@article {604, title = {Neuroanatomic and functional correlates of depressed mood: the Cardiovascular Health Study.}, journal = {Am J Epidemiol}, volume = {150}, year = {1999}, month = {1999 Nov 01}, pages = {919-29}, abstract = {

Although a number of studies suggest an association between stroke and depression, few have examined the relation between magnetic resonance imaging (MRI)-identified lesions and depression among community-dwelling older adults. This cross-sectional study sought to assess the association between MRI infarcts in the basal ganglia and non-basal-ganglia areas, potential functional consequences of these lesions, and depressive symptomatology in 3,371 US men and women aged 65 years or older who participated in the Cardiovascular Health Study between 1992 and 1994. By using multiple linear regression models, the authors found that after adjustment for age, gender, and stroke history, Center for Epidemiologic Studies Depression Scale scores were independently associated with non-basal-ganglia lesions (p = 0.04) but were not independently associated with basal ganglia lesions (p = 0.11). When measures of physical disability and cognitive impairment were added to the models, these measures displaced MRI-identified infarcts in their association with depressive symptoms. In additional models, hemispheric location and size of the basal ganglia lesion were found to have no relation to depression levels. These results suggest that the functional consequences of cerebrovascular disease may be the causal pathway by which basal ganglia and non-basal-ganglia lesions are associated with depressive symptomatology.

}, keywords = {Activities of Daily Living, Aged, Aged, 80 and over, Basal Ganglia, Cerebral Infarction, Cognition, Cross-Sectional Studies, Depression, Female, Geriatric Assessment, Humans, Linear Models, Magnetic Resonance Imaging, Male, Psychiatric Status Rating Scales, Risk Factors, United States}, issn = {0002-9262}, doi = {10.1093/oxfordjournals.aje.a010100}, author = {Sato, R and Bryan, R N and Fried, L P} } @article {619, title = {Negative and positive health effects of caring for a disabled spouse: longitudinal findings from the caregiver health effects study.}, journal = {Psychol Aging}, volume = {15}, year = {2000}, month = {2000 Jun}, pages = {259-71}, abstract = {

Data from the first 2 waves of the Caregiver Health Effects Study (n = 680) were analyzed to examine the effects of changes in caregiving involvement on changes in caregiver health-related outcomes in a population-based sample of elders caring for a disabled spouse. Caregiving involvement was indexed by levels of (a) spouse physical impairment, (b) help provided to the spouse, and (c) strain associated with providing help. Health-related outcomes included perceived health, health-risk behaviors, anxiety symptoms, and depression symptoms. Increases in spouse impairment and caregiver strain were generally related to poorer outcomes over time (poorer perceived health, increased health-risk behaviors, and increased anxiety and depression), whereas increased helping was related to better outcomes (decreased anxiety and depression). Results suggest that caring for a disabled spouse is a complex phenomenon that can have both deleterious and beneficial consequences.

}, keywords = {Aged, Anxiety, Caregivers, Depression, Disabled Persons, Female, Health Behavior, Health Status, Humans, Longitudinal Studies, Male, Mental Health, Risk-Taking, Spouses}, issn = {0882-7974}, doi = {10.1037//0882-7974.15.2.259}, author = {Beach, S R and Schulz, R and Yee, J L and Jackson, S} } @article {1528, title = {Neurologic correlates of infarction-like lesion location on magnetic resonance imaging in the cardiovascular health study}, journal = {J. Stroke Cerebrovascular Disease}, volume = {9}, year = {2000}, month = {2000-01-01}, pages = {228}, chapter = {218}, abstract = {Objective: To evaluate and quantify the associations of infarction-like lesion location in the brain with cognitive and physical impairment in an elderly population. Methods: Data from magnetic resonance imaging (MRI) scans for 3647 Cardiovascular Health Study participants were analyzed. Associations between infarction-like lesion location and various neurologic and performance-based measurements were assessed by using regression models. Continuous responses were expressed in percentiles. Models excluding participants with a history of stroke were also examined. Results: Brainstem infarction-like lesions were associated with a severely reduced Mini-Mental State Examination score (difference [d] = 15 percentiles, P < .001), reduced digit-symbol score (d = 12 percentiles, P < .01), increased time to walk 15 feet (d = 15 percentiles, P < .001), and increased odds of a history of dizziness (odds ratio [OR] = 2.5, P <.01). Basal ganglia infarctions were associated with an increased prevalence of visual field deficits (OR = 1.8, P <.001), and cerebellar white matter infarction-like lesions with an increased prevalence of a history of coma (OR = 4.0, P < .01). For those with infarction-like lesions in both the cerebral cortex and brainstem, the degree of sleepiness was substantially elevated (d = 34 percentiles, P < .01). No associations with a history of migraines were detected. After exclusion of those with stroke history, all of these associations persisted. Conclusion: The estimated magnitude and statistical significance of these associations relative to those with no infarction-like lesions provides new information. Further investigation for some of the associations, such as the role of the brainstem in cognitive function and the association of basal ganglia infarction-like lesions with visual field deficits, would be worthwhile.}, keywords = {basal, Brain, Cerebral Cortex, ganglia, Health, history, Infarction, Magnetic Resonance Imaging, methods, Odds Ratio, Population, Prevalence, Stroke}, author = {McClelland, RL and Kronmal, RA and Bryan, RN and Manolio, TA and Herskovits, EH and Kuller, LH and O{\textquoteright}Leary, DH} } @article {641, title = {Normative data on the Boston Naming Test and two equivalent 30-item short forms.}, journal = {Clin Neuropsychol}, volume = {14}, year = {2000}, month = {2000 Nov}, pages = {526-34}, abstract = {

Because of the significance of the Boston Naming Test (BNT) in the differential diagnosis of the dementias, especially Alzheimer{\textquoteright}s disease, adequate norms from community-dwelling elderly individuals are essential. The present study describes the development of two new empirically derived equivalent short forms (30 items each) of the test. Normative data for the total BNT and the two equivalent 30-item halves based on item difficulty are presented using the performance of 314 community-dwelling individuals aged 65 and over. Age and education norms are presented using an overlapping midpoint interval strategy.

}, keywords = {Aged, Aged, 80 and over, Alzheimer Disease, Female, Humans, Male, Neuropsychological Tests, Population Surveillance, Reference Values}, issn = {1385-4046}, doi = {10.1076/clin.14.4.526.7204}, author = {Saxton, J and Ratcliff, G and Munro, C A and Coffey, E C and Becker, J T and Fried, L and Kuller, L} } @article {690, title = {No association of plasma prothrombin concentration or the G20210A mutation with incident cardiovascular disease: results from the Cardiovascular Health Study.}, journal = {Thromb Haemost}, volume = {87}, year = {2002}, month = {2002 Apr}, pages = {614-21}, abstract = {

Prothrombin is a key factor in blood clotting, a process intimately involved in thrombotic disease. We assessed prothrombin levels and G20210A genotype in a case-control study within the Cardiovascular Health Study. Cases included angina, myocardial infarction, stroke, and the presence of MRI-detectable infarcts (n approximately 250 each). Population-based controls free of clinical cardiovascular disease (CVD) (n approximately 500) and a subset free of clinical and subclinical CVD (n approximately 250) were used for comparison. The 20210 A allele, frequency 2.9\%, was associated with higher mean prothrombin levels: 166.3 vs. 139.5 microg/ml (P <0.001). Significant correlates of prothrombin included gender, plasma lipids, other vitamin K-dependent proteins, and inflammatory markers, but not race, smoking, hypertension, diabetes, measures of subclinical CVD, or markers of procoagulant activity. Compared to controls, neither genotype nor prothrombin level was associated with any CVD case group. We conclude that, in the elderly, neither prothrombin level nor 20210 genotype were associated with either CVD risk factors or events. This is consistent with the lack of association of prothrombin levels with measures of underlying CVD or procoagulant markers.

}, keywords = {3{\textquoteright} Untranslated Regions, Aged, Aged, 80 and over, Alleles, Angina Pectoris, Blood Proteins, Cardiovascular Diseases, Case-Control Studies, Comorbidity, Diabetes Mellitus, Female, Genetic Predisposition to Disease, Humans, Hyperlipidemias, Hypertension, Male, Mutation, Myocardial Infarction, Obesity, Promoter Regions, Genetic, Prothrombin, Risk Factors, Smoking, Stroke, Vermont}, issn = {0340-6245}, author = {Smiles, Adam M and Jenny, Nancy S and Tang, Zhonghua and Arnold, Alice and Cushman, Mary and Tracy, Russell P} } @article {696, title = {Nuclear magnetic resonance spectroscopy of lipoproteins and risk of coronary heart disease in the cardiovascular health study.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {22}, year = {2002}, month = {2002 Jul 01}, pages = {1175-80}, abstract = {

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

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

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

}, keywords = {Aged, Aging, Cardiovascular System, Case-Control Studies, Cohort Studies, Coronary Disease, Female, Health Status, Humans, Lipoproteins, HDL, Lipoproteins, LDL, Lipoproteins, VLDL, Magnetic Resonance Spectroscopy, Male, Nuclear Magnetic Resonance, Biomolecular, Risk Factors, Sex Factors}, issn = {1524-4636}, doi = {10.1161/01.atv.0000022015.97341.3a}, author = {Kuller, Lewis and Arnold, Alice and Tracy, Russell and Otvos, James and Burke, Greg and Psaty, Bruce and Siscovick, David and Freedman, David S and Kronmal, Richard} } @article {722, title = {n-3 Polyunsaturated fatty acids, fatal ischemic heart disease, and nonfatal myocardial infarction in older adults: the Cardiovascular Health Study.}, journal = {Am J Clin Nutr}, volume = {77}, year = {2003}, month = {2003 Feb}, pages = {319-25}, abstract = {

BACKGROUND: Little is known about the relation of the dietary intake of n-3 polyunsaturated fatty acids, ie, docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) from fatty fish and alpha-linolenic acid from vegetable oils, with ischemic heart disease among older adults.

OBJECTIVE: We investigated the associations of plasma phospholipid concentrations of DHA, EPA, and alpha-linolenic acid as biomarkers of intake with the risk of incident fatal ischemic heart disease and incident nonfatal myocardial infarction in older adults.

DESIGN: We conducted a case-control study nested in the Cardiovascular Health Study, a cohort study of adults aged > or = 65 y. Cases experienced incident fatal myocardial infarction and other ischemic heart disease death (n = 54) and incident nonfatal myocardial infarction (n = 125). Matched controls were randomly selected (n = 179). We measured plasma phospholipid concentrations of n-3 polyunsaturated fatty acids in blood samples drawn approximately 2 y before the event.

RESULTS: A higher concentration of combined DHA and EPA was associated with a lower risk of fatal ischemic heart disease, and a higher concentration of alpha-linolenic acid with a tendency to lower risk, after adjustment for risk factors [odds ratio: 0.32 (95\% CI: 0.13, 0.78; P = 0.01) and 0.52 (0.24, 1.15; P = 0.1), respectively]. In contrast, n-3 polyunsaturated fatty acids were not associated with nonfatal myocardial infarction.

CONCLUSIONS: Higher combined dietary intake of DHA and EPA, and possibly alpha-linolenic acid, may lower the risk of fatal ischemic heart disease in older adults. The association of n-3 polyunsaturated fatty acids with fatal ischemic heart disease, but not with nonfatal myocardial infarction, is consistent with possible antiarrhythmic effects of these fatty acids.

}, keywords = {Aged, alpha-Linolenic Acid, Biomarkers, Case-Control Studies, Cohort Studies, Coronary Disease, Dietary Supplements, Docosahexaenoic Acids, Eicosapentaenoic Acid, Fatty Acids, Omega-3, Female, Fish Oils, Humans, Incidence, Male, Myocardial Infarction, Odds Ratio, Phospholipids, Prevalence, Prospective Studies, Risk Factors}, issn = {0002-9165}, doi = {10.1093/ajcn/77.2.319}, author = {Lemaitre, Rozenn N and King, Irena B and Mozaffarian, Dariush and Kuller, Lewis H and Tracy, Russell P and Siscovick, David S} } @article {809, title = {Neighbourhood environments and mortality in an elderly cohort: results from the cardiovascular health study.}, journal = {J Epidemiol Community Health}, volume = {58}, year = {2004}, month = {2004 Nov}, pages = {917-23}, abstract = {

BACKGROUND: It has been postulated that neighbourhood conditions are related to the health of the elderly population but longitudinal studies are rare and confounding by individual level variables remains a possibility.

METHODS: Data were obtained from the cardiovascular health study, a population based study of adults aged 65 years and older. Census block groups were used as proxies for neighbourhoods. A summary score was used to characterise the neighbourhood socioeconomic environment. Information on personal socioeconomic indicators, cardiovascular disease prevalence, and cardiovascular risk factors was obtained from the baseline examination. Proportional hazards regression and propensity score matching were used to control for individual level variables.

RESULTS: Over the eight year follow up there were 1346 deaths among the 5074 participants, of which 43\% were attributable to cardiovascular disease. Among white participants, living in the most disadvantaged neighbourhood group was associated with higher rates of cardiovascular death, after adjustment for income, education, and occupation (hazard ratio (HR) 1.5, 95\% confidence intervals (CI) 1.2 to 1.9). No neighbourhood differences were observed for non-cardiovascular deaths. Estimates for black participants were 1.3 (95\% CI 0.7 to 2.3) for cardiovascular deaths and 1.4 (95\% CI 0.8 to 2.4) for non-cardiovascular deaths, but sample size was small. In white participants, associations of neighbourhood characteristics with cardiovascular mortality persisted after adjustment for prevalent baseline disease and cardiovascular risk factors. The use of propensity score matching led to similar results (HR for the lowest compared with the highest neighbourhood score group: 1.6 95\% CI 1.1 to 2.5, controlling for personal socioeconomic indicators).

CONCLUSION: Neighbourhood disadvantage is related to rates of cardiovascular death in elderly white adults.

}, keywords = {African Americans, Aged, Cardiovascular Diseases, European Continental Ancestry Group, Female, Follow-Up Studies, Humans, Income, Male, Poverty Areas, Residence Characteristics, Risk Factors, Socioeconomic Factors, United States}, issn = {0143-005X}, doi = {10.1136/jech.2003.019596}, author = {Diez Roux, Ana V and Borrell, Luisa N and Haan, Mary and Jackson, Sharon A and Schultz, Richard} } @article {851, title = {Neuropsychological characteristics of mild cognitive impairment subgroups.}, journal = {J Neurol Neurosurg Psychiatry}, volume = {77}, year = {2006}, month = {2006 Feb}, pages = {159-65}, abstract = {

OBJECTIVE: To describe the neuropsychological characteristics of mild cognitive impairment (MCI) subgroups identified in the Cardiovascular Health Study (CHS) cognition study.

METHODS: MCI was classified as MCI-amnestic type (MCI-AT): patients with documented memory deficits but otherwise normal cognitive function; and MCI-multiple cognitive deficits type (MCI-MCDT): impairment of at least one cognitive domain (not including memory), or one abnormal test in at least two other domains, but who had not crossed the dementia threshold. The MCI subjects did not have systemic, neurological, or psychiatric disorders likely to affect cognition.

RESULTS: MCI-AT (n = 10) had worse verbal and non-verbal memory performance than MCI-MCDT (n = 28) or normal controls (n = 374). By contrast, MCI-MCDT had worse language, psychomotor speed, fine motor control, and visuoconstructional function than MCI-AT or normal controls. MCI-MCDT subjects had memory deficits, though they were less pronounced than in MCI-AT. Of the MCI-MCDT cases, 22 (78.5\%) had memory deficits, and 6 (21.5\%) did not. MCI-MCDT with memory disorders had more language deficits than MCI-MCDT without memory disorders. By contrast, MCI-MCDT without memory deficits had more fine motor control deficits than MCI-MCDT with memory deficits.

CONCLUSIONS: The most frequent form of MCI was the MCI-MCDT with memory deficits. However, the identification of memory impaired MCI groups did not reflect the true prevalence of MCI in a population, as 16\% of all MCI cases and 21.5\% of the MCI-MCDT cases did not have memory impairment. Study of idiopathic amnestic and non-amnestic forms of MCI is essential for an understanding of the aetiology of MCI.

}, keywords = {Aged, Aged, 80 and over, Alzheimer Disease, Amnesia, Cognition Disorders, Female, Humans, Male, Neuropsychological Tests, Psychometrics, Reference Values}, issn = {0022-3050}, doi = {10.1136/jnnp.2004.045567}, author = {Lopez, O L and Becker, J T and Jagust, W J and Fitzpatrick, A and Carlson, M C and DeKosky, S T and Breitner, J and Lyketsos, C G and Jones, B and Kawas, C and Kuller, L H} } @article {914, title = {New-onset diabetes and risk of all-cause and cardiovascular mortality: the Cardiovascular Health Study.}, journal = {Diabetes Care}, volume = {29}, year = {2006}, month = {2006 Sep}, pages = {2012-7}, abstract = {

OBJECTIVE: Cardiovascular risk associated with new-onset diabetes is not well characterized. We hypothesized that risk of all-cause and cardiovascular mortality would be similar among participants with and without new-onset diabetes in the first years of follow-up and rise over time for new-onset diabetes.

RESEARCH DESIGN AND METHODS: The Cardiovascular Health Study (CHS) is a longitudinal study of cardiovascular risk factors in adults aged > or =65 years. We used CHS participants to define a cohort (n = 282) with new-onset diabetes during 11 years of follow-up. New-onset diabetes was defined by initiation of antidiabetes medication or by fasting plasma glucose >125 mg/dl among CHS participants without diabetes at study entry. Three CHS participants without diabetes were matched for age, sex, and race to each participant with new-onset diabetes at the time of diabetes identification (n = 837). Survival analysis provided adjusted hazard ratios (HRs) for all-cause and cardiovascular mortality.

RESULTS: During a median of 5.9 years of follow-up, there were 352 deaths, of which 41\% were cardiovascular. In adjusted analyses, new-onset diabetes was associated with an HR of 1.9 (95\% CI 1.4-2.5) for all-cause and 2.2 (1.4-3.4) for cardiovascular mortality compared with no diabetes. Mortality risks were elevated within 2 years of onset, especially cardiovascular risk (4.3 [95\% CI 1.7-10.8]), and did not increase over time.

CONCLUSIONS: Our findings indicate that there may be a mortality differential soon after diabetes onset in older adults and suggest that long-term macrovascular damage from atherosclerosis may not be primarily responsible for increased risk.

}, keywords = {Aged, Aged, 80 and over, Atherosclerosis, Blood Glucose, Cardiovascular Diseases, Diabetes Complications, Diabetes Mellitus, Follow-Up Studies, Humans, Kaplan-Meier Estimate, Risk Factors, Survival Rate, Time Factors}, issn = {0149-5992}, doi = {10.2337/dc06-0574}, author = {Smith, Nicholas L and Barzilay, Joshua I and Kronmal, Richard and Lumley, Thomas and Enquobahrie, Daniel and Psaty, Bruce M} } @article {1531, title = {The number of sick persons in a cohort.}, journal = {Research on Aging}, volume = {29}, year = {2007}, month = {2007-01-01}, chapter = {555}, abstract = {In the Cardiovascular Health Study, a cohort study of older adults followed up to 14 years, the number of sick persons was approximately constant over time. This was true whether we defined {\textquotedblleft}sick{\textquotedblright} based on self-rated health, ADL or IADL difficulties, the timed walk, bed days, depression, cognitive problems, or cardiovascular disease. To better understand this phenomenon, we estimated the probabilities of transition among the healthy, sick, and dead states, and projected the number who would be in each health state over time for a birth cohort. The estimated number of sick persons in the birth cohort increased slowly over time and was approximately constant from ages 55-75, after which it decreased. The relative excess of older persons who are sick in later life is caused by a decline in the number of healthy persons rather than an increase in the number who are sick. Estimated total medical expenditures for a birth cohort may decline after about age 73. These findings may suggest a different way of thinking about trends in the health and medical expenditures of the population over time.}, keywords = {Aging, equilibrium, transition probabilities, years of healthy life}, author = {Diehr, P and Derleth, A and Newman, AB and Cai, L} } @article {1034, title = {No advantage of A beta 42-lowering NSAIDs for prevention of Alzheimer dementia in six pooled cohort studies.}, journal = {Neurology}, volume = {70}, year = {2008}, month = {2008 Jun 10}, pages = {2291-8}, abstract = {

INTRODUCTION: Observational studies show reduced incidence of Alzheimer dementia (AD) in users of nonsteroidal anti-inflammatory drugs (NSAIDs). One hypothesis holds that the subset of NSAIDs known as selective A beta(42)-lowering agents (SALAs) is responsible for this apparent reduction in AD risk.

METHODS: We pooled individual-level data from six prospective studies to obtain a sufficient sample to examine AD risk in users of SALA vs non-SALA NSAIDs.

RESULTS: Of 13,499 initially dementia-free participants (70,863 person-years), 820 developed incident AD. Users of NSAIDs (29.6\%) showed reduced risk of AD (adjusted hazard ratio [aHR] 0.77, 95\% CI 0.65-0.91). The point estimates were similar for SALAs (aHR 0.87, CI 0.72-1.04) and non-SALAs (aHR 0.75, CI 0.56-1.01). Because 573 NSAID users (14.5\%) reported taking both a SALA and non-SALA, we examined their use alone and in combination. Resulting aHRs were 0.82 (CI 0.67-0.99) for SALA only, 0.60 (CI 0.40-0.90) for non-SALA only, and 0.87 (CI 0.57-1.33) for both NSAIDs (Wald test for differences, p = 0.32). The 40.7\% of participants who used aspirin also showed reduced risk of AD, even when they used no other NSAIDs (aHR 0.78, CI 0.66-0.92). By contrast, there was no association with use of acetaminophen (aHR 0.93, CI 0.76-1.13).

CONCLUSIONS: In this pooled dataset, nonsteroidal anti-inflammatory drug (NSAID) use reduced the risk of Alzheimer dementia (AD). However, there was no apparent advantage in AD risk reduction for the subset of NSAIDs shown to selectively lower A beta(42), suggesting that all conventional NSAIDs including aspirin have a similar protective effect in humans.

}, keywords = {Acetaminophen, Adolescent, Adult, Aged, Aged, 80 and over, Alzheimer Disease, Amyloid beta-Peptides, Analgesics, Non-Narcotic, Anti-Inflammatory Agents, Non-Steroidal, Aspirin, Cohort Studies, Female, Humans, Male, Middle Aged, Neuroprotective Agents, Peptide Fragments, Proportional Hazards Models, Prospective Studies, Risk Factors}, issn = {1526-632X}, doi = {10.1212/01.wnl.0000313933.17796.f6}, author = {Szekely, C A and Green, R C and Breitner, J C S and {\O}stbye, T and Beiser, A S and Corrada, M M and Dodge, H H and Ganguli, M and Kawas, C H and Kuller, L H and Psaty, B M and Resnick, S M and Wolf, P A and Zonderman, A B and Welsh-Bohmer, K A and Zandi, P P} } @article {1042, title = {Novel measures of heart rate variability predict cardiovascular mortality in older adults independent of traditional cardiovascular risk factors: the Cardiovascular Health Study (CHS).}, journal = {J Cardiovasc Electrophysiol}, volume = {19}, year = {2008}, month = {2008 Nov}, pages = {1169-74}, abstract = {

UNLABELLED: Novel HRV Predicts CV Mortality in the Elderly.

BACKGROUND: It is unknown whether abnormal heart rate turbulence (HRT) and abnormal fractal properties of heart rate variability identify older adults at increased risk of cardiovascular death (CVdth).

METHODS: Data from 1,172 community-dwelling adults, ages 72 +/- 5 (65-93) years, who participated in the Cardiovascular Health Study (CHS), a study of risk factors for CV disease in people >or=65 years. HRT and the short-term fractal scaling exponent (DFA1) derived from 24-hour Holter recordings. HRT categorized as: normal (turbulence slope [TS] and turbulence onset [TO] normal) or abnormal (TS and/or TO abnormal). DFA1 categorized as low (1). Cox regression analyses stratified by Framingham Risk Score (FRS) strata (low = <10, mid = 10-20, and high >20) and adjusted for prevalent clinical cardiovascular disease (CVD), diabetes, and quartiles of ventricular premature beat counts (VPCs).

RESULTS: CVdths (N = 172) occurred over a median follow-up of 12.3 years. Within each FRS stratum, low DFA1 + abnormal HRT predicted risk of CVdth (RR = 7.7 for low FRS; 3.6, mid FRS; 2.8, high FRS). Among high FRS stratum participants, low DFA1 alone also predicted CVdth (RR = 2.0). VPCs in the highest quartile predicted CVdth, but only in the high FRS group. Clinical CV disease predicted CVdth at each FRS stratum (RR = 2.9, low; 2.6, mid; and 1.9, high). Diabetes predicted CVdth in the highest FRS group only (RR = 2.2).

CONCLUSIONS: The combination of low DFA1 + abnormal HRT is a strong risk factor for CVdth among older adults even after adjustment for conventional CVD risk measures and the presence of CVD.

}, keywords = {Aged, Aged, 80 and over, Arrhythmias, Cardiac, Death, Sudden, Cardiac, Electrocardiography, Ambulatory, Female, Heart Rate, Humans, Male, Maryland, Reproducibility of Results, Risk Assessment, Risk Factors, Sensitivity and Specificity, Survival Analysis, Survival Rate}, issn = {1540-8167}, doi = {10.1111/j.1540-8167.2008.01232.x}, author = {Stein, Phyllis K and Barzilay, Joshua I and Chaves, Paulo H M and Mistretta, Stephanie Q and Domitrovich, Peter P and Gottdiener, John S and Rich, Michael W and Kleiger, Robert E} } @article {998, title = {NSAID use and dementia risk in the Cardiovascular Health Study: role of APOE and NSAID type.}, journal = {Neurology}, volume = {70}, year = {2008}, month = {2008 Jan 01}, pages = {17-24}, abstract = {

BACKGROUND: Epidemiologic and laboratory studies suggest that nonsteroidal antiinflammatory drugs (NSAIDs) reduce risk of Alzheimer disease (AD). We therefore investigated the association between use of NSAIDs, aspirin, and the non-NSAID analgesic acetaminophen with incidence of dementia and AD.

METHODS: Participants in the Cardiovascular Health Cognition Study included 3,229 individuals aged 65 or older, free of dementia at baseline, with information on medication use. We used Cox proportional hazards regression to estimate the association of medication use with incident all-cause dementia, AD, and vascular dementia (VaD). Additional analyses considered the NSAID-AD relationship as a function of age, presence of at least one epsilon 4 allele at APOE, race, and individual NSAIDs{\textquoteright} reported ability to reduce production of the amyloid-beta peptide variant A beta(42).

RESULTS: Use of NSAIDs was associated with a lower risk of dementia (adjusted hazard ratio or aHR 0.76, 95\% CI or CI 0.60-0.96) and, in particular, AD (aHR 0.63, CI 0.45-0.88), but not VaD (aHR 0.92, CI 0.65-1.28). No similar trends were observed with acetaminophen (aHR 0.99, CI 0.79-1.24). Closer examination suggested AD risk reduction with NSAIDs only in participants having an APOE epsilon 4 allele (aHR 0.34, CI 0.18-0.65; aHR for others 0.88, CI 0.59-1.32). There was no advantage in AD risk reduction with NSAIDs reported to selectively reduce A beta(42).

CONCLUSIONS: Results were consistent with previous cohort studies showing reduced risk of AD in NSAID users, but this association was found only in those with an APOE epsilon 4 allele, and there was no advantage for A beta(42)-lowering NSAIDs.

}, keywords = {Aged, Aged, 80 and over, Alzheimer Disease, Anti-Inflammatory Agents, Non-Steroidal, Apolipoproteins E, Cardiovascular System, Dementia, Female, Humans, Incidence, Male, Proportional Hazards Models, Prospective Studies, Risk Factors}, issn = {1526-632X}, doi = {10.1212/01.wnl.0000284596.95156.48}, author = {Szekely, C A and Breitner, J C S and Fitzpatrick, A L and Rea, T D and Psaty, B M and Kuller, L H and Zandi, P P} } @article {1107, title = {NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium.}, journal = {PLoS Genet}, volume = {5}, year = {2009}, month = {2009 Jun}, pages = {e1000539}, abstract = {

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

}, keywords = {Aged, Body Mass Index, Cohort Studies, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Obesity, Polymorphism, Single Nucleotide, Waist Circumference}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1000539}, author = {Heard-Costa, Nancy L and Zillikens, M Carola and Monda, Keri L and Johansson, Asa and Harris, Tamara B and Fu, Mao and Haritunians, Talin and Feitosa, Mary F and Aspelund, Thor and Eiriksdottir, Gudny and Garcia, Melissa and Launer, Lenore J and Smith, Albert V and Mitchell, Braxton D and McArdle, Patrick F and Shuldiner, Alan R and Bielinski, Suzette J and Boerwinkle, Eric and Brancati, Fred and Demerath, Ellen W and Pankow, James S and Arnold, Alice M and Chen, Yii-Der Ida and Glazer, Nicole L and McKnight, Barbara and Psaty, Bruce M and Rotter, Jerome I and Amin, Najaf and Campbell, Harry and Gyllensten, Ulf and Pattaro, Cristian and Pramstaller, Peter P and Rudan, Igor and Struchalin, Maksim and Vitart, Veronique and Gao, Xiaoyi and Kraja, Aldi and Province, Michael A and Zhang, Qunyuan and Atwood, Larry D and Dupuis, Jos{\'e}e and Hirschhorn, Joel N and Jaquish, Cashell E and O{\textquoteright}Donnell, Christopher J and Vasan, Ramachandran S and White, Charles C and Aulchenko, Yurii S and Estrada, Karol and Hofman, Albert and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Witteman, Jacqueline C M and Oostra, Ben A and Kaplan, Robert C and Gudnason, Vilmundur and O{\textquoteright}Connell, Jeffrey R and Borecki, Ingrid B and van Duijn, Cornelia M and Cupples, L Adrienne and Fox, Caroline S and North, Kari E} } @article {1138, title = {N-terminal pro-B-type natriuretic peptide is a major predictor of the development of atrial fibrillation: the Cardiovascular Health Study.}, journal = {Circulation}, volume = {120}, year = {2009}, month = {2009 Nov 03}, pages = {1768-74}, abstract = {

BACKGROUND: Atrial fibrillation (AF), the most common cardiac rhythm abnormality, is associated with significant morbidity, mortality, and healthcare expenditures. Elevated B-type natriuretic peptide levels have been associated with the risk of heart failure, AF, and mortality.

METHODS AND RESULTS: The relation between N-terminal pro-B-type natriuretic peptide (NT-proBNP) and AF was studied in 5445 Cardiovascular Health Study participants with the use of relative risk regression for predicting prevalent AF and Cox proportional hazards for predicting incident AF. NT-proBNP levels were strongly associated with prevalent AF, with an unadjusted prevalence ratio of 128 for the highest quintile (95\% confidence interval, 17.9 to 913.3; P<0.001) and adjusted prevalence ratio of 147 for the highest quintile (95\% confidence interval, 20.4 to 1064.3; P<0.001) compared with the lowest. After a median follow-up of 10 years (maximum of 16 years), there were 1126 cases of incident AF (a rate of 2.2 per 100 person-years). NT-proBNP was highly predictive of incident AF, with an unadjusted hazard ratio of 5.2 (95\% confidence interval, 4.3 to 6.4; P<0.001) for the development of AF for the highest quintile compared with the lowest; for the same contrast, NT-proBNP remained the strongest predictor of incident AF after adjustment for an extensive number of covariates, including age, sex, medication use, blood pressure, echocardiographic parameters, diabetes mellitus, and heart failure, with an adjusted hazard ratio of 4.0 (95\% confidence interval, 3.2 to 5.0; P<0.001).

CONCLUSIONS: In a community-based population of older adults, NT-proBNP was a remarkable predictor of incident AF, independent of any other previously described risk factor.

}, keywords = {Aged, Aged, 80 and over, Atrial Fibrillation, Female, Humans, Immunoassay, Longitudinal Studies, Male, Natriuretic Peptide, Brain, Peptide Fragments, Predictive Value of Tests, Prevalence, Proportional Hazards Models, Risk Factors}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.109.873265}, author = {Patton, Kristen K and Ellinor, Patrick T and Heckbert, Susan R and Christenson, Robert H and DeFilippi, Christopher and Gottdiener, John S and Kronmal, Richard A} } @article {1160, title = {New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Feb}, pages = {105-16}, abstract = {

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

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

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

}, keywords = {Cohort Studies, Creatinine, Cystatin C, Diet, Europe, Genetic Markers, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Kidney, Kidney Failure, Chronic, Models, Genetic, Risk Factors}, issn = {1546-1718}, doi = {10.1038/ng.568}, author = {K{\"o}ttgen, Anna and Pattaro, Cristian and B{\"o}ger, Carsten A and Fuchsberger, Christian and Olden, Matthias and Glazer, Nicole L and Parsa, Afshin and Gao, Xiaoyi and Yang, Qiong and Smith, Albert V and O{\textquoteright}Connell, Jeffrey R and Li, Man and Schmidt, Helena and Tanaka, Toshiko and Isaacs, Aaron and Ketkar, Shamika and Hwang, Shih-Jen and Johnson, Andrew D and Dehghan, Abbas and Teumer, Alexander and Par{\'e}, Guillaume and Atkinson, Elizabeth J and Zeller, Tanja and Lohman, Kurt and Cornelis, Marilyn C and Probst-Hensch, Nicole M and Kronenberg, Florian and T{\"o}njes, Anke and Hayward, Caroline and Aspelund, Thor and Eiriksdottir, Gudny and Launer, Lenore J and Harris, Tamara B and Rampersaud, Evadnie and Mitchell, Braxton D and Arking, Dan E and Boerwinkle, Eric and Struchalin, Maksim and Cavalieri, Margherita and Singleton, Andrew and Giallauria, Francesco and Metter, Jeffrey and de Boer, Ian H and Haritunians, Talin and Lumley, Thomas and Siscovick, David and Psaty, Bruce M and Zillikens, M Carola and Oostra, Ben A and Feitosa, Mary and Province, Michael and de Andrade, Mariza and Turner, Stephen T and Schillert, Arne and Ziegler, Andreas and Wild, Philipp S and Schnabel, Renate B and Wilde, Sandra and Munzel, Thomas F and Leak, Tennille S and Illig, Thomas and Klopp, Norman and Meisinger, Christa and Wichmann, H-Erich and Koenig, Wolfgang and Zgaga, Lina and Zemunik, Tatijana and Kolcic, Ivana and Minelli, Cosetta and Hu, Frank B and Johansson, Asa and Igl, Wilmar and Zaboli, Ghazal and Wild, Sarah H and Wright, Alan F and Campbell, Harry and Ellinghaus, David and Schreiber, Stefan and Aulchenko, Yurii S and Felix, Janine F and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Hofman, Albert and Imboden, Medea and Nitsch, Dorothea and Brandst{\"a}tter, Anita and Kollerits, Barbara and Kedenko, Lyudmyla and M{\"a}gi, Reedik and Stumvoll, Michael and Kovacs, Peter and Boban, Mladen and Campbell, Susan and Endlich, Karlhans and V{\"o}lzke, Henry and Kroemer, Heyo K and Nauck, Matthias and V{\"o}lker, Uwe and Polasek, Ozren and Vitart, Veronique and Badola, Sunita and Parker, Alexander N and Ridker, Paul M and Kardia, Sharon L R and Blankenberg, Stefan and Liu, Yongmei and Curhan, Gary C and Franke, Andre and Rochat, Thierry and Paulweber, Bernhard and Prokopenko, Inga and Wang, Wei and Gudnason, Vilmundur and Shuldiner, Alan R and Coresh, Josef and Schmidt, Reinhold and Ferrucci, Luigi and Shlipak, Michael G and van Duijn, Cornelia M and Borecki, Ingrid and Kr{\"a}mer, Bernhard K and Rudan, Igor and Gyllensten, Ulf and Wilson, James F and Witteman, Jacqueline C and Pramstaller, Peter P and Rettig, Rainer and Hastie, Nick and Chasman, Daniel I and Kao, W H and Heid, Iris M and Fox, Caroline S} } @article {1252, title = {A novel approach to prediction of mild obstructive sleep disordered breathing in a population-based sample: the Sleep Heart Health Study.}, journal = {Sleep}, volume = {33}, year = {2010}, month = {2010 Dec}, pages = {1641-8}, abstract = {

This manuscript considers a data-mining approach for the prediction of mild obstructive sleep disordered breathing, defined as an elevated respiratory disturbance index (RDI), in 5,530 participants in a community-based study, the Sleep Heart Health Study. The prediction algorithm was built using modern ensemble learning algorithms, boosting in specific, which allowed for assessing potential high-dimensional interactions between predictor variables or classifiers. To evaluate the performance of the algorithm, the data were split into training and validation sets for varying thresholds for predicting the probability of a high RDI (>=7 events per hour in the given results). Based on a moderate classification threshold from the boosting algorithm, the estimated post-test odds of a high RDI were 2.20 times higher than the pre-test odds given a positive test, while the corresponding post-test odds were decreased by 52\% given a negative test (sensitivity and specificity of 0.66 and 0.70, respectively). In rank order, the following variables had the largest impact on prediction performance: neck circumference, body mass index, age, snoring frequency, waist circumference, and snoring loudness.

}, keywords = {Age Factors, Aged, Algorithms, Body Mass Index, Cohort Studies, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Risk Factors, ROC Curve, Sleep Apnea Syndromes, Snoring, Waist Circumference}, issn = {0161-8105}, author = {Caffo, Brian and Diener-West, Marie and Punjabi, Naresh M and Samet, Jonathan} } @article {1176, title = {Novel associations of multiple genetic loci with plasma levels of factor VII, factor VIII, and von Willebrand factor: The CHARGE (Cohorts for Heart and Aging Research in Genome Epidemiology) Consortium.}, journal = {Circulation}, volume = {121}, year = {2010}, month = {2010 Mar 30}, pages = {1382-92}, abstract = {

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

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

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

}, keywords = {Adult, Factor VII, Factor VIII, Female, Genome-Wide Association Study, Hemostasis, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Thrombosis, von Willebrand Factor}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.109.869156}, author = {Smith, Nicholas L and Chen, Ming-Huei and Dehghan, Abbas and Strachan, David P and Basu, Saonli and Soranzo, Nicole and Hayward, Caroline and Rudan, Igor and Sabater-Lleal, Maria and Bis, Joshua C and de Maat, Moniek P M and Rumley, Ann and Kong, Xiaoxiao and Yang, Qiong and Williams, Frances M K and Vitart, Veronique and Campbell, Harry and M{\"a}larstig, Anders and Wiggins, Kerri L and van Duijn, Cornelia M and McArdle, Wendy L and Pankow, James S and Johnson, Andrew D and Silveira, Angela and McKnight, Barbara and Uitterlinden, Andr{\'e} G and Aleksic, Nena and Meigs, James B and Peters, Annette and Koenig, Wolfgang and Cushman, Mary and Kathiresan, Sekar and Rotter, Jerome I and Bovill, Edwin G and Hofman, Albert and Boerwinkle, Eric and Tofler, Geoffrey H and Peden, John F and Psaty, Bruce M and Leebeek, Frank and Folsom, Aaron R and Larson, Martin G and Spector, Timothy D and Wright, Alan F and Wilson, James F and Hamsten, Anders and Lumley, Thomas and Witteman, Jacqueline C M and Tang, Weihong and O{\textquoteright}Donnell, Christopher J} } @article {1332, title = {Neighborhood disadvantage and ischemic stroke: the Cardiovascular Health Study (CHS).}, journal = {Stroke}, volume = {42}, year = {2011}, month = {2011 Dec}, pages = {3363-8}, abstract = {

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

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

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

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

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

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

}, keywords = {Animals, Blood Platelets, Cell Size, Drosophila melanogaster, Drosophila Proteins, Europe, Gene Expression Profiling, Gene Silencing, Genome, Human, Genome-Wide Association Study, Hematopoiesis, Humans, Megakaryocytes, Platelet Count, Protein Interaction Maps, Transcription, Genetic, Zebrafish, Zebrafish Proteins}, issn = {1476-4687}, doi = {10.1038/nature10659}, author = {Gieger, Christian and Radhakrishnan, Aparna and Cvejic, Ana and Tang, Weihong and Porcu, Eleonora and Pistis, Giorgio and Serbanovic-Canic, Jovana and Elling, Ulrich and Goodall, Alison H and Labrune, Yann and Lopez, Lorna M and M{\"a}gi, Reedik and Meacham, Stuart and Okada, Yukinori and Pirastu, Nicola and Sorice, Rossella and Teumer, Alexander and Voss, Katrin and Zhang, Weihua and Ramirez-Solis, Ramiro and Bis, Joshua C and Ellinghaus, David and G{\"o}gele, Martin and Hottenga, Jouke-Jan and Langenberg, Claudia and Kovacs, Peter and O{\textquoteright}Reilly, Paul F and Shin, So-Youn and Esko, T{\~o}nu and Hartiala, Jaana and Kanoni, Stavroula and Murgia, Federico and Parsa, Afshin and Stephens, Jonathan and van der Harst, Pim and Ellen van der Schoot, C and Allayee, Hooman and Attwood, Antony and Balkau, Beverley and Bastardot, Fran{\c c}ois and Basu, Saonli and Baumeister, Sebastian E and Biino, Ginevra and Bomba, Lorenzo and Bonnefond, Am{\'e}lie and Cambien, Francois and Chambers, John C and Cucca, Francesco and D{\textquoteright}Adamo, Pio and Davies, Gail and de Boer, Rudolf A and de Geus, Eco J C and D{\"o}ring, Angela and Elliott, Paul and Erdmann, Jeanette and Evans, David M and Falchi, Mario and Feng, Wei and Folsom, Aaron R and Frazer, Ian H and Gibson, Quince D and Glazer, Nicole L and Hammond, Chris and Hartikainen, Anna-Liisa and Heckbert, Susan R and Hengstenberg, Christian and Hersch, Micha and Illig, Thomas and Loos, Ruth J F and Jolley, Jennifer and Khaw, Kay Tee and Kuhnel, Brigitte and Kyrtsonis, Marie-Christine and Lagou, Vasiliki and Lloyd-Jones, Heather and Lumley, Thomas and Mangino, Massimo and Maschio, Andrea and Mateo Leach, Irene and McKnight, Barbara and Memari, Yasin and Mitchell, Braxton D and Montgomery, Grant W and Nakamura, Yusuke and Nauck, Matthias and Navis, Gerjan and N{\"o}thlings, Ute and Nolte, Ilja M and Porteous, David J and Pouta, Anneli and Pramstaller, Peter P and Pullat, Janne and Ring, Susan M and Rotter, Jerome I and Ruggiero, Daniela and Ruokonen, Aimo and Sala, Cinzia and Samani, Nilesh J and Sambrook, Jennifer and Schlessinger, David and Schreiber, Stefan and Schunkert, Heribert and Scott, James and Smith, Nicholas L and Snieder, Harold and Starr, John M and Stumvoll, Michael and Takahashi, Atsushi and Tang, W H Wilson and Taylor, Kent and Tenesa, Albert and Lay Thein, Swee and T{\"o}njes, Anke and Uda, Manuela and Ulivi, Sheila and van Veldhuisen, Dirk J and Visscher, Peter M and V{\"o}lker, Uwe and Wichmann, H-Erich and Wiggins, Kerri L and Willemsen, Gonneke and Yang, Tsun-Po and Hua Zhao, Jing and Zitting, Paavo and Bradley, John R and Dedoussis, George V and Gasparini, Paolo and Hazen, Stanley L and Metspalu, Andres and Pirastu, Mario and Shuldiner, Alan R and Joost van Pelt, L and Zwaginga, Jaap-Jan and Boomsma, Dorret I and Deary, Ian J and Franke, Andre and Froguel, Philippe and Ganesh, Santhi K and Jarvelin, Marjo-Riitta and Martin, Nicholas G and Meisinger, Christa and Psaty, Bruce M and Spector, Timothy D and Wareham, Nicholas J and Akkerman, Jan-Willem N and Ciullo, Marina and Deloukas, Panos and Greinacher, Andreas and Jupe, Steve and Kamatani, Naoyuki and Khadake, Jyoti and Kooner, Jaspal S and Penninger, Josef and Prokopenko, Inga and Stemple, Derek and Toniolo, Daniela and Wernisch, Lorenz and Sanna, Serena and Hicks, Andrew A and Rendon, Augusto and Ferreira, Manuel A and Ouwehand, Willem H and Soranzo, Nicole} } @article {1313, title = {The Next PAGE in understanding complex traits: design for the analysis of Population Architecture Using Genetics and Epidemiology (PAGE) Study.}, journal = {Am J Epidemiol}, volume = {174}, year = {2011}, month = {2011 Oct 01}, pages = {849-59}, abstract = {

Genetic studies have identified thousands of variants associated with complex traits. However, most association studies are limited to populations of European descent and a single phenotype. The Population Architecture using Genomics and Epidemiology (PAGE) Study was initiated in 2008 by the National Human Genome Research Institute to investigate the epidemiologic architecture of well-replicated genetic variants associated with complex diseases in several large, ethnically diverse population-based studies. Combining DNA samples and hundreds of phenotypes from multiple cohorts, PAGE is well-suited to address generalization of associations and variability of effects in diverse populations; identify genetic and environmental modifiers; evaluate disease subtypes, intermediate phenotypes, and biomarkers; and investigate associations with novel phenotypes. PAGE investigators harmonize phenotypes across studies where possible and perform coordinated cohort-specific analyses and meta-analyses. PAGE researchers are genotyping thousands of genetic variants in up to 121,000 DNA samples from African-American, white, Hispanic/Latino, Asian/Pacific Islander, and American Indian participants. Initial analyses will focus on single nucleotide polymorphisms (SNPs) associated with obesity, lipids, cardiovascular disease, type 2 diabetes, inflammation, various cancers, and related biomarkers. PAGE SNPs are also assessed for pleiotropy using the "phenome-wide association study" approach, testing each SNP for associations with hundreds of phenotypes. PAGE data will be deposited into the National Center for Biotechnology Information{\textquoteright}s Database of Genotypes and Phenotypes and made available via a custom browser.

}, keywords = {Epidemiologic Methods, Epidemiologic Research Design, Ethnic Groups, Genetic Association Studies, Genetics, Population, Genome-Wide Association Study, Humans, Interinstitutional Relations, Multifactorial Inheritance, National Human Genome Research Institute (U.S.), Phenotype, Pilot Projects, Research Design, Risk Factors, United States}, issn = {1476-6256}, doi = {10.1093/aje/kwr160}, author = {Matise, Tara C and Ambite, Jose Luis and Buyske, Steven and Carlson, Christopher S and Cole, Shelley A and Crawford, Dana C and Haiman, Christopher A and Heiss, Gerardo and Kooperberg, Charles and Marchand, Loic Le and Manolio, Teri A and North, Kari E and Peters, Ulrike and Ritchie, Marylyn D and Hindorff, Lucia A and Haines, Jonathan L} } @article {1346, title = {NK-like T cells and plasma cytokines, but not anti-viral serology, define immune fingerprints of resilience and mild disability in exceptional aging.}, journal = {PLoS One}, volume = {6}, year = {2011}, month = {2011}, pages = {e26558}, abstract = {

Exceptional aging has been defined as maintenance of physical and cognitive function beyond the median lifespan despite a history of diseases and/or concurrent subclinical conditions. Since immunity is vital to individual fitness, we examined immunologic fingerprint(s) of highly functional elders. Therefore, survivors of the Cardiovascular Health Study in Pittsburgh, Pennsylvania, USA were recruited (n = 140; mean age = 86 years) and underwent performance testing. Blood samples were collected and examined blindly for humoral factors and T cell phenotypes. Based on results of physical and cognitive performance testing, elders were classified as "impaired" or "unimpaired", accuracy of group assignment was verified by discriminant function analysis. The two groups showed distinct immune profiles as determined by factor analysis. The dominant immune signature of impaired elders consisted of interferon (IFN)-γ, interleukin (IL)-6, tumor necrosis factor-α, and T cells expressing inhibitory natural killer-related receptors (NKR) CD158a, CD158e, and NKG2A. In contrast, the dominant signature of unimpaired elders consisted of IL-5, IL-12p70, and IL-13 with co-expression of IFN-γ, IL-4, and IL-17, and T cells expressing stimulatory NKRs CD56, CD16, and NKG2D. In logistic regression models, unimpaired phenotype was predicted independently by IL-5 and by CD4(+)CD28(null)CD56(+)CD57(+) T cells. All elders had high antibody titers to common viruses including cytomegalovirus. In cellular bioassays, T cell receptor (TCR)-independent ligation of either CD56 or NKG2D elicited activation of T cells. Collectively, these data demonstrate the importance of immunological parameters in distinguishing between health phenotypes of older adults. NKR(+) T cells and cytokine upregulation indicate a unique physiologic environment in old age. Correlation of particular NKR(+) T cell subsets and IL-5 with unimpaired performance, and NKR-driven TCR-independent activation of T cells suggest novel immunopathway(s) that could be exploited to improve immunity in old age.

}, keywords = {Adolescent, Adult, Aged, 80 and over, Aging, Cardiovascular Physiological Phenomena, CD56 Antigen, Cognition Disorders, Cytokines, Gene Expression Regulation, Humans, Immunity, Humoral, Killer Cells, Natural, Longevity, Male, NK Cell Lectin-Like Receptor Subfamily K, Phenotype, Physical Fitness, T-Lymphocyte Subsets, Young Adult}, issn = {1932-6203}, doi = {10.1371/journal.pone.0026558}, author = {Vallejo, Abbe N and Hamel, David L and Mueller, Robert G and Ives, Diane G and Michel, Joshua J and Boudreau, Robert M and Newman, Anne B} } @article {1242, title = {N-terminal pro-B-type natriuretic peptide is associated with sudden cardiac death risk: the Cardiovascular Health Study.}, journal = {Heart Rhythm}, volume = {8}, year = {2011}, month = {2011 Feb}, pages = {228-33}, abstract = {

BACKGROUND: Sudden cardiac death (SCD), the cause of 250,000-450,000 deaths per year, is a major public health problem. The majority of those affected do not have a prior cardiovascular diagnosis. Elevated B-type natriuretic peptide levels have been associated with the risk of heart failure and mortality as well as with sudden death in women.

OBJECTIVE: The purpose of this study was to examine the relationship between N-terminal pro-B-type natriuretic peptide (NT-proBNP) and SCD in the Cardiovascular Health Study population.

METHODS: The risk of SCD associated with baseline NT-proBNP was examined in 5,447 participants. Covariate-adjusted Cox model regressions were used to estimate the hazard ratios of developing SCD as a function of baseline NT-proBNP.

RESULTS: Over a median follow-up of 12.5 years (maximum 16), there were 289 cases of SCD. Higher NT-proBNP levels were strongly associated with SCD, with an unadjusted hazard ratio of 4.2 (95\% confidence interval [2.9, 6.1]; P <.001) in the highest quintile compared with in the lowest. NT-proBNP remained associated with SCD even after adjustment for numerous clinical characteristics and risk factors (age, sex, race, and other associated conditions), with an adjusted hazard ratio for the fifth versus the first quintile of 2.5 (95\% confidence interval [1.6, 3.8]; P <.001).

CONCLUSION: NT-proBNP provides information regarding the risk of SCD in a community-based population of older adults, beyond other traditional risk factors. This biomarker may ultimately prove useful in targeting the population at risk with aggressive medical management of comorbid conditions.

}, keywords = {Age Distribution, Aged, Biomarkers, Cardiovascular Diseases, Cohort Studies, Confidence Intervals, Death, Sudden, Cardiac, Female, Humans, Incidence, Kaplan-Meier Estimate, Male, Middle Aged, Natriuretic Peptide, Brain, Peptide Fragments, Predictive Value of Tests, Proportional Hazards Models, Retrospective Studies, Risk Assessment, Sex Distribution, Time Factors, United States}, issn = {1556-3871}, doi = {10.1016/j.hrthm.2010.10.038}, author = {Patton, Kristen K and Sotoodehnia, Nona and DeFilippi, Christopher and Siscovick, David S and Gottdiener, John S and Kronmal, Richard A} } @article {1373, title = {The natural history of subclinical hypothyroidism in the elderly: the cardiovascular health study.}, journal = {J Clin Endocrinol Metab}, volume = {97}, year = {2012}, month = {2012 Jun}, pages = {1962-9}, abstract = {

CONTEXT: Studies of long-term outcomes of subclinical hypothyroidism have assessed only baseline thyroid function, despite natural transitions to euthyroidism and overt hypothyroidism over time.

OBJECTIVE: We provide estimates of persistence, resolution, and progression of subclinical hypothyroidism over 4 yr, stratified by baseline TSH, anti-thyroid peroxidase antibody (TPOAb) status, age, and sex.

DESIGN, SETTING, AND PARTICIPANTS: Participants were 3996 U.S. individuals at least 65 yr old enrolled in the Cardiovascular Health Study. Subclinical hypothyroidism was detected at baseline in 459 individuals not taking thyroid medication.

MAIN OUTCOME MEASURE: Thyroid function was evaluated at 2 and 4 yr and initiation of thyroid medication annually. Results were stratified by baseline TSH, TPOAb status, age, and sex.

RESULTS: Persistence of subclinical hypothyroidism was 56\% at 2 and 4 yr. At 2 yr, resolution was more common with a TSH of 4.5-6.9 mU/liter (46 vs. 10\% with TSH 7-9.9 mU/liter and 7\% with TSH >=10 mU/liter; P < 0.001) and with TPOAb negativity (48 vs. 15\% for positive; P < 0.001). Higher TSH and TPOAb positivity were independently associated with lower likelihood of reversion to euthyroidism (P < 0.05). TSH of 10 mU/liter or higher was independently associated with progression to overt hypothyroidism (P < 0.05). Transitions between euthyroidism and subclinical hypothyroidism were common between 2 and 4 yr. Age and sex did not affect transitions.

CONCLUSIONS: Subclinical hypothyroidism persists for 4 yr in just over half of older individuals, with high rates of reversion to euthyroidism in individuals with lower TSH concentrations and TPOAb negativity. Future studies should examine the impact of transitions in thyroid status on clinical outcomes.

}, keywords = {Age Distribution, Aged, Aged, 80 and over, Autoantibodies, Cardiovascular Diseases, Cohort Studies, Disease Progression, Female, Humans, Hypothyroidism, Iodide Peroxidase, Logistic Models, Longitudinal Studies, Male, Prevalence, Risk Factors, Seroepidemiologic Studies, Severity of Illness Index, Sex Distribution, Thyrotropin}, issn = {1945-7197}, doi = {10.1210/jc.2011-3047}, author = {Somwaru, Lily L and Rariy, Chevon M and Arnold, Alice M and Cappola, Anne R} } @article {1558, title = {Nocturia, sleep-disordered breathing, and cardiovascular morbidity in a community-based cohort.}, journal = {PLoS One}, volume = {7}, year = {2012}, month = {2012}, pages = {e30969}, abstract = {

BACKGROUND: Nocturia has been independently associated with cardiovascular morbidity and all-cause mortality, but such studies did not adjust for sleep-disordered breathing (SDB), which may have mediated such a relationship. Our aims were to determine whether an association between nocturia and cardiovascular morbidity exists that is independent of SDB. We also determined whether nocturia is independently associated with SDB.

METHODOLOGY/PRINCIPAL FINDINGS: In order to accomplish these aims we performed a cross-sectional analysis of the Sleep Heart Health Study that contained information regarding SDB, nocturia, and cardiovascular morbidity in a middle-age to elderly community-based population. In 6342 participants (age 63{\textpm}11 [SD] years, 53\% women), after adjusting for known confounders such as age, body mass index, diuretic use, diabetes mellitus, alpha-blocker use, nocturia was independently associated with SDB (measured as Apnea Hypopnea index >15 per hour; OR 1.3; 95\%CI, 1.2-1.5). After adjusting for SDB and other known confounders, nocturia was independently associated with prevalent hypertension (OR 1.23; 95\%CI 1.08-1.40; P = 0.002), cardiovascular disease (OR 1.26; 95\%CI 1.05-1.52; P = 0.02) and stroke (OR 1.62; 95\%CI 1.14-2.30; P = 0.007). Moreover, nocturia was also associated with adverse objective alterations of sleep as measured by polysomnography and self-reported excessive daytime sleepiness (P<0.05).

CONCLUSIONS/SIGNIFICANCE: Nocturia is independently associated with sleep-disordered breathing. After adjusting for SDB, there remained an association between nocturia and cardiovascular morbidity. Such results support screening for SDB in patients with nocturia, but the mechanisms underlying the relationship between nocturia and cardiovascular morbidity requires further study. MeSH terms: Nocturia, sleep-disordered breathing, obstructive sleep apnea, sleep apnea, polysomnography, hypertension.

}, keywords = {Aged, Cardiovascular Diseases, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Nocturia, Polysomnography, Sleep Apnea Syndromes}, issn = {1932-6203}, doi = {10.1371/journal.pone.0030969}, author = {Parthasarathy, Sairam and Fitzgerald, MaryPat and Goodwin, James L and Unruh, Mark and Guerra, Stefano and Quan, Stuart F} } @article {1361, title = {Nonesterified fatty acids and risk of sudden cardiac death in older adults.}, journal = {Circ Arrhythm Electrophysiol}, volume = {5}, year = {2012}, month = {2012 Apr}, pages = {273-8}, abstract = {

BACKGROUND: Although nonesterified fatty acids (NEFA) have been positively associated with coronary heart disease risk factors, limited and inconsistent data are available on the relation between NEFA and sudden cardiac death.

METHODS AND RESULTS: Using a prospective design, we studied 4657 older men and women (mean age, 75 years) from the Cardiovascular Health Study (1992-2006) to evaluate the association between plasma NEFA and the risk of sudden cardiac death in older adults. Plasma concentrations of NEFA were measured using established enzymatic methods, and sudden death was adjudicated using medical records, death certificates, proxy interview, and autopsy reports. We used Cox proportional hazard models to estimate multivariable-adjusted relative risks. During a median follow-up of 10.0 years, 221 new cases of sudden cardiac death occurred. In a multivariable model adjusting for age, sex, race, clinic site, alcohol intake, smoking, prevalent coronary heart disease and heart failure, and self-reported health status, relative risks (95\% confidence interval) for sudden cardiac death were 1.0 (ref), 1.15 (0.81-1.64), 1.06 (0.72-1.55), and 0.91 (0.60-1.38) across consecutive quartiles of NEFA concentration. In secondary analyses restricted to the first 5 years of follow-up, we also did not observe a statistically significant association between plasma NEFA and sudden cardiac death.

CONCLUSIONS: Our data do not provide evidence for an association between plasma NEFA measured late in life and the risk of sudden cardiac death in older adults.

}, keywords = {Aged, Aged, 80 and over, Biomarkers, Death, Sudden, Cardiac, Fatty Acids, Nonesterified, Female, Follow-Up Studies, Humans, Incidence, Male, Proportional Hazards Models, Prospective Studies, Retrospective Studies, Risk Factors}, issn = {1941-3084}, doi = {10.1161/CIRCEP.111.967661}, author = {Djouss{\'e}, Luc and Biggs, Mary L and Ix, Joachim H and Kizer, Jorge R and Lemaitre, Rozenn N and Sotoodehnia, Nona and Zieman, Susan J and Mozaffarian, Dariush and Tracy, Russell P and Mukamal, Kenneth J and Siscovick, David S} } @article {1410, title = {Novel circulating fatty acid patterns and risk of cardiovascular disease: the Cardiovascular Health Study.}, journal = {Am J Clin Nutr}, volume = {96}, year = {2012}, month = {2012 Dec}, pages = {1252-61}, abstract = {

BACKGROUND: Complex interplays of diet and metabolism influence circulating fatty acids (FAs), possibly constituting FA patterns related to cardiovascular disease (CVD) risk.

OBJECTIVES: We aimed to derive FA patterns from circulating FAs, relate the patterns to CVD incidence, and extend the derived patterns to atherosclerosis progression in another independent cohort.

DESIGN: We used principal component analysis (PCA) to derive FA patterns from 38 plasma phospholipid FAs in 2972 older adults in the Cardiovascular Health Study (CHS). Identified patterns were evaluated for prospective associations with 14-y incidence of CVD [ischemic heart disease (IHD) or stroke]. In another independent cohort of postmenopausal women with IHD, we evaluated associations of the CHS-derived patterns with 3.2-y progression of angiographically defined coronary atherosclerosis.

RESULTS: Three distinct patterns were identified, characterized by higher proportions of trans FAs, de novo lipogenesis (DNL) FAs, and long-chain MUFAs (LCMUFAs). During 32,265 person-years, 780 incident CVD events occurred. The trans FA pattern was associated with higher CVD risk (multivariable-adjusted HR for the highest compared with the lowest quintiles = 1.58; 95\% CI: 1.17, 2.12; P-trend = 0.006), primarily attributable to higher risk of stroke (HR: 2.46; 95\% CI: 1.54, 3.92; P-trend = 0.005). The DNL and LCMUFA patterns were not associated with CVD incidence or with IHD or stroke (P-trend > 0.11 each). In the second cohort, the trans FA pattern, but not the other 2 patterns, was positively associated with progression of coronary atherosclerosis (P-trend < 0.05).

CONCLUSIONS: PCA appears to provide informative circulating FA patterns. A pattern driven mainly by trans FA levels related to greater CVD risk in older adults and coronary atherosclerosis progression in women with IHD.

}, keywords = {Aged, Aged, 80 and over, Biomarkers, Cardiovascular Diseases, Cohort Studies, Coronary Artery Disease, Disease Progression, Female, Follow-Up Studies, Humans, Incidence, Longitudinal Studies, Male, Middle Aged, Myocardial Ischemia, Principal Component Analysis, Proportional Hazards Models, Prospective Studies, Risk Factors, Stroke, Trans Fatty Acids, United States}, issn = {1938-3207}, doi = {10.3945/ajcn.112.039990}, author = {Imamura, Fumiaki and Lemaitre, Rozenn N and King, Irena B and Song, Xiaoling and Lichtenstein, Alice H and Matthan, Nirupa R and Herrington, David M and Siscovick, David S and Mozaffarian, Dariush} } @article {6084, title = {Novel loci associated with PR interval in a genome-wide association study of 10 African American cohorts.}, journal = {Circ Cardiovasc Genet}, volume = {5}, year = {2012}, month = {2012 Dec}, pages = {639-46}, abstract = {

BACKGROUND: The PR interval, as measured by the resting, standard 12-lead ECG, reflects the duration of atrial/atrioventricular nodal depolarization. Substantial evidence exists for a genetic contribution to PR, including genome-wide association studies that have identified common genetic variants at 9 loci influencing PR in populations of European and Asian descent. However, few studies have examined loci associated with PR in African Americans.

METHODS AND RESULTS: We present results from the largest genome-wide association study to date of PR in 13 415 adults of African descent from 10 cohorts. We tested for association between PR (ms) and ≈2.8 million genotyped and imputed single-nucleotide polymorphisms. Imputation was performed using HapMap 2 YRI and CEU panels. Study-specific results, adjusted for global ancestry and clinical correlates of PR, were meta-analyzed using the inverse variance method. Variation in genome-wide test statistic distributions was noted within studies (λ range: 0.9-1.1), although not after genomic control correction was applied to the overall meta-analysis (λ: 1.008). In addition to generalizing previously reported associations with MEIS1, SCN5A, ARHGAP24, CAV1, and TBX5 to African American populations at the genome-wide significance level (P<5.0 {\texttimes} 10(-8)), we also identified a novel locus: ITGA9, located in a region previously implicated in SCN5A expression. The 3p21 region harboring SCN5A also contained 2 additional independent secondary signals influencing PR (P<5.0 {\texttimes} 10(-8)).

CONCLUSIONS: This study demonstrates the ability to map novel loci in African Americans as well as the generalizability of loci associated with PR across populations of African, European, and Asian descent.

}, keywords = {Adult, African Americans, Cohort Studies, Electrocardiography, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.112.963991}, author = {Butler, Anne M and Yin, Xiaoyan and Evans, Daniel S and Nalls, Michael A and Smith, Erin N and Tanaka, Toshiko and Li, Guo and Buxbaum, Sarah G and Whitsel, Eric A and Alonso, Alvaro and Arking, Dan E and Benjamin, Emelia J and Berenson, Gerald S and Bis, Josh C and Chen, Wei and Deo, Rajat and Ellinor, Patrick T and Heckbert, Susan R and Heiss, Gerardo and Hsueh, Wen-Chi and Keating, Brendan J and Kerr, Kathleen F and Li, Yun and Limacher, Marian C and Liu, Yongmei and Lubitz, Steven A and Marciante, Kristin D and Mehra, Reena and Meng, Yan A and Newman, Anne B and Newton-Cheh, Christopher and North, Kari E and Palmer, Cameron D and Psaty, Bruce M and Quibrera, P Miguel and Redline, Susan and Reiner, Alex P and Rotter, Jerome I and Schnabel, Renate B and Schork, Nicholas J and Singleton, Andrew B and Smith, J Gustav and Soliman, Elsayed Z and Srinivasan, Sathanur R and Zhang, Zhu-Ming and Zonderman, Alan B and Ferrucci, Luigi and Murray, Sarah S and Evans, Michele K and Sotoodehnia, Nona and Magnani, Jared W and Avery, Christy L} } @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 {5855, title = {Neighborhood socioeconomic disadvantage and mortality after stroke.}, journal = {Neurology}, volume = {80}, year = {2013}, month = {2013 Feb 05}, pages = {520-7}, chapter = {520}, abstract = {

OBJECTIVE: Residence in a socioeconomically disadvantaged community is associated with mortality, but the mechanisms are not well understood. We examined whether socioeconomic features of the residential neighborhood contribute to poststroke mortality and whether neighborhood influences are mediated by traditional behavioral and biologic risk factors.

METHODS: We used data from the Cardiovascular Health Study, a multicenter, population-based, longitudinal study of adults >=65 years. Residential neighborhood disadvantage was measured using neighborhood socioeconomic status (NSES), a composite of 6 census tract variables representing income, education, employment, and wealth. Multilevel Cox proportional hazard models were constructed to determine the association of NSES to mortality after an incident stroke, adjusted for sociodemographic characteristics, stroke type, and behavioral and biologic risk factors.

RESULTS: Among the 3,834 participants with no prior stroke at baseline, 806 had a stroke over a mean 11.5 years of follow-up, with 168 (20\%) deaths 30 days after stroke and 276 (34\%) deaths at 1 year. In models adjusted for demographic characteristics, stroke type, and behavioral and biologic risk factors, mortality hazard 1 year after stroke was significantly higher among residents of neighborhoods with the lowest NSES than those in the highest NSES neighborhoods (hazard ratio 1.77, 95\% confidence interval 1.17-2.68).

CONCLUSION: Living in a socioeconomically disadvantaged neighborhood is associated with higher mortality hazard at 1 year following an incident stroke. Further work is needed to understand the structural and social characteristics of neighborhoods that may contribute to mortality in the year after a stroke and the pathways through which these characteristics operate.

}, keywords = {Aged, Female, Humans, Incidence, Kaplan-Meier Estimate, Male, Proportional Hazards Models, Residence Characteristics, Risk Factors, Socioeconomic Factors, Stroke, Vulnerable Populations}, issn = {1526-632X}, doi = {10.1212/WNL.0b013e31828154ae}, author = {Brown, Arleen F and Liang, Li-Jung and Vassar, Stefanie D and Merkin, Sharon Stein and Longstreth, W T and Ovbiagele, Bruce and Yan, Tingjian and Escarce, Jos{\'e} J} } @article {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 {6667, title = {No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e111156}, abstract = {

Plasma fibrinogen is an acute phase protein playing an important role in the blood coagulation cascade having strong associations with smoking, alcohol consumption and body mass index (BMI). Genome-wide association studies (GWAS) have identified a variety of gene regions associated with elevated plasma fibrinogen concentrations. However, little is yet known about how associations between environmental factors and fibrinogen might be modified by genetic variation. Therefore, we conducted large-scale meta-analyses of genome-wide interaction studies to identify possible interactions of genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentration. The present study included 80,607 subjects of European ancestry from 22 studies. Genome-wide interaction analyses were performed separately in each study for about 2.6 million single nucleotide polymorphisms (SNPs) across the 22 autosomal chromosomes. For each SNP and risk factor, we performed a linear regression under an additive genetic model including an interaction term between SNP and risk factor. Interaction estimates were meta-analysed using a fixed-effects model. No genome-wide significant interaction with smoking status, alcohol consumption or BMI was observed in the meta-analyses. The most suggestive interaction was found for smoking and rs10519203, located in the LOC123688 region on chromosome 15, with a p value of 6.2 {\texttimes} 10(-8). This large genome-wide interaction study including 80,607 participants found no strong evidence of interaction between genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentrations. Further studies are needed to yield deeper insight in the interplay between environmental factors and gene variants on the regulation of fibrinogen concentrations.

}, keywords = {Alcohol Drinking, Body Mass Index, Fibrinogen, Gene-Environment Interaction, Genomics, Humans, Smoking}, issn = {1932-6203}, doi = {10.1371/journal.pone.0111156}, author = {Baumert, Jens and Huang, Jie and McKnight, Barbara and Sabater-Lleal, Maria and Steri, Maristella and Chu, Audrey Y and Trompet, Stella and Lopez, Lorna M and Fornage, Myriam and Teumer, Alexander and Tang, Weihong and Rudnicka, Alicja R and M{\"a}larstig, Anders and Hottenga, Jouke-Jan and Kavousi, Maryam and Lahti, Jari and Tanaka, Toshiko and Hayward, Caroline and Huffman, Jennifer E and Morange, Pierre-Emmanuel and Rose, Lynda M and Basu, Saonli and Rumley, Ann and Stott, David J and Buckley, Brendan M and de Craen, Anton J M and Sanna, Serena and Masala, Marco and Biffar, Reiner and Homuth, Georg and Silveira, Angela and Sennblad, Bengt and Goel, Anuj and Watkins, Hugh and M{\"u}ller-Nurasyid, Martina and R{\"u}ckerl, Regina and Taylor, Kent and Chen, Ming-Huei and de Geus, Eco J C and Hofman, Albert and Witteman, Jacqueline C M and de Maat, Moniek P M and Palotie, Aarno and Davies, Gail and Siscovick, David S and Kolcic, Ivana and Wild, Sarah H and Song, Jaejoon and McArdle, Wendy L and Ford, Ian and Sattar, Naveed and Schlessinger, David and Grotevendt, Anne and Franzosi, Maria Grazia and Illig, Thomas and Waldenberger, Melanie and Lumley, Thomas and Tofler, Geoffrey H and Willemsen, Gonneke and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and R{\"a}ikk{\"o}nen, Katri and Chasman, Daniel I and Folsom, Aaron R and Lowe, Gordon D and Westendorp, Rudi G J and Slagboom, P Eline and Cucca, Francesco and Wallaschofski, Henri and Strawbridge, Rona J and Seedorf, Udo and Koenig, Wolfgang and Bis, Joshua C and Mukamal, Kenneth J and van Dongen, Jenny and Widen, Elisabeth and Franco, Oscar H and Starr, John M and Liu, Kiang and Ferrucci, Luigi and Polasek, Ozren and Wilson, James F and Oudot-Mellakh, Tiphaine and Campbell, Harry and Navarro, Pau and Bandinelli, Stefania and Eriksson, Johan and Boomsma, Dorret I and Dehghan, Abbas and Clarke, Robert and Hamsten, Anders and Boerwinkle, Eric and Jukema, J Wouter and Naitza, Silvia and Ridker, Paul M and V{\"o}lzke, Henry and Deary, Ian J and Reiner, Alexander P and Tr{\'e}gou{\"e}t, David-Alexandre and O{\textquoteright}Donnell, Christopher J and Strachan, David P and Peters, Annette and Smith, Nicholas L} } @article {6133, title = {Novel gene variants predict serum levels of the cytokines IL-18 and IL-1ra in older adults.}, journal = {Cytokine}, volume = {65}, year = {2014}, month = {2014 Jan}, pages = {10-6}, abstract = {

Activation of inflammatory pathways measured by serum inflammatory markers such as interleukin-18 (IL-18) and interleukin-1 receptor antagonist (IL-1ra) is strongly associated with the progression of chronic disease states in older adults. Given that these serum cytokine levels are in part a heritable trait, genetic variation may predict increased serum levels. Using the Cardiovascular Health Study and InCHIANTI cohorts, a genome-wide association study was performed to identify genetic variants that influence IL-18 and IL-1ra serum levels among older adults. Multiple linear regression models characterized the association between each SNP and log-transformed cytokine values. Tests for multiple independent signals within statistically significant loci were performed using haplotype analysis and regression models conditional on lead SNP in each region. Multiple SNPs were associated with these cytokines with genome-wide significance, including SNPs in the IL-18-BCO gene region of chromosome 2 for IL-18 (top SNP rs2250417, P=1.9{\texttimes}10(-32)) and in the IL-1 gene family region of chromosome 2 for IL-1ra (rs6743376, P=2.3{\texttimes}10(-26)). Haplotype tests and conditional linear regression models showed evidence of multiple independent signals in these regions. Serum IL-18 levels were also associated with a region on chromosome 2 containing the NLRC4 gene (rs12989936, P=2.7{\texttimes}10(-19)). These data characterize multiple robust genetic signals that influence IL-18 and IL-1ra cytokine production. In particular, the signal for serum IL-18 located on chromosome two is novel and potentially important in inflammasome triggered chronic activation of inflammation in older adults. Replication in independent cohorts is an important next step, as well as molecular studies to better understand the role of NLRC4.

}, keywords = {Aged, Aged, 80 and over, Calcium-Binding Proteins, CARD Signaling Adaptor Proteins, Chromosomes, Human, Pair 2, Female, Genetic Variation, Genome-Wide Association Study, Genotype, Haplotypes, Humans, Inflammation, Interleukin 1 Receptor Antagonist Protein, Interleukin-18, Male, Polymorphism, Single Nucleotide}, issn = {1096-0023}, doi = {10.1016/j.cyto.2013.10.002}, author = {Matteini, A M and Li, J and Lange, E M and Tanaka, T and Lange, L A and Tracy, R P and Wang, Y and Biggs, M L and Arking, D E and Fallin, M D and Chakravarti, A and Psaty, B M and Bandinelli, S and Ferrucci, L and Reiner, A P and Walston, J D} } @article {6820, title = {Novel genetic markers associate with atrial fibrillation risk in Europeans and Japanese.}, journal = {J Am Coll Cardiol}, volume = {63}, year = {2014}, month = {2014 Apr 1}, pages = {1200-10}, abstract = {

OBJECTIVES: This study sought to identify nonredundant atrial fibrillation (AF) genetic susceptibility signals and examine their cumulative relations with AF risk.

BACKGROUND: AF-associated loci span broad genomic regions that may contain multiple susceptibility signals. Whether multiple signals exist at AF loci has not been systematically explored.

METHODS: We performed association testing conditioned on the most significant, independently associated genetic markers at 9 established AF loci using 2 complementary techniques in 64,683 individuals of European ancestry (3,869 incident and 3,302 prevalent AF cases). Genetic risk scores were created and tested for association with AF in Europeans and an independent sample of 11,309 individuals of Japanese ancestry (7,916 prevalent AF cases).

RESULTS: We observed at least 4 distinct AF susceptibility signals on chromosome 4q25 upstream of PITX2, but not at the remaining 8 AF loci. A multilocus score comprised 12 genetic markers demonstrated an estimated 5-fold gradient in AF risk. We observed a similar spectrum of risk associated with these markers in Japanese. Regions containing AF signals on chromosome 4q25 displayed a greater degree of evolutionary conservation than the remainder of the locus, suggesting that they may tag regulatory elements.

CONCLUSIONS: The chromosome 4q25 AF locus is architecturally complex and harbors at least 4 AF susceptibility signals in individuals of European ancestry. Similar polygenic AF susceptibility exists between Europeans and Japanese. Future work is necessary to identify causal variants, determine mechanisms by which associated loci predispose to AF, and explore whether AF susceptibility signals classify individuals at risk for AF and related morbidity.

}, keywords = {Adult, Aged, Aged, 80 and over, Asian Continental Ancestry Group, Atrial Fibrillation, Chromosome Mapping, Chromosomes, Human, Pair 4, Europe, European Continental Ancestry Group, Female, Genetic Markers, Genetic Predisposition to Disease, Homeodomain Proteins, Humans, Japan, Male, Middle Aged, Polymorphism, Single Nucleotide, Transcription Factors}, issn = {1558-3597}, doi = {10.1016/j.jacc.2013.12.015}, author = {Lubitz, Steven A and Lunetta, Kathryn L and Lin, Honghuang and Arking, Dan E and Trompet, Stella and Li, Guo and Krijthe, Bouwe P and Chasman, Daniel I and Barnard, John and Kleber, Marcus E and D{\"o}rr, Marcus and Ozaki, Kouichi and Smith, Albert V and M{\"u}ller-Nurasyid, Martina and Walter, Stefan and Agarwal, Sunil K and Bis, Joshua C and Brody, Jennifer A and Chen, Lin Y and Everett, Brendan M and Ford, Ian and Franco, Oscar H and Harris, Tamara B and Hofman, Albert and K{\"a}{\"a}b, Stefan and Mahida, Saagar and Kathiresan, Sekar and Kubo, Michiaki and Launer, Lenore J and Macfarlane, Peter W and Magnani, Jared W and McKnight, Barbara and McManus, David D and Peters, Annette and Psaty, Bruce M and Rose, Lynda M and Rotter, Jerome I and Silbernagel, Guenther and Smith, Jonathan D and Sotoodehnia, Nona and Stott, David J and Taylor, Kent D and Tomaschitz, Andreas and Tsunoda, Tatsuhiko and Uitterlinden, Andr{\'e} G and Van Wagoner, David R and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Murabito, Joanne M and Sinner, Moritz F and Gudnason, Vilmundur and Felix, Stephan B and M{\"a}rz, Winfried and Chung, Mina and Albert, Christine M and Stricker, Bruno H and Tanaka, Toshihiro and Heckbert, Susan R and Jukema, J Wouter and Alonso, Alvaro and Benjamin, Emelia J and Ellinor, Patrick T} } @article {6566, title = {Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association Study.}, journal = {Mol Psychiatry}, volume = {20}, year = {2015}, month = {2015 Oct}, pages = {1232-9}, abstract = {

Usual sleep duration is a heritable trait correlated with psychiatric morbidity, cardiometabolic disease and mortality, although little is known about the genetic variants influencing this trait. A genome-wide association study (GWAS) of usual sleep duration was conducted using 18 population-based cohorts totaling 47 180 individuals of European ancestry. Genome-wide significant association was identified at two loci. The strongest is located on chromosome 2, in an intergenic region 35- to 80-kb upstream from the thyroid-specific transcription factor PAX8 (lowest P=1.1 {\texttimes} 10(-9)). This finding was replicated in an African-American sample of 4771 individuals (lowest P=9.3 {\texttimes} 10(-4)). The strongest combined association was at rs1823125 (P=1.5 {\texttimes} 10(-10), minor allele frequency 0.26 in the discovery sample, 0.12 in the replication sample), with each copy of the minor allele associated with a sleep duration 3.1 min longer per night. The alleles associated with longer sleep duration were associated in previous GWAS with a more favorable metabolic profile and a lower risk of attention deficit hyperactivity disorder. Understanding the mechanisms underlying these associations may help elucidate biological mechanisms influencing sleep duration and its association with psychiatric, metabolic and cardiovascular disease.

}, keywords = {Adult, African Americans, Aged, Dyssomnias, European Continental Ancestry Group, Female, Genetic Association Studies, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Self Report, Sleep}, issn = {1476-5578}, doi = {10.1038/mp.2014.133}, author = {Gottlieb, D J and Hek, K and Chen, T-H and Watson, N F and Eiriksdottir, G and Byrne, E M and Cornelis, M and Warby, S C and Bandinelli, S and Cherkas, L and Evans, D S and Grabe, H J and Lahti, J and Li, M and Lehtim{\"a}ki, T and Lumley, T and Marciante, K D and P{\'e}russe, L and Psaty, B M and Robbins, J and Tranah, G J and Vink, J M and Wilk, J B and Stafford, J M and Bellis, C and Biffar, R and Bouchard, C and Cade, B and Curhan, G C and Eriksson, J G and Ewert, R and Ferrucci, L and F{\"u}l{\"o}p, T and Gehrman, P R and Goodloe, R and Harris, T B and Heath, A C and Hernandez, D and Hofman, A and Hottenga, J-J and Hunter, D J and Jensen, M K and Johnson, A D and K{\"a}h{\"o}nen, M and Kao, L and Kraft, P and Larkin, E K and Lauderdale, D S and Luik, A I and Medici, M and Montgomery, G W and Palotie, A and Patel, S R and Pistis, G and Porcu, E and Quaye, L and Raitakari, O and Redline, S and Rimm, E B and Rotter, J I and Smith, A V and Spector, T D and Teumer, A and Uitterlinden, A G and Vohl, M-C and Widen, E and Willemsen, G and Young, T and Zhang, X and Liu, Y and Blangero, J and Boomsma, D I and Gudnason, V and Hu, F and Mangino, M and Martin, N G and O{\textquoteright}Connor, G T and Stone, K L and Tanaka, T and Viikari, J and Gharib, S A and Punjabi, N M and R{\"a}ikk{\"o}nen, K and V{\"o}lzke, H and Mignot, E and Tiemeier, H} } @article {6661, title = {NT-proBNP and troponin T and risk of rapid kidney function decline and incident CKD in elderly adults.}, journal = {Clin J Am Soc Nephrol}, volume = {10}, year = {2015}, month = {2015 Feb 6}, pages = {205-14}, abstract = {

BACKGROUND AND OBJECTIVES: Elevations in N-terminal pro-B-type natriuretic peptide and high-sensitivity troponin T are associated with poor cardiovascular outcomes. Whether elevations in these cardiac biomarkers are associated with decline in kidney function was evaluated.

DESIGN, SETTING, PARTICIPANTS, \& MEASUREMENTS: N-terminal pro-B-type natriuretic peptide and troponin T were measured at baseline in 3752 participants free of heart failure in the Cardiovascular Health Study. eGFR was determined from the Chronic Kidney Disease Epidemiology Collaboration equation using serum cystatin C. Rapid decline in kidney function was defined as decline in serum cystatin C eGFR>=30\%, and incident CKD was defined as the onset of serum cystatin C eGFR<60 among those without CKD at baseline (n=2786). Cox regression models were used to examine the associations of each biomarker with kidney function decline adjusting for demographics, baseline serum cystatin C eGFR, diabetes, and other CKD risk factors.

RESULTS: In total, 503 participants had rapid decline in serum cystatin C eGFR over a mean follow-up time of 6.41 (1.81) years, and 685 participants developed incident CKD over a mean follow-up time of 6.41 (1.74) years. Participants in the highest quartile of N-terminal pro-B-type natriuretic peptide (>237 pg/ml) had an 67\% higher risk of rapid decline and 38\% higher adjusted risk of incident CKD compared with participants in the lowest quartile (adjusted hazard ratio for serum cystatin C eGFR rapid decline, 1.67; 95\% confidence interval, 1.25 to 2.23; hazard ratio for incident CKD, 1.38; 95\% confidence interval, 1.08 to 1.76). Participants in the highest category of troponin T (>10.58 pg/ml) had 80\% greater risk of rapid decline compared with participants in the lowest category (adjusted hazard ratio, 1.80; 95\% confidence interval, 1.35 to 2.40). The association of troponin T with incident CKD was not statistically significant (hazard ratio, 1.17; 95\% confidence interval, 0.92 to 1.50).

CONCLUSIONS: Elevated N-terminal pro-B-type natriuretic peptide and troponin T are associated with rapid decline of kidney function and incident CKD. Additional studies are needed to evaluate the mechanisms that may explain this association.

}, keywords = {Age Factors, Aged, Aging, Biomarkers, Cystatin C, Disease Progression, Female, Glomerular Filtration Rate, Humans, Incidence, Kidney, Linear Models, Longitudinal Studies, Male, Natriuretic Peptide, Brain, Peptide Fragments, Predictive Value of Tests, Prognosis, Proportional Hazards Models, Prospective Studies, Renal Insufficiency, Chronic, Risk Factors, Time Factors, Troponin T, United States, Up-Regulation}, issn = {1555-905X}, doi = {10.2215/CJN.04910514}, author = {Bansal, Nisha and Katz, Ronit and Dalrymple, Lorien and de Boer, Ian and DeFilippi, Christopher and Kestenbaum, Bryan and Park, Meyeon and Sarnak, Mark and Seliger, Stephen and Shlipak, Michael} } @article {8567, title = {Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis.}, journal = {Lancet Diabetes Endocrinol}, volume = {4}, year = {2016}, month = {2016 10}, pages = {840-9}, abstract = {

BACKGROUND: Guidelines for primary prevention of cardiovascular diseases focus on prediction of coronary heart disease and stroke. We assessed whether or not measurement of N-terminal-pro-B-type natriuretic peptide (NT-proBNP) concentration could enable a more integrated approach than at present by predicting heart failure and enhancing coronary heart disease and stroke risk assessment.

METHODS: In this individual-participant-data meta-analysis, we generated and harmonised individual-participant data from relevant prospective studies via both de-novo NT-proBNP concentration measurement of stored samples and collection of data from studies identified through a systematic search of the literature (PubMed, Scientific Citation Index Expanded, and Embase) for articles published up to Sept 4, 2014, using search terms related to natriuretic peptide family members and the primary outcomes, with no language restrictions. We calculated risk ratios and measures of risk discrimination and reclassification across predicted 10 year risk categories (ie, <5\%, 5\% to <7{\textperiodcentered}5\%, and >=7{\textperiodcentered}5\%), adding assessment of NT-proBNP concentration to that of conventional risk factors (ie, age, sex, smoking status, systolic blood pressure, history of diabetes, and total and HDL cholesterol concentrations). Primary outcomes were the combination of coronary heart disease and stroke, and the combination of coronary heart disease, stroke, and heart failure.

FINDINGS: We recorded 5500 coronary heart disease, 4002 stroke, and 2212 heart failure outcomes among 95 617 participants without a history of cardiovascular disease in 40 prospective studies. Risk ratios (for a comparison of the top third vs bottom third of NT-proBNP concentrations, adjusted for conventional risk factors) were 1{\textperiodcentered}76 (95\% CI 1{\textperiodcentered}56-1{\textperiodcentered}98) for the combination of coronary heart disease and stroke and 2{\textperiodcentered}00 (1{\textperiodcentered}77-2{\textperiodcentered}26) for the combination of coronary heart disease, stroke, and heart failure. Addition of information about NT-proBNP concentration to a model containing conventional risk factors was associated with a C-index increase of 0{\textperiodcentered}012 (0{\textperiodcentered}010-0{\textperiodcentered}014) and a net reclassification improvement of 0{\textperiodcentered}027 (0{\textperiodcentered}019-0{\textperiodcentered}036) for the combination of coronary heart disease and stroke and a C-index increase of 0{\textperiodcentered}019 (0{\textperiodcentered}016-0{\textperiodcentered}022) and a net reclassification improvement of 0{\textperiodcentered}028 (0{\textperiodcentered}019-0{\textperiodcentered}038) for the combination of coronary heart disease, stroke, and heart failure.

INTERPRETATION: In people without baseline cardiovascular disease, NT-proBNP concentration assessment strongly predicted first-onset heart failure and augmented coronary heart disease and stroke prediction, suggesting that NT-proBNP concentration assessment could be used to integrate heart failure into cardiovascular disease primary prevention.

FUNDING: British Heart Foundation, Austrian Science Fund, UK Medical Research Council, National Institute for Health Research, European Research Council, and European Commission Framework Programme 7.

}, keywords = {Aged, Biomarkers, Cardiovascular Diseases, Female, Humans, Male, Middle Aged, Natriuretic Peptide, Brain, Peptide Fragments, Prospective Studies, Risk Assessment}, issn = {2213-8595}, doi = {10.1016/S2213-8587(16)30196-6}, author = {Willeit, Peter and Kaptoge, Stephen and Welsh, Paul and Butterworth, Adam and Chowdhury, Rajiv and Spackman, Sarah and Pennells, Lisa and Gao, Pei and Burgess, Stephen and Freitag, Daniel and Sweeting, Michael and Wood, Angela and Cook, Nancy and Judd, Suzanne and Trompet, Stella and Nambi, Vijay and Olsen, Michael and Everett, Brendan and Kee, Frank and Arnl{\"o}v, Johan and Salomaa, Veikko and Levy, Daniel and Kauhanen, Jussi and Laukkanen, Jari and Kavousi, Maryam and Ninomiya, Toshiharu and Casas, Juan-Pablo and Daniels, Lori and Lind, Lars and Kistorp, Caroline and Rosenberg, Jens and Mueller, Thomas and Rubattu, Speranza and Panagiotakos, Demosthenes and Franco, Oscar and de Lemos, James and Luchner, Andreas and Kizer, Jorge and Kiechl, Stefan and Salonen, Jukka and Goya Wannamethee, S and de Boer, Rudolf and Nordestgaard, B{\o}rge and Andersson, Jonas and J{\o}rgensen, Torben and Melander, Olle and Ballantyne, Christie and DeFilippi, Christopher and Ridker, Paul and Cushman, Mary and Rosamond, Wayne and Thompson, Simon and Gudnason, Vilmundur and Sattar, Naveed and Danesh, John and Di Angelantonio, Emanuele} } @article {7003, title = {Neighborhood Characteristics are Associated with Racial and Gender Variation in Walking among Older Adults: the Cardiovascular Health Study.}, journal = {Ethn Dis}, volume = {26}, year = {2016}, month = {2016 Jan 21}, pages = {17-26}, abstract = {

OBJECTIVE: To examine variation by race and gender in the association between neighborhood socioeconomic status and walking among community-dwelling older adults.

DESIGN: Cross-sectional.

SETTING: Cardiovascular Health Study, a longitudinal population-based cohort.

PARTICIPANTS: 4,849 adults, aged > 65 years.

MEASUREMENTS: Participants reported the number of city blocks walked in the prior week. Neighborhood socioeconomic status (NSES) was measured at the level of the census tract. Negative binominal regression models were constructed to test the association between NSES and blocks walked. In the fully adjusted models, we included two-way and three-way interaction terms among race, gender, and NSES.

RESULTS: In adjusted analyses, among White residents in the lowest NSES quartile (most disadvantaged), men walked 64\% more than women (P<.001), while in the highest NSES (most advantaged), men walked 43\% more than women (P<.001). Among African American residents in the lowest NSES quartile, men walked 196\% more blocks than women (P<.001).

CONCLUSIONS: Female gender is more strongly associated with walking for African Americans than for Whites in low SES neighborhoods but had a similar association with walking for both African Americans and Whites in high SES neighborhoods.

}, issn = {1049-510X}, doi = {10.18865/ed.26.1.17}, author = {Yan, Tingjian and Liang, Li-Jung and Vassar, Stefanie and Katz, Monica Cheung and Escarce, Jos{\'e} J and Longstreth, W T Jr and Merkin, Sharon Stein and Brown, Arleen F} } @article {7132, title = {Neighborhood Socioeconomic Status and Cognitive Function in Late Life.}, journal = {Am J Epidemiol}, volume = {183}, year = {2016}, month = {2016 Jun 15}, pages = {1088-97}, abstract = {

Neighborhood socioeconomic status (NSES) is associated with cognitive function, independently of individual demographic, health, and socioeconomic characteristics. However, research has been largely cross-sectional, and mechanisms of the association are unknown. In 1992-1993, Cardiovascular Health Study participants (n = 3,595; mean age = 74.8 years; 15.7\% black) underwent cognitive testing and magnetic resonance imaging of white matter hyperintensities (WMH), and their addresses were geocoded. NSES was calculated using 1990 US Census data (block groups; 6 measures of wealth, education, and occupation). The Modified Mini-Mental State Examination (3MS) was used to assess general cognition, and the Digit Symbol Substitution Test (DSST) was used to assess speed of processing annually for 6 years. Associations of race-specific NSES tertiles with 3MS, DSST, and WMH were estimated using linear mixed-effects models accounting for geographic clustering, stratified by race, and adjusted for demographic, health, and individual socioeconomic status (education, income, lifetime occupational status) variables. In fully adjusted models, higher NSES was associated with higher 3MS scores in blacks (mean difference between highest and lowest NSES = 2.4 points; P = 0.004) and whites (mean difference = 0.7 points; P = 0.02) at baseline but not with changes in 3MS over time. NSES was marginally associated with DSST and was not associated with WMH. Adjustment for WMH did not attenuate NSES-3MS associations. Associations of NSES with cognition in late adulthood differ by race, are not explained by WMH, and are evident only at baseline.

}, issn = {1476-6256}, doi = {10.1093/aje/kwv337}, author = {Rosso, Andrea L and Flatt, Jason D and Carlson, Michelle C and Lovasi, Gina S and Rosano, Caterina and Brown, Arleen F and Matthews, Karen A and Gianaros, Peter J} } @article {6680, title = {A novel Alzheimer disease locus located near the gene encoding tau protein.}, journal = {Mol Psychiatry}, volume = {21}, year = {2016}, month = {2016 Jan}, pages = {108-17}, abstract = {

APOE ɛ4, the most significant genetic risk factor for Alzheimer disease (AD), may mask effects of other loci. We re-analyzed genome-wide association study (GWAS) data from the International Genomics of Alzheimer{\textquoteright}s Project (IGAP) Consortium in APOE ɛ4+ (10 352 cases and 9207 controls) and APOE ɛ4- (7184 cases and 26 968 controls) subgroups as well as in the total sample testing for interaction between a single-nucleotide polymorphism (SNP) and APOE ɛ4 status. Suggestive associations (P<1 {\texttimes} 10(-4)) in stage 1 were evaluated in an independent sample (stage 2) containing 4203 subjects (APOE ɛ4+: 1250 cases and 536 controls; APOE ɛ4-: 718 cases and 1699 controls). Among APOE ɛ4- subjects, novel genome-wide significant (GWS) association was observed with 17 SNPs (all between KANSL1 and LRRC37A on chromosome 17 near MAPT) in a meta-analysis of the stage 1 and stage 2 data sets (best SNP, rs2732703, P=5{\textperiodcentered}8 {\texttimes} 10(-9)). Conditional analysis revealed that rs2732703 accounted for association signals in the entire 100-kilobase region that includes MAPT. Except for previously identified AD loci showing stronger association in APOE ɛ4+ subjects (CR1 and CLU) or APOE ɛ4- subjects (MS4A6A/MS4A4A/MS4A6E), no other SNPs were significantly associated with AD in a specific APOE genotype subgroup. In addition, the finding in the stage 1 sample that AD risk is significantly influenced by the interaction of APOE with rs1595014 in TMEM106B (P=1{\textperiodcentered}6 {\texttimes} 10(-7)) is noteworthy, because TMEM106B variants have previously been associated with risk of frontotemporal dementia. Expression quantitative trait locus analysis revealed that rs113986870, one of the GWS SNPs near rs2732703, is significantly associated with four KANSL1 probes that target transcription of the first translated exon and an untranslated exon in hippocampus (P ⩽ 1.3 {\texttimes} 10(-8)), frontal cortex (P ⩽ 1.3 {\texttimes} 10(-9)) and temporal cortex (P⩽1.2 {\texttimes} 10(-11)). Rs113986870 is also strongly associated with a MAPT probe that targets transcription of alternatively spliced exon 3 in frontal cortex (P=9.2 {\texttimes} 10(-6)) and temporal cortex (P=2.6 {\texttimes} 10(-6)). Our APOE-stratified GWAS is the first to show GWS association for AD with SNPs in the chromosome 17q21.31 region. Replication of this finding in independent samples is needed to verify that SNPs in this region have significantly stronger effects on AD risk in persons lacking APOE ɛ4 compared with persons carrying this allele, and if this is found to hold, further examination of this region and studies aimed at deciphering the mechanism(s) are warranted.

}, keywords = {Alzheimer Disease, Apolipoprotein E4, Chromosomes, Human, Pair 17, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, tau Proteins}, issn = {1476-5578}, doi = {10.1038/mp.2015.23}, author = {Jun, G and Ibrahim-Verbaas, C A and Vronskaya, M and Lambert, J-C and Chung, J and Naj, A C and Kunkle, B W and Wang, L-S and Bis, J C and Bellenguez, C and Harold, D and Lunetta, K L and DeStefano, A L and Grenier-Boley, B and Sims, R and Beecham, G W and Smith, A V and Chouraki, V and Hamilton-Nelson, K L and Ikram, M A and Fi{\'e}vet, N and Denning, N and Martin, E R and Schmidt, H and Kamatani, Y and Dunstan, M L and Valladares, O and Laza, A R and Zelenika, D and Ramirez, A and Foroud, T M and Choi, S-H and Boland, A and Becker, T and Kukull, W A and van der Lee, S J and Pasquier, F and Cruchaga, C and Beekly, D and Fitzpatrick, A L and Hanon, O and Gill, M and Barber, R and Gudnason, V and Campion, D and Love, S and Bennett, D A and Amin, N and Berr, C and Tsolaki, Magda and Buxbaum, J D and Lopez, O L and Deramecourt, V and Fox, N C and Cantwell, L B and T{\'a}rraga, L and Dufouil, C and Hardy, J and Crane, P K and Eiriksdottir, G and Hannequin, D and Clarke, R and Evans, D and Mosley, T H and Letenneur, L and Brayne, C and Maier, W and De Jager, P and Emilsson, V and Dartigues, J-F and Hampel, H and Kamboh, M I and de Bruijn, R F A G and Tzourio, C and Pastor, P and Larson, E B and Rotter, J I and O{\textquoteright}Donovan, M C and Montine, T J and Nalls, M A and Mead, S and Reiman, E M and Jonsson, P V and Holmes, C and St George-Hyslop, P H and Boada, M and Passmore, P and Wendland, J R and Schmidt, R and Morgan, K and Winslow, A R and Powell, J F and Carasquillo, M and Younkin, S G and Jakobsd{\'o}ttir, J and Kauwe, J S K and Wilhelmsen, K C and Rujescu, D and N{\"o}then, M M and Hofman, A and Jones, L and Haines, J L and Psaty, B M and Van Broeckhoven, C and Holmans, P and Launer, L J and Mayeux, R and Lathrop, M and Goate, A M and Escott-Price, V and Seshadri, S and Pericak-Vance, M A and Amouyel, P and Williams, J and van Duijn, C M and Schellenberg, G D and Farrer, L A} } @article {6900, title = {Novel Genetic Loci Associated With Retinal Microvascular Diameter.}, journal = {Circ Cardiovasc Genet}, volume = {9}, year = {2016}, month = {2016 Feb}, pages = {45-54}, abstract = {

BACKGROUND: There is increasing evidence that retinal microvascular diameters are associated with cardiovascular and cerebrovascular conditions. The shared genetic effects of these associations are currently unknown. The aim of this study was to increase our understanding of the genetic factors that mediate retinal vessel size.

METHODS AND RESULTS: This study extends previous genome-wide association study results using 24 000+ multiethnic participants from 7 discovery cohorts and 5000+ subjects of European ancestry from 2 replication cohorts. Using the Illumina HumanExome BeadChip, we investigate the association of single-nucleotide polymorphisms and variants collectively across genes with summary measures of retinal vessel diameters, referred to as the central retinal venule equivalent and the central retinal arteriole equivalent. We report 4 new loci associated with central retinal venule equivalent, one of which is also associated with central retinal arteriole equivalent. The 4 single-nucleotide polymorphisms are rs7926971 in TEAD1 (P=3.1{\texttimes}10(-) (11); minor allele frequency=0.43), rs201259422 in TSPAN10 (P=4.4{\texttimes}10(-9); minor allele frequency=0.27), rs5442 in GNB3 (P=7.0{\texttimes}10(-10); minor allele frequency=0.05), and rs1800407 in OCA2 (P=3.4{\texttimes}10(-8); minor allele frequency=0.05). The latter single-nucleotide polymorphism, rs1800407, was also associated with central retinal arteriole equivalent (P=6.5{\texttimes}10(-12)). Results from the gene-based burden tests were null. In phenotype look-ups, single-nucleotide polymorphism rs201255422 was associated with both systolic (P=0.001) and diastolic blood pressures (P=8.3{\texttimes}10(-04)).

CONCLUSIONS: Our study expands the understanding of genetic factors influencing the size of the retinal microvasculature. These findings may also provide insight into the relationship between retinal and systemic microvascular disease.

}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.115.001142}, author = {Jensen, Richard A and Sim, Xueling and Smith, Albert Vernon and Li, Xiaohui and Jakobsdottir, Johanna and Cheng, Ching-Yu and Brody, Jennifer A and Cotch, Mary Frances and McKnight, Barbara and Klein, Ronald and Wang, Jie Jin and Kifley, Annette and Harris, Tamara B and Launer, Lenore J and Taylor, Kent D and Klein, Barbara E K and Raffel, Leslie J and Li, Xiang and Ikram, M Arfan and Klaver, Caroline C and van der Lee, Sven J and Mutlu, Unal and Hofman, Albert and Uitterlinden, Andr{\'e} G and Liu, Chunyu and Kraja, Aldi T and Mitchell, Paul and Gudnason, Vilmundur and Rotter, Jerome I and Boerwinkle, Eric and van Duijn, Cornelia M and Psaty, Bruce M and Wong, Tien Y} } @article {8561, title = {{Novel genetic loci underlying human intracranial volume identified through genome-wide association}, journal = {Nat Neurosci}, volume = {19}, year = {2016}, month = {12}, pages = {1569{\textendash}1582}, abstract = {Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference ({\"I}genetic = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (Ncombined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson{\textquoteright}s disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.}, author = {Adams, H. H. and Hibar, D. P. and Chouraki, V. and Stein, J. L. and Nyquist, P. A. and Renter?a, M. E. and Trompet, S. and Arias-Vasquez, A. and Seshadri, S. and Desrivi?res, S. and Beecham, A. H. and Jahanshad, N. and Wittfeld, K. and van der Lee, S. J. and Abramovic, L. and Alhusaini, S. and Amin, N. and Andersson, M. and Arfanakis, K. and Aribisala, B. S. and Armstrong, N. J. and Athanasiu, L. and Axelsson, T. and Beiser, A. and Bernard, M. and Bis, J. C. and Blanken, L. M. and Blanton, S. H. and Bohlken, M. M. and Boks, M. P. and Bralten, J. and Brickman, A. M. and Carmichael, O. and Chakravarty, M. M. and Chauhan, G. and Chen, Q. and Ching, C. R. and Cuellar-Partida, G. and Braber, A. D. and Doan, N. T. and Ehrlich, S. and Filippi, I. and Ge, T. and Giddaluru, S. and Goldman, A. L. and Gottesman, R. F. and Greven, C. U. and Grimm, O. and Griswold, M. E. and Guadalupe, T. and Hass, J. and Haukvik, U. K. and Hilal, S. and Hofer, E. and Hoehn, D. and Holmes, A. J. and Hoogman, M. and Janowitz, D. and Jia, T. and Kasperaviciute, D. and Kim, S. and Klein, M. and Kraemer, B. and Lee, P. H. and Liao, J. and Liewald, D. C. and Lopez, L. M. and Luciano, M. and Macare, C. and Marquand, A. and Matarin, M. and Mather, K. A. and Mattheisen, M. and Mazoyer, B. and McKay, D. R. and McWhirter, R. and Milaneschi, Y. and Mirza-Schreiber, N. and Muetzel, R. L. and Maniega, S. M. and Nho, K. and Nugent, A. C. and Loohuis, L. M. and Oosterlaan, J. and Papmeyer, M. and Pappa, I. and Pirpamer, L. and Pudas, S. and P?tz, B. and Rajan, K. B. and Ramasamy, A. and Richards, J. S. and Risacher, S. L. and Roiz-Santia?ez, R. and Rommelse, N. and Rose, E. J. and Royle, N. A. and Rundek, T. and S?mann, P. G. and Satizabal, C. L. and Schmaal, L. and Schork, A. J. and Shen, L. and Shin, J. and Shumskaya, E. and Smith, A. V. and Sprooten, E. and Strike, L. T. and Teumer, A. and Thomson, R. and Tordesillas-Gutierrez, D. and Toro, R. and Trabzuni, D. and Vaidya, D. and van der Grond, J. and van der Meer, D. and Van Donkelaar, M. M. and Van Eijk, K. R. and Van Erp, T. G. and van Rooij, D. and Walton, E. and Westlye, L. T. and Whelan, C. D. and Windham, B. G. and Winkler, A. M. and Woldehawariat, G. and Wolf, C. and Wolfers, T. and Xu, B. and Yanek, L. R. and Yang, J. and Zijdenbos, A. and Zwiers, M. P. and Agartz, I. and Aggarwal, N. T. and Almasy, L. and Ames, D. and Amouyel, P. and Andreassen, O. A. and Arepalli, S. and Assareh, A. A. and Barral, S. and Bastin, M. E. and Becker, D. M. and Becker, J. T. and Bennett, D. A. and Blangero, J. and van Bokhoven, H. and Boomsma, D. I. and Brodaty, H. and Brouwer, R. M. and Brunner, H. G. and Buckner, R. L. and Buitelaar, J. K. and Bulayeva, K. B. and Cahn, W. and Calhoun, V. D. and Cannon, D. M. and Cavalleri, G. L. and Chen, C. and Cheng, C. Y. and Cichon, S. and Cookson, M. R. and Corvin, A. and Crespo-Facorro, B. and Curran, J. E. and Czisch, M. and Dale, A. M. and Davies, G. E. and De Geus, E. J. and De Jager, P. L. and de Zubicaray, G. I. and Delanty, N. and Depondt, C. and DeStefano, A. L. and Dillman, A. and Djurovic, S. and Donohoe, G. and Drevets, W. C. and Duggirala, R. and Dyer, T. D. and Erk, S. and Espeseth, T. and Evans, D. A. and Fedko, I. O. and Fern?ndez, G. and Ferrucci, L. and Fisher, S. E. and Fleischman, D. A. and Ford, I. and Foroud, T. M. and Fox, P. T. and Francks, C. and Fukunaga, M. and Gibbs, J. R. and Glahn, D. C. and Gollub, R. L. and G?ring, H. H. and Grabe, H. J. and Green, R. C. and Gruber, O. and Gudnason, V. and Guelfi, S. and Hansell, N. K. and Hardy, J. and Hartman, C. A. and Hashimoto, R. and Hegenscheid, K. and Heinz, A. and Le Hellard, S. and Hernandez, D. G. and Heslenfeld, D. J. and Ho, B. C. and Hoekstra, P. J. and Hoffmann, W. and Hofman, A. and Holsboer, F. and Homuth, G. and Hosten, N. and Hottenga, J. J. and Hulshoff Pol, H. E. and Ikeda, M. and Ikram, M. K. and Jack, C. R. and Jenkinson, M. and Johnson, R. and J?nsson, E. G. and Jukema, J. W. and Kahn, R. S. and Kanai, R. and Kloszewska, I. and Knopman, D. S. and Kochunov, P. and Kwok, J. B. and Lawrie, S. M. and Lema?tre, H. and Liu, X. and Longo, D. L. and Longstreth, W. T. and Lopez, O. L. and Lovestone, S. and Martinez, O. and Martinot, J. L. and Mattay, V. S. and McDonald, C. and McIntosh, A. M. and McMahon, K. L. and McMahon, F. J. and Mecocci, P. and Melle, I. and Meyer-Lindenberg, A. and Mohnke, S. and Montgomery, G. W. and Morris, D. W. and Mosley, T. H. and M?hleisen, T. W. and M?ller-Myhsok, B. and Nalls, M. A. and Nauck, M. and Nichols, T. E. and Niessen, W. J. and N?then, M. M. and Nyberg, L. and Ohi, K. and Olvera, R. L. and Ophoff, R. A. and Pandolfo, M. and Paus, T. and Pausova, Z. and Penninx, B. W. and Pike, G. B. and Potkin, S. G. and Psaty, B. M. and Reppermund, S. and Rietschel, M. and Roffman, J. L. and Romanczuk-Seiferth, N. and Rotter, J. I. and Ryten, M. and Sacco, R. L. and Sachdev, P. S. and Saykin, A. J. and Schmidt, R. and Schofield, P. R. and Sigurdsson, S. and Simmons, A. and Singleton, A. and Sisodiya, S. M. and Smith, C. and Smoller, J. W. and Soininen, H. and Srikanth, V. and Steen, V. M. and Stott, D. J. and Sussmann, J. E. and Thalamuthu, A. and Tiemeier, H. and Toga, A. W. and Traynor, B. J. and Troncoso, J. and Turner, J. A. and Tzourio, C. and Uitterlinden, A. G. and Hern?ndez, M. C. and Van der Brug, M. and van der Lugt, A. and Van der Wee, N. J. and van Duijn, C. M. and Van Haren, N. E. and Van T Ent, D. and van Tol, M. J. and Vardarajan, B. N. and Veltman, D. J. and Vernooij, M. W. and V?lzke, H. and Walter, H. and Wardlaw, J. M. and Wassink, T. H. and Weale, M. E. and Weinberger, D. R. and Weiner, M. W. and Wen, W. and Westman, E. and White, T. and Wong, T. Y. and Wright, C. B. and Zielke, H. R. and Zonderman, A. B. and Deary, I. J. and DeCarli, C. and Schmidt, H. and Martin, N. G. and De Craen, A. J. and Wright, M. J. and Launer, L. J. and Schumann, G. and Fornage, M. and Franke, B. and Debette, S. and Medland, S. E. and Ikram, M. A. and Thompson, P. M.} } @article {7569, title = {New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals.}, journal = {Circ Cardiovasc Genet}, volume = {10}, year = {2017}, month = {2017 Oct}, abstract = {

BACKGROUND: Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data. An additional 100 variants yielded suggestive evidence of association.

METHODS AND RESULTS: Here, we augment the sample with 140 886 European individuals from the UK Biobank, in whom 77 of the 100 suggestive SNVs were available for association analysis with systolic BP or diastolic BP or pulse pressure. We performed 2 meta-analyses, one in individuals of European, South Asian, African, and Hispanic descent (pan-ancestry, ≈475 000), and the other in the subset of individuals of European descent (≈423 000). Twenty-one SNVs were genome-wide significant (P<5{\texttimes}10-8) for BP, of which 4 are new BP loci: rs9678851 (missense, SLC4A1AP), rs7437940 (AFAP1), rs13303 (missense, STAB1), and rs1055144 (7p15.2). In addition, we identified a potentially independent novel BP-associated SNV, rs3416322 (missense, SYNPO2L) at a known locus, uncorrelated with the previously reported SNVs. Two SNVs are associated with expression levels of nearby genes, and SNVs at 3 loci are associated with other traits. One SNV with a minor allele frequency <0.01, (rs3025380 at DBH) was genome-wide significant.

CONCLUSIONS: We report 4 novel loci associated with BP regulation, and 1 independent variant at an established BP locus. This analysis highlights several candidate genes with variation that alter protein function or gene expression for potential follow-up.

}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.117.001778}, author = {Kraja, Aldi T and Cook, James P and Warren, Helen R and Surendran, Praveen and Liu, Chunyu and Evangelou, Evangelos and Manning, Alisa K and Grarup, Niels and Drenos, Fotios and Sim, Xueling and Smith, Albert Vernon and Amin, Najaf and Blakemore, Alexandra I F and Bork-Jensen, Jette and Brandslund, Ivan and Farmaki, Aliki-Eleni and Fava, Cristiano and Ferreira, Teresa and Herzig, Karl-Heinz and Giri, Ayush and Giulianini, Franco and Grove, Megan L and Guo, Xiuqing and Harris, Sarah E and Have, Christian T and Havulinna, Aki S and Zhang, He and J{\o}rgensen, Marit E and K{\"a}r{\"a}j{\"a}m{\"a}ki, AnneMari and Kooperberg, Charles and Linneberg, Allan and Little, Louis and Liu, Yongmei and Bonnycastle, Lori L and Lu, Yingchang and M{\"a}gi, Reedik and Mahajan, Anubha and Malerba, Giovanni and Marioni, Riccardo E and Mei, Hao and Menni, Cristina and Morrison, Alanna C and Padmanabhan, Sandosh and Palmas, Walter and Poveda, Alaitz and Rauramaa, Rainer and Rayner, Nigel William and Riaz, Muhammad and Rice, Ken and Richard, Melissa A and Smith, Jennifer A and Southam, Lorraine and Stan{\v c}{\'a}kov{\'a}, Alena and Stirrups, Kathleen E and Tragante, Vinicius and Tuomi, Tiinamaija and Tzoulaki, Ioanna and Varga, Tibor V and Weiss, Stefan and Yiorkas, Andrianos M and Young, Robin and Zhang, Weihua and Barnes, Michael R and Cabrera, Claudia P and Gao, He and Boehnke, Michael and Boerwinkle, Eric and Chambers, John C and Connell, John M and Christensen, Cramer K and de Boer, Rudolf A and Deary, Ian J and Dedoussis, George and Deloukas, Panos and Dominiczak, Anna F and D{\"o}rr, Marcus and Joehanes, Roby and Edwards, Todd L and Esko, T{\~o}nu and Fornage, Myriam and Franceschini, Nora and Franks, Paul W and Gambaro, Giovanni and Groop, Leif and Hallmans, G{\"o}ran and Hansen, Torben and Hayward, Caroline and Heikki, Oksa and Ingelsson, Erik and Tuomilehto, Jaakko and Jarvelin, Marjo-Riitta and Kardia, Sharon L R and Karpe, Fredrik and Kooner, Jaspal S and Lakka, Timo A and Langenberg, Claudia and Lind, Lars and Loos, Ruth J F and Laakso, Markku and McCarthy, Mark I and Melander, Olle and Mohlke, Karen L and Morris, Andrew P and Palmer, Colin N A and Pedersen, Oluf and Polasek, Ozren and Poulter, Neil R and Province, Michael A and Psaty, Bruce M and Ridker, Paul M and Rotter, Jerome I and Rudan, Igor and Salomaa, Veikko and Samani, Nilesh J and Sever, Peter J and Skaaby, Tea and Stafford, Jeanette M and Starr, John M and van der Harst, Pim and van der Meer, Peter and van Duijn, Cornelia M and Vergnaud, Anne-Claire and Gudnason, Vilmundur and Wareham, Nicholas J and Wilson, James G and Willer, Cristen J and Witte, Daniel R and Zeggini, Eleftheria and Saleheen, Danish and Butterworth, Adam S and Danesh, John and Asselbergs, Folkert W and Wain, Louise V and Ehret, Georg B and Chasman, Daniel I and Caulfield, Mark J and Elliott, Paul and Lindgren, Cecilia M and Levy, Daniel and Newton-Cheh, Christopher and Munroe, Patricia B and Howson, Joanna M M} } @article {7492, title = {Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney.}, journal = {Hypertension}, year = {2017}, month = {2017 Jul 24}, abstract = {

Elevated blood pressure is a major risk factor for cardiovascular disease and has a substantial genetic contribution. Genetic variation influencing blood pressure has the potential to identify new pharmacological targets for the treatment of hypertension. To discover additional novel blood pressure loci, we used 1000 Genomes Project-based imputation in 150 134 European ancestry individuals and sought significant evidence for independent replication in a further 228 245 individuals. We report 6 new signals of association in or near HSPB7, TNXB, LRP12, LOC283335, SEPT9, and AKT2, and provide new replication evidence for a further 2 signals in EBF2 and NFKBIA Combining large whole-blood gene expression resources totaling 12 607 individuals, we investigated all novel and previously reported signals and identified 48 genes with evidence for involvement in blood pressure regulation that are significant in multiple resources. Three novel kidney-specific signals were also detected. These robustly implicated genes may provide new leads for therapeutic innovation.

}, issn = {1524-4563}, doi = {10.1161/HYPERTENSIONAHA.117.09438}, author = {Wain, Louise V and Vaez, Ahmad and Jansen, Rick and Joehanes, Roby and van der Most, Peter J and Erzurumluoglu, A Mesut and O{\textquoteright}Reilly, Paul F and Cabrera, Claudia P and Warren, Helen R and Rose, Lynda M and Verwoert, Germaine C and Hottenga, Jouke-Jan and Strawbridge, Rona J and Esko, T{\~o}nu and Arking, Dan E and Hwang, Shih-Jen and Guo, Xiuqing and Kutalik, Zolt{\'a}n and Trompet, Stella and Shrine, Nick and Teumer, Alexander and Ried, Janina S and Bis, Joshua C and Smith, Albert V and Amin, Najaf and Nolte, Ilja M and Lyytik{\"a}inen, Leo-Pekka and Mahajan, Anubha and Wareham, Nicholas J and Hofer, Edith and Joshi, Peter K and Kristiansson, Kati and Traglia, Michela and Havulinna, Aki S and Goel, Anuj and Nalls, Mike A and S{\~o}ber, Siim and Vuckovic, Dragana and Luan, Jian{\textquoteright}an and del Greco M, Fabiola and Ayers, Kristin L and Marrugat, Jaume and Ruggiero, Daniela and Lopez, Lorna M and Niiranen, Teemu and Enroth, Stefan and Jackson, Anne U and Nelson, Christopher P and Huffman, Jennifer E and Zhang, Weihua and Marten, Jonathan and Gandin, Ilaria and Harris, Sarah E and Zemunik, Tatijana and Lu, Yingchang and Evangelou, Evangelos and Shah, Nabi and de Borst, Martin H and Mangino, Massimo and Prins, Bram P and Campbell, Archie and Li-Gao, Ruifang and Chauhan, Ganesh and Oldmeadow, Christopher and Abecasis, Goncalo and Abedi, Maryam and Barbieri, Caterina M and Barnes, Michael R and Batini, Chiara and Beilby, John and Blake, Tineka and Boehnke, Michael and Bottinger, Erwin P and Braund, Peter S and Brown, Morris and Brumat, Marco and Campbell, Harry and Chambers, John C and Cocca, Massimiliano and Collins, Francis and Connell, John and Cordell, Heather J and Damman, Jeffrey J and Davies, Gail and de Geus, Eco J and de Mutsert, Ren{\'e}e and Deelen, Joris and Demirkale, Yusuf and Doney, Alex S F and D{\"o}rr, Marcus and Farrall, Martin and Ferreira, Teresa and Fr{\r a}nberg, Mattias and Gao, He and Giedraitis, Vilmantas and Gieger, Christian and Giulianini, Franco and Gow, Alan J and Hamsten, Anders and Harris, Tamara B and Hofman, Albert and Holliday, Elizabeth G and Hui, Jennie and Jarvelin, Marjo-Riitta and Johansson, Asa and Johnson, Andrew D and Jousilahti, Pekka and Jula, Antti and K{\"a}h{\"o}nen, Mika and Kathiresan, Sekar and Khaw, Kay-Tee and Kolcic, Ivana and Koskinen, Seppo and Langenberg, Claudia and Larson, Marty and Launer, Lenore J and Lehne, Benjamin and Liewald, David C M and Lin, Li and Lind, Lars and Mach, Fran{\c c}ois and Mamasoula, Chrysovalanto and Menni, Cristina and Mifsud, Borbala and Milaneschi, Yuri and Morgan, Anna and Morris, Andrew D and Morrison, Alanna C and Munson, Peter J and Nandakumar, Priyanka and Nguyen, Quang Tri and Nutile, Teresa and Oldehinkel, Albertine J and Oostra, Ben A and Org, Elin and Padmanabhan, Sandosh and Palotie, Aarno and Par{\'e}, Guillaume and Pattie, Alison and Penninx, Brenda W J H and Poulter, Neil and Pramstaller, Peter P and Raitakari, Olli T and Ren, Meixia and Rice, Kenneth and Ridker, Paul M and Riese, Harri{\"e}tte and Ripatti, Samuli and Robino, Antonietta and Rotter, Jerome I and Rudan, Igor and Saba, Yasaman and Saint Pierre, Aude and Sala, Cinzia F and Sarin, Antti-Pekka and Schmidt, Reinhold and Scott, Rodney and Seelen, Marc A and Shields, Denis C and Siscovick, David and Sorice, Rossella and Stanton, Alice and Stott, David J and Sundstr{\"o}m, Johan and Swertz, Morris and Taylor, Kent D and Thom, Simon and Tzoulaki, Ioanna and Tzourio, Christophe and Uitterlinden, Andr{\'e} G and V{\"o}lker, Uwe and Vollenweider, Peter and Wild, Sarah and Willemsen, Gonneke and Wright, Alan F and Yao, Jie and Th{\'e}riault, S{\'e}bastien and Conen, David and Attia, John and Sever, Peter and Debette, Stephanie and Mook-Kanamori, Dennis O and Zeggini, Eleftheria and Spector, Tim D and van der Harst, Pim and Palmer, Colin N A and Vergnaud, Anne-Claire and Loos, Ruth J F and Polasek, Ozren and Starr, John M and Girotto, Giorgia and Hayward, Caroline and Kooner, Jaspal S and Lindgren, Cecila M and Vitart, Veronique and Samani, Nilesh J and Tuomilehto, Jaakko and Gyllensten, Ulf and Knekt, Paul and Deary, Ian J and Ciullo, Marina and Elosua, Roberto and Keavney, Bernard D and Hicks, Andrew A and Scott, Robert A and Gasparini, Paolo and Laan, Maris and Liu, Yongmei and Watkins, Hugh and Hartman, Catharina A and Salomaa, Veikko and Toniolo, Daniela and Perola, Markus and Wilson, James F and Schmidt, Helena and Zhao, Jing Hua and Lehtim{\"a}ki, Terho and van Duijn, Cornelia M and Gudnason, Vilmundur and Psaty, Bruce M and Peters, Annette and Rettig, Rainer and James, Alan and Jukema, J Wouter and Strachan, David P and Palmas, Walter and Metspalu, Andres and Ingelsson, Erik and Boomsma, Dorret I and Franco, Oscar H and Bochud, Murielle and Newton-Cheh, Christopher and Munroe, Patricia B and Elliott, Paul and Chasman, Daniel I and Chakravarti, Aravinda and Knight, Joanne and Morris, Andrew P and Levy, Daniel and Tobin, Martin D and Snieder, Harold and Caulfield, Mark J and Ehret, Georg B} } @article {8552, title = {{Novel genetic loci associated with hippocampal volume}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {01}, pages = {13624}, abstract = {The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer{\textquoteright}s disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.}, author = {Hibar, D. P. and Adams, H. H. H. and Jahanshad, N. and Chauhan, G. and Stein, J. L. and Hofer, E. and Renteria, M. E. and Bis, J. C. and Arias-Vasquez, A. and Ikram, M. K. and Desrivi?res, S. and Vernooij, M. W. and Abramovic, L. and Alhusaini, S. and Amin, N. and Andersson, M. and Arfanakis, K. and Aribisala, B. S. and Armstrong, N. J. and Athanasiu, L. and Axelsson, T. and Beecham, A. H. and Beiser, A. and Bernard, M. and Blanton, S. H. and Bohlken, M. M. and Boks, M. P. and Bralten, J. and Brickman, A. M. and Carmichael, O. and Chakravarty, M. M. and Chen, Q. and Ching, C. R. K. and Chouraki, V. and Cuellar-Partida, G. and Crivello, F. and den Braber, A. and Doan, N. T. and Ehrlich, S. and Giddaluru, S. and Goldman, A. L. and Gottesman, R. F. and Grimm, O. and Griswold, M. E. and Guadalupe, T. and Gutman, B. A. and Hass, J. and Haukvik, U. K. and Hoehn, D. and Holmes, A. J. and Hoogman, M. and Janowitz, D. and Jia, T. and J?rgensen, K. N. and Karbalai, N. and Kasperaviciute, D. and Kim, S. and Klein, M. and Kraemer, B. and Lee, P. H. and Liewald, D. C. M. and Lopez, L. M. and Luciano, M. and Macare, C. and Marquand, A. F. and Matarin, M. and Mather, K. A. and Mattheisen, M. and McKay, D. R. and Milaneschi, Y. and Mu?oz Maniega, S. and Nho, K. and Nugent, A. C. and Nyquist, P. and Loohuis, L. M. O. and Oosterlaan, J. and Papmeyer, M. and Pirpamer, L. and P?tz, B. and Ramasamy, A. and Richards, J. S. and Risacher, S. L. and Roiz-Santia?ez, R. and Rommelse, N. and Ropele, S. and Rose, E. J. and Royle, N. A. and Rundek, T. and S?mann, P. G. and Saremi, A. and Satizabal, C. L. and Schmaal, L. and Schork, A. J. and Shen, L. and Shin, J. and Shumskaya, E. and Smith, A. V. and Sprooten, E. and Strike, L. T. and Teumer, A. and Tordesillas-Gutierrez, D. and Toro, R. and Trabzuni, D. and Trompet, S. and Vaidya, D. and van der Grond, J. and van der Lee, S. J. and van der Meer, D. and van Donkelaar, M. M. J. and Van Eijk, K. R. and van Erp, T. G. M. and van Rooij, D. and Walton, E. and Westlye, L. T. and Whelan, C. D. and Windham, B. G. and Winkler, A. M. and Wittfeld, K. and Woldehawariat, G. and Wolf, C. and Wolfers, T. and Yanek, L. R. and Yang, J. and Zijdenbos, A. and Zwiers, M. P. and Agartz, I. and Almasy, L. and Ames, D. and Amouyel, P. and Andreassen, O. A. and Arepalli, S. and Assareh, A. A. and Barral, S. and Bastin, M. E. and Becker, D. M. and Becker, J. T. and Bennett, D. A. and Blangero, J. and van Bokhoven, H. and Boomsma, D. I. and Brodaty, H. and Brouwer, R. M. and Brunner, H. G. and Buckner, R. L. and Buitelaar, J. K. and Bulayeva, K. B. and Cahn, W. and Calhoun, V. D. and Cannon, D. M. and Cavalleri, G. L. and Cheng, C. Y. and Cichon, S. and Cookson, M. R. and Corvin, A. and Crespo-Facorro, B. and Curran, J. E. and Czisch, M. and Dale, A. M. and Davies, G. E. and de Craen, A. J. M. and de Geus, E. J. C. and De Jager, P. L. and de Zubicaray, G. I. and Deary, I. J. and Debette, S. and DeCarli, C. and Delanty, N. and Depondt, C. and DeStefano, A. and Dillman, A. and Djurovic, S. and Donohoe, G. and Drevets, W. C. and Duggirala, R. and Dyer, T. D. and Enzinger, C. and Erk, S. and Espeseth, T. and Fedko, I. O. and Fern?ndez, G. and Ferrucci, L. and Fisher, S. E. and Fleischman, D. A. and Ford, I. and Fornage, M. and Foroud, T. M. and Fox, P. T. and Francks, C. and Fukunaga, M. and Gibbs, J. R. and Glahn, D. C. and Gollub, R. L. and G?ring, H. H. H. and Green, R. C. and Gruber, O. and Gudnason, V. and Guelfi, S. and H?berg, A. K. and Hansell, N. K. and Hardy, J. and Hartman, C. A. and Hashimoto, R. and Hegenscheid, K. and Heinz, A. and Le Hellard, S. and Hernandez, D. G. and Heslenfeld, D. J. and Ho, B. C. and Hoekstra, P. J. and Hoffmann, W. and Hofman, A. and Holsboer, F. and Homuth, G. and Hosten, N. and Hottenga, J. J. and Huentelman, M. and Hulshoff Pol, H. E. and Ikeda, M. and Jack, C. R. and Jenkinson, M. and Johnson, R. and J?nsson, E. G. and Jukema, J. W. and Kahn, R. S. and Kanai, R. and Kloszewska, I. and Knopman, D. S. and Kochunov, P. and Kwok, J. B. and Lawrie, S. M. and Lema?tre, H. and Liu, X. and Longo, D. L. and Lopez, O. L. and Lovestone, S. and Martinez, O. and Martinot, J. L. and Mattay, V. S. and McDonald, C. and McIntosh, A. M. and McMahon, F. J. and McMahon, K. L. and Mecocci, P. and Melle, I. and Meyer-Lindenberg, A. and Mohnke, S. and Montgomery, G. W. and Morris, D. W. and Mosley, T. H. and M?hleisen, T. W. and M?ller-Myhsok, B. and Nalls, M. A. and Nauck, M. and Nichols, T. E. and Niessen, W. J. and N?then, M. M. and Nyberg, L. and Ohi, K. and Olvera, R. L. and Ophoff, R. A. and Pandolfo, M. and Paus, T. and Pausova, Z. and Penninx, B. W. J. H. and Pike, G. B. and Potkin, S. G. and Psaty, B. M. and Reppermund, S. and Rietschel, M. and Roffman, J. L. and Romanczuk-Seiferth, N. and Rotter, J. I. and Ryten, M. and Sacco, R. L. and Sachdev, P. S. and Saykin, A. J. and Schmidt, R. and Schmidt, H. and Schofield, P. R. and Sigursson, S. and Simmons, A. and Singleton, A. and Sisodiya, S. M. and Smith, C. and Smoller, J. W. and Soininen, H. and Steen, V. M. and Stott, D. J. and Sussmann, J. E. and Thalamuthu, A. and Toga, A. W. and Traynor, B. J. and Troncoso, J. and Tsolaki, M. and Tzourio, C. and Uitterlinden, A. G. and Hern?ndez, M. C. V. and Van der Brug, M. and van der Lugt, A. and Van der Wee, N. J. A. and van Haren, N. E. M. and van {\textquoteright}t Ent, D. and van Tol, M. J. and Vardarajan, B. N. and Vellas, B. and Veltman, D. J. and V?lzke, H. and Walter, H. and Wardlaw, J. M. and Wassink, T. H. and Weale, M. E. and Weinberger, D. R. and Weiner, M. W. and Wen, W. and Westman, E. and White, T. and Wong, T. Y. and Wright, C. B. and Zielke, R. H. and Zonderman, A. B. and Martin, N. G. and van Duijn, C. M. and Wright, M. J. and Longstreth, W. T. and Schumann, G. and Grabe, H. J. and Franke, B. and Launer, L. J. and Medland, S. E. and Seshadri, S. and Thompson, P. M. and Ikram, M. A.} } @article {7580, title = {Novel polymorphisms associated with hyperalphalipoproteinemia and apparent cardioprotection.}, journal = {J Clin Lipidol}, year = {2017}, month = {2017 Nov 21}, abstract = {

BACKGROUND: Hyperalphalipoproteinemia (HALP) is inversely correlated with coronary heart disease (CHD) although genetic variants associated with high serum levels of high-density lipoprotein cholesterol (HDL-C) have not been shown to be cardioprotective.

OBJECTIVE: The objective of the study was to uncover novel genetic variants associated with HALP and possibly with reduced risk of CHD.

METHODS: Exome sequencing data, HDL-C, and triglyceride levels were analyzed in 1645 subjects. They included the University of Maryland outpatients with high HDL-C (n~=~12), Cardiovascular Health Study (n~=~210), Jackson Heart Study (n~=~402), Multi-Ethnic Study of Atherosclerosis (n~=~404), Framingham Heart Study (n~=~463), and Old Order Amish (n~=~154).

RESULTS: Novel nonsynonymous single-nucleotide polymorphisms (nsSNPs) were identified in men and women with primary HALP (mean HDL-C, 145 {\textpm} 30~mg/dL). Using PolyPhen-2 and Combined Annotation Dependent Depletion to estimate the predictive effect of each nsSNP on the gene product, rare, deleterious polymorphisms in UGT1A3, PLLP, PLEKHH1, ANK2, DIS3L, ACACB, and LRP4 were identified in 16 subjects with HALP but not in any tested subject with low HDL-C (<40~mg/dL). In addition, a single novel polymorphism, rs376849274, was found in OSBPL1A. The majority of these candidate genes have been implicated in fat and lipid metabolism, and none of these subjects has a history of CHD despite 75\% of subjects having risk factors for CHD. Overall, the probability of finding these nsSNPs in a non-high HDL-C population ranges from 1~{\texttimes}~10-17 to 1~{\texttimes}~10-25.

CONCLUSION: Novel functional polymorphisms in 8 candidate genes are associated with HALP in the absence of CHD. Future study is required to examine the extent to which these genes may affect HDL function and serve as potential therapeutic targets for CHD risk reduction.

}, issn = {1933-2874}, doi = {10.1016/j.jacl.2017.10.021}, author = {Oates, Connor P and Koenig, Darya and Rhyne, Jeffrey and Bogush, Nikolay and O{\textquoteright}Connell, Jeffrey and Mitchell, Braxton D and Miller, Michael} } @article {7792, title = {Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.}, journal = {PLoS One}, volume = {13}, year = {2018}, month = {2018}, pages = {e0198166}, abstract = {

Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0198166}, author = {Feitosa, Mary F and Kraja, Aldi T and Chasman, Daniel I and Sung, Yun J and Winkler, Thomas W and Ntalla, Ioanna and Guo, Xiuqing and Franceschini, Nora and Cheng, Ching-Yu and Sim, Xueling and Vojinovic, Dina and Marten, Jonathan and Musani, Solomon K and Li, Changwei and Bentley, Amy R and Brown, Michael R and Schwander, Karen and Richard, Melissa A and Noordam, Raymond and Aschard, Hugues and Bartz, Traci M and Bielak, Lawrence F and Dorajoo, Rajkumar and Fisher, Virginia and Hartwig, Fernando P and Horimoto, Andrea R V R and Lohman, Kurt K and Manning, Alisa K and Rankinen, Tuomo and Smith, Albert V and Tajuddin, Salman M and Wojczynski, Mary K and Alver, Maris and Boissel, Mathilde and Cai, Qiuyin and Campbell, Archie and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Gao, Chuan and Goel, Anuj and Hagemeijer, Yanick and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Jackson, Anne U and K{\"a}h{\"o}nen, Mika and Kasturiratne, Anuradhani and Komulainen, Pirjo and Kuhnel, Brigitte and Laguzzi, Federica and Luan, Jian{\textquoteright}an and Matoba, Nana and Nolte, Ilja M and Padmanabhan, Sandosh and Riaz, Muhammad and Rueedi, Rico and Robino, Antonietta and Said, M Abdullah and Scott, Robert A and Sofer, Tamar and Stan{\v c}{\'a}kov{\'a}, Alena and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Varga, Tibor V and Vitart, Veronique and Wang, Yajuan and Ware, Erin B and Warren, Helen R and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Zhang, Weihua and Zhao, Jing Hua and Afaq, Saima and Amin, Najaf and Amini, Marzyeh and Arking, Dan E and Aung, Tin and Boerwinkle, Eric and Borecki, Ingrid and Broeckel, Ulrich and Brown, Morris and Brumat, Marco and Burke, Gregory L and Canouil, Micka{\"e}l and Chakravarti, Aravinda and Charumathi, Sabanayagam and Ida Chen, Yii-Der and Connell, John M and Correa, Adolfo and de Las Fuentes, Lisa and de Mutsert, Ren{\'e}e and de Silva, H Janaka and Deng, Xuan and Ding, Jingzhong and Duan, Qing and Eaton, Charles B and Ehret, Georg and Eppinga, Ruben N and Evangelou, Evangelos and Faul, Jessica D and Felix, Stephan B and Forouhi, Nita G and Forrester, Terrence and Franco, Oscar H and Friedlander, Yechiel and Gandin, Ilaria and Gao, He and Ghanbari, Mohsen and Gigante, Bruna and Gu, C Charles and Gu, Dongfeng and Hagenaars, Saskia P and Hallmans, G{\"o}ran and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hirata, Makoto and Howard, Barbara V and Ikram, M Arfan and John, Ulrich and Katsuya, Tomohiro and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Krieger, Jose E and Kritchevsky, Stephen B and Kubo, Michiaki and Kuusisto, Johanna and Lakka, Timo A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lehne, Benjamin and Lewis, Cora E and Li, Yize and Lin, Shiow and Liu, Jianjun and Liu, Jingmin and Loh, Marie and Louie, Tin and M{\"a}gi, Reedik and McKenzie, Colin A and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Milani, Lili and Mohlke, Karen L and Momozawa, Yukihide and Nalls, Mike A and Nelson, Christopher P and Sotoodehnia, Nona and Norris, Jill M and O{\textquoteright}Connell, Jeff R and Palmer, Nicholette D and Perls, Thomas and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Poulter, Neil and Raffel, Leslie J and Raitakari, Olli T and Roll, Kathryn and Rose, Lynda M and Rosendaal, Frits R and Rotter, Jerome I and Schmidt, Carsten O and Schreiner, Pamela J and Schupf, Nicole and Scott, William R and Sever, Peter S and Shi, Yuan and Sidney, Stephen and Sims, Mario and Sitlani, Colleen M and Smith, Jennifer A and Snieder, Harold and Starr, John M and Strauch, Konstantin and Stringham, Heather M and Tan, Nicholas Y Q and Tang, Hua and Taylor, Kent D and Teo, Yik Ying and Tham, Yih Chung and Turner, Stephen T and Uitterlinden, Andr{\'e} G and Vollenweider, Peter and Waldenberger, Melanie and Wang, Lihua and Wang, Ya Xing and Wei, Wen Bin and Williams, Christine and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and Chambers, John C and Deary, Ian J and Esko, T{\~o}nu and Farrall, Martin and Franks, Paul W and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Jonas, Jost Bruno and Kamatani, Yoichiro and Kato, Norihiro and Kooner, Jaspal S and Kutalik, Zolt{\'a}n and Laakso, Markku and Laurie, Cathy C and Leander, Karin and Lehtim{\"a}ki, Terho and Study, Lifelines Cohort and Magnusson, Patrik K E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Polasek, Ozren and Porteous, David J and Rauramaa, Rainer and Samani, Nilesh J and Scott, James and Shu, Xiao-Ou and van der Harst, Pim and Wagenknecht, Lynne E and Wareham, Nicholas J and Watkins, Hugh and Weir, David R and Wickremasinghe, Ananda R and Wu, Tangchun and Zheng, Wei and Bouchard, Claude and Christensen, Kaare and Evans, Michele K and Gudnason, Vilmundur and Horta, Bernardo L and Kardia, Sharon L R and Liu, Yongmei and Pereira, Alexandre C and Psaty, Bruce M and Ridker, Paul M and van Dam, Rob M and Gauderman, W James and Zhu, Xiaofeng and Mook-Kanamori, Dennis O and Fornage, Myriam and Rotimi, Charles N and Cupples, L Adrienne and Kelly, Tanika N and Fox, Ervin R and Hayward, Caroline and van Duijn, Cornelia M and Tai, E Shyong and Wong, Tien Yin and Kooperberg, Charles and Palmas, Walter and Rice, Kenneth and Morrison, Alanna C and Elliott, Paul and Caulfield, Mark J and Munroe, Patricia B and Rao, Dabeeru C and Province, Michael A and Levy, Daniel} } @article {8514, title = {{New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders}, journal = {Nat Hum Behav}, volume = {3}, year = {2019}, month = {09}, pages = {950{\textendash}961}, abstract = {Excessive alcohol consumption is one of the main causes of death and disability worldwide. Alcohol consumption is a heritable complex trait. Here we conducted a meta-analysis of genome-wide association studies of alcohol consumption (g d-1) from the UK Biobank, the Alcohol Genome-Wide Consortium and the Cohorts for Heart and Aging Research in Genomic Epidemiology Plus consortia, collecting data from 480,842 people of European descent to decipher the genetic architecture of alcohol intake. We identified 46 new common loci and investigated their potential functional importance using magnetic resonance imaging data and gene expression studies. We identify genetic pathways associated with alcohol consumption and suggest genetic mechanisms that are shared with neuropsychiatric disorders such as schizophrenia.}, author = {Evangelou, E. and Gao, H. and Chu, C. and Ntritsos, G. and Blakeley, P. and Butts, A. R. and Pazoki, R. and Suzuki, H. and Koskeridis, F. and Yiorkas, A. M. and Karaman, I. and Elliott, J. and Luo, Q. and Aeschbacher, S. and Bartz, T. M. and Baumeister, S. E. and Braund, P. S. and Brown, M. R. and Brody, J. A. and Clarke, T. K. and Dimou, N. and Faul, J. D. and Homuth, G. and Jackson, A. U. and Kentistou, K. A. and Joshi, P. K. and Lemaitre, R. N. and Lind, P. A. and Lyytik?inen, L. P. and Mangino, M. and Milaneschi, Y. and Nelson, C. P. and Nolte, I. M. and Per?l?, M. M. and Polasek, O. and Porteous, D. and Ratliff, S. M. and Smith, J. A. and Stan??kov?, A. and Teumer, A. and Tuominen, S. and Th?riault, S. and Vangipurapu, J. and Whitfield, J. B. and Wood, A. and Yao, J. and Yu, B. and Zhao, W. and Arking, D. E. and Auvinen, J. and Liu, C. and M?nnikk?, M. and Risch, L. and Rotter, J. I. and Snieder, H. and Veijola, J. and Blakemore, A. I. and Boehnke, M. and Campbell, H. and Conen, D. and Eriksson, J. G. and Grabe, H. J. and Guo, X. and van der Harst, P. and Hartman, C. A. and Hayward, C. and Heath, A. C. and Jarvelin, M. R. and K?h?nen, M. and Kardia, S. L. R. and K?hne, M. and Kuusisto, J. and Laakso, M. and Lahti, J. and Lehtim?ki, T. and McIntosh, A. M. and Mohlke, K. L. and Morrison, A. C. and Martin, N. G. and Oldehinkel, A. J. and Penninx, B. W. J. H. and Psaty, B. M. and Raitakari, O. T. and Rudan, I. and Samani, N. J. and Scott, L. J. and Spector, T. D. and Verweij, N. and Weir, D. R. and Wilson, J. F. and Levy, D. and Tzoulaki, I. and Bell, J. D. and Matthews, P. M. and Rothenfluh, A. and Desrivi?res, S. and Schumann, G. and Elliott, P.} } @article {8046, title = {No causal effects of serum urate levels on the risk of chronic kidney disease: A Mendelian randomization study.}, journal = {PLoS Med}, volume = {16}, year = {2019}, month = {2019 01}, pages = {e1002725}, abstract = {

BACKGROUND: Studies have shown strong positive associations between serum urate (SU) levels and chronic kidney disease (CKD) risk; however, whether the relation is causal remains uncertain. We evaluate whether genetic data are consistent with a causal impact of SU level on the risk of CKD and estimated glomerular filtration rate (eGFR).

METHODS AND FINDINGS: We used Mendelian randomization (MR) methods to evaluate the presence of a causal effect. We used aggregated genome-wide association data (N = 110,347 for SU, N = 69,374 for gout, N = 133,413 for eGFR, N = 117,165 for CKD), electronic-medical-record-linked UK Biobank data (N = 335,212), and population-based cohorts (N = 13,425), all in individuals of European ancestry, for SU levels and CKD. Our MR analysis showed that SU has a causal effect on neither eGFR level nor CKD risk across all MR analyses (all P > 0.05). These null associations contrasted with our epidemiological association findings from the 4 population-based cohorts (change in eGFR level per 1-mg/dl [59.48 μmol/l] increase in SU: -1.99 ml/min/1.73 m2; 95\% CI -2.86 to -1.11; P = 8.08 {\texttimes} 10(-6); odds ratio [OR] for CKD: 1.48; 95\% CI 1.32 to 1.65; P = 1.52 {\texttimes} 10(-11)). In contrast, the same MR approaches showed that SU has a causal effect on the risk of gout (OR estimates ranging from 3.41 to 6.04 per 1-mg/dl increase in SU, all P < 10-3), which served as a positive control of our approach. Overall, our MR analysis had >99\% power to detect a causal effect of SU level on the risk of CKD of the same magnitude as the observed epidemiological association between SU and CKD. Limitations of this study include the lifelong effect of a genetic perturbation not being the same as an acute perturbation, the inability to study non-European populations, and some sample overlap between the datasets used in the study.

CONCLUSIONS: Evidence from our series of causal inference approaches using genetics does not support a causal effect of SU level on eGFR level or CKD risk. Reducing SU levels is unlikely to reduce the risk of CKD development.

}, keywords = {Adult, Age Factors, Female, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Male, Mendelian Randomization Analysis, Renal Insufficiency, Chronic, Sex Factors, Uric Acid, Young Adult}, issn = {1549-1676}, doi = {10.1371/journal.pmed.1002725}, author = {Jordan, Daniel M and Choi, Hyon K and Verbanck, Marie and Topless, Ruth and Won, Hong-Hee and Nadkarni, Girish and Merriman, Tony R and Do, Ron} } @article {8008, title = {NT -pro BNP as a Mediator of the Racial Difference in Incident Atrial Fibrillation and Heart Failure.}, journal = {J Am Heart Assoc}, volume = {8}, year = {2019}, month = {2019 Apr 02}, pages = {e010868}, abstract = {

Background Blacks harbor more cardiovascular risk factors than whites, but experience less atrial fibrillation ( AF ). Conversely, whites may have a lower risk of heart failure ( CHF ). N-terminal pro-B-type natriuretic peptide ( NT -pro BNP) levels are higher in whites, predict incident AF , and have diuretic effects in the setting of increased ventricular diastolic pressures, potentially providing a unifying explanation for these racial differences. Methods and Results We used data from the CHS (Cardiovascular Health Study) to determine the degree to which baseline NT -pro BNP levels mediate the relationships between race and incident AF and CHF by comparing beta estimates between models with and without NT -pro BNP . The ARIC (Atherosclerosis Risk in Communities) study was used to assess reproducibility. Among 4731 CHS (770 black) and 12~418 ARIC (3091 black) participants, there were 1277 and 1253 incident AF events, respectively. Whites had higher baseline NT -pro BNP ( CHS : 40\% higher than blacks; 95\% CI , 29-53; ARIC : 39\% higher; 95\% CI , 33-46) and had a greater risk of incident AF compared with blacks ( CHS : adjusted hazard ratio, 1.60; 95\% CI , 1.31-1.93; ARIC : hazard ratio, 1.93; 95\% CI , 1.57-2.27). NT -pro BNP levels explained a significant proportion of the racial difference in AF risk ( CHS : 36.2\%; 95\% CI , 23.2-69.2\%; ARIC : 24.6\%; 95\% CI , 14.8-39.6\%). Contrary to our hypothesis, given an increased risk of CHF among whites in CHS (adjusted hazard ratio, 1.20; 95\% CI , 1.05-1.47) and the absence of a significant association between race and CHF in ARIC (adjusted hazard ratio, 1.07; 95\% CI , 0.94-1.23), CHF -related mediation analyses were not performed. Conclusions A substantial portion of the relationship between race and AF was statistically explained by baseline NT -pro BNP levels. No consistent relationship between race and CHF was observed.

}, issn = {2047-9980}, doi = {10.1161/JAHA.118.010868}, author = {Whitman, Isaac R and Vittinghoff, Eric and deFilippi, Christopher R and Gottdiener, John S and Alonso, Alvaro and Psaty, Bruce M and Heckbert, Susan R and Hoogeveen, Ron C and Arking, Dan E and Selvin, Elizabeth and Chen, Lin Y and Dewland, Thomas A and Marcus, Gregory M} } @article {8476, title = {Non-Esterified Fatty Acids and Hospitalizations among Older Adults: The Cardiovascular Health Study.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2020}, month = {2020 Sep 10}, abstract = {

BACKGROUND: We sought to determine associations between total serum concentrations of non-esterified fatty acids (NEFAs) and incident total and cause-specific hospitalizations in a community-living cohort of elders.

METHODS: We included 4715 participants in the Cardiovascular Health Study who had fasting total serum NEFA measured at the 1992/93 clinic visit and were followed for a median of 12 years. We identified all inpatient admissions requiring at least an overnight hospitalization and used primary diagnostic codes to categorize cause-specific hospitalizations. We used Cox proportional hazards regression models to determine associations with time-to-first hospitalization and Poisson regression for the rate ratios (RR) of hospitalizations and days hospitalized.

RESULTS: We identified 21339 hospitalizations during follow-up. In fully adjusted models, higher total NEFAs were significantly associated with higher risk of incident hospitalization (Hazard Ratio (HR) per SD [0.2 mEq/L]=1.07, 95\%CI=1.03-1.10, P\&0.001), number of hospitalizations (RR per SD=1.04, 95\%CI=1.01-1.07, P=0.01), and total number of days hospitalized (RR per SD=1.06, 95\%CI=1.01-1.10, P=0.01). Among hospitalization subtypes, higher NEFA was associated with higher likelihood of mental, neurologic, respiratory, and musculoskeletal causes of hospitalization. Among specific causes of hospitalization, higher NEFA was associated with diabetes, pneumonia, and gastrointestinal hemorrhage.

CONCLUSIONS: Higher fasting total serum NEFAs are associated with a broad array of causes of hospitalization among older adults. While some of these were expected, our results illustrate a possible utility of NEFAs as biomarkers for risk of hospitalization, and total days hospitalized, in older adults. Further research is needed to determine whether interventions based on NEFAs might be feasible.

}, issn = {1758-535X}, doi = {10.1093/gerona/glaa228}, author = {Ahiawodzi, Peter D and B{\r u}zkov{\'a}, Petra and Djouss{\'e}, Luc and Ix, Joachim H and Kizer, Jorge R and Mukamal, Kenneth J} } @article {8477, title = {Non-Esterified Fatty Acids and Risks of Frailty, Disability, and Mobility Limitation in Older Adults: The Cardiovascular Health Study.}, journal = {J Am Geriatr Soc}, year = {2020}, month = {2020 Sep 22}, abstract = {

BACKGROUND/OBJECTIVES: Non-esterified fatty acids (NEFAs) play central roles in the relationship between adiposity and glucose metabolism, and they have been implicated in the pathogenesis of cardiovascular disease, but few studies have assessed their effects on complex geriatric syndromes like frailty that cross multiple organ systems. We sought to determine the relationships between NEFAs and incident frailty, disability, and mobility limitation in a population-based cohort of older persons.

METHODS: We analyzed 4,710 Cardiovascular Health Study (CHS) participants who underwent measurement of circulating total fasting NEFAs in 1992-1993 and were assessed for frailty in 1996-1997 and for disability and mobility limitation annually. We used ordinal logistic regression to model incident frailty, linear regression to model components of frailty, and Cox regression to model disability and mobility limitation in relation to baseline NEFAs. To ensure proportional hazards, we truncated follow-up at 9 years for disability and 6.5 years for mobility limitation.

RESULTS: A total of 42 participants became frail and 510 became pre-frail over a 4-year period, and we documented 1,720 cases of disability and 1,225 cases of mobility limitation during follow-up. NEFAs were positively associated in a dose-dependent manner with higher risks of incident frailty, disability, and mobility limitation. The adjusted odds ratios for frailty were 1.37 (95\% confidence interval [CI] = 1.01-1.86; P = .04) across extreme tertiles and 1.17 (95\% CI = 1.03-1.33; P = .01) per standard deviation increment. The corresponding hazard ratios for incident disability were 1.14 (95\% CI = 1.01-1.30; P = .04) and 1.11 (95\% CI = 1.06-1.17; P < .0001); those for incident mobility limitation were 1.23 (95\% CI = 1.06-1.43; P = .006) and 1.15 (95\% CI = 1.08-1.22; P < .0001). Results were largely consistent among both men and women. Among individual components of frailty, NEFAs were significantly associated with self-reported exhaustion (β = .07; standard error = .03; P = .02).

CONCLUSION: Circulating NEFAs are significantly associated with frailty, disability, and mobility limitation among older adults. These results highlight the broad spectrum of adverse health issues associated with NEFA in older adults.

}, issn = {1532-5415}, doi = {10.1111/jgs.16793}, author = {Ahiawodzi, Peter and Djouss{\'e}, Luc and Ix, Joachim H and Kizer, Jorge R and Tracy, Russell P and Arnold, Alice and Newman, Anne and Mukamal, Kenneth J} } @article {8478, title = {Non-esterified fatty acids and telomere length in older adults: The Cardiovascular Health Study.}, journal = {Metabol Open}, volume = {8}, year = {2020}, month = {2020 Dec}, pages = {100058}, abstract = {

Background: Telomeres shorten as organisms age, placing limits on cell proliferation and serving as a marker of biological aging. Non-esterified fatty acids (NEFAs) are a key mediator of age-related metabolic abnormalities. We aimed to determine if NEFAs are associated with telomere length in community-living older adults.

Material and methods: We cross-sectionally studied 1648 participants of the Cardiovascular Health Study (CHS) who underwent concomitant telomere length measurement from a sample of 4715 participants who underwent measurement of circulating total fasting NEFAs in stored specimens from their 1992-3 clinic visit. We used linear regression and inverse probability weighting to model telomere length as a function of NEFAs with adjustment for age, gender, race, clinic, BMI, marital status, smoking status, alcohol intake, diabetes status, years of education, hypertension status, prevalent cardiovascular disease, C-reactive protein, total adiponectin, albumin, fetuin-A, fasting insulin, eGFR, total cholesterol, HDL-cholesterol, triglycerides, and general health status.

Results: Higher NEFAs were significantly associated with shorter telomere length, after adjusting for age, gender, race, and clinic site (β~=~-0.034; SE~=~0.015; ~=~0.02). Estimates remained similar in fully adjusted models where each SD of NEFA increment was associated with 0.042 kilobase (kb) pairs shorter telomere length (standard error~=~0.016; ~=~0.007); for comparison the coefficient for a single year of age in the same model was~-0.017. These results were similar in strata of sex, and waist circumference although they tended to be strongest among participants in the youngest tertile of age (β~=~-0.079; SE~=~0.029; P~=~0.01).

Conclusions: In this population-based cohort of community-living elders, we observed a significant inverse association between NEFAs and telomere length. If confirmed, NEFAs may represent a promising target for interventions to slow biological aging.

}, issn = {2589-9368}, doi = {10.1016/j.metop.2020.100058}, author = {Ahiawodzi, Peter and Fitzpatrick, Annette L and Djouss{\'e}, Luc and Ix, Joachim H and Kizer, Jorge R and Mukamal, Kenneth J} } @article {9458, title = {n-3 Fatty Acid Biomarkers and Incident Type 2 Diabetes: An Individual Participant-Level Pooling Project of 20 Prospective Cohort Studies}, journal = {Diabetes Care}, volume = {44}, year = {2021}, month = {May}, pages = {1133{\textendash}1142}, abstract = {-linolenic acid (ALA), eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) with T2D risk through an individual participant-level pooled analysis.\ For our analysis we incorporated data from a global consortium of 20 prospective studies from 14 countries. We included 65,147 participants who had blood measurements of ALA, EPA, DPA, or DHA and were free of diabetes at baseline. De novo harmonized analyses were performed in each cohort following a prespecified protocol, and cohort-specific associations were pooled using inverse variance-weighted meta-analysis.\ 0.001). ALA was not associated with T2D (HR 0.97 [95\% CI 0.92, 1.02]) per interquintile range. Associations were robust across prespecified subgroups as well as in sensitivity analyses.\ Higher circulating biomarkers of seafood-derived n-3 fatty acids, including EPA, DPA, DHA, and their sum, were associated with lower risk of T2D in a global consortium of prospective studies. The biomarker of plant-derived ALA was not significantly associated with T2D risk.}, author = {Qian, F. and Ardisson Korat, A. V. and Imamura, F. and Marklund, M. and Tintle, N. and Virtanen, J. K. and Zhou, X. and Bassett, J. K. and Lai, H. and Hirakawa, Y. and Chien, K. L. and Wood, A. C. and Lankinen, M. and Murphy, R. A. and Samieri, C. and Pertiwi, K. and de Mello, V. D. and Guan, W. and Forouhi, N. G. and Wareham, N. and Hu, I. C. F. B. and Riserus, U. and Lind, L. and Harris, W. S. and Shadyab, A. H. and Robinson, J. G. and Steffen, L. M. and Hodge, A. and Giles, G. G. and Ninomiya, T. and Uusitupa, M. and Tuomilehto, J. and m, J. and Laakso, M. and Siscovick, D. S. and Helmer, C. and Geleijnse, J. M. and Wu, J. H. Y. and Fretts, A. and Lemaitre, R. N. and Micha, R. and Mozaffarian, D. and Sun, Q.} } @article {8658, title = {Natural killer cells, gamma delta T cells and classical monocytes are associated with systolic blood pressure in the multi-ethnic study of atherosclerosis (MESA).}, journal = {BMC Cardiovasc Disord}, volume = {21}, year = {2021}, month = {2021 Jan 22}, pages = {45}, abstract = {

BACKGROUND: Hypertension is a major source of cardiovascular morbidity and mortality. Recent evidence from mouse models, genetic, and cross-sectional human studies suggest increased proportions of selected immune cell subsets may be associated with levels of systolic blood pressure (SBP).

METHODS: We assayed immune cells from cryopreserved samples collected at the baseline examination (2000-2002) from 1195 participants from the multi-ethnic study of atherosclerosis (MESA). We used linear mixed models, with adjustment for age, sex, race/ethnicity, smoking, exercise, body mass index, education, diabetes, and cytomegalovirus titers, to estimate the associations between 30 immune cell subsets (4 of which were a priori hypotheses) and repeated measures of SBP (baseline and up to four follow-up measures) over 10~years. The analysis provides estimates of the association with blood pressure level.

RESULTS: The mean age of the MESA participants at baseline was 64 {\textpm} 10~years and 53\% were male. A one standard deviation (1-SD) increment in the proportion of γδ T cells was associated with 2.40~mmHg [95\% confidence interval (CI) 1.34-3.42] higher average systolic blood pressure; and for natural killer cells, a 1-SD increment was associated with 1.88~mmHg (95\% CI 0.82-2.94) higher average level of systolic blood pressure. A 1-SD increment in classical monocytes (CD14CD16) was associated with 2.01 mmHG (95\% CI 0.79-3.24) lower average systolic blood pressure. There were no associations of CD4 T helper cell subsets with average systolic blood pressure.

CONCLUSION: These findings suggest that the innate immune system plays a role in levels of SBP whereas there were no associations with adaptive immune cells.

}, issn = {1471-2261}, doi = {10.1186/s12872-021-01857-2}, author = {Delaney, Joseph A C and Olson, Nels C and Sitlani, Colleen M and Fohner, Alison E and Huber, Sally A and Landay, Alan L and Heckbert, Susan R and Tracy, Russell P and Psaty, Bruce M and Feinstein, Matt and Doyle, Margaret F} } @article {8668, title = {Nonesterified Fatty Acids and Kidney Function Decline in Older Adults: Findings From the Cardiovascular Health Study.}, journal = {Am J Kidney Dis}, year = {2021}, month = {2021 Feb 03}, abstract = {

RATIONALE \& OBJECTIVE: Circulating non-esterified fatty acids (NEFAs) make up a small portion of circulating lipids but are a metabolically important energy source. Excessive circulating NEFAs may contribute to lipotoxicity in many tissues, including the kidneys. We investigated the relationship between total circulating NEFA concentration and kidney outcomes in older, community-dwelling adults.

STUDY DESIGN: Prospective cohort study.

SETTING \& PARTICIPANTS: 4,698 participants >=65 years of age in the Cardiovascular Health Study who underwent total fasting serum NEFA concentration measurements in 1992-1993.

EXPOSURE: Fasting serum NEFA concentration at one timepoint.

OUTCOMES: Three primary outcomes: estimated glomerular filtration rate (eGFR) decline of >30\%; the composite of eGFR decline >=30\% or kidney failure with replacement therapy (KFRT); and change in eGFR. These outcomes were assessed over 4- and 13-year periods.

ANALYTICAL APPROACH: Logistic regression for the dichotomous outcomes and mixed effects models for the continuous outcome, with sequential adjustment for baseline covariates. Inverse probability of attrition weighting was implemented to account for informative attrition during the follow-up periods.

RESULTS: Serum NEFA concentrations were not independently associated with kidney outcomes. In unadjusted and partially adjusted analyses, the highest quartile of serum NEFA concentration (compared to lowest) was associated with a higher risk of >=30\% eGFR decline at 4 years and faster rate of decline of eGFR. No associations were evident after adjustment for comorbidities, lipid levels, insulin sensitivity, medications, and vital signs: odds ratio 1.33 (95\%CI 0.83-2.13); estimated glomerular filtration rate change per year, Q4 vs Q1: -0.15 ml/min/1.73m/year (95\%CI -0.36 to 0.06).

LIMITATIONS: Single NEFA measurements, no measurements of post-glucose load NEFA concentrations or individual NEFA species, no measurement of baseline urine albumin.

CONCLUSIONS: A single fasting serum NEFA concentration was not independently associated with long-term adverse kidney outcomes in a cohort of older community-living adults.

}, issn = {1523-6838}, doi = {10.1053/j.ajkd.2020.11.030}, author = {Walther, Carl P and Ix, Joachim H and Biggs, Mary L and Kizer, Jorge R and Navaneethan, Sankar D and Djouss{\'e}, Luc and Mukamal, Kenneth J} } @article {9035, title = {New insights into the genetic etiology of Alzheimer{\textquoteright}s disease and related dementias.}, journal = {Nat Genet}, volume = {54}, year = {2022}, month = {2022 Apr}, pages = {412-436}, abstract = {

Characterization of the genetic landscape of Alzheimer{\textquoteright}s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/{\textquoteright}proxy{\textquoteright} AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele.

}, keywords = {Alzheimer Disease, Cognitive Dysfunction, Genome-Wide Association Study, Humans, tau Proteins}, issn = {1546-1718}, doi = {10.1038/s41588-022-01024-z}, author = {Bellenguez, C{\'e}line and K{\"u}{\c c}{\"u}kali, Fahri and Jansen, Iris E and Kleineidam, Luca and Moreno-Grau, Sonia and Amin, Najaf and Naj, Adam C and Campos-Martin, Rafael and Grenier-Boley, Benjamin and Andrade, Victor and Holmans, Peter A and Boland, Anne and Damotte, Vincent and van der Lee, Sven J and Costa, Marcos R and Kuulasmaa, Teemu and Yang, Qiong and de Rojas, Itziar and Bis, Joshua C and Yaqub, Amber and Prokic, Ivana and Chapuis, Julien and Ahmad, Shahzad and Giedraitis, Vilmantas and Aarsland, Dag and Garcia-Gonzalez, Pablo and Abdelnour, Carla and Alarc{\'o}n-Mart{\'\i}n, Emilio and Alcolea, Daniel and Alegret, Montserrat and Alvarez, Ignacio and Alvarez, Victoria and Armstrong, Nicola J and Tsolaki, Anthoula and Antunez, Carmen and Appollonio, Ildebrando and Arcaro, Marina and Archetti, Silvana and Pastor, Alfonso Arias and Arosio, Beatrice and Athanasiu, Lavinia and Bailly, Henri and Banaj, Nerisa and Baquero, Miquel and Barral, Sandra and Beiser, Alexa and Pastor, Ana Bel{\'e}n and Below, Jennifer E and Benchek, Penelope and Benussi, Luisa and Berr, Claudine and Besse, C{\'e}line and Bessi, Valentina and Binetti, Giuliano and Bizarro, Alessandra and Blesa, Rafael and Boada, Merce and Boerwinkle, Eric and Borroni, Barbara and Boschi, Silvia and Boss{\`u}, Paola and Br{\r a}then, Geir and Bressler, Jan and Bresner, Catherine and Brodaty, Henry and Brookes, Keeley J and Brusco, Luis Ignacio and Buiza-Rueda, Dolores and B{\^u}rger, Katharina and Burholt, Vanessa and Bush, William S and Calero, Miguel and Cantwell, Laura B and Chene, Genevi{\`e}ve and Chung, Jaeyoon and Cuccaro, Michael L and Carracedo, Angel and Cecchetti, Roberta and Cervera-Carles, Laura and Charbonnier, Camille and Chen, Hung-Hsin and Chillotti, Caterina and Ciccone, Simona and Claassen, Jurgen A H R and Clark, Christopher and Conti, Elisa and Corma-G{\'o}mez, Ana{\"\i}s and Costantini, Emanuele and Custodero, Carlo and Daian, Delphine and Dalmasso, Maria Carolina and Daniele, Antonio and Dardiotis, Efthimios and Dartigues, Jean-Fran{\c c}ois and de Deyn, Peter Paul and de Paiva Lopes, Katia and de Witte, Lot D and Debette, Stephanie and Deckert, J{\"u}rgen and Del Ser, Teodoro and Denning, Nicola and DeStefano, Anita and Dichgans, Martin and Diehl-Schmid, Janine and Diez-Fairen, Monica and Rossi, Paolo Dionigi and Djurovic, Srdjan and Duron, Emmanuelle and D{\"u}zel, Emrah and Dufouil, Carole and Eiriksdottir, Gudny and Engelborghs, Sebastiaan and Escott-Price, Valentina and Espinosa, Ana and Ewers, Michael and Faber, Kelley M and Fabrizio, Tagliavini and Nielsen, Sune Fallgaard and Fardo, David W and Farotti, Lucia and Fenoglio, Chiara and Fern{\'a}ndez-Fuertes, Marta and Ferrari, Raffaele and Ferreira, Catarina B and Ferri, Evelyn and Fin, Bertrand and Fischer, Peter and Fladby, Tormod and Flie{\ss}bach, Klaus and Fongang, Bernard and Fornage, Myriam and Fortea, Juan and Foroud, Tatiana M and Fostinelli, Silvia and Fox, Nick C and Franco-Mac{\'\i}as, Emlio and Bullido, Mar{\'\i}a J and Frank-Garc{\'\i}a, Ana and Froelich, Lutz and Fulton-Howard, Brian and Galimberti, Daniela and Garc{\'\i}a-Alberca, Jose Maria and Garcia-Gonzalez, Pablo and Garcia-Madrona, Sebastian and Garcia-Ribas, Guillermo and Ghidoni, Roberta and Giegling, Ina and Giorgio, Giaccone and Goate, Alison M and Goldhardt, Oliver and Gomez-Fonseca, Duber and Gonz{\'a}lez-Perez, Antonio and Graff, Caroline and Grande, Giulia and Green, Emma and Grimmer, Timo and Gr{\"u}nblatt, Edna and Grunin, Michelle and Gudnason, Vilmundur and Guetta-Baranes, Tamar and Haapasalo, Annakaisa and Hadjigeorgiou, Georgios and Haines, Jonathan L and Hamilton-Nelson, Kara L and Hampel, Harald and Hanon, Olivier and Hardy, John and Hartmann, Annette M and Hausner, Lucrezia and Harwood, Janet and Heilmann-Heimbach, Stefanie and Helisalmi, Seppo and Heneka, Michael T and Hernandez, Isabel and Herrmann, Martin J and Hoffmann, Per and Holmes, Clive and Holstege, Henne and Vilas, Raquel Huerto and Hulsman, Marc and Humphrey, Jack and Biessels, Geert Jan and Jian, Xueqiu and Johansson, Charlotte and Jun, Gyungah R and Kastumata, Yuriko and Kauwe, John and Kehoe, Patrick G and Kilander, Lena and St{\r a}hlbom, Anne Kinhult and Kivipelto, Miia and Koivisto, Anne and Kornhuber, Johannes and Kosmidis, Mary H and Kukull, Walter A and Kuksa, Pavel P and Kunkle, Brian W and Kuzma, Amanda B and Lage, Carmen and Laukka, Erika J and Launer, Lenore and Lauria, Alessandra and Lee, Chien-Yueh and Lehtisalo, Jenni and Lerch, Ondrej and Lleo, Alberto and Longstreth, William and Lopez, Oscar and de Munain, Adolfo Lopez and Love, Seth and L{\"o}wemark, Malin and Luckcuck, Lauren and Lunetta, Kathryn L and Ma, Yiyi and Mac{\'\i}as, Juan and MacLeod, Catherine A and Maier, Wolfgang and Mangialasche, Francesca and Spallazzi, Marco and Marqui{\'e}, Marta and Marshall, Rachel and Martin, Eden R and Montes, Angel Mart{\'\i}n and Rodr{\'\i}guez, Carmen Mart{\'\i}nez and Masullo, Carlo and Mayeux, Richard and Mead, Simon and Mecocci, Patrizia and Medina, Miguel and Meggy, Alun and Mehrabian, Shima and Mendoza, Silvia and Men{\'e}ndez-Gonz{\'a}lez, Manuel and Mir, Pablo and Moebus, Susanne and Mol, Merel and Molina-Porcel, Laura and Montrreal, Laura and Morelli, Laura and Moreno, Fermin and Morgan, Kevin and Mosley, Thomas and N{\"o}then, Markus M and Muchnik, Carolina and Mukherjee, Shubhabrata and Nacmias, Benedetta and Ngandu, Tiia and Nicolas, Ga{\"e}l and Nordestgaard, B{\o}rge G and Olaso, Robert and Orellana, Adelina and Orsini, Michela and Ortega, Gemma and Padovani, Alessandro and Paolo, Caffarra and Papenberg, Goran and Parnetti, Lucilla and Pasquier, Florence and Pastor, Pau and Peloso, Gina and P{\'e}rez-Cord{\'o}n, Alba and P{\'e}rez-Tur, Jordi and Pericard, Pierre and Peters, Oliver and Pijnenburg, Yolande A L and Pineda, Juan A and Pi{\~n}ol-Ripoll, Gerard and Pisanu, Claudia and Polak, Thomas and Popp, Julius and Posthuma, Danielle and Priller, Josef and Puerta, Raquel and Quenez, Olivier and Quintela, In{\'e}s and Thomassen, Jesper Qvist and R{\'a}bano, Alberto and Rainero, Innocenzo and Rajabli, Farid and Ramakers, Inez and Real, Luis M and Reinders, Marcel J T and Reitz, Christiane and Reyes-Dumeyer, Dolly and Ridge, Perry and Riedel-Heller, Steffi and Riederer, Peter and Roberto, Natalia and Rodriguez-Rodriguez, Eloy and Rongve, Arvid and Allende, Irene Rosas and Rosende-Roca, Mait{\'e}e and Royo, Jose Luis and Rubino, Elisa and Rujescu, Dan and S{\'a}ez, Mar{\'\i}a Eugenia and Sakka, Paraskevi and Saltvedt, Ingvild and Sanabria, {\'A}ngela and S{\'a}nchez-Arjona, Mar{\'\i}a Bernal and Sanchez-Garcia, Florentino and Juan, Pascual S{\'a}nchez and S{\'a}nchez-Valle, Raquel and Sando, Sigrid B and Sarnowski, Chloe and Satizabal, Claudia L and Scamosci, Michela and Scarmeas, Nikolaos and Scarpini, Elio and Scheltens, Philip and Scherbaum, Norbert and Scherer, Martin and Schmid, Matthias and Schneider, Anja and Schott, Jonathan M and Selb{\ae}k, Geir and Seripa, Davide and Serrano, Manuel and Sha, Jin and Shadrin, Alexey A and Skrobot, Olivia and Slifer, Susan and Snijders, Gijsje J L and Soininen, Hilkka and Solfrizzi, Vincenzo and Solomon, Alina and Song, Yeunjoo and Sorbi, Sandro and Sotolongo-Grau, Oscar and Spalletta, Gianfranco and Spottke, Annika and Squassina, Alessio and Stordal, Eystein and Tartan, Juan Pablo and Tarraga, Lluis and Tes{\'\i}, Niccolo and Thalamuthu, Anbupalam and Thomas, Tegos and Tosto, Giuseppe and Traykov, Latchezar and Tremolizzo, Lucio and Tybj{\ae}rg-Hansen, Anne and Uitterlinden, Andre and Ullgren, Abbe and Ulstein, Ingun and Valero, Sergi and Valladares, Otto and Broeckhoven, Christine Van and Vance, Jeffery and Vardarajan, Badri N and van der Lugt, Aad and Dongen, Jasper Van and van Rooij, Jeroen and van Swieten, John and Vandenberghe, Rik and Verhey, Frans and Vidal, Jean-S{\'e}bastien and Vogelgsang, Jonathan and Vyhnalek, Martin and Wagner, Michael and Wallon, David and Wang, Li-San and Wang, Ruiqi and Weinhold, Leonie and Wiltfang, Jens and Windle, Gill and Woods, Bob and Yannakoulia, Mary and Zare, Habil and Zhao, Yi and Zhang, Xiaoling and Zhu, Congcong and Zulaica, Miren and Farrer, Lindsay A and Psaty, Bruce M and Ghanbari, Mohsen and Raj, Towfique and Sachdev, Perminder and Mather, Karen and Jessen, Frank and Ikram, M Arfan and de Mendon{\c c}a, Alexandre and Hort, Jakub and Tsolaki, Magda and Pericak-Vance, Margaret A and Amouyel, Philippe and Williams, Julie and Frikke-Schmidt, Ruth and Clarimon, Jordi and Deleuze, Jean-Francois and Rossi, Giacomina and Seshadri, Sudha and Andreassen, Ole A and Ingelsson, Martin and Hiltunen, Mikko and Sleegers, Kristel and Schellenberg, Gerard D and van Duijn, Cornelia M and Sims, Rebecca and van der Flier, Wiesje M and Ruiz, Agustin and Ramirez, Alfredo and Lambert, Jean-Charles} } @article {9161, title = {Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations.}, journal = {Commun Biol}, volume = {5}, year = {2022}, month = {2022 08 22}, pages = {856}, abstract = {

Polygenic risk scores (PRS) are commonly used to quantify the inherited susceptibility for a trait, yet they fail to account for non-linear and interaction effects between single nucleotide polymorphisms (SNPs). We address this via a machine learning approach, validated in nine complex phenotypes in a multi-ancestry population. We use an ensemble method of SNP selection followed by gradient boosted trees (XGBoost) to allow for non-linearities and interaction effects. We compare our results to the standard, linear PRS model developed using PRSice, LDpred2, and lassosum2. Combining a PRS as a feature in an XGBoost model results in a relative increase in the percentage variance explained compared to the standard linear PRS model by 22\% for height, 27\% for HDL cholesterol, 43\% for body mass index, 50\% for sleep duration, 58\% for systolic blood pressure, 64\% for total cholesterol, 66\% for triglycerides, 77\% for LDL cholesterol, and 100\% for diastolic blood pressure. Multi-ancestry trained models perform similarly to specific racial/ethnic group trained models and are consistently superior to the standard linear PRS models. This work demonstrates an effective method to account for non-linearities and interaction effects in genetics-based prediction models.

}, keywords = {Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Machine Learning, Multifactorial Inheritance, Polymorphism, Single Nucleotide}, issn = {2399-3642}, doi = {10.1038/s42003-022-03812-z}, author = {Elgart, Michael and Lyons, Genevieve and Romero-Brufau, Santiago and Kurniansyah, Nuzulul and Brody, Jennifer A and Guo, Xiuqing and Lin, Henry J and Raffield, Laura and Gao, Yan and Chen, Han and de Vries, Paul and Lloyd-Jones, Donald M and Lange, Leslie A and Peloso, Gina M and Fornage, Myriam and Rotter, Jerome I and Rich, Stephen S and Morrison, Alanna C and Psaty, Bruce M and Levy, Daniel and Redline, Susan and Sofer, Tamar} } @article {9238, title = {Neighborhood greenspace and cognition: The cardiovascular health study.}, journal = {Health Place}, volume = {79}, year = {2023}, month = {2023 Jan 03}, pages = {102960}, abstract = {

OBJECTIVES: We examined whether greenspace measures (overall percent greenspace and forest, and number of greenspace types) were associated with clinically adjudicated dementia status.

METHODS: In a sample of non-demented older adults (n~=~2141, average age~=~75.3 years) from the Cardiovascular Health and Cognition Study, Cox proportional hazard and logistic regression analyses were used to estimate associations of baseline greenspace with risks of incident dementia and MCI, respectively, while adjusting for demographics, co-morbidities, and other neighborhood factors. We derived quartiles of percent greenness (greenspace), forest (percent tree canopy cover), and tertiles of greenspace diversity (number of greenspace types) for 5-km radial buffers around participant{\textquoteright}s residences at study entry (1989-1990) from the 1992 National Land Cover Dataset. Dementia status and mild cognitive impairment (MCI) over 10 years was clinically adjudicated.

RESULTS: We observed no significant association between overall percent greenspace and risk of mild cognitive impairment or dementia and mostly null results for forest and greenspace diversity. Forest greenspace was associated with lower odds of MCI (OR quartile 4 versus 1: 0.54, 95\% CI: 0.29-0.98) and greenspace diversity was associated with lower hazard of incident dementia (HR tertile 2 versus 1: 0.70, 95\% CI~=~0.50-0.99).

DISCUSSION: We found divergent results for different types of greenspace and mild cognitive impairment or dementia. Improved greenspace type and diversity measurement could better characterize the association between greenspace and cognition.

}, issn = {1873-2054}, doi = {10.1016/j.healthplace.2022.102960}, author = {Godina, Sara L and Rosso, Andrea L and Hirsch, Jana A and Besser, Lilah M and Lovasi, Gina S and Donovan, Geoffrey H and Garg, Parveen K and Platt, Jonathan M and Fitzpatrick, Annette L and Lopez, Oscar L and Carlson, Michelle C and Michael, Yvonne L} } @article {9532, title = {Neighborhood greenspace and neighborhood income associated with white matter grade worsening: Cardiovascular Health Study.}, journal = {Alzheimers Dement (Amst)}, volume = {15}, year = {2023}, month = {2023 Oct-Dec}, pages = {e12484}, abstract = {

INTRODUCTION: We examined whether a combined measure of neighborhood greenspace and neighborhood median income was associated with white matter hyperintensity (WMH) and ventricle size changes.

METHODS: The sample included 1260 cognitively normal >= 65-year-olds with two magnetic resonance images (MRI; ≈ 5 years apart). WMH and ventricular size were graded from 0 (least) to 9 (most) abnormal (worsening~=~increase of >=1 grade from initial to follow-up MRI scans). The four-category neighborhood greenspace-income measure was based on median neighborhood greenspace and income values at initial MRI. Multivariable logistic regression tested associations between neighborhood greenspace-income and MRI measures (worsening vs. not).

RESULTS: White matter grade worsening was more likely for those in lower greenspace-lower income neighborhoods than higher greenspace-higher income neighborhoods (odds ratio~=~1.73; 95\% confidence interval~=~1.19-2.51).

DISCUSSION: The combination of lower neighborhood income and lower greenspace may be a risk factor for worsening white matter grade on MRI. However, findings need to be replicated in more diverse cohorts.

HIGHLIGHTS: Population-based cohort of older adults (>= 65 years) with greenspace and MRI dataCombined measure of neighborhood greenspace and neighborhood income at initial MRIMRI outcomes included white matter hyperintensities (WMH) and ventricular sizeLongitudinal change in MRI outcomes measured approximately 5 years apartWorsening WMH over time more likely for lower greenspace-lower income neighborhoods.

}, issn = {2352-8729}, doi = {10.1002/dad2.12484}, author = {Besser, Lilah M and Lovasi, Gina S and Zambrano, Joyce Jimenez and Camacho, Simone and Dhanekula, Devi and Michael, Yvonne L and Garg, Parveen and Hirsch, Jana A and Siscovick, David and Hurvitz, Philip M and Biggs, Mary L and Galvin, James E and Bartz, Traci M and Longstreth, W T} } @article {9284, title = {Non-esterified fatty acids and risk of peripheral artery disease in older adults: The cardiovascular health study.}, journal = {Atherosclerosis}, year = {2023}, month = {2023 Jan 29}, abstract = {

BACKGROUND AND AIMS: Non-esterified fatty acids have been implicated in the pathogenesis of diabetes and cardiovascular disease. No longitudinal study has assessed their effects on peripheral artery disease (PAD). We determined the relationships between NEFAs and incident clinical PAD and abnormal ankle-brachial index (ABI) in a population-based cohort of older persons.

METHODS: We evaluated 4575 community living participants aged >65 years who underwent measurement of circulating NEFAs in fasting specimens and ABI in 1992-1993. Participants were assessed annually for clinical PAD until 2015 and underwent repeat ABI in 1998-1999. We used Cox proportional hazards regression to model the associations between NEFAs and risk of clinical PAD and logistic regression to model the associations of NEFAs with incident abnormal ABI.

RESULTS: Mean age was 74.8 years, 59\% were female, and 17\% were Black. NEFAs were associated with higher risk of clinical PAD in unadjusted and adjusted models. The adjusted hazard ratios for incident clinical PAD were 1.51 (95\%CI~=~1.06-2.13, p~=~0.02) across extreme tertiles, and 1.14 (95\%CI~=~0.99-1.31, p~=~0.08) per standard deviation higher NEFA. The corresponding odds ratios for abnormal ABI were 0.95 (95\%CI~=~0.69-1.32, p~=~0.76) across extreme tertiles, and 1.03 (95\%CI~=~0.89-1.20, p~=~0.68) per standard deviation higher NEFA. Relationships appeared similar irrespective of sex, race, or pre-existing cardiovascular disease, but were stronger later than earlier in follow-up.

CONCLUSIONS: Higher serum levels of NEFAs are significantly associated with increased likelihood of clinical PAD over long-term follow-up but not with 6-year decline in ABI. NEFAs may offer a potential target for intervention against clinical PAD.

}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2023.01.020}, author = {Ahiawodzi, Peter and Solaru, Khendi White and Chaves, Paulo H M and Ix, Joachim H and Kizer, Jorge R and Tracy, Russell P and Newman, Anne and Siscovick, David and Djouss{\'e}, Luc and Mukamal, Kenneth J} }