci, established asthma associations at two loci previously implicated in the comorbidity of asthma plus hay fever, and confirmed nine known loci. Investigation of pleiotropy showed large overlaps in genetic variants with autoimmune and inflammatory diseases. The enrichment in enhancer marks at asthma risk loci, especially in immune cells, suggested a major role of these loci in the regulation of immunologically related mechanisms.

}, issn = {1546-1718}, doi = {10.1038/s41588-017-0014-7}, author = {Demenais, Florence and Margaritte-Jeannin, Patricia and Barnes, Kathleen C and Cookson, William O C and Altm{\"u}ller, Janine and Ang, Wei and Barr, R Graham and Beaty, Terri H and Becker, Allan B and Beilby, John and Bisgaard, Hans and Bjornsdottir, Unnur Steina and Bleecker, Eugene and B{\o}nnelykke, Klaus and Boomsma, Dorret I and Bouzigon, Emmanuelle and Brightling, Christopher E and Brossard, Myriam and Brusselle, Guy G and Burchard, Esteban and Burkart, Kristin M and Bush, Andrew and Chan-Yeung, Moira and Chung, Kian Fan and Couto Alves, Alexessander and Curtin, John A and Custovic, Adnan and Daley, Denise and de Jongste, Johan C and Del-Rio-Navarro, Blanca E and Donohue, Kathleen M and Duijts, Liesbeth and Eng, Celeste and Eriksson, Johan G and Farrall, Martin and Fedorova, Yuliya and Feenstra, Bjarke and Ferreira, Manuel A and Freidin, Maxim B and Gajdos, Zofia and Gauderman, Jim and Gehring, Ulrike and Geller, Frank and Genuneit, Jon and Gharib, Sina A and Gilliland, Frank and Granell, Raquel and Graves, Penelope E and Gudbjartsson, Daniel F and Haahtela, Tari and Heckbert, Susan R and Heederik, Dick and Heinrich, Joachim and Heli{\"o}vaara, Markku and Henderson, John and Himes, Blanca E and Hirose, Hiroshi and Hirschhorn, Joel N and Hofman, Albert and Holt, Patrick and Hottenga, Jouke and Hudson, Thomas J and Hui, Jennie and Imboden, Medea and Ivanov, Vladimir and Jaddoe, Vincent W V and James, Alan and Janson, Christer and Jarvelin, Marjo-Riitta and Jarvis, Deborah and Jones, Graham and Jonsdottir, Ingileif and Jousilahti, Pekka and Kabesch, Michael and K{\"a}h{\"o}nen, Mika and Kantor, David B and Karunas, Alexandra S and Khusnutdinova, Elza and Koppelman, Gerard H and Kozyrskyj, Anita L and Kreiner, Eskil and Kubo, Michiaki and Kumar, Rajesh and Kumar, Ashish and Kuokkanen, Mikko and Lahousse, Lies and Laitinen, Tarja and Laprise, Catherine and Lathrop, Mark and Lau, Susanne and Lee, Young-Ae and Lehtim{\"a}ki, Terho and Letort, S{\'e}bastien and Levin, Albert M and Li, Guo and Liang, Liming and Loehr, Laura R and London, Stephanie J and Loth, Daan W and Manichaikul, Ani and Marenholz, Ingo and Martinez, Fernando J and Matheson, Melanie C and Mathias, Rasika A and Matsumoto, Kenji and Mbarek, Hamdi and McArdle, Wendy L and Melbye, Mads and Mel{\'e}n, Erik and Meyers, Deborah and Michel, Sven and Mohamdi, Hamida and Musk, Arthur W and Myers, Rachel A and Nieuwenhuis, Maartje A E and Noguchi, Emiko and O{\textquoteright}Connor, George T and Ogorodova, Ludmila M and Palmer, Cameron D and Palotie, Aarno and Park, Julie E and Pennell, Craig E and Pershagen, G{\"o}ran and Polonikov, Alexey and Postma, Dirkje S and Probst-Hensch, Nicole and Puzyrev, Valery P and Raby, Benjamin A and Raitakari, Olli T and Ramasamy, Adaikalavan and Rich, Stephen S and Robertson, Colin F and Romieu, Isabelle and Salam, Muhammad T and Salomaa, Veikko and Schl{\"u}nssen, Vivi and Scott, Robert and Selivanova, Polina A and Sigsgaard, Torben and Simpson, Angela and Siroux, Val{\'e}rie and Smith, Lewis J and Solodilova, Maria and Standl, Marie and Stefansson, Kari and Strachan, David P and Stricker, Bruno H and Takahashi, Atsushi and Thompson, Philip J and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tiesler, Carla M T and Torgerson, Dara G and Tsunoda, Tatsuhiko and Uitterlinden, Andr{\'e} G and van der Valk, Ralf J P and Vaysse, Amaury and Vedantam, Sailaja and von Berg, Andrea and von Mutius, Erika and Vonk, Judith M and Waage, Johannes and Wareham, Nick J and Weiss, Scott T and White, Wendy B and Wickman, Magnus and Widen, Elisabeth and Willemsen, Gonneke and Williams, L Keoki and Wouters, Inge M and Yang, James J and Zhao, Jing Hua and Moffatt, Miriam F and Ober, Carole and Nicolae, Dan L} } @article {7683, title = {Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes.}, journal = {Nat Genet}, volume = {50}, year = {2018}, month = {2018 Apr}, pages = {524-537}, abstract = {

Stroke has multiple etiologies, but the underlying genes and pathways are largely unknown. We conducted a multiancestry genome-wide-association meta-analysis in 521,612 individuals (67,162 cases and 454,450 controls) and discovered 22 new stroke risk loci, bringing the total to 32. We further found shared genetic variation with related vascular traits, including blood pressure, cardiac traits, and venous thromboembolism, at individual loci (n = 18), and~using genetic risk scores and linkage-disequilibrium-score regression. Several loci exhibited distinct association and pleiotropy patterns for etiological stroke subtypes. Eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets. Stroke risk loci were significantly enriched in drug targets for antithrombotic therapy.

}, issn = {1546-1718}, doi = {10.1038/s41588-018-0058-3}, author = {Malik, Rainer and Chauhan, Ganesh and Traylor, Matthew and Sargurupremraj, Muralidharan and Okada, Yukinori and Mishra, Aniket and Rutten-Jacobs, Loes and Giese, Anne-Katrin and van der Laan, Sander W and Gretarsdottir, Solveig and Anderson, Christopher D and Chong, Michael and Adams, Hieab H H and Ago, Tetsuro and Almgren, Peter and Amouyel, Philippe and Ay, Hakan and Bartz, Traci M and Benavente, Oscar R and Bevan, Steve and Boncoraglio, Giorgio B and Brown, Robert D and Butterworth, Adam S and Carrera, Caty and Carty, Cara L and Chasman, Daniel I and Chen, Wei-Min and Cole, John W and Correa, Adolfo and Cotlarciuc, Ioana and Cruchaga, Carlos and Danesh, John and de Bakker, Paul I W and DeStefano, Anita L and den Hoed, Marcel and Duan, Qing and Engelter, Stefan T and Falcone, Guido J and Gottesman, Rebecca F and Grewal, Raji P and Gudnason, Vilmundur and Gustafsson, Stefan and Haessler, Jeffrey and Harris, Tamara B and Hassan, Ahamad and Havulinna, Aki S and Heckbert, Susan R and Holliday, Elizabeth G and Howard, George and Hsu, Fang-Chi and Hyacinth, Hyacinth I and Ikram, M Arfan and Ingelsson, Erik and Irvin, Marguerite R and Jian, Xueqiu and Jimenez-Conde, Jordi and Johnson, Julie A and Jukema, J Wouter and Kanai, Masahiro and Keene, Keith L and Kissela, Brett M and Kleindorfer, Dawn O and Kooperberg, Charles and Kubo, Michiaki and Lange, Leslie A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lee, Jin-Moo and Lemmens, Robin and Leys, Didier and Lewis, Cathryn M and Lin, Wei-Yu and Lindgren, Arne G and Lorentzen, Erik and Magnusson, Patrik K and Maguire, Jane and Manichaikul, Ani and McArdle, Patrick F and Meschia, James F and Mitchell, Braxton D and Mosley, Thomas H and Nalls, Michael A and Ninomiya, Toshiharu and O{\textquoteright}Donnell, Martin J and Psaty, Bruce M and Pulit, Sara L and Rannikmae, Kristiina and Reiner, Alexander P and Rexrode, Kathryn M and Rice, Kenneth and Rich, Stephen S and Ridker, Paul M and Rost, Natalia S and Rothwell, Peter M and Rotter, Jerome I and Rundek, Tatjana and Sacco, Ralph L and Sakaue, Saori and Sale, Mich{\`e}le M and Salomaa, Veikko and Sapkota, Bishwa R and Schmidt, Reinhold and Schmidt, Carsten O and Schminke, Ulf and Sharma, Pankaj and Slowik, Agnieszka and Sudlow, Cathie L M and Tanislav, Christian and Tatlisumak, Turgut and Taylor, Kent D and Thijs, Vincent N S and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tiedt, Steffen and Trompet, Stella and Tzourio, Christophe and van Duijn, Cornelia M and Walters, Matthew and Wareham, Nicholas J and Wassertheil-Smoller, Sylvia and Wilson, James G and Wiggins, Kerri L and Yang, Qiong and Yusuf, Salim and Bis, Joshua C and Pastinen, Tomi and Ruusalepp, Arno and Schadt, Eric E and Koplev, Simon and Bj{\"o}rkegren, Johan L M and Codoni, Veronica and Civelek, Mete and Smith, Nicholas L and Tr{\'e}gou{\"e}t, David A and Christophersen, Ingrid E and Roselli, Carolina and Lubitz, Steven A and Ellinor, Patrick T and Tai, E Shyong and Kooner, Jaspal S and Kato, Norihiro and He, Jiang and van der Harst, Pim and Elliott, Paul and Chambers, John C and Takeuchi, Fumihiko and Johnson, Andrew D and Sanghera, Dharambir K and Melander, Olle and Jern, Christina and Strbian, Daniel and Fernandez-Cadenas, Israel and Longstreth, W T and Rolfs, Arndt and Hata, Jun and Woo, Daniel and Rosand, Jonathan and Par{\'e}, Guillaume and Hopewell, Jemma C and Saleheen, Danish and Stefansson, Kari and Worrall, Bradford B and Kittner, Steven J and Seshadri, Sudha and Fornage, Myriam and Markus, Hugh S and Howson, Joanna M M and Kamatani, Yoichiro and Debette, Stephanie and Dichgans, Martin and Malik, Rainer and Chauhan, Ganesh and Traylor, Matthew and Sargurupremraj, Muralidharan and Okada, Yukinori and Mishra, Aniket and Rutten-Jacobs, Loes and Giese, Anne-Katrin and van der Laan, Sander W and Gretarsdottir, Solveig and Anderson, Christopher D and Chong, Michael and Adams, Hieab H H and Ago, Tetsuro and Almgren, Peter and Amouyel, Philippe and Ay, Hakan and Bartz, Traci M and Benavente, Oscar R and Bevan, Steve and Boncoraglio, Giorgio B and Brown, Robert D and Butterworth, Adam S and Carrera, Caty and Carty, Cara L and Chasman, Daniel I and Chen, Wei-Min and Cole, John W and Correa, Adolfo and Cotlarciuc, Ioana and Cruchaga, Carlos and Danesh, John and de Bakker, Paul I W and DeStefano, Anita L and Hoed, Marcel den and Duan, Qing and Engelter, Stefan T and Falcone, Guido J and Gottesman, Rebecca F and Grewal, Raji P and Gudnason, Vilmundur and Gustafsson, Stefan and Haessler, Jeffrey and Harris, Tamara B and Hassan, Ahamad and Havulinna, Aki S and Heckbert, Susan R and Holliday, Elizabeth G and Howard, George and Hsu, Fang-Chi and Hyacinth, Hyacinth I and Ikram, M Arfan and Ingelsson, Erik and Irvin, Marguerite R and Jian, Xueqiu and Jimenez-Conde, Jordi and Johnson, Julie A and Jukema, J Wouter and Kanai, Masahiro and Keene, Keith L and Kissela, Brett M and Kleindorfer, Dawn O and Kooperberg, Charles and Kubo, Michiaki and Lange, Leslie A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lee, Jin-Moo and Lemmens, Robin and Leys, Didier and Lewis, Cathryn M and Lin, Wei-Yu and Lindgren, Arne G and Lorentzen, Erik and Magnusson, Patrik K and Maguire, Jane and Manichaikul, Ani and McArdle, Patrick F and Meschia, James F and Mitchell, Braxton D and Mosley, Thomas H and Nalls, Michael A and Ninomiya, Toshiharu and O{\textquoteright}Donnell, Martin J and Psaty, Bruce M and Pulit, Sara L and Rannikmae, Kristiina and Reiner, Alexander P and Rexrode, Kathryn M and Rice, Kenneth and Rich, Stephen S and Ridker, Paul M and Rost, Natalia S and Rothwell, Peter M and Rotter, Jerome I and Rundek, Tatjana and Sacco, Ralph L and Sakaue, Saori and Sale, Mich{\`e}le M and Salomaa, Veikko and Sapkota, Bishwa R and Schmidt, Reinhold and Schmidt, Carsten O and Schminke, Ulf and Sharma, Pankaj and Slowik, Agnieszka and Sudlow, Cathie L M and Tanislav, Christian and Tatlisumak, Turgut and Taylor, Kent D and Thijs, Vincent N S and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tiedt, Steffen and Trompet, Stella and Tzourio, Christophe and van Duijn, Cornelia M and Walters, Matthew and Wareham, Nicholas J and Wassertheil-Smoller, Sylvia and Wilson, James G and Wiggins, Kerri L and Yang, Qiong and Yusuf, Salim and Amin, Najaf and Aparicio, Hugo S and Arnett, Donna K and Attia, John and Beiser, Alexa S and Berr, Claudine and Buring, Julie E and Bustamante, Mariana and Caso, Valeria and Cheng, Yu-Ching and Choi, Seung Hoan and Chowhan, Ayesha and Cullell, Natalia and Dartigues, Jean-Fran{\c c}ois and Delavaran, Hossein and Delgado, Pilar and D{\"o}rr, Marcus and Engstr{\"o}m, Gunnar and Ford, Ian and Gurpreet, Wander S and Hamsten, Anders and Heitsch, Laura and Hozawa, Atsushi and Ibanez, Laura and Ilinca, Andreea and Ingelsson, Martin and Iwasaki, Motoki and Jackson, Rebecca D and Jood, Katarina and Jousilahti, Pekka and Kaffashian, Sara and Kalra, Lalit and Kamouchi, Masahiro and Kitazono, Takanari and Kjartansson, Olafur and Kloss, Manja and Koudstaal, Peter J and Krupinski, Jerzy and Labovitz, Daniel L and Laurie, Cathy C and Levi, Christopher R and Li, Linxin and Lind, Lars and Lindgren, Cecilia M and Lioutas, Vasileios and Liu, Yong Mei and Lopez, Oscar L and Makoto, Hirata and Martinez-Majander, Nicolas and Matsuda, Koichi and Minegishi, Naoko and Montaner, Joan and Morris, Andrew P and Mui{\~n}o, Elena and M{\"u}ller-Nurasyid, Martina and Norrving, Bo and Ogishima, Soichi and Parati, Eugenio A and Peddareddygari, Leema Reddy and Pedersen, Nancy L and Pera, Joanna and Perola, Markus and Pezzini, Alessandro and Pileggi, Silvana and Rabionet, Raquel and Riba-Llena, Iolanda and Ribas{\'e}s, Marta and Romero, Jose R and Roquer, Jaume and Rudd, Anthony G and Sarin, Antti-Pekka and Sarju, Ralhan and Sarnowski, Chloe and Sasaki, Makoto and Satizabal, Claudia L and Satoh, Mamoru and Sattar, Naveed and Sawada, Norie and Sibolt, Gerli and Sigurdsson, {\'A}sgeir and Smith, Albert and Sobue, Kenji and Soriano-T{\'a}rraga, Carolina and Stanne, Tara and Stine, O Colin and Stott, David J and Strauch, Konstantin and Takai, Takako and Tanaka, Hideo and Tanno, Kozo and Teumer, Alexander and Tomppo, Liisa and Torres-Aguila, Nuria P and Touze, Emmanuel and Tsugane, Shoichiro and Uitterlinden, Andr{\'e} G and Valdimarsson, Einar M and van der Lee, Sven J and V{\"o}lzke, Henry and Wakai, Kenji and Weir, David and Williams, Stephen R and Wolfe, Charles D A and Wong, Quenna and Xu, Huichun and Yamaji, Taiki and Sanghera, Dharambir K and Melander, Olle and Jern, Christina and Strbian, Daniel and Fernandez-Cadenas, Israel and Longstreth, W T and Rolfs, Arndt and Hata, Jun and Woo, Daniel and Rosand, Jonathan and Par{\'e}, Guillaume and Hopewell, Jemma C and Saleheen, Danish and Stefansson, Kari and Worrall, Bradford B and Kittner, Steven J and Seshadri, Sudha and Fornage, Myriam and Markus, Hugh S and Howson, Joanna M M and Kamatani, Yoichiro and Debette, Stephanie and Dichgans, Martin} } @article {7811, title = {Multi-ethnic genome-wide association study for atrial fibrillation.}, journal = {Nat Genet}, volume = {50}, year = {2018}, month = {2018 Sep}, pages = {1225-1233}, abstract = {

Atrial fibrillation (AF) affects more than 33 million individuals worldwide and has a complex heritability. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF.

}, issn = {1546-1718}, doi = {10.1038/s41588-018-0133-9}, author = {Roselli, Carolina and Chaffin, Mark D and Weng, Lu-Chen and Aeschbacher, Stefanie and Ahlberg, Gustav and Albert, Christine M and Almgren, Peter and Alonso, Alvaro and Anderson, Christopher D and Aragam, Krishna G and Arking, Dan E and Barnard, John and Bartz, Traci M and Benjamin, Emelia J and Bihlmeyer, Nathan A and Bis, Joshua C and Bloom, Heather L and Boerwinkle, Eric and Bottinger, Erwin B and Brody, Jennifer A and Calkins, Hugh and Campbell, Archie and Cappola, Thomas P and Carlquist, John and Chasman, Daniel I and Chen, Lin Y and Chen, Yii-Der Ida and Choi, Eue-Keun and Choi, Seung Hoan and Christophersen, Ingrid E and Chung, Mina K and Cole, John W and Conen, David and Cook, James and Crijns, Harry J and Cutler, Michael J and Damrauer, Scott M and Daniels, Brian R and Darbar, Dawood and Delgado, Graciela and Denny, Joshua C and Dichgans, Martin and D{\"o}rr, Marcus and Dudink, Elton A and Dudley, Samuel C and Esa, Nada and Esko, T{\~o}nu and Eskola, Markku and Fatkin, Diane and Felix, Stephan B and Ford, Ian and Franco, Oscar H and Geelhoed, Bastiaan and Grewal, Raji P and Gudnason, Vilmundur and Guo, Xiuqing and Gupta, Namrata and Gustafsson, Stefan and Gutmann, Rebecca and Hamsten, Anders and Harris, Tamara B and Hayward, Caroline and Heckbert, Susan R and Hernesniemi, Jussi and Hocking, Lynne J and Hofman, Albert and Horimoto, Andrea R V R and Huang, Jie and Huang, Paul L and Huffman, Jennifer and Ingelsson, Erik and Ipek, Esra Gucuk and Ito, Kaoru and Jimenez-Conde, Jordi and Johnson, Renee and Jukema, J Wouter and K{\"a}{\"a}b, Stefan and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kane, John P and Kastrati, Adnan and Kathiresan, Sekar and Katschnig-Winter, Petra and Kavousi, Maryam and Kessler, Thorsten and Kietselaer, Bas L and Kirchhof, Paulus and Kleber, Marcus E and Knight, Stacey and Krieger, Jose E and Kubo, Michiaki and Launer, Lenore J and Laurikka, Jari and Lehtim{\"a}ki, Terho and Leineweber, Kirsten and Lemaitre, Rozenn N and Li, Man and Lim, Hong Euy and Lin, Henry J and Lin, Honghuang and Lind, Lars and Lindgren, Cecilia M and Lokki, Marja-Liisa and London, Barry and Loos, Ruth J F and Low, Siew-Kee and Lu, Yingchang and Lyytik{\"a}inen, Leo-Pekka and Macfarlane, Peter W and Magnusson, Patrik K and Mahajan, Anubha and Malik, Rainer and Mansur, Alfredo J and Marcus, Gregory M and Margolin, Lauren and Margulies, Kenneth B and M{\"a}rz, Winfried and McManus, David D and Melander, Olle and Mohanty, Sanghamitra and Montgomery, Jay A and Morley, Michael P and Morris, Andrew P and M{\"u}ller-Nurasyid, Martina and Natale, Andrea and Nazarian, Saman and Neumann, Benjamin and Newton-Cheh, Christopher and Niemeijer, Maartje N and Nikus, Kjell and Nilsson, Peter and Noordam, Raymond and Oellers, Heidi and Olesen, Morten S and Orho-Melander, Marju and Padmanabhan, Sandosh and Pak, Hui-Nam and Par{\'e}, Guillaume and Pedersen, Nancy L and Pera, Joanna and Pereira, Alexandre and Porteous, David and Psaty, Bruce M and Pulit, Sara L and Pullinger, Clive R and Rader, Daniel J and Refsgaard, Lena and Ribas{\'e}s, Marta and Ridker, Paul M and Rienstra, Michiel and Risch, Lorenz and Roden, Dan M and Rosand, Jonathan and Rosenberg, Michael A and Rost, Natalia and Rotter, Jerome I and Saba, Samir and Sandhu, Roopinder K and Schnabel, Renate B and Schramm, Katharina and Schunkert, Heribert and Schurman, Claudia and Scott, Stuart A and Sepp{\"a}l{\"a}, Ilkka and Shaffer, Christian and Shah, Svati and Shalaby, Alaa A and Shim, Jaemin and Shoemaker, M Benjamin and Siland, Joylene E and Sinisalo, Juha and Sinner, Moritz F and Slowik, Agnieszka and Smith, Albert V and Smith, Blair H and Smith, J Gustav and Smith, Jonathan D and Smith, Nicholas L and Soliman, Elsayed Z and Sotoodehnia, Nona and Stricker, Bruno H and Sun, Albert and Sun, Han and Svendsen, Jesper H and Tanaka, Toshihiro and Tanriverdi, Kahraman and Taylor, Kent D and Teder-Laving, Maris and Teumer, Alexander and Th{\'e}riault, S{\'e}bastien and Trompet, Stella and Tucker, Nathan R and Tveit, Arnljot and Uitterlinden, Andr{\'e} G and van der Harst, Pim and Van Gelder, Isabelle C and Van Wagoner, David R and Verweij, Niek and Vlachopoulou, Efthymia and V{\"o}lker, Uwe and Wang, Biqi and Weeke, Peter E and Weijs, Bob and Weiss, Raul and Weiss, Stefan and Wells, Quinn S and Wiggins, Kerri L and Wong, Jorge A and Woo, Daniel and Worrall, Bradford B and Yang, Pil-Sung and Yao, Jie and Yoneda, Zachary T and Zeller, Tanja and Zeng, Lingyao and Lubitz, Steven A and Lunetta, Kathryn L and Ellinor, Patrick T} } @article {7819, title = {Multiethnic meta-analysis identifies ancestry-specific and cross-ancestry loci for pulmonary function.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 Jul 30}, pages = {2976}, abstract = {

Nearly 100 loci have been identified for pulmonary function, almost exclusively in studies of European ancestry populations. We extend previous research by meta-analyzing genome-wide association studies of 1000 Genomes imputed variants in relation to pulmonary function in a multiethnic population of 90,715 individuals of European (N = 60,552), African (N = 8429), Asian (N = 9959), and Hispanic/Latino (N = 11,775) ethnicities. We identify over 50 additional loci at genome-wide significance in ancestry-specific or multiethnic meta-analyses. Using recent fine-mapping methods incorporating functional annotation, gene expression, and differences in linkage disequilibrium between ethnicities, we further shed light on potential causal variants and genes at known and newly identified loci. Several of the novel genes encode proteins with predicted or established drug targets, including KCNK2 and CDK12. Our study highlights the utility of multiethnic and integrative genomics approaches to extend existing knowledge of the genetics of lung function and clinical relevance of implicated loci.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-05369-0}, author = {Wyss, Annah B and Sofer, Tamar and Lee, Mi Kyeong and Terzikhan, Natalie and Nguyen, Jennifer N and Lahousse, Lies and Latourelle, Jeanne C and Smith, Albert Vernon and Bartz, Traci M and Feitosa, Mary F and Gao, Wei and Ahluwalia, Tarunveer S and Tang, Wenbo and Oldmeadow, Christopher and Duan, Qing and de Jong, Kim and Wojczynski, Mary K and Wang, Xin-Qun and Noordam, Raymond and Hartwig, Fernando Pires and Jackson, Victoria E and Wang, Tianyuan and Obeidat, Ma{\textquoteright}en and Hobbs, Brian D and Huan, Tianxiao and Gui, Hongsheng and Parker, Margaret M and Hu, Donglei and Mogil, Lauren S and Kichaev, Gleb and Jin, Jianping and Graff, Mariaelisa and Harris, Tamara B and Kalhan, Ravi and Heckbert, Susan R and Paternoster, Lavinia and Burkart, Kristin M and Liu, Yongmei and Holliday, Elizabeth G and Wilson, James G and Vonk, Judith M and Sanders, Jason L and Barr, R Graham and de Mutsert, Ren{\'e}e and Menezes, Ana Maria Baptista and Adams, Hieab H H and van den Berge, Maarten and Joehanes, Roby and Levin, Albert M and Liberto, Jennifer and Launer, Lenore J and Morrison, Alanna C and Sitlani, Colleen M and Celed{\'o}n, Juan C and Kritchevsky, Stephen B and Scott, Rodney J and Christensen, Kaare and Rotter, Jerome I and Bonten, Tobias N and Wehrmeister, Fernando C{\'e}sar and Boss{\'e}, Yohan and Xiao, Shujie and Oh, Sam and Franceschini, Nora and Brody, Jennifer A and Kaplan, Robert C and Lohman, Kurt and McEvoy, Mark and Province, Michael A and Rosendaal, Frits R and Taylor, Kent D and Nickle, David C and Williams, L Keoki and Burchard, Esteban G and Wheeler, Heather E and Sin, Don D and Gudnason, Vilmundur and North, Kari E and Fornage, Myriam and Psaty, Bruce M and Myers, Richard H and O{\textquoteright}Connor, George and Hansen, Torben and Laurie, Cathy C and Cassano, Patricia A and Sung, Joohon and Kim, Woo Jin and Attia, John R and Lange, Leslie and Boezen, H Marike and Thyagarajan, Bharat and Rich, Stephen S and Mook-Kanamori, Dennis O and Horta, Bernardo Lessa and Uitterlinden, Andr{\'e} G and Im, Hae Kyung and Cho, Michael H and Brusselle, Guy G and Gharib, Sina A and Dupuis, Jos{\'e}e and Manichaikul, Ani and London, Stephanie J} } @article {7792, title = {Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.}, journal = {PLoS One}, volume = {13}, year = {2018}, month = {2018}, pages = {e0198166}, abstract = {

Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0198166}, author = {Feitosa, Mary F and Kraja, Aldi T and Chasman, Daniel I and Sung, Yun J and Winkler, Thomas W and Ntalla, Ioanna and Guo, Xiuqing and Franceschini, Nora and Cheng, Ching-Yu and Sim, Xueling and Vojinovic, Dina and Marten, Jonathan and Musani, Solomon K and Li, Changwei and Bentley, Amy R and Brown, Michael R and Schwander, Karen and Richard, Melissa A and Noordam, Raymond and Aschard, Hugues and Bartz, Traci M and Bielak, Lawrence F and Dorajoo, Rajkumar and Fisher, Virginia and Hartwig, Fernando P and Horimoto, Andrea R V R and Lohman, Kurt K and Manning, Alisa K and Rankinen, Tuomo and Smith, Albert V and Tajuddin, Salman M and Wojczynski, Mary K and Alver, Maris and Boissel, Mathilde and Cai, Qiuyin and Campbell, Archie and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Gao, Chuan and Goel, Anuj and Hagemeijer, Yanick and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Jackson, Anne U and K{\"a}h{\"o}nen, Mika and Kasturiratne, Anuradhani and Komulainen, Pirjo and Kuhnel, Brigitte and Laguzzi, Federica and Luan, Jian{\textquoteright}an and Matoba, Nana and Nolte, Ilja M and Padmanabhan, Sandosh and Riaz, Muhammad and Rueedi, Rico and Robino, Antonietta and Said, M Abdullah and Scott, Robert A and Sofer, Tamar and Stan{\v c}{\'a}kov{\'a}, Alena and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Varga, Tibor V and Vitart, Veronique and Wang, Yajuan and Ware, Erin B and Warren, Helen R and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Zhang, Weihua and Zhao, Jing Hua and Afaq, Saima and Amin, Najaf and Amini, Marzyeh and Arking, Dan E and Aung, Tin and Boerwinkle, Eric and Borecki, Ingrid and Broeckel, Ulrich and Brown, Morris and Brumat, Marco and Burke, Gregory L and Canouil, Micka{\"e}l and Chakravarti, Aravinda and Charumathi, Sabanayagam and Ida Chen, Yii-Der and Connell, John M and Correa, Adolfo and de Las Fuentes, Lisa and de Mutsert, Ren{\'e}e and de Silva, H Janaka and Deng, Xuan and Ding, Jingzhong and Duan, Qing and Eaton, Charles B and Ehret, Georg and Eppinga, Ruben N and Evangelou, Evangelos and Faul, Jessica D and Felix, Stephan B and Forouhi, Nita G and Forrester, Terrence and Franco, Oscar H and Friedlander, Yechiel and Gandin, Ilaria and Gao, He and Ghanbari, Mohsen and Gigante, Bruna and Gu, C Charles and Gu, Dongfeng and Hagenaars, Saskia P and Hallmans, G{\"o}ran and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hirata, Makoto and Howard, Barbara V and Ikram, M Arfan and John, Ulrich and Katsuya, Tomohiro and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Krieger, Jose E and Kritchevsky, Stephen B and Kubo, Michiaki and Kuusisto, Johanna and Lakka, Timo A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lehne, Benjamin and Lewis, Cora E and Li, Yize and Lin, Shiow and Liu, Jianjun and Liu, Jingmin and Loh, Marie and Louie, Tin and M{\"a}gi, Reedik and McKenzie, Colin A and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Milani, Lili and Mohlke, Karen L and Momozawa, Yukihide and Nalls, Mike A and Nelson, Christopher P and Sotoodehnia, Nona and Norris, Jill M and O{\textquoteright}Connell, Jeff R and Palmer, Nicholette D and Perls, Thomas and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Poulter, Neil and Raffel, Leslie J and Raitakari, Olli T and Roll, Kathryn and Rose, Lynda M and Rosendaal, Frits R and Rotter, Jerome I and Schmidt, Carsten O and Schreiner, Pamela J and Schupf, Nicole and Scott, William R and Sever, Peter S and Shi, Yuan and Sidney, Stephen and Sims, Mario and Sitlani, Colleen M and Smith, Jennifer A and Snieder, Harold and Starr, John M and Strauch, Konstantin and Stringham, Heather M and Tan, Nicholas Y Q and Tang, Hua and Taylor, Kent D and Teo, Yik Ying and Tham, Yih Chung and Turner, Stephen T and Uitterlinden, Andr{\'e} G and Vollenweider, Peter and Waldenberger, Melanie and Wang, Lihua and Wang, Ya Xing and Wei, Wen Bin and Williams, Christine and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and Chambers, John C and Deary, Ian J and Esko, T{\~o}nu and Farrall, Martin and Franks, Paul W and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Jonas, Jost Bruno and Kamatani, Yoichiro and Kato, Norihiro and Kooner, Jaspal S and Kutalik, Zolt{\'a}n and Laakso, Markku and Laurie, Cathy C and Leander, Karin and Lehtim{\"a}ki, Terho and Study, Lifelines Cohort and Magnusson, Patrik K E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Polasek, Ozren and Porteous, David J and Rauramaa, Rainer and Samani, Nilesh J and Scott, James and Shu, Xiao-Ou and van der Harst, Pim and Wagenknecht, Lynne E and Wareham, Nicholas J and Watkins, Hugh and Weir, David R and Wickremasinghe, Ananda R and Wu, Tangchun and Zheng, Wei and Bouchard, Claude and Christensen, Kaare and Evans, Michele K and Gudnason, Vilmundur and Horta, Bernardo L and Kardia, Sharon L R and Liu, Yongmei and Pereira, Alexandre C and Psaty, Bruce M and Ridker, Paul M and van Dam, Rob M and Gauderman, W James and Zhu, Xiaofeng and Mook-Kanamori, Dennis O and Fornage, Myriam and Rotimi, Charles N and Cupples, L Adrienne and Kelly, Tanika N and Fox, Ervin R and Hayward, Caroline and van Duijn, Cornelia M and Tai, E Shyong and Wong, Tien Yin and Kooperberg, Charles and Palmas, Walter and Rice, Kenneth and Morrison, Alanna C and Elliott, Paul and Caulfield, Mark J and Munroe, Patricia B and Rao, Dabeeru C and Province, Michael A and Levy, Daniel} } @article {7776, title = {Omega-3 Fatty Acids and Genome-wide Interaction Analyses Reveal DPP10-Pulmonary Function Association.}, journal = {Am J Respir Crit Care Med}, year = {2018}, month = {2018 Sep 10}, abstract = {

RATIONALE: Omega-3 poly-unsaturated fatty acids (n-3 PUFAs) have anti-inflammatory properties that could benefit adults with comprised pulmonary health.

OBJECTIVE: To investigate n-3 PUFA associations with spirometric measures of pulmonary function tests (PFTs) and determine underlying genetic susceptibility.

METHODS: Associations of n-3 PUFA biomarkers (alpha-linolenic acid, eicosapentaenoic acid, docosapentaenoic acid [DPA], and docosahexaenoic acid [DHA]) were evaluated with PFTs (forced expiratory volume in the first second [FEV], forced vital capacity [FVC], and [FEV/FVC]) in meta-analyses across seven cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (N=16,134 of European or African ancestry). PFT-associated n-3 PUFAs were carried forward to genome-wide interaction analyses in the four largest cohorts (N=11,962) and replicated in one cohort (N=1,687). Cohort-specific results were combined using joint 2 degree-of-freedom (2df) meta-analyses of single nucleotide polymorphism (SNP) associations and their interactions with n-3 PUFAs.

RESULTS: DPA and DHA were positively associated with FEV1 and FVC (P<0.025), with evidence for effect modification by smoking and by sex. Genome-wide analyses identified a novel association of rs11693320-an intronic DPP10 SNP-with FVC when incorporating an interaction with DHA, and the finding was replicated (P=9.4{\texttimes}10 across discovery and replication cohorts). The rs11693320-A allele (frequency~80\%) was associated with lower FVC (P=2.1{\texttimes}10; β= -161.0mL), and the association was attenuated by higher DHA levels (P=2.1{\texttimes}10; β=36.2mL).

CONCLUSIONS: We corroborated beneficial effects of n-3 PUFAs on pulmonary function. By modeling genome-wide n-3 PUFA interactions, we identified a novel DPP10 SNP association with FVC that was not detectable in much larger studies ignoring this interaction.

}, issn = {1535-4970}, doi = {10.1164/rccm.201802-0304OC}, author = {Xu, Jiayi and Gaddis, Nathan C and Bartz, Traci M and Hou, Ruixue and Manichaikul, Ani W and Pankratz, Nathan and Smith, Albert V and Sun, Fangui and Terzikhan, Natalie and Markunas, Christina A and Patchen, Bonnie K and Schu, Matthew and Beydoun, May A and Brusselle, Guy G and Eiriksdottir, Gudny and Zhou, Xia and Wood, Alexis C and Graff, Mariaelisa and Harris, Tamara B and Ikram, M Arfan and Jacobs, David R and Launer, Lenore J and Lemaitre, Rozenn N and O{\textquoteright}Connor, George and Oelsner, Elizabeth C and Psaty, Bruce M and Ramachandran, Vasan S and Rohde, Rebecca R and Rich, Stephen S and Rotter, Jerome I and Seshadri, Sudha and Smith, Lewis J and Tiemeier, Henning and Tsai, Michael Y and Uitterlinden, Andr{\'e} G and Voruganti, V Saroja and Xu, Hanfei and Zilh{\~a}o, Nuno R and Fornage, Myriam and Zillikens, M Carola and London, Stephanie J and Barr, R Graham and Dupuis, Jos{\'e}e and Gharib, Sina A and Gudnason, Vilmundur and Lahousse, Lies and North, Kari E and Steffen, Lyn M and Cassano, Patricia A and Hancock, Dana B} } @article {7663, title = {Outdoor air pollution and mosaic loss of chromosome Y in older men from the Cardiovascular Health Study.}, journal = {Environ Int}, volume = {116}, year = {2018}, month = {2018 Apr 23}, pages = {239-247}, abstract = {

BACKGROUND: Mosaic loss of chromosome Y (mLOY) can occur in a fraction of cells as men age, which is potentially linked to increased mortality risk. Smoking is related to mLOY; however, the contribution of air pollution is unclear.

OBJECTIVE: We investigated whether exposure to outdoor air pollution, age, and smoking were associated with mLOY.

METHODS: We analyzed baseline (1989-1993) blood samples from 933 men >=65 years of age from the prospective Cardiovascular Health Study. Particulate matter <=10 μm (PM), carbon monoxide, nitrogen dioxide, sulfur dioxide, and ozone data were obtained from the U.S. EPA Aerometric Information Retrieval System for the year prior to baseline. Inverse-distance weighted air monitor data were used to estimate each participants{\textquoteright} monthly residential exposure. mLOY was detected with standard methods using signal intensity (median log-R ratio (mLRR)) of the male-specific chromosome Y regions from Illumina array data. Linear regression models were used to evaluate relations between mean exposure in the prior year, age, smoking and continuous mLRR.

RESULTS: Increased PM was associated with mLOY, namely decreased mLRR (p-trend = 0.03). Compared with the lowest tertile (<=28.5 μg/m), the middle (28.5-31.0 μg/m; β = -0.0044, p = 0.09) and highest (>=31 μg/m; β = -0.0054, p = 0.04) tertiles had decreased mLRR, adjusted for age, clinic, race/cohort, smoking status and pack-years. Additionally, increasing age (β = -0.00035, p = 0.06) and smoking pack-years (β = -0.00011, p = 1.4E-3) were associated with decreased mLRR, adjusted for each other and race/cohort. No significant associations were found for other pollutants.

CONCLUSIONS: PM may increase leukocyte mLOY, a marker of genomic instability. The sample size was modest and replication is warranted.

}, issn = {1873-6750}, doi = {10.1016/j.envint.2018.04.030}, author = {Wong, Jason Y Y and Margolis, Helene G and Machiela, Mitchell and Zhou, Weiyin and Odden, Michelle C and Psaty, Bruce M and Robbins, John and Jones, Rena R and Rotter, Jerome I and Chanock, Stephen J and Rothman, Nathaniel and Lan, Qing and Lee, Jennifer S} } @article {7846, title = {Predictive value for cardiovascular events of common carotid intima media thickness and its rate of change in individuals at high cardiovascular risk - Results from the PROG-IMT collaboration.}, journal = {PLoS One}, volume = {13}, year = {2018}, month = {2018}, pages = {e0191172}, abstract = {

AIMS: Carotid intima media thickness (CIMT) predicts cardiovascular (CVD) events, but the predictive value of CIMT change is debated. We assessed the relation between CIMT change and events in individuals at high cardiovascular risk.

METHODS AND RESULTS: From 31 cohorts with two CIMT scans (total n = 89070) on average 3.6 years apart and clinical follow-up, subcohorts were drawn: (A) individuals with at least 3 cardiovascular risk factors without previous CVD events, (B) individuals with carotid plaques without previous CVD events, and (C) individuals with previous CVD events. Cox regression models were fit to estimate the hazard ratio (HR) of the combined endpoint (myocardial infarction, stroke or vascular death) per standard deviation (SD) of CIMT change, adjusted for CVD risk factors. These HRs were pooled across studies. In groups A, B and C we observed 3483, 2845 and 1165 endpoint events, respectively. Average common CIMT was 0.79mm (SD 0.16mm), and annual common CIMT change was 0.01mm (SD 0.07mm), both in group A. The pooled HR per SD of annual common CIMT change (0.02 to 0.43mm) was 0.99 (95\% confidence interval: 0.95-1.02) in group A, 0.98 (0.93-1.04) in group B, and 0.95 (0.89-1.04) in group C. The HR per SD of common CIMT (average of the first and the second CIMT scan, 0.09 to 0.75mm) was 1.15 (1.07-1.23) in group A, 1.13 (1.05-1.22) in group B, and 1.12 (1.05-1.20) in group C.

CONCLUSIONS: We confirm that common CIMT is associated with future CVD events in individuals at high risk. CIMT change does not relate to future event risk in high-risk individuals.

}, keywords = {Aged, Cardiovascular Diseases, Carotid Intima-Media Thickness, Female, Humans, Intersectoral Collaboration, Male, Middle Aged, Prognosis, Risk Factors}, issn = {1932-6203}, doi = {10.1371/journal.pone.0191172}, author = {Lorenz, Matthias W and Gao, Lu and Ziegelbauer, Kathrin and Norata, Giuseppe Danilo and Empana, Jean Philippe and Schmidtmann, Irene and Lin, Hung-Ju and McLachlan, Stela and Bokemark, Lena and Ronkainen, Kimmo and Amato, Mauro and Schminke, Ulf and Srinivasan, Sathanur R and Lind, Lars and Okazaki, Shuhei and Stehouwer, Coen D A and Willeit, Peter and Polak, Joseph F and Steinmetz, Helmuth and Sander, Dirk and Poppert, Holger and Desvarieux, Mo{\"\i}se and Ikram, M Arfan and Johnsen, Stein Harald and Staub, Daniel and Sirtori, Cesare R and Iglseder, Bernhard and Beloqui, Oscar and Engstr{\"o}m, Gunnar and Friera, Alfonso and Rozza, Francesco and Xie, Wuxiang and Parraga, Grace and Grigore, Liliana and Plichart, Matthieu and Blankenberg, Stefan and Su, Ta-Chen and Schmidt, Caroline and Tuomainen, Tomi-Pekka and Veglia, Fabrizio and V{\"o}lzke, Henry and Nijpels, Giel and Willeit, Johann and Sacco, Ralph L and Franco, Oscar H and Uthoff, Heiko and Hedblad, Bo and Suarez, Carmen and Izzo, Raffaele and Zhao, Dong and Wannarong, Thapat and Catapano, Alberico and Ducimetiere, Pierre and Espinola-Klein, Christine and Chien, Kuo-Liong and Price, Jackie F and Bergstr{\"o}m, G{\"o}ran and Kauhanen, Jussi and Tremoli, Elena and D{\"o}rr, Marcus and Berenson, Gerald and Kitagawa, Kazuo and Dekker, Jacqueline M and Kiechl, Stefan and Sitzer, Matthias and Bickel, Horst and Rundek, Tatjana and Hofman, Albert and Mathiesen, Ellisiv B and Castelnuovo, Samuela and Landecho, Manuel F and Rosvall, Maria and Gabriel, Rafael and de Luca, Nicola and Liu, Jing and Baldassarre, Damiano and Kavousi, Maryam and de Groot, Eric and Bots, Michiel L and Yanez, David N and Thompson, Simon G} } @article {7668, title = {Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.}, journal = {Nat Genet}, volume = {50}, year = {2018}, month = {2018 Apr}, pages = {559-571}, abstract = {

We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 {\texttimes} 10); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio <=1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent {\textquoteright}false leads{\textquoteright} with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.

}, issn = {1546-1718}, doi = {10.1038/s41588-018-0084-1}, author = {Mahajan, Anubha and Wessel, Jennifer and Willems, Sara M and Zhao, Wei and Robertson, Neil R and Chu, Audrey Y and Gan, Wei and Kitajima, Hidetoshi and Taliun, Daniel and Rayner, N William and Guo, Xiuqing and Lu, Yingchang and Li, Man and Jensen, Richard A and Hu, Yao and Huo, Shaofeng and Lohman, Kurt K and Zhang, Weihua and Cook, James P and Prins, Bram Peter and Flannick, Jason and Grarup, Niels and Trubetskoy, Vassily Vladimirovich and Kravic, Jasmina and Kim, Young Jin and Rybin, Denis V and Yaghootkar, Hanieh and M{\"u}ller-Nurasyid, Martina and Meidtner, Karina and Li-Gao, Ruifang and Varga, Tibor V and Marten, Jonathan and Li, Jin and Smith, Albert Vernon and An, Ping and Ligthart, Symen and Gustafsson, Stefan and Malerba, Giovanni and Demirkan, Ayse and Tajes, Juan Fernandez and Steinthorsdottir, Valgerdur and Wuttke, Matthias and Lecoeur, C{\'e}cile and Preuss, Michael and Bielak, Lawrence F and Graff, Marielisa and Highland, Heather M and Justice, Anne E and Liu, Dajiang J and Marouli, Eirini and Peloso, Gina Marie and Warren, Helen R and Afaq, Saima and Afzal, Shoaib and Ahlqvist, Emma and Almgren, Peter and Amin, Najaf and Bang, Lia B and Bertoni, Alain G and Bombieri, Cristina and Bork-Jensen, Jette and Brandslund, Ivan and Brody, Jennifer A and Burtt, Noel P and Canouil, Micka{\"e}l and Chen, Yii-Der Ida and Cho, Yoon Shin and Christensen, Cramer and Eastwood, Sophie V and Eckardt, Kai-Uwe and Fischer, Krista and Gambaro, Giovanni and Giedraitis, Vilmantas and Grove, Megan L and de Haan, Hugoline G and Hackinger, Sophie and Hai, Yang and Han, Sohee and Tybj{\ae}rg-Hansen, Anne and Hivert, Marie-France and Isomaa, Bo and J{\"a}ger, Susanne and J{\o}rgensen, Marit E and J{\o}rgensen, Torben and K{\"a}r{\"a}j{\"a}m{\"a}ki, AnneMari and Kim, Bong-Jo and Kim, Sung Soo and Koistinen, Heikki A and Kovacs, Peter and Kriebel, Jennifer and Kronenberg, Florian and L{\"a}ll, Kristi and Lange, Leslie A and Lee, Jung-Jin and Lehne, Benjamin and Li, Huaixing and Lin, Keng-Hung and Linneberg, Allan and Liu, Ching-Ti and Liu, Jun and Loh, Marie and M{\"a}gi, Reedik and Mamakou, Vasiliki and McKean-Cowdin, Roberta and Nadkarni, Girish and Neville, Matt and Nielsen, Sune F and Ntalla, Ioanna and Peyser, Patricia A and Rathmann, Wolfgang and Rice, Kenneth and Rich, Stephen S and Rode, Line and Rolandsson, Olov and Sch{\"o}nherr, Sebastian and Selvin, Elizabeth and Small, Kerrin S and Stan{\v c}{\'a}kov{\'a}, Alena and Surendran, Praveen and Taylor, Kent D and Teslovich, Tanya M and Thorand, Barbara and Thorleifsson, Gudmar and Tin, Adrienne and T{\"o}njes, Anke and Varbo, Anette and Witte, Daniel R and Wood, Andrew R and Yajnik, Pranav and Yao, Jie and Yengo, Loic and Young, Robin and Amouyel, Philippe and Boeing, Heiner and Boerwinkle, Eric and Bottinger, Erwin P and Chowdhury, Rajiv and Collins, Francis S and Dedoussis, George and Dehghan, Abbas and Deloukas, Panos and Ferrario, Marco M and Ferrieres, Jean and Florez, Jose C and Frossard, Philippe and Gudnason, Vilmundur and Harris, Tamara B and Heckbert, Susan R and Howson, Joanna M M and Ingelsson, Martin and Kathiresan, Sekar and Kee, Frank and Kuusisto, Johanna and Langenberg, Claudia and Launer, Lenore J and Lindgren, Cecilia M and M{\"a}nnist{\"o}, Satu and Meitinger, Thomas and Melander, Olle and Mohlke, Karen L and Moitry, Marie and Morris, Andrew D and Murray, Alison D and de Mutsert, Ren{\'e}e and Orho-Melander, Marju and Owen, Katharine R and Perola, Markus and Peters, Annette and Province, Michael A and Rasheed, Asif and Ridker, Paul M and Rivadineira, Fernando and Rosendaal, Frits R and Rosengren, Anders H and Salomaa, Veikko and Sheu, Wayne H-H and Sladek, Rob and Smith, Blair H and Strauch, Konstantin and Uitterlinden, Andr{\'e} G and Varma, Rohit and Willer, Cristen J and Bl{\"u}her, Matthias and Butterworth, Adam S and Chambers, John Campbell and Chasman, Daniel I and Danesh, John and van Duijn, Cornelia and Dupuis, Jos{\'e}e and Franco, Oscar H and Franks, Paul W and Froguel, Philippe and Grallert, Harald and Groop, Leif and Han, Bok-Ghee and Hansen, Torben and Hattersley, Andrew T and Hayward, Caroline and Ingelsson, Erik and Kardia, Sharon L R and Karpe, Fredrik and Kooner, Jaspal Singh and K{\"o}ttgen, Anna and Kuulasmaa, Kari and Laakso, Markku and Lin, Xu and Lind, Lars and Liu, Yongmei and Loos, Ruth J F and Marchini, Jonathan and Metspalu, Andres and Mook-Kanamori, Dennis and Nordestgaard, B{\o}rge G and Palmer, Colin N A and Pankow, James S and Pedersen, Oluf and Psaty, Bruce M and Rauramaa, Rainer and Sattar, Naveed and Schulze, Matthias B and Soranzo, Nicole and Spector, Timothy D and Stefansson, Kari and Stumvoll, Michael and Thorsteinsdottir, Unnur and Tuomi, Tiinamaija and Tuomilehto, Jaakko and Wareham, Nicholas J and Wilson, James G and Zeggini, Eleftheria and Scott, Robert A and Barroso, In{\^e}s and Frayling, Timothy M and Goodarzi, Mark O and Meigs, James B and Boehnke, Michael and Saleheen, Danish and Morris, Andrew P and Rotter, Jerome I and McCarthy, Mark I} } @article {7664, title = {Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies.}, journal = {Lancet}, volume = {391}, year = {2018}, month = {2018 04 14}, pages = {1513-1523}, abstract = {

BACKGROUND: Low-risk limits recommended for alcohol consumption vary substantially across different national guidelines. To define thresholds associated with lowest risk for all-cause mortality and cardiovascular disease, we studied individual-participant data from 599 912 current drinkers without previous cardiovascular disease.

METHODS: We did a combined analysis of individual-participant data from three large-scale data sources in 19 high-income countries (the Emerging Risk Factors Collaboration, EPIC-CVD, and the UK Biobank). We characterised dose-response associations and calculated hazard ratios (HRs) per 100 g per week of alcohol (12{\textperiodcentered}5 units per week) across 83 prospective studies, adjusting at least for study or centre, age, sex, smoking, and diabetes. To be eligible for the analysis, participants had to have information recorded about their alcohol consumption amount and status (ie, non-drinker vs current drinker), plus age, sex, history of diabetes and smoking status, at least 1 year of follow-up after baseline, and no baseline history of cardiovascular disease. The main analyses focused on current drinkers, whose baseline alcohol consumption was categorised into eight predefined groups according to the amount in grams consumed per week. We assessed alcohol consumption in relation to all-cause mortality, total cardiovascular disease, and several cardiovascular disease subtypes. We corrected HRs for estimated long-term variability in alcohol consumption using 152 640 serial alcohol assessments obtained some years apart (median interval 5{\textperiodcentered}6 years [5th-95th percentile 1{\textperiodcentered}04-13{\textperiodcentered}5]) from 71 011 participants from 37 studies.

FINDINGS: In the 599 912 current drinkers included in the analysis, we recorded 40 310 deaths and 39 018 incident cardiovascular disease events during 5{\textperiodcentered}4 million person-years of follow-up. For all-cause mortality, we recorded a positive and curvilinear association with the level of alcohol consumption, with the minimum mortality risk around or below 100 g per week. Alcohol consumption was roughly linearly associated with a higher risk of stroke (HR per 100 g per week higher consumption 1{\textperiodcentered}14, 95\% CI, 1{\textperiodcentered}10-1{\textperiodcentered}17), coronary disease excluding myocardial infarction (1{\textperiodcentered}06, 1{\textperiodcentered}00-1{\textperiodcentered}11), heart failure (1{\textperiodcentered}09, 1{\textperiodcentered}03-1{\textperiodcentered}15), fatal hypertensive disease (1{\textperiodcentered}24, 1{\textperiodcentered}15-1{\textperiodcentered}33); and fatal aortic aneurysm (1{\textperiodcentered}15, 1{\textperiodcentered}03-1{\textperiodcentered}28). By contrast, increased alcohol consumption was log-linearly associated with a lower risk of myocardial infarction (HR 0{\textperiodcentered}94, 0{\textperiodcentered}91-0{\textperiodcentered}97). In comparison to those who reported drinking >0-<=100 g per week, those who reported drinking >100-<=200 g per week, >200-<=350 g per week, or >350 g per week had lower life expectancy at age 40 years of approximately 6 months, 1-2 years, or 4-5 years, respectively.

INTERPRETATION: In current drinkers of alcohol in high-income countries, the threshold for lowest risk of all-cause mortality was about 100 g/week. For cardiovascular disease subtypes other than myocardial infarction, there were no clear risk thresholds below which lower alcohol consumption stopped being associated with lower disease risk. These data support limits for alcohol consumption that are lower than those recommended in most current guidelines.

FUNDING: UK Medical Research Council, British Heart Foundation, National Institute for Health Research, European Union Framework 7, and European Research Council.

}, issn = {1474-547X}, doi = {10.1016/S0140-6736(18)30134-X}, author = {Wood, Angela M and Kaptoge, Stephen and Butterworth, Adam S and Willeit, Peter and Warnakula, Samantha and Bolton, Thomas and Paige, Ellie and Paul, Dirk S and Sweeting, Michael and Burgess, Stephen and Bell, Steven and Astle, William and Stevens, David and Koulman, Albert and Selmer, Randi M and Verschuren, W M Monique and Sato, Shinichi and Nj{\o}lstad, Inger and Woodward, Mark and Salomaa, Veikko and Nordestgaard, B{\o}rge G and Yeap, Bu B and Fletcher, Astrid and Melander, Olle and Kuller, Lewis H and Balkau, Beverley and Marmot, Michael and Koenig, Wolfgang and Casiglia, Edoardo and Cooper, Cyrus and Arndt, Volker and Franco, Oscar H and Wennberg, Patrik and Gallacher, John and de la C{\'a}mara, Agustin G{\'o}mez and V{\"o}lzke, Henry and Dahm, Christina C and Dale, Caroline E and Bergmann, Manuela M and Crespo, Carlos J and van der Schouw, Yvonne T and Kaaks, Rudolf and Simons, Leon A and Lagiou, Pagona and Schoufour, Josje D and Boer, Jolanda M A and Key, Timothy J and Rodriguez, Beatriz and Moreno-Iribas, Conchi and Davidson, Karina W and Taylor, James O and Sacerdote, Carlotta and Wallace, Robert B and Quiros, J Ramon and Tumino, Rosario and Blazer, Dan G and Linneberg, Allan and Daimon, Makoto and Panico, Salvatore and Howard, Barbara and Skeie, Guri and Strandberg, Timo and Weiderpass, Elisabete and Nietert, Paul J and Psaty, Bruce M and Kromhout, Daan and Salamanca-Fernandez, Elena and Kiechl, Stefan and Krumholz, Harlan M and Grioni, Sara and Palli, Domenico and Huerta, Jos{\'e} M and Price, Jackie and Sundstr{\"o}m, Johan and Arriola, Larraitz and Arima, Hisatomi and Travis, Ruth C and Panagiotakos, Demosthenes B and Karakatsani, Anna and Trichopoulou, Antonia and K{\"u}hn, Tilman and Grobbee, Diederick E and Barrett-Connor, Elizabeth and van Schoor, Natasja and Boeing, Heiner and Overvad, Kim and Kauhanen, Jussi and Wareham, Nick and Langenberg, Claudia and Forouhi, Nita and Wennberg, Maria and Despr{\'e}s, Jean-Pierre and Cushman, Mary and Cooper, Jackie A and Rodriguez, Carlos J and Sakurai, Masaru and Shaw, Jonathan E and Knuiman, Matthew and Voortman, Trudy and Meisinger, Christa and Tj{\o}nneland, Anne and Brenner, Hermann and Palmieri, Luigi and Dallongeville, Jean and Brunner, Eric J and Assmann, Gerd and Trevisan, Maurizio and Gillum, Richard F and Ford, Ian and Sattar, Naveed and Lazo, Mariana and Thompson, Simon G and Ferrari, Pietro and Leon, David A and Smith, George Davey and Peto, Richard and Jackson, Rod and Banks, Emily and Di Angelantonio, Emanuele and Danesh, John} } @article {7918, title = {Serial circulating omega 3 polyunsaturated fatty acids and healthy ageing among older adults in the Cardiovascular Health Study: prospective cohort study.}, journal = {BMJ}, volume = {363}, year = {2018}, month = {2018 Oct 17}, pages = {k4067}, abstract = {

OBJECTIVE: To determine the longitudinal association between serial biomarker measures of circulating omega 3 polyunsaturated fatty acid (n3-PUFA) levels and healthy ageing.

DESIGN: Prospective cohort study.

SETTING: Four communities in the United States (Cardiovascular Health Study) from 1992 to 2015.

PARTICIPANTS: 2622 adults with a mean (SD) age of 74.4 (4.8) and with successful healthy ageing at baseline in 1992-93.

EXPOSURE: Cumulative levels of plasma phospholipid n3-PUFAs were measured using gas chromatography in 1992-93, 1998-99, and 2005-06, expressed as percentage of total fatty acids, including α-linolenic acid from plants and eicosapentaenoic acid, docosapentaenoic acid, and docosahexaenoic acid from seafoood.

MAIN OUTCOME MEASURE: Healthy ageing defined as survival without chronic diseases (ie, cardiovascular disease, cancer, lung disease, and severe chronic kidney disease), the absence of cognitive and physical dysfunction, or death from other causes not part of the healthy ageing outcome after age 65. Events were centrally adjudicated or determined from medical records and diagnostic tests.

RESULTS: Higher levels of long chain n3-PUFAs were associated with an 18\% lower risk (95\% confidence interval 7\% to 28\%) of unhealthy ageing per interquintile range after multivariable adjustments with time-varying exposure and covariates. Individually, higher eicosapentaenoic acid and docosapentaenoic acid (but not docosahexaenoic acid) levels were associated with a lower risk: 15\% (6\% to 23\%) and 16\% (6\% to 25\%), respectively. α-linolenic acid from plants was not noticeably associated with unhealthy ageing (hazard ratio 0.92, 95\% confidence interval 0.83 to 1.02).

CONCLUSIONS: In older adults, a higher cumulative level of serially measured circulating n3-PUFAs from seafood (eicosapentaenoic acid, docosapentaenoic acid, and docosahexaenoic acid), eicosapentaenoic acid, and docosapentaenoic acid (but not docosahexaenoic acid from seafood or α-linolenic acid from plants) was associated with a higher likelihood of healthy ageing. These findings support guidelines for increased dietary consumption of n3-PUFAs in older adults.

}, issn = {1756-1833}, doi = {10.1136/bmj.k4067}, author = {Lai, Heidi Tm and de Oliveira Otto, Marcia C and Lemaitre, Rozenn N and McKnight, Barbara and Song, Xiaoling and King, Irena B and Chaves, Paulo Hm and Odden, Michelle C and Newman, Anne B and Siscovick, David S and Mozaffarian, Dariush} } @article {7790, title = {Serial measures of circulating biomarkers of dairy fat and total and cause-specific mortality in older adults: the Cardiovascular Health Study.}, journal = {Am J Clin Nutr}, year = {2018}, month = {2018 Jul 11}, abstract = {

Background: Controversy has emerged about the benefits compared with harms of dairy fat, including concerns over long-term effects. Previous observational studies have assessed self-reported estimates of consumption or a single biomarker measure at baseline, which may lead to suboptimal estimation of true risk.

Objective: The aim of this study was to investigate prospective associations of serial measures of plasma phospholipid fatty acids pentadecanoic (15:0), heptadecanoic (17:0), and trans-palmitoleic (trans-16:1n-7) acids with total mortality, cause-specific mortality, and cardiovascular disease (CVD) risk among older adults.

Design: Among 2907 US adults aged >=65 y and free of CVD at baseline, circulating fatty acid concentrations were measured serially at baseline, 6 y, and 13 y. Deaths and CVD events were assessed and adjudicated centrally. Prospective associations were assessed by multivariate-adjusted Cox models incorporating time-dependent exposures and covariates.

Results: During 22 y of follow-up, 2428 deaths occurred, including 833 from CVD, 1595 from non-CVD causes, and 1301 incident CVD events. In multivariable models, circulating pentadecanoic, heptadecanoic, and trans-palmitoleic acids were not significantly associated with total mortality, with extreme-quintile HRs of 1.05 for pentadecanoic (95\% CI: 0.91, 1.22), 1.07 for heptadecanoic (95\% CI: 0.93, 1.23), and 1.05 for trans-palmitoleic (95\% CI: 0.91, 1.20) acids. Circulating heptadecanoic acid was associated with lower CVD mortality (extreme-quintile HR: 0.77; 95\% CI: 0.61, 0.98), especially stroke mortality, with a 42\% lower risk when comparing extreme quintiles of heptadecanoic acid concentrations (HR: 0.58; 95\% CI: 0.35, 0.97). In contrast, heptadecanoic acid was associated with a higher risk of non-CVD mortality (HR: 1.27; 95\% CI: 1.07, 1.52), which was not clearly related to any single subtype of non-CVD death. No significant associations of pentadecanoic, heptadecanoic, or trans-palmitoleic acids were seen for total incident CVD, coronary heart disease, or stroke.

Conclusions: Long-term exposure to circulating phospholipid pentadecanoic, heptadecanoic, or trans-palmitoleic acids was not significantly associated with total mortality or incident CVD among older adults. High circulating heptadecanoic acid was inversely associated with CVD and stroke mortality and potentially associated with higher risk of non-CVD death.

}, issn = {1938-3207}, doi = {10.1093/ajcn/nqy117}, author = {de Oliveira Otto, Marcia C and Lemaitre, Rozenn N and Song, Xiaoling and King, Irena B and Siscovick, David S and Mozaffarian, Dariush} } @article {7685, title = {Sex and Race Differences in Lifetime Risk of Heart Failure With Preserved Ejection Fraction and Heart Failure With Reduced Ejection Fraction.}, journal = {Circulation}, volume = {137}, year = {2018}, month = {2018 Apr 24}, pages = {1814-1823}, abstract = {

BACKGROUND: Lifetime risk of heart failure has been estimated to range from 20\% to 46\% in diverse sex and race groups. However, lifetime risk estimates for the 2 HF phenotypes, HF with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF), are not known.

METHODS: Participant-level data from 2 large prospective cohort studies, the CHS (Cardiovascular Health Study) and MESA (Multiethnic Study of Atherosclerosis), were pooled, excluding individuals with prevalent HF at baseline. Remaining lifetime risk estimates for HFpEF (EF >=45\%) and HFrEF (EF <45\%) were determined at different index ages with the use of a modified Kaplan-Meier method with mortality and the other HF subtype as competing risks.

RESULTS: We included 12 417 participants >45 years of age (22.2\% blacks, 44.8\% men) who were followed up for median duration of 11.6 years with 2178 overall incident HF events with 561 HFrEF events and 726 HFpEF events. At the index age of 45 years, the lifetime risk for any HF through 90 years of age was higher in men than women (27.4\% versus 23.8\%). Among HF subtypes, the lifetime risk for HFrEF was higher in men than women (10.6\% versus 5.8\%). In contrast, the lifetime risk for HFpEF was similar in men and women. In race-stratified analyses, lifetime risk for overall HF was higher in nonblacks than blacks (25.9\% versus 22.4\%). Among HF subtypes, the lifetime risk for HFpEF was higher in nonblacks than blacks (11.2\% versus 7.7\%), whereas that for HFrEF was similar across the 2 groups. Among participants with antecedent myocardial infarction before HF diagnosis, the remaining lifetime risks for HFpEF and HFrEF were up to 2.5-fold and 4-fold higher, respectively, compared with those without antecedent myocardial infarction.

CONCLUSIONS: Lifetime risks for HFpEF and HFrEF vary by sex, race, and history of antecedent myocardial infarction. These insights into the distribution of HF risk and its subtypes could inform the development of targeted strategies to improve population-level HF prevention and control.

}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.117.031622}, author = {Pandey, Ambarish and Omar, Wally and Ayers, Colby and LaMonte, Michael and Klein, Liviu and Allen, Norrina B and Kuller, Lewis H and Greenland, Philip and Eaton, Charles B and Gottdiener, John S and Lloyd-Jones, Donald M and Berry, Jarett D} } @article {7787, title = {Sleep characteristics that predict atrial fibrillation.}, journal = {Heart Rhythm}, volume = {15}, year = {2018}, month = {2018 Sep}, pages = {1289-1295}, abstract = {

BACKGROUND: The relationship between sleep disruption, independent of obstructive sleep apnea (OSA), and atrial fibrillation (AF) is unknown.

OBJECTIVE: The purpose of this study was to determine whether poor sleep itself is a risk factor for AF.

METHODS: We first performed an analysis of participants in the Health eHeart Study and validated those findings in the longitudinal Cardiovascular Health Study, including a subset of patients undergoing polysomnography. To determine whether the observed relationships readily translated to medical practice, we examined 2005-2009 data from the California Healthcare Cost and Utilization Project.

RESULTS: Among 4553 Health eHeart participants, the 526 with AF exhibited more frequent nighttime awakening (odd ratio [OR] 1.47; 95\% confidence interval [CI] 1.14-1.89; P = .003). In 5703 Cardiovascular Health Study participants followed for a median 11.6 years, frequent nighttime awakening predicted a 33\% greater risk of AF (hazard ratio [HR] 1.33; 95\% CI 1.17-1.51; P <.001). In patients with polysomnography (N = 1127), every standard deviation percentage decrease in rapid eye movement (REM) sleep was associated with a 18\% higher risk of developing AF (HR 1.18; 95\% CI 1.00-1.38; P = .047). Among 14,330,651 California residents followed for a median 3.9 years, an insomnia diagnosis predicted a 36\% increased risk of new AF (HR 1.36; 95\% CI 1.30-1.42; P <.001).

CONCLUSION: Sleep disruption consistently predicted AF before and after adjustment for OSA and other potential confounders across several different populations. Sleep quality itself may be important in the pathogenesis of AF, potentially representing a novel target for prevention.

}, issn = {1556-3871}, doi = {10.1016/j.hrthm.2018.05.008}, author = {Christensen, Matthew A and Dixit, Shalini and Dewland, Thomas A and Whitman, Isaac R and Nah, Gregory and Vittinghoff, Eric and Mukamal, Kenneth J and Redline, Susan and Robbins, John A and Newman, Anne B and Patel, Sanjay R and Magnani, Jared W and Psaty, Bruce M and Olgin, Jeffrey E and Pletcher, Mark J and Heckbert, Susan R and Marcus, Gregory M} } @article {7788, title = {Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 May 29}, pages = {2098}, abstract = {

General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 {\texttimes} 10) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3\% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-04362-x}, author = {Davies, Gail and Lam, Max and Harris, Sarah E and Trampush, Joey W and Luciano, Michelle and Hill, W David and Hagenaars, Saskia P and Ritchie, Stuart J and Marioni, Riccardo E and Fawns-Ritchie, Chloe and Liewald, David C M and Okely, Judith A and Ahola-Olli, Ari V and Barnes, Catriona L K and Bertram, Lars and Bis, Joshua C and Burdick, Katherine E and Christoforou, Andrea and DeRosse, Pamela and Djurovic, Srdjan and Espeseth, Thomas and Giakoumaki, Stella and Giddaluru, Sudheer and Gustavson, Daniel E and Hayward, Caroline and Hofer, Edith and Ikram, M Arfan and Karlsson, Robert and Knowles, Emma and Lahti, Jari and Leber, Markus and Li, Shuo and Mather, Karen A and Melle, Ingrid and Morris, Derek and Oldmeadow, Christopher and Palviainen, Teemu and Payton, Antony and Pazoki, Raha and Petrovic, Katja and Reynolds, Chandra A and Sargurupremraj, Muralidharan and Scholz, Markus and Smith, Jennifer A and Smith, Albert V and Terzikhan, Natalie and Thalamuthu, Anbupalam and Trompet, Stella and van der Lee, Sven J and Ware, Erin B and Windham, B Gwen and Wright, Margaret J and Yang, Jingyun and Yu, Jin and Ames, David and Amin, Najaf and Amouyel, Philippe and Andreassen, Ole A and Armstrong, Nicola J and Assareh, Amelia A and Attia, John R and Attix, Deborah and Avramopoulos, Dimitrios and Bennett, David A and B{\"o}hmer, Anne C and Boyle, Patricia A and Brodaty, Henry and Campbell, Harry and Cannon, Tyrone D and Cirulli, Elizabeth T and Congdon, Eliza and Conley, Emily Drabant and Corley, Janie and Cox, Simon R and Dale, Anders M and Dehghan, Abbas and Dick, Danielle and Dickinson, Dwight and Eriksson, Johan G and Evangelou, Evangelos and Faul, Jessica D and Ford, Ian and Freimer, Nelson A and Gao, He and Giegling, Ina and Gillespie, Nathan A and Gordon, Scott D and Gottesman, Rebecca F and Griswold, Michael E and Gudnason, Vilmundur and Harris, Tamara B and Hartmann, Annette M and Hatzimanolis, Alex and Heiss, Gerardo and Holliday, Elizabeth G and Joshi, Peter K and K{\"a}h{\"o}nen, Mika and Kardia, Sharon L R and Karlsson, Ida and Kleineidam, Luca and Knopman, David S and Kochan, Nicole A and Konte, Bettina and Kwok, John B and Le Hellard, Stephanie and Lee, Teresa and Lehtim{\"a}ki, Terho and Li, Shu-Chen and Liu, Tian and Koini, Marisa and London, Edythe and Longstreth, Will T and Lopez, Oscar L and Loukola, Anu and Luck, Tobias and Lundervold, Astri J and Lundquist, Anders and Lyytik{\"a}inen, Leo-Pekka and Martin, Nicholas G and Montgomery, Grant W and Murray, Alison D and Need, Anna C and Noordam, Raymond and Nyberg, Lars and Ollier, William and Papenberg, Goran and Pattie, Alison and Polasek, Ozren and Poldrack, Russell A and Psaty, Bruce M and Reppermund, Simone and Riedel-Heller, Steffi G and Rose, Richard J and Rotter, Jerome I and Roussos, Panos and Rovio, Suvi P and Saba, Yasaman and Sabb, Fred W and Sachdev, Perminder S and Satizabal, Claudia L and Schmid, Matthias and Scott, Rodney J and Scult, Matthew A and Simino, Jeannette and Slagboom, P Eline and Smyrnis, Nikolaos and Soumar{\'e}, A{\"\i}cha and Stefanis, Nikos C and Stott, David J and Straub, Richard E and Sundet, Kjetil and Taylor, Adele M and Taylor, Kent D and Tzoulaki, Ioanna and Tzourio, Christophe and Uitterlinden, Andre and Vitart, Veronique and Voineskos, Aristotle N and Kaprio, Jaakko and Wagner, Michael and Wagner, Holger and Weinhold, Leonie and Wen, K Hoyan and Widen, Elisabeth and Yang, Qiong and Zhao, Wei and Adams, Hieab H H and Arking, Dan E and Bilder, Robert M and Bitsios, Panos and Boerwinkle, Eric and Chiba-Falek, Ornit and Corvin, Aiden and De Jager, Philip L and Debette, Stephanie and Donohoe, Gary and Elliott, Paul and Fitzpatrick, Annette L and Gill, Michael and Glahn, David C and H{\"a}gg, Sara and Hansell, Narelle K and Hariri, Ahmad R and Ikram, M Kamran and Jukema, J Wouter and Vuoksimaa, Eero and Keller, Matthew C and Kremen, William S and Launer, Lenore and Lindenberger, Ulman and Palotie, Aarno and Pedersen, Nancy L and Pendleton, Neil and Porteous, David J and R{\"a}ikk{\"o}nen, Katri and Raitakari, Olli T and Ramirez, Alfredo and Reinvang, Ivar and Rudan, Igor and Schmidt, Reinhold and Schmidt, Helena and Schofield, Peter W and Schofield, Peter R and Starr, John M and Steen, Vidar M and Trollor, Julian N and Turner, Steven T and van Duijn, Cornelia M and Villringer, Arno and Weinberger, Daniel R and Weir, David R and Wilson, James F and Malhotra, Anil and McIntosh, Andrew M and Gale, Catharine R and Seshadri, Sudha and Mosley, Thomas H and Bressler, Jan and Lencz, Todd and Deary, Ian J} } @article {7576, title = {Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis.}, journal = {Diabetologia}, volume = {61}, year = {2018}, month = {2018 Feb}, pages = {317-330}, abstract = {

AIMS/HYPOTHESIS: Sugar-sweetened beverages (SSBs) are a major dietary contributor to fructose intake. A molecular pathway involving the carbohydrate responsive element-binding protein (ChREBP) and the metabolic hormone fibroblast growth factor 21 (FGF21) may influence sugar metabolism and, thereby, contribute to fructose-induced metabolic disease. We hypothesise that common variants in 11 genes involved in fructose metabolism and the ChREBP-FGF21 pathway may interact with SSB intake to exacerbate positive associations between higher SSB intake and glycaemic traits.

METHODS: Data from 11 cohorts (six discovery and five replication) in the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium provided association and interaction results from 34,748 adults of European descent. SSB intake (soft drinks, fruit punches, lemonades or other fruit drinks) was derived from food-frequency questionnaires and food diaries. In fixed-effects meta-analyses, we quantified: (1) the associations between SSBs and glycaemic traits (fasting glucose and fasting insulin); and (2) the interactions between SSBs and 18 independent SNPs related to the ChREBP-FGF21 pathway.

RESULTS: In our combined meta-analyses of discovery and replication cohorts, after adjustment for age, sex, energy intake, BMI and other dietary covariates, each additional serving of SSB intake was associated with higher fasting glucose (β~{\textpm}~SE 0.014~{\textpm}~0.004 [mmol/l], p~=~1.5~{\texttimes}~10-3) and higher fasting insulin (0.030~{\textpm}~0.005 [log e pmol/l], p~=~2.0~{\texttimes}~10-10). No significant interactions on glycaemic traits were observed between SSB intake and selected SNPs. While a suggestive interaction was observed in the discovery cohorts with a SNP (rs1542423) in the β-Klotho (KLB) locus on fasting insulin (0.030~{\textpm}~0.011 log e pmol/l, uncorrected p~=~0.006), results in the replication cohorts and combined meta-analyses were non-significant.

CONCLUSIONS/INTERPRETATION: In this large meta-analysis, we observed that SSB intake was associated with higher fasting glucose and insulin. Although a suggestive interaction with a genetic variant in the ChREBP-FGF21 pathway was observed in the discovery cohorts, this observation was not confirmed in the replication analysis.

TRIAL REGISTRATION: Trials related to this study were registered at clinicaltrials.gov as NCT00005131 (Atherosclerosis Risk in Communities), NCT00005133 (Cardiovascular Health Study), NCT00005121 (Framingham Offspring Study), NCT00005487 (Multi-Ethnic Study of Atherosclerosis) and NCT00005152 (Nurses{\textquoteright} Health Study).

}, issn = {1432-0428}, doi = {10.1007/s00125-017-4475-0}, author = {McKeown, Nicola M and Dashti, Hassan S and Ma, Jiantao and Haslam, Danielle E and Kiefte-de Jong, Jessica C and Smith, Caren E and Tanaka, Toshiko and Graff, Mariaelisa and Lemaitre, Rozenn N and Rybin, Denis and Sonestedt, Emily and Frazier-Wood, Alexis C and Mook-Kanamori, Dennis O and Li, Yanping and Wang, Carol A and Leermakers, Elisabeth T M and Mikkil{\"a}, Vera and Young, Kristin L and Mukamal, Kenneth J and Cupples, L Adrienne and Schulz, Christina-Alexandra and Chen, Tzu-An and Li-Gao, Ruifang and Huang, Tao and Oddy, Wendy H and Raitakari, Olli and Rice, Kenneth and Meigs, James B and Ericson, Ulrika and Steffen, Lyn M and Rosendaal, Frits R and Hofman, Albert and K{\"a}h{\"o}nen, Mika and Psaty, Bruce M and Brunkwall, Louise and Uitterlinden, Andr{\'e} G and Viikari, Jorma and Siscovick, David S and Sepp{\"a}l{\"a}, Ilkka and North, Kari E and Mozaffarian, Dariush and Dupuis, Jos{\'e}e and Orho-Melander, Marju and Rich, Stephen S and de Mutsert, Ren{\'e}e and Qi, Lu and Pennell, Craig E and Franco, Oscar H and Lehtim{\"a}ki, Terho and Herman, Mark A} } @article {7922, title = {Trajectories of Nonagenarian Health: Gender, Age, and Period Effects.}, journal = {Am J Epidemiol}, year = {2018}, month = {2018 Nov 08}, abstract = {

The US population aged 90 years and older is growing rapidly and there are limited data on their health. The Cardiovascular Health Study is a prospective study of black and white adults >=65 years recruited in two waves (1989-90 and 1992-93) from Medicare eligibility lists in Forsyth County, North Carolina; Sacramento County, California; Washington County, Maryland; and Pittsburgh, Pennsylvania. We created a synthetic cohort of the 1,889 participants who had reached age 90 at baseline or during follow-up through July 16th, 2015. Participants entered the cohort at 90 years and we evaluated their changes in health after age 90 (median [IQR] follow-up: 3 [1.3-5] years). Measures of health included cardiovascular events, cognitive function, depressive symptoms, prescription medications, self-rated health, and measures of functional status. The mortality rate was high: 19.0 (95\% CI: 17.8, 20.3) per 100 person-years in women and 20.9 (95\% CI: 19.2, 22.8) in men. Cognitive function and all measures of functional status declined with age; these changes were similar by gender. When we isolated period effects, we found that medications use increased over time. These estimates can help inform future research and health care systems to meet the needs of this growing population.

}, issn = {1476-6256}, doi = {10.1093/aje/kwy241}, author = {Odden, Michelle C and Koh, William Jen Hoe and Arnold, Alice M and Rawlings, Andreea M and Psaty, Bruce M and Newman, Anne B} } @article {7681, title = {Trans-ethnic Evaluation Identifies Novel Low Frequency Loci Associated with 25-Hydroxyvitamin D Concentrations.}, journal = {J Clin Endocrinol Metab}, year = {2018}, month = {2018 Jan 09}, abstract = {

Context: Vitamin D inadequacy is common in the adult population of the United States. While the genetic determinants underlying vitamin D inadequacy have been studied in people of European ancestry, less is known in Hispanic or African ancestry populations.

Objective: The TRANSCEN-D (TRANS-ethniC Evaluation of vitamiN D GWAS) consortium was assembled to replicate genetic associations with 25-hydroxyvitamin D (25(OH)D) concentrations from the meta-analyses of European ancestry (SUNLIGHT) and to identify novel genetic variants related to vitamin D concentrations in African and Hispanic ancestries.

Design: Ancestry-specific (Hispanic and African) and trans-ethnic (Hispanic, African and European) meta-analyses were performed using the METAL software.

Patients or Other Participants: In total, 8,541 African-American and 3,485 Hispanic-American (from North America) participants from twelve cohorts, and 16,124 European participants from SUNLIGHT were included in the study.

Main Outcome Measure(s): Blood concentrations of 25(OH)D were measured for all participants.

Results: Ancestry-specific analyses in African and Hispanic Americans replicated SNPs in GC (2 and 4 SNPs, respectively). A potentially novel SNP (rs79666294) near the KIF4B gene was identified in the African-American cohort. Trans-ethnic evaluation replicated GC and DHCR7 region SNPs. Additionally, the trans-ethnic analyses revealed novel SNPs rs719700 and rs1410656 near the ANO6/ARID2 and HTR2A genes, respectively.

Conclusions: Ancestry-specific and trans-ethnic GWAS of 25(OH)D confirmed findings in GC and DHCR7 for African and Hispanic American samples and revealed novel findings near KIF4B, ANO6/ARID2, and HTR2A. The biological mechanisms that link these regions with 25(OH)D metabolism require further investigation.

}, issn = {1945-7197}, doi = {10.1210/jc.2017-01802}, author = {Hong, Jaeyoung and Hatchell, Kathryn E and Bradfield, Jonathan P and Andrew, Bjonnes and Alessandra, Chesi and Chao-Qiang, Lai and Langefeld, Carl D and Lu, Lingyi and Lu, Yingchang and Lutsey, Pamela L and Musani, Solomon K and Nalls, Mike A and Robinson-Cohen, Cassianne and Roizen, Jeffery D and Saxena, Richa and Tucker, Katherine L and Ziegler, Julie T and Arking, Dan E and Bis, Joshua C and Boerwinkle, Eric and Bottinger, Erwin P and Bowden, Donald W and Gilsanz, Vincente and Houston, Denise K and Kalkwarf, Heidi J and Kelly, Andrea and Lappe, Joan M and Liu, Yongmei and Michos, Erin D and Oberfield, Sharon E and Palmer, Nicholette D and Rotter, Jerome I and Sapkota, Bishwa and Shepherd, John A and Wilson, James G and Basu, Saonli and de Boer, Ian H and Divers, Jasmin and Freedman, Barry I and Grant, Struan F A and Hakanarson, Hakon and Harris, Tamara B and Kestenbaum, Bryan R and Kritchevsky, Stephen B and Loos, Ruth J F and Norris, Jill M and Norwood, Arnita F and Ordovas, Jose M and Pankow, James S and Psaty, Bruce M and Sanhgera, Dharambir K and Wagenknecht, Lynne E and Zemel, Babette S and Meigs, James and Dupuis, Jos{\'e}e and Florez, Jose C and Wang, Thomas and Liu, Ching-Ti and Engelman, Corinne D and Billings, Liana K} } @article {7931, title = {Validation of the REGARDS Severe Sepsis Risk Score.}, journal = {J Clin Med}, volume = {7}, year = {2018}, month = {2018 Dec 11}, abstract = {

There are no validated systems for characterizing long-term risk of severe sepsis in community-dwelling adults. We tested the ability of the REasons for Geographic and Racial Differences in Stroke-Severe Sepsis Risk Score (REGARDS-SSRS) to predict 10-year severe sepsis risk in separate cohorts of community-dwelling adults. We internally tested the REGARDS-SSRS on the REGARDS-Medicare subcohort. We then externally validated the REGARDS-SSRS using (1) the Cardiovascular Health Study (CHS) and (2) the Atherosclerosis Risk in Communities (ARIC) cohorts. Participants included community-dwelling adults: REGARDS-Medicare, age >=65 years, = 9522; CHS, age >=65 years, = 5888; ARIC, age 45$^{-}$64 years, = 11,584. The primary exposure was 10-year severe sepsis risk, predicted by the REGARDS-SSRS from participant sociodemographics, health behaviors, chronic medical conditions and select biomarkers. The primary outcome was first severe sepsis hospitalizations, defined as the concurrent presence of ICD-9 discharge diagnoses for a serious infection and organ dysfunction. Median SSRS in the cohorts were: REGARDS-Medicare 11 points (IQR 7$^{-}$16), CHS 10 (IQR 6$^{-}$15), ARIC 7 (IQR 5$^{-}$10). Severe sepsis incidence rates were: REGARDS-Medicare 30.7 per 1000 person-years (95\% CI: 29.2$^{-}$32.2); CHS 11.9 (10.9$^{-}$12.9); ARIC 6.8 (6.3$^{-}$7.3). SSRS discrimination for first severe sepsis events were: REGARDS-Medicare C-statistic 0.704 (95\% CI: 0.691$^{-}$0.718), CHS 0.696 (0.675$^{-}$0.716), ARIC 0.697 (0.677$^{-}$0.716). The REGARDS-SRSS may potentially play a role in identifying community-dwelling adults at high severe sepsis risk.

}, issn = {2077-0383}, doi = {10.3390/jcm7120536}, author = {Wang, Henry E and Donnelly, John P and Yende, Sachin and Levitan, Emily B and Shapiro, Nathan I and Dai, Yuling and Zhao, Hong and Heiss, Gerardo and Odden, Michelle and Newman, Anne and Safford, Monika} } @article {7980, title = {Albuminuria, Lung Function Decline, and Risk of Incident Chronic Obstructive Pulmonary Disease. The NHLBI Pooled Cohorts Study.}, journal = {Am J Respir Crit Care Med}, volume = {199}, year = {2019}, month = {2019 Feb 01}, pages = {321-332}, abstract = {

RATIONALE: Chronic lower respiratory diseases (CLRDs), including chronic obstructive pulmonary disease (COPD) and asthma, are the fourth leading cause of death. Prior studies suggest that albuminuria, a biomarker of endothelial injury, is increased in patients with COPD.

OBJECTIVES: To test whether albuminuria was associated with lung function decline and incident CLRDs.

METHODS: Six U.S. population-based cohorts were harmonized and pooled. Participants with prevalent clinical lung disease were excluded. Albuminuria (urine albumin-to-creatinine ratio) was measured in spot samples. Lung function was assessed by spirometry. Incident CLRD-related hospitalizations and deaths were classified via adjudication and/or administrative criteria. Mixed and proportional hazards models were used to test individual-level associations adjusted for age, height, weight, sex, race/ethnicity, education, birth year, cohort, smoking status, pack-years of smoking, renal function, hypertension, diabetes, and medications.

MEASUREMENTS AND MAIN RESULTS: Among 10,961 participants with preserved lung function, mean age at albuminuria measurement was 60 years, 51\% were never-smokers, median albuminuria was 5.6 mg/g, and mean FEV decline was 31.5 ml/yr. For each SD increase in log-transformed albuminuria, there was 2.81\% greater FEV decline (95\% confidence interval [CI], 0.86-4.76\%; P = 0.0047), 11.02\% greater FEV/FVC decline (95\% CI, 4.43-17.62\%; P = 0.0011), and 15\% increased hazard of incident spirometry-defined moderate-to-severe COPD (95\% CI, 2-31\%, P = 0.0021). Each SD log-transformed albuminuria increased hazards of incident COPD-related hospitalization/mortality by 26\% (95\% CI, 18-34\%, P < 0.0001) among 14,213 participants followed for events. Asthma events were not significantly associated. Associations persisted in participants without current smoking, diabetes, hypertension, or cardiovascular disease.

CONCLUSIONS: Albuminuria was associated with greater lung function decline, incident spirometry-defined COPD, and incident COPD-related events in a U.S. population-based sample.

}, issn = {1535-4970}, doi = {10.1164/rccm.201803-0402OC}, author = {Oelsner, Elizabeth C and Balte, Pallavi P and Grams, Morgan E and Cassano, Patricia A and Jacobs, David R and Barr, R Graham and Burkart, Kristin M and Kalhan, Ravi and Kronmal, Richard and Loehr, Laura R and O{\textquoteright}Connor, George T and Schwartz, Joseph E and Shlipak, Michael and Tracy, Russell P and Tsai, Michael Y and White, Wendy and Yende, Sachin} } @article {8198, title = {Associations of autozygosity with a broad range of human phenotypes.}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {2019 Oct 31}, pages = {4957}, abstract = {

In many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (F) for >1.4 million individuals, we show that F is significantly associated (p < 0.0005) with apparently deleterious changes in 32 out of 100 traits analysed. These changes are associated with runs of homozygosity (ROH), but not with common variant homozygosity, suggesting that genetic variants associated with inbreeding depression are predominantly rare. The effect on fertility is striking: F equivalent to the offspring of first cousins is associated with a 55\% decrease [95\% CI 44-66\%] in the odds of having children. Finally, the effects of F are confirmed within full-sibling pairs, where the variation in F is independent of all environmental confounding.

}, issn = {2041-1723}, doi = {10.1038/s41467-019-12283-6}, author = {Clark, David W and Okada, Yukinori and Moore, Kristjan H S and Mason, Dan and Pirastu, Nicola and Gandin, Ilaria and Mattsson, Hannele and Barnes, Catriona L K and Lin, Kuang and Zhao, Jing Hua and Deelen, Patrick and Rohde, Rebecca and Schurmann, Claudia and Guo, Xiuqing and Giulianini, Franco and Zhang, Weihua and Medina-G{\'o}mez, Carolina and Karlsson, Robert and Bao, Yanchun and Bartz, Traci M and Baumbach, Clemens and Biino, Ginevra and Bixley, Matthew J and Brumat, Marco and Chai, Jin-Fang and Corre, Tanguy and Cousminer, Diana L and Dekker, Annelot M and Eccles, David A and van Eijk, Kristel R and Fuchsberger, Christian and Gao, He and Germain, Marine and Gordon, Scott D and de Haan, Hugoline G and Harris, Sarah E and Hofer, Edith and Huerta-Chagoya, Alicia and Igartua, Catherine and Jansen, Iris E and Jia, Yucheng and Kacprowski, Tim and Karlsson, Torgny and Kleber, Marcus E and Li, Shengchao Alfred and Li-Gao, Ruifang and Mahajan, Anubha and Matsuda, Koichi and Meidtner, Karina and Meng, Weihua and Montasser, May E and van der Most, Peter J and Munz, Matthias and Nutile, Teresa and Palviainen, Teemu and Prasad, Gauri and Prasad, Rashmi B and Priyanka, Tallapragada Divya Sri and Rizzi, Federica and Salvi, Erika and Sapkota, Bishwa R and Shriner, Daniel and Skotte, Line and Smart, Melissa C and Smith, Albert Vernon and van der Spek, Ashley and Spracklen, Cassandra N and Strawbridge, Rona J and Tajuddin, Salman M and Trompet, Stella and Turman, Constance and Verweij, Niek and Viberti, Clara and Wang, Lihua and Warren, Helen R and Wootton, Robyn E and Yanek, Lisa R and Yao, Jie and Yousri, Noha A and Zhao, Wei and Adeyemo, Adebowale A and Afaq, Saima and Aguilar-Salinas, Carlos Alberto and Akiyama, Masato and Albert, Matthew L and Allison, Matthew A and Alver, Maris and Aung, Tin and Azizi, Fereidoun and Bentley, Amy R and Boeing, Heiner and Boerwinkle, Eric and Borja, Judith B and de Borst, Gert J and Bottinger, Erwin P and Broer, Linda and Campbell, Harry and Chanock, Stephen and Chee, Miao-Li and Chen, Guanjie and Chen, Yii-der I and Chen, Zhengming and Chiu, Yen-Feng and Cocca, Massimiliano and Collins, Francis S and Concas, Maria Pina and Corley, Janie and Cugliari, Giovanni and van Dam, Rob M and Damulina, Anna and Daneshpour, Maryam S and Day, Felix R and Delgado, Graciela E and Dhana, Klodian and Doney, Alexander S F and D{\"o}rr, Marcus and Doumatey, Ayo P and Dzimiri, Nduna and Ebenesersd{\'o}ttir, S Sunna and Elliott, Joshua and Elliott, Paul and Ewert, Ralf and Felix, Janine F and Fischer, Krista and Freedman, Barry I and Girotto, Giorgia and Goel, Anuj and G{\"o}gele, Martin and Goodarzi, Mark O and Graff, Mariaelisa and Granot-Hershkovitz, Einat and Grodstein, Francine and Guarrera, Simonetta and Gudbjartsson, Daniel F and Guity, Kamran and Gunnarsson, Bjarni and Guo, Yu and Hagenaars, Saskia P and Haiman, Christopher A and Halevy, Avner and Harris, Tamara B and Hedayati, Mehdi and van Heel, David A and Hirata, Makoto and H{\"o}fer, Imo and Hsiung, Chao Agnes and Huang, Jinyan and Hung, Yi-Jen and Ikram, M Arfan and Jagadeesan, Anuradha and Jousilahti, Pekka and Kamatani, Yoichiro and Kanai, Masahiro and Kerrison, Nicola D and Kessler, Thorsten and Khaw, Kay-Tee and Khor, Chiea Chuen and de Kleijn, Dominique P V and Koh, Woon-Puay and Kolcic, Ivana and Kraft, Peter and Kr{\"a}mer, Bernhard K and Kutalik, Zolt{\'a}n and Kuusisto, Johanna and Langenberg, Claudia and Launer, Lenore J and Lawlor, Deborah A and Lee, I-Te and Lee, Wen-Jane and Lerch, Markus M and Li, Liming and Liu, Jianjun and Loh, Marie and London, Stephanie J and Loomis, Stephanie and Lu, Yingchang and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Manichaikul, Ani W and Manunta, Paolo and M{\'a}sson, G{\'\i}sli and Matoba, Nana and Mei, Xue W and Meisinger, Christa and Meitinger, Thomas and Mezzavilla, Massimo and Milani, Lili and Millwood, Iona Y and Momozawa, Yukihide and Moore, Amy and Morange, Pierre-Emmanuel and Moreno-Macias, Hortensia and Mori, Trevor A and Morrison, Alanna C and Muka, Taulant and Murakami, Yoshinori and Murray, Alison D and de Mutsert, Ren{\'e}e and Mychaleckyj, Josyf C and Nalls, Mike A and Nauck, Matthias and Neville, Matt J and Nolte, Ilja M and Ong, Ken K and Orozco, Lorena and Padmanabhan, Sandosh and P{\'a}lsson, Gunnar and Pankow, James S and Pattaro, Cristian and Pattie, Alison and Polasek, Ozren and Poulter, Neil and Pramstaller, Peter P and Quintana-Murci, Lluis and R{\"a}ikk{\"o}nen, Katri and Ralhan, Sarju and Rao, Dabeeru C and van Rheenen, Wouter and Rich, Stephen S and Ridker, Paul M and Rietveld, Cornelius A and Robino, Antonietta and van Rooij, Frank J A and Ruggiero, Daniela and Saba, Yasaman and Sabanayagam, Charumathi and Sabater-Lleal, Maria and Sala, Cinzia Felicita and Salomaa, Veikko and Sandow, Kevin and Schmidt, Helena and Scott, Laura J and Scott, William R and Sedaghati-Khayat, Bahareh and Sennblad, Bengt and van Setten, Jessica and Sever, Peter J and Sheu, Wayne H-H and Shi, Yuan and Shrestha, Smeeta and Shukla, Sharvari Rahul and Sigurdsson, Jon K and Sikka, Timo Tonis and Singh, Jai Rup and Smith, Blair H and Stan{\v c}{\'a}kov{\'a}, Alena and Stanton, Alice and Starr, John M and Stefansdottir, Lilja and Straker, Leon and Sulem, Patrick and Sveinbjornsson, Gardar and Swertz, Morris A and Taylor, Adele M and Taylor, Kent D and Terzikhan, Natalie and Tham, Yih-Chung and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tillander, Annika and Tracy, Russell P and Tusi{\'e}-Luna, Teresa and Tzoulaki, Ioanna and Vaccargiu, Simona and Vangipurapu, Jagadish and Veldink, Jan H and Vitart, Veronique and V{\"o}lker, Uwe and Vuoksimaa, Eero and Wakil, Salma M and Waldenberger, Melanie and Wander, Gurpreet S and Wang, Ya Xing and Wareham, Nicholas J and Wild, Sarah and Yajnik, Chittaranjan S and Yuan, Jian-Min and Zeng, Lingyao and Zhang, Liang and Zhou, Jie and Amin, Najaf and Asselbergs, Folkert W and Bakker, Stephan J L and Becker, Diane M and Lehne, Benjamin and Bennett, David A and van den Berg, Leonard H and Berndt, Sonja I and Bharadwaj, Dwaipayan and Bielak, Lawrence F and Bochud, Murielle and Boehnke, Mike and Bouchard, Claude and Bradfield, Jonathan P and Brody, Jennifer A and Campbell, Archie and Carmi, Shai and Caulfield, Mark J and Cesarini, David and Chambers, John C and Chandak, Giriraj Ratan and Cheng, Ching-Yu and Ciullo, Marina and Cornelis, Marilyn and Cusi, Daniele and Smith, George Davey and Deary, Ian J and Dorajoo, Rajkumar and van Duijn, Cornelia M and Ellinghaus, David and Erdmann, Jeanette and Eriksson, Johan G and Evangelou, Evangelos and Evans, Michele K and Faul, Jessica D and Feenstra, Bjarke and Feitosa, Mary and Foisy, Sylvain and Franke, Andre and Friedlander, Yechiel and Gasparini, Paolo and Gieger, Christian and Gonzalez, Clicerio and Goyette, Philippe and Grant, Struan F A and Griffiths, Lyn R and Groop, Leif and Gudnason, Vilmundur and Gyllensten, Ulf and Hakonarson, Hakon and Hamsten, Anders and van der Harst, Pim and Heng, Chew-Kiat and Hicks, Andrew A and Hochner, Hagit and Huikuri, Heikki and Hunt, Steven C and Jaddoe, Vincent W V and De Jager, Philip L and Johannesson, Magnus and Johansson, Asa and Jonas, Jost B and Jukema, J Wouter and Junttila, Juhani and Kaprio, Jaakko and Kardia, Sharon L R and Karpe, Fredrik and Kumari, Meena and Laakso, Markku and van der Laan, Sander W and Lahti, Jari and Laudes, Matthias and Lea, Rodney A and Lieb, Wolfgang and Lumley, Thomas and Martin, Nicholas G and M{\"a}rz, Winfried and Matullo, Giuseppe and McCarthy, Mark I and Medland, Sarah E and Merriman, Tony R and Metspalu, Andres and Meyer, Brian F and Mohlke, Karen L and Montgomery, Grant W and Mook-Kanamori, Dennis and Munroe, Patricia B and North, Kari E and Nyholt, Dale R and O{\textquoteright}Connell, Jeffery R and Ober, Carole and Oldehinkel, Albertine J and Palmas, Walter and Palmer, Colin and Pasterkamp, Gerard G and Patin, Etienne and Pennell, Craig E and Perusse, Louis and Peyser, Patricia A and Pirastu, Mario and Polderman, Tinca J C and Porteous, David J and Posthuma, Danielle and Psaty, Bruce M and Rioux, John D and Rivadeneira, Fernando and Rotimi, Charles and Rotter, Jerome I and Rudan, Igor and den Ruijter, Hester M and Sanghera, Dharambir K and Sattar, Naveed and Schmidt, Reinhold and Schulze, Matthias B and Schunkert, Heribert and Scott, Robert A and Shuldiner, Alan R and Sim, Xueling and Small, Neil and Smith, Jennifer A and Sotoodehnia, Nona and Tai, E-Shyong and Teumer, Alexander and Timpson, Nicholas J and Toniolo, Daniela and Tr{\'e}gou{\"e}t, David-Alexandre and Tuomi, Tiinamaija and Vollenweider, Peter and Wang, Carol A and Weir, David R and Whitfield, John B and Wijmenga, Cisca and Wong, Tien-Yin and Wright, John and Yang, Jingyun and Yu, Lei and Zemel, Babette S and Zonderman, Alan B and Perola, Markus and Magnusson, Patrik K E and Uitterlinden, Andr{\'e} G and Kooner, Jaspal S and Chasman, Daniel I and Loos, Ruth J F and Franceschini, Nora and Franke, Lude and Haley, Chris S and Hayward, Caroline and Walters, Robin G and Perry, John R B and Esko, T{\~o}nu and Helgason, Agnar and Stefansson, Kari and Joshi, Peter K and Kubo, Michiaki and Wilson, James F} } @article {8047, title = {Biomarkers of Dietary Omega-6 Fatty Acids and Incident Cardiovascular Disease and Mortality.}, journal = {Circulation}, volume = {139}, year = {2019}, month = {2019 May 21}, pages = {2422-2436}, abstract = {

BACKGROUND: Global dietary recommendations for and cardiovascular effects of linoleic acid, the major dietary omega-6 fatty acid, and its major metabolite, arachidonic acid, remain controversial. To address this uncertainty and inform international recommendations, we evaluated how in vivo circulating and tissue levels of linoleic acid (LA) and arachidonic acid (AA) relate to incident cardiovascular disease (CVD) across multiple international studies.

METHODS: We performed harmonized, de novo, individual-level analyses in a global consortium of 30 prospective observational studies from 13 countries. Multivariable-adjusted associations of circulating and adipose tissue LA and AA biomarkers with incident total CVD and subtypes (coronary heart disease, ischemic stroke, cardiovascular mortality) were investigated according to a prespecified analytic plan. Levels of LA and AA, measured as the percentage of total fatty acids, were evaluated linearly according to their interquintile range (ie, the range between the midpoint of the first and fifth quintiles), and categorically by quintiles. Study-specific results were pooled using inverse-variance-weighted meta-analysis. Heterogeneity was explored by age, sex, race, diabetes mellitus, statin use, aspirin use, omega-3 levels, and fatty acid desaturase 1 genotype (when available).

RESULTS: In 30 prospective studies with medians of follow-up ranging 2.5 to 31.9 years, 15 198 incident cardiovascular events occurred among 68 659 participants. Higher levels of LA were significantly associated with lower risks of total CVD, cardiovascular mortality, and ischemic stroke, with hazard ratios per interquintile range of 0.93 (95\% CI, 0.88-0.99), 0.78 (0.70-0.85), and 0.88 (0.79-0.98), respectively, and nonsignificantly with lower coronary heart disease risk (0.94; 0.88-1.00). Relationships were similar for LA evaluated across quintiles. AA levels were not associated with higher risk of cardiovascular outcomes; in a comparison of extreme quintiles, higher levels were associated with lower risk of total CVD (0.92; 0.86-0.99). No consistent heterogeneity by population subgroups was identified in the observed relationships.

CONCLUSIONS: In pooled global analyses, higher in vivo circulating and tissue levels of LA and possibly AA were associated with lower risk of major cardiovascular events. These results support a favorable role for LA in CVD prevention.

}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.118.038908}, author = {Marklund, Matti and Wu, Jason H Y and Imamura, Fumiaki and Del Gobbo, Liana C and Fretts, Amanda and de Goede, Janette and Shi, Peilin and Tintle, Nathan and Wennberg, Maria and Aslibekyan, Stella and Chen, Tzu-An and de Oliveira Otto, Marcia C and Hirakawa, Yoichiro and Eriksen, Helle H{\o}jmark and Kr{\"o}ger, Janine and Laguzzi, Federica and Lankinen, Maria and Murphy, Rachel A and Prem, Kiesha and Samieri, Cecilia and Virtanen, Jyrki and Wood, Alexis C and Wong, Kerry and Yang, Wei-Sin and Zhou, Xia and Baylin, Ana and Boer, Jolanda M A and Brouwer, Ingeborg A and Campos, Hannia and Chaves, Paulo H M and Chien, Kuo-Liong and de Faire, Ulf and Djouss{\'e}, Luc and Eiriksdottir, Gudny and El-Abbadi, Naglaa and Forouhi, Nita G and Michael Gaziano, J and Geleijnse, Johanna M and Gigante, Bruna and Giles, Graham and Guallar, Eliseo and Gudnason, Vilmundur and Harris, Tamara and Harris, William S and Helmer, Catherine and Hellenius, Mai-Lis and Hodge, Allison and Hu, Frank B and Jacques, Paul F and Jansson, Jan-H{\r a}kan and Kalsbeek, Anya and Khaw, Kay-Tee and Koh, Woon-Puay and Laakso, Markku and Leander, Karin and Lin, Hung-Ju and Lind, Lars and Luben, Robert and Luo, Juhua and McKnight, Barbara and Mursu, Jaakko and Ninomiya, Toshiharu and Overvad, Kim and Psaty, Bruce M and Rimm, Eric and Schulze, Matthias B and Siscovick, David and Skjelbo Nielsen, Michael and Smith, Albert V and Steffen, Brian T and Steffen, Lyn and Sun, Qi and Sundstr{\"o}m, Johan and Tsai, Michael Y and Tunstall-Pedoe, Hugh and Uusitupa, Matti I J and van Dam, Rob M and Veenstra, Jenna and Monique Verschuren, W M and Wareham, Nick and Willett, Walter and Woodward, Mark and Yuan, Jian-Min and Micha, Renata and Lemaitre, Rozenn N and Mozaffarian, Dariush and Riserus, Ulf} } @article {8109, title = {A catalog of genetic loci associated with kidney function from analyses of a million individuals.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 06}, pages = {957-972}, abstract = {

Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.

}, keywords = {Chromosome Mapping, European Continental Ancestry Group, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Inheritance Patterns, Kidney Function Tests, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Quantitative Trait, Heritable, Renal Insufficiency, Chronic, Uromodulin}, issn = {1546-1718}, doi = {10.1038/s41588-019-0407-x}, author = {Wuttke, Matthias and Li, Yong and Li, Man and Sieber, Karsten B and Feitosa, Mary F and Gorski, Mathias and Tin, Adrienne and Wang, Lihua and Chu, Audrey Y and Hoppmann, Anselm and Kirsten, Holger and Giri, Ayush and Chai, Jin-Fang and Sveinbjornsson, Gardar and Tayo, Bamidele O and Nutile, Teresa and Fuchsberger, Christian and Marten, Jonathan and Cocca, Massimiliano and Ghasemi, Sahar and Xu, Yizhe and Horn, Katrin and Noce, Damia and van der Most, Peter J and Sedaghat, Sanaz and Yu, Zhi and Akiyama, Masato and Afaq, Saima and Ahluwalia, Tarunveer S and Almgren, Peter and Amin, Najaf and Arnl{\"o}v, Johan and Bakker, Stephan J L and Bansal, Nisha and Baptista, Daniela and Bergmann, Sven and Biggs, Mary L and Biino, Ginevra and Boehnke, Michael and Boerwinkle, Eric and Boissel, Mathilde and Bottinger, Erwin P and Boutin, Thibaud S and Brenner, Hermann and Brumat, Marco and Burkhardt, Ralph and Butterworth, Adam S and Campana, Eric and Campbell, Archie and Campbell, Harry and Canouil, Micka{\"e}l and Carroll, Robert J and Catamo, Eulalia and Chambers, John C and Chee, Miao-Ling and Chee, Miao-Li and Chen, Xu and Cheng, Ching-Yu and Cheng, Yurong and Christensen, Kaare and Cifkova, Renata and Ciullo, Marina and Concas, Maria Pina and Cook, James P and Coresh, Josef and Corre, Tanguy and Sala, Cinzia Felicita and Cusi, Daniele and Danesh, John and Daw, E Warwick and de Borst, Martin H and De Grandi, Alessandro and de Mutsert, Ren{\'e}e and de Vries, Aiko P J and Degenhardt, Frauke and Delgado, Graciela and Demirkan, Ayse and Di Angelantonio, Emanuele and Dittrich, Katalin and Divers, Jasmin and Dorajoo, Rajkumar and Eckardt, Kai-Uwe and Ehret, Georg and Elliott, Paul and Endlich, Karlhans and Evans, Michele K and Felix, Janine F and Foo, Valencia Hui Xian and Franco, Oscar H and Franke, Andre and Freedman, Barry I and Freitag-Wolf, Sandra and Friedlander, Yechiel and Froguel, Philippe and Gansevoort, Ron T and Gao, He and Gasparini, Paolo and Gaziano, J Michael and Giedraitis, Vilmantas and Gieger, Christian and Girotto, Giorgia and Giulianini, Franco and G{\"o}gele, Martin and Gordon, Scott D and Gudbjartsson, Daniel F and Gudnason, Vilmundur and Haller, Toomas and Hamet, Pavel and Harris, Tamara B and Hartman, Catharina A and Hayward, Caroline and Hellwege, Jacklyn N and Heng, Chew-Kiat and Hicks, Andrew A and Hofer, Edith and Huang, Wei and Hutri-K{\"a}h{\"o}nen, Nina and Hwang, Shih-Jen and Ikram, M Arfan and Indridason, Olafur S and Ingelsson, Erik and Ising, Marcus and Jaddoe, Vincent W V and Jakobsdottir, Johanna and Jonas, Jost B and Joshi, Peter K and Josyula, Navya Shilpa and Jung, Bettina and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kammerer, Candace M and Kanai, Masahiro and Kastarinen, Mika and Kerr, Shona M and Khor, Chiea-Chuen and Kiess, Wieland and Kleber, Marcus E and Koenig, Wolfgang and Kooner, Jaspal S and K{\"o}rner, Antje and Kovacs, Peter and Kraja, Aldi T and Krajcoviechova, Alena and Kramer, Holly and Kr{\"a}mer, Bernhard K and Kronenberg, Florian and Kubo, Michiaki and Kuhnel, Brigitte and Kuokkanen, Mikko and Kuusisto, Johanna and La Bianca, Martina and Laakso, Markku and Lange, Leslie A and Langefeld, Carl D and Lee, Jeannette Jen-Mai and Lehne, Benjamin and Lehtim{\"a}ki, Terho and Lieb, Wolfgang and Lim, Su-Chi and Lind, Lars and Lindgren, Cecilia M and Liu, Jun and Liu, Jianjun and Loeffler, Markus and Loos, Ruth J F and Lucae, Susanne and Lukas, Mary Ann and Lyytik{\"a}inen, Leo-Pekka and M{\"a}gi, Reedik and Magnusson, Patrik K E and Mahajan, Anubha and Martin, Nicholas G and Martins, Jade and M{\"a}rz, Winfried and Mascalzoni, Deborah and Matsuda, Koichi and Meisinger, Christa and Meitinger, Thomas and Melander, Olle and Metspalu, Andres and Mikaelsdottir, Evgenia K and Milaneschi, Yuri and Miliku, Kozeta and Mishra, Pashupati P and Mohlke, Karen L and Mononen, Nina and Montgomery, Grant W and Mook-Kanamori, Dennis O and Mychaleckyj, Josyf C and Nadkarni, Girish N and Nalls, Mike A and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M and Noordam, Raymond and O{\textquoteright}Connell, Jeffrey and O{\textquoteright}Donoghue, Michelle L and Olafsson, Isleifur and Oldehinkel, Albertine J and Orho-Melander, Marju and Ouwehand, Willem H and Padmanabhan, Sandosh and Palmer, Nicholette D and Palsson, Runolfur and Penninx, Brenda W J H and Perls, Thomas and Perola, Markus and Pirastu, Mario and Pirastu, Nicola and Pistis, Giorgio and Podgornaia, Anna I and Polasek, Ozren and Ponte, Belen and Porteous, David J and Poulain, Tanja and Pramstaller, Peter P and Preuss, Michael H and Prins, Bram P and Province, Michael A and Rabelink, Ton J and Raffield, Laura M and Raitakari, Olli T and Reilly, Dermot F and Rettig, Rainer and Rheinberger, Myriam and Rice, Kenneth M and Ridker, Paul M and Rivadeneira, Fernando and Rizzi, Federica and Roberts, David J and Robino, Antonietta and Rossing, Peter and Rudan, Igor and Rueedi, Rico and Ruggiero, Daniela and Ryan, Kathleen A and Saba, Yasaman and Sabanayagam, Charumathi and Salomaa, Veikko and Salvi, Erika and Saum, Kai-Uwe and Schmidt, Helena and Schmidt, Reinhold and Sch{\"o}ttker, Ben and Schulz, Christina-Alexandra and Schupf, Nicole and Shaffer, Christian M and Shi, Yuan and Smith, Albert V and Smith, Blair H and Soranzo, Nicole and Spracklen, Cassandra N and Strauch, Konstantin and Stringham, Heather M and Stumvoll, Michael and Svensson, Per O and Szymczak, Silke and Tai, E-Shyong and Tajuddin, Salman M and Tan, Nicholas Y Q and Taylor, Kent D and Teren, Andrej and Tham, Yih-Chung and Thiery, Joachim and Thio, Chris H L and Thomsen, Hauke and Thorleifsson, Gudmar and Toniolo, Daniela and T{\"o}njes, Anke and Tremblay, Johanne and Tzoulaki, Ioanna and Uitterlinden, Andr{\'e} G and Vaccargiu, Simona and van Dam, Rob M and van der Harst, Pim and van Duijn, Cornelia M and Velez Edward, Digna R and Verweij, Niek and Vogelezang, Suzanne and V{\"o}lker, Uwe and Vollenweider, Peter and Waeber, G{\'e}rard and Waldenberger, Melanie and Wallentin, Lars and Wang, Ya Xing and Wang, Chaolong and Waterworth, Dawn M and Bin Wei, Wen and White, Harvey and Whitfield, John B and Wild, Sarah H and Wilson, James F and Wojczynski, Mary K and Wong, Charlene and Wong, Tien-Yin and Xu, Liang and Yang, Qiong and Yasuda, Masayuki and Yerges-Armstrong, Laura M and Zhang, Weihua and Zonderman, Alan B and Rotter, Jerome I and Bochud, Murielle and Psaty, Bruce M and Vitart, Veronique and Wilson, James G and Dehghan, Abbas and Parsa, Afshin and Chasman, Daniel I and Ho, Kevin and Morris, Andrew P and Devuyst, Olivier and Akilesh, Shreeram and Pendergrass, Sarah A and Sim, Xueling and B{\"o}ger, Carsten A and Okada, Yukinori and Edwards, Todd L and Snieder, Harold and Stefansson, Kari and Hung, Adriana M and Heid, Iris M and Scholz, Markus and Teumer, Alexander and K{\"o}ttgen, Anna and Pattaro, Cristian} } @article {8097, title = {Discriminative Accuracy of FEV1:FVC Thresholds for COPD-Related Hospitalization and Mortality.}, journal = {JAMA}, volume = {321}, year = {2019}, month = {2019 06 25}, pages = {2438-2447}, abstract = {

Importance: According to numerous current guidelines, the diagnosis of chronic obstructive pulmonary disease (COPD) requires a ratio of the forced expiratory volume in the first second to the forced vital capacity (FEV1:FVC) of less than 0.70, yet this fixed threshold is based on expert opinion and remains controversial.

Objective: To determine the discriminative accuracy of various FEV1:FVC fixed thresholds for predicting COPD-related hospitalization and mortality.

Design, Setting, and Participants: The National Heart, Lung, and Blood Institute (NHLBI) Pooled Cohorts Study harmonized and pooled data from 4 US general population-based cohorts (Atherosclerosis Risk in Communities Study; Cardiovascular Health Study; Health, Aging, and Body Composition Study; and Multi-Ethnic Study of Atherosclerosis). Participants aged 45 to 102 years were enrolled from 1987 to 2000 and received follow-up longitudinally through 2016.

Exposures: Presence of airflow obstruction, which was defined by a baseline FEV1:FVC less than a range of fixed thresholds (0.75 to 0.65) or less than the lower limit of normal as defined by Global Lung Initiative reference equations (LLN).

Main Outcomes and Measures: The primary outcome was a composite of COPD hospitalization and COPD-related mortality, defined by adjudication or administrative criteria. The optimal fixed FEV1:FVC threshold was defined by the best discrimination for these COPD-related events as indexed using the Harrell C statistic from unadjusted Cox proportional hazards models. Differences in C statistics were compared with respect to less than 0.70 and less than LLN thresholds using a nonparametric approach.

Results: Among 24 207 adults in the pooled cohort (mean [SD] age at enrollment, 63 [10.5] years; 12 990 [54\%] women; 16 794 [69\%] non-Hispanic white; 15 181 [63\%] ever smokers), complete follow-up was available for 11 077 (77\%) at 15 years. During a median follow-up of 15 years, 3925 participants experienced COPD-related events over 340 757 person-years of follow-up (incidence density rate, 11.5 per 1000 person-years), including 3563 COPD-related hospitalizations and 447 COPD-related deaths. With respect to discrimination of COPD-related events, the optimal fixed threshold (0.71; C statistic for optimal fixed threshold, 0.696) was not significantly different from the 0.70 threshold (difference, 0.001 [95\% CI, -0.002 to 0.004]) but was more accurate than the LLN threshold (difference, 0.034 [95\% CI, 0.028 to 0.041]). The 0.70 threshold provided optimal discrimination in the subgroup analysis of ever smokers and in adjusted models.

Conclusions and Relevance: Defining airflow obstruction as FEV1:FVC less than 0.70 provided discrimination of COPD-related hospitalization and mortality that was not significantly different or was more accurate than other fixed thresholds and the LLN. These results support the use of FEV1:FVC less than 0.70 to identify individuals at risk of clinically significant COPD.

}, keywords = {Aged, Aged, 80 and over, Cohort Studies, Female, Forced Expiratory Volume, Hospitalization, Humans, Male, Middle Aged, Prognosis, Proportional Hazards Models, Pulmonary Disease, Chronic Obstructive, Risk Assessment, Vital Capacity}, issn = {1538-3598}, doi = {10.1001/jama.2019.7233}, author = {Bhatt, Surya P and Balte, Pallavi P and Schwartz, Joseph E and Cassano, Patricia A and Couper, David and Jacobs, David R and Kalhan, Ravi and O{\textquoteright}Connor, George T and Yende, Sachin and Sanders, Jason L and Umans, Jason G and Dransfield, Mark T and Chaves, Paulo H and White, Wendy B and Oelsner, Elizabeth C} } @article {7974, title = {Disentangling the genetics of lean mass.}, journal = {Am J Clin Nutr}, volume = {109}, year = {2019}, month = {2019 Feb 01}, pages = {276-287}, abstract = {

Background: Lean body mass (LM) plays an important role in mobility and metabolic function. We previously identified five loci associated with LM adjusted for fat mass in kilograms. Such an adjustment may reduce the power to identify genetic signals having an association with both lean mass and fat mass.

Objectives: To determine the impact of different fat mass adjustments on genetic architecture of LM and identify additional LM loci.

Methods: We performed genome-wide association analyses for whole-body LM (20 cohorts of European ancestry with n~=~38,292) measured using dual-energy X-ray absorptiometry) or bioelectrical impedance analysis, adjusted for sex, age, age2, and height with or without fat mass adjustments (Model 1 no fat adjustment; Model 2 adjustment for fat mass as a percentage of body mass; Model 3 adjustment for fat mass in kilograms).

Results: Seven single-nucleotide polymorphisms (SNPs) in separate loci, including one novel LM locus (TNRC6B), were successfully replicated in an additional 47,227 individuals from 29 cohorts. Based on the strengths of the associations in Model 1 vs Model 3, we divided the LM loci into those with an effect on both lean mass and fat mass in the same direction and refer to those as "sumo wrestler" loci (FTO and MC4R). In contrast, loci with an impact specifically on LM were termed "body builder" loci (VCAN and ADAMTSL3). Using existing available genome-wide association study databases, LM increasing alleles of SNPs in sumo wrestler loci were associated with an adverse metabolic profile, whereas LM increasing alleles of SNPs in "body builder" loci were associated with metabolic protection.

Conclusions: In conclusion, we identified one novel LM locus (TNRC6B). Our results suggest that a genetically determined increase in lean mass might exert either harmful or protective effects on metabolic traits, depending on its relation to fat mass.

}, issn = {1938-3207}, doi = {10.1093/ajcn/nqy272}, author = {Karasik, David and Zillikens, M Carola and Hsu, Yi-Hsiang and Aghdassi, Ali and {\r A}kesson, Kristina and Amin, Najaf and Barroso, In{\^e}s and Bennett, David A and Bertram, Lars and Bochud, Murielle and Borecki, Ingrid B and Broer, Linda and Buchman, Aron S and Byberg, Liisa and Campbell, Harry and Campos-Obando, Natalia and Cauley, Jane A and Cawthon, Peggy M and Chambers, John C and Chen, Zhao and Cho, Nam H and Choi, Hyung Jin and Chou, Wen-Chi and Cummings, Steven R and de Groot, Lisette C P G M and De Jager, Phillip L and Demuth, Ilja and Diatchenko, Luda and Econs, Michael J and Eiriksdottir, Gudny and Enneman, Anke W and Eriksson, Joel and Eriksson, Johan G and Estrada, Karol and Evans, Daniel S and Feitosa, Mary F and Fu, Mao and Gieger, Christian and Grallert, Harald and Gudnason, Vilmundur and Lenore, Launer J and Hayward, Caroline and Hofman, Albert and Homuth, Georg and Huffman, Kim M and Husted, Lise B and Illig, Thomas and Ingelsson, Erik and Ittermann, Till and Jansson, John-Olov and Johnson, Toby and Biffar, Reiner and Jordan, Joanne M and Jula, Antti and Karlsson, Magnus and Khaw, Kay-Tee and Kilpel{\"a}inen, Tuomas O and Klopp, Norman and Kloth, Jacqueline S L and Koller, Daniel L and Kooner, Jaspal S and Kraus, William E and Kritchevsky, Stephen and Kutalik, Zolt{\'a}n and Kuulasmaa, Teemu and Kuusisto, Johanna and Laakso, Markku and Lahti, Jari and Lang, Thomas and Langdahl, Bente L and Lerch, Markus M and Lewis, Joshua R and Lill, Christina and Lind, Lars and Lindgren, Cecilia and Liu, Yongmei and Livshits, Gregory and Ljunggren, Osten and Loos, Ruth J F and Lorentzon, Mattias and Luan, Jian{\textquoteright}an and Luben, Robert N and Malkin, Ida and McGuigan, Fiona E and Medina-G{\'o}mez, Carolina and Meitinger, Thomas and Melhus, H{\r a}kan and Mellstr{\"o}m, Dan and Micha{\"e}lsson, Karl and Mitchell, Braxton D and Morris, Andrew P and Mosekilde, Leif and Nethander, Maria and Newman, Anne B and O{\textquoteright}Connell, Jeffery R and Oostra, Ben A and Orwoll, Eric S and Palotie, Aarno and Peacock, Munro and Perola, Markus and Peters, Annette and Prince, Richard L and Psaty, Bruce M and R{\"a}ikk{\"o}nen, Katri and Ralston, Stuart H and Ripatti, Samuli and Rivadeneira, Fernando and Robbins, John A and Rotter, Jerome I and Rudan, Igor and Salomaa, Veikko and Satterfield, Suzanne and Schipf, Sabine and Shin, Chan Soo and Smith, Albert V and Smith, Shad B and Soranzo, Nicole and Spector, Timothy D and Stan{\v c}{\'a}kov{\'a}, Alena and Stefansson, Kari and Steinhagen-Thiessen, Elisabeth and Stolk, Lisette and Streeten, Elizabeth A and Styrkarsdottir, Unnur and Swart, Karin M A and Thompson, Patricia and Thomson, Cynthia A and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tikkanen, Emmi and Tranah, Gregory J and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and van Schoor, Natasja M and Vandenput, Liesbeth and Vollenweider, Peter and V{\"o}lzke, Henry and Wactawski-Wende, Jean and Walker, Mark and J Wareham, Nicholas and Waterworth, Dawn and Weedon, Michael N and Wichmann, H-Erich and Widen, Elisabeth and Williams, Frances M K and Wilson, James F and Wright, Nicole C and Yerges-Armstrong, Laura M and Yu, Lei and Zhang, Weihua and Zhao, Jing Hua and Zhou, Yanhua and Nielson, Carrie M and Harris, Tamara B and Demissie, Serkalem and Kiel, Douglas P and Ohlsson, Claes} } @article {8526, title = {{Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies}, journal = {Eur Heart J}, volume = {40}, year = {2019}, month = {02}, pages = {621{\textendash}631}, abstract = {There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after {\textquoteright}recalibration{\textquoteright}, a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied.\ Using individual-participant data on 360 737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at {\textquoteright}high{\textquoteright} 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE over-predicted CVD risk on average by 10\%, 52\%, and 41\%, respectively, whereas RRS under-predicted by 10\%. Original versions of algorithms classified 29-39\% of individuals aged {\^a}{\textperthousand}{\textyen}40 years as high risk. By contrast, recalibration reduced this proportion to 22-24\% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44-51 such individuals using original algorithms, in contrast to 37-39 individuals with recalibrated algorithms.\ Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need.}, author = {Pennells, L. and Kaptoge, S. and Wood, A. and Sweeting, M. and Zhao, X. and White, I. and Burgess, S. and Willeit, P. and Bolton, T. and Moons, K. G. M. and van der Schouw, Y. T. and Selmer, R. and Khaw, K. T. and Gudnason, V. and Assmann, G. and Amouyel, P. and Salomaa, V. and Kivimaki, M. and Nordestgaard, B. G. and Blaha, M. J. and Kuller, L. H. and Brenner, H. and Gillum, R. F. and Meisinger, C. and Ford, I. and Knuiman, M. W. and Rosengren, A. and Lawlor, D. A. and V?lzke, H. and Cooper, C. and Mar?n Iba?ez, A. and Casiglia, E. and Kauhanen, J. and Cooper, J. A. and Rodriguez, B. and Sundstr?m, J. and Barrett-Connor, E. and Dankner, R. and Nietert, P. J. and Davidson, K. W. and Wallace, R. B. and Blazer, D. G. and Bj?rkelund, C. and Donfrancesco, C. and Krumholz, H. M. and Nissinen, A. and Davis, B. R. and Coady, S. and Whincup, P. H. and J?rgensen, T. and Ducimetiere, P. and Trevisan, M. and Engstr?m, G. and Crespo, C. J. and Meade, T. W. and Visser, M. and Kromhout, D. and Kiechl, S. and Daimon, M. and Price, J. F. and G?mez de la C?mara, A. and Wouter Jukema, J. and Lamarche, B. and Onat, A. and Simons, L. A. and Kavousi, M. and Ben-Shlomo, Y. and Gallacher, J. and Dekker, J. M. and Arima, H. and Shara, N. and Tipping, R. W. and Roussel, R. and Brunner, E. J. and Koenig, W. and Sakurai, M. and Pavlovic, J. and Gansevoort, R. T. and Nagel, D. and Goldbourt, U. and Barr, E. L. M. and Palmieri, L. and Nj?lstad, I. and Sato, S. and Monique Verschuren, W. M. and Varghese, C. V. and Graham, I. and Onuma, O. and Greenland, P. and Woodward, M. and Ezzati, M. and Psaty, B. M. and Sattar, N. and Jackson, R. and Ridker, P. M. and Cook, N. R. and D{\textquoteright}Agostino, R. B. and Thompson, S. G. and Danesh, J. and Di Angelantonio, E. and Tipping, R. W. and Simpson, L. M. and Pressel, S. L. and Couper, D. J. and Nambi, V. and Matsushita, K. and Folsom, A. R. and Shaw, J. E. and Magliano, D. J. and Zimmet, P. Z. and Knuiman, M. W. and Whincup, P. H. and Wannamethee, S. G. and Willeit, J. and Santer, P. and Egger, G. and Casas, J. P. and Amuzu, A. and Ben-Shlomo, Y. and Gallacher, J. and Tikhonoff, V. and Casiglia, E. and Sutherland, S. E. and Nietert, P. J. and Cushman, M. and Psaty, B. M. and S?gaard, A. J. and H?heim, L. L. and Ariansen, I. and Tybj?rg-Hansen, A. and Jensen, G. B. and Schnohr, P. and Giampaoli, S. and Vanuzzo, D. and Panico, S. and Palmieri, L. and Balkau, B. and Bonnet, F. and Marre, M. and de la C?mara, A. G. and Rubio Herrera, M. A. and Friedlander, Y. and McCallum, J. and McLachlan, S. and Guralnik, J. and Phillips, C. L. and Khaw, K. T. and Wareham, N. and Sch?ttker, B. and Saum, K. U. and Holleczek, B. and Nissinen, A. and Tolonen, H. and Giampaoli, S. and Donfrancesco, C. and Vartiainen, E. and Jousilahti, P. and Harald, K. and D?Agostino, R. B. and Massaro, J. M. and Pencina, M. and Vasan, R. and Kayama, T. and Kato, T. and Oizumi, T. and Jespersen, J. and M?ller, L. and Bladbjerg, E. M. and Chetrit, A. and Rosengren, A. and Wilhelmsen, L. and Bj?rkelund, C. and Lissner, L. and Nagel, D. and Dennison, E. and Kiyohara, Y. and Ninomiya, T. and Doi, Y. and Rodriguez, B. and Nijpels, G. and Stehouwer, C. D. A. and Sato, S. and Kazumasa, Y. and Iso, H. and Goldbourt, U. and Salomaa, V. and Vartiainen, E. and Kurl, S. and Tuomainen, T. P. and Salonen, J. T. and Visser, M. and Deeg, D. J. H. and Meade, T. W. and Nilsson, P. M. and Hedblad, B. and Melander, O. and De Boer, I. H. and DeFilippis, A. P. and Verschuren, W. M. M. and Sattar, N. and Watt, G. and Meisinger, C. and Koenig, W. and Rosengren, A. and Kuller, L. H. and Tverdal, A. and Gillum, R. F. and Cooper, J. A. and Kirkland, S. and Shimbo, D. and Shaffer, J. and Sato, S. and Kazumasa, Y. and Iso, H. and Ducimetiere, P. and Bakker, S. J. L. and van der Harst, P. and Hillege, H. L. and Crespo, C. J. and Amouyel, P. and Dallongeville, J. and Assmann, G. and Schulte, H. and Trompet, S. and Smit, R. A. J. and Stott, D. J. and van der Schouw, Y. T. and Despr?s, J. P. and Cantin, B. and Dagenais, G. R. and Laughlin, G. and Wingard, D. and Trevisan, M. and Aspelund, T. and Eiriksdottir, G. and Gudmundsson, E. F. and Ikram, A. and van Rooij, F. J. A. and Franco, O. H. and Rueda-Ochoa, O. L. and Muka, T. and Glisic, M. and Tunstall-Pedoe, H. and V?lzke, H. and Howard, B. V. and Zhang, Y. and Jolly, S. and Gallacher, J. and Davey-Smith, G. and Can, G. and Y?ksel, H. and Nakagawa, H. and Morikawa, Y. and Miura, K. and Nj?lstad, I. and Ingelsson, M. and Giedraitis, V. and Ridker, P. M. and Gaziano, J. M. and Kivimaki, M. and Shipley, M. and Brunner, E. J. and Arndt, V. and Brenner, H. and Cook, N. and Ridker, P. M. and Ford, I. and Sattar, N. and Iba?ez, A. M. and Geleijnse, J. M.} } @article {8515, title = {{Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls}, journal = {Nature}, volume = {570}, year = {2019}, month = {06}, pages = {71{\textendash}76}, abstract = {Protein-coding genetic variants that strongly affect disease risk can yield relevant clues to disease pathogenesis. Here we report exome-sequencing analyses of 20,791 individuals with type 2 diabetes (T2D) and 24,440 non-diabetic control participants from 5 ancestries. We identify gene-level associations of rare variants (with minor allele frequencies of less than 0.5\%) in 4 genes at exome-wide significance, including a series of more than 30 SLC30A8 alleles that conveys protection against T2D, and in 12 gene sets, including those corresponding to T2D drug targets (P = 6.1 {\~A}{\textemdash} 10-3) and candidate genes from knockout mice (P = 5.2 {\~A}{\textemdash} 10-3). Within our study, the strongest T2D gene-level signals for rare variants explain at most 25\% of the heritability of the strongest common single-variant signals, and the gene-level effect sizes of the rare variants that we observed in established T2D drug targets will require 75,000-185,000 sequenced cases to achieve exome-wide significance. We propose a method to interpret these modest rare-variant associations and to incorporate these associations into future target or gene prioritization efforts.}, author = {Flannick, J. and Mercader, J. M. and Fuchsberger, C. and Udler, M. S. and Mahajan, A. and Wessel, J. and Teslovich, T. M. and Caulkins, L. and Koesterer, R. and Barajas-Olmos, F. and Blackwell, T. W. and Boerwinkle, E. and Brody, J. A. and Centeno-Cruz, F. and Chen, L. and Chen, S. and Contreras-Cubas, C. and C?rdova, E. and Correa, A. and Cortes, M. and DeFronzo, R. A. and Dolan, L. and Drews, K. L. and Elliott, A. and Floyd, J. S. and Gabriel, S. and Garay-Sevilla, M. E. and Garc?a-Ortiz, H. and Gross, M. and Han, S. and Heard-Costa, N. L. and Jackson, A. U. and J?rgensen, M. E. and Kang, H. M. and Kelsey, M. and Kim, B. J. and Koistinen, H. A. and Kuusisto, J. and Leader, J. B. and Linneberg, A. and Liu, C. T. and Liu, J. and Lyssenko, V. and Manning, A. K. and Marcketta, A. and Malacara-Hernandez, J. M. and Mart?nez-Hern?ndez, A. and Matsuo, K. and Mayer-Davis, E. and Mendoza-Caamal, E. and Mohlke, K. L. and Morrison, A. C. and Ndungu, A. and Ng, M. C. Y. and O{\textquoteright}Dushlaine, C. and Payne, A. J. and Pihoker, C. and Post, W. S. and Preuss, M. and Psaty, B. M. and Vasan, R. S. and Rayner, N. W. and Reiner, A. P. and Revilla-Monsalve, C. and Robertson, N. R. and Santoro, N. and Schurmann, C. and So, W. Y. and Sober?n, X. and Stringham, H. M. and Strom, T. M. and Tam, C. H. T. and Thameem, F. and Tomlinson, B. and Torres, J. M. and Tracy, R. P. and van Dam, R. M. and Vujkovic, M. and Wang, S. and Welch, R. P. and Witte, D. R. and Wong, T. Y. and Atzmon, G. and Barzilai, N. and Blangero, J. and Bonnycastle, L. L. and Bowden, D. W. and Chambers, J. C. and Chan, E. and Cheng, C. Y. and Cho, Y. S. and Collins, F. S. and de Vries, P. S. and Duggirala, R. and Glaser, B. and Gonzalez, C. and Gonzalez, M. E. and Groop, L. and Kooner, J. S. and Kwak, S. H. and Laakso, M. and Lehman, D. M. and Nilsson, P. and Spector, T. D. and Tai, E. S. and Tuomi, T. and Tuomilehto, J. and Wilson, J. G. and Aguilar-Salinas, C. A. and Bottinger, E. and Burke, B. and Carey, D. J. and Chan, J. C. N. and Dupuis, J. and Frossard, P. and Heckbert, S. R. and Hwang, M. Y. and Kim, Y. J. and Kirchner, H. L. and Lee, J. Y. and Lee, J. and Loos, R. J. F. and Ma, R. C. W. and Morris, A. D. and O{\textquoteright}Donnell, C. J. and Palmer, C. N. A. and Pankow, J. and Park, K. S. and Rasheed, A. and Saleheen, D. and Sim, X. and Small, K. S. and Teo, Y. Y. and Haiman, C. and Hanis, C. L. and Henderson, B. E. and Orozco, L. and Tusi?-Luna, T. and Dewey, F. E. and Baras, A. and Gieger, C. and Meitinger, T. and Strauch, K. and Lange, L. and Grarup, N. and Hansen, T. and Pedersen, O. and Zeitler, P. and Dabelea, D. and Abecasis, G. and Bell, G. I. and Cox, N. J. and Seielstad, M. and Sladek, R. and Meigs, J. B. and Rich, S. S. and Rotter, J. I. and Altshuler, D. and Burtt, N. P. and Scott, L. J. and Morris, A. P. and Florez, J. C. and McCarthy, M. I. and Boehnke, M.} } @article {9374, title = {{Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology}, journal = {Am J Hum Genet}, volume = {105}, year = {2019}, month = {Jul}, pages = {15{\textendash}28}, abstract = {) with at least one obesity or lipid trait. Candidate genes include PRKAR2A, PTH1R, and HDAC9, which have been suggested to play roles in adipocyte differentiation or bone marrow adipose tissue. Taken together, these findings provide further insights into the processes that influence circulating adiponectin levels.}, author = {Spracklen, C. N. and Karaderi, T. and Yaghootkar, H. and Schurmann, C. and Fine, R. S. and Kutalik, Z. and Preuss, M. H. and Lu, Y. and Wittemans, L. B. L. and Adair, L. S. and Allison, M. and Amin, N. and Auer, P. L. and Bartz, T. M. and her, M. and Boehnke, M. and Borja, J. B. and Bork-Jensen, J. and Broer, L. and Chasman, D. I. and Chen, Y. I. and Chirstofidou, P. and Demirkan, A. and van Duijn, C. M. and Feitosa, M. F. and Garcia, M. E. and Graff, M. and Grallert, H. and Grarup, N. and Guo, X. and Haesser, J. and Hansen, T. and Harris, T. B. and Highland, H. M. and Hong, J. and Ikram, M. A. and Ingelsson, E. and Jackson, R. and Jousilahti, P. and nen, M. and Kizer, J. R. and Kovacs, P. and Kriebel, J. and Laakso, M. and Lange, L. A. and ki, T. and Li, J. and Li-Gao, R. and Lind, L. and Luan, J. and inen, L. P. and MacGregor, S. and Mackey, D. A. and Mahajan, A. and Mangino, M. and {\"o}, S. and McCarthy, M. I. and McKnight, B. and Medina-Gomez, C. and Meigs, J. B. and Molnos, S. and Mook-Kanamori, D. and Morris, A. P. and de Mutsert, R. and Nalls, M. A. and Nedeljkovic, I. and North, K. E. and Pennell, C. E. and Pradhan, A. D. and Province, M. A. and Raitakari, O. T. and Raulerson, C. K. and Reiner, A. P. and Ridker, P. M. and Ripatti, S. and Roberston, N. and Rotter, J. I. and Salomaa, V. and rate, A. A. and Sitlani, C. M. and Spector, T. D. and Strauch, K. and Stumvoll, M. and Taylor, K. D. and Thuesen, B. and njes, A. and Uitterlinden, A. G. and Venturini, C. and Walker, M. and Wang, C. A. and Wang, S. and Wareham, N. J. and Willems, S. M. and Willems van Dijk, K. and Wilson, J. G. and Wu, Y. and Yao, J. and Young, K. L. and Langenberg, C. and Frayling, T. M. and inen, T. O. and Lindgren, C. M. and Loos, R. J. F. and Mohlke, K. L.} } @article {9391, title = {{Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology}, journal = {Am J Hum Genet}, volume = {105}, year = {2019}, month = {Sep}, pages = {670{\textendash}671}, author = {Spracklen, C. N. and Karaderi, T. and Yaghootkar, H. and Schurmann, C. and Fine, R. S. and Kutalik, Z. and Preuss, M. H. and Lu, Y. and Wittemans, L. B. L. and Adair, L. S. and Allison, M. and Amin, N. and Auer, P. L. and Bartz, T. M. and her, M. and Boehnke, M. and Borja, J. B. and Bork-Jensen, J. and Broer, L. and Chasman, D. I. and Chen, Y. I. and Chirstofidou, P. and Demirkan, A. and van Duijn, C. M. and Feitosa, M. F. and Garcia, M. E. and Graff, M. and Grallert, H. and Grarup, N. and Guo, X. and Haesser, J. and Hansen, T. and Harris, T. B. and Highland, H. M. and Hong, J. and Ikram, M. A. and Ingelsson, E. and Jackson, R. and Jousilahti, P. and nen, M. and Kizer, J. R. and Kovacs, P. and Kriebel, J. and Laakso, M. and Lange, L. A. and ki, T. and Li, J. and Li-Gao, R. and Lind, L. and Luan, J. and inen, L. P. and MacGregor, S. and Mackey, D. A. and Mahajan, A. and Mangino, M. and {\"o}, S. and McCarthy, M. I. and McKnight, B. and Medina-Gomez, C. and Meigs, J. B. and Molnos, S. and Mook-Kanamori, D. and Morris, A. P. and de Mutsert, R. and Nalls, M. A. and Nedeljkovic, I. and North, K. E. and Pennell, C. E. and Pradhan, A. D. and Province, M. A. and Raitakari, O. T. and Raulerson, C. K. and Reiner, A. P. and Ridker, P. M. and Ripatti, S. and Roberston, N. and Rotter, J. I. and Salomaa, V. and rate, A. A. and Sitlani, C. M. and Spector, T. D. and Strauch, K. and Stumvoll, M. and Taylor, K. D. and Thuesen, B. and njes, A. and Uitterlinden, A. G. and Venturini, C. and Walker, M. and Wang, C. A. and Wang, S. and Wareham, N. J. and Willems, S. M. and Willems van Dijk, K. and Wilson, J. G. and Wu, Y. and Yao, J. and Young, K. L. and Langenberg, C. and Frayling, T. M. and inen, T. O. and Lindgren, C. M. and Loos, R. J. F. and Mohlke, K. L.} } @article {8206, title = {Genetic architecture of subcortical brain structures in 38,851 individuals.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Nov}, pages = {1624-1636}, abstract = {

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

}, issn = {1546-1718}, doi = {10.1038/s41588-019-0511-y}, author = {Satizabal, Claudia L and Adams, Hieab H H and Hibar, Derrek P and White, Charles C and Knol, Maria J and Stein, Jason L and Scholz, Markus and Sargurupremraj, Muralidharan and Jahanshad, Neda and Roshchupkin, Gennady V and Smith, Albert V and Bis, Joshua C and Jian, Xueqiu and Luciano, Michelle and Hofer, Edith and Teumer, Alexander and van der Lee, Sven J and Yang, Jingyun and Yanek, Lisa R and Lee, Tom V and Li, Shuo and Hu, Yanhui and Koh, Jia Yu and Eicher, John D and Desrivi{\`e}res, Sylvane and Arias-Vasquez, Alejandro and Chauhan, Ganesh and Athanasiu, Lavinia and Renter{\'\i}a, Miguel E and Kim, Sungeun and Hoehn, David and Armstrong, Nicola J and Chen, Qiang and Holmes, Avram J and den Braber, Anouk and Kloszewska, Iwona and Andersson, Micael and Espeseth, Thomas and Grimm, Oliver and Abramovic, Lucija and Alhusaini, Saud and Milaneschi, Yuri and Papmeyer, Martina and Axelsson, Tomas and Ehrlich, Stefan and Roiz-Santia{\~n}ez, Roberto and Kraemer, Bernd and H{\r a}berg, Asta K and Jones, Hannah J and Pike, G Bruce and Stein, Dan J and Stevens, Allison and Bralten, Janita and Vernooij, Meike W and Harris, Tamara B and Filippi, Irina and Witte, A Veronica and Guadalupe, Tulio and Wittfeld, Katharina and Mosley, Thomas H and Becker, James T and Doan, Nhat Trung and Hagenaars, Saskia P and Saba, Yasaman and Cuellar-Partida, Gabriel and Amin, Najaf and Hilal, Saima and Nho, Kwangsik and Mirza-Schreiber, Nazanin and Arfanakis, Konstantinos and Becker, Diane M and Ames, David and Goldman, Aaron L and Lee, Phil H and Boomsma, Dorret I and Lovestone, Simon and Giddaluru, Sudheer and Le Hellard, Stephanie and Mattheisen, Manuel and Bohlken, Marc M and Kasperaviciute, Dalia and Schmaal, Lianne and Lawrie, Stephen M and Agartz, Ingrid and Walton, Esther and Tordesillas-Gutierrez, Diana and Davies, Gareth E and Shin, Jean and Ipser, Jonathan C and Vinke, Louis N and Hoogman, Martine and Jia, Tianye and Burkhardt, Ralph and Klein, Marieke and Crivello, Fabrice and Janowitz, Deborah and Carmichael, Owen and Haukvik, Unn K and Aribisala, Benjamin S and Schmidt, Helena and Strike, Lachlan T and Cheng, Ching-Yu and Risacher, Shannon L and P{\"u}tz, Benno and Fleischman, Debra A and Assareh, Amelia A and Mattay, Venkata S and Buckner, Randy L and Mecocci, Patrizia and Dale, Anders M and Cichon, Sven and Boks, Marco P and Matarin, Mar and Penninx, Brenda W J H and Calhoun, Vince D and Chakravarty, M Mallar and Marquand, Andre F and Macare, Christine and Kharabian Masouleh, Shahrzad and Oosterlaan, Jaap and Amouyel, Philippe and Hegenscheid, Katrin and Rotter, Jerome I and Schork, Andrew J and Liewald, David C M and de Zubicaray, Greig I and Wong, Tien Yin and Shen, Li and S{\"a}mann, Philipp G and Brodaty, Henry and Roffman, Joshua L and de Geus, Eco J C and Tsolaki, Magda and Erk, Susanne and van Eijk, Kristel R and Cavalleri, Gianpiero L and van der Wee, Nic J A and McIntosh, Andrew M and Gollub, Randy L and Bulayeva, Kazima B and Bernard, Manon and Richards, Jennifer S and Himali, Jayandra J and Loeffler, Markus and Rommelse, Nanda and Hoffmann, Wolfgang and Westlye, Lars T and Vald{\'e}s Hern{\'a}ndez, Maria C and Hansell, Narelle K and van Erp, Theo G M and Wolf, Christiane and Kwok, John B J and Vellas, Bruno and Heinz, Andreas and Olde Loohuis, Loes M and Delanty, Norman and Ho, Beng-Choon and Ching, Christopher R K and Shumskaya, Elena and Singh, Baljeet and Hofman, Albert and van der Meer, Dennis and Homuth, Georg and Psaty, Bruce M and Bastin, Mark E and Montgomery, Grant W and Foroud, Tatiana M and Reppermund, Simone and Hottenga, Jouke-Jan and Simmons, Andrew and Meyer-Lindenberg, Andreas and Cahn, Wiepke and Whelan, Christopher D and van Donkelaar, Marjolein M J and Yang, Qiong and Hosten, Norbert and Green, Robert C and Thalamuthu, Anbupalam and Mohnke, Sebastian and Hulshoff Pol, Hilleke E and Lin, Honghuang and Jack, Clifford R and Schofield, Peter R and M{\"u}hleisen, Thomas W and Maillard, Pauline and Potkin, Steven G and Wen, Wei and Fletcher, Evan and Toga, Arthur W and Gruber, Oliver and Huentelman, Matthew and Davey Smith, George and Launer, Lenore J and Nyberg, Lars and J{\"o}nsson, Erik G and Crespo-Facorro, Benedicto and Koen, Nastassja and Greve, Douglas N and Uitterlinden, Andr{\'e} G and Weinberger, Daniel R and Steen, Vidar M and Fedko, Iryna O and Groenewold, Nynke A and Niessen, Wiro J and Toro, Roberto and Tzourio, Christophe and Longstreth, William T and Ikram, M Kamran and Smoller, Jordan W and van Tol, Marie-Jose and Sussmann, Jessika E and Paus, Tom{\'a}{\v s} and Lema{\^\i}tre, Herv{\'e} and Schroeter, Matthias L and Mazoyer, Bernard and Andreassen, Ole A and Holsboer, Florian and Depondt, Chantal and Veltman, Dick J and Turner, Jessica A and Pausova, Zdenka and Schumann, Gunter and van Rooij, Daan and Djurovic, Srdjan and Deary, Ian J and McMahon, Katie L and M{\"u}ller-Myhsok, Bertram and Brouwer, Rachel M and Soininen, Hilkka and Pandolfo, Massimo and Wassink, Thomas H and Cheung, Joshua W and Wolfers, Thomas and Martinot, Jean-Luc and Zwiers, Marcel P and Nauck, Matthias and Melle, Ingrid and Martin, Nicholas G and Kanai, Ryota and Westman, Eric and Kahn, Ren{\'e} S and Sisodiya, Sanjay M and White, Tonya and Saremi, Arvin and van Bokhoven, Hans and Brunner, Han G and V{\"o}lzke, Henry and Wright, Margaret J and van {\textquoteright}t Ent, Dennis and N{\"o}then, Markus M and Ophoff, Roel A and Buitelaar, Jan K and Fern{\'a}ndez, Guill{\'e}n and Sachdev, Perminder S and Rietschel, Marcella and van Haren, Neeltje E M and Fisher, Simon E and Beiser, Alexa S and Francks, Clyde and Saykin, Andrew J and Mather, Karen A and Romanczuk-Seiferth, Nina and Hartman, Catharina A and DeStefano, Anita L and Heslenfeld, Dirk J and Weiner, Michael W and Walter, Henrik and Hoekstra, Pieter J and Nyquist, Paul A and Franke, Barbara and Bennett, David A and Grabe, Hans J and Johnson, Andrew D and Chen, Christopher and van Duijn, Cornelia M and Lopez, Oscar L and Fornage, Myriam and Wardlaw, Joanna M and Schmidt, Reinhold and DeCarli, Charles and De Jager, Philip L and Villringer, Arno and Debette, Stephanie and Gudnason, Vilmundur and Medland, Sarah E and Shulman, Joshua M and Thompson, Paul M and Seshadri, Sudha and Ikram, M Arfan} } @article {7977, title = {Genetic meta-analysis of diagnosed Alzheimer{\textquoteright}s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Mar}, pages = {414-430}, abstract = {

Risk for late-onset Alzheimer{\textquoteright}s disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer{\textquoteright}s or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer{\textquoteright}s disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 {\texttimes} 10), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.

}, issn = {1546-1718}, doi = {10.1038/s41588-019-0358-2}, author = {Kunkle, Brian W and Grenier-Boley, Benjamin and Sims, Rebecca and Bis, Joshua C and Damotte, Vincent and Naj, Adam C and Boland, Anne and Vronskaya, Maria and van der Lee, Sven J and Amlie-Wolf, Alexandre and Bellenguez, C{\'e}line and Frizatti, Aura and Chouraki, Vincent and Martin, Eden R and Sleegers, Kristel and Badarinarayan, Nandini and Jakobsdottir, Johanna and Hamilton-Nelson, Kara L and Moreno-Grau, Sonia and Olaso, Robert and Raybould, Rachel and Chen, Yuning and Kuzma, Amanda B and Hiltunen, Mikko and Morgan, Taniesha and Ahmad, Shahzad and Vardarajan, Badri N and Epelbaum, Jacques and Hoffmann, Per and Boada, Merce and Beecham, Gary W and Garnier, Jean-Guillaume and Harold, Denise and Fitzpatrick, Annette L and Valladares, Otto and Moutet, Marie-Laure and Gerrish, Amy and Smith, Albert V and Qu, Liming and Bacq, Delphine and Denning, Nicola and Jian, Xueqiu and Zhao, Yi and Del Zompo, Maria and Fox, Nick C and Choi, Seung-Hoan and Mateo, Ignacio and Hughes, Joseph T and Adams, Hieab H and Malamon, John and Sanchez-Garcia, Florentino and Patel, Yogen and Brody, Jennifer A and Dombroski, Beth A and Naranjo, Maria Candida Deniz and Daniilidou, Makrina and Eiriksdottir, Gudny and Mukherjee, Shubhabrata and Wallon, David and Uphill, James and Aspelund, Thor and Cantwell, Laura B and Garzia, Fabienne and Galimberti, Daniela and Hofer, Edith and Butkiewicz, Mariusz and Fin, Bertrand and Scarpini, Elio and Sarnowski, Chloe and Bush, Will S and Meslage, St{\'e}phane and Kornhuber, Johannes and White, Charles C and Song, Yuenjoo and Barber, Robert C and Engelborghs, Sebastiaan and Sordon, Sabrina and Voijnovic, Dina and Adams, Perrie M and Vandenberghe, Rik and Mayhaus, Manuel and Cupples, L Adrienne and Albert, Marilyn S and De Deyn, Peter P and Gu, Wei and Himali, Jayanadra J and Beekly, Duane and Squassina, Alessio and Hartmann, Annette M and Orellana, Adelina and Blacker, Deborah and Rodriguez-Rodriguez, Eloy and Lovestone, Simon and Garcia, Melissa E and Doody, Rachelle S and Munoz-Fernadez, Carmen and Sussams, Rebecca and Lin, Honghuang and Fairchild, Thomas J and Benito, Yolanda A and Holmes, Clive and Karamuji{\'c}-{\v C}omi{\'c}, Hata and Frosch, Matthew P and Thonberg, H{\r a}kan and Maier, Wolfgang and Roschupkin, Gena and Ghetti, Bernardino and Giedraitis, Vilmantas and Kawalia, Amit and Li, Shuo and Huebinger, Ryan M and Kilander, Lena and Moebus, Susanne and Hernandez, Isabel and Kamboh, M Ilyas and Brundin, RoseMarie and Turton, James and Yang, Qiong and Katz, Mindy J and Concari, Letizia and Lord, Jenny and Beiser, Alexa S and Keene, C Dirk and Helisalmi, Seppo and Kloszewska, Iwona and Kukull, Walter A and Koivisto, Anne Maria and Lynch, Aoibhinn and Tarraga, Lluis and Larson, Eric B and Haapasalo, Annakaisa and Lawlor, Brian and Mosley, Thomas H and Lipton, Richard B and Solfrizzi, Vincenzo and Gill, Michael and Longstreth, W T and Montine, Thomas J and Frisardi, Vincenza and Diez-Fairen, Monica and Rivadeneira, Fernando and Petersen, Ronald C and Deramecourt, Vincent and Alvarez, Ignacio and Salani, Francesca and Ciaramella, Antonio and Boerwinkle, Eric and Reiman, Eric M and Fi{\'e}vet, Nathalie and Rotter, Jerome I and Reisch, Joan S and Hanon, Olivier and Cupidi, Chiara and Andre Uitterlinden, A G and Royall, Donald R and Dufouil, Carole and Maletta, Raffaele Giovanni and de Rojas, Itziar and Sano, Mary and Brice, Alexis and Cecchetti, Roberta and George-Hyslop, Peter St and Ritchie, Karen and Tsolaki, Magda and Tsuang, Debby W and Dubois, Bruno and Craig, David and Wu, Chuang-Kuo and Soininen, Hilkka and Avramidou, Despoina and Albin, Roger L and Fratiglioni, Laura and Germanou, Antonia and Apostolova, Liana G and Keller, Lina and Koutroumani, Maria and Arnold, Steven E and Panza, Francesco and Gkatzima, Olymbia and Asthana, Sanjay and Hannequin, Didier and Whitehead, Patrice and Atwood, Craig S and Caffarra, Paolo and Hampel, Harald and Quintela, In{\'e}s and Carracedo, Angel and Lannfelt, Lars and Rubinsztein, David C and Barnes, Lisa L and Pasquier, Florence and Fr{\"o}lich, Lutz and Barral, Sandra and McGuinness, Bernadette and Beach, Thomas G and Johnston, Janet A and Becker, James T and Passmore, Peter and Bigio, Eileen H and Schott, Jonathan M and Bird, Thomas D and Warren, Jason D and Boeve, Bradley F and Lupton, Michelle K and Bowen, James D and Proitsi, Petra and Boxer, Adam and Powell, John F and Burke, James R and Kauwe, John S K and Burns, Jeffrey M and Mancuso, Michelangelo and Buxbaum, Joseph D and Bonuccelli, Ubaldo and Cairns, Nigel J and McQuillin, Andrew and Cao, Chuanhai and Livingston, Gill and Carlson, Chris S and Bass, Nicholas J and Carlsson, Cynthia M and Hardy, John and Carney, Regina M and Bras, Jose and Carrasquillo, Minerva M and Guerreiro, Rita and Allen, Mariet and Chui, Helena C and Fisher, Elizabeth and Masullo, Carlo and Crocco, Elizabeth A and DeCarli, Charles and Bisceglio, Gina and Dick, Malcolm and Ma, Li and Duara, Ranjan and Graff-Radford, Neill R and Evans, Denis A and Hodges, Angela and Faber, Kelley M and Scherer, Martin and Fallon, Kenneth B and Riemenschneider, Matthias and Fardo, David W and Heun, Reinhard and Farlow, Martin R and K{\"o}lsch, Heike and Ferris, Steven and Leber, Markus and Foroud, Tatiana M and Heuser, Isabella and Galasko, Douglas R and Giegling, Ina and Gearing, Marla and H{\"u}ll, Michael and Geschwind, Daniel H and Gilbert, John R and Morris, John and Green, Robert C and Mayo, Kevin and Growdon, John H and Feulner, Thomas and Hamilton, Ronald L and Harrell, Lindy E and Drichel, Dmitriy and Honig, Lawrence S and Cushion, Thomas D and Huentelman, Matthew J and Hollingworth, Paul and Hulette, Christine M and Hyman, Bradley T and Marshall, Rachel and Jarvik, Gail P and Meggy, Alun and Abner, Erin and Menzies, Georgina E and Jin, Lee-Way and Leonenko, Ganna and Real, Luis M and Jun, Gyungah R and Baldwin, Clinton T and Grozeva, Detelina and Karydas, Anna and Russo, Giancarlo and Kaye, Jeffrey A and Kim, Ronald and Jessen, Frank and Kowall, Neil W and Vellas, Bruno and Kramer, Joel H and Vardy, Emma and LaFerla, Frank M and J{\"o}ckel, Karl-Heinz and Lah, James J and Dichgans, Martin and Leverenz, James B and Mann, David and Levey, Allan I and Pickering-Brown, Stuart and Lieberman, Andrew P and Klopp, Norman and Lunetta, Kathryn L and Wichmann, H-Erich and Lyketsos, Constantine G and Morgan, Kevin and Marson, Daniel C and Brown, Kristelle and Martiniuk, Frank and Medway, Christopher and Mash, Deborah C and N{\"o}then, Markus M and Masliah, Eliezer and Hooper, Nigel M and McCormick, Wayne C and Daniele, Antonio and McCurry, Susan M and Bayer, Anthony and McDavid, Andrew N and Gallacher, John and McKee, Ann C and van den Bussche, Hendrik and Mesulam, Marsel and Brayne, Carol and Miller, Bruce L and Riedel-Heller, Steffi and Miller, Carol A and Miller, Joshua W and Al-Chalabi, Ammar and Morris, John C and Shaw, Christopher E and Myers, Amanda J and Wiltfang, Jens and O{\textquoteright}Bryant, Sid and Olichney, John M and Alvarez, Victoria and Parisi, Joseph E and Singleton, Andrew B and Paulson, Henry L and Collinge, John and Perry, William R and Mead, Simon and Peskind, Elaine and Cribbs, David H and Rossor, Martin and Pierce, Aimee and Ryan, Natalie S and Poon, Wayne W and Nacmias, Benedetta and Potter, Huntington and Sorbi, Sandro and Quinn, Joseph F and Sacchinelli, Eleonora and Raj, Ashok and Spalletta, Gianfranco and Raskind, Murray and Caltagirone, Carlo and Boss{\`u}, Paola and Orfei, Maria Donata and Reisberg, Barry and Clarke, Robert and Reitz, Christiane and Smith, A David and Ringman, John M and Warden, Donald and Roberson, Erik D and Wilcock, Gordon and Rogaeva, Ekaterina and Bruni, Amalia Cecilia and Rosen, Howard J and Gallo, Maura and Rosenberg, Roger N and Ben-Shlomo, Yoav and Sager, Mark A and Mecocci, Patrizia and Saykin, Andrew J and Pastor, Pau and Cuccaro, Michael L and Vance, Jeffery M and Schneider, Julie A and Schneider, Lori S and Slifer, Susan and Seeley, William W and Smith, Amanda G and Sonnen, Joshua A and Spina, Salvatore and Stern, Robert A and Swerdlow, Russell H and Tang, Mitchell and Tanzi, Rudolph E and Trojanowski, John Q and Troncoso, Juan C and Van Deerlin, Vivianna M and Van Eldik, Linda J and Vinters, Harry V and Vonsattel, Jean Paul and Weintraub, Sandra and Welsh-Bohmer, Kathleen A and Wilhelmsen, Kirk C and Williamson, Jennifer and Wingo, Thomas S and Woltjer, Randall L and Wright, Clinton B and Yu, Chang-En and Yu, Lei and Saba, Yasaman and Pilotto, Alberto and Bullido, Mar{\'\i}a J and Peters, Oliver and Crane, Paul K and Bennett, David and Bosco, Paola and Coto, Eliecer and Boccardi, Virginia and De Jager, Phil L and Lleo, Alberto and Warner, Nick and Lopez, Oscar L and Ingelsson, Martin and Deloukas, Panagiotis and Cruchaga, Carlos and Graff, Caroline and Gwilliam, Rhian and Fornage, Myriam and Goate, Alison M and S{\'a}nchez-Juan, Pascual and Kehoe, Patrick G and Amin, Najaf and Ertekin-Taner, Nilifur and Berr, Claudine and Debette, Stephanie and Love, Seth and Launer, Lenore J and Younkin, Steven G and Dartigues, Jean-Fran{\c c}ois and Corcoran, Chris and Ikram, M Arfan and Dickson, Dennis W and Nicolas, Ga{\"e}l and Campion, Dominique and Tschanz, JoAnn and Schmidt, Helena and Hakonarson, Hakon and Clarimon, Jordi and Munger, Ron and Schmidt, Reinhold and Farrer, Lindsay A and Van Broeckhoven, Christine and C O{\textquoteright}Donovan, Michael and DeStefano, Anita L and Jones, Lesley and Haines, Jonathan L and Deleuze, Jean-Francois and Owen, Michael J and Gudnason, Vilmundur and Mayeux, Richard and Escott-Price, Valentina and Psaty, Bruce M and Ramirez, Alfredo and Wang, Li-San and Ruiz, Agustin and van Duijn, Cornelia M and Holmans, Peter A and Seshadri, Sudha and Williams, Julie and Amouyel, Phillippe and Schellenberg, Gerard D and Lambert, Jean-Charles and Pericak-Vance, Margaret A} } @article {8204, title = {Genome Wide Meta-Analysis identifies common genetic signatures shared by heart function and Alzheimer{\textquoteright}s disease.}, journal = {Sci Rep}, volume = {9}, year = {2019}, month = {2019 Nov 13}, pages = {16665}, abstract = {

Echocardiography has become an indispensable tool for the study of heart performance, improving the monitoring of individuals with cardiac diseases. Diverse genetic factors associated with echocardiographic measures have been previously reported. The impact of several apoptotic genes in heart development identified in experimental models prompted us to assess their potential association with human cardiac function. This study aimed at investigating the possible association of variants of apoptotic genes with echocardiographic traits and to identify new genetic markers associated with cardiac function. Genome wide data from different studies were obtained from public repositories. After quality control and imputation, a meta-analysis of individual association study results was performed. Our results confirmed the role of caspases and other apoptosis related genes with cardiac phenotypes. Moreover, enrichment analysis showed an over-representation of genes, including some apoptotic regulators, associated with Alzheimer{\textquoteright}s disease. We further explored this unexpected observation which was confirmed by genetic correlation analyses. Our findings show the association of apoptotic gene variants with echocardiographic indicators of heart function and reveal a novel potential genetic link between echocardiographic measures in healthy populations and cognitive decline later on in life. These findings may have important implications for preventative strategies combating Alzheimer{\textquoteright}s disease.

}, issn = {2045-2322}, doi = {10.1038/s41598-019-52724-2}, author = {S{\'a}ez, M E and Gonz{\'a}lez-P{\'e}rez, A and Hern{\'a}ndez-Olasagarre, B and Be{\`a}, A and Moreno-Grau, S and de Rojas, I and Mont{\'e}-Rubio, G and Orellana, A and Valero, S and Comella, J X and Sanch{\'\i}s, D and Ruiz, A} } @article {8530, title = {{Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {09}, pages = {4130}, abstract = {Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria.}, author = {Teumer, A. and Li, Y. and Ghasemi, S. and Prins, B. P. and Wuttke, M. and Hermle, T. and Giri, A. and Sieber, K. B. and Qiu, C. and Kirsten, H. and Tin, A. and Chu, A. Y. and Bansal, N. and Feitosa, M. F. and Wang, L. and Chai, J. F. and Cocca, M. and Fuchsberger, C. and Gorski, M. and Hoppmann, A. and Horn, K. and Li, M. and Marten, J. and Noce, D. and Nutile, T. and Sedaghat, S. and Sveinbjornsson, G. and Tayo, B. O. and van der Most, P. J. and Xu, Y. and Yu, Z. and Gerstner, L. and ?rnl?v, J. and Bakker, S. J. L. and Baptista, D. and Biggs, M. L. and Boerwinkle, E. and Brenner, H. and Burkhardt, R. and Carroll, R. J. and Chee, M. L. and Chee, M. L. and Chen, M. and Cheng, C. Y. and Cook, J. P. and Coresh, J. and Corre, T. and Danesh, J. and de Borst, M. H. and De Grandi, A. and de Mutsert, R. and de Vries, A. P. J. and Degenhardt, F. and Dittrich, K. and Divers, J. and Eckardt, K. U. and Ehret, G. and Endlich, K. and Felix, J. F. and Franco, O. H. and Franke, A. and Freedman, B. I. and Freitag-Wolf, S. and Gansevoort, R. T. and Giedraitis, V. and G?gele, M. and Grundner-Culemann, F. and Gudbjartsson, D. F. and Gudnason, V. and Hamet, P. and Harris, T. B. and Hicks, A. A. and Holm, H. and Foo, V. H. X. and Hwang, S. J. and Ikram, M. A. and Ingelsson, E. and Jaddoe, V. W. V. and Jakobsdottir, J. and Josyula, N. S. and Jung, B. and K?h?nen, M. and Khor, C. C. and Kiess, W. and Koenig, W. and K?rner, A. and Kovacs, P. and Kramer, H. and Kr?mer, B. K. and Kronenberg, F. and Lange, L. A. and Langefeld, C. D. and Lee, J. J. and Lehtim?ki, T. and Lieb, W. and Lim, S. C. and Lind, L. and Lindgren, C. M. and Liu, J. and Loeffler, M. and Lyytik?inen, L. P. and Mahajan, A. and Maranville, J. C. and Mascalzoni, D. and McMullen, B. and Meisinger, C. and Meitinger, T. and Miliku, K. and Mook-Kanamori, D. O. and M?ller-Nurasyid, M. and Mychaleckyj, J. C. and Nauck, M. and Nikus, K. and Ning, B. and Noordam, R. and Connell, J. O. and Olafsson, I. and Palmer, N. D. and Peters, A. and Podgornaia, A. I. and Ponte, B. and Poulain, T. and Pramstaller, P. P. and Rabelink, T. J. and Raffield, L. M. and Reilly, D. F. and Rettig, R. and Rheinberger, M. and Rice, K. M. and Rivadeneira, F. and Runz, H. and Ryan, K. A. and Sabanayagam, C. and Saum, K. U. and Sch?ttker, B. and Shaffer, C. M. and Shi, Y. and Smith, A. V. and Strauch, K. and Stumvoll, M. and Sun, B. B. and Szymczak, S. and Tai, E. S. and Tan, N. Y. Q. and Taylor, K. D. and Teren, A. and Tham, Y. C. and Thiery, J. and Thio, C. H. L. and Thomsen, H. and Thorsteinsdottir, U. and T?njes, A. and Tremblay, J. and Uitterlinden, A. G. and van der Harst, P. and Verweij, N. and Vogelezang, S. and V?lker, U. and Waldenberger, M. and Wang, C. and Wilson, O. D. and Wong, C. and Wong, T. Y. and Yang, Q. and Yasuda, M. and Akilesh, S. and Bochud, M. and B?ger, C. A. and Devuyst, O. and Edwards, T. L. and Ho, K. and Morris, A. P. and Parsa, A. and Pendergrass, S. A. and Psaty, B. M. and Rotter, J. I. and Stefansson, K. and Wilson, J. G. and Susztak, K. and Snieder, H. and Heid, I. M. and Scholz, M. and Butterworth, A. S. and Hung, A. M. and Pattaro, C. and K?ttgen, A.} } @article {7988, title = {A genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology.}, journal = {Blood}, volume = {133}, year = {2019}, month = {2019 Feb 28}, pages = {967-977}, abstract = {

Factor VII (FVII) is an important component of the coagulation cascade. Few genetic loci regulating FVII activity and/or levels have been discovered to date. We conducted a meta-analysis of 9 genome-wide association studies of plasma FVII levels (7 FVII activity and 2 FVII antigen) among 27 495 participants of European and African ancestry. Each study performed ancestry-specific association analyses. Inverse variance weighted meta-analysis was performed within each ancestry group and then combined for a -ancestry meta-analysis. Our primary analysis included the 7 studies that measured FVII activity, and a secondary analysis included all 9 studies. We provided functional genomic validation for newly identified significant loci by silencing candidate genes in a human liver cell line (HuH7) using small-interfering RNA and then measuring messenger RNA and FVII protein expression. Lastly, we used meta-analysis results to perform Mendelian randomization analysis to estimate the causal effect of FVII activity on coronary artery disease, ischemic stroke (IS), and venous thromboembolism. We identified 2 novel ( and ) and 6 known loci associated with FVII activity, explaining 19.0\% of the phenotypic variance. Adding FVII antigen data to the meta-analysis did not result in the discovery of further loci. Silencing in HuH7 cells upregulated FVII, whereas silencing downregulated FVII. Mendelian randomization analyses suggest that FVII activity has a positive causal effect on the risk of IS. Variants at and contribute to FVII activity by regulating expression levels. FVII activity appears to contribute to the etiology of IS in the general population.

}, issn = {1528-0020}, doi = {10.1182/blood-2018-05-849240}, author = {de Vries, Paul S and Sabater-Lleal, Maria and Huffman, Jennifer E and Marten, Jonathan and Song, Ci and Pankratz, Nathan and Bartz, Traci M and de Haan, Hugoline G and Delgado, Graciela E and Eicher, John D and Martinez-Perez, Angel and Ward-Caviness, Cavin K and Brody, Jennifer A and Chen, Ming-Huei and de Maat, Moniek P M and Fr{\r a}nberg, Mattias and Gill, Dipender and Kleber, Marcus E and Rivadeneira, Fernando and Soria, Jos{\'e} Manuel and Tang, Weihong and Tofler, Geoffrey H and Uitterlinden, Andr{\'e} G and van Hylckama Vlieg, Astrid and Seshadri, Sudha and Boerwinkle, Eric and Davies, Neil M and Giese, Anne-Katrin and Ikram, M Kamran and Kittner, Steven J and McKnight, Barbara and Psaty, Bruce M and Reiner, Alex P and Sargurupremraj, Muralidharan and Taylor, Kent D and Fornage, Myriam and Hamsten, Anders and M{\"a}rz, Winfried and Rosendaal, Frits R and Souto, Juan Carlos and Dehghan, Abbas and Johnson, Andrew D and Morrison, Alanna C and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L} } @article {8518, title = {{Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group}, journal = {Am J Hypertens}, volume = {32}, year = {2019}, month = {11}, pages = {1146{\textendash}1153}, abstract = {{Only a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described.\ We conducted a case-control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP {\^a}{\textperthousand}{\textyen} 140 mm Hg and/or diastolic BP {\^a}{\textperthousand}{\textyen} 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931}, author = {Irvin, M. R. and Sitlani, C. M. and Floyd, J. S. and Psaty, B. M. and Bis, J. C. and Wiggins, K. L. and Whitsel, E. A. and Sturmer, T. and Stewart, J. and Raffield, L. and Sun, F. and Liu, C. T. and Xu, H. and Cupples, A. L. and Tanner, R. M. and Rossing, P. and Smith, A. and Zilh?o, N. R. and Launer, L. J. and Noordam, R. and Rotter, J. I. and Yao, J. and Li, X. and Guo, X. and Limdi, N. and Sundaresan, A. and Lange, L. and Correa, A. and Stott, D. J. and Ford, I. and Jukema, J. W. and Gudnason, V. and Mook-Kanamori, D. O. and Trompet, S. and Palmas, W. and Warren, H. R. and Hellwege, J. N. and Giri, A. and O{\textquoteright}Donnell, C. and Hung, A. M. and Edwards, T. L. and Ahluwalia, T. S. and Arnett, D. K. and Avery, C. L.} } @article {9372, title = {Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group.}, journal = {Am J Hypertens}, volume = {32}, year = {2019}, month = {2019 Nov 15}, pages = {1146-1153}, abstract = {

BACKGROUND: Only a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described.

METHODS: We conducted a case-control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP >= 140 mm Hg and/or diastolic BP >= 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931, nAA = 228). Both a normotensive control group and a treatment-responsive control group were considered in separate analyses. Normotensive controls were untreated (nEA = 14,210, nAA = 2,480) and had systolic BP/diastolic BP < 140/90 mm Hg. Treatment-responsive controls (nEA = 5,266, nAA = 1,817) had BP at goal (<140/90 mm Hg), while treated with one antihypertensive medication class. Individual cohorts used logistic regression with adjustment for age, sex, study site, and principal components for ancestry to examine the association of single-nucleotide polymorphisms with case-control status. Inverse variance-weighted fixed-effects meta-analyses were carried out using METAL.

RESULTS: The known hypertension locus, CASZ1, was a top finding among EAs (P = 1.1 {\texttimes} 10-8) and in the race-combined analysis (P = 1.5 {\texttimes} 10-9) using the normotensive control group (rs12046278, odds ratio = 0.71 (95\% confidence interval: 0.6-0.8)). Single-nucleotide polymorphisms in this locus were robustly replicated in the Million Veterans Program (MVP) study in consideration of a treatment-responsive control group. There were no statistically significant findings for the discovery analyses including treatment-responsive controls.

CONCLUSION: This genomic discovery effort for aTRH identified CASZ1 as an aTRH risk locus.

}, keywords = {Aged, Antihypertensive Agents, Black or African American, Blood Pressure, Case-Control Studies, DNA (Cytosine-5-)-Methyltransferases, DNA Methyltransferase 3A, DNA-Binding Proteins, Drug Resistance, Dystrophin-Associated Proteins, Europe, Female, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Male, Middle Aged, Myosin Heavy Chains, Myosin Type V, Neuropeptides, Pharmacogenetics, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Transcription Factors, United States, White People}, issn = {1941-7225}, doi = {10.1093/ajh/hpz150}, author = {Irvin, Marguerite R and Sitlani, Colleen M and Floyd, James S and Psaty, Bruce M and Bis, Joshua C and Wiggins, Kerri L and Whitsel, Eric A and St{\"u}rmer, Til and Stewart, James and Raffield, Laura and Sun, Fangui and Liu, Ching-Ti and Xu, Hanfei and Cupples, Adrienne L and Tanner, Rikki M and Rossing, Peter and Smith, Albert and Zilh{\~a}o, Nuno R and Launer, Lenore J and Noordam, Raymond and Rotter, Jerome I and Yao, Jie and Li, Xiaohui and Guo, Xiuqing and Limdi, Nita and Sundaresan, Aishwarya and Lange, Leslie and Correa, Adolfo and Stott, David J and Ford, Ian and Jukema, J Wouter and Gudnason, Vilmundur and Mook-Kanamori, Dennis O and Trompet, Stella and Palmas, Walter and Warren, Helen R and Hellwege, Jacklyn N and Giri, Ayush and O{\textquoteright}donnell, Christopher and Hung, Adriana M and Edwards, Todd L and Ahluwalia, Tarunveer S and Arnett, Donna K and Avery, Christy L} } @article {8527, title = {{Genome-Wide Association Transethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels}, journal = {Circulation}, volume = {139}, year = {2019}, month = {01}, pages = {620{\textendash}635}, abstract = {Factor VIII (FVIII) and its carrier protein von Willebrand factor (VWF) are associated with risk of arterial and venous thrombosis and with hemorrhagic disorders. We aimed to identify and functionally test novel genetic associations regulating plasma FVIII and VWF.\ We meta-analyzed genome-wide association results from 46 354 individuals of European, African, East Asian, and Hispanic ancestry. All studies performed linear regression analysis using an additive genetic model and associated {\^a}{\textperthousand}{\textasciicircum}35 million imputed variants with natural log-transformed phenotype levels. In vitro gene silencing in cultured endothelial cells was performed for candidate genes to provide additional evidence on association and function. Two-sample Mendelian randomization analyses were applied to test the causal role of FVIII and VWF plasma levels on the risk of arterial and venous thrombotic events.\ We identified 13 novel genome-wide significant ( P{\^a}{\textperthousand}¤2.5{\~A}{\textemdash}10-8) associations, 7 with FVIII levels ( FCHO2/TMEM171/TNPO1, HLA, SOX17/RP1, LINC00583/NFIB, RAB5C-KAT2A, RPL3/TAB1/SYNGR1, and ARSA) and 11 with VWF levels ( PDHB/PXK/KCTD6, SLC39A8, FCHO2/TMEM171/TNPO1, HLA, GIMAP7/GIMAP4, OR13C5/NIPSNAP, DAB2IP, C2CD4B, RAB5C-KAT2A, TAB1/SYNGR1, and ARSA), beyond 10 previously reported associations with these phenotypes. Functional validation provided further evidence of association for all loci on VWF except ARSA and DAB2IP. Mendelian randomization suggested causal effects of plasma FVIII activity levels on venous thrombosis and coronary artery disease risk and plasma VWF levels on ischemic stroke risk.\ The meta-analysis identified 13 novel genetic loci regulating FVIII and VWF plasma levels, 10 of which we validated functionally. We provide some evidence for a causal role of these proteins in thrombotic events.}, author = {Sabater-Lleal, M. and Huffman, J. E. and de Vries, P. S. and Marten, J. and Mastrangelo, M. A. and Song, C. and Pankratz, N. and Ward-Caviness, C. K. and Yanek, L. R. and Trompet, S. and Delgado, G. E. and Guo, X. and Bartz, T. M. and Martinez-Perez, A. and Germain, M. and de Haan, H. G. and Ozel, A. B. and Polasek, O. and Smith, A. V. and Eicher, J. D. and Reiner, A. P. and Tang, W. and Davies, N. M. and Stott, D. J. and Rotter, J. I. and Tofler, G. H. and Boerwinkle, E. and de Maat, M. P. M. and Kleber, M. E. and Welsh, P. and Brody, J. A. and Chen, M. H. and Vaidya, D. and Soria, J. M. and Suchon, P. and van Hylckama Vlieg, A. and Desch, K. C. and Kolcic, I. and Joshi, P. K. and Launer, L. J. and Harris, T. B. and Campbell, H. and Rudan, I. and Becker, D. M. and Li, J. Z. and Rivadeneira, F. and Uitterlinden, A. G. and Hofman, A. and Franco, O. H. and Cushman, M. and Psaty, B. M. and Morange, P. E. and McKnight, B. and Chong, M. R. and Fernandez-Cadenas, I. and Rosand, J. and Lindgren, A. and Gudnason, V. and Wilson, J. F. and Hayward, C. and Ginsburg, D. and Fornage, M. and Rosendaal, F. R. and Souto, J. C. and Becker, L. C. and Jenny, N. S. and M?rz, W. and Jukema, J. W. and Dehghan, A. and Tr?gou?t, D. A. and Morrison, A. C. and Johnson, A. D. and O{\textquoteright}Donnell, C. J. and Strachan, D. P. and Lowenstein, C. J. and Smith, N. L.} } @article {8200, title = {Genomic and transcriptomic association studies identify 16 novel susceptibility loci for venous thromboembolism.}, journal = {Blood}, volume = {134}, year = {2019}, month = {2019 Nov 07}, pages = {1645-1657}, abstract = {

Venous thromboembolism (VTE) is a significant contributor to morbidity and mortality. To advance our understanding of the biology contributing to VTE, we conducted a genome-wide association study (GWAS) of VTE and a transcriptome-wide association study (TWAS) based on imputed gene expression from whole blood and liver. We meta-analyzed GWAS data from 18 studies for 30 234 VTE cases and 172 122 controls and assessed the association between 12 923 718 genetic variants and VTE. We generated variant prediction scores of gene expression from whole blood and liver tissue and assessed them for association with VTE. Mendelian randomization analyses were conducted for traits genetically associated with novel VTE loci. We identified 34 independent genetic signals for VTE risk from GWAS meta-analysis, of which 14 are newly reported associations. This included 11 newly associated genetic loci (C1orf198, PLEK, OSMR-AS1, NUGGC/SCARA5, GRK5, MPHOSPH9, ARID4A, PLCG2, SMG6, EIF5A, and STX10) of which 6 replicated, and 3 new independent signals in 3 known genes. Further, TWAS identified 5 additional genetic loci with imputed gene expression levels differing between cases and controls in whole blood (SH2B3, SPSB1, RP11-747H7.3, RP4-737E23.2) and in liver (ERAP1). At some GWAS loci, we found suggestive evidence that the VTE association signal for novel and previously known regions colocalized with expression quantitative trait locus signals. Mendelian randomization analyses suggested that blood traits may contribute to the underlying risk of VTE. To conclude, we identified 16 novel susceptibility loci for VTE; for some loci, the association signals are likely mediated through gene expression of nearby genes.

}, issn = {1528-0020}, doi = {10.1182/blood.2019000435}, author = {Lindstr{\"o}m, Sara and Wang, Lu and Smith, Erin N and Gordon, William and van Hylckama Vlieg, Astrid and de Andrade, Mariza and Brody, Jennifer A and Pattee, Jack W and Haessler, Jeffrey and Brumpton, Ben M and Chasman, Daniel I and Suchon, Pierre and Chen, Ming-Huei and Turman, Constance and Germain, Marine and Wiggins, Kerri L and MacDonald, James and Braekkan, Sigrid K and Armasu, Sebastian M and Pankratz, Nathan and Jackson, Rebecca D and Nielsen, Jonas B and Giulianini, Franco and Puurunen, Marja K and Ibrahim, Manal and Heckbert, Susan R and Damrauer, Scott M and Natarajan, Pradeep and Klarin, Derek and de Vries, Paul S and Sabater-Lleal, Maria and Huffman, Jennifer E and Bammler, Theo K and Frazer, Kelly A and McCauley, Bryan M and Taylor, Kent and Pankow, James S and Reiner, Alexander P and Gabrielsen, Maiken E and Deleuze, Jean-Francois and O{\textquoteright}Donnell, Chris J and Kim, Jihye and McKnight, Barbara and Kraft, Peter and Hansen, John-Bjarne and Rosendaal, Frits R and Heit, John A and Psaty, Bruce M and Tang, Weihong and Kooperberg, Charles and Hveem, Kristian and Ridker, Paul M and Morange, Pierre-Emmanuel and Johnson, Andrew D and Kabrhel, Christopher and Tr{\'e}gou{\"e}t, David-Alexandre and Smith, Nicholas L} } @article {8278, title = {Heterogeneous Exposure Associations in Observational Cohort Studies: The Example of Blood Pressure in Older Adults.}, journal = {Am J Epidemiol}, year = {2019}, month = {2019 Oct 08}, abstract = {

Heterogeneous exposure associations (HEAs) can be defined as differences in the association of a exposure with an outcome among subgroups that differ by a set of characteristics. This manuscript intends to foster discussion of HEAs in the epidemiological literature, and present a variant of the random forest algorithm that can be used to identify HEAs. We demonstrate the use of this algorithm in the setting of the association of systolic blood pressure and death in older adults. The training set included pooled data from the baseline examination of the Cardiovascular Health Study (1989-1993), the Health, Aging, and Body Composition study (1997-1998), and the Sacramento Area Latino Study on Aging (1998-1999). The test set included data from the National Health and Nutrition Examination Survey (1999-2002). The hazard ratios ranged from 1.25 (95\% CI: 1.13, 1.37) per 10 mmHg higher systolic blood pressure in men aged <=67 years with diastolic blood pressure >80 mmHg, to 1.00 (0.96, 1.03) in women with creatinine <0.7 mg/dL and a history of hypertension. HEAs have the potential to improve our understanding of disease mechanisms in diverse populations, and guide the design of randomized controlled trials to control exposures in heterogeneous populations.

}, issn = {1476-6256}, doi = {10.1093/aje/kwz218}, author = {Odden, Michelle C and Rawlings, Andreea M and Khodadadi, Abtin and Fern, Xiaoli and Shlipak, Michael G and Bibbins-Domingo, Kirsten and Covinsky, Kenneth and Kanaya, Alka M and Lee, Anne and Haan, Mary N and Newman, Anne B and Psaty, Bruce M and Peralta, Carmen A} } @article {8205, title = {Impact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts: The Trans-Omics for Precision Medicine Program.}, journal = {Am J Hum Genet}, volume = {105}, year = {2019}, month = {2019 Oct 03}, pages = {706-718}, abstract = {

Hemoglobin A1c (HbA1c) is widely used to diagnose diabetes and assess glycemic control in individuals with diabetes. However, nonglycemic determinants, including genetic variation, may influence how accurately HbA1c reflects underlying glycemia. Analyzing the NHLBI Trans-Omics for Precision Medicine (TOPMed) sequence data in 10,338 individuals from five studies and four ancestries (6,158 Europeans, 3,123 African-Americans, 650 Hispanics, and 407 East Asians), we confirmed five regions associated with HbA1c (GCK in Europeans and African-Americans, HK1 in Europeans and Hispanics, FN3K and/or FN3KRP in Europeans, and G6PD in African-Americans and Hispanics) and we identified an African-ancestry-specific low-frequency variant (rs1039215 in HBG2 and HBE1, minor allele frequency (MAF) = 0.03). The most associated G6PD variant (rs1050828-T, p.Val98Met, MAF = 12\% in African-Americans, MAF = 2\% in Hispanics) lowered HbA1c (-0.88\% in hemizygous males, -0.34\% in heterozygous females) and explained 23\% of HbA1c variance in African-Americans and 4\% in Hispanics. Additionally, we identified a rare distinct G6PD coding variant (rs76723693, p.Leu353Pro, MAF = 0.5\%; -0.98\% in hemizygous males, -0.46\% in heterozygous females) and detected significant association with HbA1c when aggregating rare missense variants in G6PD. We observed similar magnitude and direction of effects for rs1039215 (HBG2) and rs76723693 (G6PD) in the two largest TOPMed African American cohorts, and we replicated the rs76723693 association in the UK Biobank African-ancestry participants. These variants in G6PD and HBG2 were monomorphic in the European and Asian samples. African or Hispanic ancestry individuals carrying G6PD variants may be underdiagnosed for diabetes when screened with HbA1c. Thus, assessment of these variants should be considered for incorporation into precision medicine approaches for diabetes diagnosis.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2019.08.010}, author = {Sarnowski, Chloe and Leong, Aaron and Raffield, Laura M and Wu, Peitao and de Vries, Paul S and DiCorpo, Daniel and Guo, Xiuqing and Xu, Huichun and Liu, Yongmei and Zheng, Xiuwen and Hu, Yao and Brody, Jennifer A and Goodarzi, Mark O and Hidalgo, Bertha A and Highland, Heather M and Jain, Deepti and Liu, Ching-Ti and Naik, Rakhi P and O{\textquoteright}Connell, Jeffrey R and Perry, James A and Porneala, Bianca C and Selvin, Elizabeth and Wessel, Jennifer and Psaty, Bruce M and Curran, Joanne E and Peralta, Juan M and Blangero, John and Kooperberg, Charles and Mathias, Rasika and Johnson, Andrew D and Reiner, Alexander P and Mitchell, Braxton D and Cupples, L Adrienne and Vasan, Ramachandran S and Correa, Adolfo and Morrison, Alanna C and Boerwinkle, Eric and Rotter, Jerome I and Rich, Stephen S and Manning, Alisa K and Dupuis, Jos{\'e}e and Meigs, James B} } @article {7979, title = {A large-scale exome array analysis of venous thromboembolism.}, journal = {Genet Epidemiol}, year = {2019}, month = {2019 Jan 19}, abstract = {

Although recent Genome-Wide Association Studies have identified novel associations for common variants, there has been no comprehensive exome-wide search for low-frequency variants that affect the risk of venous thromboembolism (VTE). We conducted a meta-analysis of 11 studies comprising 8,332 cases and 16,087 controls of European ancestry and 382 cases and 1,476 controls of African American ancestry genotyped with the Illumina HumanExome BeadChip. We used the seqMeta package in R to conduct single variant and gene-based rare variant tests. In the single variant analysis, we limited our analysis to the 64,794 variants with at least 40 minor alleles across studies (minor allele frequency [MAF] ~0.08\%). We confirmed associations with previously identified VTE loci, including ABO, F5, F11, and FGA. After adjusting for multiple testing, we observed no novel significant findings in single variant or gene-based analysis. Given our sample size, we had greater than 80\% power to detect minimum odds ratios greater than 1.5 and 1.8 for a single variant with MAF of 0.01 and 0.005, respectively. Larger studies and sequence data may be needed to identify novel low-frequency and rare variants associated with VTE risk.

}, issn = {1098-2272}, doi = {10.1002/gepi.22187}, author = {Lindstr{\"o}m, Sara and Brody, Jennifer A and Turman, Constance and Germain, Marine and Bartz, Traci M and Smith, Erin N and Chen, Ming-Huei and Puurunen, Marja and Chasman, Daniel and Hassler, Jeffrey and Pankratz, Nathan and Basu, Saonli and Guan, Weihua and Gyorgy, Beata and Ibrahim, Manal and Empana, Jean-Philippe and Olaso, Robert and Jackson, Rebecca and Braekkan, Sigrid K and McKnight, Barbara and Deleuze, Jean-Francois and O{\textquoteright}Donnell, Cristopher J and Jouven, Xavier and Frazer, Kelly A and Psaty, Bruce M and Wiggins, Kerri L and Taylor, Kent and Reiner, Alexander P and Heckbert, Susan R and Kooperberg, Charles and Ridker, Paul and Hansen, John-Bjarne and Tang, Weihong and Johnson, Andrew D and Morange, Pierre-Emmanuel and Tr{\'e}gou{\"e}t, David A and Kraft, Peter and Smith, Nicholas L and Kabrhel, Christopher} } @article {8524, title = {{Low thyroid function is not associated with an accelerated deterioration in renal function}, journal = {Nephrol Dial Transplant}, volume = {34}, year = {2019}, month = {04}, pages = {650{\textendash}659}, abstract = {Chronic kidney disease (CKD) is frequently accompanied by thyroid hormone dysfunction. It is currently unclear whether these alterations are the cause or consequence of CKD. This study aimed at studying the effect of thyroid hormone alterations on renal function in cross-sectional and longitudinal analyses in individuals from all adult age groups.\ Individual participant data (IPD) from 16 independent cohorts having measured thyroid stimulating hormone, free thyroxine levels and creatinine levels were included. Thyroid hormone status was defined using clinical cut-off values. Estimated glomerular filtration rates (eGFR) were calculated by means of the four-variable Modification of Diet in Renal Disease (MDRD) formula. For this IPD meta-analysis, eGFR at baseline and eGFR change during follow-up were computed by fitting linear regression models and linear mixed models in each cohort separately. Effect estimates were pooled using random effects models.\ A total of 72 856 individuals from 16 different cohorts were included. At baseline, individuals with overt hypothyroidism (n = 704) and subclinical hypothyroidism (n = 3356) had a average (95\% confidence interval) -4.07 (-6.37 to -1.78) and -2.40 (-3.78 to -1.02) mL/min/1.73 m2 lower eGFR as compared with euthyroid subjects (n = 66 542). In (subclinical) hyperthyroid subjects (n = 2254), average eGFR was 3.01 (1.50-4.52) mL/min/1.73 m2 higher. During 329 713 patient years of follow-up, eGFR did not decline more rapidly in individuals with low thyroid function compared with individuals with normal thyroid function.\ Low thyroid function is not associated with a deterioration of renal function. The cross-sectional association may be explained by renal dysfunction causing thyroid hormone alterations.}, author = {Meuwese, C. L. and van Diepen, M. and Cappola, A. R. and Sarnak, M. J. and Shlipak, M. G. and Bauer, D. C. and Fried, L. P. and Iacoviello, M. and Vaes, B. and Degryse, J. and Khaw, K. T. and Luben, R. N. and ?svold, B. O. and Bj?ro, T. and Vatten, L. J. and de Craen, A. J. M. and Trompet, S. and Iervasi, G. and Molinaro, S. and Ceresini, G. and Ferrucci, L. and Dullaart, R. P. F. and Bakker, S. J. L. and Jukema, J. W. and Kearney, P. M. and Stott, D. J. and Peeters, R. P. and Franco, O. H. and V?lzke, H. and Walsh, J. P. and Bremner, A. and Sgarbi, J. A. and Maciel, R. M. B. and Imaizumi, M. and Ohishi, W. and Dekker, F. W. and Rodondi, N. and Gussekloo, J. and den Elzen, W. P. J.} } @article {8050, title = {Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease.}, journal = {PLoS One}, volume = {14}, year = {2019}, month = {2019}, pages = {e0216222}, abstract = {

BACKGROUND: Fibrinogen is an essential hemostatic factor and cardiovascular disease risk factor. Early attempts at evaluating the causal effect of fibrinogen on coronary heart disease (CHD) and myocardial infraction (MI) using Mendelian randomization (MR) used single variant approaches, and did not take advantage of recent genome-wide association studies (GWAS) or multi-variant, pleiotropy robust MR methodologies.

METHODS AND FINDINGS: We evaluated evidence for a causal effect of fibrinogen on both CHD and MI using MR. We used both an allele score approach and pleiotropy robust MR models. The allele score was composed of 38 fibrinogen-associated variants from recent GWAS. Initial analyses using the allele score used a meta-analysis of 11 European-ancestry prospective cohorts, free of CHD and MI at baseline, to examine incidence CHD and MI. We also applied 2 sample MR methods with data from a prevalent CHD and MI GWAS. Results are given in terms of the hazard ratio (HR) or odds ratio (OR), depending on the study design, and associated 95\% confidence interval (CI). In single variant analyses no causal effect of fibrinogen on CHD or MI was observed. In multi-variant analyses using incidence CHD cases and the allele score approach, the estimated causal effect (HR) of a 1 g/L higher fibrinogen concentration was 1.62 (CI = 1.12, 2.36) when using incident cases and the allele score approach. In 2 sample MR analyses that accounted for pleiotropy, the causal estimate (OR) was reduced to 1.18 (CI = 0.98, 1.42) and 1.09 (CI = 0.89, 1.33) in the 2 most precise (smallest CI) models, out of 4 models evaluated. In the 2 sample MR analyses for MI, there was only very weak evidence of a causal effect in only 1 out of 4 models.

CONCLUSIONS: A small causal effect of fibrinogen on CHD is observed using multi-variant MR approaches which account for pleiotropy, but not single variant MR approaches. Taken together, results indicate that even with large sample sizes and multi-variant approaches MR analyses still cannot exclude the null when estimating the causal effect of fibrinogen on CHD, but that any potential causal effect is likely to be much smaller than observed in epidemiological studies.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0216222}, author = {Ward-Caviness, Cavin K and de Vries, Paul S and Wiggins, Kerri L and Huffman, Jennifer E and Yanek, Lisa R and Bielak, Lawrence F and Giulianini, Franco and Guo, Xiuqing and Kleber, Marcus E and Kacprowski, Tim and Gro{\ss}, Stefan and Petersman, Astrid and Davey Smith, George and Hartwig, Fernando P and Bowden, Jack and Hemani, Gibran and M{\"u}ller-Nuraysid, Martina and Strauch, Konstantin and Koenig, Wolfgang and Waldenberger, Melanie and Meitinger, Thomas and Pankratz, Nathan and Boerwinkle, Eric and Tang, Weihong and Fu, Yi-Ping and Johnson, Andrew D and Song, Ci and de Maat, Moniek P M and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Brody, Jennifer A and McKnight, Barbara and Chen, Yii-Der Ida and Psaty, Bruce M and Mathias, Rasika A and Becker, Diane M and Peyser, Patricia A and Smith, Jennifer A and Bielinski, Suzette J and Ridker, Paul M and Taylor, Kent D and Yao, Jie and Tracy, Russell and Delgado, Graciela and Trompet, Stella and Sattar, Naveed and Jukema, J Wouter and Becker, Lewis C and Kardia, Sharon L R and Rotter, Jerome I and M{\"a}rz, Winfried and D{\"o}rr, Marcus and Chasman, Daniel I and Dehghan, Abbas and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Peters, Annette and Morrison, Alanna C} } @article {8510, title = {{A meta-analysis of genome-wide association studies identifies multiple longevity genes}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {08}, pages = {3669}, abstract = {Human longevity is heritable, but genome-wide association (GWA) studies have had limited success. Here, we perform two meta-analyses of GWA studies of a rigorous longevity phenotype definition including 11,262/3484 cases surviving at or beyond the age corresponding to the 90th/99th survival percentile, respectively, and 25,483 controls whose age at death or at last contact was at or below the age corresponding to the 60th survival percentile. Consistent with previous reports, rs429358 (apolipoprotein E (ApoE) {\^I}{\textmu}4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE {\^I}{\textmu}2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.}, author = {Deelen, J. and Evans, D. S. and Arking, D. E. and Tesi, N. and Nygaard, M. and Liu, X. and Wojczynski, M. K. and Biggs, M. L. and van der Spek, A. and Atzmon, G. and Ware, E. B. and Sarnowski, C. and Smith, A. V. and Sepp?l?, I. and Cordell, H. J. and Dose, J. and Amin, N. and Arnold, A. M. and Ayers, K. L. and Barzilai, N. and Becker, E. J. and Beekman, M. and Blanch?, H. and Christensen, K. and Christiansen, L. and Collerton, J. C. and Cubaynes, S. and Cummings, S. R. and Davies, K. and Debrabant, B. and Deleuze, J. F. and Duncan, R. and Faul, J. D. and Franceschi, C. and Galan, P. and Gudnason, V. and Harris, T. B. and Huisman, M. and Hurme, M. A. and Jagger, C. and Jansen, I. and Jylh?, M. and K?h?nen, M. and Karasik, D. and Kardia, S. L. R. and Kingston, A. and Kirkwood, T. B. L. and Launer, L. J. and Lehtim?ki, T. and Lieb, W. and Lyytik?inen, L. P. and Martin-Ruiz, C. and Min, J. and Nebel, A. and Newman, A. B. and Nie, C. and Nohr, E. A. and Orwoll, E. S. and Perls, T. T. and Province, M. A. and Psaty, B. M. and Raitakari, O. T. and Reinders, M. J. T. and Robine, J. M. and Rotter, J. I. and Sebastiani, P. and Smith, J. and S?rensen, T. I. A. and Taylor, K. D. and Uitterlinden, A. G. and van der Flier, W. and van der Lee, S. J. and van Duijn, C. M. and van Heemst, D. and Vaupel, J. W. and Weir, D. and Ye, K. and Zeng, Y. and Zheng, W. and Holstege, H. and Kiel, D. P. and Lunetta, K. L. and Slagboom, P. E. and Murabito, J. M.} } @article {9310, title = {{A meta-analysis of genome-wide association studies identifies multiple longevity genes}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {Aug}, pages = {3669}, abstract = {2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.}, author = {Deelen, J. and Evans, D. S. and Arking, D. E. and Tesi, N. and Nygaard, M. and Liu, X. and Wojczynski, M. K. and Biggs, M. L. and van der Spek, A. and Atzmon, G. and Ware, E. B. and Sarnowski, C. and Smith, A. V. and {\"a}, I. and Cordell, H. J. and Dose, J. and Amin, N. and Arnold, A. M. and Ayers, K. L. and Barzilai, N. and Becker, E. J. and Beekman, M. and {\'e}, H. and Christensen, K. and Christiansen, L. and Collerton, J. C. and Cubaynes, S. and Cummings, S. R. and Davies, K. and Debrabant, B. and Deleuze, J. F. and Duncan, R. and Faul, J. D. and Franceschi, C. and Galan, P. and Gudnason, V. and Harris, T. B. and Huisman, M. and Hurme, M. A. and Jagger, C. and Jansen, I. and {\"a}, M. and nen, M. and Karasik, D. and Kardia, S. L. R. and Kingston, A. and Kirkwood, T. B. L. and Launer, L. J. and ki, T. and Lieb, W. and inen, L. P. and Martin-Ruiz, C. and Min, J. and Nebel, A. and Newman, A. B. and Nie, C. and Nohr, E. A. and Orwoll, E. S. and Perls, T. T. and Province, M. A. and Psaty, B. M. and Raitakari, O. T. and Reinders, M. J. T. and Robine, J. M. and Rotter, J. I. and Sebastiani, P. and Smith, J. and rensen, T. I. A. and Taylor, K. D. and Uitterlinden, A. G. and van der Flier, W. and van der Lee, S. J. and van Duijn, C. M. and van Heemst, D. and Vaupel, J. W. and Weir, D. and Ye, K. and Zeng, Y. and Zheng, W. and Holstege, H. and Kiel, D. P. and Lunetta, K. L. and Slagboom, P. E. and Murabito, J. M.} } @article {8517, title = {{Meta-Analysis of Genomewide Association Studies Reveals Genetic Variants for Hip Bone Geometry}, journal = {J Bone Miner Res}, volume = {34}, year = {2019}, month = {07}, pages = {1284{\textendash}1296}, abstract = {Hip geometry is an important predictor of fracture. We performed a meta-analysis of GWAS studies in adults to identify genetic variants that are associated with proximal femur geometry phenotypes. We analyzed four phenotypes: (i) femoral neck length; (ii) neck-shaft angle; (iii) femoral neck width, and (iv) femoral neck section modulus, estimated from DXA scans using algorithms of hip structure analysis. In the Discovery stage, 10 cohort studies were included in the fixed-effect meta-analysis, with up to 18,719 men and women ages 16 to 93 years. Association analyses were performed with {\^a}{\textasciicircum}{\textonequarter}2.5 million polymorphisms under an additive model adjusted for age, body mass index, and height. Replication analyses of meta-GWAS significant loci (at adjusted genomewide significance [GWS], threshold p {\^a}{\textperthousand}¤ 2.6 {\~A}{\textemdash} 10-8 ) were performed in seven additional cohorts in silico. We looked up SNPs associated in our analysis, for association with height, bone mineral density (BMD), and fracture. In meta-analysis (combined Discovery and Replication stages), GWS associations were found at 5p15 (IRX1 and ADAMTS16); 5q35 near FGFR4; at 12p11 (in CCDC91); 11q13 (near LRP5 and PPP6R3 (rs7102273)). Several hip geometry signals overlapped with BMD, including LRP5 (chr. 11). Chr. 11 SNP rs7102273 was associated with any-type fracture (p = 7.5 {\~A}{\textemdash} 10-5 ). We used bone transcriptome data and discovered several significant eQTLs, including rs7102273 and PPP6R3 expression (p = 0.0007), and rs6556301 (intergenic, chr.5 near FGFR4) and PDLIM7 expression (p = 0.005). In conclusion, we found associations between several genes and hip geometry measures that explained 12\% to 22\% of heritability at different sites. The results provide a defined set of genes related to biological pathways relevant to BMD and etiology of bone fragility. {\^A}{\textcopyright} 2019 American Society for Bone and Mineral Research.}, author = {Hsu, Y. H. and Estrada, K. and Evangelou, E. and Ackert-Bicknell, C. and Akesson, K. and Beck, T. and Brown, S. J. and Capellini, T. and Carbone, L. and Cauley, J. and Cheung, C. L. and Cummings, S. R. and Czerwinski, S. and Demissie, S. and Econs, M. and Evans, D. and Farber, C. and Gautvik, K. and Harris, T. and Kammerer, C. and Kemp, J. and Koller, D. L. and Kung, A. and Lawlor, D. and Lee, M. and Lorentzon, M. and McGuigan, F. and Medina-Gomez, C. and Mitchell, B. and Newman, A. and Nielson, C. and Ohlsson, C. and Peacock, M. and Reppe, S. and Richards, J. B. and Robbins, J. and Sigurdsson, G. and Spector, T. D. and Stefansson, K. and Streeten, E. and Styrkarsdottir, U. and Tobias, J. and Trajanoska, K. and Uitterlinden, A. and Vandenput, L. and Wilson, S. G. and Yerges-Armstrong, L. and Young, M. and Zillikens, M. C. and Rivadeneira, F. and Kiel, D. P. and Karasik, D.} } @article {7970, title = {Multi-Ancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions.}, journal = {Am J Epidemiol}, year = {2019}, month = {2019 Jan 29}, abstract = {

An individual{\textquoteright}s lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multi-ancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in Stage 1 (genome-wide discovery) and 66 studies in Stage 2 (focused follow-up), for a total of 394,584 individuals from five ancestry groups. Genetic main and interaction effects were jointly assessed by a 2 degrees of freedom (DF) test, and a 1 DF test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P~<~1~{\texttimes}~10-6) with lipid levels in Stage 1 and were evaluated in Stage 2, followed by combined analyses of Stage 1 and Stage 2. In the combined analysis of Stage 1 and Stage 2, 147 independent loci were associated with lipid levels at P~<~5~{\texttimes}~10-8 using 2 DF tests, of which 18 were novel. No genome-wide significant associations were found testing the interaction effect alone. The novel loci included several genes (PCSK5, VEGFB, and A1CF) with a putative role in lipid metabolism based on existing evidence from cellular and experimental models.

}, issn = {1476-6256}, doi = {10.1093/aje/kwz005}, author = {de Vries, Paul S and Brown, Michael R and Bentley, Amy R and Sung, Yun J and Winkler, Thomas W and Ntalla, Ioanna and Schwander, Karen and Kraja, Aldi T and Guo, Xiuqing and Franceschini, Nora and Cheng, Ching-Yu and Sim, Xueling and Vojinovic, Dina and Huffman, Jennifer E and Musani, Solomon K and Li, Changwei and Feitosa, Mary F and Richard, Melissa A and Noordam, Raymond and Aschard, Hugues and Bartz, Traci M and Bielak, Lawrence F and Deng, Xuan and Dorajoo, Rajkumar and Lohman, Kurt K and Manning, Alisa K and Rankinen, Tuomo and Smith, Albert V and Tajuddin, Salman M and Evangelou, Evangelos and Graff, Mariaelisa and Alver, Maris and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Gandin, Ilaria and Gao, Chuan and Goel, Anuj and Hagemeijer, Yanick and Harris, Sarah E and Hartwig, Fernando P and He, Meian and Horimoto, Andrea R V R and Hsu, Fang-Chi and Jackson, Anne U and Kasturiratne, Anuradhani and Komulainen, Pirjo and Kuhnel, Brigitte and Laguzzi, Federica and Lee, Joseph H and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Matoba, Nana and Nolte, Ilja M and Pietzner, Maik and Riaz, Muhammad and Said, M Abdullah and Scott, Robert A and Sofer, Tamar and Stan{\v c}{\'a}kov{\'a}, Alena and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Varga, Tibor V and Wang, Yajuan and Ware, Erin B and Wen, Wanqing and Yanek, Lisa R and Zhang, Weihua and Zhao, Jing Hua and Afaq, Saima and Amin, Najaf and Amini, Marzyeh and Arking, Dan E and Aung, Tin and Ballantyne, Christie and Boerwinkle, Eric and Broeckel, Ulrich and Campbell, Archie and Canouil, Micka{\"e}l and Charumathi, Sabanayagam and Chen, Yii-Der Ida and Connell, John M and de Faire, Ulf and de Las Fuentes, Lisa and de Mutsert, Ren{\'e}e and de Silva, H Janaka and Ding, Jingzhong and Dominiczak, Anna F and Duan, Qing and Eaton, Charles B and Eppinga, Ruben N and Faul, Jessica D and Fisher, Virginia and Forrester, Terrence and Franco, Oscar H and Friedlander, Yechiel and Ghanbari, Mohsen and Giulianini, Franco and Grabe, Hans J and Grove, Megan L and Gu, C Charles and Harris, Tamara B and Heikkinen, Sami and Heng, Chew-Kiat and Hirata, Makoto and Hixson, James E and Howard, Barbara V and Ikram, M Arfan and Jacobs, David R and Johnson, Craig and Jonas, Jost Bruno and Kammerer, Candace M and Katsuya, Tomohiro and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Koistinen, Heikki A and Kolcic, Ivana and Kooperberg, Charles and Krieger, Jose E and Kritchevsky, Steve B and Kubo, Michiaki and Kuusisto, Johanna and Lakka, Timo A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lehne, Benjamin and Lemaitre, Rozenn N and Li, Yize and Liang, Jingjing and Liu, Jianjun and Liu, Kiang and Loh, Marie and Louie, Tin and M{\"a}gi, Reedik and Manichaikul, Ani W and McKenzie, Colin A and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Milani, Lili and Mohlke, Karen L and Mosley, Thomas H and Mukamal, Kenneth J and Nalls, Mike A and Nauck, Matthias and Nelson, Christopher P and Sotoodehnia, Nona and O{\textquoteright}Connell, Jeff R and Palmer, Nicholette D and Pazoki, Raha and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Poulter, Neil and Raffel, Leslie J and Raitakari, Olli T and Reiner, Alex P and Rice, Treva K and Rich, Stephen S and Robino, Antonietta and Robinson, Jennifer G and Rose, Lynda M and Rudan, Igor and Schmidt, Carsten O and Schreiner, Pamela J and Scott, William R and Sever, Peter and Shi, Yuan and Sidney, Stephen and Sims, Mario and Smith, Blair H and Smith, Jennifer A and Snieder, Harold and Starr, John M and Strauch, Konstantin and Tan, Nicholas and Taylor, Kent D and Teo, Yik Ying and Tham, Yih Chung and Uitterlinden, Andr{\'e} G and van Heemst, Diana and Vuckovic, Dragana and Waldenberger, Melanie and Wang, Lihua and Wang, Yujie and Wang, Zhe and Wei, Wen Bin and Williams, Christine and Wilson, Gregory and Wojczynski, Mary K and Yao, Jie and Yu, Bing and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and Chambers, John C and Deary, Ian J and Esko, T{\~o}nu and Farrall, Martin and Franks, Paul W and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Horta, Bernardo L and Kamatani, Yoichiro and Kato, Norihiro and Kooner, Jaspal S and Laakso, Markku and Leander, Karin and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Penninx, Brenda and Pereira, Alexandre C and Rauramaa, Rainer and Samani, Nilesh J and Scott, James and Shu, Xiao-Ou and van der Harst, Pim and Wagenknecht, Lynne E and Wang, Ya Xing and Wareham, Nicholas J and Watkins, Hugh and Weir, David R and Wickremasinghe, Ananda R and Zheng, Wei and Elliott, Paul and North, Kari E and Bouchard, Claude and Evans, Michele K and Gudnason, Vilmundur and Liu, Ching-Ti and Liu, Yongmei and Psaty, Bruce M and Ridker, Paul M and van Dam, Rob M and Kardia, Sharon L R and Zhu, Xiaofeng and Rotimi, Charles N and Mook-Kanamori, Dennis O and Fornage, Myriam and Kelly, Tanika N and Fox, Ervin R and Hayward, Caroline and van Duijn, Cornelia M and Tai, E Shyong and Wong, Tien Yin and Liu, Jingmin and Rotter, Jerome I and Gauderman, W James and Province, Michael A and Munroe, Patricia B and Rice, Kenneth and Chasman, Daniel I and Cupples, L Adrienne and Rao, Dabeeru C and Morrison, Alanna C} } @article {8005, title = {Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Apr}, pages = {636-648}, abstract = {

The concentrations of high- and low-density-lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene-smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 new loci associated with lipids, some of which were detected only because association differed by smoking status. Additionally, we demonstrate the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings.

}, issn = {1546-1718}, doi = {10.1038/s41588-019-0378-y}, author = {Bentley, Amy R and Sung, Yun J and Brown, Michael R and Winkler, Thomas W and Kraja, Aldi T and Ntalla, Ioanna and Schwander, Karen and Chasman, Daniel I and Lim, Elise and Deng, Xuan and Guo, Xiuqing and Liu, Jingmin and Lu, Yingchang and Cheng, Ching-Yu and Sim, Xueling and Vojinovic, Dina and Huffman, Jennifer E and Musani, Solomon K and Li, Changwei and Feitosa, Mary F and Richard, Melissa A and Noordam, Raymond and Baker, Jenna and Chen, Guanjie and Aschard, Hugues and Bartz, Traci M and Ding, Jingzhong and Dorajoo, Rajkumar and Manning, Alisa K and Rankinen, Tuomo and Smith, Albert V and Tajuddin, Salman M and Zhao, Wei and Graff, Mariaelisa and Alver, Maris and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Evangelou, Evangelos and Gao, Chuan and Goel, Anuj and Hagemeijer, Yanick and Harris, Sarah E and Hartwig, Fernando P and He, Meian and Horimoto, Andrea R V R and Hsu, Fang-Chi and Hung, Yi-Jen and Jackson, Anne U and Kasturiratne, Anuradhani and Komulainen, Pirjo and Kuhnel, Brigitte and Leander, Karin and Lin, Keng-Hung and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Matoba, Nana and Nolte, Ilja M and Pietzner, Maik and Prins, Bram and Riaz, Muhammad and Robino, Antonietta and Said, M Abdullah and Schupf, Nicole and Scott, Robert A and Sofer, Tamar and Stan{\v c}{\'a}kov{\'a}, Alena and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Varga, Tibor V and Wang, Tzung-Dau and Wang, Yajuan and Ware, Erin B and Wen, Wanqing and Xiang, Yong-Bing and Yanek, Lisa R and Zhang, Weihua and Zhao, Jing Hua and Adeyemo, Adebowale and Afaq, Saima and Amin, Najaf and Amini, Marzyeh and Arking, Dan E and Arzumanyan, Zorayr and Aung, Tin and Ballantyne, Christie and Barr, R Graham and Bielak, Lawrence F and Boerwinkle, Eric and Bottinger, Erwin P and Broeckel, Ulrich and Brown, Morris and Cade, Brian E and Campbell, Archie and Canouil, Micka{\"e}l and Charumathi, Sabanayagam and Chen, Yii-Der Ida and Christensen, Kaare and Concas, Maria Pina and Connell, John M and de Las Fuentes, Lisa and de Silva, H Janaka and de Vries, Paul S and Doumatey, Ayo and Duan, Qing and Eaton, Charles B and Eppinga, Ruben N and Faul, Jessica D and Floyd, James S and Forouhi, Nita G and Forrester, Terrence and Friedlander, Yechiel and Gandin, Ilaria and Gao, He and Ghanbari, Mohsen and Gharib, Sina A and Gigante, Bruna and Giulianini, Franco and Grabe, Hans J and Gu, C Charles and Harris, Tamara B and Heikkinen, Sami and Heng, Chew-Kiat and Hirata, Makoto and Hixson, James E and Ikram, M Arfan and Jia, Yucheng and Joehanes, Roby and Johnson, Craig and Jonas, Jost Bruno and Justice, Anne E and Katsuya, Tomohiro and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Kolcic, Ivana and Kooperberg, Charles and Krieger, Jose E and Kritchevsky, Stephen B and Kubo, Michiaki and Kuusisto, Johanna and Lakka, Timo A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lehne, Benjamin and Lewis, Cora E and Li, Yize and Liang, Jingjing and Lin, Shiow and Liu, Ching-Ti and Liu, Jianjun and Liu, Kiang and Loh, Marie and Lohman, Kurt K and Louie, Tin and Luzzi, Anna and M{\"a}gi, Reedik and Mahajan, Anubha and Manichaikul, Ani W and McKenzie, Colin A and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Milani, Lili and Mohlke, Karen L and Momozawa, Yukihide and Morris, Andrew P and Murray, Alison D and Nalls, Mike A and Nauck, Matthias and Nelson, Christopher P and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Papanicolau, George J and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Poulter, Neil and Raitakari, Olli T and Reiner, Alex P and Renstrom, Frida and Rice, Treva K and Rich, Stephen S and Robinson, Jennifer G and Rose, Lynda M and Rosendaal, Frits R and Rudan, Igor and Schmidt, Carsten O and Schreiner, Pamela J and Scott, William R and Sever, Peter and Shi, Yuan and Sidney, Stephen and Sims, Mario and Smith, Jennifer A and Snieder, Harold and Starr, John M and Strauch, Konstantin and Stringham, Heather M and Tan, Nicholas Y Q and Tang, Hua and Taylor, Kent D and Teo, Yik Ying and Tham, Yih Chung and Tiemeier, Henning and Turner, Stephen T and Uitterlinden, Andr{\'e} G and van Heemst, Diana and Waldenberger, Melanie and Wang, Heming and Wang, Lan and Wang, Lihua and Wei, Wen Bin and Williams, Christine A and Wilson, Gregory and Wojczynski, Mary K and Yao, Jie and Young, Kristin and Yu, Caizheng and Yuan, Jian-Min and Zhou, Jie and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and Chambers, John C and Cooper, Richard S and de Faire, Ulf and Deary, Ian J and Elliott, Paul and Esko, T{\~o}nu and Farrall, Martin and Franks, Paul W and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Horta, Bernardo L and Juang, Jyh-Ming Jimmy and Kamatani, Yoichiro and Kammerer, Candace M and Kato, Norihiro and Kooner, Jaspal S and Laakso, Markku and Laurie, Cathy C and Lee, I-Te and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Pereira, Alexandre C and Rauramaa, Rainer and Redline, Susan and Samani, Nilesh J and Scott, James and Shu, Xiao-Ou and van der Harst, Pim and Wagenknecht, Lynne E and Wang, Jun-Sing and Wang, Ya Xing and Wareham, Nicholas J and Watkins, Hugh and Weir, David R and Wickremasinghe, Ananda R and Wu, Tangchun and Zeggini, Eleftheria and Zheng, Wei and Bouchard, Claude and Evans, Michele K and Gudnason, Vilmundur and Kardia, Sharon L R and Liu, Yongmei and Psaty, Bruce M and Ridker, Paul M and van Dam, Rob M and Mook-Kanamori, Dennis O and Fornage, Myriam and Province, Michael A and Kelly, Tanika N and Fox, Ervin R and Hayward, Caroline and van Duijn, Cornelia M and Tai, E Shyong and Wong, Tien Yin and Loos, Ruth J F and Franceschini, Nora and Rotter, Jerome I and Zhu, Xiaofeng and Bierut, Laura J and Gauderman, W James and Rice, Kenneth and Munroe, Patricia B and Morrison, Alanna C and Rao, Dabeeru C and Rotimi, Charles N and Cupples, L Adrienne} } @article {8281, title = {{A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure}, journal = {Hum. Mol. Genet.}, year = {2019}, month = {Apr}, abstract = {Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene-smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129 913 individuals in stage 1 and follow-up analysis in 480 178 additional individuals in stage 2. We report here 136 loci significantly associated with MAP and/or PP. Of these, 61 were previously published through main-effect analysis of BP traits, 37 were recently reported by us for systolic BP and/or diastolic BP through gene-smoking interaction analysis and 38 were newly identified (P < 5 {\~A}{\textemdash} 10-8, false discovery rate < 0.05). We also identified nine new signals near known loci. Of the 136 loci, 8 showed significant interaction with smoking status. They include CSMD1 previously reported for insulin resistance and BP in the spontaneously hypertensive rats. Many of the 38 new loci show biologic plausibility for a role in BP regulation. SLC26A7 encodes a chloride/bicarbonate exchanger expressed in the renal outer medullary collecting duct. AVPR1A is widely expressed, including in vascular smooth muscle cells, kidney, myocardium and brain. FHAD1 is a long non-coding RNA overexpressed in heart failure. TMEM51 was associated with contractile function in cardiomyocytes. CASP9 plays a central role in cardiomyocyte apoptosis. Identified only in African ancestry were 30 novel loci. Our findings highlight the value of multi-ancestry investigations, particularly in studies of interaction with lifestyle factors, where genomic and lifestyle differences may contribute to novel findings.}, author = {Sung, Y. J. and de Las Fuentes, L. and Winkler, T. W. and Chasman, D. I. and Bentley, A. R. and Kraja, A. T. and Ntalla, I. and Warren, H. R. and Guo, X. and Schwander, K. and Manning, A. K. and Brown, M. R. and Aschard, H. and Feitosa, M. F. and Franceschini, N. and Lu, Y. and Cheng, C. Y. and Sim, X. and Vojinovic, D. and Marten, J. and Musani, S. K. and Kilpel?inen, T. O. and Richard, M. A. and Aslibekyan, S. and Bartz, T. M. and Dorajoo, R. and Li, C. and Liu, Y. and Rankinen, T. and Smith, A. V. and Tajuddin, S. M. and Tayo, B. O. and Zhao, W. and Zhou, Y. and Matoba, N. and Sofer, T. and Alver, M. and Amini, M. and Boissel, M. and Chai, J. F. and Chen, X. and Divers, J. and Gandin, I. and Gao, C. and Giulianini, F. and Goel, A. and Harris, S. E. and Hartwig, F. P. and He, M. and Horimoto, A. R. V. R. and Hsu, F. C. and Jackson, A. U. and Kammerer, C. M. and Kasturiratne, A. and Komulainen, P. and K?hnel, B. and Leander, K. and Lee, W. J. and Lin, K. H. and Luan, J. and Lyytik?inen, L. P. and McKenzie, C. A. and Nelson, C. P. and Noordam, R. and Scott, R. A. and Sheu, W. H. H. and Stan??kov?, A. and Takeuchi, F. and van der Most, P. J. and Varga, T. V. and Waken, R. J. and Wang, H. and Wang, Y. and Ware, E. B. and Weiss, S. and Wen, W. and Yanek, L. R. and Zhang, W. and Zhao, J. H. and Afaq, S. and Alfred, T. and Amin, N. and Arking, D. E. and Aung, T. and Barr, R. G. and Bielak, L. F. and Boerwinkle, E. and Bottinger, E. P. and Braund, P. S. and Brody, J. A. and Broeckel, U. and Cade, B. and Campbell, A. and Canouil, M. and Chakravarti, A. and Cocca, M. and Collins, F. S. and Connell, J. M. and de Mutsert, R. and de Silva, H. J. and D?rr, M. and Duan, Q. and Eaton, C. B. and Ehret, G. and Evangelou, E. and Faul, J. D. and Forouhi, N. G. and Franco, O. H. and Friedlander, Y. and Gao, H. and Gigante, B. and Gu, C. C. and Gupta, P. and Hagenaars, S. P. and Harris, T. B. and He, J. and Heikkinen, S. and Heng, C. K. and Hofman, A. and Howard, B. V. and Hunt, S. C. and Irvin, M. R. and Jia, Y. and Katsuya, T. and Kaufman, J. and Kerrison, N. D. and Khor, C. C. and Koh, W. P. and Koistinen, H. A. and Kooperberg, C. B. and Krieger, J. E. and Kubo, M. and Kutalik, Z. and Kuusisto, J. and Lakka, T. A. and Langefeld, C. D. and Langenberg, C. and Launer, L. J. and Lee, J. H. and Lehne, B. and Levy, D. and Lewis, C. E. and Li, Y. and Lim, S. H. and Liu, C. T. and Liu, J. and Liu, J. and Liu, Y. and Loh, M. and Lohman, K. K. and Louie, T. and M?gi, R. and Matsuda, K. and Meitinger, T. and Metspalu, A. and Milani, L. and Momozawa, Y. and Mosley, T. H. and Nalls, M. A. and Nasri, U. and O{\textquoteright}Connell, J. R. and Ogunniyi, A. and Palmas, W. R. and Palmer, N. D. and Pankow, J. S. and Pedersen, N. L. and Peters, A. and Peyser, P. A. and Polasek, O. and Porteous, D. and Raitakari, O. T. and Renstr?m, F. and Rice, T. K. and Ridker, P. M. and Robino, A. and Robinson, J. G. and Rose, L. M. and Rudan, I. and Sabanayagam, C. and Salako, B. L. and Sandow, K. and Schmidt, C. O. and Schreiner, P. J. and Scott, W. R. and Sever, P. and Sims, M. and Sitlani, C. M. and Smith, B. H. and Smith, J. A. and Snieder, H. and Starr, J. M. and Strauch, K. and Tang, H. and Taylor, K. D. and Teo, Y. Y. and Tham, Y. C. and Uitterlinden, A. G. and Waldenberger, M. and Wang, L. and Wang, Y. X. and Wei, W. B. and Wilson, G. and Wojczynski, M. K. and Xiang, Y. B. and Yao, J. and Yuan, J. M. and Zonderman, A. B. and Becker, D. M. and Boehnke, M. and Bowden, D. W. and Chambers, J. C. and Chen, Y. I. and Weir, D. R. and de Faire, U. and Deary, I. J. and Esko, T. and Farrall, M. and Forrester, T. and Freedman, B. I. and Froguel, P. and Gasparini, P. and Gieger, C. and Horta, B. L. and Hung, Y. J. and Jonas, J. B. and Kato, N. and Kooner, J. S. and Laakso, M. and Lehtim?ki, T. and Liang, K. W. and Magnusson, P. K. E. and Oldehinkel, A. J. and Pereira, A. C. and Perls, T. and Rauramaa, R. and Redline, S. and Rettig, R. and Samani, N. J. and Scott, J. and Shu, X. O. and van der Harst, P. and Wagenknecht, L. E. and Wareham, N. J. and Watkins, H. and Wickremasinghe, A. R. and Wu, T. and Kamatani, Y. and Laurie, C. C. and Bouchard, C. and Cooper, R. S. and Evans, M. K. and Gudnason, V. and Hixson, J. and Kardia, S. L. R. and Kritchevsky, S. B. and Psaty, B. M. and van Dam, R. M. and Arnett, D. K. and Mook-Kanamori, D. O. and Fornage, M. and Fox, E. R. and Hayward, C. and van Duijn, C. M. and Tai, E. S. and Wong, T. Y. and Loos, R. J. F. and Reiner, A. P. and Rotimi, C. N. and Bierut, L. J. and Zhu, X. and Cupples, L. A. and Province, M. A. and Rotter, J. I. and Franks, P. W. and Rice, K. and Elliott, P. and Caulfield, M. J. and Gauderman, W. J. and Munroe, P. B. and Rao, D. C. and Morrison, A. C.} } @article {8202, title = {Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration.}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {2019 Nov 12}, pages = {5121}, abstract = {

Both short and long sleep are associated with an adverse lipid profile, likely through different biological pathways. To elucidate the biology of sleep-associated adverse lipid profile, we conduct multi-ancestry genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c, LDL-c and triglycerides). In the total study sample (discovery + replication) of 126,926 individuals from 5 different ancestry groups, when considering either long or short total sleep time interactions in joint analyses, we identify 49 previously unreported lipid loci, and 10 additional previously unreported lipid loci in a restricted sample of European-ancestry cohorts. In addition, we identify new gene-sleep interactions for known lipid loci such as LPL and PCSK9. The previously unreported lipid loci have a modest explained variance in lipid levels: most notable, gene-short-sleep interactions explain 4.25\% of the variance in triglyceride level. Collectively, these findings contribute to our understanding of the biological mechanisms involved in sleep-associated adverse lipid profiles.

}, issn = {2041-1723}, doi = {10.1038/s41467-019-12958-0}, author = {Noordam, Raymond and Bos, Maxime M and Wang, Heming and Winkler, Thomas W and Bentley, Amy R and Kilpel{\"a}inen, Tuomas O and de Vries, Paul S and Sung, Yun Ju and Schwander, Karen and Cade, Brian E and Manning, Alisa and Aschard, Hugues and Brown, Michael R and Chen, Han and Franceschini, Nora and Musani, Solomon K and Richard, Melissa and Vojinovic, Dina and Aslibekyan, Stella and Bartz, Traci M and de Las Fuentes, Lisa and Feitosa, Mary and Horimoto, Andrea R and Ilkov, Marjan and Kho, Minjung and Kraja, Aldi and Li, Changwei and Lim, Elise and Liu, Yongmei and Mook-Kanamori, Dennis O and Rankinen, Tuomo and Tajuddin, Salman M and van der Spek, Ashley and Wang, Zhe and Marten, Jonathan and Laville, Vincent and Alver, Maris and Evangelou, Evangelos and Graff, Maria E and He, Meian and Kuhnel, Brigitte and Lyytik{\"a}inen, Leo-Pekka and Marques-Vidal, Pedro and Nolte, Ilja M and Palmer, Nicholette D and Rauramaa, Rainer and Shu, Xiao-Ou and Snieder, Harold and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Adolfo, Correa and Ballantyne, Christie and Bielak, Larry and Biermasz, Nienke R and Boerwinkle, Eric and Dimou, Niki and Eiriksdottir, Gudny and Gao, Chuan and Gharib, Sina A and Gottlieb, Daniel J and Haba-Rubio, Jos{\'e} and Harris, Tamara B and Heikkinen, Sami and Heinzer, Raphael and Hixson, James E and Homuth, Georg and Ikram, M Arfan and Komulainen, Pirjo and Krieger, Jose E and Lee, Jiwon and Liu, Jingmin and Lohman, Kurt K and Luik, Annemarie I and M{\"a}gi, Reedik and Martin, Lisa W and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Nalls, Mike A and O{\textquoteright}Connell, Jeff and Peters, Annette and Peyser, Patricia and Raitakari, Olli T and Reiner, Alex P and Rensen, Patrick C N and Rice, Treva K and Rich, Stephen S and Roenneberg, Till and Rotter, Jerome I and Schreiner, Pamela J and Shikany, James and Sidney, Stephen S and Sims, Mario and Sitlani, Colleen M and Sofer, Tamar and Strauch, Konstantin and Swertz, Morris A and Taylor, Kent D and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and V{\"o}lzke, Henry and Waldenberger, Melanie and Wallance, Robert B and van Dijk, Ko Willems and Yu, Caizheng and Zonderman, Alan B and Becker, Diane M and Elliott, Paul and Esko, T{\~o}nu and Gieger, Christian and Grabe, Hans J and Lakka, Timo A and Lehtim{\"a}ki, Terho and North, Kari E and Penninx, Brenda W J H and Vollenweider, Peter and Wagenknecht, Lynne E and Wu, Tangchun and Xiang, Yong-Bing and Zheng, Wei and Arnett, Donna K and Bouchard, Claude and Evans, Michele K and Gudnason, Vilmundur and Kardia, Sharon and Kelly, Tanika N and Kritchevsky, Stephen B and Loos, Ruth J F and Pereira, Alexandre C and Province, Mike and Psaty, Bruce M and Rotimi, Charles and Zhu, Xiaofeng and Amin, Najaf and Cupples, L Adrienne and Fornage, Myriam and Fox, Ervin F and Guo, Xiuqing and Gauderman, W James and Rice, Kenneth and Kooperberg, Charles and Munroe, Patricia B and Liu, Ching-Ti and Morrison, Alanna C and Rao, Dabeeru C and van Heemst, Diana and Redline, Susan} } @article {7976, title = {Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity.}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {2019 01 22}, pages = {376}, abstract = {

Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.

}, keywords = {Adolescent, Adult, African Continental Ancestry Group, Aged, Aged, 80 and over, Asian Continental Ancestry Group, Brazil, Calcium-Binding Proteins, Cholesterol, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Exercise, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Hispanic Americans, Humans, LIM-Homeodomain Proteins, Lipid Metabolism, Lipids, Male, Membrane Proteins, Microtubule-Associated Proteins, Middle Aged, Muscle Proteins, Nerve Tissue Proteins, Transcription Factors, Triglycerides, Young Adult}, issn = {2041-1723}, doi = {10.1038/s41467-018-08008-w}, author = {Kilpel{\"a}inen, Tuomas O and Bentley, Amy R and Noordam, Raymond and Sung, Yun Ju and Schwander, Karen and Winkler, Thomas W and Jakupovi{\'c}, Hermina and Chasman, Daniel I and Manning, Alisa and Ntalla, Ioanna and Aschard, Hugues and Brown, Michael R and de Las Fuentes, Lisa and Franceschini, Nora and Guo, Xiuqing and Vojinovic, Dina and Aslibekyan, Stella and Feitosa, Mary F and Kho, Minjung and Musani, Solomon K and Richard, Melissa and Wang, Heming and Wang, Zhe and Bartz, Traci M and Bielak, Lawrence F and Campbell, Archie and Dorajoo, Rajkumar and Fisher, Virginia and Hartwig, Fernando P and Horimoto, Andrea R V R and Li, Changwei and Lohman, Kurt K and Marten, Jonathan and Sim, Xueling and Smith, Albert V and Tajuddin, Salman M and Alver, Maris and Amini, Marzyeh and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Evangelou, Evangelos and Gao, Chuan and Graff, Mariaelisa and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Jackson, Anne U and Zhao, Jing Hua and Kraja, Aldi T and Kuhnel, Brigitte and Laguzzi, Federica and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Rauramaa, Rainer and Riaz, Muhammad and Robino, Antonietta and Rueedi, Rico and Stringham, Heather M and Takeuchi, Fumihiko and van der Most, Peter J and Varga, Tibor V and Verweij, Niek and Ware, Erin B and Wen, Wanqing and Li, Xiaoyin and Yanek, Lisa R and Amin, Najaf and Arnett, Donna K and Boerwinkle, Eric and Brumat, Marco and Cade, Brian and Canouil, Micka{\"e}l and Chen, Yii-Der Ida and Concas, Maria Pina and Connell, John and de Mutsert, Ren{\'e}e and de Silva, H Janaka and de Vries, Paul S and Demirkan, Ayse and Ding, Jingzhong and Eaton, Charles B and Faul, Jessica D and Friedlander, Yechiel and Gabriel, Kelley P and Ghanbari, Mohsen and Giulianini, Franco and Gu, Chi Charles and Gu, Dongfeng and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hunt, Steven C and Ikram, M Arfan and Jonas, Jost B and Koh, Woon-Puay and Komulainen, Pirjo and Krieger, Jose E and Kritchevsky, Stephen B and Kutalik, Zolt{\'a}n and Kuusisto, Johanna and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Leander, Karin and Lemaitre, Rozenn N and Lewis, Cora E and Liang, Jingjing and Liu, Jianjun and M{\"a}gi, Reedik and Manichaikul, Ani and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Mohlke, Karen L and Mosley, Thomas H and Murray, Alison D and Nalls, Mike A and Nang, Ei-Ei Khaing and Nelson, Christopher P and Nona, Sotoodehnia and Norris, Jill M and Nwuba, Chiamaka Vivian and O{\textquoteright}Connell, Jeff and Palmer, Nicholette D and Papanicolau, George J and Pazoki, Raha and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Porteous, David J and Poveda, Alaitz and Raitakari, Olli T and Rich, Stephen S and Risch, Neil and Robinson, Jennifer G and Rose, Lynda M and Rudan, Igor and Schreiner, Pamela J and Scott, Robert A and Sidney, Stephen S and Sims, Mario and Smith, Jennifer A and Snieder, Harold and Sofer, Tamar and Starr, John M and Sternfeld, Barbara and Strauch, Konstantin and Tang, Hua and Taylor, Kent D and Tsai, Michael Y and Tuomilehto, Jaakko and Uitterlinden, Andr{\'e} G and van der Ende, M Yldau and van Heemst, Diana and Voortman, Trudy and Waldenberger, Melanie and Wennberg, Patrik and Wilson, Gregory and Xiang, Yong-Bing and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and de Faire, Ulf and Deary, Ian J and Elliott, Paul and Esko, T{\~o}nu and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Kato, Norihiro and Laakso, Markku and Lakka, Timo A and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Samani, Nilesh J and Shu, Xiao-Ou and van der Harst, Pim and van Vliet-Ostaptchouk, Jana V and Vollenweider, Peter and Wagenknecht, Lynne E and Wang, Ya X and Wareham, Nicholas J and Weir, David R and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Evans, Michele K and Franks, Paul W and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kelly, Tanika N and Liu, Yongmei and North, Kari E and Pereira, Alexandre C and Ridker, Paul M and Tai, E Shyong and van Dam, Rob M and Fox, Ervin R and Kardia, Sharon L R and Liu, Ching-Ti and Mook-Kanamori, Dennis O and Province, Michael A and Redline, Susan and van Duijn, Cornelia M and Rotter, Jerome I and Kooperberg, Charles B and Gauderman, W James and Psaty, Bruce M and Rice, Kenneth and Munroe, Patricia B and Fornage, Myriam and Cupples, L Adrienne and Rotimi, Charles N and Morrison, Alanna C and Rao, Dabeeru C and Loos, Ruth J F} } @article {8514, title = {{New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders}, journal = {Nat Hum Behav}, volume = {3}, year = {2019}, month = {09}, pages = {950{\textendash}961}, abstract = {Excessive alcohol consumption is one of the main causes of death and disability worldwide. Alcohol consumption is a heritable complex trait. Here we conducted a meta-analysis of genome-wide association studies of alcohol consumption (g d-1) from the UK Biobank, the Alcohol Genome-Wide Consortium and the Cohorts for Heart and Aging Research in Genomic Epidemiology Plus consortia, collecting data from 480,842 people of European descent to decipher the genetic architecture of alcohol intake. We identified 46 new common loci and investigated their potential functional importance using magnetic resonance imaging data and gene expression studies. We identify genetic pathways associated with alcohol consumption and suggest genetic mechanisms that are shared with neuropsychiatric disorders such as schizophrenia.}, author = {Evangelou, E. and Gao, H. and Chu, C. and Ntritsos, G. and Blakeley, P. and Butts, A. R. and Pazoki, R. and Suzuki, H. and Koskeridis, F. and Yiorkas, A. M. and Karaman, I. and Elliott, J. and Luo, Q. and Aeschbacher, S. and Bartz, T. M. and Baumeister, S. E. and Braund, P. S. and Brown, M. R. and Brody, J. A. and Clarke, T. K. and Dimou, N. and Faul, J. D. and Homuth, G. and Jackson, A. U. and Kentistou, K. A. and Joshi, P. K. and Lemaitre, R. N. and Lind, P. A. and Lyytik?inen, L. P. and Mangino, M. and Milaneschi, Y. and Nelson, C. P. and Nolte, I. M. and Per?l?, M. M. and Polasek, O. and Porteous, D. and Ratliff, S. M. and Smith, J. A. and Stan??kov?, A. and Teumer, A. and Tuominen, S. and Th?riault, S. and Vangipurapu, J. and Whitfield, J. B. and Wood, A. and Yao, J. and Yu, B. and Zhao, W. and Arking, D. E. and Auvinen, J. and Liu, C. and M?nnikk?, M. and Risch, L. and Rotter, J. I. and Snieder, H. and Veijola, J. and Blakemore, A. I. and Boehnke, M. and Campbell, H. and Conen, D. and Eriksson, J. G. and Grabe, H. J. and Guo, X. and van der Harst, P. and Hartman, C. A. and Hayward, C. and Heath, A. C. and Jarvelin, M. R. and K?h?nen, M. and Kardia, S. L. R. and K?hne, M. and Kuusisto, J. and Laakso, M. and Lahti, J. and Lehtim?ki, T. and McIntosh, A. M. and Mohlke, K. L. and Morrison, A. C. and Martin, N. G. and Oldehinkel, A. J. and Penninx, B. W. J. H. and Psaty, B. M. and Raitakari, O. T. and Rudan, I. and Samani, N. J. and Scott, L. J. and Spector, T. D. and Verweij, N. and Weir, D. R. and Wilson, J. F. and Levy, D. and Tzoulaki, I. and Bell, J. D. and Matthews, P. M. and Rothenfluh, A. and Desrivi?res, S. and Schumann, G. and Elliott, P.} } @article {8532, title = {{Omega-3 Fatty Acids and Genome-Wide Interaction Analyses Reveal DPP10-Pulmonary Function Association}, journal = {Am J Respir Crit Care Med}, volume = {199}, year = {2019}, month = {03}, pages = {631{\textendash}642}, abstract = {Omega-3 polyunsaturated fatty acids (n-3 PUFAs) have anti-inflammatory properties that could benefit adults with comprised pulmonary health.\ To investigate n-3 PUFA associations with spirometric measures of pulmonary function tests (PFTs) and determine underlying genetic susceptibility.\ Associations of n-3 PUFA biomarkers ({\^I}{\textpm}-linolenic acid, eicosapentaenoic acid, docosapentaenoic acid [DPA], and docosahexaenoic acid [DHA]) were evaluated with PFTs (FEV1, FVC, and FEV1/FVC) in meta-analyses across seven cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (N = 16,134 of European or African ancestry). PFT-associated n-3 PUFAs were carried forward to genome-wide interaction analyses in the four largest cohorts (N = 11,962) and replicated in one cohort (N = 1,687). Cohort-specific results were combined using joint 2 degree-of-freedom (2df) meta-analyses of SNP associations and their interactions with n-3 PUFAs.\ DPA and DHA were positively associated with FEV1 and FVC (P < 0.025), with evidence for effect modification by smoking and by sex. Genome-wide analyses identified a novel association of rs11693320-an intronic DPP10 SNP-with FVC when incorporating an interaction with DHA, and the finding was replicated (P2df = 9.4 {\~A}{\textemdash} 10-9 across discovery and replication cohorts). The rs11693320-A allele (frequency, {\^a}{\textasciicircum}{\textonequarter}80\%) was associated with lower FVC (PSNP = 2.1 {\~A}{\textemdash} 10-9; {\^I}{\texttwosuperior}SNP = -161.0 ml), and the association was attenuated by higher DHA levels (PSNP{\~A}{\textemdash}DHA interaction = 2.1 {\~A}{\textemdash} 10-7; {\^I}{\texttwosuperior}SNP{\~A}{\textemdash}DHA interaction = 36.2 ml).\ We corroborated beneficial effects of n-3 PUFAs on pulmonary function. By modeling genome-wide n-3 PUFA interactions, we identified a novel DPP10 SNP association with FVC that was not detectable in much larger studies ignoring this interaction.}, author = {Xu, J. and Gaddis, N. C. and Bartz, T. M. and Hou, R. and Manichaikul, A. W. and Pankratz, N. and Smith, A. V. and Sun, F. and Terzikhan, N. and Markunas, C. A. and Patchen, B. K. and Schu, M. and Beydoun, M. A. and Brusselle, G. G. and Eiriksdottir, G. and Zhou, X. and Wood, A. C. and Graff, M. and Harris, T. B. and Ikram, M. A. and Jacobs, D. R. and Launer, L. J. and Lemaitre, R. N. and O{\textquoteright}Connor, G. T. and Oelsner, E. C. and Psaty, B. M. and Vasan, R. S. and Rohde, R. R. and Rich, S. S. and Rotter, J. I. and Seshadri, S. and Smith, L. J. and Tiemeier, H. and Tsai, M. Y. and Uitterlinden, A. G. and Voruganti, V. S. and Xu, H. and Zilh?o, N. R. and Fornage, M. and Zillikens, M. C. and London, S. J. and Barr, R. G. and Dupuis, J. and Gharib, S. A. and Gudnason, V. and Lahousse, L. and North, K. E. and Steffen, L. M. and Cassano, P. A. and Hancock, D. B.} } @article {8523, title = {{Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis}, journal = {BMJ}, volume = {366}, year = {2019}, month = {07}, pages = {l4292}, abstract = {{To investigate whether the genetic burden of type 2 diabetes modifies the association between the quality of dietary fat and the incidence of type 2 diabetes.\ Individual participant data meta-analysis.\ Eligible prospective cohort studies were systematically sourced from studies published between January 1970 and February 2017 through electronic searches in major medical databases (Medline, Embase, and Scopus) and discussion with investigators.\ Data from cohort studies or multicohort consortia with available genome-wide genetic data and information about the quality of dietary fat and the incidence of type 2 diabetes in participants of European descent was sought. Prospective cohorts that had accrued five or more years of follow-up were included. The type 2 diabetes genetic risk profile was characterized by a 68-variant polygenic risk score weighted by published effect sizes. Diet was recorded by using validated cohort-specific dietary assessment tools. Outcome measures were summary adjusted hazard ratios of incident type 2 diabetes for polygenic risk score, isocaloric replacement of carbohydrate (refined starch and sugars) with types of fat, and the interaction of types of fat with polygenic risk score.\ Of 102 305 participants from 15 prospective cohort studies, 20 015 type 2 diabetes cases were documented after a median follow-up of 12 years (interquartile range 9.4-14.2). The hazard ratio of type 2 diabetes per increment of 10 risk alleles in the polygenic risk score was 1.64 (95\% confidence interval 1.54 to 1.75}, author = {Merino, J. and Guasch-Ferr?, M. and Ellervik, C. and Dashti, H. S. and Sharp, S. J. and Wu, P. and Overvad, K. and Sarnowski, C. and Kuokkanen, M. and Lemaitre, R. N. and Justice, A. E. and Ericson, U. and Braun, K. V. E. and Mahendran, Y. and Frazier-Wood, A. C. and Sun, D. and Chu, A. Y. and Tanaka, T. and Luan, J. and Hong, J. and Tj?nneland, A. and Ding, M. and Lundqvist, A. and Mukamal, K. and Rohde, R. and Schulz, C. A. and Franco, O. H. and Grarup, N. and Chen, Y. I. and Bazzano, L. and Franks, P. W. and Buring, J. E. and Langenberg, C. and Liu, C. T. and Hansen, T. and Jensen, M. K. and S??ksj?rvi, K. and Psaty, B. M. and Young, K. L. and Hindy, G. and Sandholt, C. H. and Ridker, P. M. and Ordovas, J. M. and Meigs, J. B. and Pedersen, O. and Kraft, P. and Perola, M. and North, K. E. and Orho-Melander, M. and Voortman, T. and Toft, U. and Rotter, J. I. and Qi, L. and Forouhi, N. G. and Mozaffarian, D. and S?rensen, T. I. A. and Stampfer, M. J. and M?nnist?, S. and Selvin, E. and Imamura, F. and Salomaa, V. and Hu, F. B. and Wareham, N. J. and Dupuis, J. and Smith, C. E. and Kilpel?inen, T. O. and Chasman, D. I. and Florez, J. C.} } @article {8519, title = {{Relationship of Estimated GFR and Albuminuria to Concurrent Laboratory Abnormalities: An Individual Participant Data Meta-analysis in a Global Consortium}, journal = {Am J Kidney Dis}, volume = {73}, year = {2019}, month = {02}, pages = {206{\textendash}217}, abstract = {Chronic kidney disease (CKD) is complicated by abnormalities that reflect disruption in filtration, tubular, and endocrine functions of the kidney. Our aim was to explore the relationship of specific laboratory result abnormalities and hypertension with the estimated glomerular filtration rate (eGFR) and albuminuria CKD staging framework.\ Cross-sectional individual participant-level analyses in a global consortium.\ 17 CKD and 38 general population and high-risk cohorts.\ Cohorts in the CKD Prognosis Consortium with data for eGFR and albuminuria, as well as a measurement of hemoglobin, bicarbonate, phosphorus, parathyroid hormone, potassium, or calcium, or hypertension.\ Data were obtained and analyzed between July 2015 and January 2018.\ We modeled the association of eGFR and albuminuria with hemoglobin, bicarbonate, phosphorus, parathyroid hormone, potassium, and calcium values using linear regression and with hypertension and categorical definitions of each abnormality using logistic regression. Results were pooled using random-effects meta-analyses.\ The CKD cohorts (n=254,666 participants) were 27\% women and 10\% black, with a mean age of 69 (SD, 12) years. The general population/high-risk cohorts (n=1,758,334) were 50\% women and 2\% black, with a mean age of 50 (16) years. There was a strong graded association between lower eGFR and all laboratory result abnormalities (ORs ranging from 3.27 [95\% CI, 2.68-3.97] to 8.91 [95\% CI, 7.22-10.99] comparing eGFRs of 15 to 29 with eGFRs of 45 to 59mL/min/1.73m2), whereas albuminuria had equivocal or weak associations with abnormalities (ORs ranging from 0.77 [95\% CI, 0.60-0.99] to 1.92 [95\% CI, 1.65-2.24] comparing urinary albumin-creatinine ratio > 300 vs < 30mg/g).\ Variations in study era, health care delivery system, typical diet, and laboratory assays.\ Lower eGFR was strongly associated with higher odds of multiple laboratory result abnormalities. Knowledge of risk associations might help guide management in the heterogeneous group of patients with CKD.}, author = {Inker, L. A. and Grams, M. E. and Levey, A. S. and Coresh, J. and Cirillo, M. and Collins, J. F. and Gansevoort, R. T. and Gutierrez, O. M. and Hamano, T. and Heine, G. H. and Ishikawa, S. and Jee, S. H. and Kronenberg, F. and Landray, M. J. and Miura, K. and Nadkarni, G. N. and Peralta, C. A. and Rothenbacher, D. and Schaeffner, E. and Sedaghat, S. and Shlipak, M. G. and Zhang, L. and van Zuilen, A. D. and Hallan, S. I. and Kovesdy, C. P. and Woodward, M. and Levin, A. and Astor, B. and Appel, L. and Greene, T. and Chen, T. and Chalmers, J. and Woodward, M. and Arima, H. and Perkovic, V. and Yatsuya, H. and Tamakoshi, K. and Li, Y. and Hirakawa, Y. and Coresh, J. and Matsushita, K. and Grams, M. and Sang, Y. and Polkinghorne, K. and Chadban, S. and Atkins, R. and Levin, A. and Djurdjev, O. and Zhang, L. and Liu, L. and Zhao, M. and Wang, F. and Wang, J. and Schaeffner, E. and Ebert, N. and Martus, P. and Levin, A. and Djurdjev, O. and Tang, M. and Heine, G. and Emrich, I. and Seiler, S. and Zawada, A. and Nally, J. and Navaneethan, S. and Schold, J. and Zhang, L. and Zhao, M. and Wang, F. and Wang, J. and Shlipak, M. and Sarnak, M. and Katz, R. and Hiramoto, J. and Iso, H. and Yamagishi, K. and Umesawa, M. and Muraki, I. and Fukagawa, M. and Maruyama, S. and Hamano, T. and Hasegawa, T. and Fujii, N. and Wheeler, D. and Emberson, J. and Townend, J. and Landray, M. and Brenner, H. and Sch?ttker, B. and Saum, K. U. and Rothenbacher, D. and Fox, C. and Hwang, S. J. and K?ttgen, A. and Kronenberg, F. and Schneider, M. P. and Eckardt, K. U. and Green, J. and Kirchner, H. L. and Chang, A. R. and Ho, K. and Ito, S. and Miyazaki, M. and Nakayama, M. and Yamada, G. and Cirillo, M. and Irie, F. and Sairenchi, T. and Ishikawa, S. and Yano, Y. and Kotani, K. and Nakamura, T. and Jee, S. H. and Kimm, H. and Mok, Y. and Chodick, G. and Shalev, V. and Wetzels, J. F. M. and Blankestijn, P. J. and van Zuilen, A. D. and van den Brand, J. and Sarnak, M. and Inker, L. and Peralta, C. and Hiramoto, J. and Katz, R. and Sarnak, M. and Kronenberg, F. and Kollerits, B. and Ritz, E. and Nitsch, D. and Roderick, P. and Fletcher, A. and Bottinger, E. and Nadkarni, G. N. and Ellis, S. B. and Nadukuru, R. and Sang, Y. and Ueshima, H. and Okayama, A. and Miura, K. and Tanaka, S. and Ueshima, H. and Okamura, T. and Miura, K. and Tanaka, S. and Miura, K. and Okayama, A. and Kadota, A. and Tanaka, S. and Kenealy, T. and Elley, C. R. and Collins, J. F. and Drury, P. L. and Ohkubo, T. and Asayama, K. and Metoki, H. and Kikuya, M. and Nakayama, M. and Nelson, R. G. and Knowler, W. C. and Gansevoort, R. T. and Bakker, S. J. and Hak, E. and Heerspink, H. J. L. and Brunskill, N. and Major, R. and Shepherd, D. and Medcalf, J. and Jassal, S. K. and Bergstrom, J. and Ix, J. H. and Barrett-Connor, E. and Kovesdy, C. and Kalantar-Zadeh, K. and Sumida, K. and Gutierrez, O. M. and Muntner, P. and Warnock, D. and McClellan, W. and Heerspink, H. J. L. and de Zeeuw, D. and Brenner, B. and Sedaghat, S. and Ikram, M. A. and Hoorn, E. J. and Dehghan, A. and Carrero, J. J. and Gasparini, A. and Wettermark, B. and Elinder, C. G. and Wong, T. Y. and Sabanayagam, C. and Cheng, C. Y. and Visseren, F. L. J. and Evans, M. and Segelmark, M. and Stendahl, M. and Sch?n, S. and Tangri, N. and Sud, M. and Naimark, D. and Wen, C. P. and Tsao, C. K. and Tsai, M. K. and Chen, C. H. and Konta, T. and Hirayama, A. and Ichikawa, K. and Lannfelt, L. and Larsson, A. and ?rnl?v, J. and Bilo, H. J. G. and Landman, G. W. D. and van Hateren, K. J. J. and Kleefstra, N. and Coresh Chair, J. and Gansevoort, R. T. and Grams, M. E. and Hallan, S. and Kovesdy, C. P. and Levey, A. S. and Matsushita, K. and Shalev, V. and Woodward, M. and Ballew, S. H. and Chen, J. and Coresh, J. and Grams, M. E. and Kwak, L. and Matsushita, K. and Sang, Y. and Surapaneni, A. and Woodward, M.} } @article {8048, title = {The role of functional status on the relationship between blood pressure and cognitive decline: the Cardiovascular Health Study.}, journal = {J Hypertens}, year = {2019}, month = {2019 May 01}, abstract = {

OBJECTIVE: To examine whether self-reported functional status modified the association between blood pressure (BP) and cognitive decline among older adults.

METHODS: The study included 2097 US adults aged 75 years and older from the Cardiovascular Health Study, followed for up to 6 years. Functional status was ascertained by self-reported limitation in activities of daily living (ADL; none vs. any). Cognitive function was assessed by the Modified Mini Mental State Exam (3MSE). We used linear mixed models to examine whether the presence of at least one ADL limitation modified the association between BP and cognitive decline. Potential confounders included demographics, physiologic measures, antihypertensive medication use and apolipoprotein E ε4 allele. We conducted stratified analyses for significant interactions between BP and ADL.

RESULTS: The association between BP and change in 3MSE differed by baseline ADL limitation. Among participants without ADL limitation, elevated systolic BP (>=140 mmHg) was associated with a 0.15 decrease (95\% CI -0.24 to -0.07); P value for interaction less than 0.001, whereas in those with an ADL limitation, elevated systolic BP was independently associated with a 0.30 increase in 3MSE scores per year (95\% CI 0.06-0.55). Elevated diastolic BP (>=80 mmHg) was associated with an increase in cognitive function in both groups, although the increase was greater in those with ADL limitation (0.47 points per year vs. 0.18 points per year, P value for interaction = 0.01).

CONCLUSION: Elevated BP appears to be associated with a decrease in cognitive scores among functioning older adults, and modest improvements in cognitive function among poorly functioning elders.

}, issn = {1473-5598}, doi = {10.1097/HJH.0000000000002102}, author = {Miller, Lindsay M and Peralta, Carmen A and Fitzpatrick, Annette L and Wu, Chenkai and Psaty, Bruce M and Newman, Anne B and Odden, Michelle C} } @article {8203, title = {The role of functional status on the relationship between blood pressure and cognitive decline: the Cardiovascular Health Study.}, journal = {J Hypertens}, volume = {37}, year = {2019}, month = {2019 Dec}, pages = {2500-2501}, issn = {1473-5598}, doi = {10.1097/HJH.0000000000002263}, author = {O{\textquoteright}Rourke, Michael F and Adji, Audrey} } @article {8199, title = {Sequencing Analysis at 8p23 Identifies Multiple Rare Variants in DLC1 Associated with Sleep-Related Oxyhemoglobin Saturation Level.}, journal = {Am J Hum Genet}, volume = {105}, year = {2019}, month = {2019 Nov 07}, pages = {1057-1068}, abstract = {

Average arterial oxyhemoglobin saturation during sleep (AvSpOS) is a clinically relevant measure of physiological stress associated with sleep-disordered breathing, and this measure predicts incident cardiovascular disease and mortality. Using high-depth whole-genome sequencing data from the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) project and focusing on genes with linkage evidence on chromosome 8p23, we observed that six coding and 51 noncoding variants in a gene that encodes the GTPase-activating protein (DLC1) are significantly associated with AvSpOS and replicated in independent subjects. The combined DLC1 association evidence of discovery and replication cohorts reaches genome-wide significance in European Americans (p = 7.9~{\texttimes} 10). A risk score for these variants, built on an independent dataset, explains 0.97\% of the AvSpOS variation and contributes to the linkage evidence. The 51 noncoding variants are enriched in regulatory features in a human lung fibroblast cell line and contribute to DLC1 expression variation. Mendelian randomization analysis using these variants indicates a significant causal effect of DLC1 expression in fibroblasts on AvSpOS. Multiple sources of information, including genetic variants, gene expression, and methylation, consistently suggest that DLC1 is a gene associated with AvSpOS.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2019.10.002}, author = {Liang, Jingjing and Cade, Brian E and He, Karen Y and Wang, Heming and Lee, Jiwon and Sofer, Tamar and Williams, Stephanie and Li, Ruitong and Chen, Han and Gottlieb, Daniel J and Evans, Daniel S and Guo, Xiuqing and Gharib, Sina A and Hale, Lauren and Hillman, David R and Lutsey, Pamela L and Mukherjee, Sutapa and Ochs-Balcom, Heather M and Palmer, Lyle J and Rhodes, Jessica and Purcell, Shaun and Patel, Sanjay R and Saxena, Richa and Stone, Katie L and Tang, Weihong and Tranah, Gregory J and Boerwinkle, Eric and Lin, Xihong and Liu, Yongmei and Psaty, Bruce M and Vasan, Ramachandran S and Cho, Michael H and Manichaikul, Ani and Silverman, Edwin K and Barr, R Graham and Rich, Stephen S and Rotter, Jerome I and Wilson, James G and Redline, Susan and Zhu, Xiaofeng} } @article {8275, title = {Serial Plasma Phospholipid Fatty Acids in the De Novo Lipogenesis Pathway and Total Mortality, Cause-Specific Mortality, and Cardiovascular Diseases in the Cardiovascular Health Study.}, journal = {J Am Heart Assoc}, volume = {8}, year = {2019}, month = {2019 Nov 19}, pages = {e012881}, abstract = {

Background Synthesized fatty acids (FAs) from de novo lipogenesis may affect cardiometabolic health, but longitudinal associations between serially measured de novo lipogenesis-related fatty acid biomarkers and mortality or cardiovascular disease (CVD) are not well established. Methods and Results We investigated longitudinal associations between de novo lipogenesis-related fatty acids with all-cause mortality, cause-specific mortality, and incident CVD among 3869 older US adults, mean (SD) age 75 (5) years and free of prevalent CVD at baseline. Levels of plasma phospholipid palmitic (16:0), palmitoleic (16:1n-7), stearic (18:0), oleic acid (18:1n-9), and other risk factors were serially measured at baseline, 6~years, and 13~years. All-cause mortality, cause-specific mortality, and incident fatal and nonfatal CVD were centrally adjudicated. Risk was assessed in multivariable-adjusted Cox models with time-varying FAs and covariates. During 13~years, median follow-up (maximum 22.4~years), participants experienced 3227 deaths (1131 CVD, 2096 non-CVD) and 1753 incident CVD events. After multivariable adjustment, higher cumulative levels of 16:0, 16:1n-7, and 18:1n-9 were associated with higher all-cause mortality, with extreme-quintile hazard ratios (95\% CIs) of 1.35 (1.17-1.56), 1.40 (1.21-1.62), and 1.56 (1.35-1.80), respectively, whereas higher levels of 18:0 were associated with lower mortality (hazard ratio=0.76; 95\% CI=0.66-0.88). Associations were generally similar for CVD mortality versus non-CVD mortality, as well as total incident CVD. Changes in levels of 16:0 were positively, and 18:0 inversely, associated with all-cause mortality (hazard ratio=1.23, 95\% CI=1.08-1.41; and hazard ratio=0.78, 95\% CI=0.68-0.90). Conclusions Higher long-term levels of 16:0, 16:1n-7, and 18:1n-9 and changes in 16:0 were positively, whereas long-term levels and changes in 18:0 were inversely, associated with all-cause mortality in older adults.

}, issn = {2047-9980}, doi = {10.1161/JAHA.119.012881}, author = {Lai, Heidi T M and de Oliveira Otto, Marcia C and Lee, Yujin and Wu, Jason H Y and Song, Xiaoling and King, Irena B and Psaty, Bruce M and Lemaitre, Rozenn N and McKnight, Barbara and Siscovick, David S and Mozaffarian, Dariush} } @article {8277, title = {{Sex Differences in the Association Between Pentraxin 3 and Cognitive Decline: The Cardiovascular Health Study}, journal = {J. Gerontol. A Biol. Sci. Med. Sci.}, year = {2019}, month = {Dec}, abstract = {The importance of systemic inflammation, measured by C-reactive protein, in cognitive decline has been demonstrated; however, the role of vascular inflammation is less understood. Pentraxin 3 (PTX3) is a novel marker of vascular inflammation.\ We followed adults 65 and older, free of cardiovascular disease (CVD) for up to 9 years (n = 1,547) in the Cardiovascular Health Study. We evaluated the relationship between PTX3 and change in cognitive function, measured using the Modified Mini-Mental State Examination (3MSE), and incident cognitive impairment (3MSE < 80). Mediation by CVD events, and effect modification by sex and apolipoprotein E {\'E}{\guilsinglright}4 allele (APOE4) were also examined.\ The average decline in 3MSE was 0.77 points per year. The association between PTX3 and change in 3MSE differed between women and men (p = .02). In the adjusted model, each standard deviation higher in PTX3 was associated with a 0.20 greater decline in 3MSE score per year in women over follow-up (95\% CI: -0. 37, -0.03; p = .02), compared to no change in men ({\^I}{\texttwosuperior} = 0.07; 95\% CI: -0.08, 0.22). CVD events had a minor effect on the associations. No effect modification by APOE4 was found, although we observed the association of PTX3 and cognitive impairment in women was attenuated and nonsignificant after adjustment for APOE4. There was a paradoxical protective association between PTX3 and reduced cognitive impairment in men, even after adjustment for APOE4.\ We found that vascular inflammation was significantly associated with cognitive decline in older women, but not men.}, author = {Miller, L. M. and Jenny, N. S. and Rawlings, A. M. and Arnold, A. M. and Fitzpatrick, A. L. and Lopez, O. L. and Odden, M. C.} } @article {8207, title = {Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Oct}, pages = {1459-1474}, abstract = {

Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.

}, issn = {1546-1718}, doi = {10.1038/s41588-019-0504-x}, author = {Tin, Adrienne and Marten, Jonathan and Halperin Kuhns, Victoria L and Li, Yong and Wuttke, Matthias and Kirsten, Holger and Sieber, Karsten B and Qiu, Chengxiang and Gorski, Mathias and Yu, Zhi and Giri, Ayush and Sveinbjornsson, Gardar and Li, Man and Chu, Audrey Y and Hoppmann, Anselm and O{\textquoteright}Connor, Luke J and Prins, Bram and Nutile, Teresa and Noce, Damia and Akiyama, Masato and Cocca, Massimiliano and Ghasemi, Sahar and van der Most, Peter J and Horn, Katrin and Xu, Yizhe and Fuchsberger, Christian and Sedaghat, Sanaz and Afaq, Saima and Amin, Najaf and Arnl{\"o}v, Johan and Bakker, Stephan J L and Bansal, Nisha and Baptista, Daniela and Bergmann, Sven and Biggs, Mary L and Biino, Ginevra and Boerwinkle, Eric and Bottinger, Erwin P and Boutin, Thibaud S and Brumat, Marco and Burkhardt, Ralph and Campana, Eric and Campbell, Archie and Campbell, Harry and Carroll, Robert J and Catamo, Eulalia and Chambers, John C and Ciullo, Marina and Concas, Maria Pina and Coresh, Josef and Corre, Tanguy and Cusi, Daniele and Felicita, Sala Cinzia and de Borst, Martin H and De Grandi, Alessandro and de Mutsert, Ren{\'e}e and de Vries, Aiko P J and Delgado, Graciela and Demirkan, Ayse and Devuyst, Olivier and Dittrich, Katalin and Eckardt, Kai-Uwe and Ehret, Georg and Endlich, Karlhans and Evans, Michele K and Gansevoort, Ron T and Gasparini, Paolo and Giedraitis, Vilmantas and Gieger, Christian and Girotto, Giorgia and G{\"o}gele, Martin and Gordon, Scott D and Gudbjartsson, Daniel F and Gudnason, Vilmundur and Haller, Toomas and Hamet, Pavel and Harris, Tamara B and Hayward, Caroline and Hicks, Andrew A and Hofer, Edith and Holm, Hilma and Huang, Wei and Hutri-K{\"a}h{\"o}nen, Nina and Hwang, Shih-Jen and Ikram, M Arfan and Lewis, Raychel M and Ingelsson, Erik and Jakobsdottir, Johanna and Jonsdottir, Ingileif and Jonsson, Helgi and Joshi, Peter K and Josyula, Navya Shilpa and Jung, Bettina and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kanai, Masahiro and Kerr, Shona M and Kiess, Wieland and Kleber, Marcus E and Koenig, Wolfgang and Kooner, Jaspal S and K{\"o}rner, Antje and Kovacs, Peter and Kr{\"a}mer, Bernhard K and Kronenberg, Florian and Kubo, Michiaki and Kuhnel, Brigitte and La Bianca, Martina and Lange, Leslie A and Lehne, Benjamin and Lehtim{\"a}ki, Terho and Liu, Jun and Loeffler, Markus and Loos, Ruth J F and Lyytik{\"a}inen, Leo-Pekka and M{\"a}gi, Reedik and Mahajan, Anubha and Martin, Nicholas G and M{\"a}rz, Winfried and Mascalzoni, Deborah and Matsuda, Koichi and Meisinger, Christa and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and O{\textquoteright}Donnell, Christopher J and Wilson, Otis D and Gaziano, J Michael and Mishra, Pashupati P and Mohlke, Karen L and Mononen, Nina and Montgomery, Grant W and Mook-Kanamori, Dennis O and M{\"u}ller-Nurasyid, Martina and Nadkarni, Girish N and Nalls, Mike A and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M and Noordam, Raymond and O{\textquoteright}Connell, Jeffrey R and Olafsson, Isleifur and Padmanabhan, Sandosh and Penninx, Brenda W J H and Perls, Thomas and Peters, Annette and Pirastu, Mario and Pirastu, Nicola and Pistis, Giorgio and Polasek, Ozren and Ponte, Belen and Porteous, David J and Poulain, Tanja and Preuss, Michael H and Rabelink, Ton J and Raffield, Laura M and Raitakari, Olli T and Rettig, Rainer and Rheinberger, Myriam and Rice, Kenneth M and Rizzi, Federica and Robino, Antonietta and Rudan, Igor and Krajcoviechova, Alena and Cifkova, Renata and Rueedi, Rico and Ruggiero, Daniela and Ryan, Kathleen A and Saba, Yasaman and Salvi, Erika and Schmidt, Helena and Schmidt, Reinhold and Shaffer, Christian M and Smith, Albert V and Smith, Blair H and Spracklen, Cassandra N and Strauch, Konstantin and Stumvoll, Michael and Sulem, Patrick and Tajuddin, Salman M and Teren, Andrej and Thiery, Joachim and Thio, Chris H L and Thorsteinsdottir, Unnur and Toniolo, Daniela and T{\"o}njes, Anke and Tremblay, Johanne and Uitterlinden, Andr{\'e} G and Vaccargiu, Simona and van der Harst, Pim and van Duijn, Cornelia M and Verweij, Niek and V{\"o}lker, Uwe and Vollenweider, Peter and Waeber, G{\'e}rard and Waldenberger, Melanie and Whitfield, John B and Wild, Sarah H and Wilson, James F and Yang, Qiong and Zhang, Weihua and Zonderman, Alan B and Bochud, Murielle and Wilson, James G and Pendergrass, Sarah A and Ho, Kevin and Parsa, Afshin and Pramstaller, Peter P and Psaty, Bruce M and B{\"o}ger, Carsten A and Snieder, Harold and Butterworth, Adam S and Okada, Yukinori and Edwards, Todd L and Stefansson, Kari and Susztak, Katalin and Scholz, Markus and Heid, Iris M and Hung, Adriana M and Teumer, Alexander and Pattaro, Cristian and Woodward, Owen M and Vitart, Veronique and K{\"o}ttgen, Anna} } @article {7914, title = {Trans-ethnic association study of blood pressure determinants in over 750,000 individuals.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Jan}, pages = {51-62}, abstract = {

In this trans-ethnic multi-omic study, we reinterpret the genetic architecture of blood pressure to identify genes, tissues, phenomes and medication contexts of blood pressure homeostasis. We discovered 208 novel common blood pressure SNPs and 53 rare variants in genome-wide association studies of systolic, diastolic and pulse pressure in up to 776,078 participants from the Million Veteran Program (MVP) and collaborating studies, with analysis of the blood pressure clinical phenome in MVP. Our transcriptome-wide association study detected 4,043 blood pressure associations with genetically predicted gene expression of 840 genes in 45 tissues, and mouse renal single-cell RNA sequencing identified upregulated blood pressure genes in kidney tubule cells.

}, issn = {1546-1718}, doi = {10.1038/s41588-018-0303-9}, author = {Giri, Ayush and Hellwege, Jacklyn N and Keaton, Jacob M and Park, Jihwan and Qiu, Chengxiang and Warren, Helen R and Torstenson, Eric S and Kovesdy, Csaba P and Sun, Yan V and Wilson, Otis D and Robinson-Cohen, Cassianne and Roumie, Christianne L and Chung, Cecilia P and Birdwell, Kelly A and Damrauer, Scott M and DuVall, Scott L and Klarin, Derek and Cho, Kelly and Wang, Yu and Evangelou, Evangelos and Cabrera, Claudia P and Wain, Louise V and Shrestha, Rojesh and Mautz, Brian S and Akwo, Elvis A and Sargurupremraj, Muralidharan and Debette, Stephanie and Boehnke, Michael and Scott, Laura J and Luan, Jian{\textquoteright}an and Zhao, Jing-Hua and Willems, Sara M and Th{\'e}riault, S{\'e}bastien and Shah, Nabi and Oldmeadow, Christopher and Almgren, Peter and Li-Gao, Ruifang and Verweij, Niek and Boutin, Thibaud S and Mangino, Massimo and Ntalla, Ioanna and Feofanova, Elena and Surendran, Praveen and Cook, James P and Karthikeyan, Savita and Lahrouchi, Najim and Liu, Chunyu and Sep{\'u}lveda, Nuno and Richardson, Tom G and Kraja, Aldi and Amouyel, Philippe and Farrall, Martin and Poulter, Neil R and Laakso, Markku and Zeggini, Eleftheria and Sever, Peter and Scott, Robert A and Langenberg, Claudia and Wareham, Nicholas J and Conen, David and Palmer, Colin Neil Alexander and Attia, John and Chasman, Daniel I and Ridker, Paul M and Melander, Olle and Mook-Kanamori, Dennis Owen and Harst, Pim van der and Cucca, Francesco and Schlessinger, David and Hayward, Caroline and Spector, Tim D and Jarvelin, Marjo-Riitta and Hennig, Branwen J and Timpson, Nicholas J and Wei, Wei-Qi and Smith, Joshua C and Xu, Yaomin and Matheny, Michael E and Siew, Edward E and Lindgren, Cecilia and Herzig, Karl-Heinz and Dedoussis, George and Denny, Joshua C and Psaty, Bruce M and Howson, Joanna M M and Munroe, Patricia B and Newton-Cheh, Christopher and Caulfield, Mark J and Elliott, Paul and Gaziano, J Michael and Concato, John and Wilson, Peter W F and Tsao, Philip S and Velez Edwards, Digna R and Susztak, Katalin and O{\textquoteright}Donnell, Christopher J and Hung, Adriana M and Edwards, Todd L} } @article {8501, title = {{Androgens In Men Study (AIMS): protocol for meta-analyses of individual participant data investigating associations of androgens with health outcomes in men}, journal = {BMJ Open}, volume = {10}, year = {2020}, month = {05}, pages = {e034777}, abstract = {This study aims to clarify the role(s) of endogenous sex hormones to influence health outcomes in men, specifically to define the associations of plasma testosterone with incidence of cardiovascular events, cancer, dementia and mortality risk, and to identify factors predicting testosterone concentrations. Data will be accrued from at least three Australian, two European and four North American population-based cohorts involving approximately 20 000 men.\ Eligible studies include prospective cohort studies with baseline testosterone concentrations measured using mass spectrometry and 5 years of follow-up data on incident cardiovascular events, mortality, cancer diagnoses or deaths, new-onset dementia or decline in cognitive function recorded. Data for men, who were not taking androgens or drugs suppressing testosterone production, metabolism or action; and had no prior orchidectomy, are eligible. Systematic literature searches were conducted from 14 June 2019 to 31 December 2019, with no date range set for searches. Aggregate level data will be sought where individual participant data (IPD) are not available. One-stage IPD random-effects meta-analyses will be performed, using linear mixed models, generalised linear mixed models and either stratified or frailty-augmented Cox regression models. Heterogeneity in estimates from different studies will be quantified and bias investigated using funnel plots. Effect size estimates will be presented in forest plots and non-negligible heterogeneity and bias investigated using subgroup or meta-regression analyses.\ Ethics approvals obtained for each of the participating cohorts state that participants have consented to have their data collected and used for research purposes. The Androgens In Men Study has been assessed as exempt from ethics review by the Human Ethics office at the University of Western Australia (file reference number RA/4/20/5014). Each of the component studies had obtained ethics approvals; please refer to respective component studies for details. Research findings will be disseminated to the scientific and broader community via the publication of four research articles, with each involving a separate set of IPD meta-analyses (articles will investigate different, distinct outcomes), at scientific conferences and meetings of relevant professional societies. Collaborating cohort studies will disseminate findings to study participants and local communities.\ CRD42019139668.}, author = {Yeap, B. B. and Marriott, R. J. and Adams, R. J. and Antonio, L. and Ballantyne, C. M. and Bhasin, S. and Cawthon, P. M. and Couper, D. J. and Dobs, A. S. and Flicker, L. and Karlsson, M. and Martin, S. A. and Matsumoto, A. M. and Mellstr?m, D. and Norman, P. E. and Ohlsson, C. and Orwoll, E. S. and O{\textquoteright}Neill, T. W. and Shores, M. M. and Travison, T. G. and Vanderschueren, D. and Wittert, G. A. and Wu, F. C. W. and Murray, K.} } @article {8620, title = {Association of Nonobstructive Chronic Bronchitis With Respiratory Health Outcomes in Adults.}, journal = {JAMA Intern Med}, volume = {180}, year = {2020}, month = {2020 05 01}, pages = {676-686}, abstract = {

Importance: Chronic bronchitis has been associated with cigarette smoking as well as with e-cigarette use among young adults, but the association of chronic bronchitis in persons without airflow obstruction or clinical asthma, described as nonobstructive chronic bronchitis, with respiratory health outcomes remains uncertain.

Objective: To assess whether nonobstructive chronic bronchitis is associated with adverse respiratory health outcomes in adult ever smokers and never smokers.

Design, Setting, and Participants: This prospective cohort study included 22 325 adults without initial airflow obstruction (defined as the ratio of forced expiratory volume in the first second [FEV1] to forced vital capacity [FVC] of <0.70) or clinical asthma at baseline. The National Heart, Lung, and Blood Institute (NHLBI) Pooled Cohorts Study harmonized and pooled data from 9 US general population-based cohorts. Thus present study is based on data from 5 of these cohorts. Participants were enrolled from August 1971 through May 2007 and were followed up through December 2018.

Exposures: Nonobstructive chronic bronchitis was defined by questionnaire at baseline as both cough and phlegm for at least 3 months for at least 2 consecutive years.

Main Outcomes and Measures: Lung function was measured by prebronchodilator spirometry. Hospitalizations and deaths due to chronic lower respiratory disease and respiratory disease-related mortality were defined by events adjudication and administrative criteria. Models were stratified by smoking status and adjusted for anthropometric, sociodemographic, and smoking-related factors. The comparison group was participants without nonobstructive chronic bronchitis.

Results: Among 22 325 adults included in the analysis, mean (SD) age was 53.0 (16.3) years (range, 18.0-95.0 years), 58.2\% were female, 65.9\% were non-Hispanic white, and 49.6\% were ever smokers. Among 11 082 ever smokers with 99 869 person-years of follow-up, participants with nonobstructive chronic bronchitis (300 [2.7\%]) had accelerated decreases in FEV1 (4.1 mL/y; 95\% CI, 2.1-6.1 mL/y) and FVC (4.7 mL/y; 95\% CI, 2.2-7.2 mL/y), increased risks of chronic lower respiratory disease-related hospitalization or mortality (hazard ratio [HR], 2.2; 95\% CI, 1.7-2.7), and greater respiratory disease-related (HR, 2.0; 95\% CI, 1.1-3.8) and all-cause mortality (HR, 1.5; 95\% CI, 1.3-1.8) compared with ever smokers without nonobstructive chronic bronchitis. Among 11 243 never smokers with 120 004 person-years of follow-up, participants with nonobstructive chronic bronchitis (151 [1.3\%]) had greater rates of chronic lower respiratory disease-related hospitalization or mortality (HR, 3.1; 95\% CI, 2.1-4.5) compared with never smokers without nonobstructive chronic bronchitis. Nonobstructive chronic bronchitis was not associated with FEV1:FVC decline or incident airflow obstruction. The presence of at least 1 of the component symptoms of nonobstructive chronic bronchitis (ie, chronic cough or phlegm), which was common in both ever smokers (11.0\%) and never smokers (6.7\%), was associated with adverse respiratory health outcomes.

Conclusions and Relevance: The findings suggest that nonobstructive chronic bronchitis is associated with adverse respiratory health outcomes, particularly in ever smokers, and may be a high-risk phenotype suitable for risk stratification and targeted therapies.

}, keywords = {Adolescent, Adult, Aged, Aged, 80 and over, Asthma, Bronchitis, Chronic, Female, Humans, Lung, Male, Middle Aged, Prospective Studies, Respiratory Function Tests, Smokers, Smoking, Young Adult}, issn = {2168-6114}, doi = {10.1001/jamainternmed.2020.0104}, author = {Balte, Pallavi P and Chaves, Paulo H M and Couper, David J and Enright, Paul and Jacobs, David R and Kalhan, Ravi and Kronmal, Richard A and Loehr, Laura R and London, Stephanie J and Newman, Anne B and O{\textquoteright}Connor, George T and Schwartz, Joseph E and Smith, Benjamin M and Smith, Lewis J and White, Wendy B and Yende, Sachin and Oelsner, Elizabeth C} } @article {8285, title = {The association of prediagnosis social support with survival after heart failure in the Cardiovascular Health Study.}, journal = {Ann Epidemiol}, volume = {42}, year = {2020}, month = {2020 Feb}, pages = {73-77}, abstract = {

PURPOSE: Although social support has been shown to be associated with survival among persons with cardiovascular disease, little research has focused on whether social support, measured before the onset of heart failure, can enhance survival after diagnosis. The objective of this study was to assess the association between prediagnosis social support and postdiagnosis survival among older adults with heart failure.

METHODS: We obtained the data from the Cardiovascular Health Study, which included noninstitutionalized adults aged 65 years or older from four sites in the United States with primary enrollment in 1989-1990. We used two measures of social support, the Lubben Social Network Scale and the Interpersonal Support Evaluation List. The analytic data set included 529 participants with a social support measure within two years before diagnosis of heart failure.

RESULTS: After adjustment for demographic covariates, cardiovascular risk factors, and general health status, mortality rates were lower among participants in the highest tertile of social network scores (HR 0.74, 95\% CI: 0.59, 0.93) and the middle tertile (HR 0.73 [0.58, 0.90]), compared with the lowest tertile. Results with interpersonal support were null.

CONCLUSIONS: These findings suggest that prediagnosis structural social support may modestly buffer heart failure patients from mortality.

}, issn = {1873-2585}, doi = {10.1016/j.annepidem.2019.12.013}, author = {Kaiser, Paulina and Allen, Norrina and Delaney, Joseph A C and Hirsch, Calvin H and Carnethon, Mercedes and Arnold, Alice M and Odden, Michelle C} } @article {8392, title = {Brachial Flow-mediated Dilation and Risk of Dementia: The Cardiovascular Health Study.}, journal = {Alzheimer Dis Assoc Disord}, volume = {34}, year = {2020}, month = {2020 Jul-Sep}, pages = {272-274}, abstract = {

INTRODUCTION: Brachial flow-mediated dilation (FMD) is a physiologic measure of endothelial function. We determined the prospective association of brachial FMD with incident dementia among older adults.

METHODS: We included 2777 Cardiovascular Health Study participants who underwent brachial FMD measurement. Incident dementia was ascertained by medication use, International Classification of Diseases-9 codes, requirement for a proxy, and death certificates and calibrated to gold-standard assessments performed in a subset of the cohort.

RESULTS: Mean participant age at time of brachial FMD measurement was 77.9 years. We identified 1650 incident dementia cases (median follow-up=10.5 y). After adjusting for age, race, sex, education, clinic site, and baseline arterial diameter, risk of dementia for participants in the highest quartile of percent brachial FMD did not differ from those in lowest quartile (hazard ratio=0.89, 95\% confidence interval: 0.77, 1.03).

CONCLUSIONS: Brachial FMD, measured late in life, is not associated with an increased risk of incident dementia.

}, issn = {1546-4156}, doi = {10.1097/WAD.0000000000000394}, author = {Garg, Parveen K and Tan, Annabel X and Odden, Michelle C and Gardin, Julius M and Lopez, Oscar L and Newman, Anne B and Rawlings, Andreea M and Mukamal, Kenneth J} } @article {8634, title = {{Cerebral small vessel disease genomics and its implications across the lifespan}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {12}, pages = {6285}, abstract = {White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, accounting for modification/confounding by hypertension. Aggregated WMH risk variants were associated with altered white matter integrity (p = 2.5{\~A}{\textemdash}10-7) in brain images from 1,738 young healthy adults, providing insight into the lifetime impact of SVD genetic risk. Mendelian randomization suggested causal association of increasing WMH-volume with stroke, Alzheimer-type dementia, and of increasing blood pressure (BP) with larger WMH-volume, notably also in persons without clinical hypertension. Transcriptome-wide colocalization analyses showed association of WMH-volume with expression of 39 genes, of which four encode known drug targets. Finally, we provide insight into BP-independent biological pathways underlying SVD and suggest potential for genetic stratification of high-risk individuals and for genetically-informed prioritization of drug targets for prevention trials.}, author = {Sargurupremraj, M. and Suzuki, H. and Jian, X. and Sarnowski, C. and Evans, T. E. and Bis, J. C. and Eiriksdottir, G. and Sakaue, S. and Terzikhan, N. and Habes, M. and Zhao, W. and Armstrong, N. J. and Hofer, E. and Yanek, L. R. and Hagenaars, S. P. and Kumar, R. B. and van den Akker, E. B. and McWhirter, R. E. and Trompet, S. and Mishra, A. and Saba, Y. and Satizabal, C. L. and Beaudet, G. and Petit, L. and Tsuchida, A. and Zago, L. and Schilling, S. and Sigurdsson, S. and Gottesman, R. F. and Lewis, C. E. and Aggarwal, N. T. and Lopez, O. L. and Smith, J. A. and Vald?s Hern?ndez, M. C. and van der Grond, J. and Wright, M. J. and Knol, M. J. and D?rr, M. and Thomson, R. J. and Bordes, C. and Le Grand, Q. and Duperron, M. G. and Smith, A. V. and Knopman, D. S. and Schreiner, P. J. and Evans, D. A. and Rotter, J. I. and Beiser, A. S. and Maniega, S. M. and Beekman, M. and Trollor, J. and Stott, D. J. and Vernooij, M. W. and Wittfeld, K. and Niessen, W. J. and Soumar?, A. and Boerwinkle, E. and Sidney, S. and Turner, S. T. and Davies, G. and Thalamuthu, A. and V?lker, U. and van Buchem, M. A. and Bryan, R. N. and Dupuis, J. and Bastin, M. E. and Ames, D. and Teumer, A. and Amouyel, P. and Kwok, J. B. and B?low, R. and Deary, I. J. and Schofield, P. R. and Brodaty, H. and Jiang, J. and Tabara, Y. and Setoh, K. and Miyamoto, S. and Yoshida, K. and Nagata, M. and Kamatani, Y. and Matsuda, F. and Psaty, B. M. and Bennett, D. A. and De Jager, P. L. and Mosley, T. H. and Sachdev, P. S. and Schmidt, R. and Warren, H. R. and Evangelou, E. and Tr?gou?t, D. A. and Ikram, M. A. and Wen, W. and DeCarli, C. and Srikanth, V. K. and Jukema, J. W. and Slagboom, E. P. and Kardia, S. L. R. and Okada, Y. and Mazoyer, B. and Wardlaw, J. M. and Nyquist, P. A. and Mather, K. A. and Grabe, H. J. and Schmidt, H. and van Duijn, C. M. and Gudnason, V. and Longstreth, W. T. and Launer, L. J. and Lathrop, M. and Seshadri, S. and Tzourio, C. and Adams, H. H. and Matthews, P. M. and Fornage, M. and Debette, S. and Amouyel, P. and de Andrade, M. and Basu, S. and Berr, C. and Brody, J. A. and Chasman, D. I. and Dartigues, J. F. and Folsom, A. R. and Germain, M. and de Haan, H. and Heit, J. and Houwing-Duitermaat, J. and Kabrhel, C. and Kraft, P. and Legal, G. and Lindstr?m, S. and Monajemi, R. and Morange, P. E. and Psaty, B. M. and Reitsma, P. H. and Ridker, P. M. and Rose, L. M. and Rosendaal, F. R. and Saut, N. and Slagboom, E. and Smadja, D. and Smith, N. L. and Suchon, P. and Tang, W. and Taylor, K. D. and Tr?gou?t, D. A. and Tzourio, C. and de Visser, M. C. H. and van Hylckama Vlieg, A. and Weng, L. C. and Wiggins, K. L. and Gormley, P. and Anttila, V. and Winsvold, B. S. and Palta, P. and Esko, T. and Pers, T. H. and Farh, K. H. and Cuenca-Leon, E. and Muona, M. and Furlotte, N. A. and Kurth, T. and Ingason, A. and McMahon, G. and Ligthart, L. and Terwindt, G. M. and Kallela, M. and Freilinger, T. M. and Ran, C. and Gordon, S. G. and Stam, A. H. and Steinberg, S. and Borck, G. and Koiranen, M. and Quaye, L. and Adams, H. H. H. and Lehtim?ki, T. and Sarin, A. P. and Wedenoja, J. and Hinds, D. A. and Buring, J. E. and Sch?rks, M. and Ridker, P. M. and Gudlaug Hrafnsdottir, M. and Stefansson, H. and Ring, S. M. and Hottenga, J. J. and Penninx, B. W. J. H. and F?rkkil?, M. and Artto, V. and Kaunisto, M. and Veps?l?inen, S. and Malik, R. and Heath, A. C. and Madden, P. A. F. and Martin, N. G. and Montgomery, G. W. and Kurki, M. and Kals, M. and M?gi, R. and P?rn, K. and H?m?l?inen, E. and Huang, H. and Byrnes, A. E. and Franke, L. and Huang, J. and Stergiakouli, E. and Lee, P. H. and Sandor, C. and Webber, C. and Cader, Z. and Muller-Myhsok, B. and Schreiber, S. and Meitinger, T. and Eriksson, J. G. and Salomaa, V. and Heikkil?, K. and Loehrer, E. and Uitterlinden, A. G. and Hofman, A. and van Duijn, C. M. and Cherkas, L. and Pedersen, L. M. and Stubhaug, A. and Nielsen, C. S. and M?nnikk?, M. and Mihailov, E. and Milani, L. and G?bel, H. and Esserlind, A. L. and Francke Christensen, A. and Folkmann Hansen, T. and Werge, T. and Kaprio, J. and Aromaa, A. J. and Raitakari, O. and Ikram, M. A. and Spector, T. and J?rvelin, M. R. and Metspalu, A. and Kubisch, C. and Strachan, D. P. and Ferrari, M. D. and Belin, A. C. and Dichgans, M. and Wessman, M. and van den Maagdenberg, A. M. J. M. and Zwart, J. A. and Boomsma, D. I. and Davey Smith, G. and Stefansson, K. and Eriksson, N. and Daly, M. J. and Neale, B. M. and Olesen, J. and Chasman, D. I. and Nyholt, D. R. and Palotie, A.} } @article {8400, title = {Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts.}, journal = {Lancet Respir Med}, volume = {8}, year = {2020}, month = {2020 07}, pages = {696-708}, abstract = {

BACKGROUND: Genetic factors influence chronic obstructive pulmonary disease (COPD) risk, but the individual variants that have been identified have small effects. We hypothesised that a polygenic risk score using additional variants would predict COPD and associated phenotypes.

METHODS: We constructed a polygenic risk score using a genome-wide association study of lung function (FEV and FEV/forced vital capacity [FVC]) from the UK Biobank and SpiroMeta. We tested this polygenic risk score in nine cohorts of multiple ethnicities for an association with moderate-to-severe COPD (defined as FEV/FVC <0{\textperiodcentered}7 and FEV <80\% of predicted). Associations were tested using logistic regression models, adjusting for age, sex, height, smoking pack-years, and principal components of genetic ancestry. We assessed predictive performance of models by area under the curve. In a subset of studies, we also studied quantitative and qualitative CT imaging phenotypes that reflect parenchymal and airway pathology, and patterns of reduced lung growth.

FINDINGS: The polygenic risk score was associated with COPD in European (odds ratio [OR] per SD 1{\textperiodcentered}81 [95\% CI 1{\textperiodcentered}74-1{\textperiodcentered}88] and non-European (1{\textperiodcentered}42 [1{\textperiodcentered}34-1{\textperiodcentered}51]) populations. Compared with the first decile, the tenth decile of the polygenic risk score was associated with COPD, with an OR of 7{\textperiodcentered}99 (6{\textperiodcentered}56-9{\textperiodcentered}72) in European ancestry and 4{\textperiodcentered}83 (3{\textperiodcentered}45-6{\textperiodcentered}77) in non-European ancestry cohorts. The polygenic risk score was superior to previously described genetic risk scores and, when combined with clinical risk factors (ie, age, sex, and smoking pack-years), showed improved prediction for COPD compared with a model comprising clinical risk factors alone (AUC 0{\textperiodcentered}80 [0{\textperiodcentered}79-0{\textperiodcentered}81] vs 0{\textperiodcentered}76 [0{\textperiodcentered}75-0{\textperiodcentered}76]). The polygenic risk score was associated with CT imaging phenotypes, including wall area percent, quantitative and qualitative measures of emphysema, local histogram emphysema patterns, and destructive emphysema subtypes. The polygenic risk score was associated with a reduced lung growth pattern.

INTERPRETATION: A risk score comprised of genetic variants can identify a small subset of individuals at markedly increased risk for moderate-to-severe COPD, emphysema subtypes associated with cigarette smoking, and patterns of reduced lung growth.

FUNDING: US National Institutes of Health, Wellcome Trust.

}, keywords = {Adult, Case-Control Studies, Cohort Studies, Female, Forced Expiratory Volume, Genome-Wide Association Study, Humans, Male, Middle Aged, Phenotype, Pulmonary Disease, Chronic Obstructive, Risk Factors, Vital Capacity}, issn = {2213-2619}, doi = {10.1016/S2213-2600(20)30101-6}, author = {Moll, Matthew and Sakornsakolpat, Phuwanat and Shrine, Nick and Hobbs, Brian D and DeMeo, Dawn L and John, Catherine and Guyatt, Anna L and McGeachie, Michael J and Gharib, Sina A and Obeidat, Ma{\textquoteright}en and Lahousse, Lies and Wijnant, Sara R A and Brusselle, Guy and Meyers, Deborah A and Bleecker, Eugene R and Li, Xingnan and Tal-Singer, Ruth and Manichaikul, Ani and Rich, Stephen S and Won, Sungho and Kim, Woo Jin and Do, Ah Ra and Washko, George R and Barr, R Graham and Psaty, Bruce M and Bartz, Traci M and Hansel, Nadia N and Barnes, Kathleen and Hokanson, John E and Crapo, James D and Lynch, David and Bakke, Per and Gulsvik, Amund and Hall, Ian P and Wain, Louise and Weiss, Scott T and Silverman, Edwin K and Dudbridge, Frank and Tobin, Martin D and Cho, Michael H} } @article {8404, title = {The Difference Between Cystatin C and Creatinine-Based Estimated GFR and Incident Frailty: An Analysis of the Cardiovascular Health Study (CHS).}, journal = {Am J Kidney Dis}, year = {2020}, month = {2020 Jul 09}, issn = {1523-6838}, doi = {10.1053/j.ajkd.2020.05.018}, author = {Potok, O Alison and Phil, Ronit Katz D and Bansal, Nisha and Siscovick, David S and Odden, Michelle and Ix, Joachim H and Shlipak, Michael G and Rifkin, Dena E} } @article {8636, title = {{Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals}, journal = {Nat Genet}, volume = {52}, year = {2020}, month = {12}, pages = {1314{\textendash}1332}, abstract = {Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to 1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency {\^a}{\textperthousand}¤ 0.01) variant BP associations (P < 5 {\~A}{\textemdash} 10-8), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44\% coding) were 8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets.}, author = {Surendran, P. and Feofanova, E. V. and Lahrouchi, N. and Ntalla, I. and Karthikeyan, S. and Cook, J. and Chen, L. and Mifsud, B. and Yao, C. and Kraja, A. T. and Cartwright, J. H. and Hellwege, J. N. and Giri, A. and Tragante, V. and Thorleifsson, G. and Liu, D. J. and Prins, B. P. and Stewart, I. D. and Cabrera, C. P. and Eales, J. M. and Akbarov, A. and Auer, P. L. and Bielak, L. F. and Bis, J. C. and Braithwaite, V. S. and Brody, J. A. and Daw, E. W. and Warren, H. R. and Drenos, F. and Nielsen, S. F. and Faul, J. D. and Fauman, E. B. and Fava, C. and Ferreira, T. and Foley, C. N. and Franceschini, N. and Gao, H. and Giannakopoulou, O. and Giulianini, F. and Gudbjartsson, D. F. and Guo, X. and Harris, S. E. and Havulinna, A. S. and Helgadottir, A. and Huffman, J. E. and Hwang, S. J. and Kanoni, S. and Kontto, J. and Larson, M. G. and Li-Gao, R. and Lindstr?m, J. and Lotta, L. A. and Lu, Y. and Luan, J. and Mahajan, A. and Malerba, G. and Masca, N. G. D. and Mei, H. and Menni, C. and Mook-Kanamori, D. O. and Mosen-Ansorena, D. and M?ller-Nurasyid, M. and Par?, G. and Paul, D. S. and Perola, M. and Poveda, A. and Rauramaa, R. and Richard, M. and Richardson, T. G. and Sep?lveda, N. and Sim, X. and Smith, A. V. and Smith, J. A. and Staley, J. R. and Stan?kov?, A. and Sulem, P. and Th?riault, S. and Thorsteinsdottir, U. and Trompet, S. and Varga, T. V. and Velez Edwards, D. R. and Veronesi, G. and Weiss, S. and Willems, S. M. and Yao, J. and Young, R. and Yu, B. and Zhang, W. and Zhao, J. H. and Zhao, W. and Zhao, W. and Evangelou, E. and Aeschbacher, S. and Asllanaj, E. and Blankenberg, S. and Bonnycastle, L. L. and Bork-Jensen, J. and Brandslund, I. and Braund, P. S. and Burgess, S. and Cho, K. and Christensen, C. and Connell, J. and Mutsert, R. and Dominiczak, A. F. and D?rr, M. and Eiriksdottir, G. and Farmaki, A. E. and Gaziano, J. M. and Grarup, N. and Grove, M. L. and Hallmans, G. and Hansen, T. and Have, C. T. and Heiss, G. and J?rgensen, M. E. and Jousilahti, P. and Kajantie, E. and Kamat, M. and K?r?j?m?ki, A. and Karpe, F. and Koistinen, H. A. and Kovesdy, C. P. and Kuulasmaa, K. and Laatikainen, T. and Lannfelt, L. and Lee, I. T. and Lee, W. J. and Linneberg, A. and Martin, L. W. and Moitry, M. and Nadkarni, G. and Neville, M. J. and Palmer, C. N. A. and Papanicolaou, G. J. and Pedersen, O. and Peters, J. and Poulter, N. and Rasheed, A. and Rasmussen, K. L. and Rayner, N. W. and M?gi, R. and Renstr?m, F. and Rettig, R. and Rossouw, J. and Schreiner, P. J. and Sever, P. S. and Sigurdsson, E. L. and Skaaby, T. and Sun, Y. V. and Sundstrom, J. and Thorgeirsson, G. and Esko, T. and Trabetti, E. and Tsao, P. S. and Tuomi, T. and Turner, S. T. and Tzoulaki, I. and Vaartjes, I. and Vergnaud, A. C. and Willer, C. J. and Wilson, P. W. F. and Witte, D. R. and Yonova-Doing, E. and Zhang, H. and Aliya, N. and Almgren, P. and Amouyel, P. and Asselbergs, F. W. and Barnes, M. R. and Blakemore, A. I. and Boehnke, M. and Bots, M. L. and Bottinger, E. P. and Buring, J. E. and Chambers, J. C. and Chen, Y. I. and Chowdhury, R. and Conen, D. and Correa, A. and Davey Smith, G. and Boer, R. A. and Deary, I. J. and Dedoussis, G. and Deloukas, P. and Di Angelantonio, E. and Elliott, P. and Felix, S. B. and Ferri?res, J. and Ford, I. and Fornage, M. and Franks, P. W. and Franks, S. and Frossard, P. and Gambaro, G. and Gaunt, T. R. and Groop, L. and Gudnason, V. and Harris, T. B. and Hayward, C. and Hennig, B. J. and Herzig, K. H. and Ingelsson, E. and Tuomilehto, J. and J?rvelin, M. R. and Jukema, J. W. and Kardia, S. L. R. and Kee, F. and Kooner, J. S. and Kooperberg, C. and Launer, L. J. and Lind, L. and Loos, R. J. F. and Majumder, A. A. S. and Laakso, M. and McCarthy, M. I. and Melander, O. and Mohlke, K. L. and Murray, A. D. and Nordestgaard, B. G. and Orho-Melander, M. and Packard, C. J. and Padmanabhan, S. and Palmas, W. and Polasek, O. and Porteous, D. J. and Prentice, A. M. and Province, M. A. and Relton, C. L. and Rice, K. and Ridker, P. M. and Rolandsson, O. and Rosendaal, F. R. and Rotter, J. I. and Rudan, I. and Salomaa, V. and Samani, N. J. and Sattar, N. and Sheu, W. H. and Smith, B. H. and Soranzo, N. and Spector, T. D. and Starr, J. M. and Sebert, S. and Taylor, K. D. and Lakka, T. A. and Timpson, N. J. and Tobin, M. D. and van der Harst, P. and van der Meer, P. and Ramachandran, V. S. and Verweij, N. and Virtamo, J. and V?lker, U. and Weir, D. R. and Zeggini, E. and Charchar, F. J. and Wareham, N. J. and Langenberg, C. and Tomaszewski, M. and Butterworth, A. S. and Caulfield, M. J. and Danesh, J. and Edwards, T. L. and Holm, H. and Hung, A. M. and Lindgren, C. M. and Liu, C. and Manning, A. K. and Morris, A. P. and Morrison, A. C. and O{\textquoteright}Donnell, C. J. and Psaty, B. M. and Saleheen, D. and Stefansson, K. and Boerwinkle, E. and Chasman, D. I. and Levy, D. and Newton-Cheh, C. and Munroe, P. B. and Howson, J. M. M. and de Boer, R. A. and van der Harst, P. and van der Meer, P. and Verweij, N. and Butterworth, A. S. and Danesh, J. and Langenberg, C. and Deloukas, P. and McCarthy, M. I. and Franks, P. W. and Rolandsson, O. and Wareham, N. J. and Prins, B. P. and Zeggini, E. and Hellwege, J. N. and Giri, A. and Edwards, D. R. V. and Cho, K. and Gaziano, J. M. and Kovesdy, C. P. and Sun, Y. V. and Tsao, P. S. and Wilson, P. W. F. and Edwards, T. L. and Hung, A. M. and O{\textquoteright}Donnell, C. J.} } @article {8623, title = {A Dyadic Growth Modeling Approach for Examining Associations Between Weight Gain and Lung Function Decline.}, journal = {Am J Epidemiol}, volume = {189}, year = {2020}, month = {2020 10 01}, pages = {1173-1184}, abstract = {

The relationship between body weight and lung function is complex. Using a dyadic multilevel linear modeling approach, treating body mass index (BMI; weight (kg)/height (m)2) and lung function as paired, within-person outcomes, we tested the hypothesis that persons with more rapid increase in BMI exhibit more rapid decline in lung function, as measured by forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and their ratio (FEV1:FVC). Models included random intercepts and slopes and adjusted for sociodemographic and smoking-related factors. A sample of 9,115 adults with paired measurements of BMI and lung function taken at >=3 visits were selected from a pooled set of 5 US population-based cohort studies (1983-2018; mean age at baseline = 46 years; median follow-up, 19 years). At age 46 years, average annual rates of change in BMI, FEV1, FVC, and FEV1:FVC ratio were 0.22 kg/m2/year, -25.50 mL/year, -21.99 mL/year, and~-0.24\%/year, respectively. Persons with steeper BMI increases had faster declines in FEV1 (r~=~-0.16) and FVC (r~=~-0.26) and slower declines in FEV1:FVC ratio (r~=~0.11) (all P~values <~0.0001). Results were similar in subgroup analyses. Residual correlations were negative (P~<~0.0001), suggesting additional interdependence between BMI and lung function. Results show that greater rates of weight gain are associated with greater rates of lung function loss.

}, keywords = {Adult, Aged, Body Mass Index, Cohort Studies, Humans, Linear Models, Lung, Middle Aged, Respiratory Function Tests, Weight Gain}, issn = {1476-6256}, doi = {10.1093/aje/kwaa059}, author = {Cornelius, Talea and Schwartz, Joseph E and Balte, Pallavi and Bhatt, Surya P and Cassano, Patricia A and Currow, David and Jacobs, David R and Johnson, Miriam and Kalhan, Ravi and Kronmal, Richard and Loehr, Laura and O{\textquoteright}Connor, George T and Smith, Benjamin and White, Wendy B and Yende, Sachin and Oelsner, Elizabeth C} } @article {8453, title = {{Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale}, journal = {Nat Genet}, volume = {52}, year = {2020}, month = {Sep}, pages = {969{\textendash}983}, abstract = {Large-scale whole-genome sequencing studies have enabled the analysis of rare variants (RVs) associated with complex phenotypes. Commonly used RV association tests have limited scope to leverage variant functions. We propose STAAR (variant-set test for association using annotation information), a scalable and powerful RV association test method that effectively incorporates both variant categories and multiple complementary annotations using a dynamic weighting scheme. For the latter, we introduce {\textquoteright}annotation principal components{\textquoteright}, multidimensional summaries of in silico variant annotations. STAAR accounts for population structure and relatedness and is scalable for analyzing very large cohort and biobank whole-genome sequencing studies of continuous and dichotomous traits. We applied STAAR to identify RVs associated with four lipid traits in 12,316 discovery and 17,822 replication samples from the Trans-Omics for Precision Medicine Program. We discovered and replicated new RV associations, including disruptive missense RVs of NPC1L1 and an intergenic region near APOC1P1 associated with low-density lipoprotein cholesterol.}, author = {Li, X. and Li, Z. and Zhou, H. and Gaynor, S. M. and Liu, Y. and Chen, H. and Sun, R. and Dey, R. and Arnett, D. K. and Aslibekyan, S. and Ballantyne, C. M. and Bielak, L. F. and Blangero, J. and Boerwinkle, E. and Bowden, D. W. and Broome, J. G. and Conomos, M. P. and Correa, A. and Cupples, L. A. and Curran, J. E. and Freedman, B. I. and Guo, X. and Hindy, G. and Irvin, M. R. and Kardia, S. L. R. and Kathiresan, S. and Khan, A. T. and Kooperberg, C. L. and Laurie, C. C. and Liu, X. S. and Mahaney, M. C. and Manichaikul, A. W. and Martin, L. W. and Mathias, R. A. and McGarvey, S. T. and Mitchell, B. D. and Montasser, M. E. and Moore, J. E. and Morrison, A. C. and O{\textquoteright}Connell, J. R. and Palmer, N. D. and Pampana, A. and Peralta, J. M. and Peyser, P. A. and Psaty, B. M. and Redline, S. and Rice, K. M. and Rich, S. S. and Smith, J. A. and Tiwari, H. K. and Tsai, M. Y. and Vasan, R. S. and Wang, F. F. and Weeks, D. E. and Weng, Z. and Wilson, J. G. and Yanek, L. R. and Neale, B. M. and Sunyaev, S. R. and Abecasis, G. R. and Rotter, J. I. and Willer, C. J. and Peloso, G. M. and Natarajan, P. and Lin, X. and Abe, N. and Abecasis, G. R. and Aguet, F. and Albert, C. and Almasy, L. and Alonso, A. and Ament, S. and Anderson, P. and Anugu, P. and Applebaum-Bowden, D. and Ardlie, K. and Arking, D. and Arnett, D. K. and Ashley-Koch, A. and Aslibekyan, S. and Assimes, T. and Auer, P. and Avramopoulos, D. and Barnard, J. and Barnes, K. and Barr, R. G. and Barron-Casella, E. and Barwick, L. and Beaty, T. and Beck, G. and Becker, D. and Becker, L. and Beer, R. and Beitelshees, A. and Benjamin, E. and Benos, T. and Bezerra, M. and Bielak, L. F. and Bis, J. and Blackwell, T. and Blangero, J. and Boerwinkle, E. and Bowden, D. W. and Bowler, R. and Brody, J. and Broeckel, U. and Broome, J. G. and Bunting, K. and Burchard, E. and Bustamante, C. and Buth, E. and Cade, B. and Cardwell, J. and Carey, V. and Carty, C. and Casaburi, R. and Casella, J. and Castaldi, P. and Chaffin, M. and Chang, C. and Chang, Y. C. and Chasman, D. and Chavan, S. and Chen, B. J. and Chen, W. M. and Chen, Y. I. and Cho, M. and Choi, S. H. and Chuang, L. M. and Chung, M. and Chung, R. H. and Clish, C. and Comhair, S. and Conomos, M. P. and Cornell, E. and Correa, A. and Crandall, C. and Crapo, J. and Cupples, L. A. and Curran, J. E. and Curtis, J. and Custer, B. and Damcott, C. and Darbar, D. and Das, S. and David, S. and Davis, C. and Daya, M. and de Andrade, M. and Fuentes, L. L. and DeBaun, M. and Deka, R. and DeMeo, D. and Devine, S. and Duan, Q. and Duggirala, R. and Durda, J. P. and Dutcher, S. and Eaton, C. and Ekunwe, L. and El Boueiz, A. and Ellinor, P. and Emery, L. and Erzurum, S. and Farber, C. and Fingerlin, T. and Flickinger, M. and Fornage, M. and Franceschini, N. and Frazar, C. and Fu, M. and Fullerton, S. M. and Fulton, L. and Gabriel, S. and Gan, W. and Gao, S. and Gao, Y. and Gass, M. and Gelb, B. and Geng, X. P. and Geraci, M. and Germer, S. and Gerszten, R. and Ghosh, A. and Gibbs, R. and Gignoux, C. and Gladwin, M. and Glahn, D. and Gogarten, S. and Gong, D. W. and Goring, H. and Graw, S. and Grine, D. and Gu, C. C. and Guan, Y. and Guo, X. and Gupta, N. and Haessler, J. and Hall, M. and Harris, D. and Hawley, N. L. and He, J. and Heckbert, S. and Hernandez, R. and Herrington, D. and Hersh, C. and Hidalgo, B. and Hixson, J. and Hobbs, B. and Hokanson, J. and Hong, E. and Hoth, K. and Hsiung, C. A. and Hung, Y. J. and Huston, H. and Hwu, C. M. and Irvin, M. R. and Jackson, R. and Jain, D. and Jaquish, C. and Jhun, M. A. and Johnsen, J. and Johnson, A. and Johnson, C. and Johnston, R. and Jones, K. and Kang, H. M. and Kaplan, R. and Kardia, S. L. R. and Kathiresan, S. and Kelly, S. and Kenny, E. and Kessler, M. and Khan, A. T. and Kim, W. and Kinney, G. and Konkle, B. and Kooperberg, C. L. and Kramer, H. and Lange, C. and Lange, E. and Lange, L. and Laurie, C. C. and Laurie, C. and LeBoff, M. and Lee, J. and Lee, S. S. and Lee, W. J. and LeFaive, J. and Levine, D. and Levy, D. and Lewis, J. and Li, X. and Li, Y. and Lin, H. and Lin, H. and Lin, K. H. and Lin, X. and Liu, S. and Liu, Y. and Liu, Y. and Loos, R. J. F. and Lubitz, S. and Lunetta, K. and Luo, J. and Mahaney, M. C. and Make, B. and Manichaikul, A. W. and Manson, J. and Margolin, L. and Martin, L. W. and Mathai, S. and Mathias, R. A. and May, S. and McArdle, P. and McDonald, M. L. and McFarland, S. and McGarvey, S. T. and McGoldrick, D. and McHugh, C. and Mei, H. and Mestroni, L. and Meyers, D. A. and Mikulla, J. and Min, N. and Minear, M. and Minster, R. L. and Mitchell, B. D. and Moll, M. and Montasser, M. E. and Montgomery, C. and Moscati, A. and Musani, S. and Mwasongwe, S. and Mychaleckyj, J. C. and Nadkarni, G. and Naik, R. and Naseri, T. and Natarajan, P. and Nekhai, S. and Nelson, S. C. and Neltner, B. and Nickerson, D. and North, K. and O{\textquoteright}Connell, J. R. and O{\textquoteright}Connor, T. and Ochs-Balcom, H. and Paik, D. and Palmer, N. D. and Pankow, J. and Papanicolaou, G. and Parsa, A. and Peralta, J. M. and Perez, M. and Perry, J. and Peters, U. and Peyser, P. A. and Phillips, L. S. and Pollin, T. and Post, W. and Becker, J. P. and Boorgula, M. P. and Preuss, M. and Psaty, B. M. and Qasba, P. and Qiao, D. and Qin, Z. and Rafaels, N. and Raffield, L. and Vasan, R. S. and Rao, D. C. and Rasmussen-Torvik, L. and Ratan, A. and Redline, S. and Reed, R. and Regan, E. and Reiner, A. and Reupena, M. S. and Rice, K. M. and Rich, S. S. and Roden, D. and Roselli, C. and Rotter, J. I. and Ruczinski, I. and Russell, P. and Ruuska, S. and Ryan, K. and Sabino, E. C. and Saleheen, D. and Salimi, S. and Salzberg, S. and Sandow, K. and Sankaran, V. G. and Scheller, C. and Schmidt, E. and Schwander, K. and Schwartz, D. and Sciurba, F. and Seidman, C. and Seidman, J. and Sheehan, V. and Sherman, S. L. and Shetty, A. and Shetty, A. and Sheu, W. H. and Shoemaker, M. B. and Silver, B. and Silverman, E. and Smith, J. A. and Smith, J. and Smith, N. and Smith, T. and Smoller, S. and Snively, B. and Snyder, M. and Sofer, T. and Sotoodehnia, N. and Stilp, A. M. and Storm, G. and Streeten, E. and Su, J. L. and Sung, Y. J. and Sylvia, J. and Szpiro, A. and Sztalryd, C. and Taliun, D. and Tang, H. and Taub, M. and Taylor, K. D. and Taylor, M. and Taylor, S. and Telen, M. and Thornton, T. A. and Threlkeld, M. and Tinker, L. and Tirschwell, D. and Tishkoff, S. and Tiwari, H. K. and Tong, C. and Tracy, R. and Tsai, M. Y. and Vaidya, D. and Van Den Berg, D. and VandeHaar, P. and Vrieze, S. and Walker, T. and Wallace, R. and Walts, A. and Wang, F. F. and Wang, H. and Watson, K. and Weeks, D. E. and Weir, B. and Weiss, S. and Weng, L. C. and Wessel, J. and Willer, C. J. and Williams, K. and Williams, L. K. and Wilson, C. and Wilson, J. G. and Wong, Q. and Wu, J. and Xu, H. and Yanek, L. R. and Yang, I. and Yang, R. and Zaghloul, N. and Zekavat, M. and Zhang, Y. and Zhao, S. X. and Zhao, W. and Zhi, D. and Zhou, X. and Zhu, X. and Zody, M. and Zoellner, S. and Abdalla, M. and Abecasis, G. R. and Arnett, D. K. and Aslibekyan, S. and Assimes, T. and Atkinson, E. and Ballantyne, C. M. and Beitelshees, A. and Bielak, L. F. and Bis, J. and Bodea, C. and Boerwinkle, E. and Bowden, D. W. and Brody, J. and Cade, B. and Carlson, J. and Chang, I. S. and Chen, Y. I. and Chun, S. and Chung, R. H. and Conomos, M. P. and Correa, A. and Cupples, L. A. and Damcott, C. and de Vries, P. and Do, R. and Elliott, A. and Fu, M. and Ganna, A. and Gong, D. W. and Graham, S. and Haas, M. and Haring, B. and He, J. and Heckbert, S. and Himes, B. and Hixson, J. and Irvin, M. R. and Jain, D. and Jarvik, G. and Jhun, M. A. and Jiang, J. and Jun, G. and Kalyani, R. and Kardia, S. L. R. and Kathiresan, S. and Khera, A. and Klarin, D. and Kooperberg, C. L. and Kral, B. and Lange, L. and Laurie, C. C. and Laurie, C. and Lemaitre, R. and Li, Z. and Li, X. and Lin, X. and Mahaney, M. C. and Manichaikul, A. W. and Martin, L. W. and Mathias, R. A. and Mathur, R. and McGarvey, S. T. and McHugh, C. and McLenithan, J. and Mikulla, J. and Mitchell, B. D. and Montasser, M. E. and Moran, A. and Morrison, A. C. and Nakao, T. and Natarajan, P. and Nickerson, D. and North, K. and O{\textquoteright}Connell, J. R. and O{\textquoteright}Donnell, C. and Palmer, N. D. and Pampana, A. and Patel, A. and Peloso, G. M. and Perry, J. and Peters, U. and Peyser, P. A. and Pirruccello, J. and Pollin, T. and Preuss, M. and Psaty, B. M. and Rao, D. C. and Redline, S. and Reed, R. and Reiner, A. and Rich, S. S. and Rosenthal, S. and Rotter, J. I. and Schoenberg, J. and Selvaraj, M. S. and Sheu, W. H. and Smith, J. A. and Sofer, T. and Stilp, A. M. and Sunyaev, S. R. and Surakka, I. and Sztalryd, C. and Tang, H. and Taylor, K. D. and Tsai, M. Y. and Uddin, M. M. and Urbut, S. and Verbanck, M. and Von Holle, A. and Wang, H. and Wang, F. F. and Wiggins, K. and Willer, C. J. and Wilson, J. G. and Wolford, B. and Xu, H. and Yanek, L. R. and Zaghloul, N. and Zekavat, M. and Zhang, J.} } @article {8381, title = {Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci.}, journal = {Mol Psychiatry}, year = {2020}, month = {2020 May 05}, abstract = {

Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 {\texttimes} 10). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP.

}, issn = {1476-5578}, doi = {10.1038/s41380-020-0719-3}, author = {de Las Fuentes, Lisa and Sung, Yun Ju and Noordam, Raymond and Winkler, Thomas and Feitosa, Mary F and Schwander, Karen and Bentley, Amy R and Brown, Michael R and Guo, Xiuqing and Manning, Alisa and Chasman, Daniel I and Aschard, Hugues and Bartz, Traci M and Bielak, Lawrence F and Campbell, Archie and Cheng, Ching-Yu and Dorajoo, Rajkumar and Hartwig, Fernando P and Horimoto, A R V R and Li, Changwei and Li-Gao, Ruifang and Liu, Yongmei and Marten, Jonathan and Musani, Solomon K and Ntalla, Ioanna and Rankinen, Tuomo and Richard, Melissa and Sim, Xueling and Smith, Albert V and Tajuddin, Salman M and Tayo, Bamidele O and Vojinovic, Dina and Warren, Helen R and Xuan, Deng and Alver, Maris and Boissel, Mathilde and Chai, Jin-Fang and Chen, Xu and Christensen, Kaare and Divers, Jasmin and Evangelou, Evangelos and Gao, Chuan and Girotto, Giorgia and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Kuhnel, Brigitte and Laguzzi, Federica and Li, Xiaoyin and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Poveda, Alaitz and Rauramaa, Rainer and Riaz, Muhammad and Rueedi, Rico and Shu, Xiao-Ou and Snieder, Harold and Sofer, Tamar and Takeuchi, Fumihiko and Verweij, Niek and Ware, Erin B and Weiss, Stefan and Yanek, Lisa R and Amin, Najaf and Arking, Dan E and Arnett, Donna K and Bergmann, Sven and Boerwinkle, Eric and Brody, Jennifer A and Broeckel, Ulrich and Brumat, Marco and Burke, Gregory and Cabrera, Claudia P and Canouil, Micka{\"e}l and Chee, Miao Li and Chen, Yii-Der Ida and Cocca, Massimiliano and Connell, John and de Silva, H Janaka and de Vries, Paul S and Eiriksdottir, Gudny and Faul, Jessica D and Fisher, Virginia and Forrester, Terrence and Fox, Ervin F and Friedlander, Yechiel and Gao, He and Gigante, Bruna and Giulianini, Franco and Gu, Chi Charles and Gu, Dongfeng and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hunt, Steven and Ikram, M Arfan and Irvin, Marguerite R and K{\"a}h{\"o}nen, Mika and Kavousi, Maryam and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Komulainen, Pirjo and Kraja, Aldi T and Krieger, J E and Langefeld, Carl D and Li, Yize and Liang, Jingjing and Liewald, David C M and Liu, Ching-Ti and Liu, Jianjun and Lohman, Kurt K and M{\"a}gi, Reedik and McKenzie, Colin A and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Milani, Lili and Mook-Kanamori, Dennis O and Nalls, Mike A and Nelson, Christopher P and Norris, Jill M and O{\textquoteright}Connell, Jeff and Ogunniyi, Adesola and Padmanabhan, Sandosh and Palmer, Nicholette D and Pedersen, Nancy L and Perls, Thomas and Peters, Annette and Petersmann, Astrid and Peyser, Patricia A and Polasek, Ozren and Porteous, David J and Raffel, Leslie J and Rice, Treva K and Rotter, Jerome I and Rudan, Igor and Rueda-Ochoa, Oscar-Leonel and Sabanayagam, Charumathi and Salako, Babatunde L and Schreiner, Pamela J and Shikany, James M and Sidney, Stephen S and Sims, Mario and Sitlani, Colleen M and Smith, Jennifer A and Starr, John M and Strauch, Konstantin and Swertz, Morris A and Teumer, Alexander and Tham, Yih Chung and Uitterlinden, Andr{\'e} G and Vaidya, Dhananjay and van der Ende, M Yldau and Waldenberger, Melanie and Wang, Lihua and Wang, Ya-Xing and Wei, Wen-Bin and Weir, David R and Wen, Wanqing and Yao, Jie and Yu, Bing and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Bowden, Donald W and Deary, Ian J and D{\"o}rr, Marcus and Esko, T{\~o}nu and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Jonas, Jost Bruno and Kammerer, Candace M and Kato, Norihiro and Lakka, Timo A and Leander, Karin and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Marques-Vidal, Pedro and Penninx, Brenda W J H and Samani, Nilesh J and van der Harst, Pim and Wagenknecht, Lynne E and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Bouchard, Claude and Cooper, Richard S and Correa, Adolfo and Evans, Michele K and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kelly, Tanika N and Kritchevsky, Stephen B and Levy, Daniel and Palmas, Walter R and Pereira, A C and Province, Michael M and Psaty, Bruce M and Ridker, Paul M and Rotimi, Charles N and Tai, E Shyong and van Dam, Rob M and van Duijn, Cornelia M and Wong, Tien Yin and Rice, Kenneth and Gauderman, W James and Morrison, Alanna C and North, Kari E and Kardia, Sharon L R and Caulfield, Mark J and Elliott, Paul and Munroe, Patricia B and Franks, Paul W and Rao, Dabeeru C and Fornage, Myriam} } @article {8506, title = {The genetic architecture of the human cerebral cortex}, journal = {Science}, volume = {367}, year = {2020}, month = {Aug-03-2021}, pages = {eaay6690}, issn = {0036-8075}, doi = {10.1126/science.aay6690}, url = {https://www.sciencemag.org/lookup/doi/10.1126/science.aay6690https://syndication.highwire.org/content/doi/10.1126/science.aay6690https://syndication.highwire.org/content/doi/10.1126/science.aay6690}, author = {Grasby, Katrina L. and Jahanshad, Neda and Painter, Jodie N. and Colodro-Conde, Luc{\'\i}a and Bralten, Janita and Hibar, Derrek P. and Lind, Penelope A. and Pizzagalli, Fabrizio and Ching, Christopher R. K. and McMahon, Mary Agnes B. and Shatokhina, Natalia and Zsembik, Leo C. P. and Thomopoulos, Sophia I. and Zhu, Alyssa H. and Strike, Lachlan T. and Agartz, Ingrid and Alhusaini, Saud and Almeida, Marcio A. A. and Aln{\ae}s, Dag and Amlien, Inge K. and Andersson, Micael and Ard, Tyler and Armstrong, Nicola J. and Ashley-Koch, Allison and Atkins, Joshua R. and Bernard, Manon and Brouwer, Rachel M. and Buimer, Elizabeth E. L. and B{\"u}low, Robin and B{\"u}rger, Christian and Cannon, Dara M. and Chakravarty, Mallar and Chen, Qiang and Cheung, Joshua W. and Couvy-Duchesne, Baptiste and Dale, Anders M. and Dalvie, Shareefa and de Araujo, T{\^a}nia K. and de Zubicaray, Greig I. and de Zwarte, Sonja M. C. and den Braber, Anouk and Doan, Nhat Trung and Dohm, Katharina and Ehrlich, Stefan and Engelbrecht, Hannah-Ruth and Erk, Susanne and Fan, Chun Chieh and Fedko, Iryna O. and Foley, Sonya F. and Ford, Judith M. and Fukunaga, Masaki and Garrett, Melanie E. and Ge, Tian and Giddaluru, Sudheer and Goldman, Aaron L. and Green, Melissa J. and Groenewold, Nynke A. and Grotegerd, Dominik and Gurholt, Tiril P. and Gutman, Boris A. and Hansell, Narelle K. and Harris, Mathew A. and Harrison, Marc B. and Haswell, Courtney C. and Hauser, Michael and Herms, Stefan and Heslenfeld, Dirk J. and Ho, New Fei and Hoehn, David and Hoffmann, Per and Holleran, Laurena and Hoogman, Martine and Hottenga, Jouke-Jan and Ikeda, Masashi and Janowitz, Deborah and Jansen, Iris E. and Jia, Tianye and Jockwitz, Christiane and Kanai, Ryota and Karama, Sherif and Kasperaviciute, Dalia and Kaufmann, Tobias and Kelly, Sinead and Kikuchi, Masataka and Klein, Marieke and Knapp, Michael and Knodt, Annchen R. and Kr{\"a}mer, Bernd and Lam, Max and Lancaster, Thomas M. and Lee, Phil H. and Lett, Tristram A. and Lewis, Lindsay B. and Lopes-Cendes, Iscia and Luciano, Michelle and Macciardi, Fabio and Marquand, Andre F. and Mathias, Samuel R. and Melzer, Tracy R. and Milaneschi, Yuri and Mirza-Schreiber, Nazanin and Moreira, Jose C. V. and M{\"u}hleisen, Thomas W. and M{\"u}ller-Myhsok, Bertram and Najt, Pablo and Nakahara, Soichiro and Nho, Kwangsik and Olde Loohuis, Loes M. and Orfanos, Dimitri Papadopoulos and Pearson, John F. and Pitcher, Toni L. and P{\"u}tz, Benno and Quid{\'e}, Yann and Ragothaman, Anjanibhargavi and Rashid, Faisal M. and Reay, William R. and Redlich, Ronny and Reinbold, C{\'e}line S. and Repple, Jonathan and Richard, Genevi{\`e}ve and Riedel, Brandalyn C. and Risacher, Shannon L. and Rocha, Cristiane S. and Mota, Nina Roth and Salminen, Lauren and Saremi, Arvin and Saykin, Andrew J. and Schlag, Fenja and Schmaal, Lianne and Schofield, Peter R. and Secolin, Rodrigo and Shapland, Chin Yang and Shen, Li and Shin, Jean and Shumskaya, Elena and S{\o}nderby, Ida E. and Sprooten, Emma and Tansey, Katherine E. and Teumer, Alexander and Thalamuthu, Anbupalam and Tordesillas-Gutierrez, Diana and Turner, Jessica A. and Uhlmann, Anne and Vallerga, Costanza Ludovica and van der Meer, Dennis and van Donkelaar, Marjolein M. J. and van Eijk, Liza and van Erp, Theo G. M. and van Haren, Neeltje E. M. and van Rooij, Daan and van Tol, Marie-Jose and Veldink, Jan H. and Verhoef, Ellen and Walton, Esther and Wang, Mingyuan and Wang, Yunpeng and Wardlaw, Joanna M. and Wen, Wei and Westlye, Lars T. and Whelan, Christopher D. and Witt, Stephanie H. and Wittfeld, Katharina and Wolf, Christiane and Wolfers, Thomas and Wu, Jing Qin and Yasuda, Clarissa L. and Zaremba, Dario and Zhang, Zuo and Zwiers, Marcel P. and Artiges, Eric and Assareh, Amelia A. and Ayesa-Arriola, Rosa and Belger, Aysenil and Brandt, Christine L. and Brown, Gregory G. and Cichon, Sven and Curran, Joanne E. and Davies, Gareth E. and Degenhardt, Franziska and Dennis, Michelle F. and Dietsche, Bruno and Djurovic, Srdjan and Doherty, Colin P. and Espiritu, Ryan and Garijo, Daniel and Gil, Yolanda and Gowland, Penny A. and Green, Robert C. and H{\"a}usler, Alexander N. and Heindel, Walter and Ho, Beng-Choon and Hoffmann, Wolfgang U. and Holsboer, Florian and Homuth, Georg and Hosten, Norbert and Jack, Clifford R. and Jang, MiHyun and Jansen, Andreas and Kimbrel, Nathan A. and Kolsk{\r a}r, Knut and Koops, Sanne and Krug, Axel and Lim, Kelvin O. and Luykx, Jurjen J. and Mathalon, Daniel H. and Mather, Karen A. and Mattay, Venkata S. and Matthews, Sarah and Mayoral Van Son, Jaqueline and McEwen, Sarah C. and Melle, Ingrid and Morris, Derek W. and Mueller, Bryon A. and Nauck, Matthias and Nordvik, Jan E. and N{\"o}then, Markus M. and O{\textquoteright}Leary, Daniel S. and Opel, Nils and Martinot, Marie-Laure Paill{\`e}re and Pike, G. Bruce and Preda, Adrian and Quinlan, Erin B. and Rasser, Paul E. and Ratnakar, Varun and Reppermund, Simone and Steen, Vidar M. and Tooney, Paul A. and Torres, F{\'a}bio R. and Veltman, Dick J. and Voyvodic, James T. and Whelan, Robert and White, Tonya and Yamamori, Hidenaga and Adams, Hieab H. H. and Bis, Joshua C. and Debette, Stephanie and DeCarli, Charles and Fornage, Myriam and Gudnason, Vilmundur and Hofer, Edith and Ikram, M. Arfan and Launer, Lenore and Longstreth, W. T. and Lopez, Oscar L. and Mazoyer, Bernard and Mosley, Thomas H. and Roshchupkin, Gennady V. and Satizabal, Claudia L. and Schmidt, Reinhold and Seshadri, Sudha and Yang, Qiong and Alvim, Marina K. M. and Ames, David and Anderson, Tim J. and Andreassen, Ole A. and Arias-Vasquez, Alejandro and Bastin, Mark E. and Baune, Bernhard T. and Beckham, Jean C. and Blangero, John and Boomsma, Dorret I. and Brodaty, Henry and Brunner, Han G. and Buckner, Randy L. and Buitelaar, Jan K. and Bustillo, Juan R. and Cahn, Wiepke and Cairns, Murray J. and Calhoun, Vince and Carr, Vaughan J. and Caseras, Xavier and Caspers, Svenja and Cavalleri, Gianpiero L. and Cendes, Fernando and Corvin, Aiden and Crespo-Facorro, Benedicto and Dalrymple-Alford, John C. and Dannlowski, Udo and de Geus, Eco J. C. and Deary, Ian J. and Delanty, Norman and Depondt, Chantal and Desrivi{\`e}res, Sylvane and Donohoe, Gary and Espeseth, Thomas and Fern{\'a}ndez, Guill{\'e}n and Fisher, Simon E. and Flor, Herta and Forstner, Andreas J. and Francks, Clyde and Franke, Barbara and Glahn, David C. and Gollub, Randy L. and Grabe, Hans J. and Gruber, Oliver and H{\r a}berg, Asta K. and Hariri, Ahmad R. and Hartman, Catharina A. and Hashimoto, Ryota and Heinz, Andreas and Henskens, Frans A. and Hillegers, Manon H. J. and Hoekstra, Pieter J. and Holmes, Avram J. and Hong, L. Elliot and Hopkins, William D. and Hulshoff Pol, Hilleke E. and Jernigan, Terry L. and J{\"o}nsson, Erik G. and Kahn, Ren{\'e} S. and Kennedy, Martin A. and Kircher, Tilo T. J. and Kochunov, Peter and Kwok, John B. J. and Le Hellard, Stephanie and Loughland, Carmel M. and Martin, Nicholas G. and Martinot, Jean-Luc and McDonald, Colm and McMahon, Katie L. and Meyer-Lindenberg, Andreas and Michie, Patricia T. and Morey, Rajendra A. and Mowry, Bryan and Nyberg, Lars and Oosterlaan, Jaap and Ophoff, Roel A. and Pantelis, Christos and Paus, Tom{\'a}{\v s} and Pausova, Zdenka and Penninx, Brenda W. J. H. and Polderman, Tinca J. C. and Posthuma, Danielle and Rietschel, Marcella and Roffman, Joshua L. and Rowland, Laura M. and Sachdev, Perminder S. and S{\"a}mann, Philipp G. and Schall, Ulrich and Schumann, Gunter and Scott, Rodney J. and Sim, Kang and Sisodiya, Sanjay M. and Smoller, Jordan W. and Sommer, Iris E. and St Pourcain, Beate and Stein, Dan J. and Toga, Arthur W. and Trollor, Julian N. and Van der Wee, Nic J. A. and van {\textquoteright}t Ent, Dennis and V{\"o}lzke, Henry and Walter, Henrik and Weber, Bernd and Weinberger, Daniel R. and Wright, Margaret J. and Zhou, Juan and Stein, Jason L. and Thompson, Paul M. and Medland, Sarah E.} } @article {8484, title = {{Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {09}, pages = {4796}, abstract = {Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/{\^I}{\texttwosuperior}-catenin, TGF-{\^I}{\texttwosuperior} and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.}, author = {Hofer, E. and Roshchupkin, G. V. and Adams, H. H. H. and Knol, M. J. and Lin, H. and Li, S. and Zare, H. and Ahmad, S. and Armstrong, N. J. and Satizabal, C. L. and Bernard, M. and Bis, J. C. and Gillespie, N. A. and Luciano, M. and Mishra, A. and Scholz, M. and Teumer, A. and Xia, R. and Jian, X. and Mosley, T. H. and Saba, Y. and Pirpamer, L. and Seiler, S. and Becker, J. T. and Carmichael, O. and Rotter, J. I. and Psaty, B. M. and Lopez, O. L. and Amin, N. and van der Lee, S. J. and Yang, Q. and Himali, J. J. and Maillard, P. and Beiser, A. S. and DeCarli, C. and Karama, S. and Lewis, L. and Harris, M. and Bastin, M. E. and Deary, I. J. and Veronica Witte, A. and Beyer, F. and Loeffler, M. and Mather, K. A. and Schofield, P. R. and Thalamuthu, A. and Kwok, J. B. and Wright, M. J. and Ames, D. and Trollor, J. and Jiang, J. and Brodaty, H. and Wen, W. and Vernooij, M. W. and Hofman, A. and Uitterlinden, A. G. and Niessen, W. J. and Wittfeld, K. and B?low, R. and V?lker, U. and Pausova, Z. and Bruce Pike, G. and Maingault, S. and Crivello, F. and Tzourio, C. and Amouyel, P. and Mazoyer, B. and Neale, M. C. and Franz, C. E. and Lyons, M. J. and Panizzon, M. S. and Andreassen, O. A. and Dale, A. M. and Logue, M. and Grasby, K. L. and Jahanshad, N. and Painter, J. N. and Colodro-Conde, L. and Bralten, J. and Hibar, D. P. and Lind, P. A. and Pizzagalli, F. and Stein, J. L. and Thompson, P. M. and Medland, S. E. and Sachdev, P. S. and Kremen, W. S. and Wardlaw, J. M. and Villringer, A. and van Duijn, C. M. and Grabe, H. J. and Longstreth, W. T. and Fornage, M. and Paus, T. and Debette, S. and Arfan Ikram, M. and Schmidt, H. and Schmidt, R. and Seshadri, S. and Grasby, K. L. and Jahanshad, N. and Painter, J. N. and Colodro-Conde, L. and Bralten, J. and Hibar, D. P. and Lind, P. A. and Pizzagalli, F. and Ching, C. R. K. and McMahon, M. A. B. and Shatokhina, N. and Zsembik, L. C. P. and Agartz, I. and Alhusaini, S. and Almeida, M. A. A. and Aln?s, D. and Amlien, I. K. and Andersson, M. and Ard, T. and Armstrong, N. J. and Ashley-Koch, A. and Bernard, M. and Brouwer, R. M. and Buimer, E. E. L. and B?low, R. and B?rger, C. and Cannon, D. M. and Chakravarty, M. and Chen, Q. and Cheung, J. W. and Couvy-Duchesne, B. and Dale, A. M. and Dalvie, S. and de Araujo, T. K. and de Zubicaray, G. I. and de Zwarte, S. M. C. and den Braber, A. and Doan, N. T. and Dohm, K. and Ehrlich, S. and Engelbrecht, H. R. and Erk, S. and Fan, C. C. and Fedko, I. O. and Foley, S. F. and Ford, J. M. and Fukunaga, M. and Garrett, M. E. and Ge, T. and Giddaluru, S. and Goldman, A. L. and Groenewold, N. A. and Grotegerd, D. and Gurholt, T. P. and Gutman, B. A. and Hansell, N. K. and Harris, M. A. and Harrison, M. B. and Haswell, C. C. and Hauser, M. and Herms, S. and Heslenfeld, D. J. and Ho, N. F. and Hoehn, D. and Hoffmann, P. and Holleran, L. and Hoogman, M. and Hottenga, J. J. and Ikeda, M. and Janowitz, D. and Jansen, I. E. and Jia, T. and Jockwitz, C. and Kanai, R. and Karama, S. and Kasperaviciute, D. and Kaufmann, T. and Kelly, S. and Kikuchi, M. and Klein, M. and Knapp, M. and Knodt, A. R. and Kr?mer, B. and Lam, M. and Lancaster, T. M. and Lee, P. H. and Lett, T. A. and Lewis, L. B. and Lopes-Cendes, I. and Luciano, M. and Macciardi, F. and Marquand, A. F. and Mathias, S. R. and Melzer, T. R. and Milaneschi, Y. and Mirza-Schreiber, N. and Moreira, J. C. V. and M?hleisen, T. W. and M?ller-Myhsok, B. and Najt, P. and Nakahara, S. and Nho, K. and Olde Loohuis, L. M. and Orfanos, D. P. and Pearson, J. F. and Pitcher, T. L. and P?tz, B. and Ragothaman, A. and Rashid, F. M. and Redlich, R. and Reinbold, C. S. and Repple, J. and Richard, G. and Riedel, B. C. and Risacher, S. L. and Rocha, C. S. and Mota, N. R. and Salminen, L. and Saremi, A. and Saykin, A. J. and Schlag, F. and Schmaal, L. and Schofield, P. R. and Secolin, R. and Shapland, C. Y. and Shen, L. and Shin, J. and Shumskaya, E. and S?nderby, I. E. and Sprooten, E. and Strike, L. T. and Tansey, K. E. and Teumer, A. and Thalamuthu, A. and Thomopoulos, S. I. and Tordesillas-Guti?rrez, D. and Turner, J. A. and Uhlmann, A. and Vallerga, C. L. and van der Meer, D. and van Donkelaar, M. M. J. and van Eijk, L. and van Erp, T. G. M. and van Haren, N. E. M. and van Rooij, D. and van Tol, M. J. and Veldink, J. H. and Verhoef, E. and Walton, E. and Wang, M. and Wang, Y. and Wardlaw, J. M. and Wen, W. and Westlye, L. T. and Whelan, C. D. and Witt, S. H. and Wittfeld, K. and Wolf, C. and Wolfers, T. and Yasuda, C. L. and Zaremba, D. and Zhang, Z. and Zhu, A. H. and Zwiers, M. P. and Artiges, E. and Assareh, A. A. and Ayesa-Arriola, R. and Belger, A. and Brandt, C. L. and Brown, G. G. and Cichon, S. and Curran, J. E. and Davies, G. E. and Degenhardt, F. and Dietsche, B. and Djurovic, S. and Doherty, C. P. and Espiritu, R. and Garijo, D. and Gil, Y. and Gowland, P. A. and Green, R. C. and H?usler, A. N. and Heindel, W. and Ho, B. C. and Hoffmann, W. U. and Holsboer, F. and Homuth, G. and Hosten, N. and Jack, C. R. and Jang, M. and Jansen, A. and Kolsk?r, K. and Koops, S. and Krug, A. and Lim, K. O. and Luykx, J. J. and Mathalon, D. H. and Mather, K. A. and Mattay, V. S. and Matthews, S. and Son, J. M. V. and McEwen, S. C. and Melle, I. and Morris, D. W. and Mueller, B. A. and Nauck, M. and Nordvik, J. E. and N?then, M. M. and O{\textquoteright}Leary, D. S. and Opel, N. and Martinot, M. -P. and Pike, G. B. and Preda, A. and Quinlan, E. B. and Ratnakar, V. and Reppermund, S. and Steen, V. M. and Torres, F. R. and Veltman, D. J. and Voyvodic, J. T. and Whelan, R. and White, T. and Yamamori, H. and Alvim, M. K. M. and Ames, D. and Anderson, T. J. and Andreassen, O. A. and Arias-Vasquez, A. and Bastin, M. E. and Baune, B. T. and Blangero, J. and Boomsma, D. I. and Brodaty, H. and Brunner, H. G. and Buckner, R. L. and Buitelaar, J. K. and Bustillo, J. R. and Cahn, W. and Calhoun, V. and Caseras, X. and Caspers, S. and Cavalleri, G. L. and Cendes, F. and Corvin, A. and Crespo-Facorro, B. and Dalrymple-Alford, J. C. and Dannlowski, U. and de Geus, E. J. C. and Deary, I. J. and Delanty, N. and Depondt, C. and Desrivi?res, S. and Donohoe, G. and Espeseth, T. and Fern?ndez, G. and Fisher, S. E. and Flor, H. and Forstner, A. J. and Francks, C. and Franke, B. and Glahn, D. C. and Gollub, R. L. and Grabe, H. J. and Gruber, O. and H?berg, A. K. and Hariri, A. R. and Hartman, C. A. and Hashimoto, R. and Heinz, A. and Hillegers, M. H. J. and Hoekstra, P. J. and Holmes, A. J. and Hong, L. E. and Hopkins, W. D. and Hulshoff Pol, H. E. and Jernigan, T. L. and J?nsson, E. G. and Kahn, R. S. and Kennedy, M. A. and Kircher, T. T. J. and Kochunov, P. and Kwok, J. B. J. and Hellard, S. L. and Martin, N. G. and Martinot, J. - and McDonald, C. and McMahon, K. L. and Meyer-Lindenberg, A. and Morey, R. A. and Nyberg, L. and Oosterlaan, J. and Ophoff, R. A. and Paus, T. and Pausova, Z. and Penninx, B. W. J. H. and Polderman, T. J. C. and Posthuma, D. and Rietschel, M. and Roffman, J. L. and Rowland, L. M. and Sachdev, P. S. and S?mann, P. G. and Schumann, G. and Sim, K. and Sisodiya, S. M. and Smoller, J. W. and Sommer, I. E. and Pourcain, B. S. and Stein, D. J. and Toga, A. W. and Trollor, J. N. and Van der Wee, N. J. A. and van {\textquoteright}t Ent, D. and V?lzke, H. and Walter, H. and Weber, B. and Weinberger, D. R. and Wright, M. J. and Zhou, J. and Stein, J. L. and Thompson, P. M. and Medland, S. E.} } @article {8625, title = {Genetic loci associated with prevalent and incident myocardial infarction and coronary heart disease in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.}, journal = {PLoS One}, volume = {15}, year = {2020}, month = {2020}, pages = {e0230035}, abstract = {

BACKGROUND: Genome-wide association studies have identified multiple genomic loci associated with coronary artery disease, but most are common variants in non-coding regions that provide limited information on causal genes and etiology of the disease. To overcome the limited scope that common variants provide, we focused our investigation on low-frequency and rare sequence variations primarily residing in coding regions of the genome.

METHODS AND RESULTS: Using samples of individuals of European ancestry from ten cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, both cross-sectional and prospective analyses were conducted to examine associations between genetic variants and myocardial infarction (MI), coronary heart disease (CHD), and all-cause mortality following these events. For prevalent events, a total of 27,349 participants of European ancestry, including 1831 prevalent MI cases and 2518 prevalent CHD cases were used. For incident cases, a total of 55,736 participants of European ancestry were included (3,031 incident MI cases and 5,425 incident CHD cases). There were 1,860 all-cause deaths among the 3,751 MI and CHD cases from six cohorts that contributed to the analysis of all-cause mortality. Single variant and gene-based analyses were performed separately in each cohort and then meta-analyzed for each outcome. A low-frequency intronic variant (rs988583) in PLCL1 was significantly associated with prevalent MI (OR = 1.80, 95\% confidence interval: 1.43, 2.27; P = 7.12 {\texttimes} 10-7). We conducted gene-based burden tests for genes with a cumulative minor allele count (cMAC) >= 5 and variants with minor allele frequency (MAF) < 5\%. TMPRSS5 and LDLRAD1 were significantly associated with prevalent MI and CHD, respectively, and RC3H2 and ANGPTL4 were significantly associated with incident MI and CHD, respectively. No loci were significantly associated with all-cause mortality following a MI or CHD event.

CONCLUSION: This study identified one known locus (ANGPTL4) and four new loci (PLCL1, RC3H2, TMPRSS5, and LDLRAD1) associated with cardiovascular disease risk that warrant further investigation.

}, keywords = {Aging, Coronary Artery Disease, Cross-Sectional Studies, Europe, European Continental Ancestry Group, Genetic Loci, Genome-Wide Association Study, Humans, Myocardial Infarction, Polymorphism, Single Nucleotide, Prospective Studies}, issn = {1932-6203}, doi = {10.1371/journal.pone.0230035}, author = {Hahn, Julie and Fu, Yi-Ping and Brown, Michael R and Bis, Joshua C and de Vries, Paul S and Feitosa, Mary F and Yanek, Lisa R and Weiss, Stefan and Giulianini, Franco and Smith, Albert Vernon and Guo, Xiuqing and Bartz, Traci M and Becker, Diane M and Becker, Lewis C and Boerwinkle, Eric and Brody, Jennifer A and Chen, Yii-Der Ida and Franco, Oscar H and Grove, Megan and Harris, Tamara B and Hofman, Albert and Hwang, Shih-Jen and Kral, Brian G and Launer, Lenore J and Markus, Marcello R P and Rice, Kenneth M and Rich, Stephen S and Ridker, Paul M and Rivadeneira, Fernando and Rotter, Jerome I and Sotoodehnia, Nona and Taylor, Kent D and Uitterlinden, Andr{\'e} G and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Yao, Jie and Chasman, Daniel I and D{\"o}rr, Marcus and Gudnason, Vilmundur and Mathias, Rasika A and Post, Wendy and Psaty, Bruce M and Dehghan, Abbas and O{\textquoteright}Donnell, Christopher J and Morrison, Alanna C} } @article {8289, title = {{Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {01}, pages = {163}, abstract = {Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.}, author = {Shah, S. and Henry, A. and Roselli, C. and Lin, H. and Sveinbj?rnsson, G. and Fatemifar, G. and Hedman, ?. K. and Wilk, J. B. and Morley, M. P. and Chaffin, M. D. and Helgadottir, A. and Verweij, N. and Dehghan, A. and Almgren, P. and Andersson, C. and Aragam, K. G. and ?rnl?v, J. and Backman, J. D. and Biggs, M. L. and Bloom, H. L. and Brandimarto, J. and Brown, M. R. and Buckbinder, L. and Carey, D. J. and Chasman, D. I. and Chen, X. and Chen, X. and Chung, J. and Chutkow, W. and Cook, J. P. and Delgado, G. E. and Denaxas, S. and Doney, A. S. and D?rr, M. and Dudley, S. C. and Dunn, M. E. and Engstr?m, G. and Esko, T. and Felix, S. B. and Finan, C. and Ford, I. and Ghanbari, M. and Ghasemi, S. and Giedraitis, V. and Giulianini, F. and Gottdiener, J. S. and Gross, S. and Gu?bjartsson, D. F. and Gutmann, R. and Haggerty, C. M. and van der Harst, P. and Hyde, C. L. and Ingelsson, E. and Jukema, J. W. and Kavousi, M. and Khaw, K. T. and Kleber, M. E. and K?ber, L. and Koekemoer, A. and Langenberg, C. and Lind, L. and Lindgren, C. M. and London, B. and Lotta, L. A. and Lovering, R. C. and Luan, J. and Magnusson, P. and Mahajan, A. and Margulies, K. B. and M?rz, W. and Melander, O. and Mordi, I. R. and Morgan, T. and Morris, A. D. and Morris, A. P. and Morrison, A. C. and Nagle, M. W. and Nelson, C. P. and Niessner, A. and Niiranen, T. and O{\textquoteright}Donoghue, M. L. and Owens, A. T. and Palmer, C. N. A. and Parry, H. M. and Perola, M. and Portilla-Fernandez, E. and Psaty, B. M. and Rice, K. M. and Ridker, P. M. and Romaine, S. P. R. and Rotter, J. I. and Salo, P. and Salomaa, V. and van Setten, J. and Shalaby, A. A. and Smelser, D. T. and Smith, N. L. and Stender, S. and Stott, D. J. and Svensson, P. and Tammesoo, M. L. and Taylor, K. D. and Teder-Laving, M. and Teumer, A. and Thorgeirsson, G. and Thorsteinsdottir, U. and Torp-Pedersen, C. and Trompet, S. and Tyl, B. and Uitterlinden, A. G. and Veluchamy, A. and V?lker, U. and Voors, A. A. and Wang, X. and Wareham, N. J. and Waterworth, D. and Weeke, P. E. and Weiss, R. and Wiggins, K. L. and Xing, H. and Yerges-Armstrong, L. M. and Yu, B. and Zannad, F. and Zhao, J. H. and Hemingway, H. and Samani, N. J. and McMurray, J. J. V. and Yang, J. and Visscher, P. M. and Newton-Cheh, C. and Malarstig, A. and Holm, H. and Lubitz, S. A. and Sattar, N. and Holmes, M. V. and Cappola, T. P. and Asselbergs, F. W. and Hingorani, A. D. and Kuchenbaecker, K. and Ellinor, P. T. and Lang, C. C. and Stefansson, K. and Smith, J. G. and Vasan, R. S. and Swerdlow, D. I. and Lumbers, R. T. and Abecasis, G. and Backman, J. and Bai, X. and Balasubramanian, S. and Banerjee, N. and Baras, A. and Barnard, L. and Beechert, C. and Blumenfeld, A. and Cantor, M. and Chai, Y. and Chung, J. and Coppola, G. and Damask, A. and Dewey, F. and Economides, A. and Eom, G. and Forsythe, C. and Fuller, E. D. and Gu, Z. and Gurski, L. and Guzzardo, P. M. and Habegger, L. and Hahn, Y. and Hawes, A. and van Hout, C. and Jones, M. B. and Khalid, S. and Lattari, M. and Li, A. and Lin, N. and Liu, D. and Lopez, A. and Manoochehri, K. and Marchini, J. and Marcketta, A. and Maxwell, E. K. and McCarthy, S. and Mitnaul, L. J. and O{\textquoteright}Dushlaine, C. and Overton, J. D. and Padilla, M. S. and Paulding, C. and Penn, J. and Pradhan, M. and Reid, J. G. and Schleicher, T. D. and Schurmann, C. and Shuldiner, A. and Staples, J. C. and Sun, D. and Toledo, K. and Ulloa, R. H. and Widom, L. and Wolf, S. E. and Yadav, A. and Ye, B.} } @article {8454, title = {{Genome-Wide Association Study Meta-Analysis of Stroke in 22 000 Individuals of African Descent Identifies Novel Associations With Stroke}, journal = {Stroke}, volume = {51}, year = {2020}, month = {Aug}, pages = {2454{\textendash}2463}, abstract = {Stroke is a complex disease with multiple genetic and environmental risk factors. Blacks endure a nearly 2-fold greater risk of stroke and are 2{\~A}{\textemdash} to 3{\~A}{\textemdash} more likely to die from stroke than European Americans.\ The COMPASS (Consortium of Minority Population Genome-Wide Association Studies of Stroke) has conducted a genome-wide association meta-analysis of stroke in >22 000 individuals of African ancestry (3734 cases, 18 317 controls) from 13 cohorts.\ In meta-analyses, we identified one single nucleotide polymorphism (rs55931441) near the HNF1A gene that reached genome-wide significance (P=4.62{\~A}{\textemdash}10-8) and an additional 29 variants with suggestive evidence of association (P<1{\~A}{\textemdash}10-6), representing 24 unique loci. For validation, a look-up analysis for a 100 kb region flanking the COMPASS single nucleotide polymorphism was performed in SiGN (Stroke Genetics Network) Europeans, SiGN Hispanics, and METASTROKE (Europeans). Using a stringent Bonferroni correction P value of 2.08{\~A}{\textemdash}10-3 (0.05/24 unique loci), we were able to validate associations at the HNF1A locus in both SiGN (P=8.18{\~A}{\textemdash}10-4) and METASTROKE (P=1.72{\~A}{\textemdash}10-3) European populations. Overall, 16 of 24 loci showed evidence for validation across multiple populations. Previous studies have reported associations between variants in the HNF1A gene and lipids, C-reactive protein, and risk of coronary artery disease and stroke. Suggestive associations with variants in the SFXN4 and TMEM108 genes represent potential novel ischemic stroke loci.\ These findings represent the most thorough investigation of genetic determinants of stroke in individuals of African descent, to date.}, author = {Keene, K. L. and Hyacinth, H. I. and Bis, J. C. and Kittner, S. J. and Mitchell, B. D. and Cheng, Y. C. and Pare, G. and Chong, M. and O{\textquoteright}Donnell, M. and Meschia, J. F. and Chen, W. M. and Sale, M. M. and Rich, S. S. and Nalls, M. A. and Zonderman, A. B. and Evans, M. K. and Wilson, J. G. and Correa, A. and Markus, H. S. and Traylor, M. and Lewis, C. M. and Carty, C. L. and Reiner, A. and Haessler, J. and Langefeld, C. D. and Gottesman, R. and Mosley, T. H. and Woo, D. and Yaffe, K. and Liu, Y. and Longstreth, W. T. and Psaty, B. M. and Kooperberg, C. and Lange, L. A. and Sacco, R. and Rundek, T. and Lee, J. M. and Cruchaga, C. and Furie, K. L. and Arnett, D. K. and Benavente, O. R. and Grewal, R. P. and Peddareddygari, L. R. and Dichgans, M. and Malik, R. and Worrall, B. B. and Fornage, M.} } @article {8405, title = {Incorporating sampling weights into robust estimation of Cox proportional hazards regression model, with illustration in the Multi-Ethnic Study of Atherosclerosis.}, journal = {BMC Med Res Methodol}, volume = {20}, year = {2020}, month = {2020 03 14}, pages = {62}, abstract = {

BACKGROUND: Cox proportional hazards regression models are used to evaluate associations between exposures of interest and time-to-event outcomes in observational data. When exposures are measured on only a sample of participants, as they are in a case-cohort design, the sampling weights must be incorporated into the regression model to obtain unbiased estimating equations.

METHODS: Robust Cox methods have been developed to better estimate associations when there are influential outliers in the exposure of interest, but these robust methods do not incorporate sampling weights. In this paper, we extend these robust methods, which already incorporate influence weights, so that they also accommodate sampling weights.

RESULTS: Simulations illustrate that in the presence of influential outliers, the association estimate from the weighted robust method is closer to the true value than the estimate from traditional weighted Cox regression. As expected, in the absence of outliers, the use of robust methods yields a small loss of efficiency. Using data from a case-cohort study that is nested within the Multi-Ethnic Study of Atherosclerosis (MESA) longitudinal cohort study, we illustrate differences between traditional and robust weighted Cox association estimates for the relationships between immune cell traits and risk of stroke.

CONCLUSIONS: Robust weighted Cox regression methods are a new tool to analyze time-to-event data with sampling, e.g. case-cohort data, when exposures of interest contain outliers.

}, issn = {1471-2288}, doi = {10.1186/s12874-020-00945-9}, author = {Sitlani, Colleen M and Lumley, Thomas and McKnight, Barbara and Rice, Kenneth M and Olson, Nels C and Doyle, Margaret F and Huber, Sally A and Tracy, Russell P and Psaty, Bruce M and C Delaney, Joseph A} } @article {8403, title = {Innate and adaptive immune cell subsets as risk factors for coronary heart disease in two population-based cohorts.}, journal = {Atherosclerosis}, volume = {300}, year = {2020}, month = {2020 05}, pages = {47-53}, abstract = {

BACKGROUND AND AIMS: Cell-mediated immunity is implicated in atherosclerosis. We evaluated whether innate and adaptive immune cell subsets in peripheral blood are risk factors for coronary heart disease.

METHODS: A nested case-cohort study (n~=~2155) was performed within the Multi-Ethnic Study of Atherosclerosis (MESA) and the Cardiovascular Health Study (CHS). Cases of incident myocardial infarction (MI) and incident angina (n~=~880 total cases) were compared with a cohort random sample (n~=~1275). Immune cell phenotypes (n~=~34, including CD14 monocytes, natural killer cells, γδ T cells, CD4, CD8 and CD19 lymphocyte subsets) were measured from cryopreserved cells by flow cytometry. Cox proportional hazards models with adjustment for cardiovascular disease risk factors were used to evaluate associations of cell phenotypes with incident MI and a composite phenotype of incident MI or incident angina (MI-angina) over a median 9.3 years of follow-up. Th1, Th2, Th17, T regulatory (CD4CD25CD127), naive (CD4CD45RA), memory (CD4CD45RO), and CD4CD28 cells were specified as primary hypotheses. In secondary analyses, 27 additional cell phenotypes were investigated.

RESULTS: After correction for multiple testing, there were no statistically significant associations of CD4 naive, memory, CD28, or T helper cell subsets with MI or MI-angina in MESA, CHS, or combined-cohort meta analyses. Null associations were also observed for monocyte subsets, natural killer cells, γδ T cells, CD19 B cell and differentiated CD4 and CD8 cell subsets.

CONCLUSIONS: The proportions of peripheral blood monocyte and lymphocyte subsets are not strongly related to the future occurrence of MI or angina in adults free of autoimmune disease.

}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2020.03.011}, author = {Olson, Nels C and Sitlani, Colleen M and Doyle, Margaret F and Huber, Sally A and Landay, Alan L and Tracy, Russell P and Psaty, Bruce M and Delaney, Joseph A} } @article {8395, title = {Level and change in N-terminal pro B-type Natriuretic Peptide and kidney function and survival to age 90.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2020}, month = {2020 May 17}, abstract = {

BACKGROUND: Many traditional cardiovascular risk factors do not predict survival to very old age. Studies have shown associations of estimated glomerular filtration rate (eGFR) and N-terminal pro-B-type natriuretic peptide (NT-pro-BNP) with cardiovascular disease and mortality in older populations. This study aimed to evaluate the associations of the level and change in eGFR and NT-pro-BNP with longevity to age 90 years.

METHODS: The population included participants (n=3,645) in the Cardiovascular Health Study, aged between 67-75 at baseline. The main exposures were eGFR, calculated with the Berlin Initiative Study equation (BIS2), and NT-pro-BNP, and the main outcome was survival to age 90. Mixed models were used to estimate level and change of the main exposures.

RESULTS: There was an association between baseline level and change of both eGFR and NT-pro-BNP and survival to 90, and this association persisted after adjustment for covariates. Each 10 ml/min per 1.73 m2 higher eGFR level was associated with an adjusted odds ratio (OR) of 1.23 (95\% CI: 1.13, 1.34) of survival to 90, and a 0.5 ml/min/ 1.73 m2 slower decline in eGFR was associated with an OR of 1.51 (95\% CI: 1.31, 1.74). A 2-fold higher level of NT-pro-BNP level had an adjusted OR of 0.67 (95\% CI: 0.61, 0.73), and a 1.05-fold increase per year in NT-pro-BNP had an OR of 0.53 (95\% CI: 0.43, 0.65) for survival to age 90.

CONCLUSION: eGFR and NT-pro-BNP appear to be important risk factors for longevity to age 90.

}, issn = {1758-535X}, doi = {10.1093/gerona/glaa124}, author = {H{\"a}berle, Astrid D and Biggs, Mary L and Cushman, Mary and Psaty, Bruce M and Newman, Anne B and Shlipak, Michael G and Gottdiener, John and Wu, Chenkai and Gardin, Julius M and Bansal, Nisha and Odden, Michelle C} } @article {8402, title = {Lung function decline in former smokers and low-intensity current smokers: a secondary data analysis of the NHLBI Pooled Cohorts Study.}, journal = {Lancet Respir Med}, volume = {8}, year = {2020}, month = {2020 01}, pages = {34-44}, abstract = {

BACKGROUND: Former smokers now outnumber current smokers in many developed countries, and current smokers are smoking fewer cigarettes per day. Some data suggest that lung function decline normalises with smoking cessation; however, mechanistic studies suggest that lung function decline could continue. We hypothesised that former smokers and low-intensity current smokers have accelerated lung function decline compared with never-smokers, including among those without prevalent lung disease.

METHODS: We used data on six US population-based cohorts included in the NHLBI Pooled Cohort Study. We restricted the sample to participants with valid spirometry at two or more exams. Two cohorts recruited younger adults (>=17 years), two recruited middle-aged and older adults (>=45 years), and two recruited only elderly adults (>=65 years) with examinations done between 1983 and 2014. FEV decline in sustained former smokers and current smokers was compared to that of never-smokers by use of mixed models adjusted for sociodemographic and anthropometric factors. Differential FEV decline was also evaluated according to duration of smoking cessation and cumulative (number of pack-years) and current (number of cigarettes per day) cigarette consumption.

FINDINGS: 25 352 participants (ages 17-93 years) completed 70 228 valid spirometry exams. Over a median follow-up of 7 years (IQR 3-20), FEV decline at the median age (57 years) was 31{\textperiodcentered}01 mL per year (95\% CI 30{\textperiodcentered}66-31{\textperiodcentered}37) in sustained never-smokers, 34{\textperiodcentered}97 mL per year (34{\textperiodcentered}36-35{\textperiodcentered}57) in former smokers, and 39{\textperiodcentered}92 mL per year (38{\textperiodcentered}92-40{\textperiodcentered}92) in current smokers. With adjustment, former smokers showed an accelerated FEV decline of 1{\textperiodcentered}82 mL per year (95\% CI 1{\textperiodcentered}24-2{\textperiodcentered}40) compared to never-smokers, which was approximately 20\% of the effect estimate for current smokers (9{\textperiodcentered}21 mL per year; 95\% CI 8{\textperiodcentered}35-10{\textperiodcentered}08). Compared to never-smokers, accelerated FEV decline was observed in former smokers for decades after smoking cessation and in current smokers with low cumulative cigarette consumption (<10 pack-years). With respect to current cigarette consumption, the effect estimate for FEV decline in current smokers consuming less than five cigarettes per day (7{\textperiodcentered}65 mL per year; 95\% CI 6{\textperiodcentered}21-9{\textperiodcentered}09) was 68\% of that in current smokers consuming 30 or more cigarettes per day (11{\textperiodcentered}24 mL per year; 9{\textperiodcentered}86-12{\textperiodcentered}62), and around five times greater than in former smokers (1{\textperiodcentered}57 mL per year; 1{\textperiodcentered}00-2{\textperiodcentered}14). Among participants without prevalent lung disease, associations were attenuated but were consistent with the main results.

INTERPRETATION: Former smokers and low-intensity current smokers have accelerated lung function decline compared with never-smokers. These results suggest that all levels of smoking exposure are likely to be associated with lasting and progressive lung damage.

FUNDING: National Institutes of Health, National Heart Lung and Blood Institute, and US Environmental Protection Agency.

}, keywords = {Adult, Aged, Case-Control Studies, Ex-Smokers, Female, Follow-Up Studies, Humans, Lung, Male, Middle Aged, National Heart, Lung, and Blood Institute (U.S.), Non-Smokers, Respiratory Physiological Phenomena, Smokers, Smoking, Spirometry, United States, Young Adult}, issn = {2213-2619}, doi = {10.1016/S2213-2600(19)30276-0}, author = {Oelsner, Elizabeth C and Balte, Pallavi P and Bhatt, Surya P and Cassano, Patricia A and Couper, David and Folsom, Aaron R and Freedman, Neal D and Jacobs, David R and Kalhan, Ravi and Mathew, Amanda R and Kronmal, Richard A and Loehr, Laura R and London, Stephanie J and Newman, Anne B and O{\textquoteright}Connor, George T and Schwartz, Joseph E and Smith, Lewis J and White, Wendy B and Yende, Sachin} } @article {8410, title = {Mendelian randomization analysis does not support causal associations of birth weight with hypertension risk and blood pressure in adulthood.}, journal = {Eur J Epidemiol}, volume = {35}, year = {2020}, month = {2020 Jul}, pages = {685-697}, abstract = {

Epidemiology studies suggested that low birthweight was associated with a higher risk of hypertension in later life. However, little is known about the causality of such associations. In our study, we evaluated the causal association of low birthweight with adulthood hypertension following a standard analytic protocol using the study-level data of 183,433 participants from 60 studies (CHARGE-BIG consortium), as well as that with blood pressure using publicly available summary-level genome-wide association data from EGG consortium of 153,781 participants, ICBP consortium and UK Biobank cohort together of 757,601 participants. We used seven SNPs as the instrumental variable in the study-level analysis and 47 SNPs in the summary-level analysis. In the study-level analyses, decreased birthweight was associated with a higher risk of hypertension in adults (the odds ratio per 1 standard deviation (SD) lower birthweight, 1.22; 95\% CI 1.16 to 1.28), while no association was found between genetically instrumented birthweight and hypertension risk (instrumental odds ratio for causal effect per 1 SD lower birthweight, 0.97; 95\% CI 0.68 to 1.41). Such results were consistent with that from the summary-level analyses, where the genetically determined low birthweight was not associated with blood pressure measurements either. One SD lower genetically determined birthweight was not associated with systolic blood pressure (β = - 0.76, 95\% CI - 2.45 to 1.08~mmHg), 0.06~mmHg lower diastolic blood pressure (β = - 0.06, 95\% CI - 0.93 to 0.87~mmHg), or pulse pressure (β = - 0.65, 95\% CI - 1.38 to 0.69~mmHg, all p > 0.05). Our findings suggest that the inverse association of birthweight with hypertension risk from observational studies was not supported by large Mendelian randomization analyses.

}, issn = {1573-7284}, doi = {10.1007/s10654-020-00638-z}, author = {Zheng, Yan and Huang, Tao and Wang, Tiange and Mei, Zhendong and Sun, Zhonghan and Zhang, Tao and Ellervik, Christina and Chai, Jin-Fang and Sim, Xueling and van Dam, Rob M and Tai, E-Shyong and Koh, Woon-Puay and Dorajoo, Rajkumar and Saw, Seang-Mei and Sabanayagam, Charumathi and Wong, Tien Yin and Gupta, Preeti and Rossing, Peter and Ahluwalia, Tarunveer S and Vinding, Rebecca K and Bisgaard, Hans and B{\o}nnelykke, Klaus and Wang, Yujie and Graff, Mariaelisa and Voortman, Trudy and van Rooij, Frank J A and Hofman, Albert and van Heemst, Diana and Noordam, Raymond and Estampador, Angela C and Varga, Tibor V and Enzenbach, Cornelia and Scholz, Markus and Thiery, Joachim and Burkhardt, Ralph and Orho-Melander, Marju and Schulz, Christina-Alexandra and Ericson, Ulrika and Sonestedt, Emily and Kubo, Michiaki and Akiyama, Masato and Zhou, Ang and Kilpel{\"a}inen, Tuomas O and Hansen, Torben and Kleber, Marcus E and Delgado, Graciela and McCarthy, Mark and Lemaitre, Rozenn N and Felix, Janine F and Jaddoe, Vincent W V and Wu, Ying and Mohlke, Karen L and Lehtim{\"a}ki, Terho and Wang, Carol A and Pennell, Craig E and Schunkert, Heribert and Kessler, Thorsten and Zeng, Lingyao and Willenborg, Christina and Peters, Annette and Lieb, Wolfgang and Grote, Veit and Rzehak, Peter and Koletzko, Berthold and Erdmann, Jeanette and Munz, Matthias and Wu, Tangchun and He, Meian and Yu, Caizheng and Lecoeur, C{\'e}cile and Froguel, Philippe and Corella, Dolores and Moreno, Luis A and Lai, Chao-Qiang and Pitk{\"a}nen, Niina and Boreham, Colin A and Ridker, Paul M and Rosendaal, Frits R and de Mutsert, Ren{\'e}e and Power, Chris and Paternoster, Lavinia and S{\o}rensen, Thorkild I A and Tj{\o}nneland, Anne and Overvad, Kim and Djouss{\'e}, Luc and Rivadeneira, Fernando and Lee, Nanette R and Raitakari, Olli T and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Langhendries, Jean-Paul and Escribano, Joaquin and Verduci, Elvira and Dedoussis, George and K{\"o}nig, Inke and Balkau, Beverley and Coltell, Oscar and Dallongeville, Jean and Meirhaeghe, Aline and Amouyel, Philippe and Gottrand, Fr{\'e}d{\'e}ric and Pahkala, Katja and Niinikoski, Harri and Hypp{\"o}nen, Elina and M{\"a}rz, Winfried and Mackey, David A and Gruszfeld, Dariusz and Tucker, Katherine L and Fumeron, Fr{\'e}d{\'e}ric and Estruch, Ramon and Ordovas, Jose M and Arnett, Donna K and Mook-Kanamori, Dennis O and Mozaffarian, Dariush and Psaty, Bruce M and North, Kari E and Chasman, Daniel I and Qi, Lu} } @article {8624, title = {Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline.}, journal = {Kidney Int}, year = {2020}, month = {2020 Oct 30}, abstract = {

Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25\% or more and eGFRcrea under 60 mL/min/1.73m at follow-up among those with eGFRcrea 60 mL/min/1.73m or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or LARP4B. Individuals at high compared to those at low genetic risk (8-14 vs 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95\% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function.

}, issn = {1523-1755}, doi = {10.1016/j.kint.2020.09.030}, author = {Gorski, Mathias and Jung, Bettina and Li, Yong and Matias-Garcia, Pamela R and Wuttke, Matthias and Coassin, Stefan and Thio, Chris H L and Kleber, Marcus E and Winkler, Thomas W and Wanner, Veronika and Chai, Jin-Fang and Chu, Audrey Y and Cocca, Massimiliano and Feitosa, Mary F and Ghasemi, Sahar and Hoppmann, Anselm and Horn, Katrin and Li, Man and Nutile, Teresa and Scholz, Markus and Sieber, Karsten B and Teumer, Alexander and Tin, Adrienne and Wang, Judy and Tayo, Bamidele O and Ahluwalia, Tarunveer S and Almgren, Peter and Bakker, Stephan J L and Banas, Bernhard and Bansal, Nisha and Biggs, Mary L and Boerwinkle, Eric and Bottinger, Erwin P and Brenner, Hermann and Carroll, Robert J and Chalmers, John and Chee, Miao-Li and Chee, Miao-Ling and Cheng, Ching-Yu and Coresh, Josef and de Borst, Martin H and Degenhardt, Frauke and Eckardt, Kai-Uwe and Endlich, Karlhans and Franke, Andre and Freitag-Wolf, Sandra and Gampawar, Piyush and Gansevoort, Ron T and Ghanbari, Mohsen and Gieger, Christian and Hamet, Pavel and Ho, Kevin and Hofer, Edith and Holleczek, Bernd and Xian Foo, Valencia Hui and Hutri-K{\"a}h{\"o}nen, Nina and Hwang, Shih-Jen and Ikram, M Arfan and Josyula, Navya Shilpa and K{\"a}h{\"o}nen, Mika and Khor, Chiea-Chuen and Koenig, Wolfgang and Kramer, Holly and Kr{\"a}mer, Bernhard K and Kuhnel, Brigitte and Lange, Leslie A and Lehtim{\"a}ki, Terho and Lieb, Wolfgang and Loos, Ruth J F and Lukas, Mary Ann and Lyytik{\"a}inen, Leo-Pekka and Meisinger, Christa and Meitinger, Thomas and Melander, Olle and Milaneschi, Yuri and Mishra, Pashupati P and Mononen, Nina and Mychaleckyj, Josyf C and Nadkarni, Girish N and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M and O{\textquoteright}Donoghue, Michelle L and Orho-Melander, Marju and Pendergrass, Sarah A and Penninx, Brenda W J H and Preuss, Michael H and Psaty, Bruce M and Raffield, Laura M and Raitakari, Olli T and Rettig, Rainer and Rheinberger, Myriam and Rice, Kenneth M and Rosenkranz, Alexander R and Rossing, Peter and Rotter, Jerome I and Sabanayagam, Charumathi and Schmidt, Helena and Schmidt, Reinhold and Sch{\"o}ttker, Ben and Schulz, Christina-Alexandra and Sedaghat, Sanaz and Shaffer, Christian M and Strauch, Konstantin and Szymczak, Silke and Taylor, Kent D and Tremblay, Johanne and Chaker, Layal and van der Harst, Pim and van der Most, Peter J and Verweij, Niek and V{\"o}lker, Uwe and Waldenberger, Melanie and Wallentin, Lars and Waterworth, Dawn M and White, Harvey D and Wilson, James G and Wong, Tien-Yin and Woodward, Mark and Yang, Qiong and Yasuda, Masayuki and Yerges-Armstrong, Laura M and Zhang, Yan and Snieder, Harold and Wanner, Christoph and B{\"o}ger, Carsten A and K{\"o}ttgen, Anna and Kronenberg, Florian and Pattaro, Cristian and Heid, Iris M} } @article {8494, title = {{Mitochondrial DNA copy number and incident atrial fibrillation}, journal = {BMC Med}, volume = {18}, year = {2020}, month = {Sep}, pages = {246}, abstract = {Mechanistic studies suggest that mitochondria DNA (mtDNA) dysfunction may be associated with increased risk of atrial fibrillation (AF). The association between mtDNA copy number (mtDNA-CN) and incident AF in the general population, however, remains unknown.\ We conducted prospective analyses of 19,709 participants from the Atherosclerosis Risk in Communities Study (ARIC), the Multi-Ethnic Study of Atherosclerosis (MESA), and the Cardiovascular Health Study (CHS). mtDNA-CN from the peripheral blood was calculated from probe intensities on the Affymetrix Genome-Wide Human single nucleotide polymorphisms (SNP) Array 6.0 in ARIC and MESA and from multiplexed real-time quantitative polymerase chain reaction (qPCR) in CHS. Incident AF cases were identified through electrocardiograms, review of hospital discharge codes, Medicare claims, and death certificates.\ The median follow-up time was 21.4 years in ARIC, 12.9 years in MESA, and 11.0 years in CHS, during which 4021 participants developed incident atrial fibrillation (1761 in ARIC, 790 in MESA, and 1470 in CHS). In fully adjusted models, participants with the lowest quintile of mitochondria DNA copy number had an overall 13\% increased risk (95\% CI 1 to 27\%) of incident atrial fibrillation compared to those with the highest quintile. Dose-response spline analysis also showed an inverse association between mitochondria DNA copy number and hazard for atrial fibrillation for all three cohorts. These associations were consistent across subgroups.\ Mitochondria DNA copy number was inversely associated with the risk of AF independent of traditional cardiovascular risk factors. These findings implicate mitochondria DNA copy number as a novel risk factor for atrial fibrillation. Further research is warranted to understand the underlying mechanisms and to evaluate the role of mitochondria DNA copy number in the management of atrial fibrillation risk.}, author = {Zhao, D. and Bartz, T. M. and Sotoodehnia, N. and Post, W. S. and Heckbert, S. R. and Alonso, A. and Longchamps, R. J. and Castellani, C. A. and Hong, Y. S. and Rotter, J. I. and Lin, H. J. and O{\textquoteright}Rourke, B. and Pankratz, N. and Lane, J. A. and Yang, S. Y. and Guallar, E. and Arking, D. E.} } @article {8480, title = {Mitochondrial DNA copy number can influence mortality and cardiovascular disease via methylation of nuclear DNA CpGs.}, journal = {Genome Med}, volume = {12}, year = {2020}, month = {2020 Sep 28}, pages = {84}, abstract = {

BACKGROUND: Mitochondrial DNA copy number (mtDNA-CN) has been associated with a variety of aging-related diseases, including all-cause mortality. However, the mechanism by which mtDNA-CN influences disease is not currently understood. One such mechanism may be through regulation of nuclear gene expression via the modification of nuclear DNA (nDNA) methylation.

METHODS: To investigate this hypothesis, we assessed the relationship between mtDNA-CN and nDNA methylation in 2507 African American (AA) and European American (EA) participants from the Atherosclerosis Risk in Communities (ARIC) study. To validate our findings, we assayed an additional 2528 participants from the Cardiovascular Health Study (CHS) (N = 533) and Framingham Heart Study (FHS) (N = 1995). We further assessed the effect of experimental modification of mtDNA-CN through knockout of TFAM, a regulator of mtDNA replication, via CRISPR-Cas9.

RESULTS: Thirty-four independent CpGs were associated with mtDNA-CN at genome-wide significance (P < 5 {\texttimes} 10). Meta-analysis across all cohorts identified six mtDNA-CN-associated CpGs at genome-wide significance (P < 5 {\texttimes} 10). Additionally, over half of these CpGs were associated with phenotypes known to be associated with mtDNA-CN, including coronary heart disease, cardiovascular disease, and mortality. Experimental modification of mtDNA-CN demonstrated that modulation of mtDNA-CN results in changes in nDNA methylation and gene expression of specific CpGs and nearby transcripts. Strikingly, the "neuroactive ligand receptor interaction" KEGG pathway was found to be highly overrepresented in the ARIC cohort (P = 5.24 {\texttimes} 10), as well as the TFAM knockout methylation (P =~4.41 {\texttimes} 10) and expression (P =~4.30 {\texttimes} 10) studies.

CONCLUSIONS: These results demonstrate that changes in mtDNA-CN influence nDNA methylation at specific loci and result in differential expression of specific genes that may impact human health and disease via altered cell signaling.

}, issn = {1756-994X}, doi = {10.1186/s13073-020-00778-7}, author = {Castellani, Christina A and Longchamps, Ryan J and Sumpter, Jason A and Newcomb, Charles E and Lane, John A and Grove, Megan L and Bressler, Jan and Brody, Jennifer A and Floyd, James S and Bartz, Traci M and Taylor, Kent D and Wang, Penglong and Tin, Adrienne and Coresh, Josef and Pankow, James S and Fornage, Myriam and Guallar, Eliseo and O{\textquoteright}Rourke, Brian and Pankratz, Nathan and Liu, Chunyu and Levy, Daniel and Sotoodehnia, Nona and Boerwinkle, Eric and Arking, Dan E} } @article {8368, title = {Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction.}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {2020 May 21}, pages = {2542}, abstract = {

The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5\% to 62.6\%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.

}, issn = {2041-1723}, doi = {10.1038/s41467-020-15706-x}, author = {Ntalla, Ioanna and Weng, Lu-Chen and Cartwright, James H and Hall, Amelia Weber and Sveinbjornsson, Gardar and Tucker, Nathan R and Choi, Seung Hoan and Chaffin, Mark D and Roselli, Carolina and Barnes, Michael R and Mifsud, Borbala and Warren, Helen R and Hayward, Caroline and Marten, Jonathan and Cranley, James J and Concas, Maria Pina and Gasparini, Paolo and Boutin, Thibaud and Kolcic, Ivana and Polasek, Ozren and Rudan, Igor and Araujo, Nathalia M and Lima-Costa, Maria Fernanda and Ribeiro, Antonio Luiz P and Souza, Renan P and Tarazona-Santos, Eduardo and Giedraitis, Vilmantas and Ingelsson, Erik and Mahajan, Anubha and Morris, Andrew P and del Greco M, Fabiola and Foco, Luisa and G{\"o}gele, Martin and Hicks, Andrew A and Cook, James P and Lind, Lars and Lindgren, Cecilia M and Sundstr{\"o}m, Johan and Nelson, Christopher P and Riaz, Muhammad B and Samani, Nilesh J and Sinagra, Gianfranco and Ulivi, Sheila and K{\"a}h{\"o}nen, Mika and Mishra, Pashupati P and Mononen, Nina and Nikus, Kjell and Caulfield, Mark J and Dominiczak, Anna and Padmanabhan, Sandosh and Montasser, May E and O{\textquoteright}Connell, Jeff R and Ryan, Kathleen and Shuldiner, Alan R and Aeschbacher, Stefanie and Conen, David and Risch, Lorenz and Th{\'e}riault, S{\'e}bastien and Hutri-K{\"a}h{\"o}nen, Nina and Lehtim{\"a}ki, Terho and Lyytik{\"a}inen, Leo-Pekka and Raitakari, Olli T and Barnes, Catriona L K and Campbell, Harry and Joshi, Peter K and Wilson, James F and Isaacs, Aaron and Kors, Jan A and van Duijn, Cornelia M and Huang, Paul L and Gudnason, Vilmundur and Harris, Tamara B and Launer, Lenore J and Smith, Albert V and Bottinger, Erwin P and Loos, Ruth J F and Nadkarni, Girish N and Preuss, Michael H and Correa, Adolfo and Mei, Hao and Wilson, James and Meitinger, Thomas and M{\"u}ller-Nurasyid, Martina and Peters, Annette and Waldenberger, Melanie and Mangino, Massimo and Spector, Timothy D and Rienstra, Michiel and van de Vegte, Yordi J and van der Harst, Pim and Verweij, Niek and K{\"a}{\"a}b, Stefan and Schramm, Katharina and Sinner, Moritz F and Strauch, Konstantin and Cutler, Michael J and Fatkin, Diane and London, Barry and Olesen, Morten and Roden, Dan M and Benjamin Shoemaker, M and Gustav Smith, J and Biggs, Mary L and Bis, Joshua C and Brody, Jennifer A and Psaty, Bruce M and Rice, Kenneth and Sotoodehnia, Nona and De Grandi, Alessandro and Fuchsberger, Christian and Pattaro, Cristian and Pramstaller, Peter P and Ford, Ian and Wouter Jukema, J and Macfarlane, Peter W and Trompet, Stella and D{\"o}rr, Marcus and Felix, Stephan B and V{\"o}lker, Uwe and Weiss, Stefan and Havulinna, Aki S and Jula, Antti and S{\"a}{\"a}ksj{\"a}rvi, Katri and Salomaa, Veikko and Guo, Xiuqing and Heckbert, Susan R and Lin, Henry J and Rotter, Jerome I and Taylor, Kent D and Yao, Jie and de Mutsert, Ren{\'e}e and Maan, Arie C and Mook-Kanamori, Dennis O and Noordam, Raymond and Cucca, Francesco and Ding, Jun and Lakatta, Edward G and Qian, Yong and Tarasov, Kirill V and Levy, Daniel and Lin, Honghuang and Newton-Cheh, Christopher H and Lunetta, Kathryn L and Murray, Alison D and Porteous, David J and Smith, Blair H and Stricker, Bruno H and Uitterlinden, Andre and van den Berg, Marten E and Haessler, Jeffrey and Jackson, Rebecca D and Kooperberg, Charles and Peters, Ulrike and Reiner, Alexander P and Whitsel, Eric A and Alonso, Alvaro and Arking, Dan E and Boerwinkle, Eric and Ehret, Georg B and Soliman, Elsayed Z and Avery, Christy L and Gogarten, Stephanie M and Kerr, Kathleen F and Laurie, Cathy C and Seyerle, Amanda A and Stilp, Adrienne and Assa, Solmaz and Abdullah Said, M and Yldau van der Ende, M and Lambiase, Pier D and Orini, Michele and Ramirez, Julia and Van Duijvenboden, Stefan and Arnar, David O and Gudbjartsson, Daniel F and Holm, Hilma and Sulem, Patrick and Thorleifsson, Gudmar and Thorolfsdottir, Rosa B and Thorsteinsdottir, Unnur and Benjamin, Emelia J and Tinker, Andrew and Stefansson, Kari and Ellinor, Patrick T and Jamshidi, Yalda and Lubitz, Steven A and Munroe, Patricia B} } @article {8401, title = {Patterns of Cardiovascular Risk Factors in Old Age and Survival and Health Status at 90.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2020}, month = {2020 Apr 08}, abstract = {

BACKGROUND: The population age 90 years and older is the fastest growing segment of the U.S. population. Only recently is it possible to study the factors that portend survival to this age.

METHODS: Among participants of the Cardiovascular Health Study, we studied the association of repeated measures of cardiovascular risk factors measured over 15-23 years of follow-up and not only survival to 90 years of age, but also healthy aging outcomes among the population who reached age 90. We included participants aged 67-75 years at baseline (n = 3,613/5,888) to control for birth cohort effects, and followed participants until death or age 90 (median follow-up = 14.7 years).

RESULTS: Higher systolic blood pressure was associated with a lower likelihood of survival to age 90, although this association was attenuated at older ages (p-value for interaction <.001) and crossed the null for measurements taken in participants{\textquoteright} 80{\textquoteright}s. Higher levels of high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, and body mass index (BMI) were associated with greater longevity. Among the survivors to age 90, those with worse cardiovascular profile (high blood pressure, LDL cholesterol, glucose, and BMI; low HDL cholesterol) had lower likelihood of remaining free of cardiovascular disease, cognitive impairment, and disability.

CONCLUSION: In summary, we observed paradoxical associations between some cardiovascular risk factors and survival to old age; whereas, among those who survive to very old age, these risk factors were associated with higher risk of adverse health outcomes.

}, issn = {1758-535X}, doi = {10.1093/gerona/glaa043}, author = {Odden, Michelle C and Rawlings, Andreea M and Arnold, Alice M and Cushman, Mary and Biggs, Mary L and Psaty, Bruce M and Newman, Anne B} } @article {8490, title = {The Polygenic and Monogenic Basis of Blood Traits and Diseases.}, journal = {Cell}, volume = {182}, year = {2020}, month = {2020 Sep 03}, pages = {1214-1231.e11}, abstract = {

Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2020.08.008}, author = {Vuckovic, Dragana and Bao, Erik L and Akbari, Parsa and Lareau, Caleb A and Mousas, Abdou and Jiang, Tao and Chen, Ming-Huei and Raffield, Laura M and Tardaguila, Manuel and Huffman, Jennifer E and Ritchie, Scott C and Megy, Karyn and Ponstingl, Hannes and Penkett, Christopher J and Albers, Patrick K and Wigdor, Emilie M and Sakaue, Saori and Moscati, Arden and Manansala, Regina and Lo, Ken Sin and Qian, Huijun and Akiyama, Masato and Bartz, Traci M and Ben-Shlomo, Yoav and Beswick, Andrew and Bork-Jensen, Jette and Bottinger, Erwin P and Brody, Jennifer A and van Rooij, Frank J A and Chitrala, Kumaraswamy N and Wilson, Peter W F and Choquet, Helene and Danesh, John and Di Angelantonio, Emanuele and Dimou, Niki and Ding, Jingzhong and Elliott, Paul and Esko, T{\~o}nu and Evans, Michele K and Felix, Stephan B and Floyd, James S and Broer, Linda and Grarup, Niels and Guo, Michael H and Guo, Qi and Greinacher, Andreas and Haessler, Jeff and Hansen, Torben and Howson, Joanna M M and Huang, Wei and Jorgenson, Eric and Kacprowski, Tim and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kanai, Masahiro and Karthikeyan, Savita and Koskeridis, Fotios and Lange, Leslie A and Lehtim{\"a}ki, Terho and Linneberg, Allan and Liu, Yongmei and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Matsuda, Koichi and Mohlke, Karen L and Mononen, Nina and Murakami, Yoshinori and Nadkarni, Girish N and Nikus, Kjell and Pankratz, Nathan and Pedersen, Oluf and Preuss, Michael and Psaty, Bruce M and Raitakari, Olli T and Rich, Stephen S and Rodriguez, Benjamin A T and Rosen, Jonathan D and Rotter, Jerome I and Schubert, Petra and Spracklen, Cassandra N and Surendran, Praveen and Tang, Hua and Tardif, Jean-Claude and Ghanbari, Mohsen and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Nicholas A and Weiss, Stefan and Cai, Na and Kundu, Kousik and Watt, Stephen B and Walter, Klaudia and Zonderman, Alan B and Cho, Kelly and Li, Yun and Loos, Ruth J F and Knight, Julian C and Georges, Michel and Stegle, Oliver and Evangelou, Evangelos and Okada, Yukinori and Roberts, David J and Inouye, Michael and Johnson, Andrew D and Auer, Paul L and Astle, William J and Reiner, Alexander P and Butterworth, Adam S and Ouwehand, Willem H and Lettre, Guillaume and Sankaran, Vijay G and Soranzo, Nicole} } @article {8485, title = {Predicting Risk of Atherosclerotic Cardiovascular Disease Using Pooled Cohort Equations in Older Adults With Frailty, Multimorbidity, and Competing Risks.}, journal = {J Am Heart Assoc}, volume = {9}, year = {2020}, month = {2020 Sep 15}, pages = {e016003}, abstract = {

Background Assessment of atherosclerotic cardiovascular disease (ASCVD) risk is crucial for prevention and management, but the performance of the pooled cohort equations in older adults with frailty and multimorbidity is unknown. We evaluated the pooled cohort equations in these subgroups and the impact of competing risks. Methods and Results In 4249 community-dwelling adults, aged >=65~years, from the CHS (Cardiovascular Health Study), we calculated 10-year risk of hard ASCVD. Frailty was determined using the Fried phenotype. Latent class analysis was used to identify individuals with multimorbidity patterns using chronic conditions. We assessed discrimination using the C-statistic and calibration by comparing predicted ASCVD risks with estimated risk using cause-specific and cumulative incidence models, by multimorbidity patterns and frailty status. A total of 917 (21.6\%) participants had an ASCVD event, and 706 (16.6\%) had a competing event of death. C-statistic was 0.68 in men and 0.69 in women; calibration was good when compared with cause-specific and cumulative incidence estimated risks (males, -0.1\% and 3.3\%; females, 0.6\% and 1.4\%). Latent class analysis identified 4 patterns: minimal disease, cardiometabolic, low cognition, musculoskeletal-lung depression. In the cardiometabolic pattern, ASCVD risk was overpredicted compared with cumulative incidence risk in men (7.4\%) and women (6.8\%). Risk was underpredicted in men (-10.7\%) and women (-8.2\%) with frailty compared with cause-specific risk. Miscalibration occurred mostly at high predicted risk ranges. Conclusions ASCVD prediction was good in this cohort of adults aged >=65~years. Although calibration varied by multimorbidity patterns, frailty, and competing risks, miscalibration was mostly present at high predicted risk ranges and thus less likely to alter decision making for primary prevention therapy.

}, issn = {2047-9980}, doi = {10.1161/JAHA.119.016003}, author = {Nguyen, Quoc Dinh and Odden, Michelle C and Peralta, Carmen A and Kim, Dae Hyun} } @article {8377, title = {Putative Cut-Points in Sarcopenia Components and Incident Adverse Health Outcomes: An SDOC Analysis.}, journal = {J Am Geriatr Soc}, volume = {68}, year = {2020}, month = {2020 Jul}, pages = {1429-1437}, abstract = {

OBJECTIVES: Analyses performed by the Sarcopenia Definitions and Outcomes Consortium (SDOC) identified cut-points in several metrics of grip strength for consideration in a definition of sarcopenia. We describe the associations between the SDOC-identified metrics of low grip strength (absolute or standardized to body size/composition); low dual-energy x-ray absorptiometry (DXA) lean mass as previously defined in the literature (appendicular lean mass [ALM]/ht ); and slowness (walking speed <.8 m/s) with subsequent adverse outcomes (falls, hip fractures, mobility limitation, and mortality).

DESIGN: Individual-level, sex-stratified pooled analysis. We calculated odds ratios (ORs) or hazard ratios (HRs) for incident falls, mobility limitation, hip fractures, and mortality. Follow-up time ranged from 1 year for falls to 8.8 {\textpm} 2.3 years for mortality.

SETTING: Eight prospective observational cohort studies.

PARTICIPANTS: A total of 13,421 community-dwelling men and 4,828 community-dwelling women. MEASUREMENTS Grip strength by hand dynamometry, gait speed, and lean mass by DXA.

RESULTS: Low grip strength (absolute or standardized to body size/composition) was associated with incident outcomes, usually independently of slowness, in both men and women. ORs and HRs generally ranged from 1.2 to 3.0 for those below vs above the cut-point. DXA lean mass was not consistently associated with these outcomes. When considered together, those who had both muscle weakness by absolute grip strength (<35.5 kg in men and <20 kg in women) and slowness were consistently more likely to have a fall, hip fracture, mobility limitation, or die than those without either slowness or muscle weakness.

CONCLUSION: Older men and women with both muscle weakness and slowness have a higher likelihood of adverse health outcomes. These results support the inclusion of grip strength and walking speed as components in a summary definition of sarcopenia. J Am Geriatr Soc 68:1429-1437, 2020.

}, issn = {1532-5415}, doi = {10.1111/jgs.16517}, author = {Cawthon, Peggy M and Manini, Todd and Patel, Sheena M and Newman, Anne and Travison, Thomas and Kiel, Douglas P and Santanasto, Adam J and Ensrud, Kristine E and Xue, Qian-Li and Shardell, Michelle and Duchowny, Kate and Erlandson, Kristine M and Pencina, Karol M and Fielding, Roger A and Magaziner, Jay and Kwok, Timothy and Karlsson, Magnus and Ohlsson, Claes and Mellstr{\"o}m, Dan and Hirani, Vasant and Ribom, Eva and Correa-de-Araujo, Rosaly and Bhasin, Shalender} } @article {8241, title = {Serial Biomarkers of De Novo Lipogenesis Fatty Acids and Incident Heart Failure in Older Adults: The Cardiovascular Health Study.}, journal = {J Am Heart Assoc}, volume = {9}, year = {2020}, month = {2020 Feb 18}, pages = {e014119}, abstract = {

Background De novo lipogenesis (DNL) is an endogenous pathway that converts excess dietary starch, sugar, protein, and alcohol into specific fatty acids (FAs). Although elevated DNL is linked to several metabolic abnormalities, little is known about how long-term habitual levels and changes in levels of FAs in the DNL pathway relate to incident heart failure (HF). Methods and Results We investigated whether habitual levels and changes in serial measures of FAs in the DNL pathway were associated with incident HF among 4249 participants free of HF at baseline. Plasma phospholipid FAs were measured at baseline, 6~years, and 13~years using gas chromatography, and risk factors for HF were measured using standardized methods. Incident HF was centrally adjudicated using medical records. We prospectively evaluated associations with HF risk of (1) habitual FA levels, using cumulative updating to assess long-term exposure, and (2) changes in FA levels over time. During 22.1~years of follow-up, 1304 HF cases occurred. After multivariable adjustment, habitual levels and changes in levels of palmitic acid (16:0) were positively associated with incident HF (interquintile hazard ratio [95\% CI]=1.17 [1.00-1.36] and 1.26 [1.03-1.55], respectively). Changes in levels of 7-hexadecenoic acid (16:1n-9) and vaccenic acid (18:1n-7) were each positively associated with risk of HF (1.36 [1.13-1.62], and 1.43 [1.18-1.72], respectively). Habitual levels and changes in levels of myristic acid (14:0), palmitoleic acid (16:1n-7), stearic acid (18:0), and oleic acid (18:1n-9) were not associated with incident HF. Conclusions Both habitual levels and changes in levels of 16:0 were positively associated with incident HF in older adults. Changes in 16:1n-9 and 18:1n-7 were also positively associated with incident HF. These findings support a potential role of DNL or these DNL-related FAs in the development of HF.

}, issn = {2047-9980}, doi = {10.1161/JAHA.119.014119}, author = {Lee, Yujin and Lai, Heidi T M and de Oliveira Otto, Marcia C and Lemaitre, Rozenn N and McKnight, Barbara and King, Irena B and Song, Xiaoling and Huggins, Gordon S and Vest, Amanda R and Siscovick, David S and Mozaffarian, Dariush} } @article {8399, title = {Sex Differences in the Association Between Pentraxin 3 and Cognitive Decline: The Cardiovascular Health Study.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {75}, year = {2020}, month = {2020 Jul 13}, pages = {1523-1529}, abstract = {

BACKGROUND: The importance of systemic inflammation, measured by C-reactive protein, in cognitive decline has been demonstrated; however, the role of vascular inflammation is less understood. Pentraxin 3 (PTX3) is a novel marker of vascular inflammation.

METHODS: We followed adults 65 and older, free of cardiovascular disease (CVD) for up to 9 years (n = 1,547) in the Cardiovascular Health Study. We evaluated the relationship between PTX3 and change in cognitive function, measured using the Modified Mini-Mental State Examination (3MSE), and incident cognitive impairment (3MSE < 80). Mediation by CVD events, and effect modification by sex and apolipoprotein E ɛ4 allele (APOE4) were also examined.

RESULTS: The average decline in 3MSE was 0.77 points per year. The association between PTX3 and change in 3MSE differed between women and men (p = .02). In the adjusted model, each standard deviation higher in PTX3 was associated with a 0.20 greater decline in 3MSE score per year in women over follow-up (95\% CI: -0. 37, -0.03; p = .02), compared to no change in men (β = 0.07; 95\% CI: -0.08, 0.22). CVD events had a minor effect on the associations. No effect modification by APOE4 was found, although we observed the association of PTX3 and cognitive impairment in women was attenuated and nonsignificant after adjustment for APOE4. There was a paradoxical protective association between PTX3 and reduced cognitive impairment in men, even after adjustment for APOE4.

CONCLUSIONS: We found that vascular inflammation was significantly associated with cognitive decline in older women, but not men.

}, issn = {1758-535X}, doi = {10.1093/gerona/glz217}, author = {Miller, Lindsay M and Jenny, Nancy S and Rawlings, Andreea M and Arnold, Alice M and Fitzpatrick, Annette L and Lopez, Oscar L and Odden, Michelle C} } @article {8481, title = {Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.}, journal = {Cell}, volume = {182}, year = {2020}, month = {2020 Sep 03}, pages = {1198-1213.e14}, abstract = {

Most loci identified by GWASs have been found in populations of European ancestry (EUR). In trans-ethnic meta-analyses for 15 hematological traits in 746,667 participants, including 184,535 non-EUR individuals, we identified 5,552 trait-variant associations at p~< 5~{\texttimes} 10, including 71 novel associations not found in EUR populations. We also identified 28 additional novel variants in ancestry-specific, non-EUR meta-analyses, including an IL7 missense variant in South Asians associated with lymphocyte count in~vivo and IL-7 secretion levels in~vitro. Fine-mapping prioritized variants annotated as functional and generated 95\% credible sets that were 30\% smaller when using the trans-ethnic as opposed to the EUR-only results. We explored the clinical significance and predictive value of trans-ethnic variants in multiple populations and compared genetic architecture and the effect of natural selection on these blood phenotypes between populations. Altogether, our results for hematological traits highlight the value of a more global representation of populations in genetic studies.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2020.06.045}, author = {Chen, Ming-Huei and Raffield, Laura M and Mousas, Abdou and Sakaue, Saori and Huffman, Jennifer E and Moscati, Arden and Trivedi, Bhavi and Jiang, Tao and Akbari, Parsa and Vuckovic, Dragana and Bao, Erik L and Zhong, Xue and Manansala, Regina and Laplante, V{\'e}ronique and Chen, Minhui and Lo, Ken Sin and Qian, Huijun and Lareau, Caleb A and Beaudoin, M{\'e}lissa and Hunt, Karen A and Akiyama, Masato and Bartz, Traci M and Ben-Shlomo, Yoav and Beswick, Andrew and Bork-Jensen, Jette and Bottinger, Erwin P and Brody, Jennifer A and van Rooij, Frank J A and Chitrala, Kumaraswamynaidu and Cho, Kelly and Choquet, Helene and Correa, Adolfo and Danesh, John and Di Angelantonio, Emanuele and Dimou, Niki and Ding, Jingzhong and Elliott, Paul and Esko, T{\~o}nu and Evans, Michele K and Floyd, James S and Broer, Linda and Grarup, Niels and Guo, Michael H and Greinacher, Andreas and Haessler, Jeff and Hansen, Torben and Howson, Joanna M M and Huang, Qin Qin and Huang, Wei and Jorgenson, Eric and Kacprowski, Tim and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kanai, Masahiro and Karthikeyan, Savita and Koskeridis, Fotis and Lange, Leslie A and Lehtim{\"a}ki, Terho and Lerch, Markus M and Linneberg, Allan and Liu, Yongmei and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Martin, Hilary C and Matsuda, Koichi and Mohlke, Karen L and Mononen, Nina and Murakami, Yoshinori and Nadkarni, Girish N and Nauck, Matthias and Nikus, Kjell and Ouwehand, Willem H and Pankratz, Nathan and Pedersen, Oluf and Preuss, Michael and Psaty, Bruce M and Raitakari, Olli T and Roberts, David J and Rich, Stephen S and Rodriguez, Benjamin A T and Rosen, Jonathan D and Rotter, Jerome I and Schubert, Petra and Spracklen, Cassandra N and Surendran, Praveen and Tang, Hua and Tardif, Jean-Claude and Trembath, Richard C and Ghanbari, Mohsen and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Nicholas A and Zonderman, Alan B and Wilson, Peter W F and Li, Yun and Butterworth, Adam S and Gauchat, Jean-Fran{\c c}ois and Chiang, Charleston W K and Li, Bingshan and Loos, Ruth J F and Astle, William J and Evangelou, Evangelos and van Heel, David A and Sankaran, Vijay G and Okada, Yukinori and Soranzo, Nicole and Johnson, Andrew D and Reiner, Alexander P and Auer, Paul L and Lettre, Guillaume} } @article {8446, title = {Whole Blood DNA Methylation Signatures of Diet Are Associated With Cardiovascular Disease Risk Factors and All-Cause Mortality.}, journal = {Circ Genom Precis Med}, volume = {13}, year = {2020}, month = {2020 Aug}, pages = {e002766}, abstract = {

BACKGROUND: DNA methylation patterns associated with habitual diet have not been well studied.

METHODS: Diet quality was characterized using a Mediterranean-style diet score and the Alternative Healthy Eating Index score. We conducted ethnicity-specific and trans-ethnic epigenome-wide association analyses for diet quality and leukocyte-derived DNA methylation at over 400 000 CpGs (cytosine-guanine dinucleotides) in 5 population-based cohorts including 6662 European ancestry, 2702 African ancestry, and 360 Hispanic ancestry participants. For diet-associated CpGs identified in epigenome-wide analyses, we conducted Mendelian randomization (MR) analysis to examine their relations to cardiovascular disease risk factors and examined their longitudinal associations with all-cause mortality.

RESULTS: We identified 30 CpGs associated with either Mediterranean-style diet score or Alternative Healthy Eating Index, or both, in European ancestry participants. Among these CpGs, 12 CpGs were significantly associated with all-cause mortality (Bonferroni corrected <1.6{\texttimes}10). Hypermethylation of cg18181703 () was associated with higher scores of both Mediterranean-style diet score and Alternative Healthy Eating Index and lower risk for all-cause mortality (=5.7{\texttimes}10). Ten additional diet-associated CpGs were nominally associated with all-cause mortality (<0.05). MR analysis revealed 8 putatively causal associations for 6 CpGs with 4 cardiovascular disease risk factors (body mass index, triglycerides, high-density lipoprotein cholesterol concentrations, and type 2 diabetes mellitus; Bonferroni corrected MR <4.5{\texttimes}10). For example, hypermethylation of cg11250194 () was associated with lower triglyceride concentrations (MR, =1.5{\texttimes}10).and hypermethylation of cg02079413 (; ) was associated with body mass index (corrected MR, =1{\texttimes}10).

CONCLUSIONS: Habitual diet quality was associated with differential peripheral leukocyte DNA methylation levels of 30 CpGs, most of which were also associated with multiple health outcomes, in European ancestry individuals. These findings demonstrate that integrative genomic analysis of dietary information may reveal molecular targets for disease prevention and treatment.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.119.002766}, author = {Ma, Jiantao and Rebholz, Casey M and Braun, Kim V E and Reynolds, Lindsay M and Aslibekyan, Stella and Xia, Rui and Biligowda, Niranjan G and Huan, Tianxiao and Liu, Chunyu and Mendelson, Michael M and Joehanes, Roby and Hu, Emily A and Vitolins, Mara Z and Wood, Alexis C and Lohman, Kurt and Ochoa-Rosales, Carolina and van Meurs, Joyce and Uitterlinden, Andre and Liu, Yongmei and Elhadad, Mohamed A and Heier, Margit and Waldenberger, Melanie and Peters, Annette and Colicino, Elena and Whitsel, Eric A and Baldassari, Antoine and Gharib, Sina A and Sotoodehnia, Nona and Brody, Jennifer A and Sitlani, Colleen M and Tanaka, Toshiko and Hill, W David and Corley, Janie and Deary, Ian J and Zhang, Yan and Sch{\"o}ttker, Ben and Brenner, Hermann and Walker, Maura E and Ye, Shumao and Nguyen, Steve and Pankow, Jim and Demerath, Ellen W and Zheng, Yinan and Hou, Lifang and Liang, Liming and Lichtenstein, Alice H and Hu, Frank B and Fornage, Myriam and Voortman, Trudy and Levy, Daniel} } @article {8639, title = {Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants.}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {2020 10 14}, pages = {5182}, abstract = {

Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.

}, keywords = {Adult, African Americans, Aged, Aged, 80 and over, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Calcium-Binding Proteins, Feasibility Studies, Female, Follow-Up Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Intracellular Signaling Peptides and Proteins, Lung, Male, Middle Aged, Polymorphism, Single Nucleotide, Protein Inhibitors of Activated STAT, Pulmonary Disease, Chronic Obstructive, Respiratory Physiological Phenomena, Small Ubiquitin-Related Modifier Proteins, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-020-18334-7}, author = {Zhao, Xutong and Qiao, Dandi and Yang, Chaojie and Kasela, Silva and Kim, Wonji and Ma, Yanlin and Shrine, Nick and Batini, Chiara and Sofer, Tamar and Taliun, Sarah A Gagliano and Sakornsakolpat, Phuwanat and Balte, Pallavi P and Prokopenko, Dmitry and Yu, Bing and Lange, Leslie A and Dupuis, Jos{\'e}e and Cade, Brian E and Lee, Jiwon and Gharib, Sina A and Daya, Michelle and Laurie, Cecelia A and Ruczinski, Ingo and Cupples, L Adrienne and Loehr, Laura R and Bartz, Traci M and Morrison, Alanna C and Psaty, Bruce M and Vasan, Ramachandran S and Wilson, James G and Taylor, Kent D and Durda, Peter and Johnson, W Craig and Cornell, Elaine and Guo, Xiuqing and Liu, Yongmei and Tracy, Russell P and Ardlie, Kristin G and Aguet, Francois and VanDenBerg, David J and Papanicolaou, George J and Rotter, Jerome I and Barnes, Kathleen C and Jain, Deepti and Nickerson, Deborah A and Muzny, Donna M and Metcalf, Ginger A and Doddapaneni, Harshavardhan and Dugan-Perez, Shannon and Gupta, Namrata and Gabriel, Stacey and Rich, Stephen S and O{\textquoteright}Connor, George T and Redline, Susan and Reed, Robert M and Laurie, Cathy C and Daviglus, Martha L and Preudhomme, Liana K and Burkart, Kristin M and Kaplan, Robert C and Wain, Louise V and Tobin, Martin D and London, Stephanie J and Lappalainen, Tuuli and Oelsner, Elizabeth C and Abecasis, Goncalo R and Silverman, Edwin K and Barr, R Graham and Cho, Michael H and Manichaikul, Ani} } @article {8826, title = {Assessment of Plasma Phospholipid Very-Long-Chain Saturated Fatty Acid Levels and Healthy Aging.}, journal = {JAMA Netw Open}, volume = {4}, year = {2021}, month = {2021 Aug 02}, pages = {e2120616}, abstract = {

Importance: Identifying novel factors that protect against age-related diseases and promote healthy aging is critical to public health. Higher levels of circulating very-long-chain saturated fatty acids (VLSFAs) are integrated biomarkers of diet and metabolism shown to have beneficial associations in cardiovascular disease and total mortality, but whether they are associated with overall healthy aging is unknown.

Objective: To examine the association of circulating levels of 3 VLSFAs with unhealthy aging events, including incident chronic disease (cardiovascular disease, cancer, lung disease or severe kidney disease), physical dysfunction, and cognitive decline.

Design, Setting, and Participants: This cohort study used 1992 to 2014 data from the Cardiovascular Health Study (CHS). The CHS is a multicenter, population-based study of cardiovascular disease among older adults. Among the 4559 CHS participants with available fatty acid data, 1879 participants who had an age-related event before their first measurement were excluded. Data analysis was performed in 2020.

Main Outcomes and Measures: Plasma phospholipid VLSFA levels were measured by thin-layer chromatography followed by gas chromatography. The main outcome was the hazard ratio (HR) of an incident unhealthy aging event associated with serial measures of plasma arachidic acid, behenic acid, and lignoceric acid.

Results: Among the 2680 study participants (976 men [36.4\%]), the mean (SD) age was 74.7 (4.8) years old at entry. During a median (interquartile range) of 6.4 (2.9-12.9) years of follow-up, 2484 participants experienced an unhealthy event. Compared with the lowest quintile, levels of behenic acid in the highest quintile of the fatty acid distribution were associated with 15\% lower risk of an unhealthy event (HR, 0.85; 95\% CI, 0.74-0.97; P for trend = .01) after adjustment for demographic characteristics, lifestyle factors, and clinical conditions. In analogous comparisons, levels of lignoceric acid were similarly associated with 16\% lower risk of an unhealthy event (HR, 0.84; 95\% CI, 0.73-0.95; P for trend = .001).

Conclusions and Relevance: These findings suggest that higher levels of circulating behenic acid and lignoceric acid are associated with lower risk of unhealthy aging events. These results highlight the need to explore determinants of circulating VLSFAs for potential novel efforts to promote healthy aging.

}, issn = {2574-3805}, doi = {10.1001/jamanetworkopen.2021.20616}, author = {Bockus, Lee B and Biggs, Mary L and Lai, Heidi T M and de Olivera Otto, Marcia C and Fretts, Amanda M and McKnight, Barbara and Sotoodehnia, Nona and King, Irena B and Song, Xiaoling and Siscovick, David S and Mozaffarian, Dariush and Lemaitre, Rozenn N} } @article {8776, title = {{Association between ABO haplotypes and the risk of venous thrombosis: impact on disease risk estimation}, journal = {Blood}, volume = {137}, year = {2021}, month = {Apr}, pages = {2394{\textendash}2402}, abstract = {10.1182/blood.2020008997Genetic risk score (GRS) analysis is a popular approach to derive individual risk prediction models for complex diseases. In venous thrombosis (VT), such type of analysis shall integrate information at the ABO blood group locus, which is one of the major susceptibility loci. However, there is no consensus about which single nucleotide polymorphisms (SNPs) must be investigated when properly assessing association between ABO locus and VT risk. Using comprehensive haplotype analyses of ABO blood group tagging SNPs in 5425 cases and 8445 controls from 6 studies, we demonstrate that using only rs8176719 (tagging O1) to correctly assess the impact of ABO locus on VT risk is suboptimal, because 5\% of rs8176719-delG carriers do not have an increased risk of developing VT. Instead, we recommend the use of 4 SNPs, rs2519093 (tagging A1), rs1053878 (A2), rs8176743 (B), and rs41302905 (O2), when assessing the impact of ABO locus on VT risk to avoid any risk misestimation. Compared with the O1 haplotype, the A2 haplotype is associated with a modest increase in VT risk (odds ratio, \~{}1.2), the A1 and B haplotypes are associated with an \~{}1.8-fold increased risk, whereas the O2 haplotype tends to be slightly protective (odds ratio, \~{}0.80). In addition, although the A1 and B blood groups are associated with increased von Willebrand factor and factor VIII plasma levels, only the A1 blood group is associated with ICAM levels, but in an opposite direction, leaving additional avenues to be explored to fully understand the spectrum of biological effects mediated by ABO locus on cardiovascular traits.}, author = {Goumidi, L. and Thibord, F. and Wiggins, K. L. and Li-Gao, R. and Brown, M. R. and van Hylckama Vlieg, A. and Souto, J. C. and Soria, J. M. and Ibrahim-Kosta, M. and Saut, N. and Daian, D. and Olaso, R. and Amouyel, P. and Debette, S. and Boland, A. and Bailly, P. and Morrison, A. C. and Mook-Kanamori, D. O. and Deleuze, J. F. and Johnson, A. and de Vries, P. S. and Sabater-Lleal, M. and Chiaroni, J. and Smith, N. L. and Rosendaal, F. R. and Chasman, D. I. and Tr{\'e}gou{\"e}t, D. A. and Morange, P. E.} } @article {8790, title = {Association Between Myocardial Strain and Frailty in CHS.}, journal = {Circ Cardiovasc Imaging}, volume = {14}, year = {2021}, month = {2021 May}, pages = {e012116}, abstract = {

BACKGROUND: Myocardial strain, measured by speckle-tracking echocardiography, is a novel measure of subclinical cardiovascular disease and may reflect myocardial aging. We evaluated the association between myocardial strain and frailty-a clinical syndrome of lack of physiological reserve.

METHODS: Frailty was defined in participants of the CHS (Cardiovascular Health Study) as having >=3 of the following clinical criteria: weakness, slowness, weight loss, exhaustion, and inactivity. Using speckle-tracking echocardiography data, we examined the cross-sectional (n=3206) and longitudinal (n=1431) associations with frailty among participants who had at least 1 measure of myocardial strain, left ventricular longitudinal strain (LVLS), left ventricular early diastolic strain rate and left atrial reservoir strain, and no history of cardiovascular disease or heart failure at the time of echocardiography.

RESULTS: In cross-sectional analyses, lower (worse) LVLS was associated with prevalent frailty; this association was robust to adjustment for left ventricular ejection fraction (adjusted odds ratio, 1.32 [95\% CI, 1.07-1.61] per 1-SD lower strain; =0.007) and left ventricular stroke volume (adjusted OR, 1.32 [95\% CI, 1.08-1.61] per 1-SD lower strain; =0.007). In longitudinal analyses, adjusted associations of LVLS and left ventricular early diastolic strain with incident frailty were 1.35 ([95\% CI, 0.96-1.89] =0.086) and 1.58 ([95\% CI, 1.11-2.27] =0.013, respectively). Participants who were frail and had the worst LVLS had a 2.2-fold increased risk of death (hazard ratio, 2.20 [95\% CI, 1.81-2.66]; <0.0001).

CONCLUSIONS: In community-dwelling older adults without prevalent cardiovascular disease, worse LVLS by speckle-tracking echocardiography, reflective of subclinical myocardial dysfunction, was associated with frailty. Frailty and LVLS have an additive effect on mortality risk.

}, issn = {1942-0080}, doi = {10.1161/CIRCIMAGING.120.012116}, author = {Tan, Annabel X and Shah, Sanjiv J and Sanders, Jason L and Psaty, Bruce M and Wu, Chenkai and Gardin, Julius M and Peralta, Carmen A and Newman, Anne B and Odden, Michelle C} } @article {9114, title = {Association Between Preserved Ratio Impaired Spirometry and Clinical Outcomes in US Adults.}, journal = {JAMA}, volume = {326}, year = {2021}, month = {2021 12 14}, pages = {2287-2298}, abstract = {

Importance: Chronic lung diseases are a leading cause of morbidity and mortality. Unlike chronic obstructive pulmonary disease, clinical outcomes associated with proportional reductions in expiratory lung volumes without obstruction, otherwise known as preserved ratio impaired spirometry (PRISm), are poorly understood.

Objective: To examine the prevalence, correlates, and clinical outcomes associated with PRISm in US adults.

Design, Setting, and Participants: The National Heart, Lung, and Blood Institute (NHLBI) Pooled Cohorts Study was a retrospective study with harmonized pooled data from 9 US general population-based cohorts (enrollment, 65 251 participants aged 18 to 102 years of whom 53 701 participants had valid baseline lung function) conducted from 1971-2011 (final follow-up, December 2018).

Exposures: Participants were categorized into mutually exclusive groups by baseline lung function. PRISm was defined as the ratio of forced expiratory volume in the first second to forced vital capacity (FEV1:FVC) greater than or equal to 0.70 and FEV1 less than 80\% predicted; obstructive spirometry FEV1:FVC ratio of less than 0.70; and normal spirometry FEV1:FVC ratio greater than or equal to 0.7 and FEV1 greater than or equal to 80\% predicted.

Main Outcomes and Measures: Main outcomes were all-cause mortality, respiratory-related mortality, coronary heart disease (CHD)-related mortality, respiratory-related events (hospitalizations and mortality), and CHD-related events (hospitalizations and mortality) classified by adjudication or validated administrative criteria. Absolute risks were adjusted for age and smoking status. Poisson and Cox proportional hazards models comparing PRISm vs normal spirometry were adjusted for age, sex, race and ethnicity, education, body mass index, smoking status, cohort, and comorbidities.

Results: Among all participants (mean [SD] age, 53.2 [15.8] years, 56.4\% women, 48.5\% never-smokers), 4582 (8.5\%) had PRISm. The presence of PRISm relative to normal spirometry was significantly associated with obesity (prevalence, 48.3\% vs 31.4\%; prevalence ratio [PR], 1.68 [95\% CI, 1.55-1.82]), underweight (prevalence, 1.4\% vs 1.0\%; PR, 2.20 [95\% CI, 1.72-2.82]), female sex (prevalence, 60.3\% vs 59.0\%; PR, 1.07 [95\% CI, 1.01-1.13]), and current smoking (prevalence, 25.2\% vs 17.5\%; PR, 1.33 [95\% CI, 1.22-1.45]). PRISm, compared with normal spirometry, was significantly associated with greater all-cause mortality (29.6/1000 person-years vs 18.0/1000 person-years; difference, 11.6/1000 person-years [95\% CI, 10.0-13.1]; adjusted hazard ratio [HR], 1.50 [95\% CI, 1.42-1.59]), respiratory-related mortality (2.1/1000 person-years vs 1.0/1000 person-years; difference, 1.1/1000 person-years [95\% CI, 0.7-1.6]; adjusted HR, 1.95 [95\% CI, 1.54-2.48]), CHD-related mortality (5.4/1000 person-years vs 2.6/1000 person-years; difference, 2.7/1000 person-years [95\% CI, 2.1-3.4]; adjusted HR, 1.55 [95\% CI, 1.36-1.77]), respiratory-related events (12.2/1000 person-years vs 6.0/1000 person-years; difference, 6.2/1000 person-years [95\% CI, 4.9-7.5]; adjusted HR, 1.90 [95\% CI, 1.69-2.14]), and CHD-related events (11.7/1000 person-years vs 7.0/1000 person-years; difference, 4.7/1000 person-years [95\% CI, 3.7-5.8]; adjusted HR, 1.30 [95\% CI, 1.18-1.42]).

Conclusions and Relevance: In a large, population-based sample of US adults, baseline PRISm, compared with normal spirometry, was associated with a small but statistically significant increased risk for mortality and adverse cardiovascular and respiratory outcomes. Further research is needed to explore whether this association is causal.

}, keywords = {Adult, Aged, Aged, 80 and over, Cardiovascular Diseases, Female, Forced Expiratory Volume, Humans, Lung, Lung Diseases, Male, Middle Aged, Prevalence, Retrospective Studies, Spirometry, United States, Vital Capacity}, issn = {1538-3598}, doi = {10.1001/jama.2021.20939}, author = {Wan, Emily S and Balte, Pallavi and Schwartz, Joseph E and Bhatt, Surya P and Cassano, Patricia A and Couper, David and Daviglus, Martha L and Dransfield, Mark T and Gharib, Sina A and Jacobs, David R and Kalhan, Ravi and London, Stephanie J and Navas-Acien, Ana and O{\textquoteright}Connor, George T and Sanders, Jason L and Smith, Benjamin M and White, Wendy and Yende, Sachin and Oelsner, Elizabeth C} } @article {8703, title = {Association of Midlife Cardiovascular Risk Factors With the Risk of Heart Failure Subtypes Later in Life.}, journal = {J Card Fail}, volume = {27}, year = {2021}, month = {2021 Apr}, pages = {435-444}, abstract = {

BACKGROUND: Independent associations between cardiovascular risk factor exposures during midlife and later life development of heart failure (HF) with preserved ejection fraction (HFpEF) versus reduced EF (HFrEF) have not been previously studied.

METHODS: We pooled data from 4 US cohort studies (Atherosclerosis Risk in Communities, Cardiovascular Health, Health , Aging and Body Composition, and Multi-Ethnic Study of Atherosclerosis) and imputed annual risk factor trajectories for body mass index, systolic and diastolic blood pressure, low-density lipoprotein and high-density lipoprotein cholesterol, and glucose starting from age 40 years. Time-weighted average exposures to each risk factor during midlife and later life were calculated and analyzed for associations with the development of HFpEF or HFrEF.

RESULTS: A total of 23,861 participants were included (mean age at first in-person visit, 61.8 {\textpm}1 0.2 years; 56.6\% female). During a median follow-up of 12 years, there were 3666 incident HF events, of which 51\% had EF measured, including 934 with HFpEF and 739 with HFrEF. A high midlife systolic blood pressure and low midlife high-density lipoprotein cholesterol were associated with HFrEF, and a high midlife body mass index, systolic blood pressure, pulse pressure, and glucose were associated with HFpEF. After adjusting for later life exposures, only midlife pulse pressure remained independently associated with HFpEF.

CONCLUSIONS: Midlife exposure to cardiovascular risk factors are differentially associated with HFrEF and HFpEF later in life. Having a higher pulse pressure during midlife is associated with a greater risk for HFpEF but not HFrEF, independent of later life exposures.

}, issn = {1532-8414}, doi = {10.1016/j.cardfail.2020.11.008}, author = {Cohen, Laura P and Vittinghoff, Eric and Pletcher, Mark J and Allen, Norrina B and Shah, Sanjiv J and Wilkins, John T and Chang, Patricia P and Ndumele, Chiadi E and Newman, Anne B and Ives, Diane and Maurer, Mathew S and Oelsner, Elizabeth C and Moran, Andrew E and Zhang, Yiyi} } @article {9008, title = {Association of Retail Environment and Neighborhood Socioeconomic Status with Mortality among Community-dwelling Older Adults in the US: Cardiovascular Health Study.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2021}, month = {2021 Oct 20}, abstract = {

BACKGROUND: Few studies have examined the association of neighborhood environment and mortality among community-dwelling older populations. Geographic Information Systems (GIS)-based measures of neighborhood physical environment may provide new insights on the health effects of the social and built environment.

METHODS: We studied 4,379 community-dwelling older adults in the US aged >=65 years from the Cardiovascular Health Study. Principal component analysis was used to identify neighborhood components from 48 variables assessing facilities and establishments, demographic composition, socio-economic status, and economic prosperity. We used a Cox model to evaluate the association of neighborhood components with five-year mortality. Age, sex, race, education, income, marital status, body mass index, smoking status, disability, coronary heart disease, and diabetes were included as covariates. We also examined the interactions between neighborhood components and sex and race (Black vs. white or other).

RESULTS: We identified five neighborhood components, representing facilities and resources, immigrant communities, community-level economic deprivation, resident-level socio-economic status and residents{\textquoteright} age. Communities{\textquoteright} economic deprivation and residents{\textquoteright} socio-economic status were significantly associated with five-year mortality. We did not find interactions between sex or race and any of the five neighborhood components. The results were similar in a sensitivity analysis where we used ten-year mortality as the outcome.

CONCLUSIONS: We found that communities{\textquoteright} economic status but not facilities in communities was associated with mortality among older adults. These findings revealed the importance and benefits living in a socio-economically advantaged neighborhood could have on health among older residents with different demographic backgrounds.

}, issn = {1758-535X}, doi = {10.1093/gerona/glab319}, author = {Zhang, Kehan and Lovasi, Gina S and Odden, Michelle C and Michael, Yvonne L and Newman, Anne B and Arnold, Alice M and Kim, Dae Hyun and Wu, Chenkai} } @article {8922, title = {Association of Trimethylamine N-Oxide and Related Metabolites in Plasma and Incident Type 2 Diabetes: The Cardiovascular Health Study.}, journal = {JAMA Netw Open}, volume = {4}, year = {2021}, month = {2021 Aug 02}, pages = {e2122844}, abstract = {

Importance: Although rodent studies suggest that trimethylamine N-oxide (TMAO) influences glucose homeostasis and risk of type 2 diabetes, evidence in humans is limited.

Objective: To examine the associations of serial measures of plasma TMAO and related metabolite concentrations with incident type 2 diabetes, fasting plasma insulin and glucose levels, and the Gutt insulin sensitivity index (ISI).

Design, Setting, and Participants: This prospective cohort design assessed the association of plasma TMAO and related metabolite concentrations with diabetes outcome, whereas a cross-sectional design assessed the association with insulin and glucose levels and Gutt ISI. The participants were a cohort of older US adults from the Cardiovascular Health Study (CHS). Data from June 1989 to May 1990, from November 1992 to June 1993, and from June 1995 to June 1997 were included, with follow-up through June 2010. Levels of TMAO and related metabolites were measured in CHS plasma samples. Data were analyzed from July 2019 to September 2020.

Exposures: Plasma concentrations of TMAO, carnitine, betaine, choline, crotonobetaine, and γ-butyrobetaine, measured by high-performance liquid chromatography and mass spectrometry.

Main Outcomes and Measures: Linear regression for associations of TMAO and related metabolites with insulin and glucose levels and Gutt ISI, and proportional hazards regression for associations with diabetes.

Results: The study included 4442 participants without diabetes at baseline (mean [SD] age, 73 [6] years at entry; 2710 [61\%] women). In multivariable analyses, plasma TMAO, carnitine, crotonobetaine, and γ-butyrobetaine concentrations were positively associated with fasting insulin level (insulin mean geometric ratio comparing fifth with first quintiles of metabolite concentration: 1.07 [95\% CI, 1.04-1.10] for TMAO; 1.07 [95\% CI, 1.03-1.10] for carnitine; 1.05 [95\% CI, 1.02-1.08] for crotonobetaine; and 1.06 [95\% CI, 1.02-1.09] for γ-butyrobetaine). In contrast, betaine and choline concentrations were associated with greater insulin sensitivity (mean difference in Gutt ISI comparing fifth with first quintiles: 6.46 [95\% CI, 4.32-8.60] and 2.27 [95\% CI, 0.16-4.38], respectively). Incident diabetes was identified in 661 participants during a median 12.1 (interquartile range, 6.9-17.1) years of follow-up. In multivariable analyses, TMAO and metabolites were not significantly associated with type 2 diabetes risk (hazard ratios of diabetes comparing fifth with first quintile: 1.20 [95\% CI, 0.94-1.55] for TMAO; 0.96 [95\% CI, 0.74-1.24] for choline; 0.88 [95\% CI, 0.67-1.15] for betaine; 1.07 [95\% CI, 0.83-1.37] for carnitine; 0.79 [95\% CI, 0.60-1.04] for γ-butyrobetaine; and 1.06 [95\% CI, 0.83-1.35] for crotonobetaine).

Conclusions and Relevance: Plasma TMAO and related metabolites were not significantly associated with type 2 diabetes among older adults. The metabolites TMAO, carnitine, γ-butyrobetaine, and crotonobetaine may be associated with insulin resistance, and betaine and choline may be associated with greater insulin sensitivity, but temporality of the associations was not established.

}, issn = {2574-3805}, doi = {10.1001/jamanetworkopen.2021.22844}, author = {Lemaitre, Rozenn N and Jensen, Paul N and Wang, Zeneng and Fretts, Amanda M and McKnight, Barbara and Nemet, Ina and Biggs, Mary L and Sotoodehnia, Nona and de Oliveira Otto, Marcia C and Psaty, Bruce M and Siscovick, David S and Hazen, Stanley L and Mozaffarian, Dariush} } @article {9000, title = {Associations of Body Mass Index and Waist Circumference in Young Adulthood with Later Life Incident Diabetes.}, journal = {J Clin Endocrinol Metab}, volume = {106}, year = {2021}, month = {2021 11 19}, pages = {e5011-e5020}, abstract = {

CONTEXT: The independent contribution of young adult exposure to overweight and obesity to later-life incident diabetes is not well studied.

OBJECTIVE: To assess the associations of exposures to elevated body mass index (BMI) and waist circumference (WC) in young adulthood (ages 18-39 years) with incident diabetes later in life (>=40 years).

DESIGN: Pooled data from 6 US prospective cohorts (Atherosclerosis Risk in Communities Study, Cardiovascular Risk Development in Young Adults Study, Cardiovascular Health Study, (4) Framingham Heart Study Offspring Cohort, (5) Health, Aging and Body Composition Study, and (6) Multi-Ethnic Study of Atherosclerosis.

SETTING: Population-based cohort studies.

PARTICIPANTS: 30 780 participants (56.1\% female, 69.8\% non-Hispanic white) without a diagnosis of diabetes by age 40.

INTERVENTIONS: We imputed BMI and WC trajectories from age 18 for every participant and estimated time-weighted average exposures to BMI or WC during young adulthood and later life.

MAIN OUTCOME MEASURE(S): Incident diabetes defined as fasting glucose >=126 mg/dL, nonfasting glucose >=200 mg/dL, or use of diabetes medications.

RESULTS: During a 9-year median follow-up, 4323 participants developed incident diabetes. Young adult BMI and WC were associated with later-life incident diabetes after controlling for later-life exposures [hazard ratios (HR) 1.99 for BMI >= 30 kg/m2 and 2.13 for WC > 88cm (women)/>102cm (men) compared to normal ranges]. Young adult homeostatic model of insulin resistance mediated 49\% and 44\% of the association between BMI and WC with later-life incident diabetes. High-density lipoproteins and triglycerides mediated a smaller proportion of these associations.

CONCLUSIONS: Elevated BMI and WC during young adulthood were independently associated with later-life incident diabetes. Insulin resistance may be a key mediator.

}, keywords = {Adolescent, Adult, Biomarkers, Body Mass Index, Diabetes Mellitus, Female, Follow-Up Studies, Humans, Male, Obesity, Overweight, Prognosis, Prospective Studies, Risk Factors, United States, Waist Circumference, Young Adult}, issn = {1945-7197}, doi = {10.1210/clinem/dgab551}, author = {Nair, Nandini and Vittinghoff, Eric and Pletcher, Mark J and Oelsner, Elizabeth C and Allen, Norrina B and Ndumele, Chiadi E and West, Nancy A and Strotmeyer, Elsa S and Mukamal, Kenneth J and Siscovick, David S and Biggs, Mary L and Laferr{\`e}re, Blandine and Moran, Andrew E and Zhang, Yiyi} } @article {8710, title = {Balance and cognitive decline in older adults in the cardiovascular health study.}, journal = {Age Ageing}, year = {2021}, month = {2021 Mar 10}, abstract = {

BACKGROUND: Previous studies have demonstrated an association between gait speed and cognitive function. However, the relationship between balance and cognition remains less well explored. This study examined the cross-sectional and longitudinal relationship of balance and cognitive decline in older adults.

METHODS: A cohort of 4,811 adults, aged >=65~years, participating in the Cardiovascular Health Study was followed for 6~years. Modified Mini-Mental State Examination (3MSE) and Digit Symbol Substitution Test (DSST) were used to measure cognition. Tandem balance measures were used to evaluate balance. Regression models were adjusted for demographics, behavioural and disease factors.

RESULTS: Worse balance was independently associated with worse cognition in cross-sectional analysis. Longitudinally, participants aged >=76~years with poorer balance had a faster rate of decline after adjustment for co-variates: -0.97 points faster decline in 3MSE per year (95\% confidence interval (CI): -1.32, -0.63) compared to the participants with good balance. There was no association of balance and change in 3MSE among adults aged <76~years (P value for balance and age interaction < 0.0001). DSST scores reflected -0.21 (95\% CI: -0.37, -0.05) points greater decline when adjusted for co-variates. In Cox proportional hazard models, participants with worse balance had a higher risk of being cognitively impaired over the 6 years of follow-up visits (adjusted HR:1.72, 95\% CI: 1.30, 2.29).

CONCLUSIONS: Future studies should evaluate standing balance as a potential screening technique to identify individuals at risk of cognitive decline. Furthermore, a better understanding of the pathophysiological link between balance and cognition may inform strategies to prevent cognitive decline.

}, issn = {1468-2834}, doi = {10.1093/ageing/afab038}, author = {Meunier, Claire C and Smit, Ellen and Fitzpatrick, Annette L and Odden, Michelle C} } @article {8838, title = {BinomiRare: A robust test for association of a rare genetic variant with a binary outcome for mixed models and any case-control proportion.}, journal = {HGG Adv}, volume = {2}, year = {2021}, month = {2021 Jul 08}, abstract = {

Whole-genome sequencing (WGS) and whole-exome sequencing studies have become increasingly available and are being used to identify rare genetic variants associated with health and disease outcomes. Investigators routinely use mixed models to account for genetic relatedness or other clustering variables (e.g., family or household) when testing genetic associations. However, no existing tests of the association of a rare variant with a binary outcome in the presence of correlated data control the type 1 error where there are (1) few individuals harboring the rare allele, (2) a small proportion of cases relative to controls, and (3) covariates to adjust for. Here, we address all three issues in developing a framework for testing rare variant association with a binary trait in individuals harboring at least one risk allele. In this framework, we estimate outcome probabilities under the null hypothesis and then use them, within the individuals with at least one risk allele, to test variant associations. We extend the BinomiRare test, which was previously proposed for independent observations, and develop the Conway-Maxwell-Poisson (CMP) test and study their properties in simulations. We show that the BinomiRare test always controls the type 1 error, while the CMP test sometimes does not. We then use the BinomiRare test to test the association of rare genetic variants in target genes with small-vessel disease (SVD) stroke, short sleep, and venous thromboembolism (VTE), in whole-genome sequence data from the Trans-Omics for Precision Medicine (TOPMed) program.

}, issn = {2666-2477}, doi = {10.1016/j.xhgg.2021.100040}, author = {Sofer, Tamar and Lee, Jiwon and Kurniansyah, Nuzulul and Jain, Deepti and Laurie, Cecelia A and Gogarten, Stephanie M and Conomos, Matthew P and Heavner, Ben and Hu, Yao and Kooperberg, Charles and Haessler, Jeffrey and Vasan, Ramachandran S and Cupples, L Adrienne and Coombes, Brandon J and Seyerle, Amanda and Gharib, Sina A and Chen, Han and O{\textquoteright}Connell, Jeffrey R and Zhang, Man and Gottlieb, Daniel J and Psaty, Bruce M and Longstreth, W T and Rotter, Jerome I and Taylor, Kent D and Rich, Stephen S and Guo, Xiuqing and Boerwinkle, Eric and Morrison, Alanna C and Pankow, James S and Johnson, Andrew D and Pankratz, Nathan and Reiner, Alex P and Redline, Susan and Smith, Nicholas L and Rice, Kenneth M and Schifano, Elizabeth D} } @article {8834, title = {Cardiovascular damage phenotypes and all-cause and CVD mortality in older adults.}, journal = {Ann Epidemiol}, volume = {63}, year = {2021}, month = {2021 Jul 30}, pages = {35-40}, abstract = {

PURPOSE: The association between CVD risk factors and mortality is well established, however, current tools for addressing subgroups have focused on the overall burden of disease. The identification of risky combinations of characteristics may lead to a better understanding of physiologic pathways that underlie morbidity and mortality in older adults.

METHODS: Participants included 5067 older adults from the Cardiovascular Health Study, followed for up to 6 years. Using latent class analysis (LCA), we created CV damage phenotypes based on probabilities of abnormal brain infarctions, major echocardiogram abnormalities, N-terminal probrain natriuretic peptide, troponin T, interleukin-6, c reactive-protein, galectin-3, cystatin C. We assigned class descriptions based on the probability of having an abnormality among risk factors, such that a healthy phenotype would have low probabilities in all risk factors. Participants were assigned to phenotypes based on the maximum probability of membership. We used Cox-proportional hazards regression to evaluate the association between the categorical CV damage phenotype and all-cause and CVD-mortality.

RESULTS: The analysis yielded 5 CV damage phenotypes consistent with the following descriptions: healthy (59\%), cardio-renal (11\%), cardiac (15\%), multisystem morbidity (6\%), and inflammatory (9\%). All four phenotypes were statistically associated with a greater risk of all-cause mortality when compared with the healthy phenotype. The multisystem morbidity phenotype had the greatest risk of all-cause death (HR: 4.02; 95\% CI: 3.44, 4.70), and CVD-mortality (HR: 4.90, 95\% CI: 3.95, 6.06).

CONCLUSIONS: Five CV damage phenotypes emerged from CVD risk factor measures. CV damage across multiple systems confers a greater mortality risk compared to damage in any single domain.

}, issn = {1873-2585}, doi = {10.1016/j.annepidem.2021.07.012}, author = {Miller, Lindsay M and Wu, Chenkai and Hirsch, Calvin H and Lopez, Oscar L and Cushman, Mary and Odden, Michelle C} } @article {8711, title = {Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 04 12}, pages = {2182}, abstract = {

Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 {\texttimes} 10), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 {\texttimes} 10), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 {\texttimes} 10). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids.

}, issn = {2041-1723}, doi = {10.1038/s41467-021-22339-1}, author = {Natarajan, Pradeep and Pampana, Akhil and Graham, Sarah E and Ruotsalainen, Sanni E and Perry, James A and de Vries, Paul S and Broome, Jai G and Pirruccello, James P and Honigberg, Michael C and Aragam, Krishna and Wolford, Brooke and Brody, Jennifer A and Antonacci-Fulton, Lucinda and Arden, Moscati and Aslibekyan, Stella and Assimes, Themistocles L and Ballantyne, Christie M and Bielak, Lawrence F and Bis, Joshua C and Cade, Brian E and Do, Ron and Doddapaneni, Harsha and Emery, Leslie S and Hung, Yi-Jen and Irvin, Marguerite R and Khan, Alyna T and Lange, Leslie and Lee, Jiwon and Lemaitre, Rozenn N and Martin, Lisa W and Metcalf, Ginger and Montasser, May E and Moon, Jee-Young and Muzny, Donna and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Peralta, Juan M and Peyser, Patricia A and Stilp, Adrienne M and Tsai, Michael and Wang, Fei Fei and Weeks, Daniel E and Yanek, Lisa R and Wilson, James G and Abecasis, Goncalo and Arnett, Donna K and Becker, Lewis C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Chang, Yi-Cheng and Chen, Yii-der I and Choi, Won Jung and Correa, Adolfo and Curran, Joanne E and Daly, Mark J and Dutcher, Susan K and Ellinor, Patrick T and Fornage, Myriam and Freedman, Barry I and Gabriel, Stacey and Germer, Soren and Gibbs, Richard A and He, Jiang and Hveem, Kristian and Jarvik, Gail P and Kaplan, Robert C and Kardia, Sharon L R and Kenny, Eimear and Kim, Ryan W and Kooperberg, Charles and Laurie, Cathy C and Lee, Seonwook and Lloyd-Jones, Don M and Loos, Ruth J F and Lubitz, Steven A and Mathias, Rasika A and Martinez, Karine A Viaud and McGarvey, Stephen T and Mitchell, Braxton D and Nickerson, Deborah A and North, Kari E and Palotie, Aarno and Park, Cheol Joo and Psaty, Bruce M and Rao, D C and Redline, Susan and Reiner, Alexander P and Seo, Daekwan and Seo, Jeong-Sun and Smith, Albert V and Tracy, Russell P and Vasan, Ramachandran S and Kathiresan, Sekar and Cupples, L Adrienne and Rotter, Jerome I and Morrison, Alanna C and Rich, Stephen S and Ripatti, Samuli and Willer, Cristen and Peloso, Gina M} } @article {8787, title = {Cumulative burden of clinically significant aortic stenosis in community-dwelling older adults.}, journal = {Heart}, year = {2021}, month = {2021 Jun 02}, abstract = {

OBJECTIVES: Current estimates of aortic stenosis (AS) frequency have mostly relied on cross-sectional echocardiographic or longitudinal administrative data, making understanding of AS burden incomplete. We performed case adjudications to evaluate the frequency of AS and assess differences by age, sex and race in an older cohort with long-term follow-up.

METHODS: We developed case-capture methods using study echocardiograms, procedure and diagnosis codes, heart failure events and deaths for targeted review of medical records in the Cardiovascular Health Study to identify moderate or severe AS and related procedures or hospitalisations. The primary outcome was clinically significant AS (severe AS or procedure). Assessment of incident AS burden was based on subdistribution survival methods, while associations with age, sex and race relied on cause-specific survival methods.

RESULTS: The cohort comprised 5795 participants (age 73{\textpm}6, 42.2\% male, 14.3\% Black). Cumulative frequency of clinically significant AS at maximal 25-year follow-up was 3.69\% (probable/definite) to 4.67\% (possible/probable/definite), while the corresponding 20-year cumulative incidence was 2.88\% to 3.71\%. Of incident cases, about 85\% had a hospitalisation for severe AS, but roughly half did not undergo valve intervention. The adjusted incidence of clinically significant AS was higher in men (HR 1.62 [95\% CI 1.21 to 2.17]) and increased with age (HR 1.08 [95\% CI 1.04 to 1.11]), but was lower in Blacks (HR 0.43 [95\% CI 0.23 to 0.81]).

CONCLUSIONS: In this community-based study, we identified a higher burden of clinically significant AS than reported previously, with differences by age, sex and race. These findings have important implications for public health resource planning, although the lower burden in Blacks merits further study.

}, issn = {1468-201X}, doi = {10.1136/heartjnl-2021-319025}, author = {Owens, David S and Bartz, Traci M and B{\r u}zkov{\'a}, Petra and Massera, Daniele and Biggs, Mary L and Carlson, Selma D and Psaty, Bruce M and Sotoodehnia, Nona and Gottdiener, John S and Kizer, Jorge R} } @article {8774, title = {Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 06 09}, pages = {3505}, abstract = {

Hundreds of thousands of genetic variants have been reported to cause severe monogenic diseases, but the probability that a variant carrier develops the disease (termed penetrance) is unknown for virtually all of them. Additionally, the clinical utility of common polygenetic variation remains uncertain. Using exome sequencing from 77,184 adult individuals (38,618 multi-ancestral individuals from a type 2 diabetes case-control study and 38,566 participants from the UK Biobank, for whom genotype array data were also available), we apply clinical standard-of-care gene variant curation for eight monogenic metabolic conditions. Rare variants causing monogenic diabetes and dyslipidemias display effect sizes significantly larger than the top 1\% of the corresponding polygenic scores. Nevertheless, penetrance estimates for monogenic variant carriers average 60\% or lower for most conditions. We assess epidemiologic and genetic factors contributing to risk prediction in monogenic variant carriers, demonstrating that inclusion of polygenic variation significantly improves biomarker estimation for two monogenic dyslipidemias.

}, keywords = {Adult, Biological Variation, Population, Biomarkers, Diabetes Mellitus, Type 2, Dyslipidemias, Exome, Genetic Predisposition to Disease, Genotype, Humans, Multifactorial Inheritance, Penetrance, Risk Assessment}, issn = {2041-1723}, doi = {10.1038/s41467-021-23556-4}, author = {Goodrich, Julia K and Singer-Berk, Moriel and Son, Rachel and Sveden, Abigail and Wood, Jordan and England, Eleina and Cole, Joanne B and Weisburd, Ben and Watts, Nick and Caulkins, Lizz and Dornbos, Peter and Koesterer, Ryan and Zappala, Zachary and Zhang, Haichen and Maloney, Kristin A and Dahl, Andy and Aguilar-Salinas, Carlos A and Atzmon, Gil and Barajas-Olmos, Francisco and Barzilai, Nir and Blangero, John and Boerwinkle, Eric and Bonnycastle, Lori L and Bottinger, Erwin and Bowden, Donald W and Centeno-Cruz, Federico and Chambers, John C and Chami, Nathalie and Chan, Edmund and Chan, Juliana and Cheng, Ching-Yu and Cho, Yoon Shin and Contreras-Cubas, Cecilia and C{\'o}rdova, Emilio and Correa, Adolfo and DeFronzo, Ralph A and Duggirala, Ravindranath and Dupuis, Jos{\'e}e and Garay-Sevilla, Ma Eugenia and Garc{\'\i}a-Ortiz, Humberto and Gieger, Christian and Glaser, Benjamin and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez, Ma Elena and Grarup, Niels and Groop, Leif and Gross, Myron and Haiman, Christopher and Han, Sohee and Hanis, Craig L and Hansen, Torben and Heard-Costa, Nancy L and Henderson, Brian E and Hernandez, Juan Manuel Malacara and Hwang, Mi Yeong and Islas-Andrade, Sergio and J{\o}rgensen, Marit E and Kang, Hyun Min and Kim, Bong-Jo and Kim, Young Jin and Koistinen, Heikki A and Kooner, Jaspal Singh and Kuusisto, Johanna and Kwak, Soo-Heon and Laakso, Markku and Lange, Leslie and Lee, Jong-Young and Lee, Juyoung and Lehman, Donna M and Linneberg, Allan and Liu, Jianjun and Loos, Ruth J F and Lyssenko, Valeriya and Ma, Ronald C W and Mart{\'\i}nez-Hern{\'a}ndez, Ang{\'e}lica and Meigs, James B and Meitinger, Thomas and Mendoza-Caamal, Elvia and Mohlke, Karen L and Morris, Andrew D and Morrison, Alanna C and Ng, Maggie C Y and Nilsson, Peter M and O{\textquoteright}Donnell, Christopher J and Orozco, Lorena and Palmer, Colin N A and Park, Kyong Soo and Post, Wendy S and Pedersen, Oluf and Preuss, Michael and Psaty, Bruce M and Reiner, Alexander P and Revilla-Monsalve, Cristina and Rich, Stephen S and Rotter, Jerome I and Saleheen, Danish and Schurmann, Claudia and Sim, Xueling and Sladek, Rob and Small, Kerrin S and So, Wing Yee and Spector, Timothy D and Strauch, Konstantin and Strom, Tim M and Tai, E Shyong and Tam, Claudia H T and Teo, Yik Ying and Thameem, Farook and Tomlinson, Brian and Tracy, Russell P and Tuomi, Tiinamaija and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and van Dam, Rob M and Vasan, Ramachandran S and Wilson, James G and Witte, Daniel R and Wong, Tien-Yin and Burtt, Noel P and Zaitlen, Noah and McCarthy, Mark I and Boehnke, Michael and Pollin, Toni I and Flannick, Jason and Mercader, Josep M and O{\textquoteright}Donnell-Luria, Anne and Baxter, Samantha and Florez, Jose C and MacArthur, Daniel G and Udler, Miriam S} } @article {8705, title = {Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry.}, journal = {Am J Hum Genet}, volume = {108}, year = {2021}, month = {2021 Apr 01}, pages = {564-582}, abstract = {

Although many loci have been associated with height in European ancestry populations, very few have been identified in African ancestry individuals. Furthermore, many of the known loci have yet to be generalized to and fine-mapped within a large-scale African ancestry sample. We performed sex-combined and sex-stratified meta-analyses in up to 52,764 individuals with height and genome-wide genotyping data from the African Ancestry Anthropometry Genetics Consortium (AAAGC). We additionally combined our African ancestry meta-analysis results with published European genome-wide association study (GWAS) data. In the African ancestry analyses, we identified three novel loci (SLC4A3, NCOA2, ECD/FAM149B1) in sex-combined results and two loci (CRB1, KLF6) in women only. In the African plus European sex-combined GWAS, we identified an additional three novel loci (RCCD1, G6PC3, CEP95) which were equally driven by AAAGC and European results. Among 39 genome-wide significant signals at known loci, conditioning index SNPs from European studies identified 20 secondary signals. Two of the 20 new secondary signals and none of the 8 novel loci had minor allele frequencies (MAF) < 5\%. Of 802 known European height signals, 643 displayed directionally consistent associations with height, of which 205 were nominally significant (p < 0.05) in the African ancestry sex-combined sample. Furthermore, 148 of 241 loci contained <=20 variants in the credible sets that jointly account for 99\% of the posterior probability of driving the associations. In summary, trans-ethnic meta-analyses revealed novel signals and further improved fine-mapping of putative causal variants in loci shared between African and European ancestry populations.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.02.011}, author = {Graff, Mariaelisa and Justice, Anne E and Young, Kristin L and Marouli, Eirini and Zhang, Xinruo and Fine, Rebecca S and Lim, Elise and Buchanan, Victoria and Rand, Kristin and Feitosa, Mary F and Wojczynski, Mary K and Yanek, Lisa R and Shao, Yaming and Rohde, Rebecca and Adeyemo, Adebowale A and Aldrich, Melinda C and Allison, Matthew A and Ambrosone, Christine B and Ambs, Stefan and Amos, Christopher and Arnett, Donna K and Atwood, Larry and Bandera, Elisa V and Bartz, Traci and Becker, Diane M and Berndt, Sonja I and Bernstein, Leslie and Bielak, Lawrence F and Blot, William J and Bottinger, Erwin P and Bowden, Donald W and Bradfield, Jonathan P and Brody, Jennifer A and Broeckel, Ulrich and Burke, Gregory and Cade, Brian E and Cai, Qiuyin and Caporaso, Neil and Carlson, Chris and Carpten, John and Casey, Graham and Chanock, Stephen J and Chen, Guanjie and Chen, Minhui and Chen, Yii-der I and Chen, Wei-Min and Chesi, Alessandra and Chiang, Charleston W K and Chu, Lisa and Coetzee, Gerry A and Conti, David V and Cooper, Richard S and Cushman, Mary and Demerath, Ellen and Deming, Sandra L and Dimitrov, Latchezar and Ding, Jingzhong and Diver, W Ryan and Duan, Qing and Evans, Michele K and Falusi, Adeyinka G and Faul, Jessica D and Fornage, Myriam and Fox, Caroline and Freedman, Barry I and Garcia, Melissa and Gillanders, Elizabeth M and Goodman, Phyllis and Gottesman, Omri and Grant, Struan F A and Guo, Xiuqing and Hakonarson, Hakon and Haritunians, Talin and Harris, Tamara B and Harris, Curtis C and Henderson, Brian E and Hennis, Anselm and Hernandez, Dena G and Hirschhorn, Joel N and McNeill, Lorna Haughton and Howard, Timothy D and Howard, Barbara and Hsing, Ann W and Hsu, Yu-Han H and Hu, Jennifer J and Huff, Chad D and Huo, Dezheng and Ingles, Sue A and Irvin, Marguerite R and John, Esther M and Johnson, Karen C and Jordan, Joanne M and Kabagambe, Edmond K and Kang, Sun J and Kardia, Sharon L and Keating, Brendan J and Kittles, Rick A and Klein, Eric A and Kolb, Suzanne and Kolonel, Laurence N and Kooperberg, Charles and Kuller, Lewis and Kutlar, Abdullah and Lange, Leslie and Langefeld, Carl D and Le Marchand, Lo{\"\i}c and Leonard, Hampton and Lettre, Guillaume and Levin, Albert M and Li, Yun and Li, Jin and Liu, Yongmei and Liu, Youfang and Liu, Simin and Lohman, Kurt and Lotay, Vaneet and Lu, Yingchang and Maixner, William and Manson, JoAnn E and McKnight, Barbara and Meng, Yan and Monda, Keri L and Monroe, Kris and Moore, Jason H and Mosley, Thomas H and Mudgal, Poorva and Murphy, Adam B and Nadukuru, Rajiv and Nalls, Mike A and Nathanson, Katherine L and Nayak, Uma and N{\textquoteright}diaye, Amidou and Nemesure, Barbara and Neslund-Dudas, Christine and Neuhouser, Marian L and Nyante, Sarah and Ochs-Balcom, Heather and Ogundiran, Temidayo O and Ogunniyi, Adesola and Ojengbede, Oladosu and Okut, Hayrettin and Olopade, Olufunmilayo I and Olshan, Andrew and Padhukasahasram, Badri and Palmer, Julie and Palmer, Cameron D and Palmer, Nicholette D and Papanicolaou, George and Patel, Sanjay R and Pettaway, Curtis A and Peyser, Patricia A and Press, Michael F and Rao, D C and Rasmussen-Torvik, Laura J and Redline, Susan and Reiner, Alex P and Rhie, Suhn K and Rodriguez-Gil, Jorge L and Rotimi, Charles N and Rotter, Jerome I and Ruiz-Narvaez, Edward A and Rybicki, Benjamin A and Salako, Babatunde and Sale, Mich{\`e}le M and Sanderson, Maureen and Schadt, Eric and Schreiner, Pamela J and Schurmann, Claudia and Schwartz, Ann G and Shriner, Daniel A and Signorello, Lisa B and Singleton, Andrew B and Siscovick, David S and Smith, Jennifer A and Smith, Shad and Speliotes, Elizabeth and Spitz, Margaret and Stanford, Janet L and Stevens, Victoria L and Stram, Alex and Strom, Sara S and Sucheston, Lara and Sun, Yan V and Tajuddin, Salman M and Taylor, Herman and Taylor, Kira and Tayo, Bamidele O and Thun, Michael J and Tucker, Margaret A and Vaidya, Dhananjay and Van Den Berg, David J and Vedantam, Sailaja and Vitolins, Mara and Wang, Zhaoming and Ware, Erin B and Wassertheil-Smoller, Sylvia and Weir, David R and Wiencke, John K and Williams, Scott M and Williams, L Keoki and Wilson, James G and Witte, John S and Wrensch, Margaret and Wu, Xifeng and Yao, Jie and Zakai, Neil and Zanetti, Krista and Zemel, Babette S and Zhao, Wei and Zhao, Jing Hua and Zheng, Wei and Zhi, Degui and Zhou, Jie and Zhu, Xiaofeng and Ziegler, Regina G and Zmuda, Joe and Zonderman, Alan B and Psaty, Bruce M and Borecki, Ingrid B and Cupples, L Adrienne and Liu, Ching-Ti and Haiman, Christopher A and Loos, Ruth and Ng, Maggie C Y and North, Kari E} } @article {8770, title = {Estimating Systolic Blood Pressure Intervention Trial Participant Posttrial Survival Using Pooled Epidemiologic Cohort Data.}, journal = {J Am Heart Assoc}, volume = {10}, year = {2021}, month = {2021 May 18}, pages = {e020361}, abstract = {

Background Intensive systolic blood pressure treatment (<120~mm~Hg) in SPRINT (Systolic Blood Pressure Intervention Trial) improved survival compared with standard treatment (<140~mm~Hg) over a median follow-up of 3.3~years. We projected life expectancy after observed follow-up in SPRINT using SPRINT-eligible participants in the NHLBI-PCS (National Heart, Lung, and Blood Institute Pooled Cohorts Study). Methods and Results We used propensity scores to weight SPRINT-eligible NHLBI-PCS participants to resemble SPRINT participants. In SPRINT participants, we estimated in-trial survival (<4~years) using a time-based flexible parametric survival model. In SPRINT-eligible NHLBI-PCS participants, we estimated posttrial survival (>=4~years) using an age-based flexible parametric survival model and applied the formula to SPRINT participants to predict posttrial survival. We projected overall life expectancy for each SPRINT participant and compared it to parametric regression (eg, Gompertz) projections based on SPRINT data alone. We included 8584 SPRINT and 10~593 SPRINT-eligible NHLBI-PCS participants. After propensity weighting, mean (SD) age was 67.9 (9.4) and 68.2 (8.8) years, and 35.5\% and 37.6\% were women in SPRINT and NHLBI-PCS, respectively. Using the NHLBI-PCS-based method, projected mean life expectancy from randomization was 21.0 (7.4) years with intensive and 19.1 (7.2) years with standard treatment. Using the Gompertz regression, life expectancy was 11.2 (2.3) years with intensive and 10.5 (2.2) years with standard treatment. Conclusions Combining SPRINT and NHLBI-PCS observed data likely offers a more realistic estimate of life expectancy than parametrically extrapolating SPRINT data alone. These results offer insight into the potential long-term effectiveness of intensive SBP goals.

}, issn = {2047-9980}, doi = {10.1161/JAHA.120.020361}, author = {Bellows, Brandon K and Zhang, Yiyi and Zhang, Zugui and Lloyd-Jones, Donald M and Bress, Adam P and King, Jordan B and Kolm, Paul and Cushman, William C and Johnson, Karen C and Tamariz, Leonardo and Oelsner, Elizabeth C and Shea, Steven and Newman, Anne B and Ives, Diane G and Couper, David and Moran, Andrew E and Weintraub, William S} } @article {8791, title = {FGL1 as a modulator of plasma D-dimer levels: Exome-wide marker analysis of plasma tPA, PAI-1, and D-dimer.}, journal = {J Thromb Haemost}, year = {2021}, month = {2021 Apr 20}, abstract = {

BACKGROUND: Use of targeted exome-arrays with common, rare variants and functionally enriched variation has led to discovery of new genes contributing to population variation in risk factors. Plasminogen activator-inhibitor 1 (PAI-1), tissue plasminogen activator (tPA), and the plasma product D-dimer are important components of the fibrinolytic system. There have been few large-scale genome-wide or exome-wide studies of PAI-1, tPA, and D-dimer.

OBJECTIVES: We sought to discover new genetic loci contributing to variation in these traits using an exome-array approach.

METHODS: Cohort-level analyses and fixed effects meta-analyses of PAI-1 (n~=~15~603), tPA (n~=~6876,) and D-dimer (n~=~19~306) from 12 cohorts of European ancestry with diverse study design were conducted, including single-variant analyses and gene-based burden testing.

RESULTS: Five variants located in NME7, FGL1, and the fibrinogen locus, all associated with D-dimer levels, achieved genome-wide significance (P~<~5~{\texttimes}~10 ). Replication was sought for these 5 variants, as well as 45 well-imputed variants with P~<~1~{\texttimes}~10 in the discovery using an independent cohort. Replication was observed for three out of the five significant associations, including a novel and uncommon (0.013 allele frequency) coding variant p.Trp256Leu in FGL1 (fibrinogen-like-1) with increased plasma D-dimer levels. Additionally, a candidate-gene approach revealed a suggestive association for a coding variant (rs143202684-C) in SERPINB2, and suggestive associations with consistent effect in the replication analysis include an intronic variant (rs11057830-A) in SCARB1 associated with increased D-dimer levels.

CONCLUSION: This work provides new evidence for a role of FGL1 in hemostasis.

}, issn = {1538-7836}, doi = {10.1111/jth.15345}, author = {Thibord, Florian and Song, Ci and Pattee, Jack and Rodriguez, Benjamin A T and Chen, Ming-Huei and O{\textquoteright}Donnell, Christopher J and Kleber, Marcus E and Delgado, Graciela E and Guo, Xiuqing and Yao, Jie and Taylor, Kent D and Ozel, Ayse Bilge and Brody, Jennifer A and McKnight, Barbara and Gyorgy, Beata and Simonsick, Eleanor and Leonard, Hampton L and Carrasquilla, Germ{\'a}n D and Guindo-Martinez, Marta and Silveira, Angela and Temprano-Sagrera, Gerard and Yanek, Lisa R and Becker, Diane M and Mathias, Rasika A and Becker, Lewis C and Raffield, Laura M and Kilpel{\"a}inen, Tuomas O and Grarup, Niels and Pedersen, Oluf and Hansen, Torben and Linneberg, Allan and Hamsten, Anders and Watkins, Hugh and Sabater-Lleal, Maria and Nalls, Mike A and Tr{\'e}gou{\"e}t, David-Alexandre and Morange, Pierre-Emmanuel and Psaty, Bruce M and Tracy, Russel P and Smith, Nicholas L and Desch, Karl C and Cushman, Mary and Rotter, Jerome I and de Vries, Paul S and Pankratz, Nathan D and Folsom, Aaron R and Morrison, Alanna C and M{\"a}rz, Winfried and Tang, Weihong and Johnson, Andrew D} } @article {8835, title = {Genetic insights into biological mechanisms governing human ovarian ageing.}, journal = {Nature}, volume = {596}, year = {2021}, month = {2021 Aug}, pages = {393-397}, abstract = {

Reproductive longevity is essential for fertility and influences healthy ageing in women, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1\% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.

}, issn = {1476-4687}, doi = {10.1038/s41586-021-03779-7}, author = {Ruth, Katherine S and Day, Felix R and Hussain, Jazib and Mart{\'\i}nez-Marchal, Ana and Aiken, Catherine E and Azad, Ajuna and Thompson, Deborah J and Knoblochova, Lucie and Abe, Hironori and Tarry-Adkins, Jane L and Gonzalez, Javier Martin and Fontanillas, Pierre and Claringbould, Annique and Bakker, Olivier B and Sulem, Patrick and Walters, Robin G and Terao, Chikashi and Turon, Sandra and Horikoshi, Momoko and Lin, Kuang and Onland-Moret, N Charlotte and Sankar, Aditya and Hertz, Emil Peter Thrane and Timshel, Pascal N and Shukla, Vallari and Borup, Rehannah and Olsen, Kristina W and Aguilera, Paula and Ferrer-Roda, M{\`o}nica and Huang, Yan and Stankovic, Stasa and Timmers, Paul R H J and Ahearn, Thomas U and Alizadeh, Behrooz Z and Naderi, Elnaz and Andrulis, Irene L and Arnold, Alice M and Aronson, Kristan J and Augustinsson, Annelie and Bandinelli, Stefania and Barbieri, Caterina M and Beaumont, Robin N and Becher, Heiko and Beckmann, Matthias W and Benonisdottir, Stefania and Bergmann, Sven and Bochud, Murielle and Boerwinkle, Eric and Bojesen, Stig E and Bolla, Manjeet K and Boomsma, Dorret I and Bowker, Nicholas and Brody, Jennifer A and Broer, Linda and Buring, Julie E and Campbell, Archie and Campbell, Harry and Castelao, Jose E and Catamo, Eulalia and Chanock, Stephen J and Chenevix-Trench, Georgia and Ciullo, Marina and Corre, Tanguy and Couch, Fergus J and Cox, Angela and Crisponi, Laura and Cross, Simon S and Cucca, Francesco and Czene, Kamila and Smith, George Davey and de Geus, Eco J C N and de Mutsert, Ren{\'e}e and De Vivo, Immaculata and Demerath, Ellen W and Dennis, Joe and Dunning, Alison M and Dwek, Miriam and Eriksson, Mikael and Esko, T{\~o}nu and Fasching, Peter A and Faul, Jessica D and Ferrucci, Luigi and Franceschini, Nora and Frayling, Timothy M and Gago-Dominguez, Manuela and Mezzavilla, Massimo and Garc{\'\i}a-Closas, Montserrat and Gieger, Christian and Giles, Graham G and Grallert, Harald and Gudbjartsson, Daniel F and Gudnason, Vilmundur and Gu{\'e}nel, Pascal and Haiman, Christopher A and H{\r a}kansson, Niclas and Hall, Per and Hayward, Caroline and He, Chunyan and He, Wei and Heiss, Gerardo and H{\o}ffding, Miya K and Hopper, John L and Hottenga, Jouke J and Hu, Frank and Hunter, David and Ikram, Mohammad A and Jackson, Rebecca D and Joaquim, Micaella D R and John, Esther M and Joshi, Peter K and Karasik, David and Kardia, Sharon L R and Kartsonaki, Christiana and Karlsson, Robert and Kitahara, Cari M and Kolcic, Ivana and Kooperberg, Charles and Kraft, Peter and Kurian, Allison W and Kutalik, Zolt{\'a}n and La Bianca, Martina and Lachance, Genevieve and Langenberg, Claudia and Launer, Lenore J and Laven, Joop S E and Lawlor, Deborah A and Le Marchand, Lo{\"\i}c and Li, Jingmei and Lindblom, Annika and Lindstr{\"o}m, Sara and Lindstrom, Tricia and Linet, Martha and Liu, Yongmei and Liu, Simin and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Magnusson, Patrik K E and Mangino, Massimo and Mannermaa, Arto and Marco, Brumat and Marten, Jonathan and Martin, Nicholas G and Mbarek, Hamdi and McKnight, Barbara and Medland, Sarah E and Meisinger, Christa and Meitinger, Thomas and Menni, Cristina and Metspalu, Andres and Milani, Lili and Milne, Roger L and Montgomery, Grant W and Mook-Kanamori, Dennis O and Mulas, Antonella and Mulligan, Anna M and Murray, Alison and Nalls, Mike A and Newman, Anne and Noordam, Raymond and Nutile, Teresa and Nyholt, Dale R and Olshan, Andrew F and Olsson, H{\r a}kan and Painter, Jodie N and Patel, Alpa V and Pedersen, Nancy L and Perjakova, Natalia and Peters, Annette and Peters, Ulrike and Pharoah, Paul D P and Polasek, Ozren and Porcu, Eleonora and Psaty, Bruce M and Rahman, Iffat and Rennert, Gad and Rennert, Hedy S and Ridker, Paul M and Ring, Susan M and Robino, Antonietta and Rose, Lynda M and Rosendaal, Frits R and Rossouw, Jacques and Rudan, Igor and Rueedi, Rico and Ruggiero, Daniela and Sala, Cinzia F and Saloustros, Emmanouil and Sandler, Dale P and Sanna, Serena and Sawyer, Elinor J and Sarnowski, Chloe and Schlessinger, David and Schmidt, Marjanka K and Schoemaker, Minouk J and Schraut, Katharina E and Scott, Christopher and Shekari, Saleh and Shrikhande, Amruta and Smith, Albert V and Smith, Blair H and Smith, Jennifer A and Sorice, Rossella and Southey, Melissa C and Spector, Tim D and Spinelli, John J and Stampfer, Meir and St{\"o}ckl, Doris and van Meurs, Joyce B J and Strauch, Konstantin and Styrkarsdottir, Unnur and Swerdlow, Anthony J and Tanaka, Toshiko and Teras, Lauren R and Teumer, Alexander and {\TH}orsteinsdottir, Unnur and Timpson, Nicholas J and Toniolo, Daniela and Traglia, Michela and Troester, Melissa A and Truong, Th{\'e}r{\`e}se and Tyrrell, Jessica and Uitterlinden, Andr{\'e} G and Ulivi, Sheila and Vachon, Celine M and Vitart, Veronique and V{\"o}lker, Uwe and Vollenweider, Peter and V{\"o}lzke, Henry and Wang, Qin and Wareham, Nicholas J and Weinberg, Clarice R and Weir, David R and Wilcox, Amber N and van Dijk, Ko Willems and Willemsen, Gonneke and Wilson, James F and Wolffenbuttel, Bruce H R and Wolk, Alicja and Wood, Andrew R and Zhao, Wei and Zygmunt, Marek and Chen, Zhengming and Li, Liming and Franke, Lude and Burgess, Stephen and Deelen, Patrick and Pers, Tune H and Gr{\o}ndahl, Marie Louise and Andersen, Claus Yding and Pujol, Anna and Lopez-Contreras, Andres J and Daniel, Jeremy A and Stefansson, Kari and Chang-Claude, Jenny and van der Schouw, Yvonne T and Lunetta, Kathryn L and Chasman, Daniel I and Easton, Douglas F and Visser, Jenny A and Ozanne, Susan E and Namekawa, Satoshi H and Solc, Petr and Murabito, Joanne M and Ong, Ken K and Hoffmann, Eva R and Murray, Anna and Roig, Ignasi and Perry, John R B} } @article {8657, title = {{Genome-Wide Association Study of Circulating Interleukin 6 Levels Identifies Novel Loci}, journal = {Hum Mol Genet}, year = {2021}, month = {Jan}, abstract = {Interleukin-6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61\%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery, and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67 428 (ndiscovery = 52 654 and nreplication = 14 774) individuals of European ancestry. The inverse variance fixed-effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on Chromosome (Chr) 2q14, (pcombined = 1.8 {\texttimes} 10-11), HLA-DRB1/DRB5 rs660895 on Chr6p21 (pcombined = 1.5 {\texttimes} 10-10) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (pcombined = 1.2 {\texttimes} 10-122). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.}, author = {Ahluwalia, T. S. and Prins, B. P. and Abdollahi, M. and Armstrong, N. J. and Aslibekyan, S. and Bain, L. and Jefferis, B. and Baumert, J. and Beekman, M. and Ben-Shlomo, Y. and Bis, J. C. and Mitchell, B. D. and de Geus, E. and Delgado, G. E. and Marek, D. and Eriksson, J. and Kajantie, E. and Kanoni, S. and Kemp, J. P. and Lu, C. and Marioni, R. E. and McLachlan, S. and Milaneschi, Y. and Nolte, I. M. and Petrelis, A. M. and Porcu, E. and Sabater-Lleal, M. and Naderi, E. and Sepp{\"a}l{\"a}, I. and Shah, T. and Singhal, G. and Standl, M. and Teumer, A. and Thalamuthu, A. and Thiering, E. and Trompet, S. and Ballantyne, C. M. and Benjamin, E. J. and Casas, J. P. and Toben, C. and Dedoussis, G. and Deelen, J. and Durda, P. and Engmann, J. and Feitosa, M. F. and Grallert, H. and Hammarstedt, A. and Harris, S. E. and Homuth, G. and Hottenga, J. J. and Jalkanen, S. and Jamshidi, Y. and Jawahar, M. C. and Jess, T. and Kivimaki, M. and Kleber, M. E. and Lahti, J. and Liu, Y. and Marques-Vidal, P. and Mellstr{\"o}m, D. and Mooijaart, S. P. and M{\"u}ller-Nurasyid, M. and Penninx, B. and Revez, J. A. and Rossing, P. and R{\"a}ikk{\"o}nen, K. and Sattar, N. and Scharnagl, H. and Sennblad, B. and Silveira, A. and Pourcain, B. S. and Timpson, N. J. and Trollor, J. and van Dongen, J. and van Heemst, D. and Visvikis-Siest, S. and Vollenweider, P. and V{\"o}lker, U. and Waldenberger, M. and Willemsen, G. and Zabaneh, D. and Morris, R. W. and Arnett, D. K. and Baune, B. T. and Boomsma, D. I. and Chang, Y. C. and Deary, I. J. and Deloukas, P. and Eriksson, J. G. and Evans, D. M. and Ferreira, M. A. and Gaunt, T. and Gudnason, V. and Hamsten, A. and Heinrich, J. and Hingorani, A. and Humphries, S. E. and Jukema, J. W. and Koeing, W. and Kumari, M. and Kutalik, Z. and Lawlor, D. A. and Lehtim{\"a}ki, T. and M{\"a}rz, W. and Mather, K. and Naitza, S. and Nauck, M. and Ohlsson, C. and Price, J. F. and Raitakari, O. and Rice, K. and Sachdev, P. S. and Slagboom, E. and S{\o}rensen, T. I. A. and Spector, T. and Stacey, D. and Stathopoulou, M. G. and Tanaka, T. and Wannamethee, S. G. and Whincup, P. and Rotter, J. I. and Dehghan, A. and Boerwinkle, E. and Psaty, B. M. and Snieder, H. and Alizadeh, B. Z.} } @article {8660, title = {{Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {01}, pages = {654}, abstract = {Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9\% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1 p = 4 {\texttimes} 10-17), arthritis (GDF5 p = 4 {\texttimes} 10-13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.}, author = {Jones, G. and Trajanoska, K. and Santanasto, A. J. and Stringa, N. and Kuo, C. L. and Atkins, J. L. and Lewis, J. R. and Duong, T. and Hong, S. and Biggs, M. L. and Luan, J. and Sarnowski, C. and Lunetta, K. L. and Tanaka, T. and Wojczynski, M. K. and Cvejkus, R. and Nethander, M. and Ghasemi, S. and Yang, J. and Zillikens, M. C. and Walter, S. and Sicinski, K. and Kague, E. and Ackert-Bicknell, C. L. and Arking, D. E. and Windham, B. G. and Boerwinkle, E. and Grove, M. L. and Graff, M. and Spira, D. and Demuth, I. and Van der Velde, N. and de Groot, L. C. P. G. M. and Psaty, B. M. and Odden, M. C. and Fohner, A. E. and Langenberg, C. and Wareham, N. J. and Bandinelli, S. and van Schoor, N. M. and Huisman, M. and Tan, Q. and Zmuda, J. and Mellstr{\"o}m, D. and Karlsson, M. and Bennett, D. A. and Buchman, A. S. and De Jager, P. L. and Uitterlinden, A. G. and V{\"o}lker, U. and Kocher, T. and Teumer, A. and Rodrigu{\'e}z-Ma{\~n}as, L. and Garc{\'\i}a, F. J. and Carnicero, J. A. and Herd, P. and Bertram, L. and Ohlsson, C. and Murabito, J. M. and Melzer, D. and Kuchel, G. A. and Ferrucci, L. and Karasik, D. and Rivadeneira, F. and Kiel, D. P. and Pilling, L. C.} } @article {8925, title = {{The genomics of heart failure: design and rationale of the HERMES consortium}, journal = {ESC Heart Fail}, year = {2021}, month = {Sep}, abstract = {The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure.\ under an additive genetic model.\ HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction.}, author = {Lumbers, R. T. and Shah, S. and Lin, H. and Czuba, T. and Henry, A. and Swerdlow, D. I. and Malarstig, A. and Andersson, C. and Verweij, N. and Holmes, M. V. and {\"A}rnl{\"o}v, J. and Svensson, P. and Hemingway, H. and Sallah, N. and Almgren, P. and Aragam, K. G. and Asselin, G. and Backman, J. D. and Biggs, M. L. and Bloom, H. L. and Boersma, E. and Brandimarto, J. and Brown, M. R. and Brunner-La Rocca, H. P. and Carey, D. J. and Chaffin, M. D. and Chasman, D. I. and Chazara, O. and Chen, X. and Chen, X. and Chung, J. H. and Chutkow, W. and Cleland, J. G. F. and Cook, J. P. and de Denus, S. and Dehghan, A. and Delgado, G. E. and Denaxas, S. and Doney, A. S. and D{\"o}rr, M. and Dudley, S. C. and Engstr{\"o}m, G. and Esko, T. and Fatemifar, G. and Felix, S. B. and Finan, C. and Ford, I. and Fougerousse, F. and Fouodjio, R. and Ghanbari, M. and Ghasemi, S. and Giedraitis, V. and Giulianini, F. and Gottdiener, J. S. and Gross, S. and Gu{\dh}bjartsson, D. F. and Gui, H. and Gutmann, R. and Haggerty, C. M. and van der Harst, P. and Hedman, {\r A}. K. and Helgadottir, A. and Hillege, H. and Hyde, C. L. and Jacob, J. and Jukema, J. W. and Kamanu, F. and Kardys, I. and Kavousi, M. and Khaw, K. T. and Kleber, M. E. and K{\o}ber, L. and Koekemoer, A. and Kraus, B. and Kuchenbaecker, K. and Langenberg, C. and Lind, L. and Lindgren, C. M. and London, B. and Lotta, L. A. and Lovering, R. C. and Luan, J. and Magnusson, P. and Mahajan, A. and Mann, D. and Margulies, K. B. and Marston, N. A. and M{\"a}rz, W. and McMurray, J. J. V. and Melander, O. and Melloni, G. and Mordi, I. R. and Morley, M. P. and Morris, A. D. and Morris, A. P. and Morrison, A. C. and Nagle, M. W. and Nelson, C. P. and Newton-Cheh, C. and Niessner, A. and Niiranen, T. and Nowak, C. and O{\textquoteright}Donoghue, M. L. and Owens, A. T. and Palmer, C. N. A. and Pare, G. and Perola, M. and Perreault, L. L. and Portilla-Fernandez, E. and Psaty, B. M. and Rice, K. M. and Ridker, P. M. and Romaine, S. P. R. and Roselli, C. and Rotter, J. I. and Ruff, C. T. and Sabatine, M. S. and Salo, P. and Salomaa, V. and van Setten, J. and Shalaby, A. A. and Smelser, D. T. and Smith, N. L. and Stefansson, K. and Stender, S. and Stott, D. J. and Sveinbjornsson, G. and Tammesoo, M. L. and Tardif, J. C. and Taylor, K. D. and Teder-Laving, M. and Teumer, A. and Thorgeirsson, G. and Thorsteinsdottir, U. and Torp-Pedersen, C. and Trompet, S. and Tuckwell, D. and Tyl, B. and Uitterlinden, A. G. and Vaura, F. and Veluchamy, A. and Visscher, P. M. and V{\"o}lker, U. and Voors, A. A. and Wang, X. and Wareham, N. J. and Weeke, P. E. and Weiss, R. and White, H. D. and Wiggins, K. L. and Xing, H. and Yang, J. and Yang, Y. and Yerges-Armstrong, L. M. and Yu, B. and Zannad, F. and Zhao, F. and Wilk, J. B. and Holm, H. and Sattar, N. and Lubitz, S. A. and Lanfear, D. E. and Shah, S. and Dunn, M. E. and Wells, Q. S. and Asselbergs, F. W. and Hingorani, A. D. and Dub{\'e}, M. P. and Samani, N. J. and Lang, C. C. and Cappola, T. P. and Ellinor, P. T. and Vasan, R. S. and Smith, J. G.} } @article {8836, title = {Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program.}, journal = {PLoS One}, volume = {16}, year = {2021}, month = {2021}, pages = {e0253611}, abstract = {

Handgrip strength is a widely used measure of muscle strength and a predictor of a range of morbidities including cardiovascular diseases and all-cause mortality. Previous genome-wide association studies of handgrip strength have focused on common variants primarily in persons of European descent. We aimed to identify rare and ancestry-specific genetic variants associated with handgrip strength by conducting whole-genome sequence association analyses using 13,552 participants from six studies representing diverse population groups from the Trans-Omics in Precision Medicine (TOPMed) Program. By leveraging multiple handgrip strength measures performed in study participants over time, we increased our effective sample size by 7-12\%. Single-variant analyses identified ten handgrip strength loci among African-Americans: four rare variants, five low-frequency variants, and one common variant. One significant and four suggestive genes were identified associated with handgrip strength when aggregating rare and functional variants; all associations were ancestry-specific. We additionally leveraged the different ancestries available in the UK Biobank to further explore the ancestry-specific association signals from the single-variant association analyses. In conclusion, our study identified 11 new loci associated with handgrip strength with rare and/or ancestry-specific genetic variations, highlighting the added value of whole-genome sequencing in diverse samples. Several of the associations identified using single-variant or aggregate analyses lie in genes with a function relevant to the brain or muscle or were reported to be associated with muscle or age-related traits. Further studies in samples with sequence data and diverse ancestries are needed to confirm these findings.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0253611}, author = {Sarnowski, Chloe and Chen, Han and Biggs, Mary L and Wassertheil-Smoller, Sylvia and Bressler, Jan and Irvin, Marguerite R and Ryan, Kathleen A and Karasik, David and Arnett, Donna K and Cupples, L Adrienne and Fardo, David W and Gogarten, Stephanie M and Heavner, Benjamin D and Jain, Deepti and Kang, Hyun Min and Kooperberg, Charles and Mainous, Arch G and Mitchell, Braxton D and Morrison, Alanna C and O{\textquoteright}Connell, Jeffrey R and Psaty, Bruce M and Rice, Kenneth and Smith, Albert V and Vasan, Ramachandran S and Windham, B Gwen and Kiel, Douglas P and Murabito, Joanne M and Lunetta, Kathryn L} } @article {8831, title = {Longitudinal Plasma Measures of Trimethylamine N-Oxide and Risk of Atherosclerotic Cardiovascular Disease Events in Community-Based Older Adults.}, journal = {J Am Heart Assoc}, year = {2021}, month = {2021 Aug 16}, pages = {e020646}, abstract = {

Background Trimethylamine N-oxide (TMAO) is a gut microbiota-dependent metabolite of dietary choline, L-carnitine, and phosphatidylcholine-rich foods. On the basis of experimental studies and patients with prevalent disease, elevated plasma TMAO may increase risk of atherosclerotic cardiovascular disease (ASCVD). TMAO is also renally cleared and may interact with and causally contribute to renal dysfunction. Yet, how serial TMAO levels relate to incident and recurrent ASCVD in community-based populations and the potential mediating or modifying role of renal function are not established. Methods and Results We investigated associations of serial measures of plasma TMAO, assessed at baseline and 7~years, with incident and recurrent ASCVD in a community-based cohort of 4131 (incident) and 1449 (recurrent) older US adults. TMAO was measured using stable isotope dilution liquid chromatography-tandem mass spectrometry (laboratory coefficient of variation, <6\%). Incident ASCVD (myocardial infarction, fatal coronary heart disease, stroke, sudden cardiac death, or other atherosclerotic death) was centrally adjudicated using medical records. Risk was assessed by multivariable Cox proportional hazards regression, including time-varying demographics, lifestyle factors, medical history, laboratory measures, and dietary habits. Potential mediating effects and interaction by estimated glomerular filtration rate (eGFR) were assessed. During prospective follow-up, 1766 incident and 897 recurrent ASCVD events occurred. After multivariable adjustment, higher levels of TMAO were associated with a higher risk of incident ASCVD, with extreme quintile hazard ratio (HR) compared with the lowest quintile=1.21 (95\% CI, 1.02-1.42; -trend=0.029). This relationship appeared mediated or confounded by eGFR (eGFR-adjusted HR, 1.07; 95\% CI, 0.90-1.27), as well as modified by eGFR (-interaction <0.001). High levels of TMAO were associated with higher incidence of ASCVD in the presence of impaired renal function (eGFR <60~mL/min per 1.73~m: HR, 1.56 [95\% CI, 1.13-2.14]; -trend=0.007), but not normal or mildly reduced renal function (eGFR >=60~mL/min per 1.73~m: HR, 1.03 [95\% CI, 0.85-1.25]; -trend=0.668). Among individuals with prior ASCVD, TMAO associated with higher risk of recurrent ASCVD (HR, 1.25 [95\% CI, 1.01-1.56]; -trend=0.009), without significant modification by eGFR. Conclusions In this large community-based cohort of older US adults, serial measures of TMAO were associated with higher risk of incident ASCVD, with apparent modification by presence of impaired renal function and with higher risk of recurrent ASCVD.

}, issn = {2047-9980}, doi = {10.1161/JAHA.120.020646}, author = {Lee, Yujin and Nemet, Ina and Wang, Zeneng and Lai, Heidi T M and de Oliveira Otto, Marcia C and Lemaitre, Rozenn N and Fretts, Amanda M and Sotoodehnia, Nona and Budoff, Matthew and DiDonato, Joseph A and McKnight, Barbara and Tang, W H Wilson and Psaty, Bruce M and Siscovick, David S and Hazen, Stanley L and Mozaffarian, Dariush} } @article {8789, title = {Meta-analysis of epigenome-wide association studies of carotid intima-media thickness.}, journal = {Eur J Epidemiol}, year = {2021}, month = {2021 Jun 06}, abstract = {

Common carotid intima-media thickness (cIMT) is an index of subclinical atherosclerosis that is associated with ischemic stroke and coronary artery disease (CAD). We undertook a cross-sectional epigenome-wide association study (EWAS) of measures of cIMT in 6400 individuals. Mendelian randomization analysis was applied to investigate the potential causal role of DNA methylation in the link between atherosclerotic cardiovascular risk factors and cIMT or clinical cardiovascular disease. The CpG site cg05575921 was associated with cIMT (beta = -0.0264, p value = 3.5 {\texttimes} 10) in the discovery panel and was replicated in replication panel (beta = -0.07, p value = 0.005). This CpG is located at chr5:81649347 in the intron 3 of the aryl hydrocarbon receptor repressor gene (AHRR). Our results indicate that DNA methylation at cg05575921 might be in the pathway between smoking, cIMT and stroke. Moreover, in a region-based analysis, 34 differentially methylated regions (DMRs) were identified of which a DMR upstream of ALOX12 showed the strongest association with cIMT (p value = 1.4 {\texttimes} 10). In conclusion, our study suggests that DNA methylation may play a role in the link between cardiovascular risk factors, cIMT and clinical cardiovascular disease.

}, issn = {1573-7284}, doi = {10.1007/s10654-021-00759-z}, author = {Portilla-Fern{\'a}ndez, Eliana and Hwang, Shih-Jen and Wilson, Rory and Maddock, Jane and Hill, W David and Teumer, Alexander and Mishra, Pashupati P and Brody, Jennifer A and Joehanes, Roby and Ligthart, Symen and Ghanbari, Mohsen and Kavousi, Maryam and Roks, Anton J M and Danser, A H Jan and Levy, Daniel and Peters, Annette and Ghasemi, Sahar and Schminke, Ulf and D{\"o}rr, Marcus and Grabe, Hans J and Lehtim{\"a}ki, Terho and K{\"a}h{\"o}nen, Mika and Hurme, Mikko A and Bartz, Traci M and Sotoodehnia, Nona and Bis, Joshua C and Thiery, Joachim and Koenig, Wolfgang and Ong, Ken K and Bell, Jordana T and Meisinger, Christine and Wardlaw, Joanna M and Starr, John M and Seissler, Jochen and Then, Cornelia and Rathmann, Wolfgang and Ikram, M Arfan and Psaty, Bruce M and Raitakari, Olli T and V{\"o}lzke, Henry and Deary, Ian J and Wong, Andrew and Waldenberger, Melanie and O{\textquoteright}Donnell, Christopher J and Dehghan, Abbas} } @article {9005, title = {Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits.}, journal = {HGG Adv}, volume = {2}, year = {2021}, month = {2021 Jan 14}, abstract = {

Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from 5 ancestry groups. In the combined meta-analyses of Stages 1 and 2, we identified 59 loci (p value <5e-8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (), synaptic function and neurotransmission (), as well as genes previously implicated in neuropsychiatric or stress-related disorders (). These findings underscore the importance of considering psychological and social factors in gene discovery for BP, especially in non-European populations.

}, issn = {2666-2477}, doi = {10.1016/j.xhgg.2020.100013}, author = {Sun, Daokun and Richard, Melissa and Musani, Solomon K and Sung, Yun Ju and Winkler, Thomas W and Schwander, Karen and Chai, Jin Fang and Guo, Xiuqing and Kilpel{\"a}inen, Tuomas O and Vojinovic, Dina and Aschard, Hugues and Bartz, Traci M and Bielak, Lawrence F and Brown, Michael R and Chitrala, Kumaraswamy and Hartwig, Fernando P and Horimoto, Andrea R V R and Liu, Yongmei and Manning, Alisa K and Noordam, Raymond and Smith, Albert V and Harris, Sarah E and Kuhnel, Brigitte and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Rauramaa, Rainer and van der Most, Peter J and Wang, Rujia and Ware, Erin B and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Arking, Dan E and Arnett, Donna K and Barac, Ana and Boerwinkle, Eric and Broeckel, Ulrich and Chakravarti, Aravinda and Chen, Yii-Der Ida and Cupples, L Adrienne and Davigulus, Martha L and de Las Fuentes, Lisa and de Mutsert, Ren{\'e}e and de Vries, Paul S and Delaney, Joseph A C and Roux, Ana V Diez and D{\"o}rr, Marcus and Faul, Jessica D and Fretts, Amanda M and Gallo, Linda C and Grabe, Hans J{\"o}rgen and Gu, C Charles and Harris, Tamara B and Hartman, Catharina C A and Heikkinen, Sami and Ikram, M Arfan and Isasi, Carmen and Johnson, W Craig and Jonas, Jost Bruno and Kaplan, Robert C and Komulainen, Pirjo and Krieger, Jose E and Levy, Daniel and Liu, Jianjun and Lohman, Kurt and Luik, Annemarie I and Martin, Lisa W and Meitinger, Thomas and Milaneschi, Yuri and O{\textquoteright}Connell, Jeff R and Palmas, Walter R and Peters, Annette and Peyser, Patricia A and Pulkki-R{\r a}back, Laura and Raffel, Leslie J and Reiner, Alex P and Rice, Kenneth and Robinson, Jennifer G and Rosendaal, Frits R and Schmidt, Carsten Oliver and Schreiner, Pamela J and Schwettmann, Lars and Shikany, James M and Shu, Xiao-Ou and Sidney, Stephen and Sims, Mario and Smith, Jennifer A and Sotoodehnia, Nona and Strauch, Konstantin and Tai, E Shyong and Taylor, Kent and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Waldenberger, Melanie and Wee, Hwee-Lin and Wei, Wen-Bin and Wilson, Gregory and Xuan, Deng and Yao, Jie and Zeng, Donglin and Zhao, Wei and Zhu, Xiaofeng and Zonderman, Alan B and Becker, Diane M and Deary, Ian J and Gieger, Christian and Lakka, Timo A and Lehtim{\"a}ki, Terho and North, Kari E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Snieder, Harold and Wang, Ya-Xing and Weir, David R and Zheng, Wei and Evans, Michele K and Gauderman, W James and Gudnason, Vilmundur and Horta, Bernardo L and Liu, Ching-Ti and Mook-Kanamori, Dennis O and Morrison, Alanna C and Pereira, Alexandre C and Psaty, Bruce M and Amin, Najaf and Fox, Ervin R and Kooperberg, Charles and Sim, Xueling and Bierut, Laura and Rotter, Jerome I and Kardia, Sharon L R and Franceschini, Nora and Rao, Dabeeru C and Fornage, Myriam} } @article {8714, title = {Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure.}, journal = {Mol Psychiatry}, year = {2021}, month = {2021 Apr 15}, abstract = {

Long and short sleep duration are associated with elevated blood pressure (BP), possibly through effects on molecular pathways that influence neuroendocrine and vascular systems. To gain new insights into the genetic basis of sleep-related BP variation, we performed genome-wide gene by short or long sleep duration interaction analyses on four BP traits (systolic BP, diastolic BP, mean arterial pressure, and pulse pressure) across five ancestry groups in two stages using 2 degree of freedom (df) joint test followed by 1df test of interaction effects. Primary multi-ancestry analysis in 62,969 individuals in stage 1 identified three novel gene by sleep interactions that were replicated in an additional 59,296 individuals in stage 2 (stage 1 + 2 P < 5 {\texttimes} 10), including rs7955964 (FIGNL2/ANKRD33) that increases BP among long sleepers, and rs73493041 (SNORA26/C9orf170) and rs10406644 (KCTD15/LSM14A) that increase BP among short sleepers (P < 5 {\texttimes} 10). Secondary ancestry-specific analysis identified another novel gene by long sleep interaction at rs111887471 (TRPC3/KIAA1109) in individuals of African ancestry (P = 2 {\texttimes} 10). Combined stage 1 and 2 analyses additionally identified significant gene by long sleep interactions at 10 loci including MKLN1 and RGL3/ELAVL3 previously associated with BP, and significant gene by short sleep interactions at 10 loci including C2orf43 previously associated with BP (P < 10). 2df test also identified novel loci for BP after modeling sleep that has known functions in sleep-wake regulation, nervous and cardiometabolic systems. This study indicates that sleep and primary mechanisms regulating BP may interact to elevate BP level, suggesting novel insights into sleep-related BP regulation.

}, issn = {1476-5578}, doi = {10.1038/s41380-021-01087-0}, author = {Wang, Heming and Noordam, Raymond and Cade, Brian E and Schwander, Karen and Winkler, Thomas W and Lee, Jiwon and Sung, Yun Ju and Bentley, Amy R and Manning, Alisa K and Aschard, Hugues and Kilpel{\"a}inen, Tuomas O and Ilkov, Marjan and Brown, Michael R and Horimoto, Andrea R and Richard, Melissa and Bartz, Traci M and Vojinovic, Dina and Lim, Elise and Nierenberg, Jovia L and Liu, Yongmei and Chitrala, Kumaraswamynaidu and Rankinen, Tuomo and Musani, Solomon K and Franceschini, Nora and Rauramaa, Rainer and Alver, Maris and Zee, Phyllis C and Harris, Sarah E and van der Most, Peter J and Nolte, Ilja M and Munroe, Patricia B and Palmer, Nicholette D and Kuhnel, Brigitte and Weiss, Stefan and Wen, Wanqing and Hall, Kelly A and Lyytik{\"a}inen, Leo-Pekka and O{\textquoteright}Connell, Jeff and Eiriksdottir, Gudny and Launer, Lenore J and de Vries, Paul S and Arking, Dan E and Chen, Han and Boerwinkle, Eric and Krieger, Jose E and Schreiner, Pamela J and Sidney, Stephen and Shikany, James M and Rice, Kenneth and Chen, Yii-Der Ida and Gharib, Sina A and Bis, Joshua C and Luik, Annemarie I and Ikram, M Arfan and Uitterlinden, Andr{\'e} G and Amin, Najaf and Xu, Hanfei and Levy, Daniel and He, Jiang and Lohman, Kurt K and Zonderman, Alan B and Rice, Treva K and Sims, Mario and Wilson, Gregory and Sofer, Tamar and Rich, Stephen S and Palmas, Walter and Yao, Jie and Guo, Xiuqing and Rotter, Jerome I and Biermasz, Nienke R and Mook-Kanamori, Dennis O and Martin, Lisa W and Barac, Ana and Wallace, Robert B and Gottlieb, Daniel J and Komulainen, Pirjo and Heikkinen, Sami and M{\"a}gi, Reedik and Milani, Lili and Metspalu, Andres and Starr, John M and Milaneschi, Yuri and Waken, R J and Gao, Chuan and Waldenberger, Melanie and Peters, Annette and Strauch, Konstantin and Meitinger, Thomas and Roenneberg, Till and V{\"o}lker, Uwe and D{\"o}rr, Marcus and Shu, Xiao-Ou and Mukherjee, Sutapa and Hillman, David R and K{\"a}h{\"o}nen, Mika and Wagenknecht, Lynne E and Gieger, Christian and Grabe, Hans J and Zheng, Wei and Palmer, Lyle J and Lehtim{\"a}ki, Terho and Gudnason, Vilmundur and Morrison, Alanna C and Pereira, Alexandre C and Fornage, Myriam and Psaty, Bruce M and van Duijn, Cornelia M and Liu, Ching-Ti and Kelly, Tanika N and Evans, Michele K and Bouchard, Claude and Fox, Ervin R and Kooperberg, Charles and Zhu, Xiaofeng and Lakka, Timo A and Esko, T{\~o}nu and North, Kari E and Deary, Ian J and Snieder, Harold and Penninx, Brenda W J H and Gauderman, W James and Rao, Dabeeru C and Redline, Susan and van Heemst, Diana} } @article {8781, title = {{A multi-ethnic epigenome-wide association study of leukocyte DNA methylation and blood lipids}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {06}, pages = {3987}, abstract = {10.1038/s41467-021-23899-yHere we examine the association between DNA methylation in circulating leukocytes and blood lipids in a multi-ethnic sample of 16,265 subjects. We identify 148, 35, and 4 novel associations among Europeans, African Americans, and Hispanics, respectively, and an additional 186 novel associations through a trans-ethnic meta-analysis. We observe a high concordance in the direction of effects across racial/ethnic groups, a high correlation of effect sizes between high-density lipoprotein and triglycerides, a modest overlap of associations with epigenome-wide association studies of other cardio-metabolic traits, and a largely non-overlap with lipid loci identified to date through genome-wide association studies. Thirty CpGs reached significance in at least 2 racial/ethnic groups including 7 that showed association with the expression of an annotated gene. CpGs annotated to CPT1A showed evidence of being influenced by triglycerides levels. DNA methylation levels of circulating leukocytes show robust and consistent association with blood lipid levels across multiple racial/ethnic groups.}, author = {Jhun, M. A. and Mendelson, M. and Wilson, R. and Gondalia, R. and Joehanes, R. and Salfati, E. and Zhao, X. and Braun, K. V. E. and Do, A. N. and Hedman, {\r A}. K. and Zhang, T. and Carnero-Montoro, E. and Shen, J. and Bartz, T. M. and Brody, J. A. and Montasser, M. E. and O{\textquoteright}Connell, J. R. and Yao, C. and Xia, R. and Boerwinkle, E. and Grove, M. and Guan, W. and Liliane, P. and Singmann, P. and M{\"u}ller-Nurasyid, M. and Meitinger, T. and Gieger, C. and Peters, A. and Zhao, W. and Ware, E. B. and Smith, J. A. and Dhana, K. and van Meurs, J. and Uitterlinden, A. and Ikram, M. A. and Ghanbari, M. and Zhi, D. and Gustafsson, S. and Lind, L. and Li, S. and Sun, D. and Spector, T. D. and Chen, Y. I. and Damcott, C. and Shuldiner, A. R. and Absher, D. M. and Horvath, S. and Tsao, P. S. and Kardia, S. and Psaty, B. M. and Sotoodehnia, N. and Bell, J. T. and Ingelsson, E. and Chen, W. and Dehghan, A. and Arnett, D. K. and Waldenberger, M. and Hou, L. and Whitsel, E. A. and Baccarelli, A. and Levy, D. and Fornage, M. and Irvin, M. R. and Assimes, T. L.} } @article {8832, title = {Multiethnic Genome-Wide Association Study of Subclinical Atherosclerosis in Individuals With Type 2 Diabetes.}, journal = {Circ Genom Precis Med}, volume = {14}, year = {2021}, month = {2021 Aug}, pages = {e003258}, abstract = {

BACKGROUND: Coronary artery calcification (CAC) and carotid artery intima-media thickness (cIMT) are measures of subclinical atherosclerosis in asymptomatic individuals and strong risk factors for cardiovascular disease. Type 2 diabetes (T2D) is an independent cardiovascular disease risk factor that accelerates atherosclerosis.

METHODS: We performed meta-analyses of genome-wide association studies in up to 2500 T2D individuals of European ancestry (EA) and 1590 T2D individuals of African ancestry with or without exclusion of prevalent cardiovascular disease, for CAC measured by cardiac computed tomography, and 3608 individuals of EA and 838 individuals of African ancestry with T2D for cIMT measured by ultrasonography within the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium.

RESULTS: We replicated 2 loci (rs9369640 and rs9349379 near and rs10757278 near ) for CAC and one locus for cIMT (rs7412 and rs445925 near ) that were previously reported in the general EA populations. We identified one novel CAC locus (rs8000449 near at 13q13.3) at =2.0{\texttimes}10 in EA. No additional loci were identified with the meta-analyses of EA and African ancestry. The expression quantitative trait loci analysis with nearby expressed genes derived from arterial wall and metabolic tissues from the Genotype-Tissue Expression project pinpoints , encoding a matricellular protein involved in bone formation and bone matrix organization, as the potential candidate gene at this locus. In addition, we found significant associations (<3.1{\texttimes}10) for 3 previously reported coronary artery disease loci for these subclinical atherosclerotic phenotypes (rs2891168 near and rs11170820 near for CAC, and rs7412 near for cIMT).

CONCLUSIONS: Our results provide potential biological mechanisms that could link CAC and cIMT to increased cardiovascular disease risk in individuals with T2D.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.120.003258}, author = {Lu, Yingchang and Dimitrov, Latchezar and Chen, Shyh-Huei and Bielak, Lawrence F and Bis, Joshua C and Feitosa, Mary F and Lu, Lingyi and Kavousi, Maryam and Raffield, Laura M and Smith, Albert V and Wang, Lihua and Weiss, Stefan and Yao, Jie and Zhu, Jiaxi and Gudmundsson, Elias F and Gudmundsdottir, Valborg and Bos, Daniel and Ghanbari, Mohsen and Ikram, M Arfan and Hwang, Shih-Jen and Taylor, Kent D and Budoff, Matthew J and Gislason, Gauti K and O{\textquoteright}Donnell, Christopher J and An, Ping and Franceschini, Nora and Freedman, Barry I and Fu, Yi-Ping and Guo, Xiuqing and Heiss, Gerardo and Kardia, Sharon L R and Wilson, James G and Langefeld, Carl D and Schminke, Ulf and Uitterlinden, Andr{\'e} G and Lange, Leslie A and Peyser, Patricia A and Gudnason, Vilmundur G and Psaty, Bruce M and Rotter, Jerome I and Bowden, Donald W and Ng, Maggie C Y} } @article {8658, title = {Natural killer cells, gamma delta T cells and classical monocytes are associated with systolic blood pressure in the multi-ethnic study of atherosclerosis (MESA).}, journal = {BMC Cardiovasc Disord}, volume = {21}, year = {2021}, month = {2021 Jan 22}, pages = {45}, abstract = {

BACKGROUND: Hypertension is a major source of cardiovascular morbidity and mortality. Recent evidence from mouse models, genetic, and cross-sectional human studies suggest increased proportions of selected immune cell subsets may be associated with levels of systolic blood pressure (SBP).

METHODS: We assayed immune cells from cryopreserved samples collected at the baseline examination (2000-2002) from 1195 participants from the multi-ethnic study of atherosclerosis (MESA). We used linear mixed models, with adjustment for age, sex, race/ethnicity, smoking, exercise, body mass index, education, diabetes, and cytomegalovirus titers, to estimate the associations between 30 immune cell subsets (4 of which were a priori hypotheses) and repeated measures of SBP (baseline and up to four follow-up measures) over 10~years. The analysis provides estimates of the association with blood pressure level.

RESULTS: The mean age of the MESA participants at baseline was 64 {\textpm} 10~years and 53\% were male. A one standard deviation (1-SD) increment in the proportion of γδ T cells was associated with 2.40~mmHg [95\% confidence interval (CI) 1.34-3.42] higher average systolic blood pressure; and for natural killer cells, a 1-SD increment was associated with 1.88~mmHg (95\% CI 0.82-2.94) higher average level of systolic blood pressure. A 1-SD increment in classical monocytes (CD14CD16) was associated with 2.01 mmHG (95\% CI 0.79-3.24) lower average systolic blood pressure. There were no associations of CD4 T helper cell subsets with average systolic blood pressure.

CONCLUSION: These findings suggest that the innate immune system plays a role in levels of SBP whereas there were no associations with adaptive immune cells.

}, issn = {1471-2261}, doi = {10.1186/s12872-021-01857-2}, author = {Delaney, Joseph A C and Olson, Nels C and Sitlani, Colleen M and Fohner, Alison E and Huber, Sally A and Landay, Alan L and Heckbert, Susan R and Tracy, Russell P and Psaty, Bruce M and Feinstein, Matt and Doyle, Margaret F} } @article {8992, title = {{The power of genetic diversity in genome-wide association studies of lipids}, journal = {Nature}, volume = {600}, year = {2021}, month = {Dec}, pages = {675{\textendash}679}, abstract = {application of polygenic scores in clinical practice.}, author = {Graham, S. E. and Clarke, S. L. and Wu, K. H. and Kanoni, S. and Zajac, G. J. M. and Ramdas, S. and Surakka, I. and Ntalla, I. and Vedantam, S. and Winkler, T. W. and Locke, A. E. and Marouli, E. and Hwang, M. Y. and Han, S. and Narita, A. and Choudhury, A. and Bentley, A. R. and Ekoru, K. and Verma, A. and Trivedi, B. and Martin, H. C. and Hunt, K. A. and Hui, Q. and Klarin, D. and Zhu, X. and Thorleifsson, G. and Helgadottir, A. and Gudbjartsson, D. F. and Holm, H. and Olafsson, I. and Akiyama, M. and Sakaue, S. and Terao, C. and Kanai, M. and Zhou, W. and Brumpton, B. M. and Rasheed, H. and Ruotsalainen, S. E. and Havulinna, A. S. and Veturi, Y. and Feng, Q. and Rosenthal, E. A. and Lingren, T. and Pacheco, J. A. and Pendergrass, S. A. and Haessler, J. and Giulianini, F. and Bradford, Y. and Miller, J. E. and Campbell, A. and Lin, K. and Millwood, I. Y. and Hindy, G. and Rasheed, A. and Faul, J. D. and Zhao, W. and Weir, D. R. and Turman, C. and Huang, H. and Graff, M. and Mahajan, A. and Brown, M. R. and Zhang, W. and Yu, K. and Schmidt, E. M. and Pandit, A. and Gustafsson, S. and Yin, X. and Luan, J. and Zhao, J. H. and Matsuda, F. and Jang, H. M. and Yoon, K. and Medina-Gomez, C. and Pitsillides, A. and Hottenga, J. J. and Willemsen, G. and Wood, A. R. and Ji, Y. and Gao, Z. and Haworth, S. and Mitchell, R. E. and Chai, J. 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M. and Lehtim{\"a}ki, T. and Chaturvedi, N. and Yokota, M. and Liu, J. and Reilly, D. F. and McKnight, A. J. and Kee, F. and J{\"o}ckel, K. H. and McCarthy, M. I. and Palmer, C. N. A. and Vitart, V. and Hayward, C. and Simonsick, E. and van Duijn, C. M. and Lu, F. and Qu, J. and Hishigaki, H. and Lin, X. and M{\"a}rz, W. and Parra, E. J. and Cruz, M. and Gudnason, V. and Tardif, J. C. and Lettre, G. and {\textquoteright}t Hart, L. M. and Elders, P. J. M. and Damrauer, S. M. and Kumari, M. and Kivimaki, M. and van der Harst, P. and Spector, T. D. and Loos, R. J. F. and Province, M. A. and Psaty, B. M. and Brandslund, I. and Pramstaller, P. P. and Christensen, K. and Ripatti, S. and Wid{\'e}n, E. and Hakonarson, H. and Grant, S. F. A. and Kiemeney, L. A. L. M. and de Graaf, J. and Loeffler, M. and Kronenberg, F. and Gu, D. and Erdmann, J. and Schunkert, H. and Franks, P. W. and Linneberg, A. and Jukema, J. W. and Khera, A. V. and M{\"a}nnikk{\"o}, M. and Jarvelin, M. 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E. and Baras, A. and Buring, J. E. and Ridker, P. M. and Chasman, D. I. and Kooperberg, C. and Wei, W. Q. and Jarvik, G. P. and Namjou, B. and Hayes, M. G. and Ritchie, M. D. and Jousilahti, P. and Salomaa, V. and Hveem, K. and {\r A}svold, B. O. and Kubo, M. and Kamatani, Y. and Okada, Y. and Murakami, Y. and Thorsteinsdottir, U. and Stefansson, K. and Ho, Y. L. and Lynch, J. A. and Rader, D. J. and Tsao, P. S. and Chang, K. M. and Cho, K. and O{\textquoteright}Donnell, C. J. and Gaziano, J. M. and Wilson, P. and Rotimi, C. N. and Hazelhurst, S. and Ramsay, M. and Trembath, R. C. and van Heel, D. A. and Tamiya, G. and Yamamoto, M. and Kim, B. J. and Mohlke, K. L. and Frayling, T. M. and Hirschhorn, J. N. and Kathiresan, S. and Boehnke, M. and Natarajan, P. and Peloso, G. M. and Brown, C. D. and Morris, A. P. and Assimes, T. L. and Deloukas, P. and Sun, Y. V. and Willer, C. J.} } @article {8917, title = {{Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function}, journal = {Sci Rep}, volume = {11}, year = {2021}, month = {09}, pages = {19365}, abstract = {. This study investigates the utility of assessing gene-by-smoking interactions and underscores their effects on potential pulmonary function.}, author = {Yang, T. and Jackson, V. E. and Smith, A. V. and Chen, H. and Bartz, T. M. and Sitlani, C. M. and Psaty, B. M. and Gharib, S. A. and O{\textquoteright}Connor, G. T. and Dupuis, J. and Xu, J. and Lohman, K. and Liu, Y. and Kritchevsky, S. B. and Cassano, P. A. and Flexeder, C. and Gieger, C. and Karrasch, S. and Peters, A. and Schulz, H. and Harris, S. E. and Starr, J. M. and Deary, I. J. and Manichaikul, A. and Oelsner, E. C. and Barr, R. G. and Taylor, K. D. and Rich, S. S. and Bonten, T. N. and Mook-Kanamori, D. O. and Noordam, R. and Li-Gao, R. and Jarvelin, M. R. and Wielscher, M. and Terzikhan, N. and Lahousse, L. and Brusselle, G. and Weiss, S. and Ewert, R. and Gl{\"a}ser, S. and Homuth, G. and Shrine, N. and Hall, I. P. and Tobin, M. and London, S. J. and Wei, P. and Morrison, A. C.} } @article {8666, title = {Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.}, journal = {Nature}, volume = {590}, year = {2021}, month = {2021 02}, pages = {290-299}, abstract = {

The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes). In the first 53,831 TOPMed samples, we detected more than 400~million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400~million detected variants, 97\% have frequencies of less than 1\% and 46\% are singletons that are present in only one individual (53\% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01\%.

}, issn = {1476-4687}, doi = {10.1038/s41586-021-03205-y}, author = {Taliun, Daniel and Harris, Daniel N and Kessler, Michael D and Carlson, Jedidiah and Szpiech, Zachary A and Torres, Raul and Taliun, Sarah A Gagliano and Corvelo, Andr{\'e} and Gogarten, Stephanie M and Kang, Hyun Min and Pitsillides, Achilleas N and LeFaive, Jonathon and Lee, Seung-Been and Tian, Xiaowen and Browning, Brian L and Das, Sayantan and Emde, Anne-Katrin and Clarke, Wayne E and Loesch, Douglas P and Shetty, Amol C and Blackwell, Thomas W and Smith, Albert V and Wong, Quenna and Liu, Xiaoming and Conomos, Matthew P and Bobo, Dean M and Aguet, Francois and Albert, Christine and Alonso, Alvaro and Ardlie, Kristin G and Arking, Dan E and Aslibekyan, Stella and Auer, Paul L and Barnard, John and Barr, R Graham and Barwick, Lucas and Becker, Lewis C and Beer, Rebecca L and Benjamin, Emelia J and Bielak, Lawrence F and Blangero, John and Boehnke, Michael and Bowden, Donald W and Brody, Jennifer A and Burchard, Esteban G and Cade, Brian E and Casella, James F and Chalazan, Brandon and Chasman, Daniel I and Chen, Yii-Der Ida and Cho, Michael H and Choi, Seung Hoan and Chung, Mina K and Clish, Clary B and Correa, Adolfo and Curran, Joanne E and Custer, Brian and Darbar, Dawood and Daya, Michelle and de Andrade, Mariza and DeMeo, Dawn L and Dutcher, Susan K and Ellinor, Patrick T and Emery, Leslie S and Eng, Celeste and Fatkin, Diane and Fingerlin, Tasha and Forer, Lukas and Fornage, Myriam and Franceschini, Nora and Fuchsberger, Christian and Fullerton, Stephanie M and Germer, Soren and Gladwin, Mark T and Gottlieb, Daniel J and Guo, Xiuqing and Hall, Michael E and He, Jiang and Heard-Costa, Nancy L and Heckbert, Susan R and Irvin, Marguerite R and Johnsen, Jill M and Johnson, Andrew D and Kaplan, Robert and Kardia, Sharon L R and Kelly, Tanika and Kelly, Shannon and Kenny, Eimear E and Kiel, Douglas P and Klemmer, Robert and Konkle, Barbara A and Kooperberg, Charles and K{\"o}ttgen, Anna and Lange, Leslie A and Lasky-Su, Jessica and Levy, Daniel and Lin, Xihong and Lin, Keng-Han and Liu, Chunyu and Loos, Ruth J F and Garman, Lori and Gerszten, Robert and Lubitz, Steven A and Lunetta, Kathryn L and Mak, Angel C Y and Manichaikul, Ani and Manning, Alisa K and Mathias, Rasika A and McManus, David D and McGarvey, Stephen T and Meigs, James B and Meyers, Deborah A and Mikulla, Julie L and Minear, Mollie A and Mitchell, Braxton D and Mohanty, Sanghamitra and Montasser, May E and Montgomery, Courtney and Morrison, Alanna C and Murabito, Joanne M and Natale, Andrea and Natarajan, Pradeep and Nelson, Sarah C and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Pankratz, Nathan and Peloso, Gina M and Peyser, Patricia A and Pleiness, Jacob and Post, Wendy S and Psaty, Bruce M and Rao, D C and Redline, Susan and Reiner, Alexander P and Roden, Dan and Rotter, Jerome I and Ruczinski, Ingo and Sarnowski, Chloe and Schoenherr, Sebastian and Schwartz, David A and Seo, Jeong-Sun and Seshadri, Sudha and Sheehan, Vivien A and Sheu, Wayne H and Shoemaker, M Benjamin and Smith, Nicholas L and Smith, Jennifer A and Sotoodehnia, Nona and Stilp, Adrienne M and Tang, Weihong and Taylor, Kent D and Telen, Marilyn and Thornton, Timothy A and Tracy, Russell P and Van Den Berg, David J and Vasan, Ramachandran S and Viaud-Martinez, Karine A and Vrieze, Scott and Weeks, Daniel E and Weir, Bruce S and Weiss, Scott T and Weng, Lu-Chen and Willer, Cristen J and Zhang, Yingze and Zhao, Xutong and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Boerwinkle, Eric and Gabriel, Stacey and Gibbs, Richard and Rice, Kenneth M and Rich, Stephen S and Silverman, Edwin K and Qasba, Pankaj and Gan, Weiniu and Papanicolaou, George J and Nickerson, Deborah A and Browning, Sharon R and Zody, Michael C and Z{\"o}llner, Sebastian and Wilson, James G and Cupples, L Adrienne and Laurie, Cathy C and Jaquish, Cashell E and Hernandez, Ryan D and O{\textquoteright}Connor, Timothy D and Abecasis, Goncalo R} } @article {8618, title = {{Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {01}, pages = {24}, abstract = {Differences between sexes contribute to variation in the levels of fasting glucose and insulin. Epidemiological studies established a higher prevalence of impaired fasting glucose in men and impaired glucose tolerance in women, however, the genetic component underlying this phenomenon is not established. We assess sex-dimorphic (73,089/50,404 women and 67,506/47,806 men) and sex-combined (151,188/105,056 individuals) fasting glucose/fasting insulin genetic effects via genome-wide association study meta-analyses in individuals of European descent without diabetes. Here we report sex dimorphism in allelic effects on fasting insulin at IRS1 and ZNF12 loci, the latter showing higher RNA expression in whole blood in women compared to men. We also observe sex-homogeneous effects on fasting glucose at seven novel loci. Fasting insulin in women shows stronger genetic correlations than in men with waist-to-hip ratio and anorexia nervosa. Furthermore, waist-to-hip ratio is causally related to insulin resistance in women, but not in men. These results position dissection of metabolic and glycemic health sex dimorphism as a steppingstone for understanding differences in genetic effects between women and men in related phenotypes.}, author = {Lagou, V. and M?gi, R. and Hottenga, J. J. and Grallert, H. and Perry, J. R. B. and Bouatia-Naji, N. and Marullo, L. and Rybin, D. and Jansen, R. and Min, J. L. and Dimas, A. S. and Ulrich, A. and Zudina, L. and G?din, J. R. and Jiang, L. and Faggian, A. and Bonnefond, A. and Fadista, J. and Stathopoulou, M. G. and Isaacs, A. and Willems, S. M. and Navarro, P. and Tanaka, T. and Jackson, A. U. and Montasser, M. E. and O{\textquoteright}Connell, J. R. and Bielak, L. F. and Webster, R. J. and Saxena, R. and Stafford, J. M. and Pourcain, B. S. and Timpson, N. J. and Salo, P. and Shin, S. Y. and Amin, N. and Smith, A. V. and Li, G. and Verweij, N. and Goel, A. and Ford, I. and Johnson, P. C. D. and Johnson, T. and Kapur, K. and Thorleifsson, G. and Strawbridge, R. J. and Rasmussen-Torvik, L. J. and Esko, T. and Mihailov, E. and Fall, T. and Fraser, R. M. and Mahajan, A. and Kanoni, S. and Giedraitis, V. and Kleber, M. E. and Silbernagel, G. and Meyer, J. and M?ller-Nurasyid, M. and Ganna, A. and Sarin, A. P. and Yengo, L. and Shungin, D. and Luan, J. and Horikoshi, M. and An, P. and Sanna, S. and Boettcher, Y. and Rayner, N. W. and Nolte, I. M. and Zemunik, T. and Iperen, E. V. and Kovacs, P. and Hastie, N. D. and Wild, S. H. and McLachlan, S. and Campbell, S. and Polasek, O. and Carlson, O. and Egan, J. and Kiess, W. and Willemsen, G. and Kuusisto, J. and Laakso, M. and Dimitriou, M. and Hicks, A. A. and Rauramaa, R. and Bandinelli, S. and Thorand, B. and Liu, Y. and Miljkovic, I. and Lind, L. and Doney, A. and Perola, M. and Hingorani, A. and Kivimaki, M. and Kumari, M. and Bennett, A. J. and Groves, C. J. and Herder, C. and Koistinen, H. A. and Kinnunen, L. and Faire, U. and Bakker, S. J. L. and Uusitupa, M. and Palmer, C. N. A. and Jukema, J. W. and Sattar, N. and Pouta, A. and Snieder, H. and Boerwinkle, E. and Pankow, J. S. and Magnusson, P. K. and Krus, U. and Scapoli, C. and de Geus, E. J. C. N. and Bl?her, M. and Wolffenbuttel, B. H. R. and Province, M. A. and Abecasis, G. R. and Meigs, J. B. and Hovingh, G. K. and Lindstr?m, J. and Wilson, J. F. and Wright, A. F. and Dedoussis, G. V. and Bornstein, S. R. and Schwarz, P. E. H. and T?njes, A. and Winkelmann, B. R. and Boehm, B. O. and M?rz, W. and Metspalu, A. and Price, J. F. and Deloukas, P. and K?rner, A. and Lakka, T. A. and Keinanen-Kiukaanniemi, S. M. and Saaristo, T. E. and Bergman, R. N. and Tuomilehto, J. and Wareham, N. J. and Langenberg, C. and M?nnist?, S. and Franks, P. W. and Hayward, C. and Vitart, V. and Kaprio, J. and Visvikis-Siest, S. and Balkau, B. and Altshuler, D. and Rudan, I. and Stumvoll, M. and Campbell, H. and van Duijn, C. M. and Gieger, C. and Illig, T. and Ferrucci, L. and Pedersen, N. L. and Pramstaller, P. P. and Boehnke, M. and Frayling, T. M. and Shuldiner, A. R. and Peyser, P. A. and Kardia, S. L. R. and Palmer, L. J. and Penninx, B. W. and Meneton, P. and Harris, T. B. and Navis, G. and Harst, P. V. and Smith, G. D. and Forouhi, N. G. and Loos, R. J. F. and Salomaa, V. and Soranzo, N. and Boomsma, D. I. and Groop, L. and Tuomi, T. and Hofman, A. and Munroe, P. B. and Gudnason, V. and Siscovick, D. S. and Watkins, H. and Lecoeur, C. and Vollenweider, P. and Franco-Cereceda, A. and Eriksson, P. and Jarvelin, M. R. and Stefansson, K. and Hamsten, A. and Nicholson, G. and Karpe, F. and Dermitzakis, E. T. and Lindgren, C. M. and McCarthy, M. I. and Froguel, P. and Kaakinen, M. A. and Lyssenko, V. and Watanabe, R. M. and Ingelsson, E. and Florez, J. C. and Dupuis, J. and Barroso, I. and Morris, A. P. and Prokopenko, I.} } @article {8663, title = {{Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {01}, pages = {24}, abstract = {Differences between sexes contribute to variation in the levels of fasting glucose and insulin. Epidemiological studies established a higher prevalence of impaired fasting glucose in men and impaired glucose tolerance in women, however, the genetic component underlying this phenomenon is not established. We assess sex-dimorphic (73,089/50,404 women and 67,506/47,806 men) and sex-combined (151,188/105,056 individuals) fasting glucose/fasting insulin genetic effects via genome-wide association study meta-analyses in individuals of European descent without diabetes. Here we report sex dimorphism in allelic effects on fasting insulin at IRS1 and ZNF12 loci, the latter showing higher RNA expression in whole blood in women compared to men. We also observe sex-homogeneous effects on fasting glucose at seven novel loci. Fasting insulin in women shows stronger genetic correlations than in men with waist-to-hip ratio and anorexia nervosa. Furthermore, waist-to-hip ratio is causally related to insulin resistance in women, but not in men. These results position dissection of metabolic and glycemic health sex dimorphism as a steppingstone for understanding differences in genetic effects between women and men in related phenotypes.}, author = {Lagou, V. and M{\"a}gi, R. and Hottenga, J. J. and Grallert, H. and Perry, J. R. B. and Bouatia-Naji, N. and Marullo, L. and Rybin, D. and Jansen, R. and Min, J. L. and Dimas, A. S. and Ulrich, A. and Zudina, L. and G{\r a}din, J. R. and Jiang, L. and Faggian, A. and Bonnefond, A. and Fadista, J. and Stathopoulou, M. G. and Isaacs, A. and Willems, S. M. and Navarro, P. and Tanaka, T. and Jackson, A. U. and Montasser, M. E. and O{\textquoteright}Connell, J. R. and Bielak, L. F. and Webster, R. J. and Saxena, R. and Stafford, J. M. and Pourcain, B. S. and Timpson, N. J. and Salo, P. and Shin, S. Y. and Amin, N. and Smith, A. V. and Li, G. and Verweij, N. and Goel, A. and Ford, I. and Johnson, P. C. D. and Johnson, T. and Kapur, K. and Thorleifsson, G. and Strawbridge, R. J. and Rasmussen-Torvik, L. J. and Esko, T. and Mihailov, E. and Fall, T. and Fraser, R. M. and Mahajan, A. and Kanoni, S. and Giedraitis, V. and Kleber, M. E. and Silbernagel, G. and Meyer, J. and M{\"u}ller-Nurasyid, M. and Ganna, A. and Sarin, A. P. and Yengo, L. and Shungin, D. and Luan, J. and Horikoshi, M. and An, P. and Sanna, S. and Boettcher, Y. and Rayner, N. W. and Nolte, I. M. and Zemunik, T. and Iperen, E. V. and Kovacs, P. and Hastie, N. D. and Wild, S. H. and McLachlan, S. and Campbell, S. and Polasek, O. and Carlson, O. and Egan, J. and Kiess, W. and Willemsen, G. and Kuusisto, J. and Laakso, M. and Dimitriou, M. and Hicks, A. A. and Rauramaa, R. and Bandinelli, S. and Thorand, B. and Liu, Y. and Miljkovic, I. and Lind, L. and Doney, A. and Perola, M. and Hingorani, A. and Kivimaki, M. and Kumari, M. and Bennett, A. J. and Groves, C. J. and Herder, C. and Koistinen, H. A. and Kinnunen, L. and Faire, U. and Bakker, S. J. L. and Uusitupa, M. and Palmer, C. N. A. and Jukema, J. W. and Sattar, N. and Pouta, A. and Snieder, H. and Boerwinkle, E. and Pankow, J. S. and Magnusson, P. K. and Krus, U. and Scapoli, C. and de Geus, E. J. C. N. and Bl{\"u}her, M. and Wolffenbuttel, B. H. R. and Province, M. A. and Abecasis, G. R. and Meigs, J. B. and Hovingh, G. K. and Lindstr{\"o}m, J. and Wilson, J. F. and Wright, A. F. and Dedoussis, G. V. and Bornstein, S. R. and Schwarz, P. E. H. and Tonjes, A. and Winkelmann, B. R. and Boehm, B. O. and M{\"a}rz, W. and Metspalu, A. and Price, J. F. and Deloukas, P. and K{\"o}rner, A. and Lakka, T. A. and Keinanen-Kiukaanniemi, S. M. and Saaristo, T. E. and Bergman, R. N. and Tuomilehto, J. and Wareham, N. J. and Langenberg, C. and M{\"a}nnist{\"o}, S. and Franks, P. W. and Hayward, C. and Vitart, V. and Kaprio, J. and Visvikis-Siest, S. and Balkau, B. and Altshuler, D. and Rudan, I. and Stumvoll, M. and Campbell, H. and van Duijn, C. M. and Gieger, C. and Illig, T. and Ferrucci, L. and Pedersen, N. L. and Pramstaller, P. P. and Boehnke, M. and Frayling, T. M. and Shuldiner, A. R. and Peyser, P. A. and Kardia, S. L. R. and Palmer, L. J. and Penninx, B. W. and Meneton, P. and Harris, T. B. and Navis, G. and Harst, P. V. and Smith, G. D. and Forouhi, N. G. and Loos, R. J. F. and Salomaa, V. and Soranzo, N. and Boomsma, D. I. and Groop, L. and Tuomi, T. and Hofman, A. and Munroe, P. B. and Gudnason, V. and Siscovick, D. S. and Watkins, H. and Lecoeur, C. and Vollenweider, P. and Franco-Cereceda, A. and Eriksson, P. and Jarvelin, M. R. and Stefansson, K. and Hamsten, A. and Nicholson, G. and Karpe, F. and Dermitzakis, E. T. and Lindgren, C. M. and McCarthy, M. I. and Froguel, P. and Kaakinen, M. A. and Lyssenko, V. and Watanabe, R. M. and Ingelsson, E. and Florez, J. C. and Dupuis, J. and Barroso, I. and Morris, A. P. and Prokopenko, I.} } @article {8785, title = {Silent Myocardial Infarction and Subsequent Ischemic Stroke in the Cardiovascular Health Study.}, journal = {Neurology}, year = {2021}, month = {2021 May 24}, abstract = {

OBJECTIVE: To test the hypothesis that silent MI is a risk factor for ischemic stroke, we evaluated the association between silent MI and subsequent ischemic stroke in the Cardiovascular Health Study.

METHODS: The Cardiovascular Health Study prospectively enrolled community-dwelling individuals >=65 years of age. We included participants without prevalent stroke or baseline evidence of MI. Our exposures were silent and clinically apparent, overt MI. Silent MI was defined as new evidence of Q-wave MI, without clinical symptoms of MI, on ECGs performed during annual study visits from 1989-1999. The primary outcome was incident ischemic stroke. Secondary outcomes were ischemic stroke subtypes: non-lacunar, lacunar, and other/unknown. Cox proportional hazards analysis was used to model the association between time-varying MI status (silent, overt, or no MI) and stroke after adjustment for baseline demographics and vascular risk factors.

RESULTS: Among 4,224 participants, 362 (8.6\%) had an incident silent MI, 421 (10.0\%) an incident overt MI, and 377 (8.9\%) an incident ischemic stroke during a median follow-up of 9.8 years. After adjustment for demographics and comorbidities, silent MI was independently associated with subsequent ischemic stroke (HR, 1.51; 95\% CI, 1.03-2.21). Overt MI was associated with ischemic stroke both in the short term (HR, 80; 95\% CI, 53-119) and long term (HR, 1.60; 95\% CI, 1.04-2.44). In secondary analyses, the association between silent MI and stroke was limited to non-lacunar ischemic stroke (HR 2.40; 95\% CI, 1.36-4.22).

CONCLUSION: In a community-based sample, we found an association between silent MI and ischemic stroke.

}, issn = {1526-632X}, doi = {10.1212/WNL.0000000000012249}, author = {Merkler, Alexander E and Bartz, Traci M and Kamel, Hooman and Soliman, Elsayed Z and Howard, Virginia and Psaty, Bruce M and Okin, Peter M and Safford, Monika M and Elkind, Mitchell S V and Longstreth, W T} } @article {8840, title = {Statins and cognitive decline in the Cardiovascular Health Study: A comparison of different analytical approaches.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2021}, month = {2021 Jul 31}, abstract = {

BACKGROUND: Despite their well-established benefits for the prevention of cardiovascular disease, robust evidence on the effects of statins on cognition is largely inconclusive. We apply various study designs and analytical approaches to mimic randomized controlled trial (RCT) effects from observational data.

METHODS: We used observational data from 5,580 participants enrolled in the Cardiovascular Health Study from 1989/90 to 1999/2000. We conceptualized the cohort as an overlapping sequence of non-randomized trials. We compared multiple selection (eligible population, prevalent users, new-users) and analytic approaches (multivariable adjustment, inverse probability treatment weights, propensity score matching) to evaluate the association between statin use and 5-year change in global cognitive function, assessed using the Modified Mini-Mental State (3MS) examination.

RESULTS: When comparing prevalent users to non-users (N=2,772), statin use was associated with slower cognitive decline over 5 years (adjusted annual change in 3MSE = 0.34 points/year; 95\% CI:0.05;0.63). Compared to prevalent user design, estimates from new user designs (e.g. comparing eligible statin initiators to non-initiators) were attenuated showing either null or negative association, though not significant. For example, in a propensity score-matched sample of statin-eligible individuals (N=454), annual 3MS change comparing statin initiators to non-initiators was -0.21 points/year (95\% CI:-0.81;0.39).

CONCLUSIONS: The association of statin use and cognitive decline is attenuated towards the null when using rigorous analytical approaches that more closely mimic RCTs. Point estimates, even within the same study, may vary depending on the analytical methods used. Further studies that leverage natural or quasi experiments around statin use are needed to replicate our findings.

}, issn = {1758-535X}, doi = {10.1093/gerona/glab220}, author = {Zeki Al Hazzouri, Adina and Jawadekar, Neal and Grasset, Leslie and Kaiser, Paulina and Kezios, Katrina and Calonico, Sebastian and Glymour, M Maria and Hirsch, Calvin and Arnold, Alice M and Varadhan, Ravi and Opoodden, Michelle C} } @article {8830, title = {Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations.}, journal = {Circ Genom Precis Med}, volume = {14}, year = {2021}, month = {2021 Aug}, pages = {e003288}, abstract = {

BACKGROUND: ChREBP (carbohydrate responsive element binding protein) is a transcription factor that responds to sugar consumption. Sugar-sweetened beverage (SSB) consumption and genetic variants in the locus have separately been linked to HDL-C (high-density lipoprotein cholesterol) and triglyceride concentrations. We hypothesized that SSB consumption would modify the association between genetic variants in the locus and dyslipidemia.

METHODS: Data from 11 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (N=63 599) and the UK Biobank (N=59 220) were used to quantify associations of SSB consumption, genetic variants, and their interaction on HDL-C and triglyceride concentrations using linear regression models. A total of 1606 single nucleotide polymorphisms within or near were considered. SSB consumption was estimated from validated questionnaires, and participants were grouped by their estimated intake.

RESULTS: In a meta-analysis, rs71556729 was significantly associated with higher HDL-C concentrations only among the highest SSB consumers (β, 2.12 [95\% CI, 1.16-3.07] mg/dL per allele; <0.0001), but not significantly among the lowest SSB consumers (=0.81; <0.0001). Similar results were observed for 2 additional variants (rs35709627 and rs71556736). For triglyceride, rs55673514 was positively associated with triglyceride concentrations only among the highest SSB consumers (β, 0.06 [95\% CI, 0.02-0.09] ln-mg/dL per allele, =0.001) but not the lowest SSB consumers (=0.84; =0.0005).

CONCLUSIONS: Our results identified genetic variants in the locus that may protect against SSB-associated reductions in HDL-C and other variants that may exacerbate SSB-associated increases in triglyceride concentrations. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT00005133, NCT00005121, NCT00005487, and NCT00000479.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.120.003288}, author = {Haslam, Danielle E and Peloso, Gina M and Guirette, Melanie and Imamura, Fumiaki and Bartz, Traci M and Pitsillides, Achilleas N and Wang, Carol A and Li-Gao, Ruifang and Westra, Jason M and Pitk{\"a}nen, Niina and Young, Kristin L and Graff, Mariaelisa and Wood, Alexis C and Braun, Kim V E and Luan, Jian{\textquoteright}an and K{\"a}h{\"o}nen, Mika and Kiefte-de Jong, Jessica C and Ghanbari, Mohsen and Tintle, Nathan and Lemaitre, Rozenn N and Mook-Kanamori, Dennis O and North, Kari and Helminen, Mika and Mossavar-Rahmani, Yasmin and Snetselaar, Linda and Martin, Lisa W and Viikari, Jorma S and Oddy, Wendy H and Pennell, Craig E and Rosendall, Frits R and Ikram, M Arfan and Uitterlinden, Andr{\'e} G and Psaty, Bruce M and Mozaffarian, Dariush and Rotter, Jerome I and Taylor, Kent D and Lehtim{\"a}ki, Terho and Raitakari, Olli T and Livingston, Kara A and Voortman, Trudy and Forouhi, Nita G and Wareham, Nick J and de Mutsert, Ren{\'e}e and Rich, Steven S and Manson, JoAnn E and Mora, Samia and Ridker, Paul M and Merino, Jordi and Meigs, James B and Dashti, Hassan S and Chasman, Daniel I and Lichtenstein, Alice H and Smith, Caren E and Dupuis, Jos{\'e}e and Herman, Mark A and McKeown, Nicola M} } @article {8713, title = {A System for Phenotype Harmonization in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program.}, journal = {Am J Epidemiol}, year = {2021}, month = {2021 Apr 16}, abstract = {

Genotype-phenotype association studies often combine phenotype data from multiple studies to increase power. Harmonization of the data usually requires substantial effort due to heterogeneity in phenotype definitions, study design, data collection procedures, and data set organization. Here we describe a centralized system for phenotype harmonization that includes input from phenotype domain and study experts, quality control, documentation, reproducible results, and data sharing mechanisms. This system was developed for the National Heart, Lung and Blood Institute{\textquoteright}s Trans-Omics for Precision Medicine program, which is generating genomic and other omics data for >80 studies with extensive phenotype data. To date, 63 phenotypes have been harmonized across thousands of participants from up to 17 studies per phenotype (participants recruited 1948-2012). We discuss challenges in this undertaking and how they were addressed. The harmonized phenotype data and associated documentation have been submitted to National Institutes of Health data repositories for controlled-access by the scientific community. We also provide materials to facilitate future harmonization efforts by the community, which include (1) the code used to generate the 63 harmonized phenotypes, enabling others to reproduce, modify or extend these harmonizations to additional studies; and (2) results of labeling thousands of phenotype variables with controlled vocabulary terms.

}, issn = {1476-6256}, doi = {10.1093/aje/kwab115}, author = {Stilp, Adrienne M and Emery, Leslie S and Broome, Jai G and Buth, Erin J and Khan, Alyna T and Laurie, Cecelia A and Wang, Fei Fei and Wong, Quenna and Chen, Dongquan and D{\textquoteright}Augustine, Catherine M and Heard-Costa, Nancy L and Hohensee, Chancellor R and Johnson, William Craig and Juarez, Lucia D and Liu, Jingmin and Mutalik, Karen M and Raffield, Laura M and Wiggins, Kerri L and de Vries, Paul S and Kelly, Tanika N and Kooperberg, Charles and Natarajan, Pradeep and Peloso, Gina M and Peyser, Patricia A and Reiner, Alex P and Arnett, Donna K and Aslibekyan, Stella and Barnes, Kathleen C and Bielak, Lawrence F and Bis, Joshua C and Cade, Brian E and Chen, Ming-Huei and Correa, Adolfo and Cupples, L Adrienne and de Andrade, Mariza and Ellinor, Patrick T and Fornage, Myriam and Franceschini, Nora and Gan, Weiniu and Ganesh, Santhi K and Graffelman, Jan and Grove, Megan L and Guo, Xiuqing and Hawley, Nicola L and Hsu, Wan-Ling and Jackson, Rebecca D and Jaquish, Cashell E and Johnson, Andrew D and Kardia, Sharon L R and Kelly, Shannon and Lee, Jiwon and Mathias, Rasika A and McGarvey, Stephen T and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and North, Kari E and Nouraie, Seyed Mehdi and Oelsner, Elizabeth C and Pankratz, Nathan and Rich, Stephen S and Rotter, Jerome I and Smith, Jennifer A and Taylor, Kent D and Vasan, Ramachandran S and Weeks, Daniel E and Weiss, Scott T and Wilson, Carla G and Yanek, Lisa R and Psaty, Bruce M and Heckbert, Susan R and Laurie, Cathy C} } @article {8772, title = {{The trans-ancestral genomic architecture of glycemic traits}, journal = {Nat Genet}, volume = {53}, year = {2021}, month = {06}, pages = {840{\textendash}860}, abstract = {10.1038/s41588-021-00852-9Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30\% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 {\texttimes} 10-8), 80\% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99\% credible sets by a median of 37.5\%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.}, author = {Chen, J. and Spracklen, C. N. and Marenne, G. and Varshney, A. and Corbin, L. J. and Luan, J. and Willems, S. M. and Wu, Y. and Zhang, X. and Horikoshi, M. and Boutin, T. S. and M{\"a}gi, R. and Waage, J. and Li-Gao, R. and Chan, K. H. K. and Yao, J. and Anasanti, M. D. and Chu, A. Y. and Claringbould, A. and Heikkinen, J. and Hong, J. and Hottenga, J. J. and Huo, S. and Kaakinen, M. A. and Louie, T. and M{\"a}rz, W. and Moreno-Macias, H. and Ndungu, A. and Nelson, S. C. and Nolte, I. M. and North, K. E. and Raulerson, C. K. and Ray, D. and Rohde, R. and Rybin, D. and Schurmann, C. and Sim, X. and Southam, L. and Stewart, I. D. and Wang, C. A. and Wang, Y. and Wu, P. and Zhang, W. and Ahluwalia, T. S. and Appel, E. V. R. and Bielak, L. F. and Brody, J. A. and Burtt, N. P. and Cabrera, C. P. and Cade, B. E. and Chai, J. F. and Chai, X. and Chang, L. C. and Chen, C. H. and Chen, B. H. and Chitrala, K. N. and Chiu, Y. F. and de Haan, H. G. and Delgado, G. E. and Demirkan, A. and Duan, Q. and Engmann, J. and Fatumo, S. A. and Gay{\'a}n, J. and Giulianini, F. and Gong, J. H. and Gustafsson, S. and Hai, Y. and Hartwig, F. P. and He, J. and Heianza, Y. and Huang, T. and Huerta-Chagoya, A. and Hwang, M. Y. and Jensen, R. A. and Kawaguchi, T. and Kentistou, K. A. and Kim, Y. J. and Kleber, M. E. and Kooner, I. K. and Lai, S. and Lange, L. A. and Langefeld, C. D. and Lauzon, M. and Li, M. and Ligthart, S. and Liu, J. and Loh, M. and Long, J. and Lyssenko, V. and Mangino, M. and Marzi, C. and Montasser, M. E. and Nag, A. and Nakatochi, M. and Noce, D. and Noordam, R. and Pistis, G. and Preuss, M. and Raffield, L. and Rasmussen-Torvik, L. J. and Rich, S. S. and Robertson, N. R. and Rueedi, R. and Ryan, K. and Sanna, S. and Saxena, R. and Schraut, K. E. and Sennblad, B. and Setoh, K. and Smith, A. V. and Spars{\o}, T. and Strawbridge, R. J. and Takeuchi, F. and Tan, J. and Trompet, S. and van den Akker, E. and van der Most, P. J. and Verweij, N. and Vogel, M. and Wang, H. and Wang, C. and Wang, N. and Warren, H. R. and Wen, W. and Wilsgaard, T. and Wong, A. and Wood, A. R. and Xie, T. and Zafarmand, M. H. and Zhao, J. H. and Zhao, W. and Amin, N. and Arzumanyan, Z. and Astrup, A. and Bakker, S. J. L. and Baldassarre, D. and Beekman, M. and Bergman, R. N. and Bertoni, A. and Bl{\"u}her, M. and Bonnycastle, L. L. and Bornstein, S. R. and Bowden, D. W. and Cai, Q. and Campbell, A. and Campbell, H. and Chang, Y. C. and de Geus, E. J. C. and Dehghan, A. and Du, S. and Eiriksdottir, G. and Farmaki, A. E. and Fr{\r a}nberg, M. and Fuchsberger, C. and Gao, Y. and Gjesing, A. P. and Goel, A. and Han, S. and Hartman, C. A. and Herder, C. and Hicks, A. A. and Hsieh, C. H. and Hsueh, W. A. and Ichihara, S. and Igase, M. and Ikram, M. A. and Johnson, W. C. and J{\o}rgensen, M. E. and Joshi, P. K. and Kalyani, R. R. and Kandeel, F. R. and Katsuya, T. and Khor, C. C. and Kiess, W. and Kolcic, I. and Kuulasmaa, T. and Kuusisto, J. and L{\"a}ll, K. and Lam, K. and Lawlor, D. A. and Lee, N. R. and Lemaitre, R. N. and Li, H. and Lin, S. Y. and Lindstr{\"o}m, J. and Linneberg, A. and Liu, J. and Lorenzo, C. and Matsubara, T. and Matsuda, F. and Mingrone, G. and Mooijaart, S. and Moon, S. and Nabika, T. and Nadkarni, G. N. and Nadler, J. L. and Nelis, M. and Neville, M. J. and Norris, J. M. and Ohyagi, Y. and Peters, A. and Peyser, P. A. and Polasek, O. and Qi, Q. and Raven, D. and Reilly, D. F. and Reiner, A. and Rivideneira, F. and Roll, K. and Rudan, I. and Sabanayagam, C. and Sandow, K. and Sattar, N. and Sch{\"u}rmann, A. and Shi, J. and Stringham, H. M. and Taylor, K. D. and Teslovich, T. M. and Thuesen, B. and Timmers, P. R. H. J. and Tremoli, E. and Tsai, M. Y. and Uitterlinden, A. and van Dam, R. M. and van Heemst, D. and van Hylckama Vlieg, A. and Van Vliet-Ostaptchouk, J. V. and Vangipurapu, J. and Vestergaard, H. and Wang, T. and Willems van Dijk, K. and Zemunik, T. and Abecasis, G. R. and Adair, L. S. and Aguilar-Salinas, C. A. and Alarc{\'o}n-Riquelme, M. E. and An, P. and Aviles-Santa, L. and Becker, D. M. and Beilin, L. J. and Bergmann, S. and Bisgaard, H. and Black, C. and Boehnke, M. and Boerwinkle, E. and B{\"o}hm, B. O. and B{\o}nnelykke, K. and Boomsma, D. I. and Bottinger, E. P. and Buchanan, T. A. and Canouil, M. and Caulfield, M. J. and Chambers, J. C. and Chasman, D. I. and Chen, Y. I. and Cheng, C. Y. and Collins, F. S. and Correa, A. and Cucca, F. and de Silva, H. J. and Dedoussis, G. and Elmst{\r a}hl, S. and Evans, M. K. and Ferrannini, E. and Ferrucci, L. and Florez, J. C. and Franks, P. W. and Frayling, T. M. and Froguel, P. and Gigante, B. and Goodarzi, M. O. and Gordon-Larsen, P. and Grallert, H. and Grarup, N. and Grimsgaard, S. and Groop, L. and Gudnason, V. and Guo, X. and Hamsten, A. and Hansen, T. and Hayward, C. and Heckbert, S. R. and Horta, B. L. and Huang, W. and Ingelsson, E. and James, P. S. and Jarvelin, M. R. and Jonas, J. B. and Jukema, J. W. and Kaleebu, P. and Kaplan, R. and Kardia, S. L. R. and Kato, N. and Keinanen-Kiukaanniemi, S. M. and Kim, B. J. and Kivimaki, M. and Koistinen, H. A. and Kooner, J. S. and K{\"o}rner, A. and Kovacs, P. and Kuh, D. and Kumari, M. and Kutalik, Z. and Laakso, M. and Lakka, T. A. and Launer, L. J. and Leander, K. and Li, H. and Lin, X. and Lind, L. and Lindgren, C. and Liu, S. and Loos, R. J. F. and Magnusson, P. K. E. and Mahajan, A. and Metspalu, A. and Mook-Kanamori, D. O. and Mori, T. A. and Munroe, P. B. and Nj{\o}lstad, I. and O{\textquoteright}Connell, J. R. and Oldehinkel, A. J. and Ong, K. K. and Padmanabhan, S. and Palmer, C. N. A. and Palmer, N. D. and Pedersen, O. and Pennell, C. E. and Porteous, D. J. and Pramstaller, P. P. and Province, M. A. and Psaty, B. M. and Qi, L. and Raffel, L. J. and Rauramaa, R. and Redline, S. and Ridker, P. M. and Rosendaal, F. R. and Saaristo, T. E. and Sandhu, M. and Saramies, J. and Schneiderman, N. and Schwarz, P. and Scott, L. J. and Selvin, E. and Sever, P. and Shu, X. O. and Slagboom, P. E. and Small, K. S. and Smith, B. H. and Snieder, H. and Sofer, T. and S{\o}rensen, T. I. A. and Spector, T. D. and Stanton, A. and Steves, C. J. and Stumvoll, M. and Sun, L. and Tabara, Y. and Tai, E. S. and Timpson, N. J. and Tonjes, A. and Tuomilehto, J. and Tusie, T. and Uusitupa, M. and van der Harst, P. and van Duijn, C. and Vitart, V. and Vollenweider, P. and Vrijkotte, T. G. M. and Wagenknecht, L. E. and Walker, M. and Wang, Y. X. and Wareham, N. J. and Watanabe, R. M. and Watkins, H. and Wei, W. B. and Wickremasinghe, A. R. and Willemsen, G. and Wilson, J. F. and Wong, T. Y. and Wu, J. Y. and Xiang, A. H. and Yanek, L. R. and Yengo, L. and Yokota, M. and Zeggini, E. and Zheng, W. and Zonderman, A. B. and Rotter, J. I. and Gloyn, A. L. and McCarthy, M. I. and Dupuis, J. and Meigs, J. B. and Scott, R. A. and Prokopenko, I. and Leong, A. and Liu, C. T. and Parker, S. C. J. and Mohlke, K. L. and Langenberg, C. and Wheeler, E. and Morris, A. P. and Barroso, I. and de Haan, H. G. and van den Akker, E. and van der Most, P. J. and de Geus, E. J. C. and van Dam, R. M. and van Heemst, D. and van Hylckama Vlieg, A. and van Willems van Dijk, K. and de Silva, H. J. and van der Harst, P. and van Duijn, C.} } @article {8989, title = {What Cut-Point in Gait Speed Best Discriminates Community-Dwelling Older Adults With Mobility Complaints From Those Without? A Pooled Analysis From the Sarcopenia Definitions and Outcomes Consortium.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {76}, year = {2021}, month = {2021 09 13}, pages = {e321-e327}, abstract = {

BACKGROUND: Cut-points to define slow walking speed have largely been derived from expert opinion.

METHODS: Study participants (13 589 men and 5043 women aged >=65years) had walking speed (m/s) measured over 4-6 m (mean {\textpm} SD: 1.20 {\textpm} 0.27 m/s in men and 0.94 {\textpm} 0.24 m/s in women.) Mobility limitation was defined as any self-reported difficulty with walking approximately 1/4 mile (prevalence: 12.6\% men, 26.4\% women). Sex-stratified classification and regression tree (CART) models with 10-fold cross-validation identified walking speed cut-points that optimally discriminated those who reported mobility limitation from those who did not.

RESULTS: Among 5043 women, CART analysis identified 2 cut-points, classifying 4144 (82.2\%) with walking speed >=0.75 m/s, which we labeled as "fast"; 478 (9.5\%) as "intermediate" (walking speed >=0.62 m/s but <0.75 m/s); and 421 (8.3\%) as "slow" (walking speed <0.62 m/s). Among 13 589 men, CART analysis identified 3 cut-points, classifying 10 001 (73.6\%) with walking speed >=1.00 m/s ("very fast"); 2901 (21.3\%) as "fast" (walking speed >=0.74 m/s but <1.00 m/s); 497 (3.7\%) as "intermediate" (walking speed >=0.57 m/s but <0.74 m/s); and 190 (1.4\%) as "slow" (walking speed <0.57 m/s). Prevalence of self-reported mobility limitation was lowest in the "fast" or "very fast" (11\% for men and 19\% for women) and highest in the "slow" (60.5\% in men and 71.0\% in women). Rounding the 2 slower cut-points to 0.60 m/s and 0.75 m/s reclassified very few participants.

CONCLUSIONS: Cut-points in walking speed of approximately 0.60 m/s and 0.75 m/s discriminate those with self-reported mobility limitation from those without.

}, keywords = {Aged, Female, Gait, Humans, Independent Living, Male, Mobility Limitation, Sarcopenia, Walking, Walking Speed}, issn = {1758-535X}, doi = {10.1093/gerona/glab183}, author = {Cawthon, Peggy M and Patel, Sheena M and Kritchevsky, Stephen B and Newman, Anne B and Santanasto, Adam and Kiel, Douglas P and Travison, Thomas G and Lane, Nancy and Cummings, Steven R and Orwoll, Eric S and Duchowny, Kate A and Kwok, Timothy and Hirani, Vasant and Schousboe, John and Karlsson, Magnus K and Mellstr{\"o}m, Dan and Ohlsson, Claes and Ljunggren, Osten and Xue, Qian-Li and Shardell, Michelle and Jordan, Joanne M and Pencina, Karol M and Fielding, Roger A and Magaziner, Jay and Correa-de-Araujo, Rosaly and Bhasin, Shalender and Manini, Todd M} } @article {8664, title = {Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium.}, journal = {EBioMedicine}, volume = {63}, year = {2021}, month = {2021 Jan}, pages = {103157}, abstract = {

BACKGROUND: Genetic factors that influence kidney traits have been understudied for low frequency and ancestry-specific variants.

METHODS: We combined whole genome sequencing (WGS) data from 23,732 participants from 10 NHLBI Trans-Omics for Precision Medicine (TOPMed) Program multi-ethnic studies to identify novel loci for estimated glomerular filtration rate (eGFR). Participants included European, African, East Asian, and Hispanic ancestries. We applied linear mixed models using a genetic relationship matrix estimated from the WGS data and adjusted for age, sex, study, and ethnicity.

FINDINGS: When testing single variants, we identified three novel loci driven by low frequency variants more commonly observed in non-European ancestry (PRKAA2, rs180996919, minor allele frequency [MAF] 0.04\%, P~=~6.1~{\texttimes}~10; METTL8, rs116951054, MAF 0.09\%, P~=~4.5~{\texttimes}~10; and MATK, rs539182790, MAF 0.05\%, P~=~3.4~{\texttimes}~10). We also replicated two known loci for common variants (rs2461702, MAF=0.49, P~=~1.2~{\texttimes}~10, nearest gene GATM, and rs71147340, MAF=0.34, P~=~3.3~{\texttimes}~10, CDK12). Testing aggregated variants within a gene identified the MAF gene. A statistical approach based on local ancestry helped to identify replication samples for ancestry-specific variants.

INTERPRETATION: This study highlights challenges in studying variants influencing kidney traits that are low frequency in populations and more common in non-European ancestry.

}, issn = {2352-3964}, doi = {10.1016/j.ebiom.2020.103157}, author = {Lin, Bridget M and Grinde, Kelsey E and Brody, Jennifer A and Breeze, Charles E and Raffield, Laura M and Mychaleckyj, Josyf C and Thornton, Timothy A and Perry, James A and Baier, Leslie J and de Las Fuentes, Lisa and Guo, Xiuqing and Heavner, Benjamin D and Hanson, Robert L and Hung, Yi-Jen and Qian, Huijun and Hsiung, Chao A and Hwang, Shih-Jen and Irvin, Margaret R and Jain, Deepti and Kelly, Tanika N and Kobes, Sayuko and Lange, Leslie and Lash, James P and Li, Yun and Liu, Xiaoming and Mi, Xuenan and Musani, Solomon K and Papanicolaou, George J and Parsa, Afshin and Reiner, Alex P and Salimi, Shabnam and Sheu, Wayne H-H and Shuldiner, Alan R and Taylor, Kent D and Smith, Albert V and Smith, Jennifer A and Tin, Adrienne and Vaidya, Dhananjay and Wallace, Robert B and Yamamoto, Kenichi and Sakaue, Saori and Matsuda, Koichi and Kamatani, Yoichiro and Momozawa, Yukihide and Yanek, Lisa R and Young, Betsi A and Zhao, Wei and Okada, Yukinori and Abecasis, Gonzalo and Psaty, Bruce M and Arnett, Donna K and Boerwinkle, Eric and Cai, Jianwen and Yii-Der Chen, Ida and Correa, Adolfo and Cupples, L Adrienne and He, Jiang and Kardia, Sharon Lr and Kooperberg, Charles and Mathias, Rasika A and Mitchell, Braxton D and Nickerson, Deborah A and Turner, Steve T and Vasan, Ramachandran S and Rotter, Jerome I and Levy, Daniel and Kramer, Holly J and K{\"o}ttgen, Anna and Rich, Stephen S and Lin, Dan-Yu and Browning, Sharon R and Franceschini, Nora} } @article {8913, title = {Whole genome sequence analysis of platelet traits in the NHLBI trans-omics for precision medicine initiative.}, journal = {Hum Mol Genet}, year = {2021}, month = {2021 Sep 06}, abstract = {

Platelets play a key role in thrombosis and hemostasis. Platelet count (PLT) and mean platelet volume (MPV) are highly heritable quantitative traits, with hundreds of genetic signals previously identified, mostly in European ancestry populations. We here utilize whole genome sequencing from NHLBI{\textquoteright}s Trans-Omics for Precision Medicine Initiative (TOPMed) in a large multi-ethnic sample to further explore common and rare variation contributing to PLT (n = 61 200) and MPV (n = 23 485). We identified and replicated secondary signals at MPL (rs532784633) and PECAM1 (rs73345162), both more common in African ancestry populations. We also observed rare variation in Mendelian platelet related disorder genes influencing variation in platelet traits in TOPMed cohorts (not enriched for blood disorders). For example, association of GP9 with lower PLT and higher MPV was partly driven by a pathogenic Bernard-Soulier syndrome variant (rs5030764, p.Asn61Ser), and the signals at TUBB1 and CD36 were partly driven by loss of function variants not annotated as pathogenic in ClinVar (rs199948010 and rs571975065). However, residual signal remained for these gene-based signals after adjusting for lead variants, suggesting that additional variants in Mendelian genes with impacts in general population cohorts remain to be identified. Gene-based signals were also identified at several GWAS identified loci for genes not annotated for Mendelian platelet disorders (PTPRH, TET2, CHEK2), with somatic variation driving the result at TET2. These results highlight the value of whole genome sequencing in populations of diverse genetic ancestry to identify novel regulatory and coding signals, even for well-studied traits like platelet traits.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddab252}, author = {Little, Amarise and Hu, Yao and Sun, Quan and Jain, Deepti and Broome, Jai and Chen, Ming-Huei and Thibord, Florian and McHugh, Caitlin and Surendran, Praveen and Blackwell, Thomas W and Brody, Jennifer A and Bhan, Arunoday and Chami, Nathalie and Vries, Paul S and Ekunwe, Lynette and Heard-Costa, Nancy and Hobbs, Brian D and Manichaikul, Ani and Moon, Jee-Young and Preuss, Michael H and Ryan, Kathleen and Wang, Zhe and Wheeler, Marsha and Yanek, Lisa R and Abecasis, Goncalo R and Almasy, Laura and Beaty, Terri H and Becker, Lewis C and Blangero, John and Boerwinkle, Eric and Butterworth, Adam S and Choquet, Helene and Correa, Adolfo and Curran, Joanne E and Faraday, Nauder and Fornage, Myriam and Glahn, David C and Hou, Lifang and Jorgenson, Eric and Kooperberg, Charles and Lewis, Joshua P and Lloyd-Jones, Donald M and Loos, Ruth J F and Min, Nancy and Mitchell, Braxton D and Morrison, Alanna C and Nickerson, Debbie and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Pankratz, Nathan and Psaty, Bruce M and Vasan, Ramachandran S and Rich, Stephen S and Rotter, Jerome I and Smith, Albert V and Smith, Nicholas L and Tang, Hua and Tracy, Russell P and Conomos, Matthew P and Laurie, Cecelia A and Mathias, Rasika A and Li, Yun and Auer, Paul L and Thornton, Timothy and Reiner, Alexander P and Johnson, Andrew D and Raffield, Laura M} } @article {8779, title = {Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program.}, journal = {Am J Hum Genet}, volume = {108}, year = {2021}, month = {2021 05 06}, pages = {874-893}, abstract = {

Whole-genome sequencing (WGS), a powerful tool for detecting novel coding and non-coding disease-causing variants, has largely been applied to clinical diagnosis of inherited disorders. Here we leveraged WGS data in up to 62,653 ethnically diverse participants from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and assessed statistical association of variants with seven red blood cell (RBC) quantitative traits. We discovered 14 single variant-RBC trait associations at 12 genomic loci, which have not been reported previously. Several of the RBC trait-variant associations (RPN1, ELL2, MIDN, HBB, HBA1, PIEZO1, and G6PD) were replicated in independent GWAS datasets imputed to the TOPMed reference panel. Most of these discovered variants are rare/low frequency, and several are observed disproportionately among non-European Ancestry (African, Hispanic/Latino, or East Asian) populations. We identified a 3~bp indel p.Lys2169del (g.88717175_88717177TCT[4]) (common only in the Ashkenazi Jewish population) of PIEZO1, a gene responsible for the Mendelian red cell disorder hereditary xerocytosis (MIM: 194380), associated with higher mean corpuscular hemoglobin concentration (MCHC). In stepwise conditional analysis and in gene-based rare variant aggregated association analysis, we identified several of the variants in HBB, HBA1, TMPRSS6, and G6PD that represent the carrier state for known coding, promoter, or splice site loss-of-function variants that cause inherited RBC disorders. Finally, we applied base and nuclease editing to demonstrate that the sentinel variant rs112097551 (nearest gene RPN1) acts through a cis-regulatory element that exerts long-range control of the gene RUVBL1 which is essential for hematopoiesis. Together, these results demonstrate the utility of WGS in ethnically diverse population-based samples and gene editing for expanding knowledge of the genetic architecture of quantitative hematologic traits and suggest a continuum between complex trait and Mendelian red cell disorders.

}, keywords = {Adult, Aged, Chromosomes, Human, Pair 16, Datasets as Topic, Erythrocytes, Female, Gene Editing, Genetic Variation, Genome-Wide Association Study, HEK293 Cells, Humans, Male, Middle Aged, National Heart, Lung, and Blood Institute (U.S.), Phenotype, Quality Control, Reproducibility of Results, United States}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.04.003}, author = {Hu, Yao and Stilp, Adrienne M and McHugh, Caitlin P and Rao, Shuquan and Jain, Deepti and Zheng, Xiuwen and Lane, John and M{\'e}ric de Bellefon, S{\'e}bastian and Raffield, Laura M and Chen, Ming-Huei and Yanek, Lisa R and Wheeler, Marsha and Yao, Yao and Ren, Chunyan and Broome, Jai and Moon, Jee-Young and de Vries, Paul S and Hobbs, Brian D and Sun, Quan and Surendran, Praveen and Brody, Jennifer A and Blackwell, Thomas W and Choquet, Helene and Ryan, Kathleen and Duggirala, Ravindranath and Heard-Costa, Nancy and Wang, Zhe and Chami, Nathalie and Preuss, Michael H and Min, Nancy and Ekunwe, Lynette and Lange, Leslie A and Cushman, Mary and Faraday, Nauder and Curran, Joanne E and Almasy, Laura and Kundu, Kousik and Smith, Albert V and Gabriel, Stacey and Rotter, Jerome I and Fornage, Myriam and Lloyd-Jones, Donald M and Vasan, Ramachandran S and Smith, Nicholas L and North, Kari E and Boerwinkle, Eric and Becker, Lewis C and Lewis, Joshua P and Abecasis, Goncalo R and Hou, Lifang and O{\textquoteright}Connell, Jeffrey R and Morrison, Alanna C and Beaty, Terri H and Kaplan, Robert and Correa, Adolfo and Blangero, John and Jorgenson, Eric and Psaty, Bruce M and Kooperberg, Charles and Walton, Russell T and Kleinstiver, Benjamin P and Tang, Hua and Loos, Ruth J F and Soranzo, Nicole and Butterworth, Adam S and Nickerson, Debbie and Rich, Stephen S and Mitchell, Braxton D and Johnson, Andrew D and Auer, Paul L and Li, Yun and Mathias, Rasika A and Lettre, Guillaume and Pankratz, Nathan and Laurie, Cathy C and Laurie, Cecelia A and Bauer, Daniel E and Conomos, Matthew P and Reiner, Alexander P} } @article {8914, title = {Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program.}, journal = {Am J Hum Genet}, volume = {108}, year = {2021}, month = {2021 10 07}, pages = {1836-1851}, abstract = {

Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs.

}, keywords = {Asthma, Biomarkers, Dermatitis, Atopic, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Leukocytes, National Heart, Lung, and Blood Institute (U.S.), Phenotype, Polymorphism, Single Nucleotide, Prognosis, Proteome, Pulmonary Disease, Chronic Obstructive, Quantitative Trait Loci, United Kingdom, United States, Whole Genome Sequencing}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.08.007}, author = {Mikhaylova, Anna V and McHugh, Caitlin P and Polfus, Linda M and Raffield, Laura M and Boorgula, Meher Preethi and Blackwell, Thomas W and Brody, Jennifer A and Broome, Jai and Chami, Nathalie and Chen, Ming-Huei and Conomos, Matthew P and Cox, Corey and Curran, Joanne E and Daya, Michelle and Ekunwe, Lynette and Glahn, David C and Heard-Costa, Nancy and Highland, Heather M and Hobbs, Brian D and Ilboudo, Yann and Jain, Deepti and Lange, Leslie A and Miller-Fleming, Tyne W and Min, Nancy and Moon, Jee-Young and Preuss, Michael H and Rosen, Jonathon and Ryan, Kathleen and Smith, Albert V and Sun, Quan and Surendran, Praveen and de Vries, Paul S and Walter, Klaudia and Wang, Zhe and Wheeler, Marsha and Yanek, Lisa R and Zhong, Xue and Abecasis, Goncalo R and Almasy, Laura and Barnes, Kathleen C and Beaty, Terri H and Becker, Lewis C and Blangero, John and Boerwinkle, Eric and Butterworth, Adam S and Chavan, Sameer and Cho, Michael H and Choquet, Helene and Correa, Adolfo and Cox, Nancy and DeMeo, Dawn L and Faraday, Nauder and Fornage, Myriam and Gerszten, Robert E and Hou, Lifang and Johnson, Andrew D and Jorgenson, Eric and Kaplan, Robert and Kooperberg, Charles and Kundu, Kousik and Laurie, Cecelia A and Lettre, Guillaume and Lewis, Joshua P and Li, Bingshan and Li, Yun and Lloyd-Jones, Donald M and Loos, Ruth J F and Manichaikul, Ani and Meyers, Deborah A and Mitchell, Braxton D and Morrison, Alanna C and Ngo, Debby and Nickerson, Deborah A and Nongmaithem, Suraj and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Ortega, Victor E and Pankratz, Nathan and Perry, James A and Psaty, Bruce M and Rich, Stephen S and Soranzo, Nicole and Rotter, Jerome I and Silverman, Edwin K and Smith, Nicholas L and Tang, Hua and Tracy, Russell P and Thornton, Timothy A and Vasan, Ramachandran S and Zein, Joe and Mathias, Rasika A and Reiner, Alexander P and Auer, Paul L} } @article {9042, title = {Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data.}, journal = {Nat Genet}, volume = {54}, year = {2022}, month = {2022 Mar}, pages = {263-273}, abstract = {

Analyses of data from genome-wide association studies on unrelated individuals have shown that, for human traits and diseases, approximately one-third to two-thirds of heritability is captured by common SNPs. However, it is not known whether the remaining heritability is due to the imperfect tagging of causal variants by common SNPs, in particular whether the causal variants are rare, or whether it is overestimated due to bias in inference from pedigree data. Here we estimated heritability for height and body mass index (BMI) from whole-genome sequence data on 25,465 unrelated individuals of European ancestry. The estimated heritability was 0.68 (standard error 0.10) for height and 0.30 (standard error 0.10) for body mass index. Low minor allele frequency variants in low linkage disequilibrium (LD) with neighboring variants were enriched for heritability, to a greater extent for protein-altering variants, consistent with negative selection. Our results imply that rare variants, in particular those in regions of low linkage disequilibrium, are a major source of the still missing heritability of complex traits and disease.

}, issn = {1546-1718}, doi = {10.1038/s41588-021-00997-7}, author = {Wainschtein, Pierrick and Jain, Deepti and Zheng, Zhili and Cupples, L Adrienne and Shadyab, Aladdin H and McKnight, Barbara and Shoemaker, Benjamin M and Mitchell, Braxton D and Psaty, Bruce M and Kooperberg, Charles and Liu, Ching-Ti and Albert, Christine M and Roden, Dan and Chasman, Daniel I and Darbar, Dawood and Lloyd-Jones, Donald M and Arnett, Donna K and Regan, Elizabeth A and Boerwinkle, Eric and Rotter, Jerome I and O{\textquoteright}Connell, Jeffrey R and Yanek, Lisa R and de Andrade, Mariza and Allison, Matthew A and McDonald, Merry-Lynn N and Chung, Mina K and Fornage, Myriam and Chami, Nathalie and Smith, Nicholas L and Ellinor, Patrick T and Vasan, Ramachandran S and Mathias, Rasika A and Loos, Ruth J F and Rich, Stephen S and Lubitz, Steven A and Heckbert, Susan R and Redline, Susan and Guo, Xiuqing and Chen, Y -D Ida and Laurie, Cecelia A and Hernandez, Ryan D and McGarvey, Stephen T and Goddard, Michael E and Laurie, Cathy C and North, Kari E and Lange, Leslie A and Weir, Bruce S and Yengo, Loic and Yang, Jian and Visscher, Peter M} } @article {9154, title = {The association of aortic valve sclerosis, aortic annulus increased reflectivity, and mitral annular calcification with subsequent aortic stenosis in older individuals. Findings from the Cardiovascular Health Study.}, journal = {J Am Soc Echocardiogr}, year = {2022}, month = {2022 Sep 09}, abstract = {

BACKGROUND: While aortic valve sclerosis (AVS) is well-described as preceding aortic stenosis (AS), the association of AS with antecedent mitral aortic annular calcification and aortic annulus increased reflectivity (MAC and AAIR, respectively) has not been characterized. In a population-based prospective study, we evaluated whether MAC, AAIR, and AVS are associated with the risk of incident AS.

METHODS: Among participants of the Cardiovascular Health Study (CHS) free of AS at the 1994-1995 visit, the presence of MAC, AAIR, AVS, and the combination of all three were evaluated in 3041 participants. Cox proportional hazards regression was used to assess the association between the presence of calcification and the incidence of moderate/severe AS in three nested models adjusting for factors associated with atherosclerosis and inflammation both relevant to the pathogenesis of AS.

RESULTS: Over a median follow-up of 11.5 years (IQR 6.7 to 17.0), 110 cases of incident moderate/severe AS were ascertained. Strong positive associations with incident moderate/severe AS were found for all calcification sites after adjustment for the main model covariates: AAIR (HR=2.90, 95\% CI=[1.95, 4.32], p<0.0005), AVS (HR=2.20, 95\% CI=[1.44, 3.37], p<0.0005), MAC (HR=1.67, 95\% CI=[1.14, 2.45], p=0.008), and the combination of MAC, AAIR, and AVS (HR=2.50, 95\% CI=[1.65, 3.78], p<0.0005). In a secondary analysis, the risk of AS increased with the number of sites at which calcification was present.

CONCLUSIONS: In a large cohort of community-dwelling elderly individuals, there were strong associations between each of AAIR, AVS, MAC, and the combination of MAC, AAIR, and AVS with incident moderate/severe AS. The novel finding that AAIR had a particularly strong association with incident AS, even after adjusting for other calcification sites, suggests its value in identifying individuals at risk for AS, and potential inclusion in the routine assessment by transthoracic echocardiography.

}, issn = {1097-6795}, doi = {10.1016/j.echo.2022.08.013}, author = {Barasch, Eddy and Gottdiener, John S and Tressel, William and Bartz, Traci M and B{\r u}zkov{\'a}, Petra and Massera, Daniele and DeFilippi, Christopher and Biggs, Mary L and Psaty, Bruce M and Kizer, Jorge R and Owens, David} } @article {9159, title = {The association of hearing problems with social network strength and depressive symptoms: the cardiovascular health study.}, journal = {Age Ageing}, volume = {51}, year = {2022}, month = {2022 Aug 02}, abstract = {

BACKGROUND: research on the association between hearing impairment and psychosocial outcomes is not only limited but also yielded mixed results.

METHODS: we investigated associations between annual self-reports of hearing problems, depressive symptoms and social network strength among 5,888 adults from the Cardiovascular Health Study over a period of 9 years. Social network strength and depressive symptoms were defined using the Lubben Social Network Scale (LSNS), and the Center for Epidemiological Studies Depression Scale (CES-D).

RESULTS: hearing problems were associated with weaker social networks and more depressive symptoms. These association differed for prevalent versus incident hearing problems. Participants with prevalent hearing problems scored an adjusted 0.47 points lower (95\% CI: -2.20, -0.71) on the LSNS and 0.71 points higher (95\% CI: 0.23, 1.19) on the CES-D than those without hearing problems. Participants with incident hearing problems had a greater decline of 0.12 points (95\% CI: -0.12, -0.03) per year in social network score than individuals with no hearing problems after adjusting for confounders. Females appeared to be more vulnerable to changes in social network strength than males (P-value for interaction = 0.02), but not for changes in depressive score. Accounting for social network score did not appear to attenuate the association between hearing problems and depressive score.

CONCLUSION: findings suggest that older adults with prevalent hearing problems may be more at risk for depression, but individuals with incident hearing problems may be at greater risk for a winnowing of their social network.

}, keywords = {Aged, Depression, Female, Hearing Loss, Humans, Male, Self Report, Social Networking}, issn = {1468-2834}, doi = {10.1093/ageing/afac181}, author = {Dobrota, Sylvie D and Biggs, Mary L and Pratt, Sheila and Popat, Rita and Odden, Michelle C} } @article {9175, title = {Association of immune cell subsets with incident heart failure in two population-based cohorts.}, journal = {ESC Heart Fail}, year = {2022}, month = {2022 Sep 12}, abstract = {

AIMS: Circulating inflammatory markers are associated with incident heart failure (HF), but prospective data on associations of immune cell subsets with incident HF are lacking. We determined the associations of immune cell subsets with incident HF as well as HF subtypes [with reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF)].

METHODS AND RESULTS: Peripheral blood immune cell subsets were measured in adults from the Multi-Ethnic Study of Atherosclerosis (MESA) and Cardiovascular Health Study (CHS). Cox proportional hazard models adjusted for demographics, HF risk factors, and cytomegalovirus serostatus were used to evaluate the association of the immune cell subsets with incident HF. The average age of the MESA cohort at the time of immune cell measurements was 63.0~{\textpm}~10.4~years with 51\% women, and in the CHS cohort, it was 79.6~{\textpm}~4.4~years with 62\% women. In the meta-analysis of CHS and MESA, a higher proportion of CD4+ T helper (Th) 1 cells (per one standard deviation) was associated with a lower risk of incident HF [hazard ratio (HR) 0.91, (95\% CI 0.83-0.99), P~=~0.03]. Specifically, higher proportion of CD4+ Th1 cells was significantly associated with a lower risk of HFrEF [HR 0.73, (95\% CI 0.62-0.85), <0.001] after correction for multiple testing. No association was observed with HFpEF. No other cell subsets were associated with incident HF.

CONCLUSIONS: We observed that higher proportions of CD4+ Th1 cells were associated with a lower risk of incident HFrEF in two distinct population-based cohorts, with similar effect sizes in both cohorts demonstrating replicability. Although unexpected, the consistency of this finding across cohorts merits further investigation.

}, issn = {2055-5822}, doi = {10.1002/ehf2.14140}, author = {Sinha, Arjun and Sitlani, Colleen M and Doyle, Margaret F and Fohner, Alison E and B{\r u}zkov{\'a}, Petra and Floyd, James S and Huber, Sally A and Olson, Nels C and Njoroge, Joyce N and Kizer, Jorge R and Delaney, Joseph A and Shah, Sanjiv S and Tracy, Russell P and Psaty, Bruce and Feinstein, Matthew} } @article {9091, title = {Association of Trimethylamine N-Oxide and Metabolites With Mortality in Older Adults.}, journal = {JAMA Netw Open}, volume = {5}, year = {2022}, month = {2022 05 02}, pages = {e2213242}, abstract = {

Importance: Little is known about the association of trimethylamine N-oxide (TMAO), a novel plasma metabolite derived from L-carnitine and phosphatidylcholine, and related metabolites (ie, choline, betaine, carnitine, and butyrobetaine) with risk of death among older adults in the general population.

Objective: To investigate the associations of serial measures of plasma TMAO and related metabolites with risk of total and cause-specific death (ie, deaths from cardiovascular diseases [CVDs] and non-CVDs) among older adults in the US.

Design, Setting, and Participants: This prospective cohort study involved 5333 participants from the Cardiovascular Health Study-a community-based longitudinal cohort of adults aged 65 years or older-who were followed up from June 1, 1989, to December 31, 2015. Participants were from 4 communities in the US (Forsyth County, North Carolina; Sacramento County, California; Washington County, Maryland; and Allegheny County, Pennsylvania). Data were analyzed from March 17 to June 23, 2021.

Exposures: Plasma TMAO, choline, betaine, carnitine, and butyrobetaine levels were measured using stored samples from baseline (June 1, 1989, to May 31, 1990, or November 1, 1992, to June 31, 1993) and follow-up examination (June 1, 1996, to May 31, 1997). Measurements were performed through stable-isotope dilution liquid chromatography with tandem mass spectrometry using high-performance liquid chromatography with online electrospray ionization tandem mass spectrometry.

Main Outcomes and Measures: Deaths (total and cause specific) were adjudicated by a centralized Cardiovascular Health Study events committee based on information from medical records, laboratory and diagnostic reports, death certificates, and/or interviews with next of kin. The associations of each metabolite with mortality were assessed using Cox proportional hazards regression models.

Results: Among 5333 participants in the analytic sample, the mean (SD) age was 73 (6) years; 2149 participants (40.3\%) were male, 3184 (59.7\%) were female, 848 (15.9\%) were African American, 4450 (83.4\%) were White, and 35 (0.01\%) were of other races (12 were American Indian or Alaska Native, 4 were Asian or Pacific Islander, and 19 were of other races or ethnicities). During a median follow-up of 13.2 years (range, 0-26.9 years), 4791 deaths occurred. After adjustment for potential confounders, the hazard ratios for death from any cause (ie, total mortality) comparing extreme quintiles (fifth vs first) of plasma concentrations were 1.30 (95\% CI, 1.17-1.44) for TMAO, 1.19 (95\% CI, 1.08-1.32) for choline, 1.26 (95\% CI, 1.15-1.40) for carnitine, and 1.26 (95\% CI, 1.13-1.40) for butyrobetaine. Plasma betaine was not associated with risk of death. The extent of risk estimates was similar for CVD and non-CVD mortality.

Conclusions and Relevance: In this cohort study, plasma concentrations of TMAO and related metabolites were positively associated with risk of death. These findings suggest that circulating TMAO is an important novel risk factor associated with death among older adults.

}, keywords = {Aged, Betaine, Cardiovascular Diseases, Carnitine, Choline, Cohort Studies, Female, Humans, Male, Methylamines, Prospective Studies}, issn = {2574-3805}, doi = {10.1001/jamanetworkopen.2022.13242}, author = {Fretts, Amanda M and Hazen, Stanley L and Jensen, Paul and Budoff, Matthew and Sitlani, Colleen M and Wang, Meng and de Oliveira Otto, Marcia C and DiDonato, Joseph A and Lee, Yujin and Psaty, Bruce M and Siscovick, David S and Sotoodehnia, Nona and Tang, W H Wilson and Lai, Heidi and Lemaitre, Rozenn N and Mozaffarian, Dariush} } @article {9108, title = {Associations of modifiable behavioral risk factor combinations at 65-74 years old with cognitive healthspan over 20 years.}, journal = {Psychosom Med}, year = {2022}, month = {2022 Jun 28}, abstract = {

OBJECTIVE: Behavioral risk factors for dementia tend to co-occur and inter-relate, especially poor diet, physical inactivity, sleep disturbances, and depression. Having multiple of these modifiable behavioral risk factors (MBRFs) may predict a particularly shortened cognitive healthspan, and therefore, may signal high-risk status/high intervention need.

METHODS: This secondary analyses of data from the Cardiovascular Health Study included 3149 participants aged 65-74 years (mean age = 69.5, standard deviation (SD) = 2.5; 59.6\% female). MBRF exposures were self-reports regarding: (1) diet, (2) activity, (3) sleep, and (4) depression symptoms. We primarily analyzed MBRF counts. Over up to 26 years of follow-up, we assessed the: (1) number of remaining cognitively healthy life years (CHLYs); and (2) percentage of remaining life years (LYs) that were CHLYs (\%CHLY). We estimated CHLYs as time before a dementia diagnosis, cognitive screener scores indicating impairment, proxy port indicating significant cognitive decline, or dementia medication use.

RESULTS: Participants averaged a remaining 16 LYs (SD = 7), 12.2 CHLYs (SD = 6.6), and 78.1\% of LYs being CHLYs (SD = 25.6). Compared with having no MBRFs, having one was associated with ~1 less LY and CHLY, but not a relatively lower \%CHLY. In contrast, having 3+ MBRFs was associated with about 2-3 fewer LYs and CHLYs as well as about 6\% lower \%CHLY (95\% confidence interval: -9.0, -2.5 \%CHLYs), p = 0.001).

CONCLUSIONS: MBRF-related reductions in the cognitive healthspan are most apparent when people have multiple MBRFs. Future research is needed to determine if/how behavioral risks converge mechanistically, and if dementia prevention efficacy improves when targeting MBRF combinations.

}, issn = {1534-7796}, doi = {10.1097/PSY.0000000000001100}, author = {Smagula, Stephen F and Biggs, Mary L and Jacob, Mini E and Rawlings, Andreea M and Odden, Michelle C and Arnold, Alice and Newman, Anne B and Buysse, Daniel J} } @article {9163, title = {Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis.}, journal = {J Alzheimers Dis}, year = {2022}, month = {2022 Oct 03}, abstract = {

BACKGROUND: Previous studies suggest poor pulmonary function is associated with increased burden of cerebral white matter hyperintensities and brain atrophy among elderly individuals, but the results are inconsistent.

OBJECTIVE: To study the cross-sectional associations of pulmonary function with structural brain variables.

METHODS: Data from six large community-based samples (N = 11,091) were analyzed. Spirometric measurements were standardized with respect to age, sex, height, and ethnicity using reference equations of the Global Lung Function Initiative. Associations of forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and their ratio FEV1/FVC with brain volume, gray matter volume, hippocampal volume, and volume of white matter hyperintensities were investigated using multivariable linear regressions for each study separately and then combined using random-effect meta-analyses.

RESULTS: FEV1 and FVC were positively associated with brain volume, gray matter volume, and hippocampal volume, and negatively associated with white matter hyperintensities volume after multiple testing correction, with little heterogeneity present between the studies. For instance, an increase of FVC by one unit was associated with 3.5 ml higher brain volume (95\% CI: [2.2, 4.9]). In contrast, results for FEV1/FVC were more heterogeneous across studies, with significant positive associations with brain volume, gray matter volume, and hippocampal volume, but not white matter hyperintensities volume. Associations of brain variables with both FEV1 and FVC were consistently stronger than with FEV1/FVC, specifically with brain volume and white matter hyperintensities volume.

CONCLUSION: In cross-sectional analyses, worse pulmonary function is associated with smaller brain volumes and higher white matter hyperintensities burden.

}, issn = {1875-8908}, doi = {10.3233/JAD-220667}, author = {Frenzel, Stefan and Bis, Josh C and Gudmundsson, Elias F and O{\textquoteright}Donnell, Adrienne and Simino, Jeannette and Yaqub, Amber and Bartz, Traci M and Brusselle, Guy G O and B{\"u}low, Robin and DeCarli, Charles S and Ewert, Ralf and Gharib, Sina A and Ghosh, Saptaparni and Gireud-Goss, Monica and Gottesman, Rebecca F and Ikram, M Arfan and Knopman, David S and Launer, Lenore J and London, Stephanie J and Longstreth, W T and Lopez, Oscar L and Melo van Lent, Debora and O{\textquoteright}Connor, George and Satizabal, Claudia L and Shrestha, Srishti and Sigurdsson, Sigurdur and Stubbe, Beate and Talluri, Rajesh and Vasan, Ramachandran S and Vernooij, Meike W and V{\"o}lzke, Henry and Wiggins, Kerri L and Yu, Bing and Beiser, Alexa S and Gudnason, Vilmundur and Mosley, Thomas and Psaty, Bruce M and Wolters, Frank J and Grabe, Hans J and Seshadri, Sudha} } @article {9245, title = {Circulating Soluble CD163, Associations With Cardiovascular Outcomes and Mortality, and Identification of Genetic Variants in Older Individuals: The Cardiovascular Health Study.}, journal = {J Am Heart Assoc}, volume = {11}, year = {2022}, month = {2022 Nov}, pages = {e024374}, abstract = {

Background Monocytes/macrophages participate in cardiovascular disease. CD163 (cluster of differentiation 163) is a monocyte/macrophage receptor, and the shed sCD163 (soluble CD163) reflects monocyte/macrophage activation. We examined the association of sCD163 with incident cardiovascular disease events and performed a genome-wide association study to identify sCD163-associated variants. Methods and Results We measured plasma sCD163 in 5214 adults (aged >=65 years, 58.7\% women, 16.2\% Black) of the CHS (Cardiovascular Health Study). We used Cox regression models (associations of sCD163 with incident events and mortality); median follow-up was 26 years. Genome-wide association study analyses were stratified on race. Adjusted for age, sex, and race and ethnicity, sCD163 levels were associated with all-cause mortality (hazard ratio [HR], 1.08 [95\% CI, 1.04-1.12] per SD increase), cardiovascular disease mortality (HR, 1.15 [95\% CI, 1.09-1.21]), incident coronary heart disease (HR, 1.10 [95\% CI, 1.04-1.16]), and incident heart failure (HR, 1.18 [95\% CI, 1.12-1.25]). When further adjusted (eg, cardiovascular disease risk factors), only incident coronary heart disease lost significance. In European American individuals, genome-wide association studies identified 38 variants on chromosome 2 near (top result rs62165726, =3.3{\texttimes}10),19 variants near chromosome 17 gene (rs55714927, =1.5{\texttimes}10), and 18 variants near chromosome 11 gene . These regions replicated in the European ancestry ADDITION-PRO cohort, a longitudinal cohort study nested in the Danish arm of the Anglo-Danish-Dutch~study~of~Intensive~Treatment~Intensive Treatment In peOple with screeNdetcted Diabetes in Primary Care. In Black individuals, we identified 9 variants on chromosome 6 (rs3129781 =7.1{\texttimes}10) in the region, and 3 variants (rs115391969 =4.3{\texttimes}10) near the chromosome 16 gene Conclusions Monocyte function, as measured by sCD163, may be predictive of overall and cardiovascular-specific mortality and incident heart failure.

}, keywords = {Aged, Antigens, CD, Antigens, Differentiation, Myelomonocytic, Asialoglycoprotein Receptor, Biomarkers, Cardiovascular Diseases, Female, Genome-Wide Association Study, Heart Failure, Humans, Longitudinal Studies, Male}, issn = {2047-9980}, doi = {10.1161/JAHA.121.024374}, author = {Durda, Peter and Raffield, Laura M and Lange, Ethan M and Olson, Nels C and Jenny, Nancy Swords and Cushman, Mary and Deichgraeber, Pia and Grarup, Niels and Jonsson, Anna and Hansen, Torben and Mychaleckyj, Josyf C and Psaty, Bruce M and Reiner, Alex P and Tracy, Russell P and Lange, Leslie A} } @article {9194, title = {Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors.}, journal = {Circulation}, volume = {146}, year = {2022}, month = {2022 Oct 18}, pages = {1225-1242}, abstract = {

BACKGROUND: Venous thromboembolism (VTE) is a life-threatening vascular event with environmental and genetic determinants. Recent VTE genome-wide association studies (GWAS) meta-analyses involved nearly 30 000 VTE cases and identified up to 40 genetic loci associated with VTE risk, including loci not previously suspected to play a role in hemostasis. The aim of our research was to expand discovery of new genetic loci associated with VTE by using cross-ancestry genomic resources.

METHODS: We present new cross-ancestry meta-analyzed GWAS results involving up to 81 669 VTE cases from 30 studies, with replication of novel loci in independent populations and loci characterization through in silico genomic interrogations.

RESULTS: In our genetic discovery effort that included 55 330 participants with VTE (47 822 European, 6320 African, and 1188 Hispanic ancestry), we identified 48 novel associations, of which 34 were replicated after correction for multiple testing. In our combined discovery-replication analysis (81 669 VTE participants) and ancestry-stratified meta-analyses (European, African, and Hispanic), we identified another 44 novel associations, which are new candidate VTE-associated loci requiring replication. In total, across all GWAS meta-analyses, we identified 135 independent genomic loci significantly associated with VTE risk. A genetic risk score of the significantly associated loci in Europeans identified a 6-fold increase in risk for those in the top 1\% of scores compared with those with average scores. We also identified 31 novel transcript associations in transcriptome-wide association studies and 8 novel candidate genes with protein quantitative-trait locus Mendelian randomization analyses. In silico interrogations of hemostasis and hematology traits and a large phenome-wide association analysis of the 135 GWAS loci provided insights to biological pathways contributing to VTE, with some loci contributing to VTE through well-characterized coagulation pathways and others providing new data on the role of hematology traits, particularly platelet function. Many of the replicated loci are outside of known or currently hypothesized pathways to thrombosis.

CONCLUSIONS: Our cross-ancestry GWAS meta-analyses identified new loci associated with VTE. These findings highlight new pathways to thrombosis and provide novel molecules that may be useful in the development of improved antithrombosis treatments.

}, keywords = {Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Thrombosis, Venous Thromboembolism}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.122.059675}, author = {Thibord, Florian and Klarin, Derek and Brody, Jennifer A and Chen, Ming-Huei and Levin, Michael G and Chasman, Daniel I and Goode, Ellen L and Hveem, Kristian and Teder-Laving, Maris and Martinez-Perez, Angel and A{\"\i}ssi, Dylan and Daian-Bacq, Delphine and Ito, Kaoru and Natarajan, Pradeep and Lutsey, Pamela L and Nadkarni, Girish N and de Vries, Paul S and Cuellar-Partida, Gabriel and Wolford, Brooke N and Pattee, Jack W and Kooperberg, Charles and Braekkan, Sigrid K and Li-Gao, Ruifang and Saut, No{\'e}mie and Sept, Corriene and Germain, Marine and Judy, Renae L and Wiggins, Kerri L and Ko, Darae and O{\textquoteright}Donnell, Christopher J and Taylor, Kent D and Giulianini, Franco and de Andrade, Mariza and N{\o}st, Therese H and Boland, Anne and Empana, Jean-Philippe and Koyama, Satoshi and Gilliland, Thomas and Do, Ron and Huffman, Jennifer E and Wang, Xin and Zhou, Wei and Manuel Soria, Jose and Carlos Souto, Juan and Pankratz, Nathan and Haessler, Jeffery and Hindberg, Kristian and Rosendaal, Frits R and Turman, Constance and Olaso, Robert and Kember, Rachel L and Bartz, Traci M and Lynch, Julie A and Heckbert, Susan R and Armasu, Sebastian M and Brumpton, Ben and Smadja, David M and Jouven, Xavier and Komuro, Issei and Clapham, Katharine R and Loos, Ruth J F and Willer, Cristen J and Sabater-Lleal, Maria and Pankow, James S and Reiner, Alexander P and Morelli, Vania M and Ridker, Paul M and Vlieg, Astrid van Hylckama and Deleuze, Jean-Francois and Kraft, Peter and Rader, Daniel J and Min Lee, Kyung and Psaty, Bruce M and Heidi Skogholt, Anne and Emmerich, Joseph and Suchon, Pierre and Rich, Stephen S and Vy, Ha My T and Tang, Weihong and Jackson, Rebecca D and Hansen, John-Bjarne and Morange, Pierre-Emmanuel and Kabrhel, Christopher and Tr{\'e}gou{\"e}t, David-Alexandre and Damrauer, Scott M and Johnson, Andrew D and Smith, Nicholas L} } @article {9182, title = {Dietary Meat, Trimethylamine N-Oxide-Related Metabolites, and Incident Cardiovascular Disease Among Older Adults: The Cardiovascular Health Study.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {42}, year = {2022}, month = {2022 09}, pages = {e273-e288}, abstract = {

BACKGROUND: Effects of animal source foods (ASF) on atherosclerotic cardiovascular disease (ASCVD) and underlying mechanisms remain controversial. We investigated prospective associations of different ASF with incident ASCVD and potential mediation by gut microbiota-generated trimethylamine N-oxide, its L-carnitine-derived intermediates γ-butyrobetaine and crotonobetaine, and traditional ASCVD risk pathways.

METHODS: Among 3931 participants from a community-based US cohort aged 65+ years, ASF intakes and trimethylamine N-oxide-related metabolites were measured serially over time. Incident ASCVD (myocardial infarction, fatal coronary heart disease, stroke, other atherosclerotic death) was adjudicated over 12.5 years median follow-up. Cox proportional hazards models with time-varying exposures and covariates examined ASF-ASCVD associations; and additive hazard models, mediation proportions by different risk pathways.

RESULTS: After multivariable-adjustment, higher intakes of unprocessed red meat, total meat, and total ASF associated with higher ASCVD risk, with hazard ratios (95\% CI) per interquintile range of 1.15 (1.01-1.30), 1.22 (1.07-1.39), and 1.18 (1.03-1.34), respectively. Trimethylamine N-oxide-related metabolites together significantly mediated these associations, with mediation proportions (95\% CI) of 10.6\% (1.0-114.5), 7.8\% (1.0-32.7), and 9.2\% (2.2-44.5), respectively. Processed meat intake associated with a nonsignificant trend toward higher ASCVD (1.11 [0.98-1.25]); intakes of fish, poultry, and eggs were not significantly associated. Among other risk pathways, blood glucose, insulin, and C-reactive protein, but not blood pressure or blood cholesterol, each significantly mediated the total meat-ASCVD association.

CONCLUSIONS: In this large, community-based cohort, higher meat intake associated with incident ASCVD, partly mediated by microbiota-derived metabolites of L-carnitine, abundant in red meat. These novel findings support biochemical links between dietary meat, gut microbiome pathways, and ASCVD.

}, keywords = {Animals, Atherosclerosis, Cardiovascular Diseases, Carnitine, Humans, Meat, Methylamines, Risk Factors}, issn = {1524-4636}, doi = {10.1161/ATVBAHA.121.316533}, author = {Wang, Meng and Wang, Zeneng and Lee, Yujin and Lai, Heidi T M and de Oliveira Otto, Marcia C and Lemaitre, Rozenn N and Fretts, Amanda and Sotoodehnia, Nona and Budoff, Matthew and DiDonato, Joseph A and McKnight, Barbara and Tang, W H Wilson and Psaty, Bruce M and Siscovick, David S and Hazen, Stanley L and Mozaffarian, Dariush} } @article {9112, title = {Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals.}, journal = {Commun Biol}, volume = {5}, year = {2022}, month = {2022 Jun 13}, pages = {580}, abstract = {

Reduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (n = 178,691, n = 1,296,113). Our genome-wide searches identified (i) seven eGFR loci with significant DM/noDM-difference, (ii) four additional novel loci with suggestive difference and (iii) 28 further novel loci (including CUBN) by allowing for potential difference. GWAS on eGFR among DM individuals identified 2 known and 27 potentially responsible loci for diabetic kidney disease. Gene prioritization highlighted 18 genes that may inform reno-protective drug development. We highlight the existence of DM-only and noDM-only effects, which can inform about the target group, if respective genes are advanced as drug targets. Largely shared effects suggest that most drug interventions to alter eGFR should be effective in DM and noDM.

}, keywords = {Creatinine, Diabetes Mellitus, Diabetic Nephropathies, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Kidney}, issn = {2399-3642}, doi = {10.1038/s42003-022-03448-z}, author = {Winkler, Thomas W and Rasheed, Humaira and Teumer, Alexander and Gorski, Mathias and Rowan, Bryce X and Stanzick, Kira J and Thomas, Laurent F and Tin, Adrienne and Hoppmann, Anselm and Chu, Audrey Y and Tayo, Bamidele and Thio, Chris H L and Cusi, Daniele and Chai, Jin-Fang and Sieber, Karsten B and Horn, Katrin and Li, Man and Scholz, Markus and Cocca, Massimiliano and Wuttke, Matthias and van der Most, Peter J and Yang, Qiong and Ghasemi, Sahar and Nutile, Teresa and Li, Yong and Pontali, Giulia and G{\"u}nther, Felix and Dehghan, Abbas and Correa, Adolfo and Parsa, Afshin and Feresin, Agnese and de Vries, Aiko P J and Zonderman, Alan B and Smith, Albert V and Oldehinkel, Albertine J and De Grandi, Alessandro and Rosenkranz, Alexander R and Franke, Andre and Teren, Andrej and Metspalu, Andres and Hicks, Andrew A and Morris, Andrew P and T{\"o}njes, Anke and Morgan, Anna and Podgornaia, Anna I and Peters, Annette and K{\"o}rner, Antje and Mahajan, Anubha and Campbell, Archie and Freedman, Barry I and Spedicati, Beatrice and Ponte, Belen and Sch{\"o}ttker, Ben and Brumpton, Ben and Banas, Bernhard and Kr{\"a}mer, Bernhard K and Jung, Bettina and {\r A}svold, Bj{\o}rn Olav and Smith, Blair H and Ning, Boting and Penninx, Brenda W J H and Vanderwerff, Brett R and Psaty, Bruce M and Kammerer, Candace M and Langefeld, Carl D and Hayward, Caroline and Spracklen, Cassandra N and Robinson-Cohen, Cassianne and Hartman, Catharina A and Lindgren, Cecilia M and Wang, Chaolong and Sabanayagam, Charumathi and Heng, Chew-Kiat and Lanzani, Chiara and Khor, Chiea-Chuen and Cheng, Ching-Yu and Fuchsberger, Christian and Gieger, Christian and Shaffer, Christian M and Schulz, Christina-Alexandra and Willer, Cristen J and Chasman, Daniel I and Gudbjartsson, Daniel F and Ruggiero, Daniela and Toniolo, Daniela and Czamara, Darina and Porteous, David J and Waterworth, Dawn M and Mascalzoni, Deborah and Mook-Kanamori, Dennis O and Reilly, Dermot F and Daw, E Warwick and Hofer, Edith and Boerwinkle, Eric and Salvi, Erika and Bottinger, Erwin P and Tai, E-Shyong and Catamo, Eulalia and Rizzi, Federica and Guo, Feng and Rivadeneira, Fernando and Guilianini, Franco and Sveinbjornsson, Gardar and Ehret, Georg and Waeber, G{\'e}rard and Biino, Ginevra and Girotto, Giorgia and Pistis, Giorgio and Nadkarni, Girish N and Delgado, Graciela E and Montgomery, Grant W and Snieder, Harold and Campbell, Harry and White, Harvey D and Gao, He and Stringham, Heather M and Schmidt, Helena and Li, Hengtong and Brenner, Hermann and Holm, Hilma and Kirsten, Holgen and Kramer, Holly and Rudan, Igor and Nolte, Ilja M and Tzoulaki, Ioanna and Olafsson, Isleifur and Martins, Jade and Cook, James P and Wilson, James F and Halbritter, Jan and Felix, Janine F and Divers, Jasmin and Kooner, Jaspal S and Lee, Jeannette Jen-Mai and O{\textquoteright}Connell, Jeffrey and Rotter, Jerome I and Liu, Jianjun and Xu, Jie and Thiery, Joachim and Arnl{\"o}v, Johan and Kuusisto, Johanna and Jakobsdottir, Johanna and Tremblay, Johanne and Chambers, John C and Whitfield, John B and Gaziano, John M and Marten, Jonathan and Coresh, Josef and Jonas, Jost B and Mychaleckyj, Josyf C and Christensen, Kaare and Eckardt, Kai-Uwe and Mohlke, Karen L and Endlich, Karlhans and Dittrich, Katalin and Ryan, Kathleen A and Rice, Kenneth M and Taylor, Kent D and Ho, Kevin and Nikus, Kjell and Matsuda, Koichi and Strauch, Konstantin and Miliku, Kozeta and Hveem, Kristian and Lind, Lars and Wallentin, Lars and Yerges-Armstrong, Laura M and Raffield, Laura M and Phillips, Lawrence S and Launer, Lenore J and Lyytik{\"a}inen, Leo-Pekka and Lange, Leslie A and Citterio, Lorena and Klaric, Lucija and Ikram, M Arfan and Ising, Marcus and Kleber, Marcus E and Francescatto, Margherita and Concas, Maria Pina and Ciullo, Marina and Piratsu, Mario and Orho-Melander, Marju and Laakso, Markku and Loeffler, Markus and Perola, Markus and de Borst, Martin H and G{\"o}gele, Martin and Bianca, Martina La and Lukas, Mary Ann and Feitosa, Mary F and Biggs, Mary L and Wojczynski, Mary K and Kavousi, Maryam and Kanai, Masahiro and Akiyama, Masato and Yasuda, Masayuki and Nauck, Matthias and Waldenberger, Melanie and Chee, Miao-Li and Chee, Miao-Ling and Boehnke, Michael and Preuss, Michael H and Stumvoll, Michael and Province, Michael A and Evans, Michele K and O{\textquoteright}Donoghue, Michelle L and Kubo, Michiaki and K{\"a}h{\"o}nen, Mika and Kastarinen, Mika and Nalls, Mike A and Kuokkanen, Mikko and Ghanbari, Mohsen and Bochud, Murielle and Josyula, Navya Shilpa and Martin, Nicholas G and Tan, Nicholas Y Q and Palmer, Nicholette D and Pirastu, Nicola and Schupf, Nicole and Verweij, Niek and Hutri-K{\"a}h{\"o}nen, Nina and Mononen, Nina and Bansal, Nisha and Devuyst, Olivier and Melander, Olle and Raitakari, Olli T and Polasek, Ozren and Manunta, Paolo and Gasparini, Paolo and Mishra, Pashupati P and Sulem, Patrick and Magnusson, Patrik K E and Elliott, Paul and Ridker, Paul M and Hamet, Pavel and Svensson, Per O and Joshi, Peter K and Kovacs, Peter and Pramstaller, Peter P and Rossing, Peter and Vollenweider, Peter and van der Harst, Pim and Dorajoo, Rajkumar and Sim, Ralene Z H and Burkhardt, Ralph and Tao, Ran and Noordam, Raymond and M{\"a}gi, Reedik and Schmidt, Reinhold and de Mutsert, Ren{\'e}e and Rueedi, Rico and van Dam, Rob M and Carroll, Robert J and Gansevoort, Ron T and Loos, Ruth J F and Felicita, Sala Cinzia and Sedaghat, Sanaz and Padmanabhan, Sandosh and Freitag-Wolf, Sandra and Pendergrass, Sarah A and Graham, Sarah E and Gordon, Scott D and Hwang, Shih-Jen and Kerr, Shona M and Vaccargiu, Simona and Patil, Snehal B and Hallan, Stein and Bakker, Stephan J L and Lim, Su-Chi and Lucae, Susanne and Vogelezang, Suzanne and Bergmann, Sven and Corre, Tanguy and Ahluwalia, Tarunveer S and Lehtim{\"a}ki, Terho and Boutin, Thibaud S and Meitinger, Thomas and Wong, Tien-Yin and Bergler, Tobias and Rabelink, Ton J and Esko, T{\~o}nu and Haller, Toomas and Thorsteinsdottir, Unnur and V{\"o}lker, Uwe and Foo, Valencia Hui Xian and Salomaa, Veikko and Vitart, Veronique and Giedraitis, Vilmantas and Gudnason, Vilmundur and Jaddoe, Vincent W V and Huang, Wei and Zhang, Weihua and Wei, Wen Bin and Kiess, Wieland and M{\"a}rz, Winfried and Koenig, Wolfgang and Lieb, Wolfgang and G{\`a}o, Xin and Sim, Xueling and Wang, Ya Xing and Friedlander, Yechiel and Tham, Yih-Chung and Kamatani, Yoichiro and Okada, Yukinori and Milaneschi, Yuri and Yu, Zhi and Stark, Klaus J and Stefansson, Kari and B{\"o}ger, Carsten A and Hung, Adriana M and Kronenberg, Florian and K{\"o}ttgen, Anna and Pattaro, Cristian and Heid, Iris M} } @article {9111, title = {{DNA methylation signature of chronic low-grade inflammation and its role in cardio-respiratory diseases}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {05}, pages = {2408}, abstract = {We performed a multi-ethnic Epigenome Wide Association study on 22,774 individuals to describe the DNA methylation signature of chronic low-grade inflammation as measured by C-Reactive protein (CRP). We find 1,511 independent differentially methylated loci associated with CRP. These CpG sites show correlation structures across chromosomes, and are primarily situated in euchromatin, depleted in CpG islands. These genomic loci are predominantly situated in transcription factor binding sites and genomic enhancer regions. Mendelian randomization analysis suggests altered CpG methylation is a consequence of increased blood CRP levels. Mediation analysis reveals obesity and smoking as important underlying driving factors for changed CpG methylation. Finally, we find that an activated CpG signature significantly increases the risk for cardiometabolic diseases and COPD.}, author = {Wielscher, M. and Mandaviya, P. R. and Kuehnel, B. and Joehanes, R. and Mustafa, R. and Robinson, O. and Zhang, Y. and Bodinier, B. and Walton, E. and Mishra, P. P. and Schlosser, P. and Wilson, R. and Tsai, P. C. and Palaniswamy, S. and Marioni, R. E. and Fiorito, G. and Cugliari, G. and Karhunen, V. and Ghanbari, M. and Psaty, B. M. and Loh, M. and Bis, J. C. and Lehne, B. and Sotoodehnia, N. and Deary, I. J. and Chadeau-Hyam, M. and Brody, J. A. and Cardona, A. and Selvin, E. and Smith, A. K. and Miller, A. H. and Torres, M. A. and Marouli, E. and G{\`a}o, X. and van Meurs, J. B. J. and Graf-Schindler, J. and Rathmann, W. and Koenig, W. and Peters, A. and Weninger, W. and Farlik, M. and Zhang, T. and Chen, W. and Xia, Y. and Teumer, A. and Nauck, M. and Grabe, H. J. and Doerr, M. and Lehtim{\"a}ki, T. and Guan, W. and Milani, L. and Tanaka, T. and Fisher, K. and Waite, L. L. and Kasela, S. and Vineis, P. and Verweij, N. and van der Harst, P. and Iacoviello, L. and Sacerdote, C. and Panico, S. and Krogh, V. and Tumino, R. and Tzala, E. and Matullo, G. and Hurme, M. A. and Raitakari, O. T. and Colicino, E. and Baccarelli, A. A. and K{\"a}h{\"o}nen, M. and Herzig, K. H. and Li, S. and Conneely, K. N. and Kooner, J. S. and K{\"o}ttgen, A. and Heijmans, B. T. and Deloukas, P. and Relton, C. and Ong, K. K. and Bell, J. T. and Boerwinkle, E. and Elliott, P. and Brenner, H. and Beekman, M. and Levy, D. and Waldenberger, M. and Chambers, J. C. and Dehghan, A. and Jarvelin, M. R.} } @article {9259, title = {Dysregulated carbohydrate and lipid metabolism and risk of atrial fibrillation in advanced old age.}, journal = {Heart}, year = {2022}, month = {2022 Dec 22}, abstract = {

OBJECTIVE: Obesity and dysmetabolism are major risk factors for atrial fibrillation (AF). Fasting and postload levels of glucose and non-esterified fatty acids (NEFAs) reflect different facets of metabolic regulation. We sought to study their respective contributions to AF risk concurrently.

METHODS: We assessed levels of fasting and postload glucose and NEFA in the Cardiovascular Health Study to identify associations with AF incidence and, secondarily, with ECG parameters of AF risk available at baseline. Linear and Cox regressions were performed.

RESULTS: The study included 1876 participants (age 77.7{\textpm}4.4). During the median follow-up of 11.4 years, 717 cases of incident AF occurred. After adjustment for potential confounders, postload glucose showed an association with incident AF (HR per SD increment of postload glucose=1.11, 95\% CI 1.02 to 1.21, p=0.017). Both glucose measures, but not NEFA, were positively associated with higher P wave terminal force in V1 (PTFV1); the association remained significant only for postload glucose when the two measures were entered together (β per SD increment=138 μV{\textperiodcentered}ms, 95\% CI 15 to 260, p=0.028). Exploratory analyses showed significant interaction by sex for fasting NEFA (p=0.044) and postload glucose (p=0.015) relative to AF, with relationships stronger in women. For postload glucose, the association with incident AF was observed among women but not among men.

CONCLUSIONS: Among older adults, postload glucose was positively associated with incident AF, with consistent findings for PTFV1. In exploratory analyses, the relationship with AF appeared specific to women. These findings require further study but suggest that interventions to address postprandial dysglycaemia late in life might reduce AF.

}, issn = {1468-201X}, doi = {10.1136/heartjnl-2022-321633}, author = {Pellegrini, Cara N and B{\r u}zkov{\'a}, Petra and Oesterle, Adam and Heckbert, Susan R and Tracy, Russell P and Siscovick, David S and Mukamal, Kenneth J and Djouss{\'e}, Luc and Kizer, Jorge R} } @article {9257, title = {Fasting and Post-Load Glucose and Non-Esterified Fatty Acids and Risk of Heart Failure and its Subtypes in Older Adults.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2022}, month = {2022 Nov 14}, abstract = {

BACKGROUND: Glucose and non-esterified fatty acids (NEFA) are myocardial fuels whose fasting and post-prandial levels are under different homeostatic regulation. The relationships of fasting and post-load glucose and NEFA with incident heart failure (HF) remain incompletely defined.

METHODS: Serum glucose and NEFA were measured during fasting and 2 hours post oral glucose tolerance test, performed in Cardiovascular Health Study participants not receiving hypoglycemic medication. Participants with prevalent HF or lacking relevant data were excluded. Outcomes were incident HF (primary), and HF with preserved (HFpEF) and reduced (HFrEF) ejection fraction (secondary).

RESULTS: Among 2238 participants (age 78{\textpm}4) with median follow-up of 9.9 years, there were 737 HF events. After adjustment for demographic and lifestyle factors, both fasting (HR=1.11 per SD [95\% CI=1.01-1.23], p=0.040) and post-load (HR=1.14 per SD [1.05-1.24], p=0.002) glucose were significantly associated with incident HF. No association was seen for fasting or post-load NEFA. Upon mutual adjustment, only post-load glucose (HR=1.11 [1.003-1.22], p=0.044), but not fasting glucose (HR=1.06 [0.94-1.20], p=0.340), remained associated with HF. Further adjustment for cardiovascular disease and other risk factors in the causal pathway did not affect the association for post-load glucose, but eliminated that for fasting glucose. Associations for fasting and post-load glucose appeared stronger with higher adiposity, and were observed specifically for HFrEF, but not HFpEF.

CONCLUSIONS: Fasting and post-load glucose, but not NEFA, were associated with incident HF. The association was especially robust for post-load glucose, suggesting that pathways involved in post-prandial dysglycemia could offer new targets for HF prevention late in life.

}, issn = {1758-535X}, doi = {10.1093/gerona/glac229}, author = {Oesterle, Adam and B{\r u}zkov{\'a}, Petra and Pellegrini, Cara and Hirsch, Calvin and Tracy, Russell P and Siscovick, David S and Djouss{\'e}, Luc and Mukamal, Ken J and Kizer, Jorge R} } @article {9253, title = {A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies.}, journal = {Nat Methods}, volume = {19}, year = {2022}, month = {2022 Dec}, pages = {1599-1611}, abstract = {

Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate multiple functional annotations. In non-gene-centric analysis, STAARpipeline uses SCANG-STAAR to incorporate dynamic window sizes and multiple functional annotations. We apply STAARpipeline to identify noncoding RV sets associated with four lipid traits in 21,015 discovery samples from the Trans-Omics for Precision Medicine (TOPMed) program and replicate several of them in an additional 9,123 TOPMed samples. We also analyze five non-lipid TOPMed traits.

}, keywords = {Genetic Variation, Genome, Genome-Wide Association Study, Humans, Phenotype, Whole Genome Sequencing}, issn = {1548-7105}, doi = {10.1038/s41592-022-01640-x}, author = {Li, Zilin and Li, Xihao and Zhou, Hufeng and Gaynor, Sheila M and Selvaraj, Margaret Sunitha and Arapoglou, Theodore and Quick, Corbin and Liu, Yaowu and Chen, Han and Sun, Ryan and Dey, Rounak and Arnett, Donna K and Auer, Paul L and Bielak, Lawrence F and Bis, Joshua C and Blackwell, Thomas W and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Conomos, Matthew P and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and de Vries, Paul S and Duggirala, Ravindranath and Franceschini, Nora and Freedman, Barry I and G{\"o}ring, Harald H H and Guo, Xiuqing and Kalyani, Rita R and Kooperberg, Charles and Kral, Brian G and Lange, Leslie A and Lin, Bridget M and Manichaikul, Ani and Manning, Alisa K and Martin, Lisa W and Mathias, Rasika A and Meigs, James B and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Raffield, Laura M and Redline, Susan and Reiner, Alexander P and Reupena, Muagututi{\textquoteright}a Sefuiva and Rice, Kenneth M and Rich, Stephen S and Smith, Jennifer A and Taylor, Kent D and Taub, Margaret A and Vasan, Ramachandran S and Weeks, Daniel E and Wilson, James G and Yanek, Lisa R and Zhao, Wei and Rotter, Jerome I and Willer, Cristen J and Natarajan, Pradeep and Peloso, Gina M and Lin, Xihong} } @article {9186, title = {{Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {09}, pages = {5144}, abstract = {250,000 individuals) we identify 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identify associations with Mendelian disease genes. Enrichments are observed in established pathways for QT and JT, and previously unreported genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast for QRS, connective tissue components and processes for cell growth and extracellular matrix interactions are significantly enriched. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlight potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization.}, author = {Young, W. J. and Lahrouchi, N. and Isaacs, A. and Duong, T. and Foco, L. and Ahmed, F. and Brody, J. A. and Salman, R. and Noordam, R. and Benjamins, J. W. and Haessler, J. and Lyytik{\"a}inen, L. P. and Repetto, L. and Concas, M. P. and van den Berg, M. E. and Weiss, S. and Baldassari, A. R. and Bartz, T. M. and Cook, J. P. and Evans, D. S. and Freudling, R. and Hines, O. and Isaksen, J. L. and Lin, H. and Mei, H. and Moscati, A. and M{\"u}ller-Nurasyid, M. and Nursyifa, C. and Qian, Y. and Richmond, A. and Roselli, C. and Ryan, K. A. and Tarazona-Santos, E. and Th{\'e}riault, S. and van Duijvenboden, S. and Warren, H. R. and Yao, J. and Raza, D. and Aeschbacher, S. and Ahlberg, G. and Alonso, A. and Andreasen, L. and Bis, J. C. and Boerwinkle, E. and Campbell, A. and Catamo, E. and Cocca, M. and Cutler, M. J. and Darbar, D. and De Grandi, A. and De Luca, A. and Ding, J. and Ellervik, C. and Ellinor, P. T. and Felix, S. B. and Froguel, P. and Fuchsberger, C. and G{\"o}gele, M. and Graff, C. and Graff, M. and Guo, X. and Hansen, T. and Heckbert, S. R. and Huang, P. L. and Huikuri, H. V. and Hutri-K{\"a}h{\"o}nen, N. and Ikram, M. A. and Jackson, R. D. and Junttila, J. and Kavousi, M. and Kors, J. A. and Leal, T. P. and Lemaitre, R. N. and Lin, H. J. and Lind, L. and Linneberg, A. and Liu, S. and Macfarlane, P. W. and Mangino, M. and Meitinger, T. and Mezzavilla, M. and Mishra, P. P. and Mitchell, R. N. and Mononen, N. and Montasser, M. E. and Morrison, A. C. and Nauck, M. and Nauffal, V. and Navarro, P. and Nikus, K. and Pare, G. and Patton, K. K. and Pelliccione, G. and Pittman, A. and Porteous, D. J. and Pramstaller, P. P. and Preuss, M. H. and Raitakari, O. T. and Reiner, A. P. and Ribeiro, A. L. P. and Rice, K. M. and Risch, L. and Schlessinger, D. and Schotten, U. and Schurmann, C. and Shen, X. and Shoemaker, M. B. and Sinagra, G. and Sinner, M. F. and Soliman, E. Z. and Stoll, M. and Strauch, K. and Tarasov, K. and Taylor, K. D. and Tinker, A. and Trompet, S. and Uitterlinden, A. and V{\"o}lker, U. and V{\"o}lzke, H. and Waldenberger, M. and Weng, L. C. and Whitsel, E. A. and Wilson, J. G. and Avery, C. L. and Conen, D. and Correa, A. and Cucca, F. and D{\"o}rr, M. and Gharib, S. A. and Girotto, G. and Grarup, N. and Hayward, C. and Jamshidi, Y. and Jarvelin, M. R. and Jukema, J. W. and K{\"a}{\"a}b, S. and K{\"a}h{\"o}nen, M. and Kanters, J. K. and Kooperberg, C. and Lehtim{\"a}ki, T. and Lima-Costa, M. F. and Liu, Y. and Loos, R. J. F. and Lubitz, S. A. and Mook-Kanamori, D. O. and Morris, A. P. and O{\textquoteright}Connell, J. R. and Olesen, M. S. and Orini, M. and Padmanabhan, S. and Pattaro, C. and Peters, A. and Psaty, B. M. and Rotter, J. I. and Stricker, B. and van der Harst, P. and van Duijn, C. M. and Verweij, N. and Wilson, J. F. and Arking, D. E. and Ramirez, J. and Lambiase, P. D. and Sotoodehnia, N. and Mifsud, B. and Newton-Cheh, C. and Munroe, P. B.} } @article {9312, title = {{Genetic and clinical determinants of abdominal aortic diameter: genome-wide association studies, exome array data and Mendelian randomization study}, journal = {Hum Mol Genet}, volume = {31}, year = {2022}, month = {Oct}, pages = {3566{\textendash}3579}, abstract = {0.0001), known risk factors for AAA, consistent with a causal association with AAD. Our findings point to new biology as well as highlighting gene regions in mechanisms that have previously been implicated in the genetics of other vascular diseases.}, author = {Portilla-Fernandez, E. and Klarin, D. and Hwang, S. J. and Biggs, M. L. and Bis, J. C. and Weiss, S. and Rospleszcz, S. and Natarajan, P. and Hoffmann, U. and Rogers, I. S. and Truong, Q. A. and lker, U. and rr, M. and low, R. and Criqui, M. H. and Allison, M. and Ganesh, S. K. and Yao, J. and Waldenberger, M. and Bamberg, F. and Rice, K. M. and Essers, J. and Kapteijn, D. M. C. and van der Laan, S. W. and de Knegt, R. J. and Ghanbari, M. and Felix, J. F. and Ikram, M. A. and Kavousi, M. and Uitterlinden, A. G. and Roks, A. J. M. and Danser, A. H. J. and Tsao, P. S. and Damrauer, S. M. and Guo, X. and Rotter, J. I. and Psaty, B. M. and Kathiresan, S. and lzke, H. and Peters, A. and Johnson, C. and Strauch, K. and Meitinger, T. and O{\textquoteright}Donnell, C. J. and Dehghan, A.} } @article {9093, title = {Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies.}, journal = {Kidney Int}, year = {2022}, month = {2022 Jun 16}, abstract = {

Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genome-wide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR-baseline (11 novel, one known for this phenotype), including nine variants robustly associated across models were identified. All loci for eGFR-decline were known for cross-sectional eGFR and thus distinguished a subgroup of eGFR loci. Seven of the nine variants showed variant-by-age interaction on eGFR cross section (further about 350,000 individuals), which linked genetic associations for eGFR-decline with age-dependency of genetic cross-section associations. Clinically important were two to four-fold greater genetic effects on eGFR-decline in high-risk subgroups. Five variants associated also with chronic kidney disease progression mapped to genes with functional in-silico evidence (UMOD, SPATA7, GALNTL5, TPPP). An unfavorable versus favorable nine-variant genetic profile showed increased risk odds ratios of 1.35 for kidney failure (95\% confidence intervals 1.03-1.77) and 1.27 for acute kidney injury (95\% confidence intervals 1.08-1.50) in over 2000 cases each, with matched controls). Thus, we provide a large data resource, genetic loci, and prioritized genes for kidney function decline, which help inform drug development pipelines revealing important insights into the age-dependency of kidney function genetics.

}, issn = {1523-1755}, doi = {10.1016/j.kint.2022.05.021}, author = {Gorski, Mathias and Rasheed, Humaira and Teumer, Alexander and Thomas, Laurent F and Graham, Sarah E and Sveinbjornsson, Gardar and Winkler, Thomas W and G{\"u}nther, Felix and Stark, Klaus J and Chai, Jin-Fang and Tayo, Bamidele O and Wuttke, Matthias and Li, Yong and Tin, Adrienne and Ahluwalia, Tarunveer S and Arnl{\"o}v, Johan and {\r A}svold, Bj{\o}rn Olav and Bakker, Stephan J L and Banas, Bernhard and Bansal, Nisha and Biggs, Mary L and Biino, Ginevra and B{\"o}hnke, Michael and Boerwinkle, Eric and Bottinger, Erwin P and Brenner, Hermann and Brumpton, Ben and Carroll, Robert J and Chaker, Layal and Chalmers, John and Chee, Miao-Li and Chee, Miao-Ling and Cheng, Ching-Yu and Chu, Audrey Y and Ciullo, Marina and Cocca, Massimiliano and Cook, James P and Coresh, Josef and Cusi, Daniele and de Borst, Martin H and Degenhardt, Frauke and Eckardt, Kai-Uwe and Endlich, Karlhans and Evans, Michele K and Feitosa, Mary F and Franke, Andre and Freitag-Wolf, Sandra and Fuchsberger, Christian and Gampawar, Piyush and Gansevoort, Ron T and Ghanbari, Mohsen and Ghasemi, Sahar and Giedraitis, Vilmantas and Gieger, Christian and Gudbjartsson, Daniel F and Hallan, Stein and Hamet, Pavel and Hishida, Asahi and Ho, Kevin and Hofer, Edith and Holleczek, Bernd and Holm, Hilma and Hoppmann, Anselm and Horn, Katrin and Hutri-K{\"a}h{\"o}nen, Nina and Hveem, Kristian and Hwang, Shih-Jen and Ikram, M Arfan and Josyula, Navya Shilpa and Jung, Bettina and K{\"a}h{\"o}nen, Mika and Karabegovi{\'c}, Irma and Khor, Chiea-Chuen and Koenig, Wolfgang and Kramer, Holly and Kr{\"a}mer, Bernhard K and Kuhnel, Brigitte and Kuusisto, Johanna and Laakso, Markku and Lange, Leslie A and Lehtim{\"a}ki, Terho and Li, Man and Lieb, Wolfgang and Lind, Lars and Lindgren, Cecilia M and Loos, Ruth J F and Lukas, Mary Ann and Lyytik{\"a}inen, Leo-Pekka and Mahajan, Anubha and Matias-Garcia, Pamela R and Meisinger, Christa and Meitinger, Thomas and Melander, Olle and Milaneschi, Yuri and Mishra, Pashupati P and Mononen, Nina and Morris, Andrew P and Mychaleckyj, Josyf C and Nadkarni, Girish N and Naito, Mariko and Nakatochi, Masahiro and Nalls, Mike A and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M and Nutile, Teresa and O{\textquoteright}Donoghue, Michelle L and O{\textquoteright}Connell, Jeffrey and Olafsson, Isleifur and Orho-Melander, Marju and Parsa, Afshin and Pendergrass, Sarah A and Penninx, Brenda W J H and Pirastu, Mario and Preuss, Michael H and Psaty, Bruce M and Raffield, Laura M and Raitakari, Olli T and Rheinberger, Myriam and Rice, Kenneth M and Rizzi, Federica and Rosenkranz, Alexander R and Rossing, Peter and Rotter, Jerome I and Ruggiero, Daniela and Ryan, Kathleen A and Sabanayagam, Charumathi and Salvi, Erika and Schmidt, Helena and Schmidt, Reinhold and Scholz, Markus and Sch{\"o}ttker, Ben and Schulz, Christina-Alexandra and Sedaghat, Sanaz and Shaffer, Christian M and Sieber, Karsten B and Sim, Xueling and Sims, Mario and Snieder, Harold and Stanzick, Kira J and Thorsteinsdottir, Unnur and Stocker, Hannah and Strauch, Konstantin and Stringham, Heather M and Sulem, Patrick and Szymczak, Silke and Taylor, Kent D and Thio, Chris H L and Tremblay, Johanne and Vaccargiu, Simona and van der Harst, Pim and van der Most, Peter J and Verweij, Niek and V{\"o}lker, Uwe and Wakai, Kenji and Waldenberger, Melanie and Wallentin, Lars and Wallner, Stefan and Wang, Judy and Waterworth, Dawn M and White, Harvey D and Willer, Cristen J and Wong, Tien-Yin and Woodward, Mark and Yang, Qiong and Yerges-Armstrong, Laura M and Zimmermann, Martina and Zonderman, Alan B and Bergler, Tobias and Stefansson, Kari and B{\"o}ger, Carsten A and Pattaro, Cristian and K{\"o}ttgen, Anna and Kronenberg, Florian and Heid, Iris M} } @article {9169, title = {Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning.}, journal = {Mol Psychiatry}, year = {2022}, month = {2022 Aug 16}, abstract = {

Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.

}, issn = {1476-5578}, doi = {10.1038/s41380-022-01710-8}, author = {Lahti, Jari and Tuominen, Samuli and Yang, Qiong and Pergola, Giulio and Ahmad, Shahzad and Amin, Najaf and Armstrong, Nicola J and Beiser, Alexa and Bey, Katharina and Bis, Joshua C and Boerwinkle, Eric and Bressler, Jan and Campbell, Archie and Campbell, Harry and Chen, Qiang and Corley, Janie and Cox, Simon R and Davies, Gail and De Jager, Philip L and Derks, Eske M and Faul, Jessica D and Fitzpatrick, Annette L and Fohner, Alison E and Ford, Ian and Fornage, Myriam and Gerring, Zachary and Grabe, Hans J and Grodstein, Francine and Gudnason, Vilmundur and Simonsick, Eleanor and Holliday, Elizabeth G and Joshi, Peter K and Kajantie, Eero and Kaprio, Jaakko and Karell, Pauliina and Kleineidam, Luca and Knol, Maria J and Kochan, Nicole A and Kwok, John B and Leber, Markus and Lam, Max and Lee, Teresa and Li, Shuo and Loukola, Anu and Luck, Tobias and Marioni, Riccardo E and Mather, Karen A and Medland, Sarah and Mirza, Saira S and Nalls, Mike A and Nho, Kwangsik and O{\textquoteright}Donnell, Adrienne and Oldmeadow, Christopher and Painter, Jodie and Pattie, Alison and Reppermund, Simone and Risacher, Shannon L and Rose, Richard J and Sadashivaiah, Vijay and Scholz, Markus and Satizabal, Claudia L and Schofield, Peter W and Schraut, Katharina E and Scott, Rodney J and Simino, Jeannette and Smith, Albert V and Smith, Jennifer A and Stott, David J and Surakka, Ida and Teumer, Alexander and Thalamuthu, Anbupalam and Trompet, Stella and Turner, Stephen T and van der Lee, Sven J and Villringer, Arno and V{\"o}lker, Uwe and Wilson, Robert S and Wittfeld, Katharina and Vuoksimaa, Eero and Xia, Rui and Yaffe, Kristine and Yu, Lei and Zare, Habil and Zhao, Wei and Ames, David and Attia, John and Bennett, David A and Brodaty, Henry and Chasman, Daniel I and Goldman, Aaron L and Hayward, Caroline and Ikram, M Arfan and Jukema, J Wouter and Kardia, Sharon L R and Lencz, Todd and Loeffler, Markus and Mattay, Venkata S and Palotie, Aarno and Psaty, Bruce M and Ramirez, Alfredo and Ridker, Paul M and Riedel-Heller, Steffi G and Sachdev, Perminder S and Saykin, Andrew J and Scherer, Martin and Schofield, Peter R and Sidney, Stephen and Starr, John M and Trollor, Julian and Ulrich, William and Wagner, Michael and Weir, David R and Wilson, James F and Wright, Margaret J and Weinberger, Daniel R and Debette, Stephanie and Eriksson, Johan G and Mosley, Thomas H and Launer, Lenore J and van Duijn, Cornelia M and Deary, Ian J and Seshadri, Sudha and R{\"a}ikk{\"o}nen, Katri} } @article {9103, title = {{Genome-wide studies reveal factors associated with circulating uromodulin and its relationships to complex diseases}, journal = {JCI Insight}, volume = {7}, year = {2022}, month = {05}, abstract = {Uromodulin (UMOD) is a major risk gene for monogenic and complex forms of kidney disease. The encoded kidney-specific protein uromodulin is highly abundant in urine and related to chronic kidney disease, hypertension, and pathogen defense. To gain insights into potential systemic roles, we performed genome-wide screens of circulating uromodulin using complementary antibody-based and aptamer-based assays. We detected 3 and 10 distinct significant loci, respectively. Integration of antibody-based results at the UMOD locus with functional genomics data (RNA-Seq, ATAC-Seq, Hi-C) of primary human kidney tissue highlighted an upstream variant with differential accessibility and transcription in uromodulin-synthesizing kidney cells as underlying the observed cis effect. Shared association patterns with complex traits, including chronic kidney disease and blood pressure, placed the PRKAG2 locus in the same pathway as UMOD. Experimental validation of the third antibody-based locus, B4GALNT2, showed that the p.Cys466Arg variant of the encoded N-acetylgalactosaminyltransferase had a loss-of-function effect leading to higher serum uromodulin levels. Aptamer-based results pointed to enzymes writing glycan marks present on uromodulin and to their receptors in the circulation, suggesting that this assay permits investigating uromodulin{\textquoteright}s complex glycosylation rather than its quantitative levels. Overall, our study provides insights into circulating uromodulin and its emerging functions.}, author = {Li, Y. and Cheng, Y. and Consolato, F. and Schiano, G. and Chong, M. R. and Pietzner, M. and Nguyen, N. Q. H. and Scherer, N. and Biggs, M. L. and Kleber, M. E. and Haug, S. and G{\"o}{\c c}men, B. and Pigeyre, M. and Sekula, P. and Steinbrenner, I. and Schlosser, P. and Joseph, C. B. and Brody, J. A. and Grams, M. E. and Hayward, C. and Schultheiss, U. T. and Kr{\"a}mer, B. K. and Kronenberg, F. and Peters, A. and Seissler, J. and Steubl, D. and Then, C. and Wuttke, M. and M{\"a}rz, W. and Eckardt, K. U. and Gieger, C. and Boerwinkle, E. and Psaty, B. M. and Coresh, J. and Oefner, P. J. and Pare, G. and Langenberg, C. and Scherberich, J. E. and Yu, B. and Akilesh, S. and Devuyst, O. and Rampoldi, L. and K{\"o}ttgen, A.} } @article {9247, title = {Immune cell subpopulations as risk factors for atrial fibrillation: The Cardiovascular Health Study and Multi-Ethnic Study of Atherosclerosis.}, journal = {Heart Rhythm}, year = {2022}, month = {2022 Oct 18}, issn = {1556-3871}, doi = {10.1016/j.hrthm.2022.10.012}, author = {Floyd, James S and Sitlani, Colleen M and Doyle, Margaret F and Feinstein, Matthew J and Olson, Nels C and Heckbert, Susan R and Huber, Sally A and Tracy, Russell P and Psaty, Bruce M and Delaney, Joseph A C} } @article {9250, title = {{Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis}, journal = {Genome Biol}, volume = {23}, year = {2022}, month = {Dec}, pages = {268}, abstract = {Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery.\ 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3-5\% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism.\ Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.}, author = {Kanoni, S. and Graham, S. E. and Wang, Y. and Surakka, I. and Ramdas, S. and Zhu, X. and Clarke, S. L. and Bhatti, K. F. and Vedantam, S. and Winkler, T. W. and Locke, A. E. and Marouli, E. and Zajac, G. J. M. and Wu, K. H. and Ntalla, I. and Hui, Q. and Klarin, D. and Hilliard, A. T. and Wang, Z. and Xue, C. and Thorleifsson, G. and Helgadottir, A. and Gudbjartsson, D. F. and Holm, H. and Olafsson, I. and Hwang, M. Y. and Han, S. and Akiyama, M. and Sakaue, S. and Terao, C. and Kanai, M. and Zhou, W. and Brumpton, B. M. and Rasheed, H. and Havulinna, A. S. and Veturi, Y. and Pacheco, J. A. and Rosenthal, E. A. and Lingren, T. and Feng, Q. and Kullo, I. J. and Narita, A. and Takayama, J. and Martin, H. C. and Hunt, K. A. and Trivedi, B. and Haessler, J. and Giulianini, F. and Bradford, Y. and Miller, J. E. and Campbell, A. and Lin, K. and Millwood, I. Y. and Rasheed, A. and Hindy, G. and Faul, J. D. and Zhao, W. and Weir, D. R. and Turman, C. and Huang, H. and Graff, M. and Choudhury, A. and Sengupta, D. and Mahajan, A. and Brown, M. R. and Zhang, W. and Yu, K. and Schmidt, E. M. and Pandit, A. and Gustafsson, S. and Yin, X. and Luan, J. and Zhao, J. H. and Matsuda, F. and Jang, H. M. and Yoon, K. and Medina-Gomez, C. and Pitsillides, A. and Hottenga, J. J. and Wood, A. R. and Ji, Y. and Gao, Z. and Haworth, S. and Yousri, N. A. and Mitchell, R. E. and Chai, J. F. and Aadahl, M. and Bjerregaard, A. A. and Yao, J. and Manichaikul, A. and Hwu, C. M. and Hung, Y. J. and Warren, H. R. and Ramirez, J. and Bork-Jensen, J. and rhus, L. L. and Goel, A. and Sabater-Lleal, M. and Noordam, R. and Mauro, P. and Matteo, F. and McDaid, A. F. and Marques-Vidal, P. and Wielscher, M. and Trompet, S. and Sattar, N. and llehave, L. T. and Munz, M. and Zeng, L. and Huang, J. and Yang, B. and Poveda, A. and Kurbasic, A. and Lamina, C. and Forer, L. and Scholz, M. and Galesloot, T. E. and Bradfield, J. P. and Ruotsalainen, S. E. and Daw, E. and Zmuda, J. M. and Mitchell, J. S. and Fuchsberger, C. and Christensen, H. and Brody, J. A. and Vazquez-Moreno, M. and Feitosa, M. F. and Wojczynski, M. K. and Wang, Z. and Preuss, M. H. and Mangino, M. and Christofidou, P. and Verweij, N. and Benjamins, J. W. and Engmann, J. and Tsao, N. L. and Verma, A. and Slieker, R. C. and Lo, K. S. and Zilhao, N. R. and Le, P. and Kleber, M. E. and Delgado, G. E. and Huo, S. and Ikeda, D. D. and Iha, H. and Yang, J. and Liu, J. and Demirkan, A. and Leonard, H. L. and Marten, J. and Frank, M. and Schmidt, B. and Smyth, L. J. and adas-Garre, M. and Wang, C. and Nakatochi, M. and Wong, A. and nen, N. and Sim, X. and Xia, R. and Huerta-Chagoya, A. and Fernandez-Lopez, J. C. and Lyssenko, V. and Nongmaithem, S. S. and Bayyana, S. and Stringham, H. M. and Irvin, M. R. and Oldmeadow, C. and Kim, H. N. and Ryu, S. and Timmers, P. R. H. J. and Arbeeva, L. and Dorajoo, R. and Lange, L. A. and Prasad, G. and s-Motta, L. and Pauper, M. and Long, J. and Li, X. and Theusch, E. and Takeuchi, F. and Spracklen, C. N. and Loukola, A. and Bollepalli, S. and Warner, S. C. and Wang, Y. X. and Wei, W. B. and Nutile, T. and Ruggiero, D. and Sung, Y. J. and Chen, S. and Liu, F. and Yang, J. and Kentistou, K. A. and Banas, B. and Nardone, G. G. and Meidtner, K. and Bielak, L. F. and Smith, J. A. and Hebbar, P. and Farmaki, A. E. and Hofer, E. and Lin, M. and Concas, M. P. and Vaccargiu, S. and van der Most, P. J. and nen, N. and Cade, B. E. and van der Laan, S. W. and Chitrala, K. N. and Weiss, S. and Bentley, A. R. and Doumatey, A. P. and Adeyemo, A. A. and Lee, J. Y. and Petersen, E. R. B. and Nielsen, A. A. and Choi, H. S. and Nethander, M. and Freitag-Wolf, S. and Southam, L. and Rayner, N. W. and Wang, C. A. and Lin, S. Y. and Wang, J. S. and Couture, C. and inen, L. P. and Nikus, K. and Cuellar-Partida, G. and Vestergaard, H. and Hidalgo, B. and Giannakopoulou, O. and Cai, Q. and Obura, M. O. and van Setten, J. and Li, X. and Liang, J. and Tang, H. and Terzikhan, N. and Shin, J. H. and Jackson, R. D. and Reiner, A. P. and Martin, L. W. and Chen, Z. and Li, L. and Kawaguchi, T. and Thiery, J. and Bis, J. C. and Launer, L. J. and Li, H. and Nalls, M. A. and Raitakari, O. T. and Ichihara, S. and Wild, S. H. and Nelson, C. P. and Campbell, H. and ger, S. and Nabika, T. and Al-Mulla, F. and Niinikoski, H. and Braund, P. S. and Kolcic, I. and Kovacs, P. and Giardoglou, T. and Katsuya, T. and de Kleijn, D. and de Borst, G. J. and Kim, E. K. and Adams, H. H. H. and Ikram, M. A. and Zhu, X. and Asselbergs, F. W. and Kraaijeveld, A. O. and Beulens, J. W. J. and Shu, X. O. and Rallidis, L. S. and Pedersen, O. and Hansen, T. and Mitchell, P. and Hewitt, A. W. and nen, M. and russe, L. and Bouchard, C. and njes, A. and Chen, Y. I. and Pennell, C. E. and Mori, T. A. and Lieb, W. and Franke, A. and Ohlsson, C. and m, D. and Cho, Y. S. and Lee, H. and Yuan, J. M. and Koh, W. P. and Rhee, S. Y. and Woo, J. T. and Heid, I. M. and Stark, K. J. and Zimmermann, M. E. and lzke, H. and Homuth, G. and Evans, M. K. and Zonderman, A. B. and Polasek, O. and Pasterkamp, G. and Hoefer, I. E. and Redline, S. and Pahkala, K. and Oldehinkel, A. J. and Snieder, H. and Biino, G. and Schmidt, R. and Schmidt, H. and Bandinelli, S. and Dedoussis, G. and Thanaraj, T. A. and Kardia, S. L. R. and Peyser, P. A. and Kato, N. and Schulze, M. B. and Girotto, G. and ger, C. A. and Jung, B. and Joshi, P. K. and Bennett, D. A. and De Jager, P. L. and Lu, X. and Mamakou, V. and Brown, M. and Caulfield, M. J. and Munroe, P. B. and Guo, X. and Ciullo, M. and Jonas, J. B. and Samani, N. J. and Kaprio, J. and Pajukanta, P. and -Luna, T. and Aguilar-Salinas, C. A. and Adair, L. S. and Bechayda, S. A. and de Silva, H. J. and Wickremasinghe, A. R. and Krauss, R. M. and Wu, J. Y. and Zheng, W. and Hollander, A. I. and Bharadwaj, D. and Correa, A. and Wilson, J. G. and Lind, L. and Heng, C. K. and Nelson, A. E. and Golightly, Y. M. and Wilson, J. F. and Penninx, B. and Kim, H. L. and Attia, J. and Scott, R. J. and Rao, D. C. and Arnett, D. K. and Hunt, S. C. and Walker, M. and Koistinen, H. A. and Chandak, G. R. and Mercader, J. M. and Costanzo, M. C. and Jang, D. and Burtt, N. P. and Villalpando, C. G. and Orozco, L. and Fornage, M. and Tai, E. and van Dam, R. M. and ki, T. and Chaturvedi, N. and Yokota, M. and Liu, J. and Reilly, D. F. and McKnight, A. J. and Kee, F. and ckel, K. H. and McCarthy, M. I. and Palmer, C. N. A. and Vitart, V. and Hayward, C. and Simonsick, E. and van Duijn, C. M. and Jin, Z. B. and Qu, J. and Hishigaki, H. and Lin, X. and rz, W. and Gudnason, V. and Tardif, J. C. and Lettre, G. and Hart, L. M. {\textquoteright} and Elders, P. J. M. and Damrauer, S. M. and Kumari, M. and Kivimaki, M. and van der Harst, P. and Spector, T. D. and Loos, R. J. F. and Province, M. A. and Parra, E. J. and Cruz, M. and Psaty, B. M. and Brandslund, I. and Pramstaller, P. P. and Rotimi, C. N. and Christensen, K. and Ripatti, S. and n, E. and Hakonarson, H. and Grant, S. F. A. and Kiemeney, L. A. L. M. and de Graaf, J. and Loeffler, M. and Kronenberg, F. and Gu, D. and Erdmann, J. and Schunkert, H. and Franks, P. W. and Linneberg, A. and Jukema, J. W. and Khera, A. V. and {\"o}, M. and Jarvelin, M. R. and Kutalik, Z. and Francesco, C. and Mook-Kanamori, D. O. and van Dijk, K. W. and Watkins, H. and Strachan, D. P. and Grarup, N. and Sever, P. and Poulter, N. and Chuang, L. M. and Rotter, J. I. and Dantoft, T. M. and Karpe, F. and Neville, M. J. and Timpson, N. J. and Cheng, C. Y. and Wong, T. Y. and Khor, C. C. and Li, H. and Sabanayagam, C. and Peters, A. and Gieger, C. and Hattersley, A. T. and Pedersen, N. L. and Magnusson, P. K. E. and Boomsma, D. I. and Willemsen, A. H. M. and Cupples, L. and van Meurs, J. B. J. and Ghanbari, M. and Gordon-Larsen, P. and Huang, W. and Kim, Y. J. and Tabara, Y. and Wareham, N. J. and Langenberg, C. and Zeggini, E. and Kuusisto, J. and Laakso, M. and Ingelsson, E. and Abecasis, G. and Chambers, J. C. and Kooner, J. S. and de Vries, P. S. and Morrison, A. C. and Hazelhurst, S. and Ramsay, M. and North, K. E. and Daviglus, M. and Kraft, P. and Martin, N. G. and Whitfield, J. B. and Abbas, S. and Saleheen, D. and Walters, R. G. and Holmes, M. V. and Black, C. and Smith, B. H. and Baras, A. and Justice, A. E. and Buring, J. E. and Ridker, P. M. and Chasman, D. I. and Kooperberg, C. and Tamiya, G. and Yamamoto, M. and van Heel, D. A. and Trembath, R. C. and Wei, W. Q. and Jarvik, G. P. and Namjou, B. and Hayes, M. G. and Ritchie, M. D. and Jousilahti, P. and Salomaa, V. and Hveem, K. and svold, B. O. and Kubo, M. and Kamatani, Y. and Okada, Y. and Murakami, Y. and Kim, B. J. and Thorsteinsdottir, U. and Stefansson, K. and Zhang, J. and Chen, Y. and Ho, Y. L. and Lynch, J. A. and Rader, D. J. and Tsao, P. S. and Chang, K. M. and Cho, K. and O{\textquoteright}Donnell, C. J. and Gaziano, J. M. and Wilson, P. W. F. and Frayling, T. M. and Hirschhorn, J. N. and Kathiresan, S. and Mohlke, K. L. and Sun, Y. V. and Morris, A. P. and Boehnke, M. and Brown, C. D. and Natarajan, P. and Deloukas, P. and Willer, C. J. and Assimes, T. L. and Peloso, G. M.} } @article {9099, title = {Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension.}, journal = {Hypertension}, year = {2022}, month = {2022 Jun 02}, pages = {101161HYPERTENSIONAHA12219324}, abstract = {

BACKGROUND: The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure.

METHODS: We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants.

RESULTS: Two blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (<5{\texttimes}10). Among them, a rare intergenic variant at novel locus, , was associated with lower systolic blood pressure in stage-1 (beta [SE]=-32.6 [6.0]; =4.99{\texttimes}10) but not stage-2 analysis (=0.11). Furthermore, a novel common variant at the known locus was suggestively associated with diastolic blood pressure in stage-1 (beta [SE]=-0.36 [0.07]; =4.18{\texttimes}10) and attained genome-wide significance in stage-2 (beta [SE]=-0.29 [0.03]; =7.28{\texttimes}10). Nineteen additional signals suggestively associated with blood pressure in meta-analysis of single and aggregate rare variant findings (<1{\texttimes}10 and <1{\texttimes}10, respectively).

DISCUSSION: We report one promising but unconfirmed rare variant for blood pressure and, more importantly, contribute insights for future blood pressure sequencing studies. Our findings suggest promise of aggregate analyses to complement single variant analysis strategies and the need for larger, diverse samples, and family studies to enable robust rare variant identification.

}, issn = {1524-4563}, doi = {10.1161/HYPERTENSIONAHA.122.19324}, author = {Kelly, Tanika N and Sun, Xiao and He, Karen Y and Brown, Michael R and Taliun, Sarah A Gagliano and Hellwege, Jacklyn N and Irvin, Marguerite R and Mi, Xuenan and Brody, Jennifer A and Franceschini, Nora and Guo, Xiuqing and Hwang, Shih-Jen and de Vries, Paul S and Gao, Yan and Moscati, Arden and Nadkarni, Girish N and Yanek, Lisa R and Elfassy, Tali and Smith, Jennifer A and Chung, Ren-Hua and Beitelshees, Amber L and Patki, Amit and Aslibekyan, Stella and Blobner, Brandon M and Peralta, Juan M and Assimes, Themistocles L and Palmas, Walter R and Liu, Chunyu and Bress, Adam P and Huang, Zhijie and Becker, Lewis C and Hwa, Chii-Min and O{\textquoteright}Connell, Jeffrey R and Carlson, Jenna C and Warren, Helen R and Das, Sayantan and Giri, Ayush and Martin, Lisa W and Craig Johnson, W and Fox, Ervin R and Bottinger, Erwin P and Razavi, Alexander C and Vaidya, Dhananjay and Chuang, Lee-Ming and Chang, Yen-Pei C and Naseri, Take and Jain, Deepti and Kang, Hyun Min and Hung, Adriana M and Srinivasasainagendra, Vinodh and Snively, Beverly M and Gu, Dongfeng and Montasser, May E and Reupena, Muagututi{\textquoteright}a Sefuiva and Heavner, Benjamin D and LeFaive, Jonathon and Hixson, James E and Rice, Kenneth M and Wang, Fei Fei and Nielsen, Jonas B and Huang, Jianfeng and Khan, Alyna T and Zhou, Wei and Nierenberg, Jovia L and Laurie, Cathy C and Armstrong, Nicole D and Shi, Mengyao and Pan, Yang and Stilp, Adrienne M and Emery, Leslie and Wong, Quenna and Hawley, Nicola L and Minster, Ryan L and Curran, Joanne E and Munroe, Patricia B and Weeks, Daniel E and North, Kari E and Tracy, Russell P and Kenny, Eimear E and Shimbo, Daichi and Chakravarti, Aravinda and Rich, Stephen S and Reiner, Alex P and Blangero, John and Redline, Susan and Mitchell, Braxton D and Rao, Dabeeru C and Ida Chen, Yii-Der and Kardia, Sharon L R and Kaplan, Robert C and Mathias, Rasika A and He, Jiang and Psaty, Bruce M and Fornage, Myriam and Loos, Ruth J F and Correa, Adolfo and Boerwinkle, Eric and Rotter, Jerome I and Kooperberg, Charles and Edwards, Todd L and Abecasis, Goncalo R and Zhu, Xiaofeng and Levy, Daniel and Arnett, Donna K and Morrison, Alanna C} } @article {9094, title = {Integrative analysis of clinical and epigenetic biomarkers of mortality.}, journal = {Aging Cell}, volume = {21}, year = {2022}, month = {2022 Jun}, pages = {e13608}, abstract = {

DNA methylation (DNAm) has been reported to be associated with many diseases and with mortality. We hypothesized that the integration of DNAm with clinical risk factors would improve mortality prediction. We performed an epigenome-wide association study of whole blood DNAm in relation to mortality in 15 cohorts (n~=~15,013). During a mean follow-up of 10~years, there were 4314 deaths from all causes including 1235 cardiovascular disease (CVD) deaths and 868 cancer deaths. Ancestry-stratified meta-analysis of all-cause mortality identified 163 CpGs in European ancestry (EA) and 17 in African ancestry (AA) participants at p~<~1~{\texttimes}~10 , of which 41 (EA) and 16 (AA) were also associated with CVD death, and 15 (EA) and 9 (AA) with cancer death. We built DNAm-based prediction models for all-cause mortality that predicted mortality risk after adjusting for clinical risk factors. The mortality prediction model trained by integrating DNAm with clinical risk factors showed an improvement in prediction of cancer death with 5\% increase in the C-index in a replication cohort, compared with the model including clinical risk factors alone. Mendelian randomization identified 15 putatively causal CpGs in relation to longevity, CVD, or cancer risk. For example, cg06885782 (in KCNQ4) was positively associated with risk for prostate cancer (Beta~=~1.2, P ~=~4.1~{\texttimes}~10 ) and negatively associated with longevity (Beta~=~-1.9, P ~=~0.02). Pathway analysis revealed that genes associated with mortality-related CpGs are enriched for immune- and cancer-related pathways. We identified replicable DNAm signatures of mortality and demonstrated the potential utility of CpGs as informative biomarkers for prediction of mortality risk.

}, keywords = {Biomarkers, Cardiovascular Diseases, DNA Methylation, Epigenesis, Genetic, Epigenomics, Humans, Male, Neoplasms}, issn = {1474-9726}, doi = {10.1111/acel.13608}, author = {Huan, Tianxiao and Nguyen, Steve and Colicino, Elena and Ochoa-Rosales, Carolina and Hill, W David and Brody, Jennifer A and Soerensen, Mette and Zhang, Yan and Baldassari, Antoine and Elhadad, Mohamed Ahmed and Toshiko, Tanaka and Zheng, Yinan and Domingo-Relloso, Arce and Lee, Dong Heon and Ma, Jiantao and Yao, Chen and Liu, Chunyu and Hwang, Shih-Jen and Joehanes, Roby and Fornage, Myriam and Bressler, Jan and van Meurs, Joyce B J and Debrabant, Birgit and Mengel-From, Jonas and Hjelmborg, Jacob and Christensen, Kaare and Vokonas, Pantel and Schwartz, Joel and Gahrib, Sina A and Sotoodehnia, Nona and Sitlani, Colleen M and Kunze, Sonja and Gieger, Christian and Peters, Annette and Waldenberger, Melanie and Deary, Ian J and Ferrucci, Luigi and Qu, Yishu and Greenland, Philip and Lloyd-Jones, Donald M and Hou, Lifang and Bandinelli, Stefania and Voortman, Trudy and Hermann, Brenner and Baccarelli, Andrea and Whitsel, Eric and Pankow, James S and Levy, Daniel} } @article {9176, title = {Large-scale genome-wide association study of coronary artery disease in genetically diverse populations.}, journal = {Nat Med}, volume = {28}, year = {2022}, month = {2022 08}, pages = {1679-1692}, abstract = {

We report a genome-wide association study (GWAS) of coronary artery disease (CAD) incorporating nearly a quarter of a million cases, in which existing studies are integrated with data from cohorts of white, Black and Hispanic individuals from the Million Veteran Program. We document near equivalent heritability of CAD across multiple ancestral groups, identify 95 novel loci, including nine on the X chromosome, detect eight loci of genome-wide significance in Black and Hispanic individuals, and demonstrate that two common haplotypes at the 9p21 locus are responsible for risk stratification in all populations except those of African origin, in which these haplotypes are virtually absent. Moreover, in the largest GWAS for angiographically derived coronary atherosclerosis performed to date, we find 15 loci of genome-wide significance that robustly overlap with established loci for clinical CAD. Phenome-wide association analyses of novel loci and polygenic risk scores (PRSs) augment signals related to insulin resistance, extend pleiotropic associations of these loci to include smoking and family history, and precisely document the markedly reduced transferability of existing PRSs to Black individuals. Downstream integrative analyses reinforce the critical roles of vascular endothelial, fibroblast, and smooth muscle cells in CAD susceptibility, but also point to a shared biology between atherosclerosis and oncogenesis. This study highlights the value of diverse populations in further characterizing the genetic architecture of CAD.

}, keywords = {Coronary Artery Disease, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1546-170X}, doi = {10.1038/s41591-022-01891-3}, author = {Tcheandjieu, Catherine and Zhu, Xiang and Hilliard, Austin T and Clarke, Shoa L and Napolioni, Valerio and Ma, Shining and Lee, Kyung Min and Fang, Huaying and Chen, Fei and Lu, Yingchang and Tsao, Noah L and Raghavan, Sridharan and Koyama, Satoshi and Gorman, Bryan R and Vujkovic, Marijana and Klarin, Derek and Levin, Michael G and Sinnott-Armstrong, Nasa and Wojcik, Genevieve L and Plomondon, Mary E and Maddox, Thomas M and Waldo, Stephen W and Bick, Alexander G and Pyarajan, Saiju and Huang, Jie and Song, Rebecca and Ho, Yuk-Lam and Buyske, Steven and Kooperberg, Charles and Haessler, Jeffrey and Loos, Ruth J F and Do, Ron and Verbanck, Marie and Chaudhary, Kumardeep and North, Kari E and Avery, Christy L and Graff, Mariaelisa and Haiman, Christopher A and Le Marchand, Lo{\"\i}c and Wilkens, Lynne R and Bis, Joshua C and Leonard, Hampton and Shen, Botong and Lange, Leslie A and Giri, Ayush and Dikilitas, Ozan and Kullo, Iftikhar J and Stanaway, Ian B and Jarvik, Gail P and Gordon, Adam S and Hebbring, Scott and Namjou, Bahram and Kaufman, Kenneth M and Ito, Kaoru and Ishigaki, Kazuyoshi and Kamatani, Yoichiro and Verma, Shefali S and Ritchie, Marylyn D and Kember, Rachel L and Baras, Aris and Lotta, Luca A and Kathiresan, Sekar and Hauser, Elizabeth R and Miller, Donald R and Lee, Jennifer S and Saleheen, Danish and Reaven, Peter D and Cho, Kelly and Gaziano, J Michael and Natarajan, Pradeep and Huffman, Jennifer E and Voight, Benjamin F and Rader, Daniel J and Chang, Kyong-Mi and Lynch, Julie A and Damrauer, Scott M and Wilson, Peter W F and Tang, Hua and Sun, Yan V and Tsao, Philip S and O{\textquoteright}Donnell, Christopher J and Assimes, Themistocles L} } @article {9157, title = {Longitudinal Associations of Plasma TMAO and Related Metabolites with Cognitive Impairment and Dementia in Older Adults: The Cardiovascular Health Study.}, journal = {J Alzheimers Dis}, year = {2022}, month = {2022 Sep 02}, abstract = {

BACKGROUND: Animal studies suggest that gut microbiome metabolites such as trimethylamine N-oxide (TMAO) may influence cognitive function and dementia risk. However potential health effects of TMAO and related metabolites remain unclear.

OBJECTIVE: We examined prospective associations of TMAO, γ-butyrobetaine, crotonobetaine, carnitine, choline, and betaine with risk of cognitive impairment and dementia among older adults aged 65 years and older in the Cardiovascular Health Study (CHS).

METHODS: TMAO and metabolites were measured in stored plasma specimens collected at baseline. Incident cognitive impairment was assessed using the 100-point Modified Mini-Mental State Examination administered serially up to 7 times. Clinical dementia was identified using neuropsychological tests adjudicated by CHS Cognition Study investigators, and by ICD-9 codes from linked Medicare data. Associations of each metabolite with cognitive outcomes were assessed using Cox proportional hazards models.

RESULTS: Over a median of 13 years of follow-up, 529 cases of cognitive impairment, and 522 of dementia were identified. After multivariable adjustment for relevant risk factors, no associations were seen with TMAO, carnitine, choline, or betaine. In contrast, higher crotonobetaine was associated with 20-32\% higher risk of cognitive impairment and dementia per interquintile range (IQR), while γ-butyrobetaine was associated with \~{}25\% lower risk of the same cognitive outcomes per IQR.||Conclusion:These findings suggest that γ-butyrobetaine, crotonobetaine, two gut microbe and host metabolites, are associated with risk of cognitive impairment and dementia. Our results indicate a need for mechanistic studies evaluating potential effects of these metabolites, and their interconversion on brain health, especially later in life.

}, issn = {1875-8908}, doi = {10.3233/JAD-220477}, author = {de Oliveira Otto, Marcia C and Li, Xinmin S and Wang, Zeneng and Siscovick, David and Newman, Anne B and Lai, Heidi Tsz Mung and Nemet, Ina and Lee, Yujin and Wang, Meng and Fretts, Amanda and Lemaitre, Rozenn N and Tang, W H Wilson and Lopez, Oscar and Hazen, Stanley L and Mozaffarian, Dariush} } @article {9160, title = {Lung function impairment and risk of incident heart failure: the NHLBI Pooled Cohorts Study.}, journal = {Eur Heart J}, volume = {43}, year = {2022}, month = {2022 06 14}, pages = {2196-2208}, abstract = {

AIMS: The aim is to evaluate associations of lung function impairment with risk of incident heart failure (HF).

METHODS AND RESULTS: Data were pooled across eight US population-based cohorts that enrolled participants from 1987 to 2004. Participants with self-reported baseline cardiovascular disease were excluded. Spirometry was used to define obstructive [forced expiratory volume in 1 s/forced vital capacity (FEV1/FVC) <0.70] or restrictive (FEV1/FVC >=0.70, FVC <80\%) lung physiology. The incident HF was defined as hospitalization or death caused by HF. In a sub-set, HF events were sub-classified as HF with reduced ejection fraction (HFrEF; EF <50\%) or preserved EF (HFpEF; EF >=50\%). The Fine-Gray proportional sub-distribution hazards models were adjusted for sociodemographic factors, smoking, and cardiovascular risk factors. In models of incident HF sub-types, HFrEF, HFpEF, and non-HF mortality were treated as competing risks. Among 31 677 adults, there were 3344 incident HF events over a median follow-up of 21.0 years. Of 2066 classifiable HF events, 1030 were classified as HFrEF and 1036 as HFpEF. Obstructive [adjusted hazard ratio (HR) 1.17, 95\% confidence interval (CI) 1.07-1.27] and restrictive physiology (adjusted HR 1.43, 95\% CI 1.27-1.62) were associated with incident HF. Obstructive and restrictive ventilatory defects were associated with HFpEF but not HFrEF. The magnitude of the association between restrictive physiology and HFpEF was similar to associations with hypertension, diabetes, and smoking.

CONCLUSION: Lung function impairment was associated with increased risk of incident HF, and particularly incident HFpEF, independent of and to a similar extent as major known cardiovascular risk factors.

}, keywords = {Adult, Heart Failure, Hospitalization, Humans, Lung, National Heart, Lung, and Blood Institute (U.S.), Prognosis, Risk Factors, Stroke Volume, United States}, issn = {1522-9645}, doi = {10.1093/eurheartj/ehac205}, author = {Eckhardt, Christina M and Balte, Pallavi P and Barr, Robert Graham and Bertoni, Alain G and Bhatt, Surya P and Cuttica, Michael and Cassano, Patricia A and Chaves, Paolo and Couper, David and Jacobs, David R and Kalhan, Ravi and Kronmal, Richard and Lange, Leslie and Loehr, Laura and London, Stephanie J and O{\textquoteright}Connor, George T and Rosamond, Wayne and Sanders, Jason and Schwartz, Joseph E and Shah, Amil and Shah, Sanjiv J and Smith, Lewis and White, Wendy and Yende, Sachin and Oelsner, Elizabeth C} } @article {9090, title = {Monocyte subsets, T cell activation profiles, and stroke in men and women: The Multi-Ethnic Study of Atherosclerosis and Cardiovascular Health Study.}, journal = {Atherosclerosis}, volume = {351}, year = {2022}, month = {2022 06}, pages = {18-25}, abstract = {

BACKGROUND AND AIMS: Despite mechanistic data implicating unresolving inflammation in stroke pathogenesis, data regarding circulating immune cell phenotypes - key determinants of inflammation propagation versus resolution - and incident stroke are lacking. Therefore, we aimed to comprehensively define associations of circulating immune phenotypes and activation profiles with incident stroke.

METHODS: We investigated circulating leukocyte phenotypes and activation profiles with incident adjudicated stroke in 2104 diverse adults from the Multi-Ethnic Study of Atherosclerosis (MESA) followed over a median of 16.6 years. Cryopreserved cells from the MESA baseline examination were thawed and myeloid and lymphoid lineage cell subsets were measured using polychromatic flow cytometry and intracellular cytokine activation staining. We analyzed multivariable-adjusted associations of cell phenotypes, as a proportion of parent cell subsets, with incident stroke (overall) and ischemic stroke using Cox regression models.

RESULTS: We observed associations of intermediate monocytes, early-activated CD4 T cells, and both CD4 and CD8 T cells producing interleukin-4 after cytokine stimulation (T and T, respectively) with higher risk for incident stroke; effect sizes ranged from 35\% to 62\% relative increases in risk for stroke. Meanwhile, differentiated and memory T cell phenotypes were associated with lower risk for incident stroke. In sex-stratified analyses, positive and negative associations were especially strong among men but null among women.

CONCLUSIONS: Circulating IL-4 producing T cells and intermediate monocytes were significantly associated with incident stroke over nearly two decades of follow-up. These associations were stronger among men and not among women. Further translational studies are warranted to define more precise targets for prognosis and intervention.

}, keywords = {Atherosclerosis, CD4-Positive T-Lymphocytes, CD8-Positive T-Lymphocytes, Cytokines, Female, Follow-Up Studies, Humans, Incidence, Inflammation, Interleukin-4, Ischemic Stroke, Lymphocyte Activation, Male, Monocytes, Stroke, T-Lymphocyte Subsets}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2022.05.007}, author = {Feinstein, Matthew J and B{\r u}zkov{\'a}, Petra and Olson, Nels C and Doyle, Margaret F and Sitlani, Colleen M and Fohner, Alison E and Huber, Sally A and Floyd, James and Sinha, Arjun and Thorp, Edward B and Landay, Alan and Freiberg, Matthew S and Longstreth, William T and Tracy, Russell P and Psaty, Bruce M and Delaney, Joseph Ac} } @article {9104, title = {Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.}, journal = {Nat Genet}, volume = {54}, year = {2022}, month = {2022 May}, pages = {560-572}, abstract = {

We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9\% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 {\texttimes} 10), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4\% of T2D associations to a single variant with >50\% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background.

}, keywords = {Diabetes Mellitus, Type 2, Ethnicity, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1546-1718}, doi = {10.1038/s41588-022-01058-3}, author = {Mahajan, Anubha and Spracklen, Cassandra N and Zhang, Weihua and Ng, Maggie C Y and Petty, Lauren E and Kitajima, Hidetoshi and Yu, Grace Z and R{\"u}eger, Sina and Speidel, Leo and Kim, Young Jin and Horikoshi, Momoko and Mercader, Josep M and Taliun, Daniel and Moon, Sanghoon and Kwak, Soo-Heon and Robertson, Neil R and Rayner, Nigel W and Loh, Marie and Kim, Bong-Jo and Chiou, Joshua and Miguel-Escalada, Irene and Della Briotta Parolo, Pietro and Lin, Kuang and Bragg, Fiona and Preuss, Michael H and Takeuchi, Fumihiko and Nano, Jana and Guo, Xiuqing and Lamri, Amel and Nakatochi, Masahiro and Scott, Robert A and Lee, Jung-Jin and Huerta-Chagoya, Alicia and Graff, Mariaelisa and Chai, Jin-Fang and Parra, Esteban J and Yao, Jie and Bielak, Lawrence F and Tabara, Yasuharu and Hai, Yang and Steinthorsdottir, Valgerdur and Cook, James P and Kals, Mart and Grarup, Niels and Schmidt, Ellen M and Pan, Ian and Sofer, Tamar and Wuttke, Matthias and Sarnowski, Chloe and Gieger, Christian and Nousome, Darryl and Trompet, Stella and Long, Jirong and Sun, Meng and Tong, Lin and Chen, Wei-Min and Ahmad, Meraj and Noordam, Raymond and Lim, Victor J Y and Tam, Claudia H T and Joo, Yoonjung Yoonie and Chen, Chien-Hsiun and Raffield, Laura M and Lecoeur, C{\'e}cile and Prins, Bram Peter and Nicolas, Aude and Yanek, Lisa R and Chen, Guanjie and Jensen, Richard A and Tajuddin, Salman and Kabagambe, Edmond K and An, Ping and Xiang, Anny H and Choi, Hyeok Sun and Cade, Brian E and Tan, Jingyi and Flanagan, Jack and Abaitua, Fernando and Adair, Linda S and Adeyemo, Adebowale and Aguilar-Salinas, Carlos A and Akiyama, Masato and Anand, Sonia S and Bertoni, Alain and Bian, Zheng and Bork-Jensen, Jette and Brandslund, Ivan and Brody, Jennifer A and Brummett, Chad M and Buchanan, Thomas A and Canouil, Micka{\"e}l and Chan, Juliana C N and Chang, Li-Ching and Chee, Miao-Li and Chen, Ji and Chen, Shyh-Huei and Chen, Yuan-Tsong and Chen, Zhengming and Chuang, Lee-Ming and Cushman, Mary and Das, Swapan K and de Silva, H Janaka and Dedoussis, George and Dimitrov, Latchezar and Doumatey, Ayo P and Du, Shufa and Duan, Qing and Eckardt, Kai-Uwe and Emery, Leslie S and Evans, Daniel S and Evans, Michele K and Fischer, Krista and Floyd, James S and Ford, Ian and Fornage, Myriam and Franco, Oscar H and Frayling, Timothy M and Freedman, Barry I and Fuchsberger, Christian and Genter, Pauline and Gerstein, Hertzel C and Giedraitis, Vilmantas and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez-Villalpando, Maria Elena and Goodarzi, Mark O and Gordon-Larsen, Penny and Gorkin, David and Gross, Myron and Guo, Yu and Hackinger, Sophie and Han, Sohee and Hattersley, Andrew T and Herder, Christian and Howard, Annie-Green and Hsueh, Willa and Huang, Mengna and Huang, Wei and Hung, Yi-Jen and Hwang, Mi Yeong and Hwu, Chii-Min and Ichihara, Sahoko and Ikram, Mohammad Arfan and Ingelsson, Martin and Islam, Md Tariqul and Isono, Masato and Jang, Hye-Mi and Jasmine, Farzana and Jiang, Guozhi and Jonas, Jost B and J{\o}rgensen, Marit E and J{\o}rgensen, Torben and Kamatani, Yoichiro and Kandeel, Fouad R and Kasturiratne, Anuradhani and Katsuya, Tomohiro and Kaur, Varinderpal and Kawaguchi, Takahisa and Keaton, Jacob M and Kho, Abel N and Khor, Chiea-Chuen and Kibriya, Muhammad G and Kim, Duk-Hwan and Kohara, Katsuhiko and Kriebel, Jennifer and Kronenberg, Florian and Kuusisto, Johanna and L{\"a}ll, Kristi and Lange, Leslie A and Lee, Myung-Shik and Lee, Nanette R and Leong, Aaron and Li, Liming and Li, Yun and Li-Gao, Ruifang and Ligthart, Symen and Lindgren, Cecilia M and Linneberg, Allan and Liu, Ching-Ti and Liu, Jianjun and Locke, Adam E and Louie, Tin and Luan, Jian{\textquoteright}an and Luk, Andrea O and Luo, Xi and Lv, Jun and Lyssenko, Valeriya and Mamakou, Vasiliki and Mani, K Radha and Meitinger, Thomas and Metspalu, Andres and Morris, Andrew D and Nadkarni, Girish N and Nadler, Jerry L and Nalls, Michael A and Nayak, Uma and Nongmaithem, Suraj S and Ntalla, Ioanna and Okada, Yukinori and Orozco, Lorena and Patel, Sanjay R and Pereira, Mark A and Peters, Annette and Pirie, Fraser J and Porneala, Bianca and Prasad, Gauri and Preissl, Sebastian and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Roden, Michael and Rohde, Rebecca and Roll, Kathryn and Sabanayagam, Charumathi and Sander, Maike and Sandow, Kevin and Sattar, Naveed and Sch{\"o}nherr, Sebastian and Schurmann, Claudia and Shahriar, Mohammad and Shi, Jinxiu and Shin, Dong Mun and Shriner, Daniel and Smith, Jennifer A and So, Wing Yee and Stan{\v c}{\'a}kov{\'a}, Alena and Stilp, Adrienne M and Strauch, Konstantin and Suzuki, Ken and Takahashi, Atsushi and Taylor, Kent D and Thorand, Barbara and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tomlinson, Brian and Torres, Jason M and Tsai, Fuu-Jen and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and Valladares-Salgado, Adan and van Dam, Rob M and van Klinken, Jan B and Varma, Rohit and Vujkovic, Marijana and Wacher-Rodarte, Niels and Wheeler, Eleanor and Whitsel, Eric A and Wickremasinghe, Ananda R and van Dijk, Ko Willems and Witte, Daniel R and Yajnik, Chittaranjan S and Yamamoto, Ken and Yamauchi, Toshimasa and Yengo, Loic and Yoon, Kyungheon and Yu, Canqing and Yuan, Jian-Min and Yusuf, Salim and Zhang, Liang and Zheng, Wei and Raffel, Leslie J and Igase, Michiya and Ipp, Eli and Redline, Susan and Cho, Yoon Shin and Lind, Lars and Province, Michael A and Hanis, Craig L and Peyser, Patricia A and Ingelsson, Erik and Zonderman, Alan B and Psaty, Bruce M and Wang, Ya-Xing and Rotimi, Charles N and Becker, Diane M and Matsuda, Fumihiko and Liu, Yongmei and Zeggini, Eleftheria and Yokota, Mitsuhiro and Rich, Stephen S and Kooperberg, Charles and Pankow, James S and Engert, James C and Chen, Yii-Der Ida and Froguel, Philippe and Wilson, James G and Sheu, Wayne H H and Kardia, Sharon L R and Wu, Jer-Yuarn and Hayes, M Geoffrey and Ma, Ronald C W and Wong, Tien-Yin and Groop, Leif and Mook-Kanamori, Dennis O and Chandak, Giriraj R and Collins, Francis S and Bharadwaj, Dwaipayan and Par{\'e}, Guillaume and Sale, Mich{\`e}le M and Ahsan, Habibul and Motala, Ayesha A and Shu, Xiao-Ou and Park, Kyong-Soo and Jukema, J Wouter and Cruz, Miguel and McKean-Cowdin, Roberta and Grallert, Harald and Cheng, Ching-Yu and Bottinger, Erwin P and Dehghan, Abbas and Tai, E-Shyong and Dupuis, Jos{\'e}e and Kato, Norihiro and Laakso, Markku and K{\"o}ttgen, Anna and Koh, Woon-Puay and Palmer, Colin N A and Liu, Simin and Abecasis, Goncalo and Kooner, Jaspal S and Loos, Ruth J F and North, Kari E and Haiman, Christopher A and Florez, Jose C and Saleheen, Danish and Hansen, Torben and Pedersen, Oluf and M{\"a}gi, Reedik and Langenberg, Claudia and Wareham, Nicholas J and Maeda, Shiro and Kadowaki, Takashi and Lee, Juyoung and Millwood, Iona Y and Walters, Robin G and Stefansson, Kari and Myers, Simon R and Ferrer, Jorge and Gaulton, Kyle J and Meigs, James B and Mohlke, Karen L and Gloyn, Anna L and Bowden, Donald W and Below, Jennifer E and Chambers, John C and Sim, Xueling and Boehnke, Michael and Rotter, Jerome I and McCarthy, Mark I and Morris, Andrew P} } @article {9035, title = {New insights into the genetic etiology of Alzheimer{\textquoteright}s disease and related dementias.}, journal = {Nat Genet}, volume = {54}, year = {2022}, month = {2022 Apr}, pages = {412-436}, abstract = {

Characterization of the genetic landscape of Alzheimer{\textquoteright}s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/{\textquoteright}proxy{\textquoteright} AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele.

}, keywords = {Alzheimer Disease, Cognitive Dysfunction, Genome-Wide Association Study, Humans, tau Proteins}, issn = {1546-1718}, doi = {10.1038/s41588-022-01024-z}, author = {Bellenguez, C{\'e}line and K{\"u}{\c c}{\"u}kali, Fahri and Jansen, Iris E and Kleineidam, Luca and Moreno-Grau, Sonia and Amin, Najaf and Naj, Adam C and Campos-Martin, Rafael and Grenier-Boley, Benjamin and Andrade, Victor and Holmans, Peter A and Boland, Anne and Damotte, Vincent and van der Lee, Sven J and Costa, Marcos R and Kuulasmaa, Teemu and Yang, Qiong and de Rojas, Itziar and Bis, Joshua C and Yaqub, Amber and Prokic, Ivana and Chapuis, Julien and Ahmad, Shahzad and Giedraitis, Vilmantas and Aarsland, Dag and Garcia-Gonzalez, Pablo and Abdelnour, Carla and Alarc{\'o}n-Mart{\'\i}n, Emilio and Alcolea, Daniel and Alegret, Montserrat and Alvarez, Ignacio and Alvarez, Victoria and Armstrong, Nicola J and Tsolaki, Anthoula and Antunez, Carmen and Appollonio, Ildebrando and Arcaro, Marina and Archetti, Silvana and Pastor, Alfonso Arias and Arosio, Beatrice and Athanasiu, Lavinia and Bailly, Henri and Banaj, Nerisa and Baquero, Miquel and Barral, Sandra and Beiser, Alexa and Pastor, Ana Bel{\'e}n and Below, Jennifer E and Benchek, Penelope and Benussi, Luisa and Berr, Claudine and Besse, C{\'e}line and Bessi, Valentina and Binetti, Giuliano and Bizarro, Alessandra and Blesa, Rafael and Boada, Merce and Boerwinkle, Eric and Borroni, Barbara and Boschi, Silvia and Boss{\`u}, Paola and Br{\r a}then, Geir and Bressler, Jan and Bresner, Catherine and Brodaty, Henry and Brookes, Keeley J and Brusco, Luis Ignacio and Buiza-Rueda, Dolores and B{\^u}rger, Katharina and Burholt, Vanessa and Bush, William S and Calero, Miguel and Cantwell, Laura B and Chene, Genevi{\`e}ve and Chung, Jaeyoon and Cuccaro, Michael L and Carracedo, Angel and Cecchetti, Roberta and Cervera-Carles, Laura and Charbonnier, Camille and Chen, Hung-Hsin and Chillotti, Caterina and Ciccone, Simona and Claassen, Jurgen A H R and Clark, Christopher and Conti, Elisa and Corma-G{\'o}mez, Ana{\"\i}s and Costantini, Emanuele and Custodero, Carlo and Daian, Delphine and Dalmasso, Maria Carolina and Daniele, Antonio and Dardiotis, Efthimios and Dartigues, Jean-Fran{\c c}ois and de Deyn, Peter Paul and de Paiva Lopes, Katia and de Witte, Lot D and Debette, Stephanie and Deckert, J{\"u}rgen and Del Ser, Teodoro and Denning, Nicola and DeStefano, Anita and Dichgans, Martin and Diehl-Schmid, Janine and Diez-Fairen, Monica and Rossi, Paolo Dionigi and Djurovic, Srdjan and Duron, Emmanuelle and D{\"u}zel, Emrah and Dufouil, Carole and Eiriksdottir, Gudny and Engelborghs, Sebastiaan and Escott-Price, Valentina and Espinosa, Ana and Ewers, Michael and Faber, Kelley M and Fabrizio, Tagliavini and Nielsen, Sune Fallgaard and Fardo, David W and Farotti, Lucia and Fenoglio, Chiara and Fern{\'a}ndez-Fuertes, Marta and Ferrari, Raffaele and Ferreira, Catarina B and Ferri, Evelyn and Fin, Bertrand and Fischer, Peter and Fladby, Tormod and Flie{\ss}bach, Klaus and Fongang, Bernard and Fornage, Myriam and Fortea, Juan and Foroud, Tatiana M and Fostinelli, Silvia and Fox, Nick C and Franco-Mac{\'\i}as, Emlio and Bullido, Mar{\'\i}a J and Frank-Garc{\'\i}a, Ana and Froelich, Lutz and Fulton-Howard, Brian and Galimberti, Daniela and Garc{\'\i}a-Alberca, Jose Maria and Garcia-Gonzalez, Pablo and Garcia-Madrona, Sebastian and Garcia-Ribas, Guillermo and Ghidoni, Roberta and Giegling, Ina and Giorgio, Giaccone and Goate, Alison M and Goldhardt, Oliver and Gomez-Fonseca, Duber and Gonz{\'a}lez-Perez, Antonio and Graff, Caroline and Grande, Giulia and Green, Emma and Grimmer, Timo and Gr{\"u}nblatt, Edna and Grunin, Michelle and Gudnason, Vilmundur and Guetta-Baranes, Tamar and Haapasalo, Annakaisa and Hadjigeorgiou, Georgios and Haines, Jonathan L and Hamilton-Nelson, Kara L and Hampel, Harald and Hanon, Olivier and Hardy, John and Hartmann, Annette M and Hausner, Lucrezia and Harwood, Janet and Heilmann-Heimbach, Stefanie and Helisalmi, Seppo and Heneka, Michael T and Hernandez, Isabel and Herrmann, Martin J and Hoffmann, Per and Holmes, Clive and Holstege, Henne and Vilas, Raquel Huerto and Hulsman, Marc and Humphrey, Jack and Biessels, Geert Jan and Jian, Xueqiu and Johansson, Charlotte and Jun, Gyungah R and Kastumata, Yuriko and Kauwe, John and Kehoe, Patrick G and Kilander, Lena and St{\r a}hlbom, Anne Kinhult and Kivipelto, Miia and Koivisto, Anne and Kornhuber, Johannes and Kosmidis, Mary H and Kukull, Walter A and Kuksa, Pavel P and Kunkle, Brian W and Kuzma, Amanda B and Lage, Carmen and Laukka, Erika J and Launer, Lenore and Lauria, Alessandra and Lee, Chien-Yueh and Lehtisalo, Jenni and Lerch, Ondrej and Lleo, Alberto and Longstreth, William and Lopez, Oscar and de Munain, Adolfo Lopez and Love, Seth and L{\"o}wemark, Malin and Luckcuck, Lauren and Lunetta, Kathryn L and Ma, Yiyi and Mac{\'\i}as, Juan and MacLeod, Catherine A and Maier, Wolfgang and Mangialasche, Francesca and Spallazzi, Marco and Marqui{\'e}, Marta and Marshall, Rachel and Martin, Eden R and Montes, Angel Mart{\'\i}n and Rodr{\'\i}guez, Carmen Mart{\'\i}nez and Masullo, Carlo and Mayeux, Richard and Mead, Simon and Mecocci, Patrizia and Medina, Miguel and Meggy, Alun and Mehrabian, Shima and Mendoza, Silvia and Men{\'e}ndez-Gonz{\'a}lez, Manuel and Mir, Pablo and Moebus, Susanne and Mol, Merel and Molina-Porcel, Laura and Montrreal, Laura and Morelli, Laura and Moreno, Fermin and Morgan, Kevin and Mosley, Thomas and N{\"o}then, Markus M and Muchnik, Carolina and Mukherjee, Shubhabrata and Nacmias, Benedetta and Ngandu, Tiia and Nicolas, Ga{\"e}l and Nordestgaard, B{\o}rge G and Olaso, Robert and Orellana, Adelina and Orsini, Michela and Ortega, Gemma and Padovani, Alessandro and Paolo, Caffarra and Papenberg, Goran and Parnetti, Lucilla and Pasquier, Florence and Pastor, Pau and Peloso, Gina and P{\'e}rez-Cord{\'o}n, Alba and P{\'e}rez-Tur, Jordi and Pericard, Pierre and Peters, Oliver and Pijnenburg, Yolande A L and Pineda, Juan A and Pi{\~n}ol-Ripoll, Gerard and Pisanu, Claudia and Polak, Thomas and Popp, Julius and Posthuma, Danielle and Priller, Josef and Puerta, Raquel and Quenez, Olivier and Quintela, In{\'e}s and Thomassen, Jesper Qvist and R{\'a}bano, Alberto and Rainero, Innocenzo and Rajabli, Farid and Ramakers, Inez and Real, Luis M and Reinders, Marcel J T and Reitz, Christiane and Reyes-Dumeyer, Dolly and Ridge, Perry and Riedel-Heller, Steffi and Riederer, Peter and Roberto, Natalia and Rodriguez-Rodriguez, Eloy and Rongve, Arvid and Allende, Irene Rosas and Rosende-Roca, Mait{\'e}e and Royo, Jose Luis and Rubino, Elisa and Rujescu, Dan and S{\'a}ez, Mar{\'\i}a Eugenia and Sakka, Paraskevi and Saltvedt, Ingvild and Sanabria, {\'A}ngela and S{\'a}nchez-Arjona, Mar{\'\i}a Bernal and Sanchez-Garcia, Florentino and Juan, Pascual S{\'a}nchez and S{\'a}nchez-Valle, Raquel and Sando, Sigrid B and Sarnowski, Chloe and Satizabal, Claudia L and Scamosci, Michela and Scarmeas, Nikolaos and Scarpini, Elio and Scheltens, Philip and Scherbaum, Norbert and Scherer, Martin and Schmid, Matthias and Schneider, Anja and Schott, Jonathan M and Selb{\ae}k, Geir and Seripa, Davide and Serrano, Manuel and Sha, Jin and Shadrin, Alexey A and Skrobot, Olivia and Slifer, Susan and Snijders, Gijsje J L and Soininen, Hilkka and Solfrizzi, Vincenzo and Solomon, Alina and Song, Yeunjoo and Sorbi, Sandro and Sotolongo-Grau, Oscar and Spalletta, Gianfranco and Spottke, Annika and Squassina, Alessio and Stordal, Eystein and Tartan, Juan Pablo and Tarraga, Lluis and Tes{\'\i}, Niccolo and Thalamuthu, Anbupalam and Thomas, Tegos and Tosto, Giuseppe and Traykov, Latchezar and Tremolizzo, Lucio and Tybj{\ae}rg-Hansen, Anne and Uitterlinden, Andre and Ullgren, Abbe and Ulstein, Ingun and Valero, Sergi and Valladares, Otto and Broeckhoven, Christine Van and Vance, Jeffery and Vardarajan, Badri N and van der Lugt, Aad and Dongen, Jasper Van and van Rooij, Jeroen and van Swieten, John and Vandenberghe, Rik and Verhey, Frans and Vidal, Jean-S{\'e}bastien and Vogelgsang, Jonathan and Vyhnalek, Martin and Wagner, Michael and Wallon, David and Wang, Li-San and Wang, Ruiqi and Weinhold, Leonie and Wiltfang, Jens and Windle, Gill and Woods, Bob and Yannakoulia, Mary and Zare, Habil and Zhao, Yi and Zhang, Xiaoling and Zhu, Congcong and Zulaica, Miren and Farrer, Lindsay A and Psaty, Bruce M and Ghanbari, Mohsen and Raj, Towfique and Sachdev, Perminder and Mather, Karen and Jessen, Frank and Ikram, M Arfan and de Mendon{\c c}a, Alexandre and Hort, Jakub and Tsolaki, Magda and Pericak-Vance, Margaret A and Amouyel, Philippe and Williams, Julie and Frikke-Schmidt, Ruth and Clarimon, Jordi and Deleuze, Jean-Francois and Rossi, Giacomina and Seshadri, Sudha and Andreassen, Ole A and Ingelsson, Martin and Hiltunen, Mikko and Sleegers, Kristel and Schellenberg, Gerard D and van Duijn, Cornelia M and Sims, Rebecca and van der Flier, Wiesje M and Ruiz, Agustin and Ramirez, Alfredo and Lambert, Jean-Charles} } @article {8982, title = {{Obesity Partially Mediates the Diabetogenic Effect of Lowering LDL Cholesterol}, journal = {Diabetes Care}, volume = {45}, year = {2022}, month = {Jan}, pages = {232{\textendash}240}, abstract = {LDL cholesterol (LDLc)-lowering drugs modestly increase body weight and type 2 diabetes risk, but the extent to which the diabetogenic effect of lowering LDLc is mediated through increased BMI is unknown.\ We conducted summary-level univariable and multivariable Mendelian randomization (MR) analyses in 921,908 participants to investigate the effect of lowering LDLc on type 2 diabetes risk and the proportion of this effect mediated through BMI. We used data from 92,532 participants from 14 observational studies to replicate findings in individual-level MR analyses.\ A 1-SD decrease in genetically predicted LDLc was associated with increased type 2 diabetes odds (odds ratio [OR] 1.12 [95\% CI 1.01, 1.24]) and BMI (β = 0.07 SD units [95\% CI 0.02, 0.12]) in univariable MR analyses. The multivariable MR analysis showed evidence of an indirect effect of lowering LDLc on type 2 diabetes through BMI (OR 1.04 [95\% CI 1.01, 1.08]) with a proportion mediated of 38\% of the total effect (P = 0.03). Total and indirect effect estimates were similar across a number of sensitivity analyses. Individual-level MR analyses confirmed the indirect effect of lowering LDLc on type 2 diabetes through BMI with an estimated proportion mediated of 8\% (P = 0.04).\ These findings suggest that the diabetogenic effect attributed to lowering LDLc is partially mediated through increased BMI. Our results could help advance understanding of adipose tissue and lipids in type 2 diabetes pathophysiology and inform strategies to reduce diabetes risk among individuals taking LDLc-lowering medications.}, author = {Wu, P. and Moon, J. Y. and Daghlas, I. and Franco, G. and Porneala, B. C. and Ahmadizar, F. and Richardson, T. G. and Isaksen, J. L. and Hindy, G. and Yao, J. and Sitlani, C. M. and Raffield, L. M. and Yanek, L. R. and Feitosa, M. F. and Cuadrat, R. R. C. and Qi, Q. and Arfan Ikram, M. and Ellervik, C. and Ericson, U. and Goodarzi, M. O. and Brody, J. A. and Lange, L. and Mercader, J. M. and Vaidya, D. and An, P. and Schulze, M. B. and Masana, L. and Ghanbari, M. and Olesen, M. S. and Cai, J. and Guo, X. and Floyd, J. S. and J{\"a}ger, S. and Province, M. A. and Kalyani, R. R. and Psaty, B. M. and Orho-Melander, M. and Ridker, P. M. and Kanters, J. K. and Uitterlinden, A. and Davey Smith, G. and Gill, D. and Kaplan, R. C. and Kavousi, M. and Raghavan, S. and Chasman, D. I. and Rotter, J. I. and Meigs, J. B. and Florez, J. C. and Dupuis, J. and Liu, C. T. and Merino, J.} } @article {9255, title = {Plasma proteomic signature of decline in gait speed and grip strength.}, journal = {Aging Cell}, volume = {21}, year = {2022}, month = {2022 Dec}, pages = {e13736}, abstract = {

The biological mechanisms underlying decline in physical function with age remain unclear. We examined the plasma proteomic profile associated with longitudinal changes in physical function measured by gait speed and grip strength in community-dwelling adults. We applied an aptamer-based platform to assay 1154 plasma proteins on 2854 participants (60\% women, aged 76 years) in the Cardiovascular Health Study (CHS) in 1992-1993 and 1130 participants (55\% women, aged 54 years) in the Framingham Offspring Study (FOS) in 1991-1995. Gait speed and grip strength were measured annually for 7 years in CHS and at cycles 7 (1998-2001) and 8 (2005-2008) in FOS. The associations of individual protein levels (log-transformed and standardized) with longitudinal changes in gait speed and grip strength in two populations were examined separately by linear mixed-effects models. Meta-analyses were implemented using random-effects models and corrected for multiple testing. We found that plasma levels of 14 and 18 proteins were associated with changes in gait speed and grip strength, respectively (corrected p~< 0.05). The proteins most strongly associated with gait speed decline were GDF-15 (Meta-analytic p~= 1.58 {\texttimes} 10 ), pleiotrophin (1.23 {\texttimes} 10 ), and TIMP-1 (5.97 {\texttimes} 10 ). For grip strength decline, the strongest associations were for carbonic anhydrase III (1.09 {\texttimes} 10 ), CDON (2.38 {\texttimes} 10 ), and SMOC1 (7.47 {\texttimes} 10 ). Several statistically significant proteins are involved in the inflammatory responses or antagonism of activin by follistatin pathway. These novel proteomic biomarkers and pathways should be further explored as future mechanisms and targets for age-related functional decline.

}, keywords = {Adult, Female, Gait, Hand Strength, Humans, Independent Living, Male, Proteomics, Walking Speed}, issn = {1474-9726}, doi = {10.1111/acel.13736}, author = {Liu, Xiaojuan and Pan, Stephanie and Xanthakis, Vanessa and Vasan, Ramachandran S and Psaty, Bruce M and Austin, Thomas R and Newman, Anne B and Sanders, Jason L and Wu, Chenkai and Tracy, Russell P and Gerszten, Robert E and Odden, Michelle C} } @article {9037, title = {Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program.}, journal = {Am J Hum Genet}, year = {2022}, month = {2022 Mar 31}, abstract = {

While polygenic risk scores (PRSs) enable early identification of genetic risk for chronic obstructive pulmonary disease (COPD), predictive performance is limited when the discovery and target populations are not well matched. Hypothesizing that the biological mechanisms of disease are shared across ancestry groups, we introduce a PrediXcan-derived polygenic transcriptome risk score (PTRS) to improve cross-ethnic portability of risk prediction. We constructed the PTRS using summary statistics from application of PrediXcan on large-scale GWASs of lung function (forced expiratory volume in 1~s [FEV] and its ratio to forced vital capacity [FEV/FVC]) in the UK Biobank. We examined prediction performance and cross-ethnic portability of PTRS through smoking-stratified analyses both on 29,381 multi-ethnic participants from TOPMed population/family-based cohorts and on 11,771 multi-ethnic participants from TOPMed COPD-enriched studies. Analyses were carried out for two dichotomous COPD traits (moderate-to-severe and severe COPD) and two quantitative lung function traits (FEV and FEV/FVC). While the proposed PTRS showed weaker associations with disease than PRS for European ancestry, the PTRS showed stronger association with COPD than PRS for African Americans (e.g., odds ratio [OR]~= 1.24 [95\% confidence interval [CI]: 1.08-1.43] for PTRS versus 1.10 [0.96-1.26] for PRS among heavy smokers with >= 40 pack-years of smoking) for moderate-to-severe COPD. Cross-ethnic portability of the PTRS was significantly higher than the PRS (paired t test p~<~2.2~{\texttimes}~10 with portability gains ranging from 5\% to 28\%) for both dichotomous COPD traits and across all smoking strata. Our study demonstrates the value of PTRS for improved cross-ethnic portability compared to PRS in predicting COPD risk.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2022.03.007}, author = {Hu, Xiaowei and Qiao, Dandi and Kim, Wonji and Moll, Matthew and Balte, Pallavi P and Lange, Leslie A and Bartz, Traci M and Kumar, Rajesh and Li, Xingnan and Yu, Bing and Cade, Brian E and Laurie, Cecelia A and Sofer, Tamar and Ruczinski, Ingo and Nickerson, Deborah A and Muzny, Donna M and Metcalf, Ginger A and Doddapaneni, Harshavardhan and Gabriel, Stacy and Gupta, Namrata and Dugan-Perez, Shannon and Cupples, L Adrienne and Loehr, Laura R and Jain, Deepti and Rotter, Jerome I and Wilson, James G and Psaty, Bruce M and Fornage, Myriam and Morrison, Alanna C and Vasan, Ramachandran S and Washko, George and Rich, Stephen S and O{\textquoteright}Connor, George T and Bleecker, Eugene and Kaplan, Robert C and Kalhan, Ravi and Redline, Susan and Gharib, Sina A and Meyers, Deborah and Ortega, Victor and Dupuis, Jos{\'e}e and London, Stephanie J and Lappalainen, Tuuli and Oelsner, Elizabeth C and Silverman, Edwin K and Barr, R Graham and Thornton, Timothy A and Wheeler, Heather E and Cho, Michael H and Im, Hae Kyung and Manichaikul, Ani} } @article {9156, title = {Pooled Cohort Probability Score for Subclinical Airflow Obstruction.}, journal = {Ann Am Thorac Soc}, volume = {19}, year = {2022}, month = {2022 08}, pages = {1294-1304}, abstract = {

Early detection of chronic obstructive pulmonary disease (COPD) is a public health priority. Airflow obstruction is the single most important risk factor for adverse COPD outcomes, but spirometry is not routinely recommended for screening. To describe the burden of subclinical airflow obstruction (SAO) and to develop a probability score for SAO to inform potential detection and prevention programs. Lung function and clinical data were harmonized and pooled across nine U.S. general population cohorts. Adults with respiratory symptoms, inhaler use, or prior diagnosis of COPD or asthma were excluded. A probability score for prevalent SAO (forced expiratory volume in 1 second/forced vital capacity < 0.70) was developed via hierarchical group-lasso regularization from clinical variables in strata of sex and smoking status, and its discriminative accuracy for SAO was assessed in the pooled cohort as well as in an external validation cohort (NHANES [National Health and Nutrition Examination Survey] 2011-2012). Incident hospitalizations and deaths due to COPD (respiratory events) were defined by adjudication or administrative criteria in four of nine cohorts. Of 33,546 participants (mean age 52 yr, 54\% female, 44\% non-Hispanic White), 4,424 (13.2\%) had prevalent SAO. The incidence of respiratory events ( = 14,024) was threefold higher in participants with SAO versus those without (152 vs. 39 events/10,000 person-years). The probability score, which was based on six commonly available variables (age, sex, race and/or ethnicity, body mass index, smoking status, and smoking pack-years) was well calibrated and showed excellent discrimination in both the testing sample (C-statistic, 0.81; 95\% confidence interval [CI], 0.80-0.82) and in NHANES (C-statistic, 0.83; 95\% CI, 0.80-0.86). Among participants with predicted probabilities ⩾ 15\%, 3.2 would need to undergo spirometry to detect one case of SAO. Adults with SAO demonstrate excess respiratory hospitalization and mortality. A probability score for SAO using commonly available clinical risk factors may be suitable for targeting screening and primary prevention strategies.

}, keywords = {Adult, Female, Forced Expiratory Volume, Humans, Lung, Male, Middle Aged, Nutrition Surveys, Pulmonary Disease, Chronic Obstructive, Risk Factors, Spirometry, Vital Capacity}, issn = {2325-6621}, doi = {10.1513/AnnalsATS.202109-1020OC}, author = {Bhatt, Surya P and Balte, Pallavi P and Schwartz, Joseph E and Jaeger, Byron C and Cassano, Patricia A and Chaves, Paulo H and Couper, David and Jacobs, David R and Kalhan, Ravi and Kaplan, Robert and Lloyd-Jones, Donald and Newman, Anne B and O{\textquoteright}Connor, George and Sanders, Jason L and Smith, Benjamin M and Sun, Yifei and Umans, Jason G and White, Wendy B and Yende, Sachin and Oelsner, Elizabeth C} } @article {9086, title = {Proteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing.}, journal = {Eur J Epidemiol}, year = {2022}, month = {2022 Jul 05}, abstract = {

BACKGROUND: In the last decade, genomic studies have identified and replicated thousands of genetic associations with measures of health and disease and contributed to the understanding of the etiology of a variety of health conditions. Proteins are key biomarkers in clinical medicine and often drug-therapy targets. Like genomics, proteomics can advance our understanding of biology.

METHODS AND RESULTS: In the setting of the Cardiovascular Health Study (CHS), a cohort study of older adults, an aptamer-based method that has high sensitivity for low-abundance proteins was used to assay 4979 proteins in frozen, stored plasma from 3188 participants (61\% women, mean age 74~years). CHS provides active support, including central analysis, for seven phenotype-specific working groups (WGs). Each CHS WG is led by one or two senior investigators and includes 10 to 20 early or mid-career scientists. In this setting of mentored access, the proteomic data and analytic methods are widely shared with the WGs and investigators so that they may evaluate associations between baseline levels of circulating proteins and the incidence of a variety of health outcomes in prospective cohort analyses. We describe the design of CHS, the CHS Proteomics Study, characteristics of participants, quality control measures, and structural characteristics of the data provided to CHS WGs. We additionally highlight plans for validation and replication of novel proteomic associations.

CONCLUSION: The CHS Proteomics Study offers an opportunity for collaborative data sharing to improve our understanding of the etiology of a variety of health conditions in older adults.

}, issn = {1573-7284}, doi = {10.1007/s10654-022-00888-z}, author = {Austin, Thomas R and McHugh, Caitlin P and Brody, Jennifer A and Bis, Joshua C and Sitlani, Colleen M and Bartz, Traci M and Biggs, Mary L and Bansal, Nisha and B{\r u}zkov{\'a}, Petra and Carr, Steven A and deFilippi, Christopher R and Elkind, Mitchell S V and Fink, Howard A and Floyd, James S and Fohner, Alison E and Gerszten, Robert E and Heckbert, Susan R and Katz, Daniel H and Kizer, Jorge R and Lemaitre, Rozenn N and Longstreth, W T and McKnight, Barbara and Mei, Hao and Mukamal, Kenneth J and Newman, Anne B and Ngo, Debby and Odden, Michelle C and Vasan, Ramachandran S and Shojaie, Ali and Simon, Noah and Smith, George Davey and Davies, Neil M and Siscovick, David S and Sotoodehnia, Nona and Tracy, Russell P and Wiggins, Kerri L and Zheng, Jie and Psaty, Bruce M} } @article {8975, title = {Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes.}, journal = {Am J Hum Genet}, volume = {109}, year = {2022}, month = {2022 01 06}, pages = {81-96}, abstract = {

Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1\%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.

}, keywords = {Alleles, Blood Glucose, Case-Control Studies, Computational Biology, Databases, Genetic, Diabetes Mellitus, Type 2, Exome, Genetic Predisposition to Disease, Genetic Variation, Genetics, Population, Genome-Wide Association Study, Humans, Lipid Metabolism, Lipids, Liver, Molecular Sequence Annotation, Multifactorial Inheritance, Open Reading Frames, Phenotype, Polymorphism, Single Nucleotide}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.11.021}, author = {Hindy, George and Dornbos, Peter and Chaffin, Mark D and Liu, Dajiang J and Wang, Minxian and Selvaraj, Margaret Sunitha and Zhang, David and Park, Joseph and Aguilar-Salinas, Carlos A and Antonacci-Fulton, Lucinda and Ardissino, Diego and Arnett, Donna K and Aslibekyan, Stella and Atzmon, Gil and Ballantyne, Christie M and Barajas-Olmos, Francisco and Barzilai, Nir and Becker, Lewis C and Bielak, Lawrence F and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bonnycastle, Lori L and Bottinger, Erwin and Bowden, Donald W and Bown, Matthew J and Brody, Jennifer A and Broome, Jai G and Burtt, Noel P and Cade, Brian E and Centeno-Cruz, Federico and Chan, Edmund and Chang, Yi-Cheng and Chen, Yii-der I and Cheng, Ching-Yu and Choi, Won Jung and Chowdhury, Rajiv and Contreras-Cubas, Cecilia and C{\'o}rdova, Emilio J and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and Danesh, John and de Vries, Paul S and DeFronzo, Ralph A and Doddapaneni, Harsha and Duggirala, Ravindranath and Dutcher, Susan K and Ellinor, Patrick T and Emery, Leslie S and Florez, Jose C and Fornage, Myriam and Freedman, Barry I and Fuster, Valentin and Garay-Sevilla, Ma Eugenia and Garc{\'\i}a-Ortiz, Humberto and Germer, Soren and Gibbs, Richard A and Gieger, Christian and Glaser, Benjamin and Gonzalez, Clicerio and Gonzalez-Villalpando, Maria Elena and Graff, Mariaelisa and Graham, Sarah E and Grarup, Niels and Groop, Leif C and Guo, Xiuqing and Gupta, Namrata and Han, Sohee and Hanis, Craig L and Hansen, Torben and He, Jiang and Heard-Costa, Nancy L and Hung, Yi-Jen and Hwang, Mi Yeong and Irvin, Marguerite R and Islas-Andrade, Sergio and Jarvik, Gail P and Kang, Hyun Min and Kardia, Sharon L R and Kelly, Tanika and Kenny, Eimear E and Khan, Alyna T and Kim, Bong-Jo and Kim, Ryan W and Kim, Young Jin and Koistinen, Heikki A and Kooperberg, Charles and Kuusisto, Johanna and Kwak, Soo Heon and Laakso, Markku and Lange, Leslie A and Lee, Jiwon and Lee, Juyoung and Lee, Seonwook and Lehman, Donna M and Lemaitre, Rozenn N and Linneberg, Allan and Liu, Jianjun and Loos, Ruth J F and Lubitz, Steven A and Lyssenko, Valeriya and Ma, Ronald C W and Martin, Lisa Warsinger and Mart{\'\i}nez-Hern{\'a}ndez, Ang{\'e}lica and Mathias, Rasika A and McGarvey, Stephen T and McPherson, Ruth and Meigs, James B and Meitinger, Thomas and Melander, Olle and Mendoza-Caamal, Elvia and Metcalf, Ginger A and Mi, Xuenan and Mohlke, Karen L and Montasser, May E and Moon, Jee-Young and Moreno-Macias, Hortensia and Morrison, Alanna C and Muzny, Donna M and Nelson, Sarah C and Nilsson, Peter M and O{\textquoteright}Connell, Jeffrey R and Orho-Melander, Marju and Orozco, Lorena and Palmer, Colin N A and Palmer, Nicholette D and Park, Cheol Joo and Park, Kyong Soo and Pedersen, Oluf and Peralta, Juan M and Peyser, Patricia A and Post, Wendy S and Preuss, Michael and Psaty, Bruce M and Qi, Qibin and Rao, D C and Redline, Susan and Reiner, Alexander P and Revilla-Monsalve, Cristina and Rich, Stephen S and Samani, Nilesh and Schunkert, Heribert and Schurmann, Claudia and Seo, Daekwan and Seo, Jeong-Sun and Sim, Xueling and Sladek, Rob and Small, Kerrin S and So, Wing Yee and Stilp, Adrienne M and Tai, E Shyong and Tam, Claudia H T and Taylor, Kent D and Teo, Yik Ying and Thameem, Farook and Tomlinson, Brian and Tsai, Michael Y and Tuomi, Tiinamaija and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and van Dam, Rob M and Vasan, Ramachandran S and Viaud Martinez, Karine A and Wang, Fei Fei and Wang, Xuzhi and Watkins, Hugh and Weeks, Daniel E and Wilson, James G and Witte, Daniel R and Wong, Tien-Yin and Yanek, Lisa R and Kathiresan, Sekar and Rader, Daniel J and Rotter, Jerome I and Boehnke, Michael and McCarthy, Mark I and Willer, Cristen J and Natarajan, Pradeep and Flannick, Jason A and Khera, Amit V and Peloso, Gina M} } @article {9168, title = {Rare genetic variants explain missing heritability in smoking.}, journal = {Nat Hum Behav}, year = {2022}, month = {2022 Aug 04}, abstract = {

Common genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this {\textquoteright}missing heritability{\textquoteright}. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74\% of it attributable to rare variants with minor allele frequencies between 0.01\% and 1\%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60\% to 100\% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking.

}, issn = {2397-3374}, doi = {10.1038/s41562-022-01408-5}, author = {Jang, Seon-Kyeong and Evans, Luke and Fialkowski, Allison and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Becker, Diane M and Bis, Joshua C and Blangero, John and Bleecker, Eugene R and Boorgula, Meher Preethi and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Jenkins, Brenda W Campbell and Carson, April P and Chavan, Sameer and Cupples, L Adrienne and Custer, Brian and Damrauer, Scott M and David, Sean P and de Andrade, Mariza and Dinardo, Carla L and Fingerlin, Tasha E and Fornage, Myriam and Freedman, Barry I and Garrett, Melanie E and Gharib, Sina A and Glahn, David C and Haessler, Jeffrey and Heckbert, Susan R and Hokanson, John E and Hou, Lifang and Hwang, Shih-Jen and Hyman, Matthew C and Judy, Renae and Justice, Anne E and Kaplan, Robert C and Kardia, Sharon L R and Kelly, Shannon and Kim, Wonji and Kooperberg, Charles and Levy, Daniel and Lloyd-Jones, Donald M and Loos, Ruth J F and Manichaikul, Ani W and Gladwin, Mark T and Martin, Lisa Warsinger and Nouraie, Mehdi and Melander, Olle and Meyers, Deborah A and Montgomery, Courtney G and North, Kari E and Oelsner, Elizabeth C and Palmer, Nicholette D and Payton, Marinelle and Peljto, Anna L and Peyser, Patricia A and Preuss, Michael and Psaty, Bruce M and Qiao, Dandi and Rader, Daniel J and Rafaels, Nicholas and Redline, Susan and Reed, Robert M and Reiner, Alexander P and Rich, Stephen S and Rotter, Jerome I and Schwartz, David A and Shadyab, Aladdin H and Silverman, Edwin K and Smith, Nicholas L and Smith, J Gustav and Smith, Albert V and Smith, Jennifer A and Tang, Weihong and Taylor, Kent D and Telen, Marilyn J and Vasan, Ramachandran S and Gordeuk, Victor R and Wang, Zhe and Wiggins, Kerri L and Yanek, Lisa R and Yang, Ivana V and Young, Kendra A and Young, Kristin L and Zhang, Yingze and Liu, Dajiang J and Keller, Matthew C and Vrieze, Scott} } @article {9263, title = {{A saturated map of common genetic variants associated with human height}, journal = {Nature}, volume = {610}, year = {2022}, month = {Oct}, pages = {704{\textendash}712}, abstract = {) account for 40\% (45\%) of phenotypic variance in populations of European ancestry but only around 10-20\% (14-24\%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries.}, author = {Yengo, L. and Vedantam, S. and Marouli, E. and Sidorenko, J. and Bartell, E. and Sakaue, S. and Graff, M. and Eliasen, A. U. and Jiang, Y. and Raghavan, S. and Miao, J. and Arias, J. D. and Graham, S. E. and Mukamel, R. E. and Spracklen, C. N. and Yin, X. and Chen, S. 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J. and Orozco, L. and Pahkala, K. and Pajukanta, P. and Palmer, C. N. A. and Parra, E. J. and Pattaro, C. and Pedersen, O. and Pennell, C. E. and Penninx, B. W. J. H. and P{\'e}russe, L. and Peters, A. and Peyser, P. A. and Porteous, D. J. and Posthuma, D. and Power, C. and Pramstaller, P. P. and Province, M. A. and Qi, Q. and Qu, J. and Rader, D. J. and Raitakari, O. T. and Ralhan, S. and Rallidis, L. S. and Rao, D. C. and Redline, S. and Reilly, D. F. and Reiner, A. P. and Rhee, S. Y. and Ridker, P. M. and Rienstra, M. and Ripatti, S. and Ritchie, M. D. and Roden, D. M. and Rosendaal, F. R. and Rotter, J. I. and Rudan, I. and Rutters, F. and Sabanayagam, C. and Saleheen, D. and Salomaa, V. and Samani, N. J. and Sanghera, D. K. and Sattar, N. and Schmidt, B. and Schmidt, H. and Schmidt, R. and Schulze, M. B. and Schunkert, H. and Scott, L. J. and Scott, R. J. and Sever, P. and Shiroma, E. J. and Shoemaker, M. B. and Shu, X. O. and Simonsick, E. M. and Sims, M. and Singh, J. R. and Singleton, A. B. and Sinner, M. F. and Smith, J. G. and Snieder, H. and Spector, T. D. and Stampfer, M. J. and Stark, K. J. and Strachan, D. P. and {\textquoteright}t Hart, L. M. and Tabara, Y. and Tang, H. and Tardif, J. C. and Thanaraj, T. A. and Timpson, N. J. and njes, A. and Tremblay, A. and Tuomi, T. and Tuomilehto, J. and -Luna, M. T. and Uitterlinden, A. G. and van Dam, R. M. and van der Harst, P. and Van der Velde, N. and van Duijn, C. M. and van Schoor, N. M. and Vitart, V. and lker, U. and Vollenweider, P. and lzke, H. and Wacher-Rodarte, N. H. and Walker, M. and Wang, Y. X. and Wareham, N. J. and Watanabe, R. M. and Watkins, H. and Weir, D. R. and Werge, T. M. and Wid{\'e}n, E. and Wilkens, L. R. and Willemsen, G. and Willett, W. C. and Wilson, J. F. and Wong, T. Y. and Woo, J. T. and Wright, A. F. and Wu, J. Y. and Xu, H. and Yajnik, C. S. and Yokota, M. and Yuan, J. M. and Zeggini, E. and Zemel, B. S. and Zheng, W. and Zhu, X. and Zmuda, J. M. and Zonderman, A. B. and Zwart, J. A. and Chasman, D. I. and Cho, Y. S. and Heid, I. M. and McCarthy, M. I. and Ng, M. C. Y. and O{\textquoteright}Donnell, C. J. and Rivadeneira, F. and Thorsteinsdottir, U. and Sun, Y. V. and Tai, E. S. and Boehnke, M. and Deloukas, P. and Justice, A. E. and Lindgren, C. M. and Loos, R. J. F. and Mohlke, K. L. and North, K. E. and Stefansson, K. and Walters, R. G. and Winkler, T. W. and Young, K. L. and Loh, P. R. and Yang, J. and Esko, T. and Assimes, T. L. and Auton, A. and Abecasis, G. R. and Willer, C. J. and Locke, A. E. and Berndt, S. I. and Lettre, G. and Frayling, T. M. and Okada, Y. and Wood, A. R. and Visscher, P. M. and Hirschhorn, J. N. and Partida, G. C. and Sun, Y. and Croteau-Chonka, D. and Vonk, J. M. and Chanock, S. and Le Marchand, L.} } @article {9172, title = {Stroke genetics informs drug discovery and risk prediction across ancestries.}, journal = {Nature}, year = {2022}, month = {2022 Sep 30}, abstract = {

Previous genome-wide association studies (GWASs) of stroke~-~the second leading cause of death worldwide~-~were conducted predominantly in populations of European ancestry. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33\% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30\% non-European) and 1,013,843 control individuals, 87\% of the primary stroke risk loci and 60\% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.

}, issn = {1476-4687}, doi = {10.1038/s41586-022-05165-3}, author = {Mishra, Aniket and Malik, Rainer and Hachiya, Tsuyoshi and J{\"u}rgenson, Tuuli and Namba, Shinichi and Posner, Daniel C and Kamanu, Frederick K and Koido, Masaru and Le Grand, Quentin and Shi, Mingyang and He, Yunye and Georgakis, Marios K and Caro, Ilana and Krebs, Kristi and Liaw, Yi-Ching and Vaura, Felix C and Lin, Kuang and Winsvold, Bendik Slagsvold and Srinivasasainagendra, Vinodh and Parodi, Livia and Bae, Hee-Joon and Chauhan, Ganesh and Chong, Michael R and Tomppo, Liisa and Akinyemi, Rufus and Roshchupkin, Gennady V and Habib, Naomi and Jee, Yon Ho and Thomassen, Jesper Qvist and Abedi, Vida and C{\'a}rcel-M{\'a}rquez, Jara and Nygaard, Marianne and Leonard, Hampton L and Yang, Chaojie and Yonova-Doing, Ekaterina and Knol, Maria J and Lewis, Adam J and Judy, Renae L and Ago, Tetsuro and Amouyel, Philippe and Armstrong, Nicole D and Bakker, Mark K and Bartz, Traci M and Bennett, David A and Bis, Joshua C and Bordes, Constance and B{\o}rte, Sigrid and Cain, Anael and Ridker, Paul M and Cho, Kelly and Chen, Zhengming and Cruchaga, Carlos and Cole, John W and De Jager, Phil L and de Cid, Rafael and Endres, Matthias and Ferreira, Leslie E and Geerlings, Mirjam I and Gasca, Natalie C and Gudnason, Vilmundur and Hata, Jun and He, Jing and Heath, Alicia K and Ho, Yuk-Lam and Havulinna, Aki S and Hopewell, Jemma C and Hyacinth, Hyacinth I and Inouye, Michael and Jacob, Mina A and Jeon, Christina E and Jern, Christina and Kamouchi, Masahiro and Keene, Keith L and Kitazono, Takanari and Kittner, Steven J and Konuma, Takahiro and Kumar, Amit and Lacaze, Paul and Launer, Lenore J and Lee, Keon-Joo and Lepik, Kaido and Li, Jiang and Li, Liming and Manichaikul, Ani and Markus, Hugh S and Marston, Nicholas A and Meitinger, Thomas and Mitchell, Braxton D and Montellano, Felipe A and Morisaki, Takayuki and Mosley, Thomas H and Nalls, Mike A and Nordestgaard, B{\o}rge G and O{\textquoteright}Donnell, Martin J and Okada, Yukinori and Onland-Moret, N Charlotte and Ovbiagele, Bruce and Peters, Annette and Psaty, Bruce M and Rich, Stephen S and Rosand, Jonathan and Sabatine, Marc S and Sacco, Ralph L and Saleheen, Danish and Sandset, Else Charlotte and Salomaa, Veikko and Sargurupremraj, Muralidharan and Sasaki, Makoto and Satizabal, Claudia L and Schmidt, Carsten O and Shimizu, Atsushi and Smith, Nicholas L and Sloane, Kelly L and Sutoh, Yoichi and Sun, Yan V and Tanno, Kozo and Tiedt, Steffen and Tatlisumak, Turgut and Torres-Aguila, Nuria P and Tiwari, Hemant K and Tr{\'e}gou{\"e}t, David-Alexandre and Trompet, Stella and Tuladhar, Anil Man and Tybj{\ae}rg-Hansen, Anne and van Vugt, Marion and Vibo, Riina and Verma, Shefali S and Wiggins, Kerri L and Wennberg, Patrik and Woo, Daniel and Wilson, Peter W F and Xu, Huichun and Yang, Qiong and Yoon, Kyungheon and Millwood, Iona Y and Gieger, Christian and Ninomiya, Toshiharu and Grabe, Hans J and Jukema, J Wouter and Rissanen, Ina L and Strbian, Daniel and Kim, Young Jin and Chen, Pei-Hsin and Mayerhofer, Ernst and Howson, Joanna M M and Irvin, Marguerite R and Adams, Hieab and Wassertheil-Smoller, Sylvia and Christensen, Kaare and Ikram, Mohammad A and Rundek, Tatjana and Worrall, Bradford B and Lathrop, G Mark and Riaz, Moeen and Simonsick, Eleanor M and K{\~o}rv, Janika and Fran{\c c}a, Paulo H C and Zand, Ramin and Prasad, Kameshwar and Frikke-Schmidt, Ruth and de Leeuw, Frank-Erik and Liman, Thomas and Haeusler, Karl Georg and Ruigrok, Ynte M and Heuschmann, Peter Ulrich and Longstreth, W T and Jung, Keum Ji and Bastarache, Lisa and Par{\'e}, Guillaume and Damrauer, Scott M and Chasman, Daniel I and Rotter, Jerome I and Anderson, Christopher D and Zwart, John-Anker and Niiranen, Teemu J and Fornage, Myriam and Liaw, Yung-Po and Seshadri, Sudha and Fernandez-Cadenas, Israel and Walters, Robin G and Ruff, Christian T and Owolabi, Mayowa O and Huffman, Jennifer E and Milani, Lili and Kamatani, Yoichiro and Dichgans, Martin and Debette, Stephanie} } @article {9101, title = {Targeted Genome Sequencing Identifies Multiple Rare Variants in Caveolin-1 Associated with Obstructive Sleep Apnea.}, journal = {Am J Respir Crit Care Med}, year = {2022}, month = {2022 Jul 13}, abstract = {

INTRODUCTION: Obstructive sleep apnea (OSA) is a common disorder associated with increased risk for cardiovascular disease, diabetes, and premature mortality. There is strong clinical and epi-demiologic evidence supporting the importance of genetic factors influencing OSA, but limited data implicating specific genes.

METHODS: Leveraging high depth genomic sequencing data from the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program and imputed genotype data from multiple population-based studies, we performed linkage analysis in the Cleve-land Family Study (CFS) followed by multi-stage gene-based association analyses in independent cohorts to search for rare variants contributing to OSA severity as assessed by the apnea-hypopnea index (AHI) in a total of 7,708 individuals of European ancestry.

RESULTS: Linkage analysis in CFS identified a suggestive linkage peak on chromosome 7q31 (LOD=2.31). Gene-based analysis identified 21 non-coding rare variants in Caveolin-1 (CAV1) associated with lower AHI after accounting for multiple comparisons (p=7.4{\texttimes}10-8). These non-coding variants together significantly contributed to the linkage evidence (p<10-3). Follow-up anal-ysis revealed significant associations between these variants and increased CAV1 expression, and increased CAV1 expression in peripheral monocytes was associated with lower AHI (p=0.024) and higher minimum overnight oxygen saturation (p=0.007).

CONCLUSION: Rare variants in CAV1, a membrane scaffolding protein essential in multiple cellular and metabolic functions, are associated with higher CAV1 gene expression and lower OSA severity, suggesting a novel target for modulating OSA severity.

}, issn = {1535-4970}, doi = {10.1164/rccm.202203-0618OC}, author = {Liang, Jingjing and Wang, Heming and Cade, Brian E and Kurniansyah, Nuzulul and He, Karen Y and Lee, Jiwon and Sands, Scott A and Brody, Jennifer and Chen, Han and Gottlieb, Daniel J and Evans, Daniel S and Guo, Xiuqing and Gharib, Sina A and Hale, Lauren and Hillman, David R and Lutsey, Pamela L and Mukherjee, Sutapa and Ochs-Balcom, Heather M and Palmer, Lyle J and Purcell, Shaun and Saxena, Richa and Patel, Sanjay R and Stone, Katie L and Tranah, Gregory J and Boerwinkle, Eric and Lin, Xihong and Liu, Yongmei and Psaty, Bruce M and Vasan, Ramachandran S and Manichaikul, Ani and Rich, Stephen S and Rotter, Jerome I and Sofer, Tamar and Redline, Susan and Zhu, Xiaofeng} } @article {9109, title = {The Value of Rare Genetic Variation in the Prediction of Common Obesity in European Ancestry Populations.}, journal = {Front Endocrinol (Lausanne)}, volume = {13}, year = {2022}, month = {2022}, pages = {863893}, abstract = {

Polygenic risk scores (PRSs) aggregate the effects of genetic variants across the genome and are used to predict risk of complex diseases, such as obesity. Current PRSs only include common variants (minor allele frequency (MAF) >=1\%), whereas the contribution of rare variants in PRSs to predict disease remains unknown. Here, we examine whether augmenting the standard common variant PRS (PRS) with a rare variant PRS (PRS) improves prediction of obesity. We used genome-wide genotyped and imputed data on 451,145 European-ancestry participants of the UK Biobank, as well as whole exome sequencing (WES) data on 184,385 participants. We performed single variant analyses (for both common and rare variants) and gene-based analyses (for rare variants) for association with BMI (kg/m), obesity (BMI >= 30 kg/m), and extreme obesity (BMI >= 40 kg/m). We built PRSs and PRSs using a range of methods (Clumping+Thresholding [C+T], PRS-CS, lassosum, gene-burden test). We selected the best-performing PRSs and assessed their performance in 36,757 European-ancestry unrelated participants with whole genome sequencing (WGS) data from the Trans-Omics for Precision Medicine (TOPMed) program. The best-performing PRS explained 10.1\% of variation in BMI, and 18.3\% and 22.5\% of the susceptibility to obesity and extreme obesity, respectively, whereas the best-performing PRS explained 1.49\%, and 2.97\% and 3.68\%, respectively. The PRS was associated with an increased risk of obesity and extreme obesity (OR = 1.37 per SD, = 1.7x10; OR = 1.55 per SD, = 3.8x10), which was attenuated, after adjusting for PRS (OR = 1.08 per SD, = 9.8x10; OR= 1.09 per SD, = 0.02). When PRS and PRS are combined, the increase in explained variance attributed to PRS was small (incremental Nagelkerke R = 0.24\% for obesity and 0.51\% for extreme obesity). Consistently, combining PRS to PRS provided little improvement to the prediction of obesity (PRS AUC = 0.591; PRS AUC = 0.708; PRS AUC = 0.710). In summary, while rare variants show convincing association with BMI, obesity and extreme obesity, the PRS provides limited improvement over PRS in the prediction of obesity risk, based on these large populations.

}, keywords = {Gene Frequency, Genetic Variation, Genome-Wide Association Study, Humans, Obesity, Whole Genome Sequencing}, issn = {1664-2392}, doi = {10.3389/fendo.2022.863893}, author = {Wang, Zhe and Choi, Shing Wan and Chami, Nathalie and Boerwinkle, Eric and Fornage, Myriam and Redline, Susan and Bis, Joshua C and Brody, Jennifer A and Psaty, Bruce M and Kim, Wonji and McDonald, Merry-Lynn N and Regan, Elizabeth A and Silverman, Edwin K and Liu, Ching-Ti and Vasan, Ramachandran S and Kalyani, Rita R and Mathias, Rasika A and Yanek, Lisa R and Arnett, Donna K and Justice, Anne E and North, Kari E and Kaplan, Robert and Heckbert, Susan R and de Andrade, Mariza and Guo, Xiuqing and Lange, Leslie A and Rich, Stephen S and Rotter, Jerome I and Ellinor, Patrick T and Lubitz, Steven A and Blangero, John and Shoemaker, M Benjamin and Darbar, Dawood and Gladwin, Mark T and Albert, Christine M and Chasman, Daniel I and Jackson, Rebecca D and Kooperberg, Charles and Reiner, Alexander P and O{\textquoteright}Reilly, Paul F and Loos, Ruth J F} } @article {9107, title = {Whole exome sequencing of 14 389 individuals from the ESP and CHARGE consortia identifies novel rare variation associated with hemostatic factors.}, journal = {Hum Mol Genet}, year = {2022}, month = {2022 May 12}, abstract = {

Plasma levels of fibrinogen, coagulation factors VII and VIII, and von Willebrand factor (vWF) are four intermediate phenotypes that are heritable and have been associated with the risk of clinical thrombotic events. To identify rare and low-frequency variants associated with these hemostatic factors, we conducted whole exome sequencing in 10 860 individuals of European ancestry (EA) and 3529 African Americans (AAs) from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium and the National Heart, Lung, and Blood Institute{\textquoteright}s Exome Sequencing Project (ESP). Gene-based tests demonstrated significant associations with rare variation (minor allele frequency < 5\%) in FGG (with fibrinogen, p = 9.1x10-13), F7 (with factor VII, p = 1.3x10-72; seven novel variants), and VWF (with factor VIII and vWF; p = 3.2x10-14; one novel variant). These eight novel rare variant associations were independent of the known common variants at these loci and tended to have much larger effect sizes. In addition, one of the rare novel variants in F7 was significantly associated with an increased risk of venous thromboembolism in AAs (Ile200Ser; rs141219108; p = 4.2x10-5). After restricting gene-based analyses to only loss-of-function variants, a novel significant association was detected and replicated between factor VIII levels and a stop-gain mutation exclusive to African Americans (rs3211938) in CD36. This variant has previously been linked to dyslipidemia but not with levels of a hemostatic factor. These efforts represent the largest integration of whole exome sequence data from two national projects to identify genetic variation associated with plasma hemostatic factors.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddac100}, author = {Pankratz, Nathan and Wei, Peng and Brody, Jennifer A and Chen, Ming-Huei and Vries, Paul S and Huffman, Jennifer E and Stimson, Mary Rachel and Auer, Paul L and Boerwinkle, Eric and Cushman, Mary and Maat, Moniek P M and Folsom, Aaron R and Franco, Oscar H and Gibbs, Richard A and Haagenson, Kelly K and Hofman, Albert and Johnsen, Jill M and Kovar, Christie L and Kraaij, Robert and McKnight, Barbara and Metcalf, Ginger A and Muzny, Donna and Psaty, Bruce M and Tang, Weihong and Uitterlinden, Andr{\'e} G and Rooij, Jeroen G J and Dehghan, Abbas and O{\textquoteright}Donnell, Christopher J and Reiner, Alex P and Morrison, Alanna C and Smith, Nicholas L} } @article {9158, title = {Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program.}, journal = {Commun Biol}, volume = {5}, year = {2022}, month = {2022 07 28}, pages = {756}, abstract = {

The genetic determinants of fasting glucose (FG) and fasting insulin (FI) have been studied mostly through genome arrays, resulting in over 100 associated variants. We extended this work with high-coverage whole genome sequencing analyses from fifteen cohorts in NHLBI{\textquoteright}s Trans-Omics for Precision Medicine (TOPMed) program. Over 23,000 non-diabetic individuals from five race-ethnicities/populations (African, Asian, European, Hispanic and Samoan) were included. Eight variants were significantly associated with FG or FI across previously identified regions MTNR1B, G6PC2, GCK, GCKR and FOXA2. We additionally characterize suggestive associations with FG or FI near previously identified SLC30A8, TCF7L2, and ADCY5 regions as well as APOB, PTPRT, and ROBO1. Functional annotation resources including the Diabetes Epigenome Atlas were compiled for each signal (chromatin states, annotation principal components, and others) to elucidate variant-to-function hypotheses. We provide a catalog of nucleotide-resolution genomic variation spanning intergenic and intronic regions creating a foundation for future sequencing-based investigations of glycemic traits.

}, keywords = {Diabetes Mellitus, Type 2, Fasting, Glucose, Humans, Insulin, National Heart, Lung, and Blood Institute (U.S.), Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Precision Medicine, Receptors, Immunologic, United States}, issn = {2399-3642}, doi = {10.1038/s42003-022-03702-4}, author = {DiCorpo, Daniel and Gaynor, Sheila M and Russell, Emily M and Westerman, Kenneth E and Raffield, Laura M and Majarian, Timothy D and Wu, Peitao and Sarnowski, Chloe and Highland, Heather M and Jackson, Anne and Hasbani, Natalie R and de Vries, Paul S and Brody, Jennifer A and Hidalgo, Bertha and Guo, Xiuqing and Perry, James A and O{\textquoteright}Connell, Jeffrey R and Lent, Samantha and Montasser, May E and Cade, Brian E and Jain, Deepti and Wang, Heming and D{\textquoteright}Oliveira Albanus, Ricardo and Varshney, Arushi and Yanek, Lisa R and Lange, Leslie and Palmer, Nicholette D and Almeida, Marcio and Peralta, Juan M and Aslibekyan, Stella and Baldridge, Abigail S and Bertoni, Alain G and Bielak, Lawrence F and Chen, Chung-Shiuan and Chen, Yii-Der Ida and Choi, Won Jung and Goodarzi, Mark O and Floyd, James S and Irvin, Marguerite R and Kalyani, Rita R and Kelly, Tanika N and Lee, Seonwook and Liu, Ching-Ti and Loesch, Douglas and Manson, JoAnn E and Minster, Ryan L and Naseri, Take and Pankow, James S and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Reupena, Muagututi{\textquoteright}a Sefuiva and Selvin, Elizabeth and Smith, Jennifer A and Weeks, Daniel E and Xu, Huichun and Yao, Jie and Zhao, Wei and Parker, Stephen and Alonso, Alvaro and Arnett, Donna K and Blangero, John and Boerwinkle, Eric and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and Duggirala, Ravindranath and He, Jiang and Heckbert, Susan R and Kardia, Sharon L R and Kim, Ryan W and Kooperberg, Charles and Liu, Simin and Mathias, Rasika A and McGarvey, Stephen T and Mitchell, Braxton D and Morrison, Alanna C and Peyser, Patricia A and Psaty, Bruce M and Redline, Susan and Shuldiner, Alan R and Taylor, Kent D and Vasan, Ramachandran S and Viaud-Martinez, Karine A and Florez, Jose C and Wilson, James G and Sladek, Robert and Rich, Stephen S and Rotter, Jerome I and Lin, Xihong and Dupuis, Jos{\'e}e and Meigs, James B and Wessel, Jennifer and Manning, Alisa K} } @article {9387, title = {Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis.}, journal = {Nature}, volume = {616}, year = {2023}, month = {2023 Apr}, pages = {755-763}, abstract = {

Mutations in a diverse set of driver genes increase the fitness of haematopoietic stem cells (HSCs), leading to clonal haematopoiesis. These lesions are precursors for blood cancers, but the basis of their fitness advantage remains largely unknown, partly owing to a paucity of large cohorts in which the clonal expansion rate has been assessed by longitudinal sampling. Here, to circumvent this limitation, we developed a method to infer the expansion rate from data from a single time point. We applied this method to 5,071 people with clonal haematopoiesis. A genome-wide association study revealed that a common inherited polymorphism in the TCL1A promoter was associated with a slower expansion rate in clonal haematopoiesis overall, but the effect varied by driver gene. Those carrying this protective allele exhibited markedly reduced growth rates or prevalence of clones with driver mutations in TET2, ASXL1, SF3B1 and SRSF2, but~this effect was not seen in~clones with~driver mutations in DNMT3A. TCL1A was not expressed in normal or DNMT3A-mutated HSCs, but the introduction of mutations in TET2 or ASXL1 led to the expression of TCL1A protein and the expansion of HSCs in vitro. The protective allele restricted TCL1A expression and expansion of mutant HSCs, as did experimental~knockdown of TCL1A expression. Forced expression of TCL1A promoted the expansion of human HSCs in vitro and mouse HSCs in vivo. Our results indicate that the fitness advantage of several commonly mutated driver genes in clonal haematopoiesis may be mediated by TCL1A activation.

}, keywords = {Alleles, Animals, Clonal Hematopoiesis, Genome-Wide Association Study, Hematopoiesis, Hematopoietic Stem Cells, Humans, Mice, Mutation, Promoter Regions, Genetic}, issn = {1476-4687}, doi = {10.1038/s41586-023-05806-1}, author = {Weinstock, Joshua S and Gopakumar, Jayakrishnan and Burugula, Bala Bharathi and Uddin, Md Mesbah and Jahn, Nikolaus and Belk, Julia A and Bouzid, Hind and Daniel, Bence and Miao, Zhuang and Ly, Nghi and Mack, Taralynn M and Luna, Sofia E and Prothro, Katherine P and Mitchell, Shaneice R and Laurie, Cecelia A and Broome, Jai G and Taylor, Kent D and Guo, Xiuqing and Sinner, Moritz F and von Falkenhausen, Aenne S and K{\"a}{\"a}b, Stefan and Shuldiner, Alan R and O{\textquoteright}Connell, Jeffrey R and Lewis, Joshua P and Boerwinkle, Eric and Barnes, Kathleen C and Chami, Nathalie and Kenny, Eimear E and Loos, Ruth J F and Fornage, Myriam and Hou, Lifang and Lloyd-Jones, Donald M and Redline, Susan and Cade, Brian E and Psaty, Bruce M and Bis, Joshua C and Brody, Jennifer A and Silverman, Edwin K and Yun, Jeong H and Qiao, Dandi and Palmer, Nicholette D and Freedman, Barry I and Bowden, Donald W and Cho, Michael H and DeMeo, Dawn L and Vasan, Ramachandran S and Yanek, Lisa R and Becker, Lewis C and Kardia, Sharon L R and Peyser, Patricia A and He, Jiang and Rienstra, Michiel and van der Harst, Pim and Kaplan, Robert and Heckbert, Susan R and Smith, Nicholas L and Wiggins, Kerri L and Arnett, Donna K and Irvin, Marguerite R and Tiwari, Hemant and Cutler, Michael J and Knight, Stacey and Muhlestein, J Brent and Correa, Adolfo and Raffield, Laura M and Gao, Yan and de Andrade, Mariza and Rotter, Jerome I and Rich, Stephen S and Tracy, Russell P and Konkle, Barbara A and Johnsen, Jill M and Wheeler, Marsha M and Smith, J Gustav and Melander, Olle and Nilsson, Peter M and Custer, Brian S and Duggirala, Ravindranath and Curran, Joanne E and Blangero, John and McGarvey, Stephen and Williams, L Keoki and Xiao, Shujie and Yang, Mao and Gu, C Charles and Chen, Yii-Der Ida and Lee, Wen-Jane and Marcus, Gregory M and Kane, John P and Pullinger, Clive R and Shoemaker, M Benjamin and Darbar, Dawood and Roden, Dan M and Albert, Christine and Kooperberg, Charles and Zhou, Ying and Manson, JoAnn E and Desai, Pinkal and Johnson, Andrew D and Mathias, Rasika A and Blackwell, Thomas W and Abecasis, Goncalo R and Smith, Albert V and Kang, Hyun M and Satpathy, Ansuman T and Natarajan, Pradeep and Kitzman, Jacob O and Whitsel, Eric A and Reiner, Alexander P and Bick, Alexander G and Jaiswal, Siddhartha} } @article {9478, title = {Association of Immune Cell Subsets with Incident Hip Fracture: The Cardiovascular Health Study.}, journal = {Calcif Tissue Int}, year = {2023}, month = {2023 Aug 31}, abstract = {

In this study, we aimed to evaluate the association of innate and adaptive immune cell subsets in peripheral blood mononuclear cells (PBMCs) with hip fracture. To conduct this study, we used data from the Cardiovascular Health Study (CHS), a U.S. multicenter observational cohort of community-dwelling men and women aged >= 65 years. Twenty-five immune cell phenotypes were measured by flow cytometry from cryopreserved PBMCs of CHS participants collected in 1998-1999. The natural killer (NK), γδ T, T helper 17 (Th17), and differentiated/senescent CD4CD28 T cell subsets were pre-specified as primary subsets of interest. Hip fracture incidence was assessed prospectively by review of hospitalization records. Multivariable Cox hazard models evaluated associations of immune cell phenotypes with incident hip fracture in sex-stratified and combined analyses. Among 1928 persons, 259 hip fractures occurred over a median 9.7 years of follow-up. In women, NK cells were inversely associated with hip fracture [hazard ratio (HR) 0.77, 95\% confidence interval (CI) 0.60-0.99 per one standard deviation higher value] and Th17 cells were positively associated with hip fracture [HR 1.18, 95\% CI 1.01-1.39]. In men, γδ T cells were inversely associated with hip fracture [HR 0.60, 95\% CI 0.37-0.98]. None of the measured immune cell phenotypes were significantly associated with hip fracture incidence in combined analyses. In this large prospective cohort of older adults, potentially important sex differences in the associations of immune cell phenotypes and hip fracture were identified. However, immune cell phenotypes had no association with hip fracture in analyses combining men and women.

}, issn = {1432-0827}, doi = {10.1007/s00223-023-01126-8}, author = {Elam, Rachel E and B{\r u}zkov{\'a}, Petra and Delaney, Joseph A C and Fink, Howard A and Barzilay, Joshua I and Carbone, Laura D and Saha, Rick and Robbins, John A and Mukamal, Kenneth J and Valderr{\'a}bano, Rodrigo J and Psaty, Bruce M and Tracy, Russell P and Olson, Nels C and Huber, Sally A and Doyle, Margaret F and Landay, Alan L and Cauley, Jane A} } @article {9456, title = {Association of omega 3 polyunsaturated fatty acids with incident chronic kidney disease: pooled analysis of 19 cohorts.}, journal = {BMJ}, volume = {380}, year = {2023}, month = {2023 Jan 18}, pages = {e072909}, abstract = {

OBJECTIVE: To assess the prospective associations of circulating levels of omega 3 polyunsaturated fatty acid (n-3 PUFA) biomarkers (including plant derived α linolenic acid and seafood derived eicosapentaenoic acid, docosapentaenoic acid, and docosahexaenoic acid) with incident chronic kidney disease (CKD).

DESIGN: Pooled analysis.

DATA SOURCES: A consortium of 19 studies from 12 countries identified up to May 2020.

STUDY SELECTION: Prospective studies with measured n-3 PUFA biomarker data and incident CKD based on estimated glomerular filtration rate.

DATA EXTRACTION AND SYNTHESIS: Each participating cohort conducted de novo analysis with prespecified and consistent exposures, outcomes, covariates, and models. The results were pooled across cohorts using inverse variance weighted meta-analysis.

MAIN OUTCOME MEASURES: Primary outcome of incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m. In a sensitivity analysis, incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m and <75\% of baseline rate.

RESULTS: 25 570 participants were included in the primary outcome analysis and 4944 (19.3\%) developed incident CKD during follow-up (weighted median 11.3 years). In multivariable adjusted models, higher levels of total seafood n-3 PUFAs were associated with a lower incident CKD risk (relative risk per interquintile range 0.92, 95\% confidence interval 0.86 to 0.98; P=0.009, I=9.9\%). In categorical analyses, participants with total seafood n-3 PUFA level in the highest fifth had 13\% lower risk of incident CKD compared with those in the lowest fifth (0.87, 0.80 to 0.96; P=0.005, I=0.0\%). Plant derived α linolenic acid levels were not associated with incident CKD (1.00, 0.94 to 1.06; P=0.94, I=5.8\%). Similar results were obtained in the sensitivity analysis. The association appeared consistent across subgroups by age (>=60 <60 years), estimated glomerular filtration rate (60-89 >=90 mL/min/1.73 m), hypertension, diabetes, and coronary heart disease at baseline.

CONCLUSIONS: Higher seafood derived n-3 PUFA levels were associated with lower risk of incident CKD, although this association was not found for plant derived n-3 PUFAs. These results support a favourable role for seafood derived n-3 PUFAs in preventing CKD.

}, keywords = {alpha-Linolenic Acid, Fatty Acids, Omega-3, Fatty Acids, Unsaturated, Humans, Middle Aged, Prospective Studies, Renal Insufficiency, Chronic, Risk Factors}, issn = {1756-1833}, doi = {10.1136/bmj-2022-072909}, author = {Ong, Kwok Leung and Marklund, Matti and Huang, Liping and Rye, Kerry-Anne and Hui, Nicholas and Pan, Xiong-Fei and Rebholz, Casey M and Kim, Hyunju and Steffen, Lyn M and van Westing, Anniek C and Geleijnse, Johanna M and Hoogeveen, Ellen K and Chen, Yun-Yu and Chien, Kuo-Liong and Fretts, Amanda M and Lemaitre, Rozenn N and Imamura, Fumiaki and Forouhi, Nita G and Wareham, Nicholas J and Birukov, Anna and J{\"a}ger, Susanne and Kuxhaus, Olga and Schulze, Matthias B and de Mello, Vanessa Derenji and Tuomilehto, Jaakko and Uusitupa, Matti and Lindstr{\"o}m, Jaana and Tintle, Nathan and Harris, William S and Yamasaki, Keisuke and Hirakawa, Yoichiro and Ninomiya, Toshiharu and Tanaka, Toshiko and Ferrucci, Luigi and Bandinelli, Stefania and Virtanen, Jyrki K and Voutilainen, Ari and Jayasena, Tharusha and Thalamuthu, Anbupalam and Poljak, Anne and Bustamante, Sonia and Sachdev, Perminder S and Senn, Mackenzie K and Rich, Stephen S and Tsai, Michael Y and Wood, Alexis C and Laakso, Markku and Lankinen, Maria and Yang, Xiaowei and Sun, Liang and Li, Huaixing and Lin, Xu and Nowak, Christoph and Arnl{\"o}v, Johan and Riserus, Ulf and Lind, Lars and Le Goff, M{\'e}lanie and Samieri, Cecilia and Helmer, Catherine and Qian, Frank and Micha, Renata and Tin, Adrienne and K{\"o}ttgen, Anna and de Boer, Ian H and Siscovick, David S and Mozaffarian, Dariush and Wu, Jason HY} } @article {9285, title = {Association of Rare Protein-Truncating DNA Variants in APOB or PCSK9 With Low-density Lipoprotein Cholesterol Level and Risk of Coronary Heart Disease.}, journal = {JAMA Cardiol}, year = {2023}, month = {2023 Feb 01}, abstract = {

IMPORTANCE: Protein-truncating variants (PTVs) in apolipoprotein B (APOB) and proprotein convertase subtilisin/kexin type 9 (PCSK9) are associated with significantly lower low-density lipoprotein (LDL) cholesterol concentrations. The association of these PTVs with coronary heart disease (CHD) warrants further characterization in large, multiracial prospective cohort studies.

OBJECTIVE: To evaluate the association of PTVs in APOB and PCSK9 with LDL cholesterol concentrations and CHD risk.

DESIGN, SETTING, AND PARTICIPANTS: This studied included participants from 5 National Heart, Lung, and Blood Institute (NHLBI) studies and the UK Biobank. NHLBI study participants aged 5 to 84 years were recruited between 1971 and 2002 across the US and underwent whole-genome sequencing. UK Biobank participants aged 40 to 69 years were recruited between 2006 and 2010 in the UK and underwent whole-exome sequencing. Data were analyzed from June 2021 to October 2022.

EXPOSURES: PTVs in APOB and PCSK9.

MAIN OUTCOMES AND MEASURES: Estimated untreated LDL cholesterol levels and CHD.

RESULTS: Among 19 073 NHLBI participants (10 598 [55.6\%] female; mean [SD] age, 52 [17] years), 139 (0.7\%) carried an APOB or PCSK9 PTV, which was associated with 49 mg/dL (95\% CI, 43-56) lower estimated untreated LDL cholesterol level. Over a median (IQR) follow-up of 21.5 (13.9-29.4) years, incident CHD was observed in 12 of 139 carriers (8.6\%) vs 3029 of 18 934 noncarriers (16.0\%), corresponding to an adjusted hazard ratio of 0.51 (95\% CI, 0.28-0.89; P = .02). Among 190 464 UK Biobank participants (104 831 [55.0\%] female; mean [SD] age, 57 [8] years), 662 (0.4\%) carried a PTV, which was associated with 45 mg/dL (95\% CI, 42-47) lower estimated untreated LDL cholesterol level. Estimated CHD risk by age 75 years was 3.7\% (95\% CI, 2.0-5.3) in carriers vs 7.0\% (95\% CI, 6.9-7.2) in noncarriers, corresponding to an adjusted hazard ratio of 0.51 (95\% CI, 0.32-0.81; P = .004).

CONCLUSIONS AND RELEVANCE: Among 209 537 individuals in this study, 0.4\% carried an APOB or PCSK9 PTV that was associated with less exposure to LDL cholesterol and a 49\% lower risk of CHD.

}, issn = {2380-6591}, doi = {10.1001/jamacardio.2022.5271}, author = {Dron, Jacqueline S and Patel, Aniruddh P and Zhang, Yiyi and Jurgens, Sean J and Maamari, Dimitri J and Wang, Minxian and Boerwinkle, Eric and Morrison, Alanna C and de Vries, Paul S and Fornage, Myriam and Hou, Lifang and Lloyd-Jones, Donald M and Psaty, Bruce M and Tracy, Russell P and Bis, Joshua C and Vasan, Ramachandran S and Levy, Daniel and Heard-Costa, Nancy and Rich, Stephen S and Guo, Xiuqing and Taylor, Kent D and Gibbs, Richard A and Rotter, Jerome I and Willer, Cristen J and Oelsner, Elizabeth C and Moran, Andrew E and Peloso, Gina M and Natarajan, Pradeep and Khera, Amit V} } @article {9388, title = {Association of Severe Hypercholesterolemia and Familial Hypercholesterolemia Genotype With Risk of Coronary Heart Disease.}, journal = {Circulation}, volume = {147}, year = {2023}, month = {2023 May 16}, pages = {1556-1559}, keywords = {Coronary Disease, Genotype, Humans, Hypercholesterolemia, Hyperlipoproteinemia Type II}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.123.064168}, author = {Zhang, Yiyi and Dron, Jacqueline S and Bellows, Brandon K and Khera, Amit V and Liu, Junxiu and Balte, Pallavi P and Oelsner, Elizabeth C and Amr, Sami Samir and Lebo, Matthew S and Nagy, Anna and Peloso, Gina M and Natarajan, Pradeep and Rotter, Jerome I and Willer, Cristen and Boerwinkle, Eric and Ballantyne, Christie M and Lutsey, Pamela L and Fornage, Myriam and Lloyd-Jones, Donald M and Hou, Lifang and Psaty, Bruce M and Bis, Joshua C and Floyd, James S and Vasan, Ramachandran S and Heard-Costa, Nancy L and Carson, April P and Hall, Michael E and Rich, Stephen S and Guo, Xiuqing and Kazi, Dhruv S and de Ferranti, Sarah D and Moran, Andrew E} } @article {9381, title = {{Associations Between Vascular Risk Factor Levels and Cognitive Decline Among Stroke Survivors}, journal = {JAMA Netw Open}, volume = {6}, year = {2023}, month = {May}, pages = {e2313879}, abstract = {Incident stroke is associated with accelerated cognitive decline. Whether poststroke vascular risk factor levels are associated with faster cognitive decline is uncertain.\ To evaluate associations of poststroke systolic blood pressure (SBP), glucose, and low-density lipoprotein (LDL) cholesterol levels with cognitive decline.\ Individual participant data meta-analysis of 4 US cohort studies (conducted 1971-2019). Linear mixed-effects models estimated changes in cognition after incident stroke. Median (IQR) follow-up was 4.7 (2.6-7.9) years. Analysis began August 2021 and was completed March 2023.\ Time-dependent cumulative mean poststroke SBP, glucose, and LDL cholesterol levels.\ The primary outcome was change in global cognition. Secondary outcomes were change in executive function and memory. Outcomes were standardized as t scores (mean [SD], 50 [10]); a 1-point difference represents a 0.1-SD difference in cognition.\ .002) but not executive function or memory declines.\ In this cohort study, higher poststroke glucose levels were associated with faster global cognitive decline. We found no evidence that poststroke LDL cholesterol and SBP levels were associated with cognitive decline.}, author = {Levine, D. A. and Chen, B. and Galecki, A. T. and Gross, A. L. and o, E. M. and Whitney, R. T. and Ploutz-Snyder, R. J. and Giordani, B. J. and Sussman, J. B. and Burke, J. F. and Lazar, R. M. and Howard, V. J. and Aparicio, H. J. and Beiser, A. S. and Elkind, M. S. V. and Gottesman, R. F. and Koton, S. and Pendlebury, S. T. and Sharma, A. and Springer, M. V. and Seshadri, S. and Romero, J. R. and Hayward, R. A.} } @article {9240, title = {Circulating differentiated and senescent lymphocyte subsets and incident diabetes risk in older adults: The Cardiovascular Health Study.}, journal = {Endocrinol Diabetes Metab}, volume = {6}, year = {2023}, month = {2023 Jan}, pages = {e384}, abstract = {

INTRODUCTION: Cellular senescence is a feature of aging implicated in the pathophysiology of diabetes mellitus (DM). Whether senescent lymphocytes are associated with the future occurrence of DM is uncertain.

METHODS: We used cryopreserved peripheral blood mononuclear cells collected from 1860 Cardiovascular Health Study participants (average age 80.2 years) and flow cytometry immunophenotyping to evaluate the longitudinal relationships of naive (CD45RA ), memory (CD45RO ), senescent (CD28 ), and T effector memory RA (TEMRA) (CD28 CD57 CD45RA ) CD4 and CD8 T cells, and memory B cells (CD19 CD27 ), with the risk of incident DM. In exploratory analyses we evaluated the relationships of 13 additional innate lymphocyte and CD4 and CD8 subsets with incident DM risk.

RESULTS: Over a median follow-up time of 8.9 years, 155 cases of incident DM occurred. In Cox models adjusted for demographic variables (age, sex, race, study site and flow cytometry analytical batch) or diabetes risk factors (demographic variables plus education, body mass index, smoking status, alcohol use, systolic blood pressure, hypertension medication use and physical activity), no significant associations were observed for any CD4 , CD8 or CD19 cell phenotypes with incident DM.

CONCLUSIONS: These results suggest the frequencies of naive, memory and senescent T cells and memory B cells are not strongly associated with incident DM risk in older adults.

}, keywords = {CD28 Antigens, CD8-Positive T-Lymphocytes, Cellular Senescence, Diabetes Mellitus, Leukocytes, Mononuclear, Lymphocyte Subsets}, issn = {2398-9238}, doi = {10.1002/edm2.384}, author = {Olson, Nels C and Doyle, Margaret F and B{\r u}zkov{\'a}, Petra and Huber, Sally A and de Boer, Ian H and Sitlani, Colleen M and Tracy, Russell P and Psaty, Bruce M and Mukamal, Kenneth J and Delaney, Joseph A} } @article {9477, title = {Circulating Omega-3 and Omega-6 Fatty Acids, Cognitive Decline, and Dementia in Older Adults.}, journal = {J Alzheimers Dis}, year = {2023}, month = {2023 Aug 23}, abstract = {

BACKGROUND: Comprising nearly 35\% of brain lipids, polyunsaturated fatty acids (PUFA) are essential for optimal brain function. However, the role of PUFA on cognitive health outcomes later in life is largely unknown.

OBJECTIVE: We investigated prospective associations of plasma phospholipid omega-3 (ALA [18 : 3], EPA [20 : 5], DPA [22 : 5], DHA [22 : 6]) and omega-6 (LA [18 : 2], AA [20 : 4]) PUFA with cognitive decline, risk of cognitive impairment and dementia among adults aged>=65 years in the Cardiovascular Health Study.

METHODS: Circulating fatty acid concentrations were measured serially at baseline (1992/1993), 6 years, and 13 years later. Cognitive decline and impairment were assessed using the 100-point Modified Mini-Mental State Examination (3MSE) up to 7 times. Clinical dementia was identified using adjudicated neuropsychological tests, and ICD-9 codes.

RESULTS: Among 3,564 older adults free of stroke and dementia at baseline, cognitive function declined annually by approximately -0.5 3MSE points; 507 participants developed cognitive impairment and 499 dementia over up to 23 years of follow-up. In multivariable models, higher circulating arachidonic acid (AA) concentrations were associated with slower cognitive decline and lower dementia risk, with associations growing stronger with greater length of follow-up (hazard ratio [HR,95\% CI] of dementia per interquintile range, 0.74 [0.56-0.97] at 5 years, and 0.53 [0.37-0.77] at 15 years). Circulating docosapentaenoic (DPA) concentrations were associated with slower cognitive decline and lower risk of cognitive impairment (extreme-quintile HR, 0.72 [95\% CI: 0.55, 0.95]). Findings were generally null or inconsistent for other omega-3 or omega-6 PUFA.

CONCLUSION: Circulating AA and DPA, but not other PUFA, are associated with slower rate of cognitive decline and lower risk of dementia or cognitive impairment later in life.

}, issn = {1875-8908}, doi = {10.3233/JAD-230083}, author = {de Oliveira Otto, Marcia C and Wu, Jason H Y and Thacker, Evan L and Lai, Heidi Tsz Mung and Lemaitre, Rozenn N and Padhye, Nikhil and Song, Xiaoling and King, Irena B and Lopez, Oscar and Siscovick, David S and Mozaffarian, Dariush} } @article {9487, title = {Factors Associated With Circulating Sex Hormones in Men : Individual Participant Data Meta-analyses.}, journal = {Ann Intern Med}, year = {2023}, month = {2023 Aug 29}, abstract = {

BACKGROUND: Various factors modulate circulating testosterone in men, affecting interpretation of testosterone measurements.

PURPOSE: To clarify factors associated with variations in sex hormone concentrations.

DATA SOURCES: Systematic literature searches (to July 2019).

STUDY SELECTION: Prospective cohort studies of community-dwelling men with total testosterone measured using mass spectrometry.

DATA EXTRACTION: Individual participant data (IPD) (9 studies; ~= 21 074) and aggregate data (2 studies; ~= 4075). Sociodemographic, lifestyle, and health factors and concentrations of total testosterone, sex hormone-binding globulin (SHBG), luteinizing hormone (LH), dihydrotestosterone, and estradiol were extracted.

DATA SYNTHESIS: Two-stage random-effects IPD meta-analyses found a nonlinear association of testosterone with age, with negligible change among men aged 17 to 70 years (change per SD increase about the midpoint, -0.27 nmol/L [-7.8 ng/dL] [CI, -0.71 to 0.18 nmol/L {-20.5 to 5.2 ng/dL}]) and decreasing testosterone levels with age for men older than 70 years (-1.55 nmol/L [-44.7 ng/dL] [CI, -2.05 to -1.06 nmol/L {-59.1 to -30.6 ng/dL}]). Testosterone was inversely associated with body mass index (BMI) (change per SD increase, -2.42 nmol/L [-69.7 ng/dL] [CI, -2.70 to -2.13 nmol/L {-77.8 to -61.4 ng/dL}]). Testosterone concentrations were lower for men who were married (mean difference, -0.57 nmol/L [-16.4 ng/dL] [CI, -0.89 to -0.26 nmol/L {-25.6 to -7.5 ng/dL}]); undertook at most 75 minutes of vigorous physical activity per week (-0.51 nmol/L [-14.7 ng/dL] [CI, -0.90 to -0.13 nmol/L {-25.9 to -3.7 ng/dL}]); were former smokers (-0.34 nmol/L [-9.8 ng/dL] [CI, -0.55 to -0.12 nmol/L {-15.9 to -3.5 ng/dL}]); or had hypertension (-0.53 nmol/L [-15.3 ng/dL] [CI, -0.82 to -0.24 nmol/L {-23.6 to -6.9 ng/dL}]), cardiovascular disease (-0.35 nmol/L [-10.1 ng/dL] [CI, -0.55 to -0.15 nmol/L {-15.9 to -4.3 ng/dL}]), cancer (-1.39 nmol/L [-40.1 ng/dL] [CI, -1.79 to -0.99 nmol/L {-51.6 to -28.5 ng/dL}]), or diabetes (-1.43 nmol/L [-41.2 ng/dL] [CI, -1.65 to -1.22 nmol/L {-47.6 to -35.2 ng/dL}]). Sex hormone-binding globulin was directly associated with age and inversely associated with BMI. Luteinizing hormone was directly associated with age in men older than 70 years.

LIMITATION: Cross-sectional analysis, heterogeneity between studies and in timing of blood sampling, and imputation for missing data.

CONCLUSION: Multiple factors are associated with variation in male testosterone, SHBG, and LH concentrations. Reduced testosterone and increased LH concentrations may indicate impaired testicular function after age 70 years. Interpretation of individual testosterone measurements should account particularly for age older than 70 years, obesity, diabetes, and cancer.

PRIMARY FUNDING SOURCE: Medical Research Future Fund, Government of Western Australia, and Lawley Pharmaceuticals. (PROSPERO: CRD42019139668).

}, issn = {1539-3704}, doi = {10.7326/M23-0342}, author = {Marriott, Ross J and Murray, Kevin and Adams, Robert J and Antonio, Leen and Ballantyne, Christie M and Bauer, Douglas C and Bhasin, Shalender and Biggs, Mary L and Cawthon, Peggy M and Couper, David J and Dobs, Adrian S and Flicker, Leon and Handelsman, David J and Hankey, Graeme J and Hannemann, Anke and Haring, Robin and Hsu, Benjumin and Karlsson, Magnus and Martin, Sean A and Matsumoto, Alvin M and Mellstr{\"o}m, Dan and Ohlsson, Claes and O{\textquoteright}Neill, Terence W and Orwoll, Eric S and Quartagno, Matteo and Shores, Molly M and Steveling, Antje and Tivesten, {\r A}sa and Travison, Thomas G and Vanderschueren, Dirk and Wittert, Gary A and Wu, Frederick C W and Yeap, Bu B} } @article {9535, title = {Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci.}, journal = {Front Genet}, volume = {14}, year = {2023}, month = {2023}, pages = {1235337}, abstract = {

Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes. A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: "Some College" (yes/no, for any education beyond high school) and "Graduated College" (yes/no, for completing a 4-year college degree). Genome-wide significant ( < 5 {\texttimes} 10) and suggestive ( < 1 {\texttimes} 10) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals). In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose (), brain (), and liver () biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue. Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects.

}, issn = {1664-8021}, doi = {10.3389/fgene.2023.1235337}, author = {de Las Fuentes, Lisa and Schwander, Karen L and Brown, Michael R and Bentley, Amy R and Winkler, Thomas W and Sung, Yun Ju and Munroe, Patricia B and Miller, Clint L and Aschard, Hugo and Aslibekyan, Stella and Bartz, Traci M and Bielak, Lawrence F and Chai, Jin Fang and Cheng, Ching-Yu and Dorajoo, Rajkumar and Feitosa, Mary F and Guo, Xiuqing and Hartwig, Fernando P and Horimoto, Andrea and Kolcic, Ivana and Lim, Elise and Liu, Yongmei and Manning, Alisa K and Marten, Jonathan and Musani, Solomon K and Noordam, Raymond and Padmanabhan, Sandosh and Rankinen, Tuomo and Richard, Melissa A and Ridker, Paul M and Smith, Albert V and Vojinovic, Dina and Zonderman, Alan B and Alver, Maris and Boissel, Mathilde and Christensen, Kaare and Freedman, Barry I and Gao, Chuan and Giulianini, Franco and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Kuhnel, Brigitte and Laguzzi, Federica and Li, Xiaoyin and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Poveda, Alaitz and Rauramaa, Rainer and Riaz, Muhammad and Robino, Antonietta and Sofer, Tamar and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Verweij, Niek and Ware, Erin B and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Zhan, Yiqiang and Amin, Najaf and Arking, Dan E and Ballantyne, Christie and Boerwinkle, Eric and Brody, Jennifer A and Broeckel, Ulrich and Campbell, Archie and Canouil, Micka{\"e}l and Chai, Xiaoran and Chen, Yii-Der Ida and Chen, Xu and Chitrala, Kumaraswamy Naidu and Concas, Maria Pina and de Faire, Ulf and de Mutsert, Ren{\'e}e and de Silva, H Janaka and de Vries, Paul S and Do, Ahn and Faul, Jessica D and Fisher, Virginia and Floyd, James S and Forrester, Terrence and Friedlander, Yechiel and Girotto, Giorgia and Gu, C Charles and Hallmans, G{\"o}ran and Heikkinen, Sami and Heng, Chew-Kiat and Homuth, Georg and Hunt, Steven and Ikram, M Arfan and Jacobs, David R and Kavousi, Maryam and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Komulainen, Pirjo and Langefeld, Carl D and Liang, Jingjing and Liu, Kiang and Liu, Jianjun and Lohman, Kurt and M{\"a}gi, Reedik and Manichaikul, Ani W and McKenzie, Colin A and Meitinger, Thomas and Milaneschi, Yuri and Nauck, Matthias and Nelson, Christopher P and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Pereira, Alexandre C and Perls, Thomas and Peters, Annette and Polasek, Ozren and Raitakari, Olli T and Rice, Kenneth and Rice, Treva K and Rich, Stephen S and Sabanayagam, Charumathi and Schreiner, Pamela J and Shu, Xiao-Ou and Sidney, Stephen and Sims, Mario and Smith, Jennifer A and Starr, John M and Strauch, Konstantin and Tai, E Shyong and Taylor, Kent D and Tsai, Michael Y and Uitterlinden, Andr{\'e} G and van Heemst, Diana and Waldenberger, Melanie and Wang, Ya-Xing and Wei, Wen-Bin and Wilson, Gregory and Xuan, Deng and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Becker, Diane M and Bonnefond, Am{\'e}lie and Bowden, Donald W and Cooper, Richard S and Deary, Ian J and Divers, Jasmin and Esko, T{\~o}nu and Franks, Paul W and Froguel, Philippe and Gieger, Christian and Jonas, Jost B and Kato, Norihiro and Lakka, Timo A and Leander, Karin and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and North, Kari E and Ntalla, Ioanna and Penninx, Brenda and Samani, Nilesh J and Snieder, Harold and Spedicati, Beatrice and van der Harst, Pim and V{\"o}lzke, Henry and Wagenknecht, Lynne E and Weir, David R and Wojczynski, Mary K and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Bouchard, Claude and Chasman, Daniel I and Evans, Michele K and Fox, Ervin R and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kardia, Sharon L R and Krieger, Jose Eduardo and Mook-Kanamori, Dennis O and Peyser, Patricia A and Province, Michael M and Psaty, Bruce M and Rudan, Igor and Sim, Xueling and Smith, Blair H and van Dam, Rob M and van Duijn, Cornelia M and Wong, Tien Yin and Arnett, Donna K and Rao, Dabeeru C and Gauderman, James and Liu, Ching-Ti and Morrison, Alanna C and Rotter, Jerome I and Fornage, Myriam} } @article {9322, title = {Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease.}, journal = {Nat Commun}, volume = {14}, year = {2023}, month = {2023 Mar 14}, pages = {1411}, abstract = {

The 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry genome-wide association studies we identify 61 (58 previously unreported) loci for the spatial QRS-T angle (N = 118,780) and 11 for the frontal QRS-T angle (N = 159,715). Seven out of the 61 spatial QRS-T angle loci have not been reported for other electrocardiographic measures. Enrichments are observed in pathways related to cardiac and vascular development, muscle contraction, and hypertrophy. Pairwise genome-wide association studies with classical ECG traits identify shared genetic influences with PR interval and QRS duration.~Phenome-wide scanning indicate associations with atrial fibrillation, atrioventricular block and arterial embolism~and~genetically determined QRS-T angle measures are associated with fascicular and bundle branch block (and also atrioventricular block for the frontal QRS-T angle). We identify potential biology involved in the QRS-T angle~and~their genetic relationships with cardiovascular traits and diseases, may inform future research and risk prediction.

}, keywords = {Arrhythmias, Cardiac, Atrioventricular Block, Biomarkers, Cardiovascular Diseases, Electrocardiography, Genome-Wide Association Study, Humans, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-023-36997-w}, author = {Young, William J and Haessler, Jeffrey and Benjamins, Jan-Walter and Repetto, Linda and Yao, Jie and Isaacs, Aaron and Harper, Andrew R and Ramirez, Julia and Garnier, Sophie and Van Duijvenboden, Stefan and Baldassari, Antoine R and Concas, Maria Pina and Duong, ThuyVy and Foco, Luisa and Isaksen, Jonas L and Mei, Hao and Noordam, Raymond and Nursyifa, Casia and Richmond, Anne and Santolalla, Meddly L and Sitlani, Colleen M and Soroush, Negin and Th{\'e}riault, S{\'e}bastien and Trompet, Stella and Aeschbacher, Stefanie and Ahmadizar, Fariba and Alonso, Alvaro and Brody, Jennifer A and Campbell, Archie and Correa, Adolfo and Darbar, Dawood and De Luca, Antonio and Deleuze, Jean-Francois and Ellervik, Christina and Fuchsberger, Christian and Goel, Anuj and Grace, Christopher and Guo, Xiuqing and Hansen, Torben and Heckbert, Susan R and Jackson, Rebecca D and Kors, Jan A and Lima-Costa, Maria Fernanda and Linneberg, Allan and Macfarlane, Peter W and Morrison, Alanna C and Navarro, Pau and Porteous, David J and Pramstaller, Peter P and Reiner, Alexander P and Risch, Lorenz and Schotten, Ulrich and Shen, Xia and Sinagra, Gianfranco and Soliman, Elsayed Z and Stoll, Monika and Tarazona-Santos, Eduardo and Tinker, Andrew and Trajanoska, Katerina and Villard, Eric and Warren, Helen R and Whitsel, Eric A and Wiggins, Kerri L and Arking, Dan E and Avery, Christy L and Conen, David and Girotto, Giorgia and Grarup, Niels and Hayward, Caroline and Jukema, J Wouter and Mook-Kanamori, Dennis O and Olesen, Morten Salling and Padmanabhan, Sandosh and Psaty, Bruce M and Pattaro, Cristian and Ribeiro, Antonio Luiz P and Rotter, Jerome I and Stricker, Bruno H and van der Harst, Pim and van Duijn, Cornelia M and Verweij, Niek and Wilson, James G and Orini, Michele and Charron, Philippe and Watkins, Hugh and Kooperberg, Charles and Lin, Henry J and Wilson, James F and Kanters, J{\o}rgen K and Sotoodehnia, Nona and Mifsud, Borbala and Lambiase, Pier D and Tereshchenko, Larisa G and Munroe, Patricia B} } @article {9419, title = {The genetic determinants of recurrent somatic mutations in 43,693 blood genomes.}, journal = {Sci Adv}, volume = {9}, year = {2023}, month = {2023 Apr 28}, pages = {eabm4945}, abstract = {

Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-missense somatic mutations that are recurrently mutated in at least 50 individuals. These recurrent non-missense somatic mutations (RNMSMs) are not clearly explained by other clonal phenomena such as clonal hematopoiesis. RNMSM prevalence increased with age, with an average 50-year-old having 27 RNMSMs. Inherited germline variation associated with RNMSM acquisition. These variants were found in genes involved in adaptive immune function, proinflammatory cytokine production, and lymphoid lineage commitment. In addition, the presence of eight specific RNMSMs associated with blood cell traits at effect sizes comparable to Mendelian genetic mutations. Overall, we found that somatic mutations in blood are an unexpectedly common phenomenon with ancestry-specific determinants and human health consequences.

}, keywords = {Germ-Line Mutation, Hematopoiesis, Humans, Middle Aged, Mutation, Mutation, Missense, Phenotype}, issn = {2375-2548}, doi = {10.1126/sciadv.abm4945}, author = {Weinstock, Joshua S and Laurie, Cecelia A and Broome, Jai G and Taylor, Kent D and Guo, Xiuqing and Shuldiner, Alan R and O{\textquoteright}Connell, Jeffrey R and Lewis, Joshua P and Boerwinkle, Eric and Barnes, Kathleen C and Chami, Nathalie and Kenny, Eimear E and Loos, Ruth J F and Fornage, Myriam and Redline, Susan and Cade, Brian E and Gilliland, Frank D and Chen, Zhanghua and Gauderman, W James and Kumar, Rajesh and Grammer, Leslie and Schleimer, Robert P and Psaty, Bruce M and Bis, Joshua C and Brody, Jennifer A and Silverman, Edwin K and Yun, Jeong H and Qiao, Dandi and Weiss, Scott T and Lasky-Su, Jessica and DeMeo, Dawn L and Palmer, Nicholette D and Freedman, Barry I and Bowden, Donald W and Cho, Michael H and Vasan, Ramachandran S and Johnson, Andrew D and Yanek, Lisa R and Becker, Lewis C and Kardia, Sharon and He, Jiang and Kaplan, Robert and Heckbert, Susan R and Smith, Nicholas L and Wiggins, Kerri L and Arnett, Donna K and Irvin, Marguerite R and Tiwari, Hemant and Correa, Adolfo and Raffield, Laura M and Gao, Yan and de Andrade, Mariza and Rotter, Jerome I and Rich, Stephen S and Manichaikul, Ani W and Konkle, Barbara A and Johnsen, Jill M and Wheeler, Marsha M and Custer, Brian S and Duggirala, Ravindranath and Curran, Joanne E and Blangero, John and Gui, Hongsheng and Xiao, Shujie and Williams, L Keoki and Meyers, Deborah A and Li, Xingnan and Ortega, Victor and McGarvey, Stephen and Gu, C Charles and Chen, Yii-Der Ida and Lee, Wen-Jane and Shoemaker, M Benjamin and Darbar, Dawood and Roden, Dan and Albert, Christine and Kooperberg, Charles and Desai, Pinkal and Blackwell, Thomas W and Abecasis, Goncalo R and Smith, Albert V and Kang, Hyun M and Mathias, Rasika and Natarajan, Pradeep and Jaiswal, Siddhartha and Reiner, Alexander P and Bick, Alexander G} } @article {9465, title = {Genome-Wide Association Studies and fine-mapping of genomic loci for n-3 and n-6 Polyunsaturated Fatty Acids in Hispanic American and African American Cohorts.}, journal = {Res Sq}, year = {2023}, month = {2023 Feb 24}, abstract = {

Omega-3 (n-3) and omega-6 (n-6) polyunsaturated fatty acids (PUFAs) play critical roles in human health. Prior genome-wide association studies (GWAS) of n-3 and n-6 PUFAs in European Americans from the CHARGE Consortium have documented strong genetic signals in/near the locus on chromosome 11. We performed a GWAS of four n-3 and four n-6 PUFAs in Hispanic American (n = 1454) and African American (n = 2278) participants from three CHARGE cohorts. Applying a genome-wide significance threshold of < 5 x 10 , we confirmed association of the signal and found evidence of two additional signals (in and ) within 200 kb of the originally reported signal. Outside of the region, we identified novel signals for arachidonic acid (AA) in Hispanic Americans located in/near genes including , , and spanning a > 9 Mb region on chromosome 11 (57.5Mb ~ 67.1Mb). Among these novel signals, we found associations unique to Hispanic Americans, including rs28364240, a missense variant for AA that is common in CHARGE Hispanic Americans but absent in other race/ancestry groups. Our study sheds light on the genetics of PUFAs and the value of investigating complex trait genetics across diverse ancestry populations.

}, doi = {10.21203/rs.3.rs-2073736/v1}, author = {Yang, Chaojie and Veenstra, Jenna and Bartz, Traci and Pahl, Matthew and Hallmark, Brian and Chen, Yii-Der Ida and Westra, Jason and Steffen, Lyn and Brown, Christopher and Siscovick, David and Tsai, Michael and Wood, Alexis and Rich, Stephen and Smith, Caren and O{\textquoteright}Connor, Timothy and Mozaffarian, Dariush and Grant, Struan and Chilton, Floyd and Tintle, Nathan and Lemaitre, Rozenn and Manichaikul, Ani} } @article {9583, title = {Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure.}, journal = {medRxiv}, year = {2023}, month = {2023 Nov 11}, abstract = {

OBJECTIVE: We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP).

METHODS: We analyzed up to 9,420,585 biallelic imputed single nucleotide polymorphisms (SNPs) in up to 127,282 individuals of six population groups (91\% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (CHARGE; n=35,660) and UK Biobank (n=91,622) and performed European population-specific and cross-population meta-analyses.

RESULTS: We identified three loci in European-specific analyses and an additional four loci in cross-population analyses at P for interaction < 5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency = 0.03) and the DASH diet score (P for interaction = 4e-8; P for heterogeneity = 0.35) in European population, where the interaction effect size was 0.42{\textpm}0.09 mm Hg (P for interaction = 9.4e-7) and 0.20{\textpm}0.06 mm Hg (P for interaction = 0.001) in CHARGE and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with -expression quantitative trait loci (eQTL) variants (P = 4e-273) and -DNA methylation quantitative trait loci (mQTL) variants (P = 1e-300). While the closest gene for rs117878928 is , the highest narrow sense heritability accounted by SNPs potentially interacting with the DASH diet score in this locus was for gene at 15q25.1.

CONCLUSION: We demonstrated gene-DASH diet score interaction effects on SBP in several loci. Studies with larger diverse populations are needed to validate our findings.

}, doi = {10.1101/2023.11.10.23298402}, author = {Guirette, Melanie and Lan, Jessie and McKeown, Nicola and Brown, Michael R and Chen, Han and de Vries, Paul S and Kim, Hyunju and Rebholz, Casey M and Morrison, Alanna C and Bartz, Traci M and Fretts, Amanda M and Guo, Xiuqing and Lemaitre, Rozenn N and Liu, Ching-Ti and Noordam, Raymond and de Mutsert, Ren{\'e}e and Rosendaal, Frits R and Wang, Carol A and Beilin, Lawrence and Mori, Trevor A and Oddy, Wendy H and Pennell, Craig E and Chai, Jin Fang and Whitton, Clare and van Dam, Rob M and Liu, Jianjun and Tai, E Shyong and Sim, Xueling and Neuhouser, Marian L and Kooperberg, Charles and Tinker, Lesley and Franceschini, Nora and Huan, Tianxiao and Winkler, Thomas W and Bentley, Amy R and Gauderman, W James and Heerkens, Luc and Tanaka, Toshiko and van Rooij, Jeroen and Munroe, Patricia B and Warren, Helen R and Voortman, Trudy and Chen, Honglei and Rao, D C and Levy, Daniel and Ma, Jiantao} } @article {9483, title = {Late-life plasma proteins associated with prevalent and incident frailty: A proteomic analysis.}, journal = {Aging Cell}, year = {2023}, month = {2023 Sep 11}, abstract = {

Proteomic approaches have unique advantages in the identification of biological pathways that influence physical frailty, a multifactorial geriatric syndrome predictive of adverse health outcomes in older adults. To date, proteomic studies of frailty are scarce, and few evaluated prefrailty as a separate state or examined predictors of incident frailty. Using plasma proteins measured by 4955 SOMAmers in the Atherosclerosis Risk in Community study, we identified 134 and 179 proteins cross-sectionally associated with prefrailty and frailty, respectively, after Bonferroni correction (p < 1 {\texttimes} 10 ) among 3838 older adults aged >=65 years, adjusting for demographic and physiologic factors and chronic diseases. Among them, 23 (17\%) and 82 (46\%) were replicated in the Cardiovascular Health Study using the same models (FDR p < 0.05). Notably, higher odds of prefrailty and frailty were observed with higher levels of growth differentiation factor 15 (GDF15; p = 1 {\texttimes} 10 , p = 2 {\texttimes} 10 ), transgelin (TAGLN; p = 2 {\texttimes} 10 , p = 6 {\texttimes} 10 ), and insulin-like growth factor-binding protein 2 (IGFBP2; p = 5 {\texttimes} 10 , p = 1 {\texttimes} 10 ) and with a lower level of growth hormone receptor (GHR, p = 3 {\texttimes} 10 , p = 2 {\texttimes} 10 ). Longitudinally, we identified 4 proteins associated with incident frailty (p < 1 {\texttimes} 10 ). Higher levels of triggering receptor expressed on myeloid cells 1 (TREM1), TAGLN, and heart and adipocyte fatty-acid binding proteins predicted incident frailty. Differentially regulated proteins were enriched in pathways and upstream regulators related to lipid metabolism, angiogenesis, inflammation, and cell senescence. Our findings provide a set of plasma proteins and biological mechanisms that were dysregulated in both the prodromal and the clinical stage of frailty, offering new insights into frailty etiology and targets for intervention.

}, issn = {1474-9726}, doi = {10.1111/acel.13975}, author = {Liu, Fangyu and Austin, Thomas R and Schrack, Jennifer A and Chen, Jingsha and Walston, Jeremy and Mathias, Rasika A and Grams, Morgan and Odden, Michelle C and Newman, Anne and Psaty, Bruce M and Ramonfaur, Diego and Shah, Amil M and Windham, B Gwen and Coresh, Josef and Walker, Keenan A} } @article {9586, title = {Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores.}, journal = {medRxiv}, year = {2023}, month = {2023 Dec 14}, abstract = {

We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We developed a two-model ensemble, consisting of a baseline model, where prediction is based on demographic and clinical variables only, and a genetic model, where we also include PRSs. We evaluate the use of a linear versus a non-linear model at both the baseline and the genetic model levels and assess the improvement in performance when incorporating multiple PRSs. We report the ensemble model{\textquoteright}s performance as percentage variance explained (PVE) on a held-out test dataset. A non-linear baseline model improved the PVEs from 28.1\% to 30.1\% (SBP) and 14.3\% to 17.4\% (DBP) compared with a linear baseline model. Including seven PRSs in the genetic model computed based on the largest available GWAS of SBP/DBP improved the genetic model PVE from 4.8\% to 5.1\% (SBP) and 4.7\% to 5\% (DBP) compared to using a single PRS. Adding additional 14 PRSs computed based on two independent GWASs further increased the genetic model PVE to 6.3\% (SBP) and 5.7\% (DBP). PVE differed across self-reported race/ethnicity groups, with primarily all non-White groups benefitting from the inclusion of additional PRSs.

}, doi = {10.1101/2023.12.13.23299909}, author = {Hrytsenko, Yana and Shea, Benjamin and Elgart, Michael and Kurniansyah, Nuzulul and Lyons, Genevieve and Morrison, Alanna C and Carson, April P and Haring, Bernhard and Mitchel, Braxton D and Psaty, Bruce M and Jaeger, Byron C and Gu, C Charles and Kooperberg, Charles and Levy, Daniel and Lloyd-Jones, Donald and Choi, Eunhee and Brody, Jennifer A and Smith, Jennifer A and Rotter, Jerome I and Moll, Matthew and Fornage, Myriam and Simon, Noah and Castaldi, Peter and Casanova, Ramon and Chung, Ren-Hua and Kaplan, Robert and Loos, Ruth J F and Kardia, Sharon L R and Rich, Stephen S and Redline, Susan and Kelly, Tanika and O{\textquoteright}Connor, Timothy and Zhao, Wei and Kim, Wonji and Guo, Xiuqing and Der Ida Chen, Yii and Sofer, Tamar} } @article {9538, title = {Mosaic chromosomal alterations in blood across ancestries using whole-genome sequencing.}, journal = {Nat Genet}, volume = {55}, year = {2023}, month = {2023 Nov}, pages = {1912-1919}, abstract = {

Megabase-scale mosaic chromosomal alterations (mCAs) in blood are prognostic markers for a host of human diseases. Here, to gain a better understanding of mCA rates in genetically diverse populations, we analyzed whole-genome sequencing data from 67,390 individuals from the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program. We observed higher sensitivity with whole-genome sequencing data, compared with array-based data, in uncovering mCAs at low mutant cell fractions and found that individuals of European ancestry have the highest rates of autosomal mCAs and the lowest rates of chromosome X mCAs, compared with individuals of African or Hispanic ancestry. Although further studies in diverse populations will be needed to replicate our findings, we report three loci associated with loss of chromosome X, associations between autosomal mCAs and rare variants in DCPS, ADM17, PPP1R16B and TET2 and ancestry-specific variants in ATM and MPL with mCAs in cis.

}, keywords = {Black People, Genome, Human, Genome-Wide Association Study, Hispanic or Latino, Humans, Mosaicism, Precision Medicine}, issn = {1546-1718}, doi = {10.1038/s41588-023-01553-1}, author = {Jakubek, Yasminka A and Zhou, Ying and Stilp, Adrienne and Bacon, Jason and Wong, Justin W and Ozcan, Zuhal and Arnett, Donna and Barnes, Kathleen and Bis, Joshua C and Boerwinkle, Eric and Brody, Jennifer A and Carson, April P and Chasman, Daniel I and Chen, Jiawen and Cho, Michael and Conomos, Matthew P and Cox, Nancy and Doyle, Margaret F and Fornage, Myriam and Guo, Xiuqing and Kardia, Sharon L R and Lewis, Joshua P and Loos, Ruth J F and Ma, Xiaolong and Machiela, Mitchell J and Mack, Taralynn M and Mathias, Rasika A and Mitchell, Braxton D and Mychaleckyj, Josyf C and North, Kari and Pankratz, Nathan and Peyser, Patricia A and Preuss, Michael H and Psaty, Bruce and Raffield, Laura M and Vasan, Ramachandran S and Redline, Susan and Rich, Stephen S and Rotter, Jerome I and Silverman, Edwin K and Smith, Jennifer A and Smith, Aaron P and Taub, Margaret and Taylor, Kent D and Yun, Jeong and Li, Yun and Desai, Pinkal and Bick, Alexander G and Reiner, Alexander P and Scheet, Paul and Auer, Paul L} } @article {9501, title = {Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification.}, journal = {Nat Genet}, volume = {55}, year = {2023}, month = {2023 Oct}, pages = {1651-1664}, abstract = {

Coronary artery calcification (CAC), a measure of subclinical atherosclerosis, predicts future symptomatic coronary artery disease (CAD). Identifying genetic risk factors for CAC may point to new therapeutic avenues for prevention. Currently, there are only four known risk loci for CAC identified from genome-wide association studies (GWAS) in the general population. Here we conducted the largest multi-ancestry GWAS meta-analysis of CAC to date, which comprised 26,909 individuals of European ancestry and 8,867 individuals of African ancestry. We identified 11 independent risk loci, of which eight were new for CAC and five had not been reported for CAD. These new CAC loci are related to bone mineralization, phosphate catabolism and hormone metabolic pathways. Several new loci harbor candidate causal genes supported by multiple lines of functional evidence and are regulators of smooth muscle cell-mediated calcification ex vivo and in vitro. Together, these findings help refine the genetic architecture of CAC and extend our understanding of the biological and potential druggable pathways underlying CAC.

}, issn = {1546-1718}, doi = {10.1038/s41588-023-01518-4}, author = {Kavousi, Maryam and Bos, Maxime M and Barnes, Hanna J and Lino Cardenas, Christian L and Wong, Doris and Lu, Haojie and Hodonsky, Chani J and Landsmeer, Lennart P L and Turner, Adam W and Kho, Minjung and Hasbani, Natalie R and de Vries, Paul S and Bowden, Donald W and Chopade, Sandesh and Deelen, Joris and Benavente, Ernest Diez and Guo, Xiuqing and Hofer, Edith and Hwang, Shih-Jen and Lutz, Sharon M and Lyytik{\"a}inen, Leo-Pekka and Slenders, Lotte and Smith, Albert V and Stanislawski, Maggie A and van Setten, Jessica and Wong, Quenna and Yanek, Lisa R and Becker, Diane M and Beekman, Marian and Budoff, Matthew J and Feitosa, Mary F and Finan, Chris and Hilliard, Austin T and Kardia, Sharon L R and Kovacic, Jason C and Kral, Brian G and Langefeld, Carl D and Launer, Lenore J and Malik, Shaista and Hoesein, Firdaus A A Mohamed and Mokry, Michal and Schmidt, Reinhold and Smith, Jennifer A and Taylor, Kent D and Terry, James G and van der Grond, Jeroen and van Meurs, Joyce and Vliegenthart, Rozemarijn and Xu, Jianzhao and Young, Kendra A and Zilh{\~a}o, Nuno R and Zweiker, Robert and Assimes, Themistocles L and Becker, Lewis C and Bos, Daniel and Carr, J Jeffrey and Cupples, L Adrienne and de Kleijn, Dominique P V and de Winther, Menno and den Ruijter, Hester M and Fornage, Myriam and Freedman, Barry I and Gudnason, Vilmundur and Hingorani, Aroon D and Hokanson, John E and Ikram, M Arfan and I{\v s}gum, Ivana and Jacobs, David R and K{\"a}h{\"o}nen, Mika and Lange, Leslie A and Lehtim{\"a}ki, Terho and Pasterkamp, Gerard and Raitakari, Olli T and Schmidt, Helena and Slagboom, P Eline and Uitterlinden, Andr{\'e} G and Vernooij, Meike W and Bis, Joshua C and Franceschini, Nora and Psaty, Bruce M and Post, Wendy S and Rotter, Jerome I and Bj{\"o}rkegren, Johan L M and O{\textquoteright}Donnell, Christopher J and Bielak, Lawrence F and Peyser, Patricia A and Malhotra, Rajeev and van der Laan, Sander W and Miller, Clint L} } @article {9385, title = {Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications.}, journal = {medRxiv}, year = {2023}, month = {2023 Mar 31}, abstract = {

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7\% non-European ancestry), including 428,452 T2D cases. We identify 1,289 independent association signals at genome-wide significance (P<5{\texttimes}10 ) that map to 611 loci, of which 145 loci are previously unreported. We define eight non-overlapping clusters of T2D signals characterised by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial, and enteroendocrine cells. We build cluster-specific partitioned genetic risk scores (GRS) in an additional 137,559 individuals of diverse ancestry, including 10,159 T2D cases, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned GRS are more strongly associated with coronary artery disease and end-stage diabetic nephropathy than an overall T2D GRS across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings demonstrate the value of integrating multi-ancestry GWAS with single-cell epigenomics to disentangle the aetiological heterogeneity driving the development and progression of T2D, which may offer a route to optimise global access to genetically-informed diabetes care.

}, doi = {10.1101/2023.03.31.23287839}, author = {Suzuki, Ken and Hatzikotoulas, Konstantinos and Southam, Lorraine and Taylor, Henry J and Yin, Xianyong and Lorenz, Kim M and Mandla, Ravi and Huerta-Chagoya, Alicia and Rayner, Nigel W and Bocher, Ozvan and Ana Luiza de, S V Arruda and Sonehara, Kyuto and Namba, Shinichi and Lee, Simon S K and Preuss, Michael H and Petty, Lauren E and Schroeder, Philip and Vanderwerff, Brett and Kals, Mart and Bragg, Fiona and Lin, Kuang and Guo, Xiuqing and Zhang, Weihua and Yao, Jie and Kim, Young Jin and Graff, Mariaelisa and Takeuchi, Fumihiko and Nano, Jana and Lamri, Amel and Nakatochi, Masahiro and Moon, Sanghoon and Scott, Robert A and Cook, James P and Lee, Jung-Jin and Pan, Ian and Taliun, Daniel and Parra, Esteban J and Chai, Jin-Fang and Bielak, Lawrence F and Tabara, Yasuharu and Hai, Yang and Thorleifsson, Gudmar and Grarup, Niels and Sofer, Tamar and Wuttke, Matthias and Sarnowski, Chloe and Gieger, Christian and Nousome, Darryl and Trompet, Stella and Kwak, Soo-Heon and Long, Jirong and Sun, Meng and Tong, Lin and Chen, Wei-Min and Nongmaithem, Suraj S and Noordam, Raymond and Lim, Victor J Y and Tam, Claudia H T and Joo, Yoonjung Yoonie and Chen, Chien-Hsiun and Raffield, Laura M and Prins, Bram Peter and Nicolas, Aude and Yanek, Lisa R and Chen, Guanjie and Brody, Jennifer A and Kabagambe, Edmond and An, Ping and Xiang, Anny H and Choi, Hyeok Sun and Cade, Brian E and Tan, Jingyi and Alaine Broadaway, K and Williamson, Alice and Kamali, Zoha and Cui, Jinrui and Adair, Linda S and Adeyemo, Adebowale and Aguilar-Salinas, Carlos A and Ahluwalia, Tarunveer S and Anand, Sonia S and Bertoni, Alain and Bork-Jensen, Jette and Brandslund, Ivan and Buchanan, Thomas A and Burant, Charles F and Butterworth, Adam S and Canouil, Micka{\"e}l and Chan, Juliana C N and Chang, Li-Ching and Chee, Miao-Li and Chen, Ji and Chen, Shyh-Huei and Chen, Yuan-Tsong and Chen, Zhengming and Chuang, Lee-Ming and Cushman, Mary and Danesh, John and Das, Swapan K and Janaka de Silva, H and Dedoussis, George and Dimitrov, Latchezar and Doumatey, Ayo P and Du, Shufa and Duan, Qing and Eckardt, Kai-Uwe and Emery, Leslie S and Evans, Daniel S and Evans, Michele K and Fischer, Krista and Floyd, James S and Ford, Ian and Franco, Oscar H and Frayling, Timothy M and Freedman, Barry I and Genter, Pauline and Gerstein, Hertzel C and Giedraitis, Vilmantas and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez-Villalpando, Maria Elena and Gordon-Larsen, Penny and Gross, Myron and Guare, Lindsay A and Hackinger, Sophie and Han, Sohee and Hattersley, Andrew T and Herder, Christian and Horikoshi, Momoko and Howard, Annie-Green and Hsueh, Willa and Huang, Mengna and Huang, Wei and Hung, Yi-Jen and Hwang, Mi Yeong and Hwu, Chii-Min and Ichihara, Sahoko and Ikram, Mohammad Arfan and Ingelsson, Martin and Islam, Md Tariqul and Isono, Masato and Jang, Hye-Mi and Jasmine, Farzana and Jiang, Guozhi and Jonas, Jost B and J{\o}rgensen, Torben and Kandeel, Fouad R and Kasturiratne, Anuradhani and Katsuya, Tomohiro and Kaur, Varinderpal and Kawaguchi, Takahisa and Keaton, Jacob M and Kho, Abel N and Khor, Chiea-Chuen and Kibriya, Muhammad G and Kim, Duk-Hwan and Kronenberg, Florian and Kuusisto, Johanna and L{\"a}ll, Kristi and Lange, Leslie A and Lee, Kyung Min and Lee, Myung-Shik and Lee, Nanette R and Leong, Aaron and Li, Liming and Li, Yun and Li-Gao, Ruifang and Lithgart, Symen and Lindgren, Cecilia M and Linneberg, Allan and Liu, Ching-Ti and Liu, Jianjun and Locke, Adam E and Louie, Tin and Luan, Jian{\textquoteright}an and Luk, Andrea O and Luo, Xi and Lv, Jun and Lynch, Julie A and Lyssenko, Valeriya and Maeda, Shiro and Mamakou, Vasiliki and Mansuri, Sohail Rafik and Matsuda, Koichi and Meitinger, Thomas and Metspalu, Andres and Mo, Huan and Morris, Andrew D and Nadler, Jerry L and Nalls, Michael A and Nayak, Uma and Ntalla, Ioanna and Okada, Yukinori and Orozco, Lorena and Patel, Sanjay R and Patil, Snehal and Pei, Pei and Pereira, Mark A and Peters, Annette and Pirie, Fraser J and Polikowsky, Hannah G and Porneala, Bianca and Prasad, Gauri and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Roden, Michael and Rohde, Rebecca and Roll, Katheryn and Sabanayagam, Charumathi and Sandow, Kevin and Sankareswaran, Alagu and Sattar, Naveed and Sch{\"o}nherr, Sebastian and Shahriar, Mohammad and Shen, Botong and Shi, Jinxiu and Shin, Dong Mun and Shojima, Nobuhiro and Smith, Jennifer A and So, Wing Yee and Stan{\v c}{\'a}kov{\'a}, Alena and Steinthorsdottir, Valgerdur and Stilp, Adrienne M and Strauch, Konstantin and Taylor, Kent D and Thorand, Barbara and Thorsteinsdottir, Unnur and Tomlinson, Brian and Tran, Tam C and Tsai, Fuu-Jen and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and Valladares-Salgado, Adan and van Dam, Rob M and van Klinken, Jan B and Varma, Rohit and Wacher-Rodarte, Niels and Wheeler, Eleanor and Wickremasinghe, Ananda R and van Dijk, Ko Willems and Witte, Daniel R and Yajnik, Chittaranjan S and Yamamoto, Ken and Yamamoto, Kenichi and Yoon, Kyungheon and Yu, Canqing and Yuan, Jian-Min and Yusuf, Salim and Zawistowski, Matthew and Zhang, Liang and Zheng, Wei and Project, Biobank Japan and BioBank, Penn Medicine and Center, Regeneron Genetics and Consortium, eMERGE and Raffel, Leslie J and Igase, Michiya and Ipp, Eli and Redline, Susan and Cho, Yoon Shin and Lind, Lars and Province, Michael A and Fornage, Myriam and Hanis, Craig L and Ingelsson, Erik and Zonderman, Alan B and Psaty, Bruce M and Wang, Ya-Xing and Rotimi, Charles N and Becker, Diane M and Matsuda, Fumihiko and Liu, Yongmei and Yokota, Mitsuhiro and Kardia, Sharon L R and Peyser, Patricia A and Pankow, James S and Engert, James C and Bonnefond, Am{\'e}lie and Froguel, Philippe and Wilson, James G and Sheu, Wayne H H and Wu, Jer-Yuarn and Geoffrey Hayes, M and Ma, Ronald C W and Wong, Tien-Yin and Mook-Kanamori, Dennis O and Tuomi, Tiinamaija and Chandak, Giriraj R and Collins, Francis S and Bharadwaj, Dwaipayan and Par{\'e}, Guillaume and Sale, Mich{\`e}le M and Ahsan, Habibul and Motala, Ayesha A and Shu, Xiao-Ou and Park, Kyong-Soo and Jukema, J Wouter and Cruz, Miguel and Chen, Yii-Der Ida and Rich, Stephen S and McKean-Cowdin, Roberta and Grallert, Harald and Cheng, Ching-Yu and Ghanbari, Mohsen and Tai, E-Shyong and Dupuis, Jos{\'e}e and Kato, Norihiro and Laakso, Markku and K{\"o}ttgen, Anna and Koh, Woon-Puay and Bowden, Donald W and Palmer, Colin N A and Kooner, Jaspal S and Kooperberg, Charles and Liu, Simin and North, Kari E and Saleheen, Danish and Hansen, Torben and Pedersen, Oluf and Wareham, Nicholas J and Lee, Juyoung and Kim, Bong-Jo and Millwood, Iona Y and Walters, Robin G and Stefansson, Kari and Goodarzi, Mark O and Mohlke, Karen L and Langenberg, Claudia and Haiman, Christopher A and Loos, Ruth J F and Florez, Jose C and Rader, Daniel J and Ritchie, Marylyn D and Z{\"o}llner, Sebastian and M{\"a}gi, Reedik and Denny, Joshua C and Yamauchi, Toshimasa and Kadowaki, Takashi and Chambers, John C and Ng, Maggie C Y and Sim, Xueling and Below, Jennifer E and Tsao, Philip S and Chang, Kyong-Mi and McCarthy, Mark I and Meigs, James B and Mahajan, Anubha and Spracklen, Cassandra N and Mercader, Josep M and Boehnke, Michael and Rotter, Jerome I and Vujkovic, Marijana and Voight, Benjamin F and Morris, Andrew P and Zeggini, Eleftheria} } @article {9412, title = {Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing.}, journal = {Nat Genet}, volume = {55}, year = {2023}, month = {2023 Feb}, pages = {291-300}, abstract = {

Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS. By exploiting shared phenotypic effects between ancestries and accommodating potential effect heterogeneities, TESLA improves power over other TWAS methods. When applied to tobacco use phenotypes, TESLA identified 273 new genes, up to 55\% more compared with alternative TWAS methods. These hits and subsequent fine mapping using TESLA point to target genes with biological relevance. In silico drug-repurposing analyses highlight several drugs with known efficacy, including dextromethorphan and galantamine, and new drugs such as muscle relaxants that may be repurposed for treating nicotine addiction.

}, keywords = {Biology, Drug Repositioning, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Tobacco Use, Transcriptome}, issn = {1546-1718}, doi = {10.1038/s41588-022-01282-x}, author = {Chen, Fang and Wang, Xingyan and Jang, Seon-Kyeong and Quach, Bryan C and Weissenkampen, J Dylan and Khunsriraksakul, Chachrit and Yang, Lina and Sauteraud, Renan and Albert, Christine M and Allred, Nicholette D D and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Barr, R Graham and Becker, Diane M and Bielak, Lawrence F and Bis, Joshua C and Blangero, John and Boorgula, Meher Preethi and Chasman, Daniel I and Chavan, Sameer and Chen, Yii-der I and Chuang, Lee-Ming and Correa, Adolfo and Curran, Joanne E and David, Sean P and Fuentes, Lisa de Las and Deka, Ranjan and Duggirala, Ravindranath and Faul, Jessica D and Garrett, Melanie E and Gharib, Sina A and Guo, Xiuqing and Hall, Michael E and Hawley, Nicola L and He, Jiang and Hobbs, Brian D and Hokanson, John E and Hsiung, Chao A and Hwang, Shih-Jen and Hyde, Thomas M and Irvin, Marguerite R and Jaffe, Andrew E and Johnson, Eric O and Kaplan, Robert and Kardia, Sharon L R and Kaufman, Joel D and Kelly, Tanika N and Kleinman, Joel E and Kooperberg, Charles and Lee, I-Te and Levy, Daniel and Lutz, Sharon M and Manichaikul, Ani W and Martin, Lisa W and Marx, Olivia and McGarvey, Stephen T and Minster, Ryan L and Moll, Matthew and Moussa, Karine A and Naseri, Take and North, Kari E and Oelsner, Elizabeth C and Peralta, Juan M and Peyser, Patricia A and Psaty, Bruce M and Rafaels, Nicholas and Raffield, Laura M and Reupena, Muagututi{\textquoteright}a Sefuiva and Rich, Stephen S and Rotter, Jerome I and Schwartz, David A and Shadyab, Aladdin H and Sheu, Wayne H-H and Sims, Mario and Smith, Jennifer A and Sun, Xiao and Taylor, Kent D and Telen, Marilyn J and Watson, Harold and Weeks, Daniel E and Weir, David R and Yanek, Lisa R and Young, Kendra A and Young, Kristin L and Zhao, Wei and Hancock, Dana B and Jiang, Bibo and Vrieze, Scott and Liu, Dajiang J} } @article {9451, title = {Plasma Trimethylamine--Oxide and Incident Ischemic Stroke: The Cardiovascular Health Study and the Multi-Ethnic Study of Atherosclerosis.}, journal = {J Am Heart Assoc}, volume = {12}, year = {2023}, month = {2023 Aug 15}, pages = {e8711}, abstract = {

Background The association of circulating trimethylamine--oxide (TMAO) with stroke has received limited attention. To address this gap, we examined the associations of serial measures of plasma TMAO with incident ischemic stroke. Methods and Results We used a prospective cohort design with data pooled from 2 cohorts. The settings were the CHS (Cardiovascular Health Study), a cohort of older adults, and the MESA (Multi-Ethnic Study of Atherosclerosis), both in the United States. We measured plasma concentrations of TMAO at baseline and again during the follow-up using high-performance liquid chromatography and mass spectrometry. We assessed the association of plasma TMAO with incident ischemic stroke using proportional hazards regression adjusted for risk factors. The combined cohorts included 11 785 participants without a history of stroke, on average 73 (CHS) and 62 (MESA) years old at baseline, including 60\% (CHS) and 53\% (MESA) women. We identified 1031 total incident ischemic strokes during a median 15-year follow-up in the combined cohorts. In multivariable analyses, TMAO was significantly associated with incident ischemic stroke risk (hazard ratios comparing a doubling of TMAO: 1.11 [1.03-1.18], =0.004). The association was linear over the range of TMAO concentrations and appeared restricted to those without diagnosed coronary heart disease. An association with hemorrhagic stroke was not found. Conclusions Plasma TMAO levels are associated with incident ischemic stroke in a diverse population. Registration URL: https://www.clinicaltrials.gov. Unique identifier: NCT00005133.

}, keywords = {Aged, Atherosclerosis, Female, Humans, Ischemic Stroke, Methylamines, Oxides, Prospective Studies, Risk Factors, Stroke, United States}, issn = {2047-9980}, doi = {10.1161/JAHA.122.029230}, author = {Lemaitre, Rozenn N and Jensen, Paul N and Wang, Zeneng and Fretts, Amanda M and Sitlani, Colleen M and Nemet, Ina and Sotoodehnia, Nona and de Oliveira Otto, Marcia C and Zhu, Weifei and Budoff, Matt and Longstreth, W T and Psaty, Bruce M and Siscovick, David S and Hazen, Stanley L and Mozaffarian, Dariush} } @article {9239, title = {Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies.}, journal = {Nat Genet}, volume = {55}, year = {2023}, month = {2023 Jan}, pages = {154-164}, abstract = {

Meta-analysis of whole genome sequencing/whole exome sequencing (WGS/WES) studies provides an attractive solution to the problem of collecting large sample sizes for discovering rare variants associated with complex phenotypes. Existing rare variant meta-analysis approaches are not scalable to biobank-scale WGS data. Here we present MetaSTAAR, a powerful and resource-efficient rare variant meta-analysis framework for large-scale WGS/WES studies. MetaSTAAR accounts for relatedness and population structure, can analyze both quantitative and dichotomous traits and boosts the power of rare variant tests by incorporating multiple variant functional annotations. Through meta-analysis of four lipid traits in 30,138 ancestrally diverse samples from 14 studies of the Trans Omics for Precision Medicine (TOPMed) Program, we show that MetaSTAAR performs rare variant meta-analysis at scale and produces results comparable to using pooled data. Additionally, we identified several conditionally significant rare variant associations with lipid traits. We further demonstrate that MetaSTAAR is scalable to biobank-scale cohorts through meta-analysis of TOPMed WGS data and UK Biobank WES data of ~200,000 samples.

}, keywords = {Exome Sequencing, Genome-Wide Association Study, Lipids, Phenotype, Whole Genome Sequencing}, issn = {1546-1718}, doi = {10.1038/s41588-022-01225-6}, author = {Li, Xihao and Quick, Corbin and Zhou, Hufeng and Gaynor, Sheila M and Liu, Yaowu and Chen, Han and Selvaraj, Margaret Sunitha and Sun, Ryan and Dey, Rounak and Arnett, Donna K and Bielak, Lawrence F and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and de Vries, Paul S and Duggirala, Ravindranath and Freedman, Barry I and G{\"o}ring, Harald H H and Guo, Xiuqing and Haessler, Jeffrey and Kalyani, Rita R and Kooperberg, Charles and Kral, Brian G and Lange, Leslie A and Manichaikul, Ani and Martin, Lisa W and McGarvey, Stephen T and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Raffield, Laura M and Redline, Susan and Reiner, Alexander P and Reupena, Muagututi{\textquoteright}a Sefuiva and Rice, Kenneth M and Rich, Stephen S and Sitlani, Colleen M and Smith, Jennifer A and Taylor, Kent D and Vasan, Ramachandran S and Willer, Cristen J and Wilson, James G and Yanek, Lisa R and Zhao, Wei and Rotter, Jerome I and Natarajan, Pradeep and Peloso, Gina M and Li, Zilin and Lin, Xihong} } @article {9539, title = {A proteomic analysis of atrial fibrillation in a prospective longitudinal cohort (AGES-Reykjavik study).}, journal = {Europace}, volume = {25}, year = {2023}, month = {2023 Nov 02}, abstract = {

AIMS: Atrial fibrillation (AF) is associated with high risk of comorbidities and mortality. Our aim was to examine causal and predictive relationships between 4137 serum proteins and incident AF in the prospective population-based Age, Gene/Environment Susceptibility-Reykjavik (AGES-Reykjavik) study.

METHODS AND RESULTS: The study included 4765 participants, of whom 1172 developed AF. Cox proportional hazards regression models were fitted for 4137 baseline protein measurements adjusting for known risk factors. Protein associations were tested for replication in the Cardiovascular Health Study (CHS). Causal relationships were examined in a bidirectional, two-sample Mendelian randomization analysis. The time-dependent area under the receiver operating characteristic curve (AUC)-statistic was examined as protein levels and an AF-polygenic risk score (PRS) were added to clinical risk models. The proteomic signature of incident AF consisted of 76 proteins, of which 63 (83\%) were novel and 29 (38\%) were replicated in CHS. The signature included both N-terminal prohormone of brain natriuretic peptide (NT-proBNP)-dependent (e.g. CHST15, ATP1B1, and SVEP1) and independent components (e.g. ASPN, AKR1B, and LAMA1/LAMB1/LAMC1). Nine causal candidates were identified (TAGLN, WARS, CHST15, CHMP3, COL15A1, DUSP13, MANBA, QSOX2, and SRL). The reverse causal analysis suggested that most AF-associated proteins were affected by the genetic liability to AF. N-terminal prohormone of brain natriuretic peptide improved the prediction of incident AF events close to baseline with further improvements gained by the AF-PRS at all time points.

CONCLUSION: The AF proteomic signature includes biologically relevant proteins, some of which may be causal. It mainly reflects an NT-proBNP-dependent consequence of the genetic liability to AF. N-terminal prohormone of brain natriuretic peptide is a promising marker for incident AF in the short term, but risk assessment incorporating a PRS may improve long-term risk assessment.

}, keywords = {Atrial Fibrillation, Biomarkers, Endosomal Sorting Complexes Required for Transport, Humans, Natriuretic Peptide, Brain, Oxidoreductases Acting on Sulfur Group Donors, Peptide Fragments, Prognosis, Prospective Studies, Proteomics, Risk Factors}, issn = {1532-2092}, doi = {10.1093/europace/euad320}, author = {Jonmundsson, Thorarinn and Steindorsdottir, Anna E and Austin, Thomas R and Frick, Elisabet A and Axelsson, Gisli T and Launer, Lenore and Psaty, Bruce M and Loureiro, Joseph and Orth, Anthony P and Aspelund, Thor and Emilsson, Valur and Floyd, James S and Jennings, Lori and Gudnason, Vilmundur and Gudmundsdottir, Valborg} } @article {9536, title = {Proteomic prediction of incident heart failure and its main subtypes.}, journal = {Eur J Heart Fail}, year = {2023}, month = {2023 Nov 08}, abstract = {

AIM: To examine the ability of serum proteins in predicting future heart failure (HF) events, including HF with reduced or preserved ejection fraction (HFrEF or HFpEF), in relation to event time, and with or without considering established HF-associated clinical variables.

METHODS AND RESULTS: In the prospective population-based Age, Gene/Environment Susceptibility Reykjavik Study (AGES-RS), 440 individuals developed HF after their first visit with a median follow-up of 5.45 years. Among them, 167 were diagnosed with HFrEF and 188 with HFpEF. A least absolute shrinkage and selection operator regression model with nonparametric bootstrap were used to select predictors from an analysis of 4782 serum proteins, and several pre-established clinical parameters linked to HF. A subset of 8-10 distinct or overlapping serum proteins predicted different future HF outcomes, and C-statistics were used to assess discrimination, revealing proteins combined with a C-index of 0.80 for all incident HF, 0.78 and 0.80 for incident HFpEF or HFrEF, respectively. In the AGES-RS, protein panels alone encompassed the risk contained in the clinical information and improved the performance characteristics of prediction models based on NT-proBNP and clinical risk factors. Finally, the protein predictors performed particularly well close to the time of an HF event, an outcome that was replicated in the Cardiovascular Health Study (CHS).

CONCLUSION: A small number of circulating proteins accurately predicted future HF in the AGES-RS cohort of older adults, and they alone encompass the risk information found in a collection of clinical data. Incident HF events were predicted up to eight years, with predictor performance significantly improving for events occurring less than one year ahead, a finding replicated in an external cohort study. This article is protected by copyright. All rights reserved.

}, issn = {1879-0844}, doi = {10.1002/ejhf.3086}, author = {Emilsson, Valur and Jonsson, Brynjolfur G and Austin, Thomas R and Gudmundsdottir, Valborg and Axelsson, Gisli T and Frick, Elisabet A and Jonmundsson, Thorarinn and Steindorsdottir, Anna E and Loureiro, Joseph and Brody, Jennifer A and Aspelund, Thor and Launer, Lenore J and Thorgeirsson, Gudmundur and Kortekaas, Kirsten A and Lindeman, Jan H and Orth, Anthony P and Lamb, John R and Psaty, Bruce M and Kizer, Jorge R and Jennings, Lori L and Gudnason, Vilmundur} } @article {9418, title = {Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study.}, journal = {medRxiv}, year = {2023}, month = {2023 Jun 29}, abstract = {

Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions. Large-scale whole genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess the associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with blood lipid levels (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare variant aggregate association tests using the STAAR (variant-Set Test for Association using Annotation infoRmation) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare coding variants in nearby protein coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a {\textpm}500 kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73\%) were conditionally independent of common regulatory variations and rare protein coding variations at the same loci. We replicated 34 out of 61 (56\%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNA, implicating new therapeutic opportunities.

}, doi = {10.1101/2023.06.28.23291966}, author = {Wang, Yuxuan and Selvaraj, Margaret Sunitha and Li, Xihao and Li, Zilin and Holdcraft, Jacob A and Arnett, Donna K and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Cade, Brian E and Carlson, Jenna C and Carson, April P and Chen, Yii-Der Ida and Curran, Joanne E and de Vries, Paul S and Dutcher, Susan K and Ellinor, Patrick T and Floyd, James S and Fornage, Myriam and Freedman, Barry I and Gabriel, Stacey and Germer, Soren and Gibbs, Richard A and Guo, Xiuqing and He, Jiang and Heard-Costa, Nancy and Hildalgo, Bertha and Hou, Lifang and Irvin, Marguerite R and Joehanes, Roby and Kaplan, Robert C and Kardia, Sharon Lr and Kelly, Tanika N and Kim, Ryan and Kooperberg, Charles and Kral, Brian G and Levy, Daniel and Li, Changwei and Liu, Chunyu and Lloyd-Jone, Don and Loos, Ruth Jf and Mahaney, Michael C and Martin, Lisa W and Mathias, Rasika A and Minster, Ryan L and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Murabito, Joanne M and Naseri, Take and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Preuss, Michael H and Psaty, Bruce M and Raffield, Laura M and Rao, Dabeeru C and Redline, Susan and Reiner, Alexander P and Rich, Stephen S and Ruepena, Muagututi{\textquoteright}a Sefuiva and Sheu, Wayne H-H and Smith, Jennifer A and Smith, Albert and Tiwari, Hemant K and Tsai, Michael Y and Viaud-Martinez, Karine A and Wang, Zhe and Yanek, Lisa R and Zhao, Wei and Rotter, Jerome I and Lin, Xihong and Natarajan, Pradeep and Peloso, Gina M} } @article {9415, title = {{Serum NfL and GFAP are associated with incident dementia and dementia mortality in older adults: The cardiovascular health study}, journal = {Alzheimers Dement}, year = {2023}, month = {Jul}, abstract = {Circulating neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) have been independently associated with dementia risk. Their additive association, and their associations with dementia-specific mortality, have not been investigated.\ We associated serum NfL, GFAP, total tau ,and ubiquitin carboxyl-terminal hydrolase-L1, measured in 1712 dementia-free adults, with 19-year incident dementia and dementia-specific mortality risk, and with 3-year cognitive decline.\ 2.06 (1.60-2.67) and 9.22 (4.48-18.9). NfL was independently associated with accelerated cognitive decline.\ Circulating NfL and GFAP may, independently and jointly, provide useful clinical insight regarding dementia risk and prognosis.}, author = {{\'e}, H. T. and Liu, X. and Odden, M. C. and Moseholm, K. F. and Seshadri, S. and Satizabal, C. L. and Lopez, O. L. and Bis, J. C. and {\'e}, L. and Fohner, A. E. and Psaty, B. M. and Tracy, R. P. and Longstreth, W. T. and Jensen, M. K. and Mukamal, K. J.} } @article {9416, title = {Traditional and novel risk factors for incident aortic stenosis in community-dwelling older adults.}, journal = {Heart}, year = {2023}, month = {2023 Jul 18}, abstract = {

OBJECTIVES: Calcific aortic stenosis (AS) is the most common valvular disease in older adults, yet its risk factors remain insufficiently studied in this population. Such studies are necessary to enhance understanding of mechanisms, disease management and therapeutics.

METHODS: The Cardiovascular Health Study is a population-based investigation of older adults that completed adjudication of incident AS over long-term follow-up. We evaluated traditional cardiovascular risk factors or disease, as well as novel risk factors from lipid, inflammatory and mineral metabolism pathways, in relation to incident moderate or severe AS (including AS procedures) and clinically significant AS (severe AS, including procedures).

RESULTS: Of 5390 participants (age 72.9{\textpm}5.6 years, 57.6\% female, 12.5\% black), 287 developed moderate or severe AS, and 175 clinically significant AS, during median follow-up of 13.1 years. After full adjustment, age (HR=1.66 per SD (95\% CI=1.45, 1.91)), male sex (HR=1.41 (1.06, 1.87)), diabetes (HR=1.53 (1.10, 2.13)), coronary heart disease (CHD, HR=1.36 (1.01, 1.84)), lipoprotein-associated phospholipase-A (LpPLA) activity (HR=1.21 per SD (1.07, 1.37)) and sCD14 (HR=1.16 per SD (1.01, 1.34)) were associated with incident moderate/severe AS, while black race demonstrated an inverse association (HR=0.40 (0.24, 0.65)), and creatinine-based estimated glomerular filtration rate (eGFR) showed a U-shaped relationship. Findings were similar for clinically significant AS, although CHD and sCD14 fell short of significance, but interleukin-(IL) 6 showed a positive association.

CONCLUSION: This comprehensive evaluation of risk factors for long-term incidence of AS identified associations for diabetes and prevalent CHD, LpPLA activity, sCD14 and IL-6, and eGFR. These factors may hold clues to biology, preventive efforts and potential therapeutics for those at highest risk.

}, issn = {1468-201X}, doi = {10.1136/heartjnl-2023-322709}, author = {Massera, Daniele and Bartz, Traci M and Biggs, Mary L and Sotoodehnia, Nona and Reiner, Alexander P and Semba, Richard D and Gottdiener, John S and Psaty, Bruce M and Owens, David S and Kizer, Jorge R} } @article {9408, title = {Validation of the CogDrisk Instrument as Predictive of Dementia in Four General Community-Dwelling Populations.}, journal = {J Prev Alzheimers Dis}, volume = {10}, year = {2023}, month = {2023}, pages = {478-487}, abstract = {

BACKGROUND: Lack of external validation of dementia risk tools is a major limitation for generalizability and translatability of prediction scores in clinical practice and research.

OBJECTIVES: We aimed to validate a new dementia prediction risk tool called CogDrisk and a version, CogDrisk-AD for predicting Alzheimer{\textquoteright}s disease (AD) using cohort studies.

DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS: Four cohort studies were identified that included majority of the dementia risk factors from the CogDrisk tool. Participants who were free of dementia at baseline were included. The predictors were component variables in the CogDrisk tool that include self-reported demographics, medical risk factors and lifestyle habits. Risk scores for Any Dementia and AD were computed and Area Under the Curve (AUC) was assessed. To examine modifiable risk factors for dementia, the CogDrisk tool was tested by excluding age and sex estimates from the model.

RESULTS: The performance of the tool varied between studies. The overall AUC and 95\% CI for predicting dementia was 0.77 (0.57, 0.97) for the Swedish National study on Aging and Care in Kungsholmen, 0.76 (0.70, 0.83) for the Health and Retirement Study - Aging, Demographics and Memory Study, 0.70 (0.67,0.72) for the Cardiovascular Health Study Cognition Study, and 0.66 (0.62,0.70) for the Rush Memory and Aging Project.

CONCLUSIONS: The CogDrisk and CogDrisk-AD performed well in the four studies. Overall, this tool can be used to assess individualized risk factors of dementia and AD in various population settings.

}, keywords = {Aging, Alzheimer Disease, Cohort Studies, Dementia, Humans, Independent Living}, issn = {2426-0266}, doi = {10.14283/jpad.2023.38}, author = {Kootar, S and Huque, M H and Eramudugolla, R and Rizzuto, D and Carlson, M C and Odden, M C and Lopez, O L and Qiu, C and Fratiglioni, L and Han, S D and Bennett, D A and Peters, R and Anstey, K J} } @article {9449, title = {Whole genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles.}, journal = {medRxiv}, year = {2023}, month = {2023 Jun 12}, abstract = {

UNLABELLED: Genetic studies have identified numerous regions associated with plasma fibrinogen levels in Europeans, yet missing heritability and limited inclusion of non-Europeans necessitates further studies with improved power and sensitivity. Compared with array-based genotyping, whole genome sequencing (WGS) data provides better coverage of the genome and better representation of non-European variants. To better understand the genetic landscape regulating plasma fibrinogen levels, we meta-analyzed WGS data from the NHLBI{\textquoteright}s Trans-Omics for Precision Medicine (TOPMed) program (n=32,572), with array-based genotype data from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium (n=131,340) imputed to the TOPMed or Haplotype Reference Consortium panel. We identified 18 loci that have not been identified in prior genetic studies of fibrinogen. Of these, four are driven by common variants of small effect with reported MAF at least 10\% higher in African populations. Three ( , and signals contain predicted deleterious missense variants. Two loci, and , each harbor two conditionally distinct, non-coding variants. The gene region encoding the protein chain subunits ( ), contains 7 distinct signals, including one novel signal driven by rs28577061, a variant common (MAF=0.180) in African reference panels but extremely rare (MAF=0.008) in Europeans. Through phenome-wide association studies in the VA Million Veteran Program, we found associations between fibrinogen polygenic risk scores and thrombotic and inflammatory disease phenotypes, including an association with gout. Our findings demonstrate the utility of WGS to augment genetic discovery in diverse populations and offer new insights for putative mechanisms of fibrinogen regulation.

KEY POINTS: Largest and most diverse genetic study of plasma fibrinogen identifies 54 regions (18 novel), housing 69 conditionally distinct variants (20 novel).Sufficient power achieved to identify signal driven by African population variant.Links to (1) liver enzyme, blood cell and lipid genetic signals, (2) liver regulatory elements, and (3) thrombotic and inflammatory disease.

}, doi = {10.1101/2023.06.07.23291095}, author = {Huffman, Jennifer E and Nicolas, Jayna and Hahn, Julie and Heath, Adam S and Raffield, Laura M and Yanek, Lisa R and Brody, Jennifer A and Thibord, Florian and Almasy, Laura and Bartz, Traci M and Bielak, Lawrence F and Bowler, Russell P and Carrasquilla, Germ{\'a}n D and Chasman, Daniel I and Chen, Ming-Huei and Emmert, David B and Ghanbari, Mohsen and Haessle, Jeffery and Hottenga, Jouke-Jan and Kleber, Marcus E and Le, Ngoc-Quynh and Lee, Jiwon and Lewis, Joshua P and Li-Gao, Ruifang and Luan, Jian{\textquoteright}an and Malmberg, Anni and Mangino, Massimo and Marioni, Riccardo E and Martinez-Perez, Angel and Pankratz, Nathan and Polasek, Ozren and Richmond, Anne and Rodriguez, Benjamin At and Rotter, Jerome I and Steri, Maristella and Suchon, Pierre and Trompet, Stella and Weiss, Stefan and Zare, Marjan and Auer, Paul and Cho, Michael H and Christofidou, Paraskevi and Davies, Gail and de Geus, Eco and Deleuze, Jean-Francois and Delgado, Graciela E and Ekunwe, Lynette and Faraday, Nauder and G{\"o}gele, Martin and Greinacher, Andreas and He, Gao and Howard, Tom and Joshi, Peter K and Kilpel{\"a}inen, Tuomas O and Lahti, Jari and Linneberg, Allan and Naitza, Silvia and Noordam, Raymond and Pa{\"u}ls-Verg{\'e}s, Ferran and Rich, Stephen S and Rosendaal, Frits R and Rudan, Igor and Ryan, Kathleen A and Souto, Juan Carlos and van Rooij, Frank Ja and Wang, Heming and Zhao, Wei and Becker, Lewis C and Beswick, Andrew and Brown, Michael R and Cade, Brian E and Campbell, Harry and Cho, Kelly and Crapo, James D and Curran, Joanne E and de Maat, Moniek Pm and Doyle, Margaret and Elliott, Paul and Floyd, James S and Fuchsberger, Christian and Grarup, Niels and Guo, Xiuqing and Harris, Sarah E and Hou, Lifang and Kolcic, Ivana and Kooperberg, Charles and Menni, Cristina and Nauck, Matthias and O{\textquoteright}Connell, Jeffrey R and Orr{\`u}, Valeria and Psaty, Bruce M and R{\"a}ikk{\"o}nen, Katri and Smith, Jennifer A and Soria, Jos{\'e} Manuel and Stott, David J and van Hylckama Vlieg, Astrid and Watkins, Hugh and Willemsen, Gonneke and Wilson, Peter and Ben-Shlomo, Yoav and Blangero, John and Boomsma, Dorret and Cox, Simon R and Dehghan, Abbas and Eriksson, Johan G and Fiorillo, Edoardo and Fornage, Myriam and Hansen, Torben and Hayward, Caroline and Ikram, M Arfan and Jukema, J Wouter and Kardia, Sharon Lr and Lange, Leslie A and M{\"a}rz, Winfried and Mathias, Rasika A and Mitchell, Braxton D and Mook-Kanamori, Dennis O and Morange, Pierre-Emmanuel and Pedersen, Oluf and Pramstaller, Peter P and Redline, Susan and Reiner, Alexander and Ridker, Paul M and Silverman, Edwin K and Spector, Tim D and V{\"o}lker, Uwe and Wareham, Nick and Wilson, James F and Yao, Jie and Tr{\'e}gou{\"e}t, David-Alexandre and Johnson, Andrew D and Wolberg, Alisa S and de Vries, Paul S and Sabater-Lleal, Maria and Morrison, Alanna C and Smith, Nicholas L} } @article {9581, title = {Whole genome sequence analysis of apparent treatment resistant hypertension status in participants from the Trans-Omics for Precision Medicine program.}, journal = {Front Genet}, volume = {14}, year = {2023}, month = {2023}, pages = {1278215}, abstract = {

Apparent treatment-resistant hypertension (aTRH) is characterized by the use of four or more antihypertensive (AHT) classes to achieve blood pressure (BP) control. In the current study, we conducted single-variant and gene-based analyses of aTRH among individuals from 12 Trans-Omics for Precision Medicine cohorts with whole-genome sequencing data. Cases were defined as individuals treated for hypertension (HTN) taking three different AHT classes, with average systolic BP >= 140 or diastolic BP >= 90~mmHg, or four or more medications regardless of BP ( = 1,705). A normotensive control group was defined as individuals with BP < 140/90~mmHg ( = 22,079), not on AHT medication. A second control group comprised individuals who were treatment responsive on one AHT medication with BP < 140/ 90~mmHg ( = 5,424). Logistic regression with kinship adjustment using the Scalable and Accurate Implementation of Generalized mixed models (SAIGE) was performed, adjusting for age, sex, and genetic ancestry. We assessed variants using SKAT-O in rare-variant analyses. Single-variant and gene-based tests were conducted in a pooled multi-ethnicity stratum, as well as self-reported ethnic/racial strata (European and African American). One variant in the known HTN locus, , was a top finding in the multi-ethnic analysis ( = 8.23E-07) for the normotensive control group [rs12476527, odds ratio (95\% confidence interval) = 0.80 (0.74-0.88)]. This variant was replicated in the Vanderbilt University Medical Center{\textquoteright}s DNA repository data. Aggregate gene-based signals included the genes and . Additional work validating these loci in larger, more diverse populations, is warranted to determine whether these regions influence the pathobiology of aTRH.

}, issn = {1664-8021}, doi = {10.3389/fgene.2023.1278215}, author = {Armstrong, Nicole D and Srinivasasainagendra, Vinodh and Ammous, Farah and Assimes, Themistocles L and Beitelshees, Amber L and Brody, Jennifer and Cade, Brian E and Ida Chen, Yii-Der and Chen, Han and de Vries, Paul S and Floyd, James S and Franceschini, Nora and Guo, Xiuqing and Hellwege, Jacklyn N and House, John S and Hwu, Chii-Min and Kardia, Sharon L R and Lange, Ethan M and Lange, Leslie A and McDonough, Caitrin W and Montasser, May E and O{\textquoteright}Connell, Jeffrey R and Shuey, Megan M and Sun, Xiao and Tanner, Rikki M and Wang, Zhe and Zhao, Wei and Carson, April P and Edwards, Todd L and Kelly, Tanika N and Kenny, Eimear E and Kooperberg, Charles and Loos, Ruth J F and Morrison, Alanna C and Motsinger-Reif, Alison and Psaty, Bruce M and Rao, Dabeeru C and Redline, Susan and Rich, Stephen S and Rotter, Jerome I and Smith, Jennifer A and Smith, Albert V and Irvin, Marguerite R and Arnett, Donna K} } @article {9484, title = {WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE.}, journal = {medRxiv}, year = {2023}, month = {2023 Aug 22}, abstract = {

Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51\% were of non-European population groups. We discovered 18 BMI-associated signals ( < 5 {\texttimes} 10 ). Notably, we identified and replicated a novel low frequency single nucleotide polymorphism (SNP) in that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the and loci. Our work demonstrates the benefits of combining WGS and diverse cohorts in expanding current catalog of variants and genes confer risk for obesity, bringing us one step closer to personalized medicine.

}, doi = {10.1101/2023.08.21.23293271}, author = {Zhang, Xinruo and Brody, Jennifer A and Graff, Mariaelisa and Highland, Heather M and Chami, Nathalie and Xu, Hanfei and Wang, Zhe and Ferrier, Kendra and Chittoor, Geetha and Josyula, Navya S and Li, Xihao and Li, Zilin and Allison, Matthew A and Becker, Diane M and Bielak, Lawrence F and Bis, Joshua C and Boorgula, Meher Preethi and Bowden, Donald W and Broome, Jai G and Buth, Erin J and Carlson, Christopher S and Chang, Kyong-Mi and Chavan, Sameer and Chiu, Yen-Feng and Chuang, Lee-Ming and Conomos, Matthew P and DeMeo, Dawn L and Du, Margaret and Duggirala, Ravindranath and Eng, Celeste and Fohner, Alison E and Freedman, Barry I and Garrett, Melanie E and Guo, Xiuqing and Haiman, Chris and Heavner, Benjamin D and Hidalgo, Bertha and Hixson, James E and Ho, Yuk-Lam and Hobbs, Brian D and Hu, Donglei and Hui, Qin and Hwu, Chii-Min and Jackson, Rebecca D and Jain, Deepti and Kalyani, Rita R and Kardia, Sharon L R and Kelly, Tanika N and Lange, Ethan M and LeNoir, Michael and Li, Changwei and Marchand, Loic Le and McDonald, Merry-Lynn N and McHugh, Caitlin P and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey and O{\textquoteright}Donnell, Christopher J and Palmer, Nicholette D and Pankow, James S and Perry, James A and Peters, Ulrike and Preuss, Michael H and Rao, D C and Regan, Elizabeth A and Reupena, Sefuiva M and Roden, Dan M and Rodriguez-Santana, Jose and Sitlani, Colleen M and Smith, Jennifer A and Tiwari, Hemant K and Vasan, Ramachandran S and Wang, Zeyuan and Weeks, Daniel E and Wessel, Jennifer and Wiggins, Kerri L and Wilkens, Lynne R and Wilson, Peter W F and Yanek, Lisa R and Yoneda, Zachary T and Zhao, Wei and Z{\"o}llner, Sebastian and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Blangero, John and Boerwinkle, Eric and Burchard, Esteban G and Carson, April P and Chasman, Daniel I and Chen, Yii-Der Ida and Curran, Joanne E and Fornage, Myriam and Gordeuk, Victor R and He, Jiang and Heckbert, Susan R and Hou, Lifang and Irvin, Marguerite R and Kooperberg, Charles and Minster, Ryan L and Mitchell, Braxton D and Nouraie, Mehdi and Psaty, Bruce M and Raffield, Laura M and Reiner, Alexander P and Rich, Stephen S and Rotter, Jerome I and Shoemaker, M Benjamin and Smith, Nicholas L and Taylor, Kent D and Telen, Marilyn J and Weiss, Scott T and Zhang, Yingze and Costa, Nancy Heard- and Sun, Yan V and Lin, Xihong and Cupples, L Adrienne and Lange, Leslie A and Liu, Ching-Ti and Loos, Ruth J F and North, Kari E and Justice, Anne E} } @article {9620, title = {Familial Hypercholesterolemia Variant and Cardiovascular Risk in Individuals With Elevated Cholesterol.}, journal = {JAMA Cardiol}, year = {2024}, month = {2024 Jan 31}, abstract = {

IMPORTANCE: Familial hypercholesterolemia (FH) is a genetic disorder that often results in severely high low-density lipoprotein cholesterol (LDL-C) and high risk of premature coronary heart disease (CHD). However, the impact of FH variants on CHD risk among individuals with moderately elevated LDL-C is not well quantified.

OBJECTIVE: To assess CHD risk associated with FH variants among individuals with moderately (130-189 mg/dL) and severely (>=190 mg/dL) elevated LDL-C and to quantify excess CHD deaths attributable to FH variants in US adults.

DESIGN, SETTING, AND PARTICIPANTS: A total of 21 426 individuals without preexisting CHD from 6 US cohort studies (Atherosclerosis Risk in Communities study, Coronary Artery Risk Development in Young Adults study, Cardiovascular Health Study, Framingham Heart Study Offspring cohort, Jackson Heart Study, and Multi-Ethnic Study of Atherosclerosis) were included, 63 of whom had an FH variant. Data were collected from 1971 to 2018, and the median (IQR) follow-up was 18 (13-28) years. Data were analyzed from March to May 2023.

EXPOSURES: LDL-C, cumulative past LDL-C, FH variant status.

MAIN OUTCOMES AND MEASURES: Cox proportional hazards models estimated associations between FH variants and incident CHD. The Cardiovascular Disease Policy Model projected excess CHD deaths associated with FH variants in US adults.

RESULTS: Of the 21 426 individuals without preexisting CHD (mean [SD] age 52.1 [15.5] years; 12 041 [56.2\%] female), an FH variant was found in 22 individuals with moderately elevated LDL-C (0.3\%) and in 33 individuals with severely elevated LDL-C (2.5\%). The adjusted hazard ratios for incident CHD comparing those with and without FH variants were 2.9 (95\% CI, 1.4-6.0) and 2.6 (95\% CI, 1.4-4.9) among individuals with moderately and severely elevated LDL-C, respectively. The association between FH variants and CHD was slightly attenuated when further adjusting for baseline LDL-C level, whereas the association was no longer statistically significant after adjusting for cumulative past LDL-C exposure. Among US adults 20 years and older with no history of CHD and LDL-C 130 mg/dL or higher, more than 417 000 carry an FH variant and were projected to experience more than 12 000 excess CHD deaths in those with moderately elevated LDL-C and 15 000 in those with severely elevated LDL-C compared with individuals without an FH variant.

CONCLUSIONS AND RELEVANCE: In this pooled cohort study, the presence of FH variants was associated with a 2-fold higher CHD risk, even when LDL-C was only moderately elevated. The increased CHD risk appeared to be largely explained by the higher cumulative LDL-C exposure in individuals with an FH variant compared to those without. Further research is needed to assess the value of adding genetic testing to traditional phenotypic FH screening.

}, issn = {2380-6591}, doi = {10.1001/jamacardio.2023.5366}, author = {Zhang, Yiyi and Dron, Jacqueline S and Bellows, Brandon K and Khera, Amit V and Liu, Junxiu and Balte, Pallavi P and Oelsner, Elizabeth C and Amr, Sami Samir and Lebo, Matthew S and Nagy, Anna and Peloso, Gina M and Natarajan, Pradeep and Rotter, Jerome I and Willer, Cristen and Boerwinkle, Eric and Ballantyne, Christie M and Lutsey, Pamela L and Fornage, Myriam and Lloyd-Jones, Donald M and Hou, Lifang and Psaty, Bruce M and Bis, Joshua C and Floyd, James S and Vasan, Ramachandran S and Heard-Costa, Nancy L and Carson, April P and Hall, Michael E and Rich, Stephen S and Guo, Xiuqing and Kazi, Dhruv S and de Ferranti, Sarah D and Moran, Andrew E} } @article {9644, title = {{A genetic association study of circulating coagulation Factor VIII and von Willebrand Factor levels}, journal = {Blood}, year = {2024}, month = {Feb}, abstract = {10-9) at seven new loci for FVIII (ST3GAL4, CLEC4M, B3GNT2, ASGR1, F12, KNG1, and TREM1/NCR2) and one for VWF (B3GNT2). VWF, ABO, and STAB2 were associated with FVIII and VWF in gene-based analyses. Multi-phenotype analysis of FVIII and VWF identified another three new loci, including PDIA3. Silencing of B3GNT2 and the previously reported CD36 gene decreased release of FVIII by HLECs, while silencing of B3GNT2, CD36, and PDIA3 decreased release of VWF by HVECs. Mendelian randomization supports causal association of higher FVIII and VWF with increased risk of thrombotic outcomes. Seven new loci were identified for FVIII and one for VWF, with evidence supporting causal associations of FVIII and VWF with thrombotic outcomes. B3GNT2, CD36, and PDIA3 modulate the release of FVIII and/or VWF in vitro.}, author = {de Vries, P. S. and Reventun, P. and Brown, M. R. and Heath, A. S. and Huffman, J. E. and Le, N. Q. and Bebo, A. and Brody, J. A. and Temprano-Sagrera, G. and Raffield, L. M. and Ozel, A. B. and Thibord, F. and Jain, D. and Lewis, J. P. and Rodriguez, B. A. T. and Pankratz, N. and Taylor, K. D. and Polasek, O. and Chen, M. H. and Yanek, L. R. and Carrasquilla, G. D. and Marioni, R. and Kleber, M. E. and t, D. A. and Yao, J. and Li-Gao, R. and Joshi, P. K. and Trompet, S. and Martinez-Perez, A. and Ghanbari, M. and Howard, T. E. and Reiner, A. P. and Arvanitis, M. and Ryan, K. A. and Bartz, T. M. and Rudan, I. and Faraday, N. and Linneberg, A. and Ekunwe, L. and Davies, G. and Delgado, G. E. and Suchon, P. and Guo, X. and Rosendaal, F. R. and Klaric, L. and Noordam, R. and van Rooij, F. and Curran, J. E. and Wheeler, M. M. and Osburn, W. O. and O{\textquoteright}Connell, J. R. and Boerwinkle, E. and Beswick, A. and Psaty, B. M. and Kolcic, I. and Souto, J. C. and Becker, L. C. and Hansen, T. and Doyle, M. F. and Harris, S. E. and Moissl, A. P. and Deleuze, J. F. and Rich, S. S. and van Hylckama Vlieg, A. and Campbell, H. and Stott, D. J. and Soria, J. M. and de Maat, M. P. M. and Almasy, L. and Brody, L. C. and Auer, P. L. and Mitchell, B. D. and Ben-Shlomo, Y. and Fornage, M. and Hayward, C. and Mathias, R. A. and inen, T. O. and Lange, L. A. and Cox, S. R. and rz, W. and Morange, P. E. and Rotter, J. I. and Mook-Kanamori, D. O. and Wilson, J. F. and van der Harst, P. and Jukema, J. W. and Ikram, M. A. and Blangero, J. and Kooperberg, C. and Desch, K. C. and Johnson, A. D. and Sabater-Lleal, M. and Lowenstein, C. J. and Smith, N. L. and Morrison, A. C.} } @article {9639, title = {{Genetic associations with dementia-related proteinopathy: Application of item response theory}, journal = {Alzheimers Dement}, year = {2024}, month = {Mar}, abstract = {Although dementia-related proteinopathy has a strong negative impact on public health, and is highly heritable, understanding of the related genetic architecture is incomplete.\ -synuclein, and TDP-43.\ -synuclein/Lewy bodies. Novel suggestive proteinopathy-linked alleles were also discovered, including several (SDHAF1, TMEM68, and ARHGEF28) with colocalization analyses and/or high degrees of biologic credibility.\ A novel methodology using GPCM enabled insights into gene candidates for driving misfolded proteinopathies.\ Latent factor scores for proteinopathies were estimated using a generalized partial credit model. The three latent continuous scores corresponded well with proteinopathy severity. Novel genes associated with proteinopathies were identified. Several genes had high degrees of biologic credibility for dementia risk factors.}, author = {Katsumata, Y. and Fardo, D. W. and Shade, L. M. P. and Wu, X. and Karanth, S. D. and Hohman, T. J. and Schneider, J. A. and Bennett, D. A. and Farfel, J. M. and Gauthreaux, K. and Mock, C. and Kukull, W. A. and Abner, E. L. and Nelson, P. T. and Carrillo, M. and Reiman, E. M. and Chen, K. and Masterman, D. and Green, R. C. and Ho, C. and Fleisher, A. and Saykin, A. J. and Nho, K. and Apostolova, L. G. and Risacher, S. L. and Jackson, J. and Forghanian-Arani, A. and Borowski, B. and Ward, C. and Schwarz, C. and Jack, C. R. and Jones, D. and Gunter, J. and Kantarci, K. and Senjem, M. and Vemuri, P. and Reid, R. and Petersen, R. and Hsiao, J. K. and Potter, W. and Masliah, E. and Hsiao, J. K. and Ryan, L. and Bernard, M. and Silverberg, N. and Kormos, A. and Conti, C. and Veitch, D. and Flenniken, D. and Sacrey, D. T. and Choe, M. and Ashford, M. and Chen, S. R. and Faber, K. and Nudelman, K. and Wilme, K. and Foroud, T. M. and Trojanowki, J. Q. and Shaw, L. M. and Korecka, M. and Figurski, M. and Khachaturian, Z. and Barnes, L. and Malone, I. and Fox, N. C. and Beckett, L. and Weiner, M. W. and Jagust, W. and Landau, S. and Jagust, W. and Knaack, A. and DeCarli, C. and Harvey, D. and Fletcher, E. and Beckett, L. and lez, H. and Jin, C. and Tosun-Turgut, D. and Neuhaus, J. and Fockler, J. and Nosheny, R. and Koeppe, R. A. and Trojanowki, J. Q. and Shaw, L. M. and Yushkevich, P. A. and Das, S. and Mathis, C. and Toga, A. W. and Zimmerman, C. and Gessert, D. and Shcrer, E. and Miller, G. and Coker, G. and Jimenez, G. and Salazar, J. and Pizzola, J. and Crawford, K. and Hergesheimer, L. and Donohue, M. and Rafii, M. and Adegoke, O. and Aisen, P. and Mahboubi, P. and Raman, R. and Walter, S. and Neu, S. and Moore, S. and Smith, S. and Clanton, T. and Cabrera, Y. and Donohue, M. and Jahanshad, N. and Thompson, P. and Thomopoulos, S. I. and Nir, T. M. and Crawford, K. and Montine, T. and Okonkwo, O. and Shen, L. and Perrin, R. and Franklin, E. and Householder, E. and Bernhardt, H. and Morris, J. C. and Taylor-Reinwald, L. and Cairns, N. J. and Perrin, R. J. and Biber, S. and Welsch, J. and Rosentreter, H. and Fair, B. and Young, A. and Hale, B. and Hockens, V. and Buckley, F. and Ida, A. and Xia, J. and Almeda, E. and Stephens, K. A. and Shibata, D. K. and Chan, K. C. G. and Longstreth, W. and Che, Y. C. and Culhane, J. and Miller, Z. and Yasuda, S. and Mooney, S. and Hubbard, J. and Keller, B. and Stark, Z. and Wu, J. and Mcleod, L. and Hewanadungodage, C. and Smith, B.} } @article {9619, title = {Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.}, journal = {Nature}, year = {2024}, month = {2024 Feb 19}, abstract = {

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7\% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 {\texttimes} 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

}, issn = {1476-4687}, doi = {10.1038/s41586-024-07019-6}, author = {Suzuki, Ken and Hatzikotoulas, Konstantinos and Southam, Lorraine and Taylor, Henry J and Yin, Xianyong and Lorenz, Kim M and Mandla, Ravi and Huerta-Chagoya, Alicia and Melloni, Giorgio E M and Kanoni, Stavroula and Rayner, Nigel W and Bocher, Ozvan and Arruda, Ana Luiza and Sonehara, Kyuto and Namba, Shinichi and Lee, Simon S K and Preuss, Michael H and Petty, Lauren E and Schroeder, Philip and Vanderwerff, Brett and Kals, Mart and Bragg, Fiona and Lin, Kuang and Guo, Xiuqing and Zhang, Weihua and Yao, Jie and Kim, Young Jin and Graff, Mariaelisa and Takeuchi, Fumihiko and Nano, Jana and Lamri, Amel and Nakatochi, Masahiro and Moon, Sanghoon and Scott, Robert A and Cook, James P and Lee, Jung-Jin and Pan, Ian and Taliun, Daniel and Parra, Esteban J and Chai, Jin-Fang and Bielak, Lawrence F and Tabara, Yasuharu and Hai, Yang and Thorleifsson, Gudmar and Grarup, Niels and Sofer, Tamar and Wuttke, Matthias and Sarnowski, Chloe and Gieger, Christian and Nousome, Darryl and Trompet, Stella and Kwak, Soo-Heon and Long, Jirong and Sun, Meng and Tong, Lin and Chen, Wei-Min and Nongmaithem, Suraj S and Noordam, Raymond and Lim, Victor J Y and Tam, Claudia H T and Joo, Yoonjung Yoonie and Chen, Chien-Hsiun and Raffield, Laura M and Prins, Bram Peter and Nicolas, Aude and Yanek, Lisa R and Chen, Guanjie and Brody, Jennifer A and Kabagambe, Edmond and An, Ping and Xiang, Anny H and Choi, Hyeok Sun and Cade, Brian E and Tan, Jingyi and Broadaway, K Alaine and Williamson, Alice and Kamali, Zoha and Cui, Jinrui and Thangam, Manonanthini and Adair, Linda S and Adeyemo, Adebowale and Aguilar-Salinas, Carlos A and Ahluwalia, Tarunveer S and Anand, Sonia S and Bertoni, Alain and Bork-Jensen, Jette and Brandslund, Ivan and Buchanan, Thomas A and Burant, Charles F and Butterworth, Adam S and Canouil, Micka{\"e}l and Chan, Juliana C N and Chang, Li-Ching and Chee, Miao-Li and Chen, Ji and Chen, Shyh-Huei and Chen, Yuan-Tsong and Chen, Zhengming and Chuang, Lee-Ming and Cushman, Mary and Danesh, John and Das, Swapan K and de Silva, H Janaka and Dedoussis, George and Dimitrov, Latchezar and Doumatey, Ayo P and Du, Shufa and Duan, Qing and Eckardt, Kai-Uwe and Emery, Leslie S and Evans, Daniel S and Evans, Michele K and Fischer, Krista and Floyd, James S and Ford, Ian and Franco, Oscar H and Frayling, Timothy M and Freedman, Barry I and Genter, Pauline and Gerstein, Hertzel C and Giedraitis, Vilmantas and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez-Villalpando, Maria Elena and Gordon-Larsen, Penny and Gross, Myron and Guare, Lindsay A and Hackinger, Sophie and Hakaste, Liisa and Han, Sohee and Hattersley, Andrew T and Herder, Christian and Horikoshi, Momoko and Howard, Annie-Green and Hsueh, Willa and Huang, Mengna and Huang, Wei and Hung, Yi-Jen and Hwang, Mi Yeong and Hwu, Chii-Min and Ichihara, Sahoko and Ikram, Mohammad Arfan and Ingelsson, Martin and Islam, Md Tariqul and Isono, Masato and Jang, Hye-Mi and Jasmine, Farzana and Jiang, Guozhi and Jonas, Jost B and J{\o}rgensen, Torben and Kamanu, Frederick K and Kandeel, Fouad R and Kasturiratne, Anuradhani and Katsuya, Tomohiro and Kaur, Varinderpal and Kawaguchi, Takahisa and Keaton, Jacob M and Kho, Abel N and Khor, Chiea-Chuen and Kibriya, Muhammad G and Kim, Duk-Hwan and Kronenberg, Florian and Kuusisto, Johanna and L{\"a}ll, Kristi and Lange, Leslie A and Lee, Kyung Min and Lee, Myung-Shik and Lee, Nanette R and Leong, Aaron and Li, Liming and Li, Yun and Li-Gao, Ruifang and Ligthart, Symen and Lindgren, Cecilia M and Linneberg, Allan and Liu, Ching-Ti and Liu, Jianjun and Locke, Adam E and Louie, Tin and Luan, Jian{\textquoteright}an and Luk, Andrea O and Luo, Xi and Lv, Jun and Lynch, Julie A and Lyssenko, Valeriya and Maeda, Shiro and Mamakou, Vasiliki and Mansuri, Sohail Rafik and Matsuda, Koichi and Meitinger, Thomas and Melander, Olle and Metspalu, Andres and Mo, Huan and Morris, Andrew D and Moura, Filipe A and Nadler, Jerry L and Nalls, Michael A and Nayak, Uma and Ntalla, Ioanna and Okada, Yukinori and Orozco, Lorena and Patel, Sanjay R and Patil, Snehal and Pei, Pei and Pereira, Mark A and Peters, Annette and Pirie, Fraser J and Polikowsky, Hannah G and Porneala, Bianca and Prasad, Gauri and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Roden, Michael and Rohde, Rebecca and Roll, Katheryn and Sabanayagam, Charumathi and Sandow, Kevin and Sankareswaran, Alagu and Sattar, Naveed and Sch{\"o}nherr, Sebastian and Shahriar, Mohammad and Shen, Botong and Shi, Jinxiu and Shin, Dong Mun and Shojima, Nobuhiro and Smith, Jennifer A and So, Wing Yee and Stan{\v c}{\'a}kov{\'a}, Alena and Steinthorsdottir, Valgerdur and Stilp, Adrienne M and Strauch, Konstantin and Taylor, Kent D and Thorand, Barbara and Thorsteinsdottir, Unnur and Tomlinson, Brian and Tran, Tam C and Tsai, Fuu-Jen and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and Valladares-Salgado, Adan and van Dam, Rob M and van Klinken, Jan B and Varma, Rohit and Wacher-Rodarte, Niels and Wheeler, Eleanor and Wickremasinghe, Ananda R and van Dijk, Ko Willems and Witte, Daniel R and Yajnik, Chittaranjan S and Yamamoto, Ken and Yamamoto, Kenichi and Yoon, Kyungheon and Yu, Canqing and Yuan, Jian-Min and Yusuf, Salim and Zawistowski, Matthew and Zhang, Liang and Zheng, Wei and Raffel, Leslie J and Igase, Michiya and Ipp, Eli and Redline, Susan and Cho, Yoon Shin and Lind, Lars and Province, Michael A and Fornage, Myriam and Hanis, Craig L and Ingelsson, Erik and Zonderman, Alan B and Psaty, Bruce M and Wang, Ya-Xing and Rotimi, Charles N and Becker, Diane M and Matsuda, Fumihiko and Liu, Yongmei and Yokota, Mitsuhiro and Kardia, Sharon L R and Peyser, Patricia A and Pankow, James S and Engert, James C and Bonnefond, Am{\'e}lie and Froguel, Philippe and Wilson, James G and Sheu, Wayne H H and Wu, Jer-Yuarn and Hayes, M Geoffrey and Ma, Ronald C W and Wong, Tien-Yin and Mook-Kanamori, Dennis O and Tuomi, Tiinamaija and Chandak, Giriraj R and Collins, Francis S and Bharadwaj, Dwaipayan and Par{\'e}, Guillaume and Sale, Mich{\`e}le M and Ahsan, Habibul and Motala, Ayesha A and Shu, Xiao-Ou and Park, Kyong-Soo and Jukema, J Wouter and Cruz, Miguel and Chen, Yii-Der Ida and Rich, Stephen S and McKean-Cowdin, Roberta and Grallert, Harald and Cheng, Ching-Yu and Ghanbari, Mohsen and Tai, E-Shyong and Dupuis, Jos{\'e}e and Kato, Norihiro and Laakso, Markku and K{\"o}ttgen, Anna and Koh, Woon-Puay and Bowden, Donald W and Palmer, Colin N A and Kooner, Jaspal S and Kooperberg, Charles and Liu, Simin and North, Kari E and Saleheen, Danish and Hansen, Torben and Pedersen, Oluf and Wareham, Nicholas J and Lee, Juyoung and Kim, Bong-Jo and Millwood, Iona Y and Walters, Robin G and Stefansson, Kari and Ahlqvist, Emma and Goodarzi, Mark O and Mohlke, Karen L and Langenberg, Claudia and Haiman, Christopher A and Loos, Ruth J F and Florez, Jose C and Rader, Daniel J and Ritchie, Marylyn D and Z{\"o}llner, Sebastian and M{\"a}gi, Reedik and Marston, Nicholas A and Ruff, Christian T and van Heel, David A and Finer, Sarah and Denny, Joshua C and Yamauchi, Toshimasa and Kadowaki, Takashi and Chambers, John C and Ng, Maggie C Y and Sim, Xueling and Below, Jennifer E and Tsao, Philip S and Chang, Kyong-Mi and McCarthy, Mark I and Meigs, James B and Mahajan, Anubha and Spracklen, Cassandra N and Mercader, Josep M and Boehnke, Michael and Rotter, Jerome I and Vujkovic, Marijana and Voight, Benjamin F and Morris, Andrew P and Zeggini, Eleftheria} } @article {9576, title = {{Genome-wide association study of preserved ratio impaired spirometry (PRISm)}, journal = {Eur Respir J}, volume = {63}, year = {2024}, month = {Jan}, abstract = {{0.70. PRISm is associated with respiratory symptoms and comorbidities. Our objective was to discover novel genetic signals for PRISm and see if they provide insight into the pathogenesis of PRISm and associated comorbidities.\ We undertook a genome-wide association study (GWAS) of PRISm in UK Biobank participants (Stage 1), and selected single nucleotide polymorphisms (SNPs) reaching genome-wide significance for replication in 13 cohorts (Stage 2). A combined meta-analysis of Stage 1 and Stage 2 was done to determine top SNPs. We used cross-trait linkage disequilibrium score regression to estimate genome-wide genetic correlation between PRISm and pulmonary and extrapulmonary traits. Phenome-wide association studies of top SNPs were performed.\ =0.12}, author = {Higbee, D. H. and Lirio, A. and Hamilton, F. and Granell, R. and Wyss, A. B. and London, S. J. and Bartz, T. M. and Gharib, S. A. and Cho, M. H. and Wan, E. and Silverman, E. and Crapo, J. D. and Lominchar, J. V. T. and Hansen, T. and Grarup, N. and Dantoft, T. and rhus, L. and Linneberg, A. and O{\textquoteright}Connor, G. T. and Dupuis, J. and Xu, H. and De Vries, M. M. and Hu, X. and Rich, S. S. and Barr, R. G. and Manichaikul, A. and Wijnant, S. R. A. and Brusselle, G. G. and Lahousse, L. and Li, X. and ndez Cordero, A. I. and Obeidat, M. and Sin, D. D. and Harris, S. E. and Redmond, P. and Taylor, A. M. and Cox, S. R. and Williams, A. T. and Shrine, N. and John, C. and Guyatt, A. L. and Hall, I. P. and Davey Smith, G. and Tobin, M. D. and Dodd, J. W.} } @article {9648, title = {The Gut Microbial Metabolite Trimethylamine N-oxide, Incident CKD, and Kidney Function Decline.}, journal = {J Am Soc Nephrol}, year = {2024}, month = {2024 Apr 09}, abstract = {

BACKGROUND: Trimethylamine N-oxide (TMAO) is a gut microbiota-derived metabolite of dietary phosphatidylcholine and carnitine. Experimentally, TMAO causes kidney injury and tubulointerstitial fibrosis. Little is known about prospective associations between TMAO and kidney outcomes, especially incident CKD. We hypothesized that higher plasma TMAO levels would be associated with higher risk of incident CKD and greater rate of kidney function decline.

METHODS: We included 10,564 participants from two community-based, prospective cohorts with estimated glomerular filtration rate (eGFR) >= 60 mL/min/1.73m2 to assess incident CKD. TMAO was measured using targeted mass spectrometry at baseline and one follow-up visit. Creatinine and Cystatin C were measured up to 4 times during follow-up and used to compute eGFR. Incident CKD was defined as an eGFR decline >= 30\% from baseline and a resulting eGFR<60 ml/min/1.73 m2. Time-varying Cox models assessed the association of serial TMAO measures with incident CKD, adjusting for sociodemographic, lifestyle, diet, and cardiovascular disease risk factors. Linear mixed models assessed the association with annualized eGFR change in 10,009 participants with at least one follow-up eGFR measure without exclusions for baseline eGFR levels.

RESULTS: During a median follow-up of 9.4 years (interquartile range: 9.1-11.6 years), 979 incident CKD events occurred. Higher TMAO levels associated with higher risk of incident CKD (2nd to 5th vs. 1st quintile HR[95\%CI]= 1.65 [1.22-2.23], 1.68 [1.26-2.25], 2.28 [1.72-3.02], and 2.24[1.68-2.98], respectively) and greater annualized eGFR decline ( 2nd to 5th vs. 1st quintile annualized eGFR change= -0.21 [-0.32, -0.09], -0.17 [-0.29, -0.05], -0.35 [-0.47, -0.22], and -0.43[-0.56, -0.30], respectively) with monotonic dose-response relationships. These associations were consistent across different racial/ethnic groups examined. The association with eGFR decline was similar to or larger than that seen for established CKD risk factors including diabetes, per 10 mmHg of higher systolic blood pressure, per 10 years of older age, and Black race.

CONCLUSIONS: In community-based US adults, higher serial measures of plasma TMAO were associated with higher risk of incident CKD and greater annualized kidney function decline.

}, issn = {1533-3450}, doi = {10.1681/ASN.0000000000000344}, author = {Wang, Meng and Tang, W H Wilson and Li, Xinmin S and de Oliveira Otto, Marcia C and Lee, Yujin and Lemaitre, Rozenn N and Fretts, Amanda and Nemet, Ina and Sotoodehnia, Nona and Sitlani, Colleen M and Budoff, Matthew and DiDonato, Joseph A and Wang, Zeneng and Bansal, Nisha and Shlipak, Michael G and Psaty, Bruce M and Siscovick, David S and Sarnak, Mark J and Mozaffarian, Dariush and Hazen, Stanley L} } @article {9635, title = {Large-scale circulating proteome association study (CPAS) meta-analysis identifies circulating proteins and pathways predicting incident hip fractures.}, journal = {J Bone Miner Res}, year = {2024}, month = {2024 Jan 04}, abstract = {

Hip fractures are associated with significant disability, high cost, and mortality. However, the exact biological mechanisms underlying susceptibility to hip fractures remain incompletely understood. In an exploratory search of the underlying biology as reflected through the circulating proteome, we performed a comprehensive Circulating Proteome Association Study (CPAS) meta-analysis for incident hip fractures. Analyses included 6430 subjects from two prospective cohort studies (Cardiovascular Health Study and Tr{\o}ndelag Health Study) with circulating proteomics data (aptamer-based 5~K SomaScan version 4.0 assay; 4979 aptamers). Associations between circulating protein levels and incident hip fractures were estimated for each cohort using age and sex-adjusted Cox regression models. Participants experienced 643 incident hip fractures. Compared with the individual studies, inverse-variance weighted meta-analyses yielded more statistically significant associations, identifying 23 aptamers associated with incident hip fractures (conservative Bonferroni correction 0.05/4979, P < 1.0 {\texttimes} 10-5). The aptamers most strongly associated with hip fracture risk corresponded to two proteins of the growth hormone/insulin growth factor system (GHR and IGFBP2), as well as GDF15 and EGFR. High levels of several inflammation-related proteins (CD14, CXCL12, MMP12, ITIH3) were also associated with increased hip fracture risk. Ingenuity pathway analysis identified reduced LXR/RXR activation and increased acute phase response signaling to be overrepresented among those proteins associated with increased hip fracture risk. These analyses identified several circulating proteins and pathways consistently associated with incident hip fractures. These findings underscore the usefulness of the meta-analytic approach for comprehensive CPAS in a similar manner as has previously been observed for large-scale human genetic studies. Future studies should investigate the underlying biology of these potential novel drug targets.

}, issn = {1523-4681}, doi = {10.1093/jbmr/zjad011}, author = {Austin, Thomas R and Fink, Howard A and Jalal, Diana I and T{\"o}rnqvist, Anna E and B{\r u}zkov{\'a}, Petra and Barzilay, Joshua I and Lu, Tianyuan and Carbone, Laura and Gabrielsen, Maiken E and Grahnemo, Louise and Hveem, Kristian and Jonasson, Christian and Kizer, Jorge R and Langhammer, Arnulf and Mukamal, Kenneth J and Gerszten, Robert E and Nethander, Maria and Psaty, Bruce M and Robbins, John A and Sun, Yan V and Skogholt, Anne Heidi and {\r A}svold, Bj{\o}rn Olav and Valderr{\'a}bano, Rodrigo J and Zheng, Jie and Richards, J Brent and Coward, Eivind and Ohlsson, Claes} } @article {9642, title = {A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations.}, journal = {medRxiv}, year = {2024}, month = {2024 Mar 08}, abstract = {

Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to genes involved in neurological, thyroidal, bone metabolism, and hematopoietic pathways. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausibility of distinct influences of both sleep duration extremes in cardiovascular health. With several of our loci reflecting specificity towards population background or sex, our discovery sheds light on the importance of embracing granularity when addressing heterogeneity entangled in gene-environment interactions, and in therapeutic design approaches for blood pressure management.

}, doi = {10.1101/2024.03.07.24303870}, author = {Nagarajan, Pavithra and Winkler, Thomas W and Bentley, Amy R and Miller, Clint L and Kraja, Aldi T and Schwander, Karen and Lee, Songmi and Wang, Wenyi and Brown, Michael R and Morrison, John L and Giri, Ayush and O{\textquoteright}Connell, Jeffrey R and Bartz, Traci M and de Las Fuentes, Lisa and Gudmundsdottir, Valborg and Guo, Xiuqing and Harris, Sarah E and Huang, Zhijie and Kals, Mart and Kho, Minjung and Lefevre, Christophe and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Mangino, Massimo and Milaneschi, Yuri and Palmer, Nicholette D and Rao, Varun and Rauramaa, Rainer and Shen, Botong and Stadler, Stefan and Sun, Quan and Tang, Jingxian and Th{\'e}riault, S{\'e}bastien and van der Graaf, Adriaan and van der Most, Peter J and Wang, Yujie and Weiss, Stefan and Westerman, Kenneth E and Yang, Qian and Yasuharu, Tabara and Zhao, Wei and Zhu, Wanying and Altschul, Drew and Ansari, Md Abu Yusuf and Anugu, Pramod and Argoty-Pantoja, Anna D and Arzt, Michael and Aschard, Hugues and Attia, John R and Bazzanno, Lydia and Breyer, Max A and Brody, Jennifer A and Cade, Brian E and Chen, Hung-Hsin and Ida Chen, Yii-Der and Chen, Zekai and de Vries, Paul S and Dimitrov, Latchezar M and Do, Anh and Du, Jiawen and Dupont, Charles T and Edwards, Todd L and Evans, Michele K and Faquih, Tariq and Felix, Stephan B and Fisher-Hoch, Susan P and Floyd, James S and Graff, Mariaelisa and Gu, Charles and Gu, Dongfeng and Hairston, Kristen G and Hanley, Anthony J and Heid, Iris M and Heikkinen, Sami and Highland, Heather M and Hood, Michelle M and K{\"a}h{\"o}nen, Mika and Karvonen-Gutierrez, Carrie A and Kawaguchi, Takahisa and Kazuya, Setoh and Kelly, Tanika N and Komulainen, Pirjo and Levy, Daniel and Lin, Henry J and Liu, Peter Y and Marques-Vidal, Pedro and McCormick, Joseph B and Mei, Hao and Meigs, James B and Menni, Cristina and Nam, Kisung and Nolte, Ilja M and Pacheco, Natasha L and Petty, Lauren E and Polikowsky, Hannah G and Province, Michael A and Psaty, Bruce M and Raffield, Laura M and Raitakari, Olli T and Rich, Stephen S and Riha, Renata L and Risch, Lorenz and Risch, Martin and Ruiz-Narvaez, Edward A and Scott, Rodney J and Sitlani, Colleen M and Smith, Jennifer A and Sofer, Tamar and Teder-Laving, Maris and V{\"o}lker, Uwe and Vollenweider, Peter and Wang, Guanchao and van Dijk, Ko Willems and Wilson, Otis D and Xia, Rui and Yao, Jie and Young, Kristin L and Zhang, Ruiyuan and Zhu, Xiaofeng and Below, Jennifer E and B{\"o}ger, Carsten A and Conen, David and Cox, Simon R and D{\"o}rr, Marcus and Feitosa, Mary F and Fox, Ervin R and Franceschini, Nora and Gharib, Sina A and Gudnason, Vilmundur and Harlow, Sioban D and He, Jiang and Holliday, Elizabeth G and Kutalik, Zolt{\'a}n and Lakka, Timo A and Lawlor, Deborah A and Lee, Seunggeun and Lehtim{\"a}ki, Terho and Li, Changwei and Liu, Ching-Ti and M{\"a}gi, Reedik and Matsuda, Fumihiko and Morrison, Alanna C and Penninx, Brenda Wjh and Peyser, Patricia A and Rotter, Jerome I and Snieder, Harold and Spector, Tim D and Wagenknecht, Lynne E and Wareham, Nicholas J and Zonderman, Alan B and North, Kari E and Fornage, Myriam and Hung, Adriana M and Manning, Alisa K and Gauderman, James and Chen, Han and Munroe, Patricia B and Rao, Dabeeru C and van Heemst, Diana and Redline, Susan and Noordam, Raymond and Wang, Heming} } @article {9613, title = {Levels of procoagulant factors and peak thrombin generation in relation to dementia risk in older adults: The Cardiovascular Health Study.}, journal = {Thromb Res}, volume = {235}, year = {2024}, month = {2024 Mar}, pages = {148-154}, abstract = {

INTRODUCTION: Markers of hemostasis such as procoagulant factors and peak thrombin generation are associated with cardiovascular outcomes, but their associations with dementia risk are unclear. We aimed to evaluate prospective associations of selected procoagulant factors and peak thrombin generation with dementia risk.

METHODS: We measured levels of 7 hemostatic factors (fibrinogen, factor VII coagulant activity [FVIIc], activated factor VII [FVIIa], factor VIIa-antithrombin [FVIIa-AT], factor XI antigen [FXI], peak thrombin generation, and platelet count) among participants in the Cardiovascular Health Study, a cohort of older adults free of dementia in 1992/1993 (n~=~3185). Dementia was adjudicated and classified by DSM-IV criteria through 1998/1999. Cox proportional hazards models estimated hazard ratios (HRs) for any dementia associated with 1-standard deviation (SD) differences, adjusting for sociodemographic and clinical factors and APOE genotype. Secondary analyses separately evaluated the risk of vascular dementia, Alzheimer{\textquoteright}s disease, and mixed dementia.

RESULTS: At baseline, participants had a median age of 73~years. Over 5.4~years of follow-up, we identified 448 dementia cases. There was no evidence of linear associations between levels of these hemostatic factors with any dementia risk (HRs per 1-SD difference ranged from 1.0 to 1.1; 95~\% confidence intervals included 1.0). Results of secondary analyses by dementia subtype were similar.

CONCLUSIONS: In this prospective study, there was no strong evidence of linear associations between levels of fibrinogen, FVIIc, FVIIa, FVIIa-AT, FXI, peak thrombin generation, or platelet count with dementia risk. Despite their associations with cardiovascular disease, higher levels of these biomarkers measured among older adults may not reflect dementia risk.

}, keywords = {Aged, Anticoagulants, Antithrombin III, Antithrombins, Dementia, Factor VIIa, Fibrinogen, Hemostatics, Humans, Prospective Studies, Thrombin}, issn = {1879-2472}, doi = {10.1016/j.thromres.2024.01.024}, author = {Harrington, Laura B and Ehlert, Alexa N and Thacker, Evan L and Jenny, Nancy S and Lopez, Oscar and Cushman, Mary and Olson, Nels C and Fitzpatrick, Annette and Mukamal, Kenneth J and Jensen, Majken K} } @article {9618, title = {{Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications}, journal = {Nat Commun}, volume = {15}, year = {2024}, month = {Jan}, pages = {888}, abstract = {T3, whereas the FT4 associations represent the thyroid hormone metabolism. Polygenic risk score and Mendelian randomization analyses showed the effects of genetically determined variation in thyroid function on various clinical outcomes, including cardiovascular risk factors and diseases, autoimmune diseases, and cancer. In conclusion, our results improve the understanding of thyroid hormone physiology and highlight the pleiotropic effects of thyroid function on various diseases.}, author = {Sterenborg, R. B. T. M. and Steinbrenner, I. and Li, Y. and Bujnis, M. N. and Naito, T. and Marouli, E. and Galesloot, T. E. and Babajide, O. and Andreasen, L. and Astrup, A. and svold, B. O. and Bandinelli, S. and Beekman, M. and Beilby, J. P. and Bork-Jensen, J. and Boutin, T. and Brody, J. A. and Brown, S. J. and Brumpton, B. and Campbell, P. J. and Cappola, A. R. and Ceresini, G. and Chaker, L. and Chasman, D. I. and Concas, M. P. and Coutinho de Almeida, R. and Cross, S. M. and Cucca, F. and Deary, I. J. and Kjaergaard, A. D. and Echouffo Tcheugui, J. B. and Ellervik, C. and Eriksson, J. G. and Ferrucci, L. and Freudenberg, J. and Fuchsberger, C. and Gieger, C. and Giulianini, F. and gele, M. and Graham, S. E. and Grarup, N. and {\"a}, I. and Hansen, T. and Harding, B. N. and Harris, S. E. and {\o}, S. and Hayward, C. and Hui, J. and Ittermann, T. and Jukema, J. W. and Kajantie, E. and Kanters, J. K. and rhus, L. L. and Kiemeney, L. A. L. M. and Kloppenburg, M. and hnel, B. and Lahti, J. and Langenberg, C. and Lapauw, B. and Leese, G. and Li, S. and Liewald, D. C. M. and Linneberg, A. and Lominchar, J. V. T. and Luan, J. and Martin, N. G. and Matana, A. and Meima, M. E. and Meitinger, T. and Meulenbelt, I. and Mitchell, B. D. and llehave, L. T. and Mora, S. and Naitza, S. and Nauck, M. and Netea-Maier, R. T. and Noordam, R. and Nursyifa, C. and Okada, Y. and Onano, S. and Papadopoulou, A. and Palmer, C. N. A. and Pattaro, C. and Pedersen, O. and Peters, A. and Pietzner, M. and ek, O. and Pramstaller, P. P. and Psaty, B. M. and Punda, A. and Ray, D. and Redmond, P. and Richards, J. B. and Ridker, P. M. and Russ, T. C. and Ryan, K. A. and Olesen, M. S. and Schultheiss, U. T. and Selvin, E. and Siddiqui, M. K. and Sidore, C. and Slagboom, P. E. and rensen, T. I. A. and Soto-Pedre, E. and Spector, T. D. and Spedicati, B. and Srinivasan, S. and Starr, J. M. and Stott, D. J. and Tanaka, T. and Torlak, V. and Trompet, S. and Tuhkanen, J. and Uitterlinden, A. G. and van den Akker, E. B. and van den Eynde, T. and van der Klauw, M. M. and van Heemst, D. and Verroken, C. and Visser, W. E. and Vojinovic, D. and lzke, H. and Waldenberger, M. and Walsh, J. P. and Wareham, N. J. and Weiss, S. and Willer, C. J. and Wilson, S. G. and Wolffenbuttel, B. H. R. and Wouters, H. J. C. M. and Wright, M. J. and Yang, Q. and Zemunik, T. and Zhou, W. and Zhu, G. and llner, S. and Smit, J. W. A. and Peeters, R. P. and ttgen, A. and Teumer, A. and Medici, M.} } @article {9640, title = {Plasma proteomic signature of human longevity.}, journal = {Aging Cell}, year = {2024}, month = {2024 Mar 05}, pages = {e14136}, abstract = {

The identification of protein targets that exhibit anti-aging clinical potential could inform interventions to lengthen the human health span. Most previous proteomics research has been focused on chronological age instead of longevity. We leveraged two large population-based prospective cohorts with long follow-ups to evaluate the proteomic signature of longevity defined by survival to 90 years of age. Plasma proteomics was measured using a SOMAscan assay in 3067 participants from the Cardiovascular Health Study (discovery cohort) and 4690 participants from the Age Gene/Environment Susceptibility-Reykjavik Study (replication cohort). Logistic regression identified 211 significant proteins in the CHS cohort using a Bonferroni-adjusted threshold, of which 168 were available in the replication cohort and 105 were replicated (corrected p value <0.05). The most significant proteins were GDF-15 and N-terminal pro-BNP in both cohorts. A parsimonious protein-based prediction model was built using 33 proteins selected by LASSO with 10-fold cross-validation and validated using 27 available proteins in the validation cohort. This protein model outperformed a basic model using traditional factors (demographics, height, weight, and smoking) by improving the AUC from 0.658 to 0.748 in the discovery cohort and from 0.755 to 0.802 in the validation cohort. We also found that the associations of 169 out of 211 proteins were partially mediated by physical and/or cognitive function. These findings could contribute to the identification of biomarkers and pathways of aging and potential therapeutic targets to delay aging and age-related diseases.

}, issn = {1474-9726}, doi = {10.1111/acel.14136}, author = {Liu, Xiaojuan and Axelsson, Gisli Thor and Newman, Anne B and Psaty, Bruce M and Boudreau, Robert M and Wu, Chenkai and Arnold, Alice M and Aspelund, Thor and Austin, Thomas R and Gardin, Julius M and Siggeirsdottir, Kristin and Tracy, Russell P and Gerszten, Robert E and Launer, Lenore J and Jennings, Lori L and Gudnason, Vilmundur and Sanders, Jason L and Odden, Michelle C} } @article {9587, title = {Role of Polyunsaturated Fat in Modifying Cardiovascular Risk Associated With Family History of Cardiovascular Disease: Pooled De Novo Results From 15 Observational Studies.}, journal = {Circulation}, volume = {149}, year = {2024}, month = {2024 Jan 23}, pages = {305-316}, abstract = {

BACKGROUND: It is unknown whether dietary intake of polyunsaturated fatty acids (PUFA) modifies the cardiovascular disease (CVD) risk associated with a family history of CVD. We assessed interactions between biomarkers of low PUFA intake and a family history in relation to long-term CVD risk in a large consortium.

METHODS: Blood and tissue PUFA data from 40 885 CVD-free adults were assessed. PUFA levels <=25th percentile were considered to reflect low intake of linoleic, alpha-linolenic, and eicosapentaenoic/docosahexaenoic acids (EPA/DHA). Family history was defined as having >=1 first-degree relative who experienced a CVD event. Relative risks with 95\% CI of CVD were estimated using Cox regression and meta-analyzed. Interactions were assessed by analyzing product terms and calculating relative excess risk due to interaction.

RESULTS: After multivariable adjustments, a significant interaction between low EPA/DHA and family history was observed (product term pooled RR, 1.09 [95\% CI, 1.02-1.16]; =0.01). The pooled relative risk of CVD associated with the combined exposure to low EPA/DHA, and family history was 1.41 (95\% CI, 1.30-1.54), whereas it was 1.25 (95\% CI, 1.16-1.33) for family history alone and 1.06 (95\% CI, 0.98-1.14) for EPA/DHA alone, compared with those with neither exposure. The relative excess risk due to interaction results indicated no interactions.

CONCLUSIONS: A significant interaction between biomarkers of low EPA/DHA intake, but not the other PUFA, and a family history was observed. This novel finding might suggest a need to emphasize the benefit of consuming oily fish for individuals with a family history of CVD.

}, keywords = {Animals, Biomarkers, Cardiovascular Diseases, Docosahexaenoic Acids, Fatty Acids, Omega-3, Risk Factors}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.123.065530}, author = {Laguzzi, Federica and {\r A}kesson, Agneta and Marklund, Matti and Qian, Frank and Gigante, Bruna and Bartz, Traci M and Bassett, Julie K and Birukov, Anna and Campos, Hannia and Hirakawa, Yoichiro and Imamura, Fumiaki and J{\"a}ger, Susanne and Lankinen, Maria and Murphy, Rachel A and Senn, Mackenzie and Tanaka, Toshiko and Tintle, Nathan and Virtanen, Jyrki K and Yamagishi, Kazumasa and Allison, Matthew and Brouwer, Ingeborg A and de Faire, Ulf and Eiriksdottir, Gudny and Ferrucci, Luigi and Forouhi, Nita G and Geleijnse, Johanna M and Hodge, Allison M and Kimura, Hitomi and Laakso, Markku and Riserus, Ulf and van Westing, Anniek C and Bandinelli, Stefania and Baylin, Ana and Giles, Graham G and Gudnason, Vilmundur and Iso, Hiroyasu and Lemaitre, Rozenn N and Ninomiya, Toshiharu and Post, Wendy S and Psaty, Bruce M and Salonen, Jukka T and Schulze, Matthias B and Tsai, Michael Y and Uusitupa, Matti and Wareham, Nicholas J and Oh, Seung-Won and Wood, Alexis C and Harris, William S and Siscovick, David and Mozaffarian, Dariush and Leander, Karin} } @article {9579, title = {X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.}, journal = {Nat Commun}, volume = {15}, year = {2024}, month = {2024 Jan 18}, pages = {586}, abstract = {

X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases. We performed a sex-stratified cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits (n = 908,697), identifying 23 loci genome-wide significantly associated with two of the traits: 7 for uric acid and 16 for estimated glomerular filtration rate (eGFR), including four novel eGFR loci containing the functionally plausible prioritized genes ACSL4, CLDN2, TSPAN6 and the female-specific DRP2. Further, we identified five novel sex-interactions, comprising male-specific effects at FAM9B and AR/EDA2R, and three sex-differential findings with larger genetic effect sizes in males at DCAF12L1 and MST4 and larger effect sizes in females at HPRT1. All prioritized genes in loci showing significant sex-interactions were located next to androgen response elements (ARE). Five ARE genes showed sex-differential expressions. This study contributes new insights into sex-dimorphisms of kidney traits along with new prioritized gene targets for further molecular research.

}, keywords = {Androgens, Chromosomes, Human, X, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Kidney, Male, Polymorphism, Single Nucleotide, Response Elements, Tetraspanins}, issn = {2041-1723}, doi = {10.1038/s41467-024-44709-1}, author = {Scholz, Markus and Horn, Katrin and Pott, Janne and Wuttke, Matthias and K{\"u}hnapfel, Andreas and Nasr, M Kamal and Kirsten, Holger and Li, Yong and Hoppmann, Anselm and Gorski, Mathias and Ghasemi, Sahar and Li, Man and Tin, Adrienne and Chai, Jin-Fang and Cocca, Massimiliano and Wang, Judy and Nutile, Teresa and Akiyama, Masato and {\r A}svold, Bj{\o}rn Olav and Bansal, Nisha and Biggs, Mary L and Boutin, Thibaud and Brenner, Hermann and Brumpton, Ben and Burkhardt, Ralph and Cai, Jianwen and Campbell, Archie and Campbell, Harry and Chalmers, John and Chasman, Daniel I and Chee, Miao Ling and Chee, Miao Li and Chen, Xu and Cheng, Ching-Yu and Cifkova, Renata and Daviglus, Martha and Delgado, Graciela and Dittrich, Katalin and Edwards, Todd L and Endlich, Karlhans and Michael Gaziano, J and Giri, Ayush and Giulianini, Franco and Gordon, Scott D and Gudbjartsson, Daniel F and Hallan, Stein and Hamet, Pavel and Hartman, Catharina A and Hayward, Caroline and Heid, Iris M and Hellwege, Jacklyn N and Holleczek, Bernd and Holm, Hilma and Hutri-K{\"a}h{\"o}nen, Nina and Hveem, Kristian and Isermann, Berend and Jonas, Jost B and Joshi, Peter K and Kamatani, Yoichiro and Kanai, Masahiro and Kastarinen, Mika and Khor, Chiea Chuen and Kiess, Wieland and Kleber, Marcus E and K{\"o}rner, Antje and Kovacs, Peter and Krajcoviechova, Alena and Kramer, Holly and Kr{\"a}mer, Bernhard K and Kuokkanen, Mikko and K{\"a}h{\"o}nen, Mika and Lange, Leslie A and Lash, James P and Lehtim{\"a}ki, Terho and Li, Hengtong and Lin, Bridget M and Liu, Jianjun and Loeffler, Markus and Lyytik{\"a}inen, Leo-Pekka and Magnusson, Patrik K E and Martin, Nicholas G and Matsuda, Koichi and Milaneschi, Yuri and Mishra, Pashupati P and Mononen, Nina and Montgomery, Grant W and Mook-Kanamori, Dennis O and Mychaleckyj, Josyf C and M{\"a}rz, Winfried and Nauck, Matthias and Nikus, Kjell and Nolte, Ilja M and Noordam, Raymond and Okada, Yukinori and Olafsson, Isleifur and Oldehinkel, Albertine J and Penninx, Brenda W J H and Perola, Markus and Pirastu, Nicola and Polasek, Ozren and Porteous, David J and Poulain, Tanja and Psaty, Bruce M and Rabelink, Ton J and Raffield, Laura M and Raitakari, Olli T and Rasheed, Humaira and Reilly, Dermot F and Rice, Kenneth M and Richmond, Anne and Ridker, Paul M and Rotter, Jerome I and Rudan, Igor and Sabanayagam, Charumathi and Salomaa, Veikko and Schneiderman, Neil and Sch{\"o}ttker, Ben and Sims, Mario and Snieder, Harold and Stark, Klaus J and Stefansson, Kari and Stocker, Hannah and Stumvoll, Michael and Sulem, Patrick and Sveinbjornsson, Gardar and Svensson, Per O and Tai, E-Shyong and Taylor, Kent D and Tayo, Bamidele O and Teren, Andrej and Tham, Yih-Chung and Thiery, Joachim and Thio, Chris H L and Thomas, Laurent F and Tremblay, Johanne and T{\"o}njes, Anke and van der Most, Peter J and Vitart, Veronique and V{\"o}lker, Uwe and Wang, Ya Xing and Wang, Chaolong and Wei, Wen Bin and Whitfield, John B and Wild, Sarah H and Wilson, James F and Winkler, Thomas W and Wong, Tien-Yin and Woodward, Mark and Sim, Xueling and Chu, Audrey Y and Feitosa, Mary F and Thorsteinsdottir, Unnur and Hung, Adriana M and Teumer, Alexander and Franceschini, Nora and Parsa, Afshin and K{\"o}ttgen, Anna and Schlosser, Pascal and Pattaro, Cristian} }