TY - JOUR T1 - Lipoprotein lipids in older people. Results from the Cardiovascular Health Study. The CHS Collaborative Research Group. JF - Circulation Y1 - 1992 A1 - Ettinger, W H A1 - Wahl, P W A1 - Kuller, L H A1 - Bush, T L A1 - Tracy, R P A1 - Manolio, T A A1 - Borhani, N O A1 - Wong, N D A1 - O'Leary, D H KW - Aged KW - Aging KW - Cardiovascular Diseases KW - Cardiovascular Physiological Phenomena KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Cross-Sectional Studies KW - Female KW - Health Status KW - Humans KW - Lipids KW - Lipoproteins KW - Male KW - Multivariate Analysis KW - Triglycerides AB -

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

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

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

VL - 86 IS - 3 U1 - https://www.ncbi.nlm.nih.gov/pubmed/1516198?dopt=Abstract ER - TY - JOUR T1 - Laboratory methods and quality assurance in the Cardiovascular Health Study. JF - Clin Chem Y1 - 1995 A1 - Cushman, M A1 - Cornell, E S A1 - Howard, P R A1 - Bovill, E G A1 - Tracy, R P KW - Aged KW - Blood Glucose KW - Blood Specimen Collection KW - Cardiovascular Diseases KW - Chemistry, Clinical KW - Factor VII KW - Factor VIII KW - Fibrinogen KW - Humans KW - Insulin KW - Quality Control KW - Regression Analysis KW - Triglycerides AB -

The Cardiovascular Health Study is an observational cohort study of risk factors for cardiovascular disease in 5201 participants, ages > or = 65 years. We report the methods and quality-assurance results for blood procurement, processing, shipping, storage, and sample analysis used during the first examination period (May 1989-June 1990). The most frequent difficulty in phlebotomy and processing was the requirement of more than one venipuncture (in 2.6% of the participants). The CVs for control materials ranged from 0.93% for glucose to 10.7% for insulin; most were < 4%. In addition to standard quality-assurance methods, we applied two other methods: technical error calculation for replicates, and weighted linear regression to assess time trend in results of control materials. After outliers were excluded, technical error values ranged from 1.7 for uric acid to 18.8 for insulin. Factor VII and factor VIII had slight trends over the 12-month analysis period. Results of quality-assurance analyses used to resolve problems were successful, thereby improving the second laboratory examination.

VL - 41 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/7874780?dopt=Abstract ER - TY - JOUR T1 - Increased blood glucose and insulin, body size, and incident colorectal cancer. JF - J Natl Cancer Inst Y1 - 1999 A1 - Schoen, R E A1 - Tangen, C M A1 - Kuller, L H A1 - Burke, G L A1 - Cushman, M A1 - Tracy, R P A1 - Dobs, A A1 - Savage, P J KW - Adipose Tissue KW - Aged KW - Blood Glucose KW - Body Constitution KW - Cholesterol, HDL KW - Colorectal Neoplasms KW - Female KW - Humans KW - Incidence KW - Insulin KW - Male KW - Prospective Studies KW - Risk KW - Triglycerides KW - Viscera AB -

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

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

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

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

VL - 91 IS - 13 U1 - https://www.ncbi.nlm.nih.gov/pubmed/10393723?dopt=Abstract ER - TY - JOUR T1 - The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases. JF - Eur J Epidemiol Y1 - 2007 A1 - Danesh, J A1 - Erqou, S A1 - Walker, M A1 - Thompson, S G A1 - Tipping, R A1 - Ford, C A1 - Pressel, S A1 - Walldius, G A1 - Jungner, I A1 - Folsom, A R A1 - Chambless, L E A1 - Knuiman, M A1 - Whincup, P H A1 - Wannamethee, S G A1 - Morris, R W A1 - Willeit, J A1 - Kiechl, S A1 - Santer, P A1 - Mayr, A A1 - Wald, N A1 - Ebrahim, S A1 - Lawlor, D A A1 - Yarnell, J W G A1 - Gallacher, J A1 - Casiglia, E A1 - Tikhonoff, V A1 - Nietert, P J A1 - Sutherland, S E A1 - Bachman, D L A1 - Keil, J E A1 - Cushman, M A1 - Psaty, B M A1 - Tracy, R P A1 - Tybjaerg-Hansen, A A1 - Nordestgaard, B G A1 - Frikke-Schmidt, R A1 - Giampaoli, S A1 - Palmieri, L A1 - Panico, S A1 - Vanuzzo, D A1 - Pilotto, L A1 - Simons, L A1 - McCallum, J A1 - Friedlander, Y A1 - Fowkes, F G R A1 - Lee, A J A1 - Smith, F B A1 - Taylor, J A1 - Guralnik, J A1 - Phillips, C A1 - Wallace, R A1 - Blazer, D A1 - Khaw, K T A1 - Jansson, J H A1 - Donfrancesco, C A1 - Salomaa, V A1 - Harald, K A1 - Jousilahti, P A1 - Vartiainen, E A1 - Woodward, M A1 - D'Agostino, R B A1 - Wolf, P A A1 - Vasan, R S A1 - Pencina, M J A1 - Bladbjerg, E M A1 - Jorgensen, T A1 - Moller, L A1 - Jespersen, J A1 - Dankner, R A1 - Chetrit, A A1 - Lubin, F A1 - Rosengren, A A1 - Wilhelmsen, L A1 - Lappas, G A1 - Eriksson, H A1 - Bjorkelund, C A1 - Cremer, P A1 - Nagel, D A1 - Tilvis, R A1 - Strandberg, T A1 - Rodriguez, B A1 - Bouter, L M A1 - Heine, R J A1 - Dekker, J M A1 - Nijpels, G A1 - Stehouwer, C D A A1 - Rimm, E A1 - Pai, J A1 - Sato, S A1 - Iso, H A1 - Kitamura, A A1 - Noda, H A1 - Goldbourt, U A1 - Salomaa, V A1 - Salonen, J T A1 - Nyyssönen, K A1 - Tuomainen, T-P A1 - Deeg, D A1 - Poppelaars, J L A1 - Meade, T A1 - Cooper, J A1 - Hedblad, B A1 - Berglund, G A1 - Engstrom, G A1 - Döring, A A1 - Koenig, W A1 - Meisinger, C A1 - Mraz, W A1 - Kuller, L A1 - Selmer, R A1 - Tverdal, A A1 - Nystad, W A1 - Gillum, R A1 - Mussolino, M A1 - Hankinson, S A1 - Manson, J A1 - De Stavola, B A1 - Knottenbelt, C A1 - Cooper, J A A1 - Bauer, K A A1 - Rosenberg, R D A1 - Sato, S A1 - Naito, Y A1 - Holme, I A1 - Nakagawa, H A1 - Miura, H A1 - Ducimetiere, P A1 - Jouven, X A1 - Crespo, C A1 - Garcia-Palmieri, M A1 - Amouyel, P A1 - Arveiler, D A1 - Evans, A A1 - Ferrieres, J A1 - Schulte, H A1 - Assmann, G A1 - Shepherd, J A1 - Packard, C A1 - Sattar, N A1 - Cantin, B A1 - Lamarche, B A1 - Després, J-P A1 - Dagenais, G R A1 - Barrett-Connor, E A1 - Wingard, D A1 - Bettencourt, R A1 - Gudnason, V A1 - Aspelund, T A1 - Sigurdsson, G A1 - Thorsson, B A1 - Trevisan, M A1 - Witteman, J A1 - Kardys, I A1 - Breteler, M A1 - Hofman, A A1 - Tunstall-Pedoe, H A1 - Tavendale, R A1 - Lowe, G D O A1 - Ben-Shlomo, Y A1 - Howard, B V A1 - Zhang, Y A1 - Best, L A1 - Umans, J A1 - Onat, A A1 - Meade, T W A1 - Njolstad, I A1 - Mathiesen, E A1 - Lochen, M L A1 - Wilsgaard, T A1 - Gaziano, J M A1 - Stampfer, M A1 - Ridker, P A1 - Ulmer, H A1 - Diem, G A1 - Concin, H A1 - Rodeghiero, F A1 - Tosetto, A A1 - Brunner, E A1 - Shipley, M A1 - Buring, J A1 - Cobbe, S M A1 - Ford, I A1 - Robertson, M A1 - He, Y A1 - Ibanez, A M A1 - Feskens, E J M A1 - Kromhout, D A1 - Collins, R A1 - Di Angelantonio, E A1 - Kaptoge, S A1 - Lewington, S A1 - Orfei, L A1 - Pennells, L A1 - Perry, P A1 - Ray, K A1 - Sarwar, N A1 - Scherman, M A1 - Thompson, A A1 - Watson, S A1 - Wensley, F A1 - White, I R A1 - Wood, A M KW - Albumins KW - Biomarkers KW - Cardiovascular Diseases KW - Databases, Factual KW - Far East KW - Humans KW - Inflammation KW - Leukocyte Count KW - Lipids KW - Lipoproteins, HDL KW - Prospective Studies KW - Risk Factors KW - Triglycerides AB -

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

VL - 22 IS - 12 U1 - https://www.ncbi.nlm.nih.gov/pubmed/17876711?dopt=Abstract ER - TY - JOUR T1 - Risk factors for intracerebral hemorrhage in a pooled prospective study. JF - Stroke Y1 - 2007 A1 - Sturgeon, Jared D A1 - Folsom, Aaron R A1 - Longstreth, W T A1 - Shahar, Eyal A1 - Rosamond, Wayne D A1 - Cushman, Mary KW - African Americans KW - Age Distribution KW - Cerebral Hemorrhage KW - Cholesterol, LDL KW - Female KW - Follow-Up Studies KW - Humans KW - Hypertension KW - Incidence KW - Male KW - Middle Aged KW - Multivariate Analysis KW - Predictive Value of Tests KW - Prevalence KW - Prospective Studies KW - Risk Factors KW - Stroke KW - Triglycerides AB -

BACKGROUND AND PURPOSE: Few prospective studies have reported risk factors for intracerebral hemorrhage (ICH), and results are inconsistent. We studied risk factors for ICH in a pooled cohort of the Atherosclerosis Risk in Communities Study (ARIC) and the Cardiovascular Health Study (CHS).

METHODS: The ARIC cohort was recruited in 1987 to 1989 and involves 15 792 men and women, aged 45 to 64 years at baseline, sampled from 4 US communities. The CHS cohort was recruited in 1989 to 1993 and involves 5888 men and women, aged 65 or over at baseline, sampled from 4 US communities. Baseline measurements included many potential vascular risk factors. The cohorts were followed for incident stroke events.

RESULTS: Over 263 489 person-years of follow-up, 135 incident ICH events occurred. In a multivariable model, age, African-American ethnicity (versus Whites), and hypertension were positively associated with incident ICH, whereas low-density lipoprotein cholesterol and triglycerides were inversely related to incident ICH. Participants with systolic blood pressure >or=160 mm Hg or diastolic blood pressure >/=110 mm Hg had 5.55 (95% CI 3.07 to 10.0) times the rate of ICH as nonhypertensives. Sex, smoking, alcohol intake, body mass index, waist-to-hip ratio, waist circumference, and diabetes were not related to ICH.

CONCLUSIONS: In this pooled cohort the risk factors for ICH were older age, African-American ethnicity, hypertension, lower LDL-C, and lower triglycerides.

VL - 38 IS - 10 U1 - https://www.ncbi.nlm.nih.gov/pubmed/17761915?dopt=Abstract ER - TY - JOUR T1 - Distribution and correlates of lipoprotein-associated phospholipase A2 in an elderly cohort: the Cardiovascular Health Study. JF - J Am Geriatr Soc Y1 - 2008 A1 - Furberg, Curt D A1 - Nelson, Jeanenne J A1 - Solomon, Cam A1 - Cushman, Mary A1 - Jenny, Nancy Swords A1 - Psaty, Bruce M KW - 1-Alkyl-2-acetylglycerophosphocholine Esterase KW - Aged KW - Atherosclerosis KW - Body Mass Index KW - Cardiac Output, Low KW - Cardiovascular Diseases KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Cohort Studies KW - Cross-Sectional Studies KW - Electrocardiography KW - Female KW - Heart Failure KW - Humans KW - Hypertrophy, Left Ventricular KW - Long QT Syndrome KW - Male KW - Reference Values KW - Renal Insufficiency KW - Risk Factors KW - Statistics as Topic KW - Triglycerides AB -

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

DESIGN: Cross-sectional.

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

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

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

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

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

VL - 56 IS - 5 U1 - https://www.ncbi.nlm.nih.gov/pubmed/18363676?dopt=Abstract ER - TY - JOUR T1 - Age-related macular degeneration and risk of coronary heart disease and stroke: the Cardiovascular Health Study. JF - Ophthalmology Y1 - 2009 A1 - Sun, Cong A1 - Klein, Ronald A1 - Wong, Tien Y KW - African Americans KW - Age Factors KW - Aged KW - Aged, 80 and over KW - Blood Pressure KW - Cholesterol, LDL KW - Coronary Disease KW - European Continental Ancestry Group KW - Female KW - Humans KW - Incidence KW - Macular Degeneration KW - Male KW - Prospective Studies KW - Risk Factors KW - Sex Factors KW - Stroke KW - Triglycerides KW - United States AB -

PURPOSE: To examine the associations of age-related macular degeneration (AMD) with incident coronary heart disease (CHD) and stroke in the Cardiovascular Health Study.

DESIGN: Population-based prospective cohort study.

PARTICIPANTS: A total of 1786 white and African-American participants free of CHD or 2228 participants free of stroke, aged 69 to 97 years.

METHODS: AMD was evaluated from photographs taken in 1997 and 1998.

MAIN OUTCOME MEASURES: Incident CHD and stroke ascertained using standardized methods.

RESULTS: Of the 1786 persons free of CHD, 303 developed incident CHD over 7 years. Participants with early AMD (n = 277) had a higher cumulative incidence of CHD than participants without early AMD (25.8% vs. 18.9%, P = 0.001). By adjusting for age, gender, race, systolic and diastolic blood pressure, hypertension status, fasting glucose, triglyceride, low-density lipoprotein cholesterol, cigarette smoking, pack years of smoking, and C-reactive protein, the presence of early AMD was associated with an increased risk of incident CHD (hazard ratio 1.57; 95% confidence interval, 1.17-2.22). Late AMD (n = 25) was not associated with incident CHD (hazard ratio 0.78; 95% confidence interval, 0.25-2.48). Among 2228 persons at risk, 198 developed incident stroke; neither early nor late AMD was associated with incident stroke.

CONCLUSIONS: This study suggests persons with early AMD have a higher risk of CHD but not stroke in a population aged 69 to 97 years. This provides further support that AMD is associated with underlying systemic vascular disease.

VL - 116 IS - 10 U1 - http://www.ncbi.nlm.nih.gov/pubmed/19592102?dopt=Abstract ER - TY - JOUR T1 - Biological, clinical and population relevance of 95 loci for blood lipids. JF - Nature Y1 - 2010 A1 - Teslovich, Tanya M A1 - Musunuru, Kiran A1 - Smith, Albert V A1 - Edmondson, Andrew C A1 - Stylianou, Ioannis M A1 - Koseki, Masahiro A1 - Pirruccello, James P A1 - Ripatti, Samuli A1 - Chasman, Daniel I A1 - Willer, Cristen J A1 - Johansen, Christopher T A1 - Fouchier, Sigrid W A1 - Isaacs, Aaron A1 - Peloso, Gina M A1 - Barbalic, Maja A1 - Ricketts, Sally L A1 - Bis, Joshua C A1 - Aulchenko, Yurii S A1 - Thorleifsson, Gudmar A1 - Feitosa, Mary F A1 - Chambers, John A1 - Orho-Melander, Marju A1 - Melander, Olle A1 - Johnson, Toby A1 - Li, Xiaohui A1 - Guo, Xiuqing A1 - Li, Mingyao A1 - Shin Cho, Yoon A1 - Jin Go, Min A1 - Jin Kim, Young A1 - Lee, Jong-Young A1 - Park, Taesung A1 - Kim, Kyunga A1 - Sim, Xueling A1 - Twee-Hee Ong, Rick A1 - Croteau-Chonka, Damien C A1 - Lange, Leslie A A1 - Smith, Joshua D A1 - Song, Kijoung A1 - Hua Zhao, Jing A1 - Yuan, Xin A1 - Luan, Jian'an A1 - Lamina, Claudia A1 - Ziegler, Andreas A1 - Zhang, Weihua A1 - Zee, Robert Y L A1 - Wright, Alan F A1 - Witteman, Jacqueline C M A1 - Wilson, James F A1 - Willemsen, Gonneke A1 - Wichmann, H-Erich A1 - Whitfield, John B A1 - Waterworth, Dawn M A1 - Wareham, Nicholas J A1 - Waeber, Gérard A1 - Vollenweider, Peter A1 - Voight, Benjamin F A1 - Vitart, Veronique A1 - Uitterlinden, André G A1 - Uda, Manuela A1 - Tuomilehto, Jaakko A1 - Thompson, John R A1 - Tanaka, Toshiko A1 - Surakka, Ida A1 - Stringham, Heather M A1 - Spector, Tim D A1 - Soranzo, Nicole A1 - Smit, Johannes H A1 - Sinisalo, Juha A1 - Silander, Kaisa A1 - Sijbrands, Eric J G A1 - Scuteri, Angelo A1 - Scott, James A1 - Schlessinger, David A1 - Sanna, Serena A1 - Salomaa, Veikko A1 - Saharinen, Juha A1 - Sabatti, Chiara A1 - Ruokonen, Aimo A1 - Rudan, Igor A1 - Rose, Lynda M A1 - Roberts, Robert A1 - Rieder, Mark A1 - Psaty, Bruce M A1 - Pramstaller, Peter P A1 - Pichler, Irene A1 - Perola, Markus A1 - Penninx, Brenda W J H A1 - Pedersen, Nancy L A1 - Pattaro, Cristian A1 - Parker, Alex N A1 - Paré, Guillaume A1 - Oostra, Ben A A1 - O'Donnell, Christopher J A1 - Nieminen, Markku S A1 - Nickerson, Deborah A A1 - Montgomery, Grant W A1 - Meitinger, Thomas A1 - McPherson, Ruth A1 - McCarthy, Mark I A1 - McArdle, Wendy A1 - Masson, David A1 - Martin, Nicholas G A1 - Marroni, Fabio A1 - Mangino, Massimo A1 - Magnusson, Patrik K E A1 - Lucas, Gavin A1 - Luben, Robert A1 - Loos, Ruth J F A1 - Lokki, Marja-Liisa A1 - Lettre, Guillaume A1 - Langenberg, Claudia A1 - Launer, Lenore J A1 - Lakatta, Edward G A1 - Laaksonen, Reijo A1 - Kyvik, Kirsten O A1 - Kronenberg, Florian A1 - König, Inke R A1 - Khaw, Kay-Tee A1 - Kaprio, Jaakko A1 - Kaplan, Lee M A1 - Johansson, Asa A1 - Jarvelin, Marjo-Riitta A1 - Janssens, A Cecile J W A1 - Ingelsson, Erik A1 - Igl, Wilmar A1 - Kees Hovingh, G A1 - Hottenga, Jouke-Jan A1 - Hofman, Albert A1 - Hicks, Andrew A A1 - Hengstenberg, Christian A1 - Heid, Iris M A1 - Hayward, Caroline A1 - Havulinna, Aki S A1 - Hastie, Nicholas D A1 - Harris, Tamara B A1 - Haritunians, Talin A1 - Hall, Alistair S A1 - Gyllensten, Ulf A1 - Guiducci, Candace A1 - Groop, Leif C A1 - Gonzalez, Elena A1 - Gieger, Christian A1 - Freimer, Nelson B A1 - Ferrucci, Luigi A1 - Erdmann, Jeanette A1 - Elliott, Paul A1 - Ejebe, Kenechi G A1 - Döring, Angela A1 - Dominiczak, Anna F A1 - Demissie, Serkalem A1 - Deloukas, Panagiotis A1 - de Geus, Eco J C A1 - de Faire, Ulf A1 - Crawford, Gabriel A1 - Collins, Francis S A1 - Chen, Yii-der I A1 - Caulfield, Mark J A1 - Campbell, Harry A1 - Burtt, Noel P A1 - Bonnycastle, Lori L A1 - Boomsma, Dorret I A1 - Boekholdt, S Matthijs A1 - Bergman, Richard N A1 - Barroso, Inês A1 - Bandinelli, Stefania A1 - Ballantyne, Christie M A1 - Assimes, Themistocles L A1 - Quertermous, Thomas A1 - Altshuler, David A1 - Seielstad, Mark A1 - Wong, Tien Y A1 - Tai, E-Shyong A1 - Feranil, Alan B A1 - Kuzawa, Christopher W A1 - Adair, Linda S A1 - Taylor, Herman A A1 - Borecki, Ingrid B A1 - Gabriel, Stacey B A1 - Wilson, James G A1 - Holm, Hilma A1 - Thorsteinsdottir, Unnur A1 - Gudnason, Vilmundur A1 - Krauss, Ronald M A1 - Mohlke, Karen L A1 - Ordovas, Jose M A1 - Munroe, Patricia B A1 - Kooner, Jaspal S A1 - Tall, Alan R A1 - Hegele, Robert A A1 - Kastelein, John J P A1 - Schadt, Eric E A1 - Rotter, Jerome I A1 - Boerwinkle, Eric A1 - Strachan, David P A1 - Mooser, Vincent A1 - Stefansson, Kari A1 - Reilly, Muredach P A1 - Samani, Nilesh J A1 - Schunkert, Heribert A1 - Cupples, L Adrienne A1 - Sandhu, Manjinder S A1 - Ridker, Paul M A1 - Rader, Daniel J A1 - van Duijn, Cornelia M A1 - Peltonen, Leena A1 - Abecasis, Goncalo R A1 - Boehnke, Michael A1 - Kathiresan, Sekar KW - African Americans KW - Animals KW - Asian Continental Ancestry Group KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Coronary Artery Disease KW - Europe KW - European Continental Ancestry Group KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Genotype KW - Humans KW - Lipid Metabolism KW - Lipids KW - Liver KW - Male KW - Mice KW - N-Acetylgalactosaminyltransferases KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Protein Phosphatase 1 KW - Reproducibility of Results KW - Triglycerides AB -

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

VL - 466 IS - 7307 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20686565?dopt=Abstract ER - TY - JOUR T1 - Candidate gene association resource (CARe): design, methods, and proof of concept. JF - Circ Cardiovasc Genet Y1 - 2010 A1 - Musunuru, Kiran A1 - Lettre, Guillaume A1 - Young, Taylor A1 - Farlow, Deborah N A1 - Pirruccello, James P A1 - Ejebe, Kenechi G A1 - Keating, Brendan J A1 - Yang, Qiong A1 - Chen, Ming-Huei A1 - Lapchyk, Nina A1 - Crenshaw, Andrew A1 - Ziaugra, Liuda A1 - Rachupka, Anthony A1 - Benjamin, Emelia J A1 - Cupples, L Adrienne A1 - Fornage, Myriam A1 - Fox, Ervin R A1 - Heckbert, Susan R A1 - Hirschhorn, Joel N A1 - Newton-Cheh, Christopher A1 - Nizzari, Marcia M A1 - Paltoo, Dina N A1 - Papanicolaou, George J A1 - Patel, Sanjay R A1 - Psaty, Bruce M A1 - Rader, Daniel J A1 - Redline, Susan A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Taylor, Herman A A1 - Tracy, Russell P A1 - Vasan, Ramachandran S A1 - Wilson, James G A1 - Kathiresan, Sekar A1 - Fabsitz, Richard R A1 - Boerwinkle, Eric A1 - Gabriel, Stacey B KW - African Americans KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Cohort Studies KW - Databases, Genetic KW - European Continental Ancestry Group KW - Genetic Association Studies KW - Genotype KW - Humans KW - Phenotype KW - Pilot Projects KW - Polymorphism, Single Nucleotide KW - Research Design KW - Triglycerides AB -

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

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

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

VL - 3 IS - 3 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20400780?dopt=Abstract ER - TY - JOUR T1 - Circulating palmitoleic acid and risk of metabolic abnormalities and new-onset diabetes. JF - Am J Clin Nutr Y1 - 2010 A1 - Mozaffarian, Dariush A1 - Cao, Haiming A1 - King, Irena B A1 - Lemaitre, Rozenn N A1 - Song, Xiaoling A1 - Siscovick, David S A1 - Hotamisligil, Gökhan S KW - Aged KW - Aged, 80 and over KW - Alcohol Drinking KW - Body Mass Index KW - Cholesterol KW - Cholesterol, HDL KW - Diabetes Mellitus KW - Diet KW - Dietary Carbohydrates KW - Fatty Acids, Monounsaturated KW - Female KW - Fibrinogen KW - Humans KW - Insulin Resistance KW - Life Style KW - Lipids KW - Male KW - Proportional Hazards Models KW - Prospective Studies KW - Risk Factors KW - Sex Factors KW - Triglycerides AB -

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

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

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

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

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

VL - 92 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20943795?dopt=Abstract ER - TY - JOUR T1 - C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis. JF - Lancet Y1 - 2010 A1 - Kaptoge, Stephen A1 - Di Angelantonio, Emanuele A1 - Lowe, Gordon A1 - Pepys, Mark B A1 - Thompson, Simon G A1 - Collins, Rory A1 - Danesh, John KW - Alcohol Drinking KW - Biomarkers KW - Blood Pressure KW - Body Mass Index KW - C-Reactive Protein KW - Cholesterol KW - Coronary Disease KW - Databases, Factual KW - Diabetes Mellitus KW - Female KW - Fibrinogen KW - Humans KW - Interleukin-6 KW - Leukocyte Count KW - Lung Diseases KW - Male KW - Middle Aged KW - Motor Activity KW - Neoplasms KW - Regression Analysis KW - Risk Assessment KW - Risk Factors KW - Serum Albumin KW - Sex Factors KW - Smoking KW - Stroke KW - Triglycerides AB -

BACKGROUND: Associations of C-reactive protein (CRP) concentration with risk of major diseases can best be assessed by long-term prospective follow-up of large numbers of people. We assessed the associations of CRP concentration with risk of vascular and non-vascular outcomes under different circumstances.

METHODS: We meta-analysed individual records of 160 309 people without a history of vascular disease (ie, 1.31 million person-years at risk, 27 769 fatal or non-fatal disease outcomes) from 54 long-term prospective studies. Within-study regression analyses were adjusted for within-person variation in risk factor levels.

RESULTS: Log(e) CRP concentration was linearly associated with several conventional risk factors and inflammatory markers, and nearly log-linearly with the risk of ischaemic vascular disease and non-vascular mortality. Risk ratios (RRs) for coronary heart disease per 1-SD higher log(e) CRP concentration (three-fold higher) were 1.63 (95% CI 1.51-1.76) when initially adjusted for age and sex only, and 1.37 (1.27-1.48) when adjusted further for conventional risk factors; 1.44 (1.32-1.57) and 1.27 (1.15-1.40) for ischaemic stroke; 1.71 (1.53-1.91) and 1.55 (1.37-1.76) for vascular mortality; and 1.55 (1.41-1.69) and 1.54 (1.40-1.68) for non-vascular mortality. RRs were largely unchanged after exclusion of smokers or initial follow-up. After further adjustment for fibrinogen, the corresponding RRs were 1.23 (1.07-1.42) for coronary heart disease; 1.32 (1.18-1.49) for ischaemic stroke; 1.34 (1.18-1.52) for vascular mortality; and 1.34 (1.20-1.50) for non-vascular mortality.

INTERPRETATION: CRP concentration has continuous associations with the risk of coronary heart disease, ischaemic stroke, vascular mortality, and death from several cancers and lung disease that are each of broadly similar size. The relevance of CRP to such a range of disorders is unclear. Associations with ischaemic vascular disease depend considerably on conventional risk factors and other markers of inflammation.

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

VL - 375 IS - 9709 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20031199?dopt=Abstract ER - TY - JOUR T1 - Trans-palmitoleic acid, metabolic risk factors, and new-onset diabetes in U.S. adults: a cohort study. JF - Ann Intern Med Y1 - 2010 A1 - Mozaffarian, Dariush A1 - Cao, Haiming A1 - King, Irena B A1 - Lemaitre, Rozenn N A1 - Song, Xiaoling A1 - Siscovick, David S A1 - Hotamisligil, Gökhan S KW - Adiposity KW - Aged KW - C-Reactive Protein KW - Cholesterol KW - Cholesterol, HDL KW - Dairy Products KW - Diabetes Mellitus, Type 2 KW - Fatty Acids, Monounsaturated KW - Feeding Behavior KW - Female KW - Humans KW - Incidence KW - Insulin Resistance KW - Male KW - Prospective Studies KW - Risk Factors KW - Triglycerides KW - United States AB -

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

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

DESIGN: Prospective cohort study from 1992 to 2006.

SETTING: Four U.S. communities.

PATIENTS: 3736 adults in the Cardiovascular Health Study.

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

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

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

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

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

VL - 153 IS - 12 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21173413?dopt=Abstract ER - TY - JOUR T1 - Triglyceride-mediated pathways and coronary disease: collaborative analysis of 101 studies. JF - Lancet Y1 - 2010 A1 - Sarwar, Nadeem A1 - Sandhu, Manjinder S A1 - Ricketts, Sally L A1 - Butterworth, Adam S A1 - Di Angelantonio, Emanuele A1 - Boekholdt, S Matthijs A1 - Ouwehand, Willem A1 - Watkins, Hugh A1 - Samani, Nilesh J A1 - Saleheen, Danish A1 - Lawlor, Debbie A1 - Reilly, Muredach P A1 - Hingorani, Aroon D A1 - Talmud, Philippa J A1 - Danesh, John KW - Apolipoprotein A-V KW - Apolipoproteins KW - Apolipoproteins A KW - Coronary Disease KW - Gene Frequency KW - Genotype KW - Humans KW - Lipids KW - Lipoproteins, HDL KW - Lipoproteins, LDL KW - Lipoproteins, VLDL KW - Mendelian Randomization Analysis KW - Particle Size KW - Polymorphism, Single Nucleotide KW - Promoter Regions, Genetic KW - Risk Factors KW - Triglycerides AB -

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

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

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

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

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

VL - 375 IS - 9726 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20452521?dopt=Abstract ER - TY - JOUR T1 - Genetic determinants of lipid traits in diverse populations from the population architecture using genomics and epidemiology (PAGE) study. JF - PLoS Genet Y1 - 2011 A1 - Dumitrescu, Logan A1 - Carty, Cara L A1 - Taylor, Kira A1 - Schumacher, Fredrick R A1 - Hindorff, Lucia A A1 - Ambite, José L A1 - Anderson, Garnet A1 - Best, Lyle G A1 - Brown-Gentry, Kristin A1 - Bůzková, Petra A1 - Carlson, Christopher S A1 - Cochran, Barbara A1 - Cole, Shelley A A1 - Devereux, Richard B A1 - Duggan, Dave A1 - Eaton, Charles B A1 - Fornage, Myriam A1 - Franceschini, Nora A1 - Haessler, Jeff A1 - Howard, Barbara V A1 - Johnson, Karen C A1 - Laston, Sandra A1 - Kolonel, Laurence N A1 - Lee, Elisa T A1 - MacCluer, Jean W A1 - Manolio, Teri A A1 - Pendergrass, Sarah A A1 - Quibrera, Miguel A1 - Shohet, Ralph V A1 - Wilkens, Lynne R A1 - Haiman, Christopher A A1 - Le Marchand, Loïc A1 - Buyske, Steven A1 - Kooperberg, Charles A1 - North, Kari E A1 - Crawford, Dana C KW - Adolescent KW - Adult KW - Aged KW - Aged, 80 and over KW - Continental Population Groups KW - Female KW - Gene Frequency KW - Genetics, Population KW - Genome-Wide Association Study KW - Humans KW - Linkage Disequilibrium KW - Lipid Metabolism KW - Lipoproteins, HDL KW - Lipoproteins, LDL KW - Male KW - Middle Aged KW - Molecular Epidemiology KW - Polymorphism, Single Nucleotide KW - Quantitative Trait Loci KW - Risk Factors KW - Triglycerides KW - Young Adult AB -

For the past five years, genome-wide association studies (GWAS) have identified hundreds of common variants associated with human diseases and traits, including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) levels. Approximately 95 loci associated with lipid levels have been identified primarily among populations of European ancestry. The Population Architecture using Genomics and Epidemiology (PAGE) study was established in 2008 to characterize GWAS-identified variants in diverse population-based studies. We genotyped 49 GWAS-identified SNPs associated with one or more lipid traits in at least two PAGE studies and across six racial/ethnic groups. We performed a meta-analysis testing for SNP associations with fasting HDL-C, LDL-C, and ln(TG) levels in self-identified European American (~20,000), African American (~9,000), American Indian (~6,000), Mexican American/Hispanic (~2,500), Japanese/East Asian (~690), and Pacific Islander/Native Hawaiian (~175) adults, regardless of lipid-lowering medication use. We replicated 55 of 60 (92%) SNP associations tested in European Americans at p<0.05. Despite sufficient power, we were unable to replicate ABCA1 rs4149268 and rs1883025, CETP rs1864163, and TTC39B rs471364 previously associated with HDL-C and MAFB rs6102059 previously associated with LDL-C. Based on significance (p<0.05) and consistent direction of effect, a majority of replicated genotype-phentoype associations for HDL-C, LDL-C, and ln(TG) in European Americans generalized to African Americans (48%, 61%, and 57%), American Indians (45%, 64%, and 77%), and Mexican Americans/Hispanics (57%, 56%, and 86%). Overall, 16 associations generalized across all three populations. For the associations that did not generalize, differences in effect sizes, allele frequencies, and linkage disequilibrium offer clues to the next generation of association studies for these traits.

VL - 7 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21738485?dopt=Abstract ER - TY - JOUR T1 - Associations between incident ischemic stroke events and stroke and cardiovascular disease-related genome-wide association studies single nucleotide polymorphisms in the Population Architecture Using Genomics and Epidemiology study. JF - Circ Cardiovasc Genet Y1 - 2012 A1 - Carty, Cara L A1 - Bůzková, Petra A1 - Fornage, Myriam A1 - Franceschini, Nora A1 - Cole, Shelley A1 - Heiss, Gerardo A1 - Hindorff, Lucia A A1 - Howard, Barbara V A1 - Mann, Sue A1 - Martin, Lisa W A1 - Zhang, Ying A1 - Matise, Tara C A1 - Prentice, Ross A1 - Reiner, Alexander P A1 - Kooperberg, Charles KW - Aged KW - Aged, 80 and over KW - Cardiovascular Diseases KW - Cholesterol, HDL KW - Cholesterol, LDL KW - European Continental Ancestry Group KW - Female KW - Genetics, Population KW - Genome-Wide Association Study KW - Genomics KW - Humans KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Risk Factors KW - Stroke KW - Triglycerides AB -

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

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

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

VL - 5 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/22403240?dopt=Abstract ER - TY - JOUR T1 - Insulin resistance, cystatin C, and mortality among older adults. JF - Diabetes Care Y1 - 2012 A1 - de Boer, Ian H A1 - Katz, Ronit A1 - Chonchol, Michel B A1 - Fried, Linda F A1 - Ix, Joachim H A1 - Kestenbaum, Bryan A1 - Mukamal, Kenneth J A1 - Peralta, Carmen A A1 - Siscovick, David S KW - Aged KW - Aged, 80 and over KW - Blood Glucose KW - Blood Pressure KW - C-Reactive Protein KW - Cardiovascular Diseases KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Cohort Studies KW - Cystatin C KW - Fasting KW - Female KW - Glomerular Filtration Rate KW - Humans KW - Insulin Resistance KW - Life Style KW - Male KW - Mortality KW - Predictive Value of Tests KW - Proportional Hazards Models KW - Renal Insufficiency KW - Risk Factors KW - Triglycerides KW - Waist Circumference AB -

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

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

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

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

VL - 35 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/22432118?dopt=Abstract ER - TY - JOUR T1 - Multi-ethnic analysis of lipid-associated loci: the NHLBI CARe project. JF - PLoS One Y1 - 2012 A1 - Musunuru, Kiran A1 - Romaine, Simon P R A1 - Lettre, Guillaume A1 - Wilson, James G A1 - Volcik, Kelly A A1 - Tsai, Michael Y A1 - Taylor, Herman A A1 - Schreiner, Pamela J A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Redline, Susan A1 - Psaty, Bruce M A1 - Papanicolaou, George J A1 - Ordovas, Jose M A1 - Liu, Kiang A1 - Krauss, Ronald M A1 - Glazer, Nicole L A1 - Gabriel, Stacey B A1 - Fornage, Myriam A1 - Cupples, L Adrienne A1 - Buxbaum, Sarah G A1 - Boerwinkle, Eric A1 - Ballantyne, Christie M A1 - Kathiresan, Sekar A1 - Rader, Daniel J KW - African Americans KW - Cholesterol, HDL KW - Cholesterol, LDL KW - European Continental Ancestry Group KW - Genetic Association Studies KW - Genetic Loci KW - Humans KW - Polymorphism, Single Nucleotide KW - Triglycerides AB -

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

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

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

VL - 7 IS - 5 U1 - http://www.ncbi.nlm.nih.gov/pubmed/22629316?dopt=Abstract ER - TY - JOUR T1 - Plasma free fatty acids and risk of atrial fibrillation (from the Cardiovascular Health Study). JF - Am J Cardiol Y1 - 2012 A1 - Khawaja, Owais A1 - Bartz, Traci M A1 - Ix, Joachim H A1 - Heckbert, Susan R A1 - Kizer, Jorge R A1 - Zieman, Susan J A1 - Mukamal, Kenneth J A1 - Tracy, Russell P A1 - Siscovick, David S A1 - Djoussé, Luc KW - Aged KW - Atrial Fibrillation KW - C-Reactive Protein KW - Diabetes Mellitus, Type 2 KW - Fatty Acids, Nonesterified KW - Female KW - Follow-Up Studies KW - Humans KW - Hypertension KW - Incidence KW - Lipoproteins, HDL KW - Lipoproteins, LDL KW - Male KW - Natriuretic Peptide, Brain KW - Obesity KW - Peptide Fragments KW - Prospective Studies KW - Sex Factors KW - Triglycerides KW - United States AB -

Atrial fibrillation (AF) is a highly prevalent cardiac arrhythmia in clinical practice, affecting approximately 2.3 million residents of the United States and 4.5 million residents of the European Union. It is unclear whether plasma free fatty acids (FFAs) influence the risk of AF in older adults. The aim of this study was to prospectively examine the association between plasma FFAs and incident AF in a prospective cohort of 4,175 men and women ≥65 years old from the Cardiovascular Health Study. Plasma concentrations of FFAs were measured 2 times during the 1992 to 1993 examination. Incident AF was ascertained based on study electrocardiographic and hospitalization records during follow-up. We used Cox regression to estimate relative risks of AF. Average age at baseline was 74.6 ± 5.1 years. During a mean follow-up of 10.0 years, 1,041 new cases of AF occurred. Crude incidence rates of AF were 23.7, 23.3, 23.9, and 29.7 cases/1,000 person-years across consecutive quartiles of plasma FFAs. There was a positive association between plasma FFAs and risk of AF. Multivariable adjusted hazard ratios (95% confidence intervals) for incident AF were 1.00 (referent), 1.02 (0.85 to 1.21), 1.05 (0.88 to 1.26), and 1.29 (1.08 to 1.55) from the lowest to highest quartiles of FFAs, respectively. In a secondary analysis restricted to the first 5 years of follow-up, this association persisted. In conclusion, our data show an increased risk of AF with higher plasma FFAs in community-dwelling older adults.

VL - 110 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/22503582?dopt=Abstract ER - TY - JOUR T1 - Common variants associated with plasma triglycerides and risk for coronary artery disease. JF - Nat Genet Y1 - 2013 A1 - Do, Ron A1 - Willer, Cristen J A1 - Schmidt, Ellen M A1 - Sengupta, Sebanti A1 - Gao, Chi A1 - Peloso, Gina M A1 - Gustafsson, Stefan A1 - Kanoni, Stavroula A1 - Ganna, Andrea A1 - Chen, Jin A1 - Buchkovich, Martin L A1 - Mora, Samia A1 - Beckmann, Jacques S A1 - Bragg-Gresham, Jennifer L A1 - Chang, Hsing-Yi A1 - Demirkan, Ayse A1 - Den Hertog, Heleen M A1 - Donnelly, Louise A A1 - Ehret, Georg B A1 - Esko, Tõnu A1 - Feitosa, Mary F A1 - Ferreira, Teresa A1 - Fischer, Krista A1 - Fontanillas, Pierre A1 - Fraser, Ross M A1 - Freitag, Daniel F A1 - Gurdasani, Deepti A1 - Heikkilä, Kauko A1 - Hyppönen, Elina A1 - Isaacs, Aaron A1 - Jackson, Anne U A1 - Johansson, Asa A1 - Johnson, Toby A1 - Kaakinen, Marika A1 - Kettunen, Johannes A1 - Kleber, Marcus E A1 - Li, Xiaohui A1 - Luan, Jian'an A1 - Lyytikäinen, Leo-Pekka A1 - Magnusson, Patrik K E A1 - Mangino, Massimo A1 - Mihailov, Evelin A1 - Montasser, May E A1 - Müller-Nurasyid, Martina A1 - Nolte, Ilja M A1 - O'Connell, Jeffrey R A1 - Palmer, Cameron D A1 - Perola, Markus A1 - Petersen, Ann-Kristin A1 - Sanna, Serena A1 - Saxena, Richa A1 - Service, Susan K A1 - Shah, Sonia A1 - Shungin, Dmitry A1 - Sidore, Carlo A1 - Song, Ci A1 - Strawbridge, Rona J A1 - Surakka, Ida A1 - Tanaka, Toshiko A1 - Teslovich, Tanya M A1 - Thorleifsson, Gudmar A1 - van den Herik, Evita G A1 - Voight, Benjamin F A1 - Volcik, Kelly A A1 - Waite, Lindsay L A1 - Wong, Andrew A1 - Wu, Ying A1 - Zhang, Weihua A1 - Absher, Devin A1 - Asiki, Gershim A1 - Barroso, Inês A1 - Been, Latonya F A1 - Bolton, Jennifer L A1 - Bonnycastle, Lori L A1 - Brambilla, Paolo A1 - Burnett, Mary S A1 - Cesana, Giancarlo A1 - Dimitriou, Maria A1 - Doney, Alex S F A1 - Döring, Angela A1 - Elliott, Paul A1 - Epstein, Stephen E A1 - Eyjolfsson, Gudmundur Ingi A1 - Gigante, Bruna A1 - Goodarzi, Mark O A1 - Grallert, Harald A1 - Gravito, Martha L A1 - Groves, Christopher J A1 - Hallmans, Göran A1 - Hartikainen, Anna-Liisa A1 - Hayward, Caroline A1 - Hernandez, Dena A1 - Hicks, Andrew A A1 - Holm, Hilma A1 - Hung, Yi-Jen A1 - Illig, Thomas A1 - Jones, Michelle R A1 - Kaleebu, Pontiano A1 - Kastelein, John J P A1 - Khaw, Kay-Tee A1 - Kim, Eric A1 - Klopp, Norman A1 - Komulainen, Pirjo A1 - Kumari, Meena A1 - Langenberg, Claudia A1 - Lehtimäki, Terho A1 - Lin, Shih-Yi A1 - Lindström, Jaana A1 - Loos, Ruth J F A1 - Mach, François A1 - McArdle, Wendy L A1 - Meisinger, Christa A1 - Mitchell, Braxton D A1 - Müller, Gabrielle A1 - Nagaraja, Ramaiah A1 - Narisu, Narisu A1 - Nieminen, Tuomo V M A1 - Nsubuga, Rebecca N A1 - Olafsson, Isleifur A1 - Ong, Ken K A1 - Palotie, Aarno A1 - Papamarkou, Theodore A1 - Pomilla, Cristina A1 - Pouta, Anneli A1 - Rader, Daniel J A1 - Reilly, Muredach P A1 - Ridker, Paul M A1 - Rivadeneira, Fernando A1 - Rudan, Igor A1 - Ruokonen, Aimo A1 - Samani, Nilesh A1 - Scharnagl, Hubert A1 - Seeley, Janet A1 - Silander, Kaisa A1 - Stančáková, Alena A1 - Stirrups, Kathleen A1 - Swift, Amy J A1 - Tiret, Laurence A1 - Uitterlinden, André G A1 - van Pelt, L Joost A1 - Vedantam, Sailaja A1 - Wainwright, Nicholas A1 - Wijmenga, Cisca A1 - Wild, Sarah H A1 - Willemsen, Gonneke A1 - Wilsgaard, Tom A1 - Wilson, James F A1 - Young, Elizabeth H A1 - Zhao, Jing Hua A1 - Adair, Linda S A1 - Arveiler, Dominique A1 - Assimes, Themistocles L A1 - Bandinelli, Stefania A1 - Bennett, Franklyn A1 - Bochud, Murielle A1 - Boehm, Bernhard O A1 - Boomsma, Dorret I A1 - Borecki, Ingrid B A1 - Bornstein, Stefan R A1 - Bovet, Pascal A1 - Burnier, Michel A1 - Campbell, Harry A1 - Chakravarti, Aravinda A1 - Chambers, John C A1 - Chen, Yii-Der Ida A1 - Collins, Francis S A1 - Cooper, Richard S A1 - Danesh, John A1 - Dedoussis, George A1 - de Faire, Ulf A1 - Feranil, Alan B A1 - Ferrieres, Jean A1 - Ferrucci, Luigi A1 - Freimer, Nelson B A1 - Gieger, Christian A1 - Groop, Leif C A1 - Gudnason, Vilmundur A1 - Gyllensten, Ulf A1 - Hamsten, Anders A1 - Harris, Tamara B A1 - Hingorani, Aroon A1 - Hirschhorn, Joel N A1 - Hofman, Albert A1 - Hovingh, G Kees A1 - Hsiung, Chao Agnes A1 - Humphries, Steve E A1 - Hunt, Steven C A1 - Hveem, Kristian A1 - Iribarren, Carlos A1 - Jarvelin, Marjo-Riitta A1 - Jula, Antti A1 - Kähönen, Mika A1 - Kaprio, Jaakko A1 - Kesäniemi, Antero A1 - Kivimaki, Mika A1 - Kooner, Jaspal S A1 - Koudstaal, Peter J A1 - Krauss, Ronald M A1 - Kuh, Diana A1 - Kuusisto, Johanna A1 - Kyvik, Kirsten O A1 - Laakso, Markku A1 - Lakka, Timo A A1 - Lind, Lars A1 - Lindgren, Cecilia M A1 - Martin, Nicholas G A1 - März, Winfried A1 - McCarthy, Mark I A1 - McKenzie, Colin A A1 - Meneton, Pierre A1 - Metspalu, Andres A1 - Moilanen, Leena A1 - Morris, Andrew D A1 - Munroe, Patricia B A1 - Njølstad, Inger A1 - Pedersen, Nancy L A1 - Power, Chris A1 - Pramstaller, Peter P A1 - Price, Jackie F A1 - Psaty, Bruce M A1 - Quertermous, Thomas A1 - Rauramaa, Rainer A1 - Saleheen, Danish A1 - Salomaa, Veikko A1 - Sanghera, Dharambir K A1 - Saramies, Jouko A1 - Schwarz, Peter E H A1 - Sheu, Wayne H-H A1 - Shuldiner, Alan R A1 - Siegbahn, Agneta A1 - Spector, Tim D A1 - Stefansson, Kari A1 - Strachan, David P A1 - Tayo, Bamidele O A1 - Tremoli, Elena A1 - Tuomilehto, Jaakko A1 - Uusitupa, Matti A1 - van Duijn, Cornelia M A1 - Vollenweider, Peter A1 - Wallentin, Lars A1 - Wareham, Nicholas J A1 - Whitfield, John B A1 - Wolffenbuttel, Bruce H R A1 - Altshuler, David A1 - Ordovas, Jose M A1 - Boerwinkle, Eric A1 - Palmer, Colin N A A1 - Thorsteinsdottir, Unnur A1 - Chasman, Daniel I A1 - Rotter, Jerome I A1 - Franks, Paul W A1 - Ripatti, Samuli A1 - Cupples, L Adrienne A1 - Sandhu, Manjinder S A1 - Rich, Stephen S A1 - Boehnke, Michael A1 - Deloukas, Panos A1 - Mohlke, Karen L A1 - Ingelsson, Erik A1 - Abecasis, Goncalo R A1 - Daly, Mark J A1 - Neale, Benjamin M A1 - Kathiresan, Sekar KW - Biological Transport KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Coronary Artery Disease KW - Humans KW - Polymorphism, Single Nucleotide KW - Risk Factors KW - Triglycerides AB -

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

VL - 45 IS - 11 ER - TY - JOUR T1 - Discovery and refinement of loci associated with lipid levels. JF - Nat Genet Y1 - 2013 A1 - Willer, Cristen J A1 - Schmidt, Ellen M A1 - Sengupta, Sebanti A1 - Peloso, Gina M A1 - Gustafsson, Stefan A1 - Kanoni, Stavroula A1 - Ganna, Andrea A1 - Chen, Jin A1 - Buchkovich, Martin L A1 - Mora, Samia A1 - Beckmann, Jacques S A1 - Bragg-Gresham, Jennifer L A1 - Chang, Hsing-Yi A1 - Demirkan, Ayse A1 - Den Hertog, Heleen M A1 - Do, Ron A1 - Donnelly, Louise A A1 - Ehret, Georg B A1 - Esko, Tõnu A1 - Feitosa, Mary F A1 - Ferreira, Teresa A1 - Fischer, Krista A1 - Fontanillas, Pierre A1 - Fraser, Ross M A1 - Freitag, Daniel F A1 - Gurdasani, Deepti A1 - Heikkilä, Kauko A1 - Hyppönen, Elina A1 - Isaacs, Aaron A1 - Jackson, Anne U A1 - Johansson, Asa A1 - Johnson, Toby A1 - Kaakinen, Marika A1 - Kettunen, Johannes A1 - Kleber, Marcus E A1 - Li, Xiaohui A1 - Luan, Jian'an A1 - Lyytikäinen, Leo-Pekka A1 - Magnusson, Patrik K E A1 - Mangino, Massimo A1 - Mihailov, Evelin A1 - Montasser, May E A1 - Müller-Nurasyid, Martina A1 - Nolte, Ilja M A1 - O'Connell, Jeffrey R A1 - Palmer, Cameron D A1 - Perola, Markus A1 - Petersen, Ann-Kristin A1 - Sanna, Serena A1 - Saxena, Richa A1 - Service, Susan K A1 - Shah, Sonia A1 - Shungin, Dmitry A1 - Sidore, Carlo A1 - Song, Ci A1 - Strawbridge, Rona J A1 - Surakka, Ida A1 - Tanaka, Toshiko A1 - Teslovich, Tanya M A1 - Thorleifsson, Gudmar A1 - van den Herik, Evita G A1 - Voight, Benjamin F A1 - Volcik, Kelly A A1 - Waite, Lindsay L A1 - Wong, Andrew A1 - Wu, Ying A1 - Zhang, Weihua A1 - Absher, Devin A1 - Asiki, Gershim A1 - Barroso, Inês A1 - Been, Latonya F A1 - Bolton, Jennifer L A1 - Bonnycastle, Lori L A1 - Brambilla, Paolo A1 - Burnett, Mary S A1 - Cesana, Giancarlo A1 - Dimitriou, Maria A1 - Doney, Alex S F A1 - Döring, Angela A1 - Elliott, Paul A1 - Epstein, Stephen E A1 - Ingi Eyjolfsson, Gudmundur A1 - Gigante, Bruna A1 - Goodarzi, Mark O A1 - Grallert, Harald A1 - Gravito, Martha L A1 - Groves, Christopher J A1 - Hallmans, Göran A1 - Hartikainen, Anna-Liisa A1 - Hayward, Caroline A1 - Hernandez, Dena A1 - Hicks, Andrew A A1 - Holm, Hilma A1 - Hung, Yi-Jen A1 - Illig, Thomas A1 - Jones, Michelle R A1 - Kaleebu, Pontiano A1 - Kastelein, John J P A1 - Khaw, Kay-Tee A1 - Kim, Eric A1 - Klopp, Norman A1 - Komulainen, Pirjo A1 - Kumari, Meena A1 - Langenberg, Claudia A1 - Lehtimäki, Terho A1 - Lin, Shih-Yi A1 - Lindström, Jaana A1 - Loos, Ruth J F A1 - Mach, François A1 - McArdle, Wendy L A1 - Meisinger, Christa A1 - Mitchell, Braxton D A1 - Müller, Gabrielle A1 - Nagaraja, Ramaiah A1 - Narisu, Narisu A1 - Nieminen, Tuomo V M A1 - Nsubuga, Rebecca N A1 - Olafsson, Isleifur A1 - Ong, Ken K A1 - Palotie, Aarno A1 - Papamarkou, Theodore A1 - Pomilla, Cristina A1 - Pouta, Anneli A1 - Rader, Daniel J A1 - Reilly, Muredach P A1 - Ridker, Paul M A1 - Rivadeneira, Fernando A1 - Rudan, Igor A1 - Ruokonen, Aimo A1 - Samani, Nilesh A1 - Scharnagl, Hubert A1 - Seeley, Janet A1 - Silander, Kaisa A1 - Stančáková, Alena A1 - Stirrups, Kathleen A1 - Swift, Amy J A1 - Tiret, Laurence A1 - Uitterlinden, André G A1 - van Pelt, L Joost A1 - Vedantam, Sailaja A1 - Wainwright, Nicholas A1 - Wijmenga, Cisca A1 - Wild, Sarah H A1 - Willemsen, Gonneke A1 - Wilsgaard, Tom A1 - Wilson, James F A1 - Young, Elizabeth H A1 - Zhao, Jing Hua A1 - Adair, Linda S A1 - Arveiler, Dominique A1 - Assimes, Themistocles L A1 - Bandinelli, Stefania A1 - Bennett, Franklyn A1 - Bochud, Murielle A1 - Boehm, Bernhard O A1 - Boomsma, Dorret I A1 - Borecki, Ingrid B A1 - Bornstein, Stefan R A1 - Bovet, Pascal A1 - Burnier, Michel A1 - Campbell, Harry A1 - Chakravarti, Aravinda A1 - Chambers, John C A1 - Chen, Yii-Der Ida A1 - Collins, Francis S A1 - Cooper, Richard S A1 - Danesh, John A1 - Dedoussis, George A1 - de Faire, Ulf A1 - Feranil, Alan B A1 - Ferrieres, Jean A1 - Ferrucci, Luigi A1 - Freimer, Nelson B A1 - Gieger, Christian A1 - Groop, Leif C A1 - Gudnason, Vilmundur A1 - Gyllensten, Ulf A1 - Hamsten, Anders A1 - Harris, Tamara B A1 - Hingorani, Aroon A1 - Hirschhorn, Joel N A1 - Hofman, Albert A1 - Hovingh, G Kees A1 - Hsiung, Chao Agnes A1 - Humphries, Steve E A1 - Hunt, Steven C A1 - Hveem, Kristian A1 - Iribarren, Carlos A1 - Jarvelin, Marjo-Riitta A1 - Jula, Antti A1 - Kähönen, Mika A1 - Kaprio, Jaakko A1 - Kesäniemi, Antero A1 - Kivimaki, Mika A1 - Kooner, Jaspal S A1 - Koudstaal, Peter J A1 - Krauss, Ronald M A1 - Kuh, Diana A1 - Kuusisto, Johanna A1 - Kyvik, Kirsten O A1 - Laakso, Markku A1 - Lakka, Timo A A1 - Lind, Lars A1 - Lindgren, Cecilia M A1 - Martin, Nicholas G A1 - März, Winfried A1 - McCarthy, Mark I A1 - McKenzie, Colin A A1 - Meneton, Pierre A1 - Metspalu, Andres A1 - Moilanen, Leena A1 - Morris, Andrew D A1 - Munroe, Patricia B A1 - Njølstad, Inger A1 - Pedersen, Nancy L A1 - Power, Chris A1 - Pramstaller, Peter P A1 - Price, Jackie F A1 - Psaty, Bruce M A1 - Quertermous, Thomas A1 - Rauramaa, Rainer A1 - Saleheen, Danish A1 - Salomaa, Veikko A1 - Sanghera, Dharambir K A1 - Saramies, Jouko A1 - Schwarz, Peter E H A1 - Sheu, Wayne H-H A1 - Shuldiner, Alan R A1 - Siegbahn, Agneta A1 - Spector, Tim D A1 - Stefansson, Kari A1 - Strachan, David P A1 - Tayo, Bamidele O A1 - Tremoli, Elena A1 - Tuomilehto, Jaakko A1 - Uusitupa, Matti A1 - van Duijn, Cornelia M A1 - Vollenweider, Peter A1 - Wallentin, Lars A1 - Wareham, Nicholas J A1 - Whitfield, John B A1 - Wolffenbuttel, Bruce H R A1 - Ordovas, Jose M A1 - Boerwinkle, Eric A1 - Palmer, Colin N A A1 - Thorsteinsdottir, Unnur A1 - Chasman, Daniel I A1 - Rotter, Jerome I A1 - Franks, Paul W A1 - Ripatti, Samuli A1 - Cupples, L Adrienne A1 - Sandhu, Manjinder S A1 - Rich, Stephen S A1 - Boehnke, Michael A1 - Deloukas, Panos A1 - Kathiresan, Sekar A1 - Mohlke, Karen L A1 - Ingelsson, Erik A1 - Abecasis, Goncalo R KW - African Continental Ancestry Group KW - Asian Continental Ancestry Group KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Coronary Artery Disease KW - European Continental Ancestry Group KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Genotype KW - Humans KW - Lipids KW - Triglycerides AB -

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

VL - 45 IS - 11 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24097068?dopt=Abstract ER - TY - JOUR T1 - No evidence of interaction between known lipid-associated genetic variants and smoking in the multi-ethnic PAGE population. JF - Hum Genet Y1 - 2013 A1 - Dumitrescu, Logan A1 - Carty, Cara L A1 - Franceschini, Nora A1 - Hindorff, Lucia A A1 - Cole, Shelley A A1 - Bůzková, Petra A1 - Schumacher, Fredrick R A1 - Eaton, Charles B A1 - Goodloe, Robert J A1 - Duggan, David J A1 - Haessler, Jeff A1 - Cochran, Barbara A1 - Henderson, Brian E A1 - Cheng, Iona A1 - Johnson, Karen C A1 - Carlson, Chris S A1 - Love, Shelly-Anne A1 - Brown-Gentry, Kristin A1 - Nato, Alejandro Q A1 - Quibrera, Miguel A1 - Shohet, Ralph V A1 - Ambite, Jose Luis A1 - Wilkens, Lynne R A1 - Le Marchand, Loïc A1 - Haiman, Christopher A A1 - Buyske, Steven A1 - Kooperberg, Charles A1 - North, Kari E A1 - Fornage, Myriam A1 - Crawford, Dana C KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Cohort Studies KW - Ethnic Groups KW - Female KW - Gene Frequency KW - Gene-Environment Interaction KW - Genetics, Population KW - Genome-Wide Association Study KW - Humans KW - Lipid Metabolism KW - Male KW - Polymorphism, Single Nucleotide KW - Prevalence KW - Smoking KW - Triglycerides KW - Young Adult AB -

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 × smoking interactions.

VL - 132 IS - 12 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24100633?dopt=Abstract ER - TY - JOUR T1 - Trans-ethnic fine-mapping of lipid loci identifies population-specific signals and allelic heterogeneity that increases the trait variance explained. JF - PLoS Genet Y1 - 2013 A1 - Wu, Ying A1 - Waite, Lindsay L A1 - Jackson, Anne U A1 - Sheu, Wayne H-H A1 - Buyske, Steven A1 - Absher, Devin A1 - Arnett, Donna K A1 - Boerwinkle, Eric A1 - Bonnycastle, Lori L A1 - Carty, Cara L A1 - Cheng, Iona A1 - Cochran, Barbara A1 - Croteau-Chonka, Damien C A1 - Dumitrescu, Logan A1 - Eaton, Charles B A1 - Franceschini, Nora A1 - Guo, Xiuqing A1 - Henderson, Brian E A1 - Hindorff, Lucia A A1 - Kim, Eric A1 - Kinnunen, Leena A1 - Komulainen, Pirjo A1 - Lee, Wen-Jane A1 - Le Marchand, Loïc A1 - Lin, Yi A1 - Lindström, Jaana A1 - Lingaas-Holmen, Oddgeir A1 - Mitchell, Sabrina L A1 - Narisu, Narisu A1 - Robinson, Jennifer G A1 - Schumacher, Fred A1 - Stančáková, Alena A1 - Sundvall, Jouko A1 - Sung, Yun-Ju A1 - Swift, Amy J A1 - Wang, Wen-Chang A1 - Wilkens, Lynne A1 - Wilsgaard, Tom A1 - Young, Alicia M A1 - Adair, Linda S A1 - Ballantyne, Christie M A1 - Bůzková, Petra A1 - Chakravarti, Aravinda A1 - Collins, Francis S A1 - Duggan, David A1 - Feranil, Alan B A1 - Ho, Low-Tone A1 - Hung, Yi-Jen A1 - Hunt, Steven C A1 - Hveem, Kristian A1 - Juang, Jyh-Ming J A1 - Kesäniemi, Antero Y A1 - Kuusisto, Johanna A1 - Laakso, Markku A1 - Lakka, Timo A A1 - Lee, I-Te A1 - Leppert, Mark F A1 - Matise, Tara C A1 - Moilanen, Leena A1 - Njølstad, Inger A1 - Peters, Ulrike A1 - Quertermous, Thomas A1 - Rauramaa, Rainer A1 - Rotter, Jerome I A1 - Saramies, Jouko A1 - Tuomilehto, Jaakko A1 - Uusitupa, Matti A1 - Wang, Tzung-Dau A1 - Boehnke, Michael A1 - Haiman, Christopher A A1 - Chen, Yii-der I A1 - Kooperberg, Charles A1 - Assimes, Themistocles L A1 - Crawford, Dana C A1 - Hsiung, Chao A A1 - North, Kari E A1 - Mohlke, Karen L KW - African Americans KW - Apolipoproteins A KW - Cholesterol, HDL KW - Cholesterol, LDL KW - European Continental Ancestry Group KW - Genome-Wide Association Study KW - Humans KW - Lipoproteins, HDL KW - Lipoproteins, LDL KW - Proprotein Convertases KW - Serine Endopeptidases KW - Triglycerides AB -

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

VL - 9 IS - 3 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23555291?dopt=Abstract ER - TY - JOUR T1 - Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks. JF - Am J Hum Genet Y1 - 2014 A1 - Peloso, Gina M A1 - Auer, Paul L A1 - Bis, Joshua C A1 - Voorman, Arend A1 - Morrison, Alanna C A1 - Stitziel, Nathan O A1 - Brody, Jennifer A A1 - Khetarpal, Sumeet A A1 - Crosby, Jacy R A1 - Fornage, Myriam A1 - Isaacs, Aaron A1 - Jakobsdottir, Johanna A1 - Feitosa, Mary F A1 - Davies, Gail A1 - Huffman, Jennifer E A1 - Manichaikul, Ani A1 - Davis, Brian A1 - Lohman, Kurt A1 - Joon, Aron Y A1 - Smith, Albert V A1 - Grove, Megan L A1 - Zanoni, Paolo A1 - Redon, Valeska A1 - Demissie, Serkalem A1 - Lawson, Kim A1 - Peters, Ulrike A1 - Carlson, Christopher A1 - Jackson, Rebecca D A1 - Ryckman, Kelli K A1 - Mackey, Rachel H A1 - Robinson, Jennifer G A1 - Siscovick, David S A1 - Schreiner, Pamela J A1 - Mychaleckyj, Josyf C A1 - Pankow, James S A1 - Hofman, Albert A1 - Uitterlinden, André G A1 - Harris, Tamara B A1 - Taylor, Kent D A1 - Stafford, Jeanette M A1 - Reynolds, Lindsay M A1 - Marioni, Riccardo E A1 - Dehghan, Abbas A1 - Franco, Oscar H A1 - Patel, Aniruddh P A1 - Lu, Yingchang A1 - Hindy, George A1 - Gottesman, Omri A1 - Bottinger, Erwin P A1 - Melander, Olle A1 - Orho-Melander, Marju A1 - Loos, Ruth J F A1 - Duga, Stefano A1 - Merlini, Piera Angelica A1 - Farrall, Martin A1 - Goel, Anuj A1 - Asselta, Rosanna A1 - Girelli, Domenico A1 - Martinelli, Nicola A1 - Shah, Svati H A1 - Kraus, William E A1 - Li, Mingyao A1 - Rader, Daniel J A1 - Reilly, Muredach P A1 - McPherson, Ruth A1 - Watkins, Hugh A1 - Ardissino, Diego A1 - Zhang, Qunyuan A1 - Wang, Judy A1 - Tsai, Michael Y A1 - Taylor, Herman A A1 - Correa, Adolfo A1 - Griswold, Michael E A1 - Lange, Leslie A A1 - Starr, John M A1 - Rudan, Igor A1 - Eiriksdottir, Gudny A1 - Launer, Lenore J A1 - Ordovas, Jose M A1 - Levy, Daniel A1 - Chen, Y-D Ida A1 - Reiner, Alexander P A1 - Hayward, Caroline A1 - Polasek, Ozren A1 - Deary, Ian J A1 - Borecki, Ingrid B A1 - Liu, Yongmei A1 - Gudnason, Vilmundur A1 - Wilson, James G A1 - van Duijn, Cornelia M A1 - Kooperberg, Charles A1 - Rich, Stephen S A1 - Psaty, Bruce M A1 - Rotter, Jerome I A1 - O'Donnell, Christopher J A1 - Rice, Kenneth A1 - Boerwinkle, Eric A1 - Kathiresan, Sekar A1 - Cupples, L Adrienne KW - 1-Alkyl-2-acetylglycerophosphocholine Esterase KW - Adult KW - African Continental Ancestry Group KW - Aged KW - Alleles KW - Animals KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Cohort Studies KW - Coronary Disease KW - European Continental Ancestry Group KW - Female KW - Gene Frequency KW - Genetic Association Studies KW - Genetic Code KW - Genetic Variation KW - Humans KW - Linear Models KW - Male KW - Mice KW - Mice, Inbred C57BL KW - Microtubule-Associated Proteins KW - Middle Aged KW - Phenotype KW - Sequence Analysis, DNA KW - Subtilisins KW - Triglycerides AB -

Low-frequency coding DNA sequence variants in the proprotein convertase subtilisin/kexin type 9 gene (PCSK9) lower plasma low-density lipoprotein cholesterol (LDL-C), protect against risk of coronary heart disease (CHD), and have prompted the development of a new class of therapeutics. It is uncertain whether the PCSK9 example represents a paradigm or an isolated exception. We used the "Exome Array" to genotype >200,000 low-frequency and rare coding sequence variants across the genome in 56,538 individuals (42,208 European ancestry [EA] and 14,330 African ancestry [AA]) and tested these variants for association with LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides. Although we did not identify new genes associated with LDL-C, we did identify four low-frequency (frequencies between 0.1% and 2%) variants (ANGPTL8 rs145464906 [c.361C>T; p.Gln121*], PAFAH1B2 rs186808413 [c.482C>T; p.Ser161Leu], COL18A1 rs114139997 [c.331G>A; p.Gly111Arg], and PCSK7 rs142953140 [c.1511G>A; p.Arg504His]) with large effects on HDL-C and/or triglycerides. None of these four variants was associated with risk for CHD, suggesting that examples of low-frequency coding variants with robust effects on both lipids and CHD will be limited.

VL - 94 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24507774?dopt=Abstract ER - TY - JOUR T1 - Loss-of-function mutations in APOC3, triglycerides, and coronary disease. JF - N Engl J Med Y1 - 2014 A1 - Crosby, Jacy A1 - Peloso, Gina M A1 - Auer, Paul L A1 - Crosslin, David R A1 - Stitziel, Nathan O A1 - Lange, Leslie A A1 - Lu, Yingchang A1 - Tang, Zheng-Zheng A1 - Zhang, He A1 - Hindy, George A1 - Masca, Nicholas A1 - Stirrups, Kathleen A1 - Kanoni, Stavroula A1 - Do, Ron A1 - Jun, Goo A1 - Hu, Youna A1 - Kang, Hyun Min A1 - Xue, Chenyi A1 - Goel, Anuj A1 - Farrall, Martin A1 - Duga, Stefano A1 - Merlini, Pier Angelica A1 - Asselta, Rosanna A1 - Girelli, Domenico A1 - Olivieri, Oliviero A1 - Martinelli, Nicola A1 - Yin, Wu A1 - Reilly, Dermot A1 - Speliotes, Elizabeth A1 - Fox, Caroline S A1 - Hveem, Kristian A1 - Holmen, Oddgeir L A1 - Nikpay, Majid A1 - Farlow, Deborah N A1 - Assimes, Themistocles L A1 - Franceschini, Nora A1 - Robinson, Jennifer A1 - North, Kari E A1 - Martin, Lisa W A1 - DePristo, Mark A1 - Gupta, Namrata A1 - Escher, Stefan A A1 - Jansson, Jan-Håkan A1 - Van Zuydam, Natalie A1 - Palmer, Colin N A A1 - Wareham, Nicholas A1 - Koch, Werner A1 - Meitinger, Thomas A1 - Peters, Annette A1 - Lieb, Wolfgang A1 - Erbel, Raimund A1 - König, Inke R A1 - Kruppa, Jochen A1 - Degenhardt, Franziska A1 - Gottesman, Omri A1 - Bottinger, Erwin P A1 - O'Donnell, Christopher J A1 - Psaty, Bruce M A1 - Ballantyne, Christie M A1 - Abecasis, Goncalo A1 - Ordovas, Jose M A1 - Melander, Olle A1 - Watkins, Hugh A1 - Orho-Melander, Marju A1 - Ardissino, Diego A1 - Loos, Ruth J F A1 - McPherson, Ruth A1 - Willer, Cristen J A1 - Erdmann, Jeanette A1 - Hall, Alistair S A1 - Samani, Nilesh J A1 - Deloukas, Panos A1 - Schunkert, Heribert A1 - Wilson, James G A1 - Kooperberg, Charles A1 - Rich, Stephen S A1 - Tracy, Russell P A1 - Lin, Dan-Yu A1 - Altshuler, David A1 - Gabriel, Stacey A1 - Nickerson, Deborah A A1 - Jarvik, Gail P A1 - Cupples, L Adrienne A1 - Reiner, Alex P A1 - Boerwinkle, Eric A1 - Kathiresan, Sekar KW - African Continental Ancestry Group KW - Apolipoprotein C-III KW - Coronary Disease KW - European Continental Ancestry Group KW - Exome KW - Genotype KW - Heterozygote KW - Humans KW - Liver KW - Mutation KW - Risk Factors KW - Sequence Analysis, DNA KW - Triglycerides AB -

BACKGROUND: Plasma triglyceride levels are heritable and are correlated with the risk of coronary heart disease. Sequencing of the protein-coding regions of the human genome (the exome) has the potential to identify rare mutations that have a large effect on phenotype.

METHODS: We sequenced the protein-coding regions of 18,666 genes in each of 3734 participants of European or African ancestry in the Exome Sequencing Project. We conducted tests to determine whether rare mutations in coding sequence, individually or in aggregate within a gene, were associated with plasma triglyceride levels. For mutations associated with triglyceride levels, we subsequently evaluated their association with the risk of coronary heart disease in 110,970 persons.

RESULTS: An aggregate of rare mutations in the gene encoding apolipoprotein C3 (APOC3) was associated with lower plasma triglyceride levels. Among the four mutations that drove this result, three were loss-of-function mutations: a nonsense mutation (R19X) and two splice-site mutations (IVS2+1G→A and IVS3+1G→T). The fourth was a missense mutation (A43T). Approximately 1 in 150 persons in the study was a heterozygous carrier of at least one of these four mutations. Triglyceride levels in the carriers were 39% lower than levels in noncarriers (P<1×10(-20)), and circulating levels of APOC3 in carriers were 46% lower than levels in noncarriers (P=8×10(-10)). The risk of coronary heart disease among 498 carriers of any rare APOC3 mutation was 40% lower than the risk among 110,472 noncarriers (odds ratio, 0.60; 95% confidence interval, 0.47 to 0.75; P=4×10(-6)).

CONCLUSIONS: Rare mutations that disrupt APOC3 function were associated with lower levels of plasma triglycerides and APOC3. Carriers of these mutations were found to have a reduced risk of coronary heart disease. (Funded by the National Heart, Lung, and Blood Institute and others.).

VL - 371 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24941081?dopt=Abstract ER - TY - JOUR T1 - Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction. JF - Nature Y1 - 2015 A1 - Do, Ron A1 - Stitziel, Nathan O A1 - Won, Hong-Hee A1 - Jørgensen, Anders Berg A1 - Duga, Stefano A1 - Angelica Merlini, Pier A1 - Kiezun, Adam A1 - Farrall, Martin A1 - Goel, Anuj A1 - Zuk, Or A1 - Guella, Illaria A1 - Asselta, Rosanna A1 - Lange, Leslie A A1 - Peloso, Gina M A1 - Auer, Paul L A1 - Girelli, Domenico A1 - Martinelli, Nicola A1 - Farlow, Deborah N A1 - DePristo, Mark A A1 - Roberts, Robert A1 - Stewart, Alexander F R A1 - Saleheen, Danish A1 - Danesh, John A1 - Epstein, Stephen E A1 - Sivapalaratnam, Suthesh A1 - Hovingh, G Kees A1 - Kastelein, John J A1 - Samani, Nilesh J A1 - Schunkert, Heribert A1 - Erdmann, Jeanette A1 - Shah, Svati H A1 - Kraus, William E A1 - Davies, Robert A1 - Nikpay, Majid A1 - Johansen, Christopher T A1 - Wang, Jian A1 - Hegele, Robert A A1 - Hechter, Eliana A1 - März, Winfried A1 - Kleber, Marcus E A1 - Huang, Jie A1 - Johnson, Andrew D A1 - Li, Mingyao A1 - Burke, Greg L A1 - Gross, Myron A1 - Liu, Yongmei A1 - Assimes, Themistocles L A1 - Heiss, Gerardo A1 - Lange, Ethan M A1 - Folsom, Aaron R A1 - Taylor, Herman A A1 - Olivieri, Oliviero A1 - Hamsten, Anders A1 - Clarke, Robert A1 - Reilly, Dermot F A1 - Yin, Wu A1 - Rivas, Manuel A A1 - Donnelly, Peter A1 - Rossouw, Jacques E A1 - Psaty, Bruce M A1 - Herrington, David M A1 - Wilson, James G A1 - Rich, Stephen S A1 - Bamshad, Michael J A1 - Tracy, Russell P A1 - Cupples, L Adrienne A1 - Rader, Daniel J A1 - Reilly, Muredach P A1 - Spertus, John A A1 - Cresci, Sharon A1 - Hartiala, Jaana A1 - Tang, W H Wilson A1 - Hazen, Stanley L A1 - Allayee, Hooman A1 - Reiner, Alex P A1 - Carlson, Christopher S A1 - Kooperberg, Charles A1 - Jackson, Rebecca D A1 - Boerwinkle, Eric A1 - Lander, Eric S A1 - Schwartz, Stephen M A1 - Siscovick, David S A1 - McPherson, Ruth A1 - Tybjaerg-Hansen, Anne A1 - Abecasis, Goncalo R A1 - Watkins, Hugh A1 - Nickerson, Deborah A A1 - Ardissino, Diego A1 - Sunyaev, Shamil R A1 - O'Donnell, Christopher J A1 - Altshuler, David A1 - Gabriel, Stacey A1 - Kathiresan, Sekar KW - Age Factors KW - Age of Onset KW - Alleles KW - Apolipoproteins A KW - Case-Control Studies KW - Cholesterol, LDL KW - Coronary Artery Disease KW - Exome KW - Female KW - Genetic Predisposition to Disease KW - Genetics, Population KW - Heterozygote KW - Humans KW - Male KW - Middle Aged KW - Mutation KW - Myocardial Infarction KW - National Heart, Lung, and Blood Institute (U.S.) KW - Receptors, LDL KW - Triglycerides KW - United States AB -

Myocardial infarction (MI), a leading cause of death around the world, displays a complex pattern of inheritance. When MI occurs early in life, genetic inheritance is a major component to risk. Previously, rare mutations in low-density lipoprotein (LDL) genes have been shown to contribute to MI risk in individual families, whereas common variants at more than 45 loci have been associated with MI risk in the population. Here we evaluate how rare mutations contribute to early-onset MI risk in the population. We sequenced the protein-coding regions of 9,793 genomes from patients with MI at an early age (≤50 years in males and ≤60 years in females) along with MI-free controls. We identified two genes in which rare coding-sequence mutations were more frequent in MI cases versus controls at exome-wide significance. At low-density lipoprotein receptor (LDLR), carriers of rare non-synonymous mutations were at 4.2-fold increased risk for MI; carriers of null alleles at LDLR were at even higher risk (13-fold difference). Approximately 2% of early MI cases harbour a rare, damaging mutation in LDLR; this estimate is similar to one made more than 40 years ago using an analysis of total cholesterol. Among controls, about 1 in 217 carried an LDLR coding-sequence mutation and had plasma LDL cholesterol > 190 mg dl(-1). At apolipoprotein A-V (APOA5), carriers of rare non-synonymous mutations were at 2.2-fold increased risk for MI. When compared with non-carriers, LDLR mutation carriers had higher plasma LDL cholesterol, whereas APOA5 mutation carriers had higher plasma triglycerides. Recent evidence has connected MI risk with coding-sequence mutations at two genes functionally related to APOA5, namely lipoprotein lipase and apolipoprotein C-III (refs 18, 19). Combined, these observations suggest that, as well as LDL cholesterol, disordered metabolism of triglyceride-rich lipoproteins contributes to MI risk.

VL - 518 IS - 7537 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25487149?dopt=Abstract ER - TY - JOUR T1 - Mendelian randomization of blood lipids for coronary heart disease. JF - Eur Heart J Y1 - 2015 A1 - Holmes, Michael V A1 - Asselbergs, Folkert W A1 - Palmer, Tom M A1 - Drenos, Fotios A1 - Lanktree, Matthew B A1 - Nelson, Christopher P A1 - Dale, Caroline E A1 - Padmanabhan, Sandosh A1 - Finan, Chris A1 - Swerdlow, Daniel I A1 - Tragante, Vinicius A1 - van Iperen, Erik P A A1 - Sivapalaratnam, Suthesh A1 - Shah, Sonia A1 - Elbers, Clara C A1 - Shah, Tina A1 - Engmann, Jorgen A1 - Giambartolomei, Claudia A1 - White, Jon A1 - Zabaneh, Delilah A1 - Sofat, Reecha A1 - McLachlan, Stela A1 - Doevendans, Pieter A A1 - Balmforth, Anthony J A1 - Hall, Alistair S A1 - North, Kari E A1 - Almoguera, Berta A1 - Hoogeveen, Ron C A1 - Cushman, Mary A1 - Fornage, Myriam A1 - Patel, Sanjay R A1 - Redline, Susan A1 - Siscovick, David S A1 - Tsai, Michael Y A1 - Karczewski, Konrad J A1 - Hofker, Marten H A1 - Verschuren, W Monique A1 - Bots, Michiel L A1 - van der Schouw, Yvonne T A1 - Melander, Olle A1 - Dominiczak, Anna F A1 - Morris, Richard A1 - Ben-Shlomo, Yoav A1 - Price, Jackie A1 - Kumari, Meena A1 - Baumert, Jens A1 - Peters, Annette A1 - Thorand, Barbara A1 - Koenig, Wolfgang A1 - Gaunt, Tom R A1 - Humphries, Steve E A1 - Clarke, Robert A1 - Watkins, Hugh A1 - Farrall, Martin A1 - Wilson, James G A1 - Rich, Stephen S A1 - de Bakker, Paul I W A1 - Lange, Leslie A A1 - Davey Smith, George A1 - Reiner, Alex P A1 - Talmud, Philippa J A1 - Kivimaki, Mika A1 - Lawlor, Debbie A A1 - Dudbridge, Frank A1 - Samani, Nilesh J A1 - Keating, Brendan J A1 - Hingorani, Aroon D A1 - Casas, Juan P KW - Case-Control Studies KW - Cholesterol, HDL KW - Coronary Artery Disease KW - Female KW - Gene Frequency KW - Genotype KW - Genotyping Techniques KW - Humans KW - Male KW - Mendelian Randomization Analysis KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Risk Assessment KW - Triglycerides AB -

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

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

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

VL - 36 IS - 9 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24474739?dopt=Abstract ER - TY - JOUR T1 - Plasma phospholipid very-long-chain saturated fatty acids and incident diabetes in older adults: the Cardiovascular Health Study. JF - Am J Clin Nutr Y1 - 2015 A1 - Lemaitre, Rozenn N A1 - Fretts, Amanda M A1 - Sitlani, Colleen M A1 - Biggs, Mary L A1 - Mukamal, Kenneth A1 - King, Irena B A1 - Song, Xiaoling A1 - Djoussé, Luc A1 - Siscovick, David S A1 - McKnight, Barbara A1 - Sotoodehnia, Nona A1 - Kizer, Jorge R A1 - Mozaffarian, Dariush KW - Aged KW - Aged, 80 and over KW - Biomarkers KW - Cross-Sectional Studies KW - Diabetes Mellitus KW - Diet KW - Eicosanoic Acids KW - Fatty Acids KW - Fatty Acids, Nonesterified KW - Female KW - Follow-Up Studies KW - Humans KW - Incidence KW - Male KW - Observational Studies as Topic KW - Palmitic Acid KW - Phospholipids KW - Prospective Studies KW - Risk Factors KW - Triglycerides AB -

BACKGROUND: Circulating saturated fatty acids (SFAs) are integrated biomarkers of diet and metabolism that may influence the pathogenesis of diabetes. In epidemiologic studies, circulating levels of palmitic acid (16:0) are associated with diabetes; however, very-long-chain SFAs (VLSFAs), with 20 or more carbons, differ from palmitic acid in their biological activities, and little is known of the association of circulating VLSFA with diabetes.

OBJECTIVE: By using data from the Cardiovascular Health Study, we examined the associations of plasma phospholipid VLSFA levels measured at baseline with subsequent incident diabetes.

DESIGN: A total of 3179 older adults, with a mean age of 75 y at study baseline (1992-1993), were followed through 2011. We used multiple proportional hazards regression to examine the associations of arachidic acid (20:0), behenic acid (22:0), and lignoceric acid (24:0) with diabetes.

RESULTS: Baseline levels of each VLSFA were cross-sectionally associated with lower triglyceride levels and lower circulating palmitic acid. We identified 284 incident diabetes cases during follow-up. Compared with the lowest quartile, levels of arachidic acid in the highest quartile of the fatty acid distribution were associated with a 47% lower risk of diabetes (95% CI: 23%, 63%; P-trend: <0.001), after adjustment for demographics, lifestyle factors, and clinical conditions. In analogous comparisons, levels of behenic and lignoceric acid were similarly associated with 33% (95% CI: 6%, 53%; P-trend: 0.02) and 37% (95% CI: 11%, 55%; P-trend: 0.01) lower diabetes risk, respectively. Adjustment for triglycerides and palmitic acid attenuated the associations toward the null, and only the association of arachidic acid remained statistically significant (32% lower risk for fourth vs. first quartile; P-trend: 0.04).

CONCLUSIONS: These results suggest that circulating VLSFAs are associated with a lower risk of diabetes, and these associations may be mediated by lower triglycerides and palmitic acid. The study highlights the need to distinguish the effects of different SFAs and to explore determinants of circulating VLSFAs. This trial was registered at clinicaltrials.gov as NCT00005133.

VL - 101 IS - 5 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25787996?dopt=Abstract ER - TY - JOUR T1 - Interaction of methylation-related genetic variants with circulating fatty acids on plasma lipids: a meta-analysis of 7 studies and methylation analysis of 3 studies in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium. JF - Am J Clin Nutr Y1 - 2016 A1 - Ma, Yiyi A1 - Follis, Jack L A1 - Smith, Caren E A1 - Tanaka, Toshiko A1 - Manichaikul, Ani W A1 - Chu, Audrey Y A1 - Samieri, Cecilia A1 - Zhou, Xia A1 - Guan, Weihua A1 - Wang, Lu A1 - Biggs, Mary L A1 - Chen, Yii-der I A1 - Hernandez, Dena G A1 - Borecki, Ingrid A1 - Chasman, Daniel I A1 - Rich, Stephen S A1 - Ferrucci, Luigi A1 - Irvin, Marguerite Ryan A1 - Aslibekyan, Stella A1 - Zhi, Degui A1 - Tiwari, Hemant K A1 - Claas, Steven A A1 - Sha, Jin A1 - Kabagambe, Edmond K A1 - Lai, Chao-Qiang A1 - Parnell, Laurence D A1 - Lee, Yu-Chi A1 - Amouyel, Philippe A1 - Lambert, Jean-Charles A1 - Psaty, Bruce M A1 - King, Irena B A1 - Mozaffarian, Dariush A1 - McKnight, Barbara A1 - Bandinelli, Stefania A1 - Tsai, Michael Y A1 - Ridker, Paul M A1 - Ding, Jingzhong A1 - Mstat, Kurt Lohmant A1 - Liu, Yongmei A1 - Sotoodehnia, Nona A1 - Barberger-Gateau, Pascale A1 - Steffen, Lyn M A1 - Siscovick, David S A1 - Absher, Devin A1 - Arnett, Donna K A1 - Ordovas, Jose M A1 - Lemaitre, Rozenn N KW - Apolipoproteins E KW - ATP Binding Cassette Transporter 1 KW - Cholesterol, HDL KW - Cohort Studies KW - Diet KW - DNA Methylation KW - Eicosapentaenoic Acid KW - Epigenesis, Genetic KW - Fatty Acids KW - Gene Expression Regulation KW - Humans KW - Lipids KW - Polymorphism, Single Nucleotide KW - Promoter Regions, Genetic KW - Triglycerides AB -

BACKGROUND: DNA methylation is influenced by diet and single nucleotide polymorphisms (SNPs), and methylation modulates gene expression.

OBJECTIVE: We aimed to explore whether the gene-by-diet interactions on blood lipids act through DNA methylation.

DESIGN: We selected 7 SNPs on the basis of predicted relations in fatty acids, methylation, and lipids. We conducted a meta-analysis and a methylation and mediation analysis with the use of data from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium and the ENCODE (Encyclopedia of DNA Elements) consortium.

RESULTS: On the basis of the meta-analysis of 7 cohorts in the CHARGE consortium, higher plasma HDL cholesterol was associated with fewer C alleles at ATP-binding cassette subfamily A member 1 (ABCA1) rs2246293 (β = -0.6 mg/dL, P = 0.015) and higher circulating eicosapentaenoic acid (EPA) (β = 3.87 mg/dL, P = 5.62 × 10(21)). The difference in HDL cholesterol associated with higher circulating EPA was dependent on genotypes at rs2246293, and it was greater for each additional C allele (β = 1.69 mg/dL, P = 0.006). In the GOLDN (Genetics of Lipid Lowering Drugs and Diet Network) study, higher ABCA1 promoter cg14019050 methylation was associated with more C alleles at rs2246293 (β = 8.84%, P = 3.51 × 10(18)) and lower circulating EPA (β = -1.46%, P = 0.009), and the mean difference in methylation of cg14019050 that was associated with higher EPA was smaller with each additional C allele of rs2246293 (β = -2.83%, P = 0.007). Higher ABCA1 cg14019050 methylation was correlated with lower ABCA1 expression (r = -0.61, P = 0.009) in the ENCODE consortium and lower plasma HDL cholesterol in the GOLDN study (r = -0.12, P = 0.0002). An additional mediation analysis was meta-analyzed across the GOLDN study, Cardiovascular Health Study, and the Multi-Ethnic Study of Atherosclerosis. Compared with the model without the adjustment of cg14019050 methylation, the model with such adjustment provided smaller estimates of the mean plasma HDL cholesterol concentration in association with both the rs2246293 C allele and EPA and a smaller difference by rs2246293 genotypes in the EPA-associated HDL cholesterol. However, the differences between 2 nested models were NS (P > 0.05).

CONCLUSION: We obtained little evidence that the gene-by-fatty acid interactions on blood lipids act through DNA methylation.

VL - 103 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26791180?dopt=Abstract ER - TY - JOUR T1 - Rooted in risk: genetic predisposition for low-density lipoprotein cholesterol level associates with diminished low-density lipoprotein cholesterol response to statin treatment. JF - Pharmacogenomics Y1 - 2016 A1 - Smit, Roelof Aj A1 - Postmus, Iris A1 - Trompet, Stella A1 - Barnes, Michael R A1 - Warren, Helen A1 - Arsenault, Benoit J A1 - Chasman, Daniel I A1 - Cupples, L Adrienne A1 - Hitman, Graham A A1 - Krauss, Ronald M A1 - Li, Xiaohui A1 - Psaty, Bruce M A1 - Stein, Charles M A1 - Rotter, Jerome I A1 - Jukema, J Wouter KW - Cholesterol, LDL KW - Genetic Predisposition to Disease KW - Humans KW - Hydroxymethylglutaryl-CoA Reductase Inhibitors KW - Pharmacogenetics KW - Polymorphism, Single Nucleotide KW - Triglycerides AB -

AIMS: To utilize previously reported lead SNPs for low-density lipoprotein cholesterol (LDL-c) levels to find additional loci of importance to statin response, and examine whether genetic predisposition to LDL-c levels associates with differential statin response.

METHODS: We investigated effects on statin response of 59 LDL-c SNPs, by combining summary level statistics from the Global Lipids Genetics and Genomic Investigation of Statin Therapy consortia.

RESULTS: Lead SNPs for APOE, SORT1 and NPC1L1 were associated with a decreased LDL-c response to statin treatment, as was overall genetic predisposition for increased LDL-c levels as quantified with 59 SNPs, with a 5.4% smaller statin response per standard deviation increase in genetically raised LDL-c levels.

CONCLUSION: Genetic predisposition for increased LDL-c level may decrease efficacy of statin therapy.

VL - 17 IS - 15 ER - TY - JOUR T1 - Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. JF - Nat Commun Y1 - 2019 A1 - Kilpeläinen, Tuomas O A1 - Bentley, Amy R A1 - Noordam, Raymond A1 - Sung, Yun Ju A1 - Schwander, Karen A1 - Winkler, Thomas W A1 - Jakupović, Hermina A1 - Chasman, Daniel I A1 - Manning, Alisa A1 - Ntalla, Ioanna A1 - Aschard, Hugues A1 - Brown, Michael R A1 - de Las Fuentes, Lisa A1 - Franceschini, Nora A1 - Guo, Xiuqing A1 - Vojinovic, Dina A1 - Aslibekyan, Stella A1 - Feitosa, Mary F A1 - Kho, Minjung A1 - Musani, Solomon K A1 - Richard, Melissa A1 - Wang, Heming A1 - Wang, Zhe A1 - Bartz, Traci M A1 - Bielak, Lawrence F A1 - Campbell, Archie A1 - Dorajoo, Rajkumar A1 - Fisher, Virginia A1 - Hartwig, Fernando P A1 - Horimoto, Andrea R V R A1 - Li, Changwei A1 - Lohman, Kurt K A1 - Marten, Jonathan A1 - Sim, Xueling A1 - Smith, Albert V A1 - Tajuddin, Salman M A1 - Alver, Maris A1 - Amini, Marzyeh A1 - Boissel, Mathilde A1 - Chai, Jin Fang A1 - Chen, Xu A1 - Divers, Jasmin A1 - Evangelou, Evangelos A1 - Gao, Chuan A1 - Graff, Mariaelisa A1 - Harris, Sarah E A1 - He, Meian A1 - Hsu, Fang-Chi A1 - Jackson, Anne U A1 - Zhao, Jing Hua A1 - Kraja, Aldi T A1 - Kuhnel, Brigitte A1 - Laguzzi, Federica A1 - Lyytikäinen, Leo-Pekka A1 - Nolte, Ilja M A1 - Rauramaa, Rainer A1 - Riaz, Muhammad A1 - Robino, Antonietta A1 - Rueedi, Rico A1 - Stringham, Heather M A1 - Takeuchi, Fumihiko A1 - van der Most, Peter J A1 - Varga, Tibor V A1 - Verweij, Niek A1 - Ware, Erin B A1 - Wen, Wanqing A1 - Li, Xiaoyin A1 - Yanek, Lisa R A1 - Amin, Najaf A1 - Arnett, Donna K A1 - Boerwinkle, Eric A1 - Brumat, Marco A1 - Cade, Brian A1 - Canouil, Mickaël A1 - Chen, Yii-Der Ida A1 - Concas, Maria Pina A1 - Connell, John A1 - de Mutsert, Renée A1 - de Silva, H Janaka A1 - de Vries, Paul S A1 - Demirkan, Ayse A1 - Ding, Jingzhong A1 - Eaton, Charles B A1 - Faul, Jessica D A1 - Friedlander, Yechiel A1 - Gabriel, Kelley P A1 - Ghanbari, Mohsen A1 - Giulianini, Franco A1 - Gu, Chi Charles A1 - Gu, Dongfeng A1 - Harris, Tamara B A1 - He, Jiang A1 - Heikkinen, Sami A1 - Heng, Chew-Kiat A1 - Hunt, Steven C A1 - Ikram, M Arfan A1 - Jonas, Jost B A1 - Koh, Woon-Puay A1 - Komulainen, Pirjo A1 - Krieger, Jose E A1 - Kritchevsky, Stephen B A1 - Kutalik, Zoltán A1 - Kuusisto, Johanna A1 - Langefeld, Carl D A1 - Langenberg, Claudia A1 - Launer, Lenore J A1 - Leander, Karin A1 - Lemaitre, Rozenn N A1 - Lewis, Cora E A1 - Liang, Jingjing A1 - Liu, Jianjun A1 - Mägi, Reedik A1 - Manichaikul, Ani A1 - Meitinger, Thomas A1 - Metspalu, Andres A1 - Milaneschi, Yuri A1 - Mohlke, Karen L A1 - Mosley, Thomas H A1 - Murray, Alison D A1 - Nalls, Mike A A1 - Nang, Ei-Ei Khaing A1 - Nelson, Christopher P A1 - Nona, Sotoodehnia A1 - Norris, Jill M A1 - Nwuba, Chiamaka Vivian A1 - O'Connell, Jeff A1 - Palmer, Nicholette D A1 - Papanicolau, George J A1 - Pazoki, Raha A1 - Pedersen, Nancy L A1 - Peters, Annette A1 - Peyser, Patricia A A1 - Polasek, Ozren A1 - Porteous, David J A1 - Poveda, Alaitz A1 - Raitakari, Olli T A1 - Rich, Stephen S A1 - Risch, Neil A1 - Robinson, Jennifer G A1 - Rose, Lynda M A1 - Rudan, Igor A1 - Schreiner, Pamela J A1 - Scott, Robert A A1 - Sidney, Stephen S A1 - Sims, Mario A1 - Smith, Jennifer A A1 - Snieder, Harold A1 - Sofer, Tamar A1 - Starr, John M A1 - Sternfeld, Barbara A1 - Strauch, Konstantin A1 - Tang, Hua A1 - Taylor, Kent D A1 - Tsai, Michael Y A1 - Tuomilehto, Jaakko A1 - Uitterlinden, André G A1 - van der Ende, M Yldau A1 - van Heemst, Diana A1 - Voortman, Trudy A1 - Waldenberger, Melanie A1 - Wennberg, Patrik A1 - Wilson, Gregory A1 - Xiang, Yong-Bing A1 - Yao, Jie A1 - Yu, Caizheng A1 - Yuan, Jian-Min A1 - Zhao, Wei A1 - Zonderman, Alan B A1 - Becker, Diane M A1 - Boehnke, Michael A1 - Bowden, Donald W A1 - de Faire, Ulf A1 - Deary, Ian J A1 - Elliott, Paul A1 - Esko, Tõnu A1 - Freedman, Barry I A1 - Froguel, Philippe A1 - Gasparini, Paolo A1 - Gieger, Christian A1 - Kato, Norihiro A1 - Laakso, Markku A1 - Lakka, Timo A A1 - Lehtimäki, Terho A1 - Magnusson, Patrik K E A1 - Oldehinkel, Albertine J A1 - Penninx, Brenda W J H A1 - Samani, Nilesh J A1 - Shu, Xiao-Ou A1 - van der Harst, Pim A1 - van Vliet-Ostaptchouk, Jana V A1 - Vollenweider, Peter A1 - Wagenknecht, Lynne E A1 - Wang, Ya X A1 - Wareham, Nicholas J A1 - Weir, David R A1 - Wu, Tangchun A1 - Zheng, Wei A1 - Zhu, Xiaofeng A1 - Evans, Michele K A1 - Franks, Paul W A1 - Gudnason, Vilmundur A1 - Hayward, Caroline A1 - Horta, Bernardo L A1 - Kelly, Tanika N A1 - Liu, Yongmei A1 - North, Kari E A1 - Pereira, Alexandre C A1 - Ridker, Paul M A1 - Tai, E Shyong A1 - van Dam, Rob M A1 - Fox, Ervin R A1 - Kardia, Sharon L R A1 - Liu, Ching-Ti A1 - Mook-Kanamori, Dennis O A1 - Province, Michael A A1 - Redline, Susan A1 - van Duijn, Cornelia M A1 - Rotter, Jerome I A1 - Kooperberg, Charles B A1 - Gauderman, W James A1 - Psaty, Bruce M A1 - Rice, Kenneth A1 - Munroe, Patricia B A1 - Fornage, Myriam A1 - Cupples, L Adrienne A1 - Rotimi, Charles N A1 - Morrison, Alanna C A1 - Rao, Dabeeru C A1 - Loos, Ruth J F KW - Adolescent KW - Adult KW - African Continental Ancestry Group KW - Aged KW - Aged, 80 and over KW - Asian Continental Ancestry Group KW - Brazil KW - Calcium-Binding Proteins KW - Cholesterol KW - Cholesterol, HDL KW - Cholesterol, LDL KW - European Continental Ancestry Group KW - Exercise KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Genotype KW - Hispanic Americans KW - Humans KW - LIM-Homeodomain Proteins KW - Lipid Metabolism KW - Lipids KW - Male KW - Membrane Proteins KW - Microtubule-Associated Proteins KW - Middle Aged KW - Muscle Proteins KW - Nerve Tissue Proteins KW - Transcription Factors KW - Triglycerides KW - Young Adult AB -

Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.

VL - 10 IS - 1 ER - TY - JOUR T1 - Genome Wide Association Studies of Variant-by-Thiazide Interaction on Lipids Identifies a Novel Low-Density Lipoprotein Cholesterol Locus. JF - Circ Res Y1 - 2022 A1 - Downie, Carolina G A1 - Highland, Heather M A1 - Lee, Moa P A1 - Raffield, Laura M A1 - Preuss, Michael A1 - Whitsel, Eric A A1 - Psaty, Bruce M A1 - Sitlani, Colleen M A1 - Graff, Mariaelisa A1 - Avery, Christy L KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Diuretics KW - Genome-Wide Association Study KW - Sodium Chloride Symporter Inhibitors KW - Thiazides KW - Triglycerides VL - 131 IS - 3 ER -