@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 {1432, title = {High density lipoprotein cholesterol subfractions in older people.}, journal = {J Gerontol}, volume = {49}, year = {1994}, month = {1994 May}, pages = {M116-22}, abstract = {

BACKGROUND: High density lipoprotein (HDL) may be an important risk factor for cardiovascular disease in older people. HDL is heterogeneous with several subfractions. This article describes the distribution and correlates of HDL2 cholesterol (C) and HDL3-C in older people.

METHODS: HDL subfraction cholesterols were measured in 1,127 females and 825 males > or = 65 years old who participated in the Cardiovascular Health Study. Distributions of HDL subfraction cholesterols and bivariate and multivariate relationships were determined in cross-sectional analyses.

RESULTS: Mean (+/- SD) concentrations of HDL subfractions were: HDL3-C (M .98 +/- .25, F 1.2 +/- .29 mmol/l), HDL2-C (M .09 +/- .08, F .13 +/- .09 mmol/l). HDL2-C, but not HDL3-C, was slightly higher with age. Using multivariate analysis, both HDL2-C and HDL3-C (in females) were inversely correlated with triglyceride, body weight, and fasting insulin; HDL3-C was inversely correlated with central fat distribution in women. Both HDL2-C and HDL3-C were lower in participants with prevalent cardiovascular disease. However, only HDL3-C was significantly inversely related to carotid stenosis, as measured by ultrasound.

CONCLUSIONS: The slight increase in HDL-C with age appears to be due to an increase in the HDL2-C subfraction. HDL-C subfractions are independently related to triglyceride levels, body weight, and insulin concentrations in older people, all potentially modifiable risk factors. Both HDL2-C and HDL3-C are lower in older people with prevalent cardiovascular disease, although only HDL3-C was correlated with carotid atherosclerosis. These findings are consistent with the hypothesis that HDL subfractions are important risk factors for atherosclerotic cardiovascular disease in the elderly.

}, keywords = {Aged, Aged, 80 and over, Alcohol Drinking, Body Weight, Carotid Stenosis, Cholesterol, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Coronary Disease, Cross-Sectional Studies, Drug Therapy, Female, Humans, Insulin, Lipoproteins, HDL, Lipoproteins, HDL2, Lipoproteins, HDL3, Male, Sex Factors, Socioeconomic Factors}, issn = {0022-1422}, author = {Ettinger, W H and Verdery, R B and Wahl, P W and Fried, L P} } @article {1412, title = {High density lipoprotein cholesterol is associated with serum cortisol in older people.}, journal = {J Am Geriatr Soc}, volume = {43}, year = {1995}, month = {1995 Dec}, pages = {1345-9}, abstract = {

OBJECTIVE: To determine the associations between serum cortisol and HDL cholesterol, other lipoprotein lipids and cardiovascular risk factors, carotid atherosclerosis, and clinical heart disease in older people.

DESIGN: A cross-sectional, observational, ancillary study of the Cardiovascular Health Study (CHS).

POPULATION: A total of 245 community-dwelling people, 65 to 89 years old, were recruited consecutively for a 2-month period from the CHS cohort in Forsyth County, North Carolina.

METHODS: Cortisol was measured by radioimmunoassay in serum collected between 7:00 and 10:00 AM after an overnight fast. Cortisol levels were correlated with lipoprotein lipids, insulin, glucose, body mass index, waist-hip ratio, prevalent coronary heart disease, hypertension, diabetes, and carotid atherosclerosis by B-mode ultrasound.

RESULTS: Serum cortisol was correlated negatively (r = -.24) with body mass index and waist-hip ratio (r = -.16) but was not related significantly to fasting insulin or glucose. Cortisol was not associated significantly with triglyceride and low density lipoprotein cholesterol but showed a positive correlation (r = .21) with high density lipoprotein cholesterol. The relationship between cortisol and high density lipoprotein cholesterol persisted after adjustment for gender, body mass index, waist-hip ratio, cigarette and alcohol use, triglyceride level, and diabetes. There was a trend toward a negative correlation between cortisol and measures of carotid atherosclerosis, but no significant relationship was indicated between cortisol and prevalent coronary heart disease, hypertension, or diabetes.

CONCLUSION: Endogenous glucocorticoid levels correlated with HDL cholesterol levels and may play a role in the physiologic regulation of high density lipoprotein levels in older people.

}, keywords = {Aged, Body Constitution, Body Mass Index, Cardiovascular Diseases, Carotid Stenosis, Cholesterol, HDL, Coronary Disease, Cross-Sectional Studies, Diabetes Mellitus, Female, Humans, Hydrocortisone, Hypertension, Male, Prevalence, Risk Factors}, issn = {0002-8614}, author = {Varma, V K and Rushing, J T and Ettinger, W H} } @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 {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 {594, title = {Increased blood glucose and insulin, body size, and incident colorectal cancer.}, journal = {J Natl Cancer Inst}, volume = {91}, year = {1999}, month = {1999 Jul 07}, pages = {1147-54}, abstract = {

BACKGROUND: Abdominal obesity--an elevated level of visceral adipose tissue--has been linked to colorectal cancer. Furthermore, elevated levels of visceral adipose tissue have been associated with hyperinsulinemia, and insulin is a growth factor in the colon. We assessed whether waist circumference, a surrogate measure of visceral adipose tissue, and metabolic parameters associated with visceral adipose tissue were related to colorectal cancer.

METHODS: In the Cardiovascular Health Study cohort, we examined the relationship of baseline measurements of body size, glucose, insulin, and lipoproteins to incident colorectal cancer. All P values are two-sided.

RESULTS: Among 5849 participants, 102 incident cases of colorectal cancer were identified. Individuals in the highest quartile of fasting glucose had a nearly twofold increased risk of colorectal cancer (relative risk [RR] = 1.8; 95\% confidence interval [CI] = 1.0-3.1), and the linear trend RR (LT RR = 1.2; 95\% CI = 1.0-1.5) for fasting glucose level was statistically significant (P =. 02). Glucose and insulin levels 2 hours after oral glucose challenge also exhibited statistically significant associations with colorectal cancer (2-hour glucose levels: RR = 2.4 [95\% CI = 1.2-4. 7]/LT RR = 1.3 [95\% CI = 1.0-1.6; P =.02]; 2-hour insulin levels: RR = 2.0 [95\% CI = 1.0-3.8]/LT RR = 1.2 [95\% CI = 1.0-1.5; P =.04]). Analysis of fasting insulin levels suggested a threshold effect, with values above the median associated with colorectal cancer (RR = 1.6; 95\% CI = 1.1-2.4; P =.02). Higher levels of waist circumference were also statistically significantly associated with colorectal cancer (RR = 1.9; 95\% CI = 1.1-3.3; P =.02).

CONCLUSIONS: These data provide, to our knowledge, the first direct evidence of an association between elevated visceral adipose tissue level, its associated metabolic effects, and colorectal cancer.

}, keywords = {Adipose Tissue, Aged, Blood Glucose, Body Constitution, Cholesterol, HDL, Colorectal Neoplasms, Female, Humans, Incidence, Insulin, Male, Prospective Studies, Risk, Triglycerides, Viscera}, issn = {0027-8874}, doi = {10.1093/jnci/91.13.1147}, author = {Schoen, R E and Tangen, C M and Kuller, L H and Burke, G L and Cushman, M and Tracy, R P and Dobs, A and Savage, P J} } @article {697, title = {Cardiovascular disease risk status in elderly persons with renal insufficiency.}, journal = {Kidney Int}, volume = {62}, year = {2002}, month = {2002 Sep}, pages = {997-1004}, abstract = {

BACKGROUND: Renal insufficiency has been independently associated with incident cardiovascular disease events in some, but not all, prospective studies. We determined the prevalence of elevated cardiovascular disease risk status among elderly persons with renal insufficiency.

METHODS: This study is a cross-sectional analysis using data collected at the baseline visit of the Cardiovascular Health Study, which enrolled 5888 community dwelling adults aged 65 years or older from four clinical centers in the United States. Renal insufficiency was defined as a serum creatinine level > or =1.3 mg/dL in women and > or =1.5 mg/dL in men. The outcomes of this study included prevalent cardiovascular disease [prior coronary heart disease (CHD) or stroke], subclinical cardiovascular disease (abnormal values of ankle-arm index, carotid ultrasound, and echocardiography) and elevated cardiovascular risk based upon a diagnosis of diabetes and the Framingham equations. The association between renal insufficiency and cardiovascular risk status was estimated with and without adjustment for other cardiovascular predictors.

RESULTS: Among the 5808 participants with creatinine levels measured at entry, 15.9\% of men (N = 394), and 7.6\% of women (N = 254) had renal insufficiency. The prevalence of either clinical or subclinical cardiovascular disease was 64\% in persons with renal insufficiency compared with 43\% in those without it [odds ratio (OR) 2.34; 95\% confidence interval (95\% CI), 1.96, 2.80]. After adjustment for other cardiovascular risk factors, renal insufficiency remained significantly associated with clinical and subclinical cardiovascular disease (adjusted OR 1.43; 95\% CI, 1.18, 1.75), but the magnitude of association was substantially reduced. After combining clinical and subclinical cardiovascular disease, diabetes, and an estimated risk>20\% by the Framingham equations, 78\% of men and 61\% of women with renal insufficiency had elevated cardiovascular risk status.

CONCLUSIONS: Renal insufficiency is a marker for elevated cardiovascular disease risk in community dwelling elderly adults.

}, keywords = {Age Distribution, Aged, Cholesterol, HDL, Cholesterol, LDL, Coronary Disease, Creatinine, Cross-Sectional Studies, Female, Humans, Kidney Failure, Chronic, Male, Prevalence, Prospective Studies, Risk Factors}, issn = {0085-2538}, doi = {10.1046/j.1523-1755.2002.00522.x}, author = {Shlipak, Michael G and Fried, Linda F and Crump, Casey and Bleyer, Anthony J and Manolio, Teri A and Tracy, Russell P and Furberg, Curt D and Psaty, Bruce M} } @article {959, title = {Alcohol consumption and lipoprotein subclasses in older adults.}, journal = {J Clin Endocrinol Metab}, volume = {92}, year = {2007}, month = {2007 Jul}, pages = {2559-66}, abstract = {

CONTEXT: Limited evidence suggests that alcohol intake may be associated with lipoprotein subclass distribution, which could mediate its relationship with coronary heart disease.

OBJECTIVES: The objective was to determine the relationship of alcohol intake with lipoprotein particle subclasses.

DESIGN, SETTING, AND PARTICIPANTS: The study included a cross-sectional analysis of 1850 participants of the Cardiovascular Health Study aged 65 yr and older and free of clinical cardiovascular disease.

MAIN OUTCOME MEASURE: Lipoprotein subclass distribution was measured with nuclear magnetic resonance spectroscopy, according to self-reported alcohol intake.

RESULTS: Alcohol intake was associated with total low-density lipoprotein (LDL) particles in a U-shaped manner. Consumers of one or more drinks per week had the highest number of large LDL particles, whereas consumers of 7-13 drinks per week had the lowest number of small LDL particles. Alcohol intake was strongly positively associated with large- and medium-sized high-density lipoprotein (HDL) particles but had an inverse relationship with concentrations of small HDL particles and small- and medium-sized very-low-density lipoprotein particles. Average particle sizes of all three lipoproteins were positively associated with alcohol intake. Associations were generally stronger among women than men but in similar directions. Beverage type did not consistently modify these findings.

CONCLUSIONS: Alcohol intake is associated with less total LDL particles, lower levels of small LDL, HDL, and very-low-density lipoprotein particles, and higher levels of large LDL and medium- and large-sized HDL particles in older adults free of prevalent clinical cardiovascular disease.

}, keywords = {Aged, Alcohol Drinking, Cholesterol, Cholesterol, HDL, Cholesterol, LDL, Cholesterol, VLDL, Coronary Disease, Cross-Sectional Studies, Female, Humans, Magnetic Resonance Spectroscopy, Male, Prevalence, Risk Factors}, issn = {0021-972X}, doi = {10.1210/jc.2006-2422}, author = {Mukamal, Kenneth J and Mackey, Rachel H and Kuller, Lewis H and Tracy, Russell P and Kronmal, Richard A and Mittleman, Murray A and Siscovick, David S} } @article {969, title = {Costs of the metabolic syndrome in elderly individuals: findings from the Cardiovascular Health Study.}, journal = {Diabetes Care}, volume = {30}, year = {2007}, month = {2007 Oct}, pages = {2553-8}, abstract = {

OBJECTIVE: The cardiovascular consequences of the metabolic syndrome and its component risk factors have been documented in elderly individuals. Little is known about how the metabolic syndrome and its individual components translate into long-term medical costs.

RESEARCH DESIGN AND METHODS: We used log-linear regression models to assess the independent contributions of the metabolic syndrome and its individual components to 10-year medical costs among 3,789 individuals aged > or = 65 years in the Cardiovascular Health Study.

RESULTS: As defined by the National Cholesterol Education Program Third Adult Treatment Panel report, the metabolic syndrome was present in 47\% of the sample. Total costs to Medicare were 20\% higher among participants with the metabolic syndrome ($40,873 vs. $33,010; P < 0.001). Controlling for age, sex, race/ethnicity, and other covariates, we found that abdominal obesity, low HDL cholesterol, and elevated blood pressure were associated with 15\% (95\% CI 4.3-26.7), 16\% (1.7-31.8), and 20\% (10.1-31.7) higher costs, respectively. When added to the model, the metabolic syndrome composite variable did not contribute significantly (P = 0.32).

CONCLUSIONS: Abdominal obesity, low HDL cholesterol, and hypertension but not the metabolic syndrome per se are important predictors of long-term costs in the Medicare population.

}, keywords = {Aged, Aged, 80 and over, Cholesterol, HDL, Continental Population Groups, Cost of Illness, Diabetic Angiopathies, Female, Humans, Hypertension, Interviews as Topic, Male, Medicare, Metabolic Syndrome, Multivariate Analysis, Obesity, Patient Education as Topic, Prospective Studies, Regression Analysis, United States}, issn = {1935-5548}, doi = {10.2337/dc07-0460}, author = {Curtis, Lesley H and Hammill, Bradley G and Bethel, M Angelyn and Anstrom, Kevin J and Gottdiener, John S and Schulman, Kevin A} } @article {1022, title = {Distribution and correlates of lipoprotein-associated phospholipase A2 in an elderly cohort: the Cardiovascular Health Study.}, journal = {J Am Geriatr Soc}, volume = {56}, year = {2008}, month = {2008 May}, pages = {792-9}, abstract = {

OBJECTIVES: To determine whether high levels of lipoprotein-associated phospholipase A(2) (Lp-PLA(2)) are associated with prevalent cardiovascular disease (CVD) and to evaluate factors most influencing Lp-PLA(2) levels in a community-based cohort of older adults.

DESIGN: Cross-sectional.

SETTING: The Cardiovascular Health Study (CHS), a population-based cohort study of men and women aged 65 and older.

PARTICIPANTS: Five thousand five hundred thirty-one CHS participants.

MEASUREMENTS: Levels of Lp-PLA(2) activity were determined using stored blood samples from the baseline examination.

RESULTS: Mean Lp-PLA(2) was higher in participants with electrocardiographically determined ventricular conduction defect and major Q-wave abnormality and was positively correlated with left ventricular (LV) mass. It was high in those with echocardiographically determined abnormal LV ejection fraction, which persisted after adjustment. Mean Lp-PLA(2) was also higher in participants with mild renal insufficiency and kidney disease. After multivariable adjustment, there was a modest but significant 27\% greater risk of prevalent CHF per standard deviation increment of Lp-PLA(2) and a modest but significant 12\% greater risk of prevalent myocardial infarction. Lp-PLA(2) was weakly but mainly most strongly correlated with cholesterol and lipoproteins, but those correlations were not especially strong. Lp-PLA(2) was weakly positively correlated with soluble intercellular adhesion molecule-1 but not interleukin-6. In total, all factors considered could explain only 29\% of Lp-PLA(2) activity.

CONCLUSION: Novel findings in the study are the associations, in those aged 65 and older, between Lp-PLA(2) activity and LV dysfunction, CHF, and renal disease. CVD risk factors only minimally explain levels of Lp-PLA(2).

}, keywords = {1-Alkyl-2-acetylglycerophosphocholine Esterase, Aged, Atherosclerosis, Body Mass Index, Cardiac Output, Low, Cardiovascular Diseases, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Cross-Sectional Studies, Electrocardiography, Female, Heart Failure, Humans, Hypertrophy, Left Ventricular, Long QT Syndrome, Male, Reference Values, Renal Insufficiency, Risk Factors, Statistics as Topic, Triglycerides}, issn = {1532-5415}, doi = {10.1111/j.1532-5415.2008.01667.x}, author = {Furberg, Curt D and Nelson, Jeanenne J and Solomon, Cam and Cushman, Mary and Jenny, Nancy Swords and Psaty, Bruce M} } @article {1040, title = {High-density lipoprotein cholesterol and venous thromboembolism in the Longitudinal Investigation of Thromboembolism Etiology (LITE).}, journal = {Blood}, volume = {112}, year = {2008}, month = {2008 Oct 01}, pages = {2675-80}, abstract = {

We determined prospectively the risk of venous thromboembolism (VTE) in relation to baseline high-density lipoprotein cholesterol (HDL-c) in 19 049 participants of the Longitudinal Investigation of Thromboembolism Etiology (LITE), which was composed of 14 490 participants of the Atherosclerosis Risk in Communities (ARIC) study and 4559 participants of the Cardiovascular Health Study (CHS). In addition, we determined the risk of VTE in relation to baseline subfractions of HDL (HDL(2) and HDL(3)) and apolipoprotein A-I (apoA-I) in 14 488 participants of the ARIC study. Age-adjusted incidence rates of VTE by HDL-c quartile ranged from 1.64 to 1.91 per 1000 person-years in men and 1.40 to 1.94 per 1000 person-years in women; however, there was no apparent trend of VTE incidence across HDL-c quartiles for either sex. The multivariate adjusted hazard ratios of VTE by HDL-c quartiles (with quartile 4 as the reference) were nonsignificant for both sexes and ranged between 0.91 and 0.99 for men and 0.78 and 1.22 for women. Results did not differ in separate evaluations of idiopathic and secondary VTE. In the ARIC study, there was no trend of VTE hazard ratios across quartiles of HDL(2), HDL(3), or apoA-I. Low HDL-c does not appear to be an important VTE risk factor.

}, keywords = {Aged, Apolipoprotein A-I, Cholesterol, HDL, Female, Humans, Incidence, Longitudinal Studies, Male, Middle Aged, Proportional Hazards Models, United States, Venous Thromboembolism}, issn = {1528-0020}, doi = {10.1182/blood-2008-05-157412}, author = {Chamberlain, Alanna M and Folsom, Aaron R and Heckbert, Susan R and Rosamond, Wayne D and Cushman, Mary} } @article {1126, title = {Association of genetic variation in serum amyloid-A with cardiovascular disease and interactions with IL6, IL1RN, IL1beta and TNF genes in the Cardiovascular Health Study.}, journal = {J Atheroscler Thromb}, volume = {16}, year = {2009}, month = {2009 Aug}, pages = {419-30}, abstract = {

AIM: Since inflammation is an important contributor to atherosclerosis, gene variants mediating inflammation are of interest. We investigated gene variants in acute phase serum amyloid-A (SAA), a sensitive indicator of inflammatory activity, and their associations with cardiovascular disease (CVD) and HDL cholesterol. Interaction of the SAA genes with genetic variants of their regulators, IL-1, IL-6 and TNF-alpha in influencing CVD was also explored.

METHODS: SNPs characterizing common variation in the SAA1 and SAA2 genes were genotyped in European-(EA) and African-American (AA) participants (n=3969 and n=719) of the Cardiovascular Health Study. Using linear and Cox proportional hazards regression, we assessed associations of SNPs with baseline carotid artery intima-media thickness (cIMT) and risk of incident myocardial infarction, ischemic stroke, total CVD events or mortality during 14 years of follow-up.

RESULTS: No associations between SAA SNPs and outcomes were observed in EA, with the exception of total CVD events; each rs4638289 minor allele was associated with an increased risk in obese individuals, HR=1.2 (95\%CI: 0.981.4; p=0.086) and decreased risk among non-obese, HR=0.9 (95\%CI: 0.80.99; p=0.026). In AA, we observed modest associations between SAA SNPs and cIMT, potentially modified by HDL. SAA SNPs were also associated with lower HDL in EA and AA. Suggestive gene-gene interaction findings for cIMT in AA and CVD mortality in EA were not significant in subsequent model selection tests.

CONCLUSION: Associations of SAA SNPs with cIMT, HDL and total CVD events were identified, unadjusted for multiple testing. These findings should be regarded as hypothesis-generating until confirmed by other studies.

}, keywords = {Aged, Cardiovascular Diseases, Cholesterol, HDL, Cytokines, Female, Gene Regulatory Networks, Humans, Inflammation Mediators, Interleukin 1 Receptor Antagonist Protein, Interleukin-1beta, Interleukin-6, Male, Polymorphism, Single Nucleotide, Proportional Hazards Models, Serum Amyloid A Protein, Tumor Necrosis Factor-alpha, Tunica Intima}, issn = {1880-3873}, author = {Carty, Cara L and Heagerty, Patrick and Heckbert, Susan R and Enquobahrie, Daniel A and Jarvik, Gail P and Davis, Scott and Tracy, Russell P and Reiner, Alexander P} } @article {1061, title = {Change in cardiovascular risk factors with progression of kidney disease.}, journal = {Am J Nephrol}, volume = {29}, year = {2009}, month = {2009}, pages = {334-41}, abstract = {

BACKGROUND: Prior studies evaluating the relationship of kidney disease with cardiovascular risk factors have been limited by their cross-sectional design. We evaluated the change in lipids, inflammatory and procoagulant biomarkers with decline in kidney function in a nested case-cohort study in the Cardiovascular Health Study, a community-based study of adults aged >65 years.

METHODS: Individuals with an increase in serum creatinine >or=0.3 mg/dl (baseline to 3 years later, n = 207) were matched to controls of similar age, race, gender, diabetes and baseline serum creatinine, but whose change in creatinine was <0.3 mg/dl. Baseline and change in risk factors were analyzed with conditional logistic regression.

RESULTS: Changes in C-reactive protein were similar. In contrast, cases had larger increases in fibrinogen (OR 1.38 per standard deviation, 95\% confidence interval 1.08-1.76) and factor VIII [1.38 (1.10-1.72)] and larger decreases in HDL [OR 0.80 (0.64, 1.00)]. Change in interleukin-6 was greater in cases than controls, but this did not persist after multivariate adjustment. However, in linear regression, change in interleukin-6 was correlated with change in creatinine.

CONCLUSION: Cardiovascular risk factors and kidney function may change concurrently. This could lead to an increased risk of cardiovascular disease as kidney function worsens.

}, keywords = {Aged, Aged, 80 and over, Biomarkers, C-Reactive Protein, Cholesterol, HDL, Creatinine, Diabetes Mellitus, Factor VIII, Female, Follow-Up Studies, Humans, Hypertension, Renal, Interleukin-6, Logistic Models, Male, Prevalence, Renal Insufficiency, Chronic, Risk Factors, Vasculitis}, issn = {1421-9670}, doi = {10.1159/000166598}, author = {Fried, Linda F and Katz, Ronit and Cushman, Mary and Sarnak, Mark and Shlipak, Michael G and Kuller, Lewis and Newman, Anne B} } @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 {1188, title = {Candidate gene association resource (CARe): design, methods, and proof of concept.}, journal = {Circ Cardiovasc Genet}, volume = {3}, year = {2010}, month = {2010 Jun}, pages = {267-75}, abstract = {

BACKGROUND: The National Heart, Lung, and Blood Institute{\textquoteright}s Candidate Gene Association Resource (CARe), a planned cross-cohort analysis of genetic variation in cardiovascular, pulmonary, hematologic, and sleep-related traits, comprises >40,000 participants representing 4 ethnic groups in 9 community-based cohorts. The goals of CARe include the discovery of new variants associated with traits using a candidate gene approach and the discovery of new variants using the genome-wide association mapping approach specifically in African Americans.

METHODS AND RESULTS: CARe has assembled DNA samples for >40,000 individuals self-identified as European American, African American, Hispanic, or Chinese American, with accompanying data on hundreds of phenotypes that have been standardized and deposited in the CARe Phenotype Database. All participants were genotyped for 7 single-nucleotide polymorphisms (SNPs) selected based on prior association evidence. We performed association analyses relating each of these SNPs to lipid traits, stratified by sex and ethnicity, and adjusted for age and age squared. In at least 2 of the ethnic groups, SNPs near CETP, LIPC, and LPL strongly replicated for association with high-density lipoprotein cholesterol concentrations, PCSK9 with low-density lipoprotein cholesterol levels, and LPL and APOA5 with serum triglycerides. Notably, some SNPs showed varying effect sizes and significance of association in different ethnic groups.

CONCLUSIONS: The CARe Pilot Study validates the operational framework for phenotype collection, SNP genotyping, and analytic pipeline of the CARe project and validates the planned candidate gene study of approximately 2000 biological candidate loci in all participants and genome-wide association study in approximately 8000 African American participants. CARe will serve as a valuable resource for the scientific community.

}, keywords = {African Americans, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Databases, Genetic, European Continental Ancestry Group, Genetic Association Studies, Genotype, Humans, Phenotype, Pilot Projects, Polymorphism, Single Nucleotide, Research Design, Triglycerides}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.109.882696}, author = {Musunuru, Kiran and Lettre, Guillaume and Young, Taylor and Farlow, Deborah N and Pirruccello, James P and Ejebe, Kenechi G and Keating, Brendan J and Yang, Qiong and Chen, Ming-Huei and Lapchyk, Nina and Crenshaw, Andrew and Ziaugra, Liuda and Rachupka, Anthony and Benjamin, Emelia J and Cupples, L Adrienne and Fornage, Myriam and Fox, Ervin R and Heckbert, Susan R and Hirschhorn, Joel N and Newton-Cheh, Christopher and Nizzari, Marcia M and Paltoo, Dina N and Papanicolaou, George J and Patel, Sanjay R and Psaty, Bruce M and Rader, Daniel J and Redline, Susan and Rich, Stephen S and Rotter, Jerome I and Taylor, Herman A and Tracy, Russell P and Vasan, Ramachandran S and Wilson, James G and Kathiresan, Sekar and Fabsitz, Richard R and Boerwinkle, Eric and Gabriel, Stacey B} } @article {1238, title = {Circulating palmitoleic acid and risk of metabolic abnormalities and new-onset diabetes.}, journal = {Am J Clin Nutr}, volume = {92}, year = {2010}, month = {2010 Dec}, pages = {1350-8}, abstract = {

BACKGROUND: Animal experiments suggest that circulating palmitoleic acid (cis-16:1n-7) from adipocyte de novo fatty acid synthesis may directly regulate insulin resistance and metabolic dysregulation.

OBJECTIVE: We investigated the independent determinants of circulating palmitoleate in free-living humans and whether palmitoleate is related to lower metabolic risk and the incidence of diabetes.

DESIGN: In a prospective cohort of 3630 US men and women in the Cardiovascular Health Study, plasma phospholipid fatty acids, anthropometric variables, blood lipids, inflammatory markers, and glucose and insulin concentrations were measured between 1992 and 2006 by using standardized methods. Independent determinants of plasma phospholipid palmitoleate and relations of palmitoleate with metabolic risk factors were investigated by using multivariable-adjusted linear regression. Relations with incident diabetes (296 incident cases) were investigated by using Cox proportional hazards.

RESULTS: The mean ({\textpm} SD) palmitoleate value was 0.49 {\textpm} 0.20\% (range: 0.11-2.55\%) of total fatty acids. Greater body mass index, carbohydrate intake, protein intake, and alcohol use were each independent lifestyle correlates of higher palmitoleate concentrations. In multivariable analyses that adjusted for these factors and other potential confounders, higher palmitoleate concentrations were independently associated with lower LDL cholesterol (P < 0.001), higher HDL cholesterol (P < 0.001), lower total:HDL-cholesterol ratio (P = 0.04), and lower fibrinogen (P < 0.001). However, palmitoleate was also associated with higher triglycerides (P < 0.001) and (in men only) with greater insulin resistance (P < 0.001). Palmitoleate was not significantly associated with incident diabetes.

CONCLUSIONS: Adiposity (energy imbalance), carbohydrate consumption, and alcohol use-even within typical ranges-are associated with higher circulating palmitoleate concentrations. Circulating palmitoleate is robustly associated with multiple metabolic risk factors but in mixed directions, perhaps related to divergent lifestyle determinants or endogenous sources (liver, adipose tissue) of fatty acid synthesis.

}, keywords = {Aged, Aged, 80 and over, Alcohol Drinking, Body Mass Index, Cholesterol, Cholesterol, HDL, Diabetes Mellitus, Diet, Dietary Carbohydrates, Fatty Acids, Monounsaturated, Female, Fibrinogen, Humans, Insulin Resistance, Life Style, Lipids, Male, Proportional Hazards Models, Prospective Studies, Risk Factors, Sex Factors, Triglycerides}, issn = {1938-3207}, doi = {10.3945/ajcn.110.003970}, author = {Mozaffarian, Dariush and Cao, Haiming and King, Irena B and Lemaitre, Rozenn N and Song, Xiaoling and Siscovick, David S and Hotamisligil, G{\"o}khan S} } @article {1145, title = {Combined association of lipids and blood pressure in relation to incident cardiovascular disease in the elderly: the cardiovascular health study.}, journal = {Am J Hypertens}, volume = {23}, year = {2010}, month = {2010 Feb}, pages = {161-7}, abstract = {

BACKGROUND: Hypertension and dyslipidemia are highly prevalent in the elderly. We studied the combined impact of both conditions on cardiovascular disease (CVD) events.

METHODS: We studied 4,311 participants aged 65-98 (61.2\% female) from the Cardiovascular Health Study (CHS), a longitudinal epidemiologic study, with no prior CVD. We evaluated the relation of low-density lipoprotein (LDL), high-density lipoprotein (HDL), or non-HDL-cholesterol combined with blood pressure (BP) categories to incident CVD-including coronary heart disease (CHD) (angina, myocardial infarction (MI), angioplasty, coronary bypass surgery, or CHD death), stroke, claudication, and CVD death over 15 years.

RESULTS: CVD incidence (per 1,000 person years) ranged from 38.4 when BP <120/80 mm Hg and LDL-C <100 mg/dl to 94.8 when BP >or=160/100 mm Hg and LDL-C >or=160 mg/dl, and from 28.9 when BP <120/80 mm Hg and HDL >60 mg/dl to 87.1 for a BP >or=160/100 and HDL-C <40 mg/dl. Compared with those with BP <120/80 mm Hg with either LDL-C <100 mg/dl or HDL-C >60 mg/dl, hazard ratios (HRs) for CVD events were 2.1 when BP >or=160/100 mm Hg and LDL-C >or=160 mg/dl and 2.1 when BP >or=160/100 and HDL-C <40 mg/dl (all P < 0.01), with similar results for non-HDL-C. Elevated BP was associated with increased risk across all lipid levels. Increased LDL-C added risk mainly when BP <140/90 mm Hg, but lower HDL-C also predicted CVD in those with higher BP.

CONCLUSION: Increased BP confers increased risks for CVD in elderly persons across all lipid levels. Although increased LDL-C added risk mainly when BP <140/90 mm Hg, low HDL-C added risk also in those with hypertension. These results document the importance of combined hypertension and dyslipidemia.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Blood Pressure, Cardiovascular Diseases, Cholesterol, HDL, Cholesterol, LDL, Diabetes Mellitus, Female, Health Surveys, Humans, Likelihood Functions, Lipids, Male, Proportional Hazards Models, Sex Factors, Smoking, Socioeconomic Factors, United States}, issn = {1941-7225}, doi = {10.1038/ajh.2009.216}, author = {Wong, Nathan D and Lopez, Victor A and Roberts, Craig S and Solomon, Henry A and Burke, Gregory L and Kuller, Lewis and Tracy, Russell and Yanez, David and Psaty, Bruce M} } @article {1257, title = {Trans-palmitoleic acid, metabolic risk factors, and new-onset diabetes in U.S. adults: a cohort study.}, journal = {Ann Intern Med}, volume = {153}, year = {2010}, month = {2010 Dec 21}, pages = {790-9}, abstract = {

BACKGROUND: Palmitoleic acid (cis-16:1n-7), which is produced by endogenous fat synthesis, has been linked to both beneficial and deleterious metabolic effects, potentially confounded by diverse determinants and tissue sources of endogenous production. Trans-palmitoleate (trans-16:1n-7) represents a distinctly exogenous source of 16:1n-7, unconfounded by endogenous synthesis or its determinants, that may be uniquely informative.

OBJECTIVE: To investigate whether circulating trans-palmitoleate is independently related to lower metabolic risk and incident type 2 diabetes.

DESIGN: Prospective cohort study from 1992 to 2006.

SETTING: Four U.S. communities.

PATIENTS: 3736 adults in the Cardiovascular Health Study.

MEASUREMENTS: Anthropometric characteristics and levels of plasma phospholipid fatty acids, blood lipids, inflammatory markers, and glucose-insulin measured at baseline in 1992 and dietary habits measured 3 years earlier. Multivariate-adjusted models were used to investigate how demographic, clinical, and lifestyle factors independently related to plasma phospholipid trans-palmitoleate; how trans-palmitoleate related to major metabolic risk factors; and how trans-palmitoleate related to new-onset diabetes (304 incident cases). Findings were validated for metabolic risk factors in an independent cohort of 327 women.

RESULTS: In multivariate analyses, whole-fat dairy consumption was most strongly associated with higher trans-palmitoleate levels. Higher trans-palmitoleate levels were associated with slightly lower adiposity and, independently, with higher high-density lipoprotein cholesterol levels (1.9\% across quintiles; P = 0.040), lower triglyceride levels (-19.0\%; P < 0.001), a lower total cholesterol-HDL cholesterol ratio (-4.7\%; P < 0.001), lower C-reactive protein levels (-13.8\%; P = 0.05), and lower insulin resistance (-16.7\%, P < 0.001). Trans-palmitoleate was also associated with a substantially lower incidence of diabetes, with multivariate hazard ratios of 0.41 (95\% CI, 0.27 to 0.64) and 0.38 (CI, 0.24 to 0.62) in quintiles 4 and 5 versus quintile 1 (P for trend < 0.001). Findings were independent of estimated dairy consumption or other fatty acid dairy biomarkers. Protective associations with metabolic risk factors were confirmed in the validation cohort.

LIMITATION: Results could be affected by measurement error or residual confounding.

CONCLUSION: Circulating trans-palmitoleate is associated with lower insulin resistance, presence of atherogenic dyslipidemia, and incident diabetes. Our findings may explain previously observed metabolic benefits of dairy consumption and support the need for detailed further experimental and clinical investigation.

PRIMARY FUNDING SOURCE: National Heart, Lung, and Blood Institute and National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health.

}, keywords = {Adiposity, Aged, C-Reactive Protein, Cholesterol, Cholesterol, HDL, Dairy Products, Diabetes Mellitus, Type 2, Fatty Acids, Monounsaturated, Feeding Behavior, Female, Humans, Incidence, Insulin Resistance, Male, Prospective Studies, Risk Factors, Triglycerides, United States}, issn = {1539-3704}, doi = {10.7326/0003-4819-153-12-201012210-00005}, author = {Mozaffarian, Dariush and Cao, Haiming and King, Irena B and Lemaitre, Rozenn N and Song, Xiaoling and Siscovick, David S and Hotamisligil, G{\"o}khan S} } @article {1563, title = {Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies.}, journal = {Lancet}, volume = {377}, year = {2011}, month = {2011 Mar 26}, pages = {1085-95}, abstract = {

BACKGROUND: Guidelines differ about the value of assessment of adiposity measures for cardiovascular disease risk prediction when information is available for other risk factors. We studied the separate and combined associations of body-mass index (BMI), waist circumference, and waist-to-hip ratio with risk of first-onset cardiovascular disease.

METHODS: We used individual records from 58 cohorts to calculate hazard ratios (HRs) per 1 SD higher baseline values (4.56 kg/m(2) higher BMI, 12.6 cm higher waist circumference, and 0.083 higher waist-to-hip ratio) and measures of risk discrimination and reclassification. Serial adiposity assessments were used to calculate regression dilution ratios.

RESULTS: Individual records were available for 221,934 people in 17 countries (14,297 incident cardiovascular disease outcomes; 1.87 million person-years at risk). Serial adiposity assessments were made in up to 63,821 people (mean interval 5.7 years [SD 3.9]). In people with BMI of 20 kg/m(2) or higher, HRs for cardiovascular disease were 1.23 (95\% CI 1.17-1.29) with BMI, 1.27 (1.20-1.33) with waist circumference, and 1.25 (1.19-1.31) with waist-to-hip ratio, after adjustment for age, sex, and smoking status. After further adjustment for baseline systolic blood pressure, history of diabetes, and total and HDL cholesterol, corresponding HRs were 1.07 (1.03-1.11) with BMI, 1.10 (1.05-1.14) with waist circumference, and 1.12 (1.08-1.15) with waist-to-hip ratio. Addition of information on BMI, waist circumference, or waist-to-hip ratio to a cardiovascular disease risk prediction model containing conventional risk factors did not importantly improve risk discrimination (C-index changes of -0.0001, -0.0001, and 0.0008, respectively), nor classification of participants to categories of predicted 10-year risk (net reclassification improvement -0.19\%, -0.05\%, and -0.05\%, respectively). Findings were similar when adiposity measures were considered in combination. Reproducibility was greater for BMI (regression dilution ratio 0.95, 95\% CI 0.93-0.97) than for waist circumference (0.86, 0.83-0.89) or waist-to-hip ratio (0.63, 0.57-0.70).

INTERPRETATION: BMI, waist circumference, and waist-to-hip ratio, whether assessed singly or in combination, do not importantly improve cardiovascular disease risk prediction in people in developed countries when additional information is available for systolic blood pressure, history of diabetes, and lipids.

FUNDING: British Heart Foundation and UK Medical Research Council.

}, keywords = {Age Factors, Blood Pressure, Body Mass Index, Cardiovascular Diseases, Cholesterol, Cholesterol, HDL, Diabetes Mellitus, Female, Humans, Male, Middle Aged, Obesity, Abdominal, Proportional Hazards Models, Prospective Studies, Risk Assessment, Sex Factors, Smoking, Systole, Waist Circumference, Waist-Hip Ratio}, issn = {1474-547X}, doi = {10.1016/S0140-6736(11)60105-0}, author = {Wormser, David and Kaptoge, Stephen and Di Angelantonio, Emanuele and Wood, Angela M and Pennells, Lisa and Thompson, Alex and Sarwar, Nadeem and Kizer, Jorge R and Lawlor, Debbie A and Nordestgaard, B{\o}rge G and Ridker, Paul and Salomaa, Veikko and Stevens, June and Woodward, Mark and Sattar, Naveed and Collins, Rory and Thompson, Simon G and Whitlock, Gary and Danesh, John} } @article {1371, title = {Associations between incident ischemic stroke events and stroke and cardiovascular disease-related genome-wide association studies single nucleotide polymorphisms in the Population Architecture Using Genomics and Epidemiology study.}, journal = {Circ Cardiovasc Genet}, volume = {5}, year = {2012}, month = {2012 Apr 01}, pages = {210-6}, abstract = {

BACKGROUND: Genome-wide association studies (GWAS) have identified loci associated with ischemic stroke (IS) and cardiovascular disease (CVD) in European-descent individuals, but their replication in different populations has been largely unexplored.

METHODS AND RESULTS: Nine single nucleotide polymorphisms (SNPs) selected from GWAS and meta-analyses of stroke, and 86 SNPs previously associated with myocardial infarction and CVD risk factors, including blood lipids (high density lipoprotein [HDL], low density lipoprotein [LDL], and triglycerides), type 2 diabetes, and body mass index (BMI), were investigated for associations with incident IS in European Americans (EA) N=26 276, African-Americans (AA) N=8970, and American Indians (AI) N=3570 from the Population Architecture using Genomics and Epidemiology Study. Ancestry-specific fixed effects meta-analysis with inverse variance weighting was used to combine study-specific log hazard ratios from Cox proportional hazards models. Two of 9 stroke SNPs (rs783396 and rs1804689) were significantly associated with [corrected] IS hazard in AA; none were significant in this large EA cohort. Of 73 CVD risk factor SNPs tested in EA, 2 (HDL and triglycerides SNPs) were associated with IS. In AA, SNPs associated with LDL, HDL, and BMI were significantly associated with IS (3 of 86 SNPs tested). Out of 58 SNPs tested in AI, 1 LDL SNP was significantly associated with IS.

CONCLUSIONS: Our analyses showing lack of replication in spite of reasonable power for many stroke SNPs and differing results by ancestry highlight the need to follow up on GWAS findings and conduct genetic association studies in diverse populations. We found modest IS associations with BMI and lipids SNPs, though these findings require confirmation.

}, keywords = {Aged, Aged, 80 and over, Cardiovascular Diseases, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Female, Genetics, Population, Genome-Wide Association Study, Genomics, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors, Stroke, Triglycerides}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.962191}, author = {Carty, Cara L and B{\r u}zkov{\'a}, Petra and Fornage, Myriam and Franceschini, Nora and Cole, Shelley and Heiss, Gerardo and Hindorff, Lucia A and Howard, Barbara V and Mann, Sue and Martin, Lisa W and Zhang, Ying and Matise, Tara C and Prentice, Ross and Reiner, Alexander P and Kooperberg, Charles} } @article {6634, title = {Evaluation of the metabochip genotyping array in African Americans and implications for fine mapping of GWAS-identified loci: the PAGE study.}, journal = {PLoS One}, volume = {7}, year = {2012}, month = {2012}, pages = {e35651}, abstract = {

The Metabochip is a custom genotyping array designed for replication and fine mapping of metabolic, cardiovascular, and anthropometric trait loci and includes low frequency variation content identified from the 1000 Genomes Project. It has 196,725 SNPs concentrated in 257 genomic regions. We evaluated the Metabochip in 5,863 African Americans; 89\% of all SNPs passed rigorous quality control with a call rate of 99.9\%. Two examples illustrate the value of fine mapping with the Metabochip in African-ancestry populations. At CELSR2/PSRC1/SORT1, we found the strongest associated SNP for LDL-C to be rs12740374 (p = 3.5 {\texttimes} 10(-11)), a SNP indistinguishable from multiple SNPs in European ancestry samples due to high correlation. Its distinct signal supports functional studies elsewhere suggesting a causal role in LDL-C. At CETP we found rs17231520, with risk allele frequency 0.07 in African Americans, to be associated with HDL-C (p = 7.2 {\texttimes} 10(-36)). This variant is very rare in Europeans and not tagged in common GWAS arrays, but was identified as associated with HDL-C in African Americans in a single-gene study. Our results, one narrowing the risk interval and the other revealing an associated variant not found in Europeans, demonstrate the advantages of high-density genotyping of common and rare variation for fine mapping of trait loci in African American samples.

}, keywords = {African Americans, Cardiovascular Diseases, Cholesterol Ester Transfer Proteins, Cholesterol, HDL, Cholesterol, LDL, Chromosomes, Human, Cohort Studies, Gene Frequency, Genome-Wide Association Study, Genotype, Humans, Metabolic Diseases, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1932-6203}, doi = {10.1371/journal.pone.0035651}, author = {Buyske, Steven and Wu, Ying and Carty, Cara L and Cheng, Iona and Assimes, Themistocles L and Dumitrescu, Logan and Hindorff, Lucia A and Mitchell, Sabrina and Ambite, Jose Luis and Boerwinkle, Eric and B{\r u}zkov{\'a}, Petra and Carlson, Chris S and Cochran, Barbara and Duggan, David and Eaton, Charles B and Fesinmeyer, Megan D and Franceschini, Nora and Haessler, Jeffrey and Jenny, Nancy and Kang, Hyun Min and Kooperberg, Charles and Lin, Yi and Le Marchand, Lo{\"\i}c and Matise, Tara C and Robinson, Jennifer G and Rodriguez, Carlos and Schumacher, Fredrick R and Voight, Benjamin F and Young, Alicia and Manolio, Teri A and Mohlke, Karen L and Haiman, Christopher A and Peters, Ulrike and Crawford, Dana C and North, Kari E} } @article {1372, title = {Insulin resistance, cystatin C, and mortality among older adults.}, journal = {Diabetes Care}, volume = {35}, year = {2012}, month = {2012 Jun}, pages = {1355-60}, abstract = {

OBJECTIVE: Insulin resistance is a risk factor for cardiovascular and noncardiovascular diseases. Impaired kidney function is linked with insulin resistance and may affect relationships of insulin resistance with health outcomes.

RESEARCH DESIGN AND METHODS: We performed a cohort study of 3,138 Cardiovascular Health Study participants (age >= 65 years) without diabetes. Insulin sensitivity index (ISI) was calculated from fasting and 2-h postload insulin and glucose concentrations. Associations of ISI and fasting insulin concentration with all-cause mortality were tested using Cox proportional hazards models, adjusting for demographic variables, prevalent cardiovascular disease, lifestyle variables, waist circumference, and LDL cholesterol. Subsequent models were additionally adjusted for or stratified by glomerular filtration rate estimated using serum cystatin C (eGFR).

RESULTS: A total of 1,810 participants died during the 14.7-year median follow-up. Compared with the highest quartile of ISI, the lowest quartile (most insulin resistant) was associated with 21\% (95\% CI 6-41) and 11\% (-3 to 29) higher risks of death without and with adjustment for eGFR, respectively. Compared with the lowest quartile of fasting insulin concentration, the highest quartile was associated with 22\% (4-43) and 4\% (-12 to 22) higher risks of death without and with adjustment for eGFR, respectively. Similar attenuation by eGFR was observed when blood pressure, triglycerides, HDL cholesterol, and C-reactive protein were included in models.

CONCLUSIONS: Insulin resistance measured as ISI or fasting insulin concentration is associated with increased risk of death among older adults, adjusting for conventional confounding characteristics. Impaired kidney function may mediate or confound this relationship.

}, keywords = {Aged, Aged, 80 and over, Blood Glucose, Blood Pressure, C-Reactive Protein, Cardiovascular Diseases, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Cystatin C, Fasting, Female, Glomerular Filtration Rate, Humans, Insulin Resistance, Life Style, Male, Mortality, Predictive Value of Tests, Proportional Hazards Models, Renal Insufficiency, Risk Factors, Triglycerides, Waist Circumference}, issn = {1935-5548}, doi = {10.2337/dc11-1657}, author = {de Boer, Ian H and Katz, Ronit and Chonchol, Michel B and Fried, Linda F and Ix, Joachim H and Kestenbaum, Bryan and Mukamal, Kenneth J and Peralta, Carmen A and Siscovick, David 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 {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 {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 {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 {6167, title = {Impact of inflammatory biomarkers on relation of high density lipoprotein-cholesterol with incident coronary heart disease: cardiovascular Health Study.}, journal = {Atherosclerosis}, volume = {231}, year = {2013}, month = {2013 Dec}, pages = {246-51}, abstract = {

BACKGROUND: Inflammatory factors and low HDL-C relate to CHD risk, but whether inflammation attenuates any protective association of high HDL-C is unknown.

OBJECTIVE: Investigate inflammatory markers{\textquoteright} individual and collective impact on the association of HDL-C with incident coronary heart disease (CHD).

METHODS: In 3888 older adults without known cardiovascular disease (CVD), we examined if the inflammatory markers C-reactive protein (CRP), interleukin-6 (IL-6), and lipoprotein-associated phospholipase A2 (Lp-PLA$_{2}$) modify the relation of HDL-C with CHD. HDL-C, CRP, IL-6, and Lp-PLA$_{2}$ values were grouped as using gender-specific tertiles. Also, an inflammation index of z-score sums for CRP, IL-6, and Lp-PLA$_{2}$ was categorized into tertiles. We calculated CHD incidence for each HDL-C/inflammation group and performed Cox regression, adjusted for standard CVD risk factors and triglycerides to examine the relationship of combined HDL-C-inflammation groups with incident events.

RESULTS: CHD incidence (per 1000 person years) was higher for higher levels of CRP, IL-6, and the index, and lower for higher levels of HDL-C. Compared to high HDL-C/low-inflammation categories (referent), adjusted HRs for incident CHD were increased for those with high HDL-C and high CRP (HR = 1.50, p < 0.01) or highest IL-6 tertile (HR = 1.40, p < 0.05), but not with highest Lp-PLA$_{2}$ tertile. Higher CHD incidence was similarly seen for those with intermediate or low HDL-C accompanied by high CRP, high IL-6, or a high inflammatory index.

CONCLUSION: The protective relation of high HDL-C for incident CHD appears to be attenuated by greater inflammation.

}, keywords = {1-Alkyl-2-acetylglycerophosphocholine Esterase, African Americans, Aged, Biomarkers, C-Reactive Protein, Cardiovascular Diseases, Cholesterol, HDL, Coronary Disease, European Continental Ancestry Group, Female, Humans, Incidence, Inflammation, Interleukin-6, Male, Middle Aged, Proportional Hazards Models, Prospective Studies, Risk Factors}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2013.08.036}, author = {Tehrani, David M and Gardin, Julius M and Yanez, David and Hirsch, Calvin H and Lloyd-Jones, Donald M and Stein, Phyllis K and Wong, Nathan D} } @article {6292, title = {No evidence of interaction between known lipid-associated genetic variants and smoking in the multi-ethnic PAGE population.}, journal = {Hum Genet}, volume = {132}, year = {2013}, month = {2013 Dec}, pages = {1427-31}, abstract = {

Genome-wide association studies (GWAS) have identified many variants that influence high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and/or triglycerides. However, environmental modifiers, such as smoking, of these known genotype-phenotype associations are just recently emerging in the literature. We have tested for interactions between smoking and 49 GWAS-identified variants in over 41,000 racially/ethnically diverse samples with lipid levels from the Population Architecture Using Genomics and Epidemiology (PAGE) study. Despite their biological plausibility, we were unable to detect significant SNP {\texttimes} smoking interactions.

}, keywords = {Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Ethnic Groups, Female, Gene Frequency, Gene-Environment Interaction, Genetics, Population, Genome-Wide Association Study, Humans, Lipid Metabolism, Male, Polymorphism, Single Nucleotide, Prevalence, Smoking, Triglycerides, Young Adult}, issn = {1432-1203}, doi = {10.1007/s00439-013-1375-3}, author = {Dumitrescu, Logan and Carty, Cara L and Franceschini, Nora and Hindorff, Lucia A and Cole, Shelley A and B{\r u}zkov{\'a}, Petra and Schumacher, Fredrick R and Eaton, Charles B and Goodloe, Robert J and Duggan, David J and Haessler, Jeff and Cochran, Barbara and Henderson, Brian E and Cheng, Iona and Johnson, Karen C and Carlson, Chris S and Love, Shelly-Anne and Brown-Gentry, Kristin and Nato, Alejandro Q and Quibrera, Miguel and Shohet, Ralph V and Ambite, Jose Luis and Wilkens, Lynne R and Le Marchand, Lo{\"\i}c and Haiman, Christopher A and Buyske, Steven and Kooperberg, Charles and North, Kari E and Fornage, Myriam and Crawford, Dana C} } @article {5859, title = {Prediction and classification of cardiovascular disease risk in older adults with diabetes.}, journal = {Diabetologia}, volume = {56}, year = {2013}, month = {2013 Feb}, pages = {275-83}, abstract = {

AIMS/HYPOTHESIS: We sought to derive and validate a cardiovascular disease (CVD) prediction algorithm for older adults with diabetes, and evaluate the incremental benefit of adding novel circulating biomarkers and measures of subclinical atherosclerosis.

METHODS: As part of the Cardiovascular Health Study (CHS), a population-based cohort of adults aged >=65~years, we examined the 10~year risk of myocardial infarction, stroke and cardiovascular death in 782 older adults with diabetes, in whom 265 events occurred. We validated predictive models in 843 adults with diabetes, who were followed for 7~years in a second cohort, the Multi-Ethnic Study of Atherosclerosis (MESA); here 71 events occurred.

RESULTS: The best fitting standard model included age, smoking, systolic blood pressure, total and HDL-cholesterol, creatinine and the use of glucose-lowering agents; however, this model had a C statistic of 0.64 and poorly classified risk in men. Novel biomarkers did not improve discrimination or classification. The addition of ankle-brachial index, electrocardiographic left ventricular hypertrophy and internal carotid intima-media thickness modestly improved discrimination (C statistic 0.68; p = 0.002) and classification (net reclassification improvement [NRI] 0.12; p = 0.01), mainly in those remaining free of CVD. Results were qualitatively similar in the MESA, with a change in C statistic from 0.65 to 0.68 and an NRI of 0.09 upon inclusion of subclinical disease measures.

CONCLUSIONS/INTERPRETATION: Standard clinical risk factors and novel biomarkers poorly discriminate and classify CVD risk in older adults with diabetes. The inclusion of subclinical atherosclerotic measures modestly improves these features, but to develop more robust risk prediction, a better understanding of the pathophysiology and determinants of CVD in this patient group is needed.

}, keywords = {Aged, Aged, 80 and over, Atherosclerosis, Biomarkers, Blood Pressure, Cardiovascular Diseases, Carotid Intima-Media Thickness, Cholesterol, HDL, Diabetes Mellitus, Female, Humans, Male, Myocardial Infarction, Regression Analysis, Risk Factors, Stroke}, issn = {1432-0428}, doi = {10.1007/s00125-012-2772-1}, author = {Mukamal, K J and Kizer, J R and Djouss{\'e}, L and Ix, J H and Zieman, S and Siscovick, D S and Sibley, C T and Tracy, R P and Arnold, A M} } @article {6629, title = {Trans-ethnic fine-mapping of lipid loci identifies population-specific signals and allelic heterogeneity that increases the trait variance explained.}, journal = {PLoS Genet}, volume = {9}, year = {2013}, month = {2013 Mar}, pages = {e1003379}, abstract = {

Genome-wide association studies (GWAS) have identified ~100 loci associated with blood lipid levels, but much of the trait heritability remains unexplained, and at most loci the identities of the trait-influencing variants remain unknown. We conducted a trans-ethnic fine-mapping study at 18, 22, and 18 GWAS loci on the Metabochip for their association with triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), respectively, in individuals of African American (n = 6,832), East Asian (n = 9,449), and European (n = 10,829) ancestry. We aimed to identify the variants with strongest association at each locus, identify additional and population-specific signals, refine association signals, and assess the relative significance of previously described functional variants. Among the 58 loci, 33 exhibited evidence of association at P<1 {\texttimes} 10(-4) in at least one ancestry group. Sequential conditional analyses revealed that ten, nine, and four loci in African Americans, Europeans, and East Asians, respectively, exhibited two or more signals. At these loci, accounting for all signals led to a 1.3- to 1.8-fold increase in the explained phenotypic variance compared to the strongest signals. Distinct signals across ancestry groups were identified at PCSK9 and APOA5. Trans-ethnic analyses narrowed the signals to smaller sets of variants at GCKR, PPP1R3B, ABO, LCAT, and ABCA1. Of 27 variants reported previously to have functional effects, 74\% exhibited the strongest association at the respective signal. In conclusion, trans-ethnic high-density genotyping and analysis confirm the presence of allelic heterogeneity, allow the identification of population-specific variants, and limit the number of candidate SNPs for functional studies.

}, keywords = {African Americans, Apolipoproteins A, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Genome-Wide Association Study, Humans, Lipoproteins, HDL, Lipoproteins, LDL, Proprotein Convertases, Serine Endopeptidases, Triglycerides}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003379}, author = {Wu, Ying and Waite, Lindsay L and Jackson, Anne U and Sheu, Wayne H-H and Buyske, Steven and Absher, Devin and Arnett, Donna K and Boerwinkle, Eric and Bonnycastle, Lori L and Carty, Cara L and Cheng, Iona and Cochran, Barbara and Croteau-Chonka, Damien C and Dumitrescu, Logan and Eaton, Charles B and Franceschini, Nora and Guo, Xiuqing and Henderson, Brian E and Hindorff, Lucia A and Kim, Eric and Kinnunen, Leena and Komulainen, Pirjo and Lee, Wen-Jane and Le Marchand, Lo{\"\i}c and Lin, Yi and Lindstr{\"o}m, Jaana and Lingaas-Holmen, Oddgeir and Mitchell, Sabrina L and Narisu, Narisu and Robinson, Jennifer G and Schumacher, Fred and Stan{\v c}{\'a}kov{\'a}, Alena and Sundvall, Jouko and Sung, Yun-Ju and Swift, Amy J and Wang, Wen-Chang and Wilkens, Lynne and Wilsgaard, Tom and Young, Alicia M and Adair, Linda S and Ballantyne, Christie M and B{\r u}zkov{\'a}, Petra and Chakravarti, Aravinda and Collins, Francis S and Duggan, David and Feranil, Alan B and Ho, Low-Tone and Hung, Yi-Jen and Hunt, Steven C and Hveem, Kristian and Juang, Jyh-Ming J and Kes{\"a}niemi, Antero Y and Kuusisto, Johanna and Laakso, Markku and Lakka, Timo A and Lee, I-Te and Leppert, Mark F and Matise, Tara C and Moilanen, Leena and Nj{\o}lstad, Inger and Peters, Ulrike and Quertermous, Thomas and Rauramaa, Rainer and Rotter, Jerome I and Saramies, Jouko and Tuomilehto, Jaakko and Uusitupa, Matti and Wang, Tzung-Dau and Boehnke, Michael and Haiman, Christopher A and Chen, Yii-der I and Kooperberg, Charles and Assimes, Themistocles L and Crawford, Dana C and Hsiung, Chao A and North, Kari E and Mohlke, Karen L} } @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 {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 {6366, title = {Coronary heart disease risks associated with high levels of HDL cholesterol.}, journal = {J Am Heart Assoc}, volume = {3}, year = {2014}, month = {2014 Mar 13}, pages = {e000519}, abstract = {

BACKGROUND: The association between high-density lipoprotein cholesterol (HDL-C) and coronary heart disease (CHD) events is not well described in individuals with very high levels of HDL-C (>80 mg/dL).

METHODS AND RESULTS: Using pooled data from 6 community-based cohorts we examined CHD and total mortality risks across a broad range of HDL-C, including values in excess of 80 mg/dL. We used Cox proportional hazards models with penalized splines to assess multivariable, adjusted, sex-stratified associations of HDL-C with the hazard for CHD events and total mortality, using HDL-C 45 mg/dL and 55 mg/dL as the referent in men and women, respectively. Analyses included 11 515 men and 12 925 women yielding 307 245 person-years of follow-up. In men, the association between HDL-C and CHD events was inverse and linear across most HDL-C values; however at HDL-C values >90 mg/dL there was a plateau effect in the pattern of association. In women, the association between HDL-C and CHD events was inverse and linear across lower values of HDL-C, however at HDL-C values >75 mg/dL there were no further reductions in the hazard ratio point estimates for CHD. In unadjusted models there were increased total mortality risks in men with very high HDL-C, however mortality risks observed in participants with very high HDL-C were attenuated after adjustment for traditional risk factors.

CONCLUSIONS: We did not observe further reductions in CHD risk with HDL-C values higher than 90 mg/dL in men and 75 mg/dL in women.

}, keywords = {Aged, Biomarkers, Cholesterol, HDL, Coronary Disease, Female, Humans, Linear Models, Male, Middle Aged, Multivariate Analysis, Prognosis, Proportional Hazards Models, Risk Assessment, Risk Factors, Time Factors, United States, Up-Regulation}, issn = {2047-9980}, doi = {10.1161/JAHA.113.000519}, author = {Wilkins, John T and Ning, Hongyan and Stone, Neil J and Criqui, Michael H and Zhao, Lihui and Greenland, Philip and Lloyd-Jones, Donald M} } @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 {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 {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 {6568, title = {Mendelian randomization of blood lipids for coronary heart disease.}, journal = {Eur Heart J}, volume = {36}, year = {2015}, month = {2015 Mar 01}, pages = {539-50}, abstract = {

AIMS: To investigate the causal role of high-density lipoprotein cholesterol (HDL-C) and triglycerides in coronary heart disease (CHD) using multiple instrumental variables for Mendelian randomization.

METHODS AND RESULTS: We developed weighted allele scores based on single nucleotide polymorphisms (SNPs) with established associations with HDL-C, triglycerides, and low-density lipoprotein cholesterol (LDL-C). For each trait, we constructed two scores. The first was unrestricted, including all independent SNPs associated with the lipid trait identified from a prior meta-analysis (threshold P < 2 {\texttimes} 10(-6)); and the second a restricted score, filtered to remove any SNPs also associated with either of the other two lipid traits at P <= 0.01. Mendelian randomization meta-analyses were conducted in 17 studies including 62,199 participants and 12,099 CHD events. Both the unrestricted and restricted allele scores for LDL-C (42 and 19 SNPs, respectively) associated with CHD. For HDL-C, the unrestricted allele score (48 SNPs) was associated with CHD (OR: 0.53; 95\% CI: 0.40, 0.70), per 1 mmol/L higher HDL-C, but neither the restricted allele score (19 SNPs; OR: 0.91; 95\% CI: 0.42, 1.98) nor the unrestricted HDL-C allele score adjusted for triglycerides, LDL-C, or statin use (OR: 0.81; 95\% CI: 0.44, 1.46) showed a robust association. For triglycerides, the unrestricted allele score (67 SNPs) and the restricted allele score (27 SNPs) were both associated with CHD (OR: 1.62; 95\% CI: 1.24, 2.11 and 1.61; 95\% CI: 1.00, 2.59, respectively) per 1-log unit increment. However, the unrestricted triglyceride score adjusted for HDL-C, LDL-C, and statin use gave an OR for CHD of 1.01 (95\% CI: 0.59, 1.75).

CONCLUSION: The genetic findings support a causal effect of triglycerides on CHD risk, but a causal role for HDL-C, though possible, remains less certain.

}, keywords = {Case-Control Studies, Cholesterol, HDL, Coronary Artery Disease, Female, Gene Frequency, Genotype, Genotyping Techniques, Humans, Male, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide, Risk Assessment, Triglycerides}, issn = {1522-9645}, doi = {10.1093/eurheartj/eht571}, author = {Holmes, Michael V and Asselbergs, Folkert W and Palmer, Tom M and Drenos, Fotios and Lanktree, Matthew B and Nelson, Christopher P and Dale, Caroline E and Padmanabhan, Sandosh and Finan, Chris and Swerdlow, Daniel I and Tragante, Vinicius and van Iperen, Erik P A and Sivapalaratnam, Suthesh and Shah, Sonia and Elbers, Clara C and Shah, Tina and Engmann, Jorgen and Giambartolomei, Claudia and White, Jon and Zabaneh, Delilah and Sofat, Reecha and McLachlan, Stela and Doevendans, Pieter A and Balmforth, Anthony J and Hall, Alistair S and North, Kari E and Almoguera, Berta and Hoogeveen, Ron C and Cushman, Mary and Fornage, Myriam and Patel, Sanjay R and Redline, Susan and Siscovick, David S and Tsai, Michael Y and Karczewski, Konrad J and Hofker, Marten H and Verschuren, W Monique and Bots, Michiel L and van der Schouw, Yvonne T and Melander, Olle and Dominiczak, Anna F and Morris, Richard and Ben-Shlomo, Yoav and Price, Jackie and Kumari, Meena and Baumert, Jens and Peters, Annette and Thorand, Barbara and Koenig, Wolfgang and Gaunt, Tom R and Humphries, Steve E and Clarke, Robert and Watkins, Hugh and Farrall, Martin and Wilson, James G and Rich, Stephen S and de Bakker, Paul I W and Lange, Leslie A and Davey Smith, George and Reiner, Alex P and Talmud, Philippa J and Kivimaki, Mika and Lawlor, Debbie A and Dudbridge, Frank and Samani, Nilesh J and Keating, Brendan J and Hingorani, Aroon D and Casas, Juan P} } @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 {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 {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 {9452, title = {Genome Wide Association Studies of Variant-by-Thiazide Interaction on Lipids Identifies a Novel Low-Density Lipoprotein Cholesterol Locus.}, journal = {Circ Res}, volume = {131}, year = {2022}, month = {2022 Jul 22}, pages = {277-279}, keywords = {Cholesterol, HDL, Cholesterol, LDL, Diuretics, Genome-Wide Association Study, Sodium Chloride Symporter Inhibitors, Thiazides, Triglycerides}, issn = {1524-4571}, doi = {10.1161/CIRCRESAHA.122.321120}, author = {Downie, Carolina G and Highland, Heather M and Lee, Moa P and Raffield, Laura M and Preuss, Michael and Whitsel, Eric A and Psaty, Bruce M and Sitlani, Colleen M and Graff, Mariaelisa and Avery, Christy L} }