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1. Rare variant contribution to the heritability of coronary artery disease.

Author

Rocheleau G, Clarke SL, Auguste G, Hasbani NR, Morrison AC, Heath AS, Bielak LF, Iyer KR, Young EP, Stitziel NO, Jun G, Laurie C, Broome JG, Khan AT, Arnett DK, Becker LC, Bis JC, Boerwinkle E, Bowden DW, Carson AP, Ellinor PT, Fornage M, Franceschini N, Freedman BI, Heard-Costa NL, Hou L, Chen YI, Kenny EE, Kooperberg C, Kral BG, Loos RJF, Lutz SM, Manson JE, Martin LW, Mitchell BD, Nassir R, Palmer ND, Post WS, Preuss MH, Psaty BM, Raffield LM, Regan EA, Rich SS, Smith JA, Taylor KD, Yanek LR, Young KA, Hilliard AT, Tcheandjieu C, Peyser PA, Vasan RS, Rotter JI, Miller CL, Assimes TL, de Vries PS, and Do R

Subjects
Humans, Male, Female, Gene Frequency, Genome-Wide Association Study, White People genetics, Case-Control Studies, Whole Genome Sequencing, Genetic Variation, Middle Aged, Coronary Artery Disease genetics, Genetic Predisposition to Disease, Linkage Disequilibrium, Polymorphism, Single Nucleotide
Abstract

Whole genome sequences (WGS) enable discovery of rare variants which may contribute to missing heritability of coronary artery disease (CAD). To measure their contribution, we apply the GREML-LDMS-I approach to WGS of 4949 cases and 17,494 controls of European ancestry from the NHLBI TOPMed program. We estimate CAD heritability at 34.3% assuming a prevalence of 8.2%. Ultra-rare (minor allele frequency ≤ 0.1%) variants with low linkage disequilibrium (LD) score contribute ~50% of the heritability. We also investigate CAD heritability enrichment using a diverse set of functional annotations: i) constraint; ii) predicted protein-altering impact; iii) cis-regulatory elements from a cell-specific chromatin atlas of the human coronary; and iv) annotation principal components representing a wide range of functional processes. We observe marked enrichment of CAD heritability for most functional annotations. These results reveal the predominant role of ultra-rare variants in low LD on the heritability of CAD. Moreover, they highlight several functional processes including cell type-specific regulatory mechanisms as key drivers of CAD genetic risk., (© 2024. The Author(s).)

Published
2024
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2. Rare genetic variants explain missing heritability in smoking.

Author

Jang SK, Evans L, Fialkowski A, Arnett DK, Ashley-Koch AE, Barnes KC, Becker DM, Bis JC, Blangero J, Bleecker ER, Boorgula MP, Bowden DW, Brody JA, Cade BE, Jenkins BWC, Carson AP, Chavan S, Cupples LA, Custer B, Damrauer SM, David SP, de Andrade M, Dinardo CL, Fingerlin TE, Fornage M, Freedman BI, Garrett ME, Gharib SA, Glahn DC, Haessler J, Heckbert SR, Hokanson JE, Hou L, Hwang SJ, Hyman MC, Judy R, Justice AE, Kaplan RC, Kardia SLR, Kelly S, Kim W, Kooperberg C, Levy D, Lloyd-Jones DM, Loos RJF, Manichaikul AW, Gladwin MT, Martin LW, Nouraie M, Melander O, Meyers DA, Montgomery CG, North KE, Oelsner EC, Palmer ND, Payton M, Peljto AL, Peyser PA, Preuss M, Psaty BM, Qiao D, Rader DJ, Rafaels N, Redline S, Reed RM, Reiner AP, Rich SS, Rotter JI, Schwartz DA, Shadyab AH, Silverman EK, Smith NL, Smith JG, Smith AV, Smith JA, Tang W, Taylor KD, Telen MJ, Vasan RS, Gordeuk VR, Wang Z, Wiggins KL, Yanek LR, Yang IV, Young KA, Young KL, Zhang Y, Liu DJ, Keller MC, and Vrieze S

Subjects
Gene Frequency, Phenotype, Smoking genetics, Genome-Wide Association Study, Polymorphism, Single Nucleotide genetics
Abstract

Common genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this 'missing heritability'. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74% of it attributable to rare variants with minor allele frequencies between 0.01% and 1%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60% to 100% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2022
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3. Whole-Genome Sequencing Association Analyses of Stroke and Its Subtypes in Ancestrally Diverse Populations From Trans-Omics for Precision Medicine Project.

Author

Hu Y, Haessler JW, Manansala R, Wiggins KL, Moscati A, Beiser A, Heard-Costa NL, Sarnowski C, Raffield LM, Chung J, Marini S, Anderson CD, Rosand J, Xu H, Sun X, Kelly TN, Wong Q, Lange LA, Rotter JI, Correa A, Vasan RS, Seshadri S, Rich SS, Do R, Loos RJF, Longstreth WT Jr, Bis JC, Psaty BM, Tirschwell DL, Assimes TL, Silver B, Liu S, Jackson R, Wassertheil-Smoller S, Mitchell BD, Fornage M, Auer PL, Reiner AP, and Kooperberg C

Subjects
Aged, Aged, 80 and over, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Whole Genome Sequencing, Genetic Loci, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Precision Medicine, Racial Groups genetics, Stroke genetics
Abstract

Background and Purpose: Stroke is the leading cause of death and long-term disability worldwide. Previous genome-wide association studies identified 51 loci associated with stroke (mostly ischemic) and its subtypes among predominantly European populations. Using whole-genome sequencing in ancestrally diverse populations from the Trans-Omics for Precision Medicine (TOPMed) Program, we aimed to identify novel variants, especially low-frequency or ancestry-specific variants, associated with all stroke, ischemic stroke and its subtypes (large artery, cardioembolic, and small vessel), and hemorrhagic stroke and its subtypes (intracerebral and subarachnoid)., Methods: Whole-genome sequencing data were available for 6833 stroke cases and 27 116 controls, including 22 315 European, 7877 Black, 2616 Hispanic/Latino, 850 Asian, 54 Native American, and 237 other ancestry participants. In TOPMed, we performed single variant association analysis examining 40 million common variants and aggregated association analysis focusing on rare variants. We also combined TOPMed European populations with over 28 000 additional European participants from the UK BioBank genome-wide array data through meta-analysis., Results: In the single variant association analysis in TOPMed, we identified one novel locus 13q33 for large artery at whole-genome-wide significance ( P <5.00×10 -9 ) and 4 novel loci at genome-wide significance ( P <5.00×10 -8 ), all of which need confirmation in independent studies. Lead variants in all 5 loci are low-frequency but are more common in non-European populations. An aggregation of synonymous rare variants within the gene C6orf26 demonstrated suggestive evidence of association for hemorrhagic stroke ( P <3.11×10 -6 ). By meta-analyzing European ancestry samples in TOPMed and UK BioBank, we replicated several previously reported stroke loci including PITX2 , HDAC9 , ZFHX3 , and LRCH1 ., Conclusions: We represent the first association analysis for stroke and its subtypes using whole-genome sequencing data from ancestrally diverse populations. While our findings suggest the potential benefits of combining whole-genome sequencing data with populations of diverse genetic backgrounds to identify possible low-frequency or ancestry-specific variants, they also highlight the need to increase genome coverage and sample sizes.

Published
2022
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4. Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program.

Author

Mikhaylova AV, McHugh CP, Polfus LM, Raffield LM, Boorgula MP, Blackwell TW, Brody JA, Broome J, Chami N, Chen MH, Conomos MP, Cox C, Curran JE, Daya M, Ekunwe L, Glahn DC, Heard-Costa N, Highland HM, Hobbs BD, Ilboudo Y, Jain D, Lange LA, Miller-Fleming TW, Min N, Moon JY, Preuss MH, Rosen J, Ryan K, Smith AV, Sun Q, Surendran P, de Vries PS, Walter K, Wang Z, Wheeler M, Yanek LR, Zhong X, Abecasis GR, Almasy L, Barnes KC, Beaty TH, Becker LC, Blangero J, Boerwinkle E, Butterworth AS, Chavan S, Cho MH, Choquet H, Correa A, Cox N, DeMeo DL, Faraday N, Fornage M, Gerszten RE, Hou L, Johnson AD, Jorgenson E, Kaplan R, Kooperberg C, Kundu K, Laurie CA, Lettre G, Lewis JP, Li B, Li Y, Lloyd-Jones DM, Loos RJF, Manichaikul A, Meyers DA, Mitchell BD, Morrison AC, Ngo D, Nickerson DA, Nongmaithem S, North KE, O'Connell JR, Ortega VE, Pankratz N, Perry JA, Psaty BM, Rich SS, Soranzo N, Rotter JI, Silverman EK, Smith NL, Tang H, Tracy RP, Thornton TA, Vasan RS, Zein J, Mathias RA, Reiner AP, and Auer PL

Subjects
Asthma genetics, Asthma metabolism, Asthma pathology, Dermatitis, Atopic genetics, Dermatitis, Atopic metabolism, Dermatitis, Atopic pathology, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, National Heart, Lung, and Blood Institute (U.S.), Phenotype, Prognosis, Proteome analysis, Proteome metabolism, Pulmonary Disease, Chronic Obstructive genetics, Pulmonary Disease, Chronic Obstructive metabolism, Pulmonary Disease, Chronic Obstructive pathology, United Kingdom epidemiology, United States epidemiology, Whole Genome Sequencing, Asthma epidemiology, Biomarkers metabolism, Dermatitis, Atopic epidemiology, Leukocytes pathology, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive epidemiology, Quantitative Trait Loci
Abstract

Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2021 American Society of Human Genetics. All rights reserved.)

Published
2021
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5. Association of FADS1/2 Locus Variants and Polyunsaturated Fatty Acids With Aortic Stenosis.

Author

Chen HY, Cairns BJ, Small AM, Burr HA, Ambikkumar A, Martinsson A, Thériault S, Munter HM, Steffen B, Zhang R, Levinson RT, Shaffer CM, Rong J, Sonestedt E, Dufresne L, Ljungberg J, Näslund U, Johansson B, Ranatunga DK, Whitmer RA, Budoff MJ, Nguyen A, Vasan RS, Larson MG, Harris WS, Damrauer SM, Stark KD, Boekholdt SM, Wareham NJ, Pibarot P, Arsenault BJ, Mathieu P, Gudnason V, O'Donnell CJ, Rotter JI, Tsai MY, Post WS, Clarke R, Söderberg S, Bossé Y, Wells QS, Smith JG, Rader DJ, Lathrop M, Engert JC, and Thanassoulis G

Subjects
Aged, Alleles, Aortic Valve Stenosis metabolism, Case-Control Studies, Delta-5 Fatty Acid Desaturase, Fatty Acid Desaturases metabolism, Fatty Acids, Unsaturated metabolism, Female, Genome-Wide Association Study, Humans, Male, Aortic Valve Stenosis genetics, DNA genetics, Fatty Acid Desaturases genetics, Fatty Acids, Unsaturated genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide
Abstract

Importance: Aortic stenosis (AS) has no approved medical treatment. Identifying etiological pathways for AS could identify pharmacological targets., Objective: To identify novel genetic loci and pathways associated with AS., Design, Setting, and Participants: This genome-wide association study used a case-control design to evaluate 44 703 participants (3469 cases of AS) of self-reported European ancestry from the Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort (from January 1, 1996, to December 31, 2015). Replication was performed in 7 other cohorts totaling 256 926 participants (5926 cases of AS), with additional analyses performed in 6942 participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Follow-up biomarker analyses with aortic valve calcium (AVC) were also performed. Data were analyzed from May 1, 2017, to December 5, 2019., Exposures: Genetic variants (615 643 variants) and polyunsaturated fatty acids (ω-6 and ω-3) measured in blood samples., Main Outcomes and Measures: Aortic stenosis and aortic valve replacement defined by electronic health records, surgical records, or echocardiography and the presence of AVC measured by computed tomography., Results: The mean (SD) age of the 44 703 GERA participants was 69.7 (8.4) years, and 22 019 (49.3%) were men. The rs174547 variant at the FADS1/2 locus was associated with AS (odds ratio [OR] per C allele, 0.88; 95% CI, 0.83-0.93; P = 3.0 × 10-6), with genome-wide significance after meta-analysis with 7 replication cohorts totaling 312 118 individuals (9395 cases of AS) (OR, 0.91; 95% CI, 0.88-0.94; P = 2.5 × 10-8). A consistent association with AVC was also observed (OR, 0.91; 95% CI, 0.83-0.99; P = .03). A higher ratio of arachidonic acid to linoleic acid was associated with AVC (OR per SD of the natural logarithm, 1.19; 95% CI, 1.09-1.30; P = 6.6 × 10-5). In mendelian randomization, increased FADS1 liver expression and arachidonic acid were associated with AS (OR per unit of normalized expression, 1.31 [95% CI, 1.17-1.48; P = 7.4 × 10-6]; OR per 5-percentage point increase in arachidonic acid for AVC, 1.23 [95% CI, 1.01-1.49; P = .04]; OR per 5-percentage point increase in arachidonic acid for AS, 1.08 [95% CI, 1.04-1.13; P = 4.1 × 10-4])., Conclusions and Relevance: Variation at the FADS1/2 locus was associated with AS and AVC. Findings from biomarker measurements and mendelian randomization appear to link ω-6 fatty acid biosynthesis to AS, which may represent a therapeutic target.

Published
2020
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6. Genome-wide meta-analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans.

Author

Do AN, Zhao W, Baldridge AS, Raffield LM, Wiggins KL, Shah SJ, Aslibekyan S, Tiwari HK, Limdi N, Zhi D, Sitlani CM, Taylor KD, Psaty BM, Sotoodehnia N, Brody JA, Rasmussen-Torvik LJ, Lloyd-Jones D, Lange LA, Wilson JG, Smith JA, Kardia SLR, Mosley TH, Vasan RS, Arnett DK, and Irvin MR

Subjects
Black or African American genetics, Black or African American statistics & numerical data, Angiotensin-Converting Enzyme Inhibitors therapeutic use, Calcium Channel Blockers therapeutic use, Humans, Observational Studies as Topic, Sodium Chloride Symporter Inhibitors therapeutic use, Ventricular Dysfunction, Left drug therapy, Ventricular Dysfunction, Left epidemiology, Antihypertensive Agents therapeutic use, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Ventricular Dysfunction, Left genetics
Abstract

Background: Left ventricular (LV) hypertrophy affects up to 43% of African Americans (AAs). Antihypertensive treatment reduces LV mass (LVM). However, interindividual variation in LV traits in response to antihypertensive treatments exists. We hypothesized that genetic variants may modify the association of antihypertensive treatment class with LV traits measured by echocardiography., Methods: We evaluated the main effects of the three most common antihypertensive treatments for AAs as well as the single nucleotide polymorphism (SNP)-by-drug interaction on LVM and relative wall thickness (RWT) in 2,068 participants across five community-based cohorts. Treatments included thiazide diuretics (TDs), angiotensin converting enzyme inhibitors (ACE-Is), and dihydropyridine calcium channel blockers (dCCBs) and were compared in a pairwise manner. We performed fixed effects inverse variance weighted meta-analyses of main effects of drugs and 2.5 million SNP-by-drug interaction estimates., Results: We observed that dCCBs versus TDs were associated with higher LVM after adjusting for covariates (p = 0.001). We report three SNPs at a single locus on chromosome 20 that modified the association between RWT and treatment when comparing dCCBs to ACE-Is with consistent effects across cohorts (smallest p = 4.7 × 10 -8 , minor allele frequency range 0.09-0.12). This locus has been linked to LV hypertrophy in a previous study. A marginally significant locus in BICD1 (rs326641) was validated in an external population., Conclusions: Our study identified one locus having genome-wide significant SNP-by-drug interaction effect on RWT among dCCB users in comparison to ACE-I users. Upon additional validation in future studies, our findings can enhance the precision of medical approaches in hypertension treatment., (© 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc.)

Published
2019
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7. Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.

Author

Zekavat SM, Ruotsalainen S, Handsaker RE, Alver M, Bloom J, Poterba T, Seed C, Ernst J, Chaffin M, Engreitz J, Peloso GM, Manichaikul A, Yang C, Ryan KA, Fu M, Johnson WC, Tsai M, Budoff M, Vasan RS, Cupples LA, Rotter JI, Rich SS, Post W, Mitchell BD, Correa A, Metspalu A, Wilson JG, Salomaa V, Kellis M, Daly MJ, Neale BM, McCarroll S, Surakka I, Esko T, Ganna A, Ripatti S, Kathiresan S, and Natarajan P

Subjects
Adaptor Proteins, Vesicular Transport blood, Adaptor Proteins, Vesicular Transport genetics, Black People, Cardiovascular Diseases blood, Cardiovascular Diseases diagnosis, Cardiovascular Diseases ethnology, Cholesterol, LDL blood, Gene Expression, Genome-Wide Association Study, Humans, Lipoprotein(a) blood, Quantitative Trait Loci, Risk Factors, White People, Whole Genome Sequencing, Black or African American, Cardiovascular Diseases genetics, DNA Copy Number Variations, Genome, Human, Lipoprotein(a) genetics, Polymorphism, Single Nucleotide
Abstract

Lipoprotein(a), Lp(a), is a modified low-density lipoprotein particle that contains apolipoprotein(a), encoded by LPA, and is a highly heritable, causal risk factor for cardiovascular diseases that varies in concentrations across ancestries. Here, we use deep-coverage whole genome sequencing in 8392 individuals of European and African ancestry to discover and interpret both single-nucleotide variants and copy number (CN) variation associated with Lp(a). We observe that genetic determinants between Europeans and Africans have several unique determinants. The common variant rs12740374 associated with Lp(a) cholesterol is an eQTL for SORT1 and independent of LDL cholesterol. Observed associations of aggregates of rare non-coding variants are largely explained by LPA structural variation, namely the LPA kringle IV 2 (KIV2)-CN. Finally, we find that LPA risk genotypes confer greater relative risk for incident atherosclerotic cardiovascular diseases compared to directly measured Lp(a), and are significantly associated with measures of subclinical atherosclerosis in African Americans.

Published
2018
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8. Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function.

Author

Wild PS, Felix JF, Schillert A, Teumer A, Chen MH, Leening MJG, Völker U, Großmann V, Brody JA, Irvin MR, Shah SJ, Pramana S, Lieb W, Schmidt R, Stanton AV, Malzahn D, Smith AV, Sundström J, Minelli C, Ruggiero D, Lyytikäinen LP, Tiller D, Smith JG, Monnereau C, Di Tullio MR, Musani SK, Morrison AC, Pers TH, Morley M, Kleber ME, Aragam J, Benjamin EJ, Bis JC, Bisping E, Broeckel U, Cheng S, Deckers JW, Del Greco M F, Edelmann F, Fornage M, Franke L, Friedrich N, Harris TB, Hofer E, Hofman A, Huang J, Hughes AD, Kähönen M, Investigators K, Kruppa J, Lackner KJ, Lannfelt L, Laskowski R, Launer LJ, Leosdottir M, Lin H, Lindgren CM, Loley C, MacRae CA, Mascalzoni D, Mayet J, Medenwald D, Morris AP, Müller C, Müller-Nurasyid M, Nappo S, Nilsson PM, Nuding S, Nutile T, Peters A, Pfeufer A, Pietzner D, Pramstaller PP, Raitakari OT, Rice KM, Rivadeneira F, Rotter JI, Ruohonen ST, Sacco RL, Samdarshi TE, Schmidt H, Sharp ASP, Shields DC, Sorice R, Sotoodehnia N, Stricker BH, Surendran P, Thom S, Töglhofer AM, Uitterlinden AG, Wachter R, Völzke H, Ziegler A, Münzel T, März W, Cappola TP, Hirschhorn JN, Mitchell GF, Smith NL, Fox ER, Dueker ND, Jaddoe VWV, Melander O, Russ M, Lehtimäki T, Ciullo M, Hicks AA, Lind L, Gudnason V, Pieske B, Barron AJ, Zweiker R, Schunkert H, Ingelsson E, Liu K, Arnett DK, Psaty BM, Blankenberg S, Larson MG, Felix SB, Franco OH, Zeller T, Vasan RS, and Dörr M

Subjects
Female, Humans, Male, Genetic Loci, Genome-Wide Association Study, Heart Diseases genetics, Heart Diseases metabolism, Heart Diseases physiopathology, Myocardium, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable
Abstract

Background: Understanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function., Methods: A GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function., Results: The discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6 cohorts (n = 16,308), respectively. Besides 5 previously reported loci, the combined meta-analysis identified 10 additional genome-wide significant SNPs: rs12541595 near MTSS1 and rs10774625 in ATXN2 for LV end-diastolic internal dimension; rs806322 near KCNRG, rs4765663 in CACNA1C, rs6702619 near PALMD, rs7127129 in TMEM16A, rs11207426 near FGGY, rs17608766 in GOSR2, and rs17696696 in CFDP1 for aortic root diameter; and rs12440869 in IQCH for Doppler transmitral A-wave peak velocity. Findings were in part validated in other cohorts and in GWAS of related disease traits. The genetic loci showed associations with putative signaling pathways, and with gene expression in whole blood, monocytes, and myocardial tissue., Conclusion: The additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac structure and warrant follow-up in future functional studies., Funding: For detailed information per study, see Acknowledgments.

Published
2017
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9. Meta-analysis of genome-wide association studies of HDL cholesterol response to statins.

Author

Postmus I, Warren HR, Trompet S, Arsenault BJ, Avery CL, Bis JC, Chasman DI, de Keyser CE, Deshmukh HA, Evans DS, Feng Q, Li X, Smit RA, Smith AV, Sun F, Taylor KD, Arnold AM, Barnes MR, Barratt BJ, Betteridge J, Boekholdt SM, Boerwinkle E, Buckley BM, Chen YI, de Craen AJ, Cummings SR, Denny JC, Dubé MP, Durrington PN, Eiriksdottir G, Ford I, Guo X, Harris TB, Heckbert SR, Hofman A, Hovingh GK, Kastelein JJ, Launer LJ, Liu CT, Liu Y, Lumley T, McKeigue PM, Munroe PB, Neil A, Nickerson DA, Nyberg F, O'Brien E, O'Donnell CJ, Post W, Poulter N, Vasan RS, Rice K, Rich SS, Rivadeneira F, Sattar N, Sever P, Shaw-Hawkins S, Shields DC, Slagboom PE, Smith NL, Smith JD, Sotoodehnia N, Stanton A, Stott DJ, Stricker BH, Stürmer T, Uitterlinden AG, Wei WQ, Westendorp RG, Whitsel EA, Wiggins KL, Wilke RA, Ballantyne CM, Colhoun HM, Cupples LA, Franco OH, Gudnason V, Hitman G, Palmer CN, Psaty BM, Ridker PM, Stafford JM, Stein CM, Tardif JC, Caulfield MJ, Jukema JW, Rotter JI, and Krauss RM

Subjects
Cholesterol, HDL drug effects, Cholesterol, HDL metabolism, Female, Genome-Wide Association Study, Humans, Male, Treatment Outcome, White People genetics, Cholesterol Ester Transfer Proteins genetics, Cholesterol, HDL genetics, Hydroxymethylglutaryl-CoA Reductase Inhibitors therapeutic use, Pharmacogenomic Variants, Polymorphism, Single Nucleotide
Abstract

Background: In addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation., Methods and Results: We performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p<1×10 -4 from the 16 769 statin-treated participants in the first analysis stage were followed up in an independent group of 10 951 statin-treated individuals, providing a total sample size of 27 720 individuals. The only associations of genome-wide significance (p<5×10 -8 ) were between minor alleles at the CETP locus and greater HDL-C response to statin treatment., Conclusions: Based on results from this study that included a relatively large sample size, we suggest that CETP may be the only detectable locus with common genetic variants that influence HDL-C response to statins substantially in individuals of European descent. Although CETP is known to be associated with HDL-C, we provide evidence that this pharmacogenetic effect is independent of its association with baseline HDL-C levels., Competing Interests: Competing financial interests: BMP serves on the Data and Safety Monitoring Board of a clinical trial funded by the device manufacturer (Zoll LifeCor) and serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. NP and AS received funding from Pfizer for the extended follow-up of the ASCOT UK participants. DIC and PMR received research support for independent genetic analysis in JUPITER from AstraZeneca. FN and BJB have employment, stock and stock options in AstraZeneca, a for-profit company engaged in the discovery, development, manufacture and marketing of proprietary therapeutics such as rosuvastatin, but do not consider that this creates any conflict of interest with the subject-matter of this publication. RMK serves on the Merck Global Atherosclerosis Advisory Board. The remaining authors declare no competing financial interests., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)

Published
2016
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10. Genome-wide association reveals that common genetic variation in the kallikrein-kinin system is associated with serum L-arginine levels.

Author

Zhang W, Jernerén F, Lehne BC, Chen MH, Luben RN, Johnston C, Elshorbagy A, Eppinga RN, Scott WR, Adeyeye E, Scott J, Böger RH, Khaw KT, van der Harst P, Wareham NJ, Vasan RS, Chambers JC, Refsum H, and Kooner JS

Subjects
Adult, Aged, Cardiovascular Diseases genetics, Female, Humans, Kallikreins genetics, Male, Middle Aged, Risk Factors, Arginine blood, Genome-Wide Association Study, Kallikrein-Kinin System genetics, Polymorphism, Single Nucleotide
Abstract

L-arginine is the essential precursor of nitric oxide, and is involved in multiple key physiological processes, including vascular and immune function. The genetic regulation of blood L-arginine levels is largely unknown. We performed a genome-wide association study (GWAS) to identify genetic factors determining serum L-arginine levels, amongst 901 Europeans and 1,394 Indian Asians. We show that common genetic variations at the KLKB1 and F12 loci are strongly associated with serum L-arginine levels. The G allele of single nucleotide polymorphism (SNP) rs71640036 (T/G) in KLKB1 is associated with lower serum L-arginine concentrations (10 µmol/l per allele copy, p=1×10 -24 ), while allele T of rs2545801 (T/C) near the F12 gene is associated with lower serum L-arginine levels (7 µmol/l per allele copy, p=7×10 -12 ). Together these two loci explain 7 % of the total variance in serum L-arginine concentrations. The associations at both loci were replicated in independent cohorts with plasma L-arginine measurements (p<0.004). The two sentinel SNPs are in nearly complete LD with the nonsynonymous SNP rs3733402 at KLKB1 and the 5'-UTR SNP rs1801020 at F12, respectively. SNPs at both loci are associated with blood pressure. Our findings provide new insight into the genetic regulation of L-arginine and its potential relationship with cardiovascular risk.

Published
2016
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11. Association of the IGF1 gene with fasting insulin levels.

Author

Willems SM, Cornes BK, Brody JA, Morrison AC, Lipovich L, Dauriz M, Chen Y, Liu CT, Rybin DV, Gibbs RA, Muzny D, Pankow JS, Psaty BM, Boerwinkle E, Rotter JI, Siscovick DS, Vasan RS, Kaplan RC, Isaacs A, Dupuis J, van Duijn CM, and Meigs JB

Subjects
Adult, Aged, Female, Humans, Insulin blood, Male, Middle Aged, Fasting blood, Insulin genetics, Insulin-Like Growth Factor I genetics, Polymorphism, Single Nucleotide
Abstract

Insulin-like growth factor 1 (IGF-I) has been associated with insulin resistance. Genome-wide association studies (GWASs) of fasting insulin (FI) identified single-nucleotide variants (SNVs) near the IGF1 gene, raising two hypotheses: (1) these associations are mediated by IGF-I levels and (2) these noncoding variants either tag other functional variants in the region or are directly functional. In our study, analyses including 5141 individuals from population-based cohorts suggest that FI associations near IGF1 are not mediated by IGF-I. Analyses of targeted sequencing data in 3539 individuals reveal a large number of novel rare variants at the IGF1 locus and show a FI association with a subset of rare nonsynonymous variants (PSKAT=5.7 × 10(-4)). Conditional analyses suggest that this association is partly explained by the GWAS signal and the presence of a residual independent rare variant effect (Pconditional=0.019). Annotation using ENCODE data suggests that the GWAS variants may have a direct functional role in insulin biology. In conclusion, our study provides insight into variation present at the IGF1 locus and into the genetic architecture underlying FI levels, suggesting that FI associations of SNVs near IGF1 are not mediated by IGF-I and suggesting a role for both rare nonsynonymous and common functional variants in insulin biology.

Published
2016
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12. Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium.

Author

Bis JC, Sitlani C, Irvin R, Avery CL, Smith AV, Sun F, Evans DS, Musani SK, Li X, Trompet S, Krijthe BP, Harris TB, Quibrera PM, Brody JA, Demissie S, Davis BR, Wiggins KL, Tranah GJ, Lange LA, Sotoodehnia N, Stott DJ, Franco OH, Launer LJ, Stürmer T, Taylor KD, Cupples LA, Eckfeldt JH, Smith NL, Liu Y, Wilson JG, Heckbert SR, Buckley BM, Ikram MA, Boerwinkle E, Chen YD, de Craen AJ, Uitterlinden AG, Rotter JI, Ford I, Hofman A, Sattar N, Slagboom PE, Westendorp RG, Gudnason V, Vasan RS, Lumley T, Cummings SR, Taylor HA Jr, Post W, Jukema JW, Stricker BH, Whitsel EA, Psaty BM, and Arnett D

Subjects
Aged, Antihypertensive Agents therapeutic use, Cardiovascular Diseases etiology, Female, Genome-Wide Association Study, Humans, Hypertension genetics, Incidence, Male, Middle Aged, Treatment Outcome, Black or African American genetics, Antihypertensive Agents pharmacology, Cardiovascular Diseases epidemiology, Hypertension drug therapy, Polymorphism, Single Nucleotide, White People genetics
Abstract

Background: Hypertension is a major risk factor for a spectrum of cardiovascular diseases (CVD), including myocardial infarction, sudden death, and stroke. In the US, over 65 million people have high blood pressure and a large proportion of these individuals are prescribed antihypertensive medications. Although large long-term clinical trials conducted in the last several decades have identified a number of effective antihypertensive treatments that reduce the risk of future clinical complications, responses to therapy and protection from cardiovascular events vary among individuals., Methods: Using a genome-wide association study among 21,267 participants with pharmaceutically treated hypertension, we explored the hypothesis that genetic variants might influence or modify the effectiveness of common antihypertensive therapies on the risk of major cardiovascular outcomes. The classes of drug treatments included angiotensin-converting enzyme inhibitors, beta-blockers, calcium channel blockers, and diuretics. In the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, each study performed array-based genome-wide genotyping, imputed to HapMap Phase II reference panels, and used additive genetic models in proportional hazards or logistic regression models to evaluate drug-gene interactions for each of four therapeutic drug classes. We used meta-analysis to combine study-specific interaction estimates for approximately 2 million single nucleotide polymorphisms (SNPs) in a discovery analysis among 15,375 European Ancestry participants (3,527 CVD cases) with targeted follow-up in a case-only study of 1,751 European Ancestry GenHAT participants as well as among 4,141 African-Americans (1,267 CVD cases)., Results: Although drug-SNP interactions were biologically plausible, exposures and outcomes were well measured, and power was sufficient to detect modest interactions, we did not identify any statistically significant interactions from the four antihypertensive therapy meta-analyses (Pinteraction > 5.0×10-8). Similarly, findings were null for meta-analyses restricted to 66 SNPs with significant main effects on coronary artery disease or blood pressure from large published genome-wide association studies (Pinteraction ≥ 0.01). Our results suggest that there are no major pharmacogenetic influences of common SNPs on the relationship between blood pressure medications and the risk of incident CVD.

Published
2015
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13. Genetic variants primarily associated with type 2 diabetes are related to coronary artery disease risk.

Author

Jansen H, Loley C, Lieb W, Pencina MJ, Nelson CP, Kathiresan S, Peloso GM, Voight BF, Reilly MP, Assimes TL, Boerwinkle E, Hengstenberg C, Laaksonen R, McPherson R, Roberts R, Thorsteinsdottir U, Peters A, Gieger C, Rawal R, Thompson JR, König IR, Vasan RS, Erdmann J, Samani NJ, and Schunkert H

Subjects
Case-Control Studies, Comorbidity, Coronary Artery Disease diagnosis, Coronary Artery Disease epidemiology, Databases, Genetic, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 epidemiology, Diabetic Angiopathies diagnosis, Diabetic Angiopathies epidemiology, Europe epidemiology, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, North America epidemiology, Odds Ratio, Phenotype, Risk Assessment, Risk Factors, Coronary Artery Disease genetics, Diabetes Mellitus, Type 2 genetics, Diabetic Angiopathies genetics, Polymorphism, Single Nucleotide
Abstract

Background: The mechanisms underlying the association between diabetes and coronary artery disease (CAD) risk are unclear. We aimed to assess this association by studying genetic variants that have been shown to associate with type 2 diabetes (T2DM). If the association between diabetes and CAD is causal, we expected to observe an association of these variants with CAD as well., Methods and Results: We studied all genetic variants currently known to be associated with T2DM at a genome-wide significant level (p < 5*10(-8)) in CARDIoGRAM, a genome-wide data-set of CAD including 22,233 CAD cases and 64,762 controls. Out of the 44 published T2DM SNPs 10 were significantly associated with CAD in CARDIoGRAM (OR>1, p < 0.05), more than expected by chance (p = 5.0*10(-5)). Considering all 44 SNPs, the average CAD risk observed per individual T2DM risk allele was 1.0076 (95% confidence interval (CI), 0.9973-1.0180). Such average risk increase was significantly lower than the increase expected based on i) the published effects of the SNPs on T2DM risk and ii) the effect of T2DM on CAD risk as observed in the Framingham Heart Study, which suggested a risk of 1.067 per allele (p = 7.2*10(-10) vs. the observed effect). Studying two risk scores based on risk alleles of the diabetes SNPs, one score using individual level data in 9856 subjects, and the second score on average effects of reported beta-coefficients from the entire CARDIoGRAM data-set, we again observed a significant - yet smaller than expected - association with CAD., Conclusions: Our data indicate that an association between type 2 diabetes related SNPs and CAD exists. However, the effects on CAD risk appear to be by far lower than what would be expected based on the effects of risk alleles on T2DM and the effect of T2DM on CAD in the epidemiological setting., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Published
2015
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14. Genome-wide association study for endothelial growth factors.

Author

Lieb W, Chen MH, Larson MG, Safa R, Teumer A, Baumeister SE, Lin H, Smith HM, Koch M, Lorbeer R, Völker U, Nauck M, Völzke H, Wallaschofski H, Sawyer DB, and Vasan RS

Subjects
Adult, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Models, Genetic, Genetic Predisposition to Disease, Hepatocyte Growth Factor genetics, Neoplasms genetics, Polymorphism, Single Nucleotide, Receptor, TIE-2 genetics, Vesicular Transport Proteins genetics
Abstract

Background: Endothelial growth factors including angiopoietin-2 (Ang-2), its soluble receptor Tie-2 (sTie-2), and hepatocyte growth factor play important roles in angiogenesis, vascular remodeling, local tumor growth, and metastatic potential of various cancers. Circulating levels of these biomarkers have a heritable component (between 13% and 56%), but the underlying genetic variation influencing these biomarker levels is largely unknown., Methods and Results: We performed a genome-wide association study for circulating Ang-2, sTie-2, and hepatocyte growth factor in 3571 Framingham Heart Study participants and assessed replication of the top hits for Ang-2 and sTie-2 in 3184 participants of the Study of Health in Pomerania. In multivariable-adjusted models, sTie-2 and hepatocyte growth factor concentrations were associated with single-nucleotide polymorphisms in the genes encoding the respective biomarkers (top P=2.40×10(-65) [rs2273720] and 3.64×10(-19) [rs5745687], respectively). Likewise, rs2442517 in the MCPH1 gene (in which the Ang-2 gene is embedded) was associated with Ang-2 levels (P=5.05×10(-8) in Framingham Heart Study and 8.39×10(-5) in Study of Health in Pomerania). Furthermore, single-nucleotide polymorphisms in the AB0 gene were associated with sTie-2 (top single-nucleotide polymorphism rs8176693 with P=1.84×10(-33) in Framingham Heart Study; P=2.53×10(-30) in Study of Health in Pomerania) and Ang-2 (rs8176746 with P=2.07×10(-8) in Framingham Heart Study; P=0.001 in Study of Health in Pomerania) levels on a genome-wide significant level. The top genetic loci were explained between 1.7% (Ang-2) and 11.2% (sTie-2) of the interindividual variation in biomarker levels., Conclusions: Genetic variation contributes to the interindividual variation in growth factor levels and explains a modest proportion of circulating hepatocyte growth factor, Ang-2, and Tie-2. This may potentially contribute to the familial susceptibility to cancer, a premise that warrants further studies., (© 2015 American Heart Association, Inc.)

Published
2015
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15. Genome-wide association analysis of plasma B-type natriuretic peptide in blacks: the Jackson Heart Study.

Author

Musani SK, Fox ER, Kraja A, Bidulescu A, Lieb W, Lin H, Beecham A, Chen MH, Felix JF, Fox CS, Kao WH, Kardia SL, Liu CT, Nalls MA, Rundek T, Sacco RL, Smith J, Sun YV, Wilson G, Zhang Z, Mosley TH, Taylor HA, and Vasan RS

Subjects
Adult, Aged, Aldosterone blood, Aldosterone genetics, Female, Humans, Male, Middle Aged, Mississippi, Renin blood, Renin genetics, Black or African American genetics, Cardiovascular Diseases blood, Cardiovascular Diseases ethnology, Cardiovascular Diseases genetics, Genetic Loci, Genome-Wide Association Study, Natriuretic Peptide, Brain blood, Natriuretic Peptide, Brain genetics, Polymorphism, Single Nucleotide
Abstract

Background: Numerous experimental studies suggest that B-type natriuretic peptide (BNP) is cardioprotective; however, in clinical studies, higher plasma BNP concentrations have been associated with incident cardiovascular disease and higher left ventricular mass. Genetic association studies may allow us to determine the true causal directions without confounding by compensatory mechanisms., Methods and Results: We performed a meta-analysis of 2 genome-wide association results from a total of 2790 blacks. We assumed an additive genetic model in an association analysis of imputed 2.5 million single-nucleotide polymorphism dosages with residuals generated from multivariable-adjusted logarithmically transformed BNP controlling for relevant covariates and population stratification. Two loci were genome-wide significant, a candidate gene locus NPPB (rs198389, P=1.18×10(-09)) and a novel missense variant in the KLKB1 locus (rs3733402, P=1.75×10(-11)) that explained 0.4% and 1.9% of variation in log BNP concentration, respectively. The observed increase in BNP concentration was proportional to the number of effect allele copies, and an average of 8.1 pg/mL increase was associated with 2 allele copies. In a companion study, single-nucleotide polymorphisms in this loci were cross-checked with genome-wide association results for the aldosterone/renin ratio in individuals of European ancestry, and rs3733402 was genome-wide significant (P<5.0×10(-8)), suggesting possible shared genetic architecture for these 2 pathways. Other statistically significant relations for these single-nucleotide polymorphisms included the following: rs198389 with systolic blood pressure in blacks (COGENT consortium) and rs198389 and rs3733402 with left ventricular mass in whites (EchoGEN consortium)., Conclusions: These findings improve our knowledge of the genetic basis of BNP variation in blacks, demonstrate a possible shared allelic architecture for BNP with aldosterone-renin ratio, and motivate further studies of underlying mechanisms., (© 2015 American Heart Association, Inc.)

Published
2015
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16. Genome-wide meta-analyses of plasma renin activity and concentration reveal association with the kininogen 1 and prekallikrein genes.

Author

Lieb W, Chen MH, Teumer A, de Boer RA, Lin H, Fox ER, Musani SK, Wilson JG, Wang TJ, Völzke H, Petersen AK, Meisinger C, Nauck M, Schlesinger S, Li Y, Menard J, Hercberg S, Wichmann HE, Völker U, Rawal R, Bidlingmaier M, Hannemann A, Dörr M, Rettig R, van Gilst WH, van Veldhuisen DJ, Bakker SJ, Navis G, Wallaschofski H, Meneton P, van der Harst P, Reincke M, and Vasan RS

Subjects
Aldosterone blood, Aldosterone genetics, Genome-Wide Association Study, Humans, Quantitative Trait, Heritable, Cardiovascular Diseases blood, Cardiovascular Diseases genetics, Kidney Diseases blood, Kidney Diseases genetics, Kininogens blood, Kininogens genetics, Polymorphism, Single Nucleotide, Prekallikrein genetics, Prekallikrein metabolism, Renin blood, Renin-Angiotensin System genetics
Abstract

Background: The renin-angiotensin-aldosterone system (RAAS) is critical for regulation of blood pressure and fluid balance and influences cardiovascular remodeling. Dysregulation of the RAAS contributes to cardiovascular and renal morbidity. The genetic architecture of circulating RAAS components is incompletely understood., Methods and Results: We meta-analyzed genome-wide association data for plasma renin activity (n=5275), plasma renin concentrations (n=8014), and circulating aldosterone (n=13289) from ≤4 population-based cohorts of European and European-American ancestry, and assessed replication of the top results in an independent sample (n=6487). Single-nucleotide polymorphisms (SNPs) in 2 independent loci displayed associations with plasma renin activity at genome-wide significance (P<5×10(-8)). A third locus was close to this threshold (rs4253311 in kallikrein B [KLKB1], P=5.5×10(-8)). Two of these loci replicated in an independent sample for both plasma renin and aldosterone concentrations (SNP rs5030062 in kininogen 1 [KNG1]: P=0.001 for plasma renin, P=0.024 for plasma aldosterone concentration; and rs4253311 with P<0.001 for both plasma renin and aldosterone concentration). SNPs in the NEBL gene reached genome-wide significance for plasma renin concentration in the discovery sample (top SNP rs3915911; P=8.81×10(-9)), but did not replicate (P=0.81). No locus reached genome-wide significance for aldosterone. SNPs rs5030062 and rs4253311 were not related to blood pressure or renal traits; in a companion study, variants in the kallikrein B locus were associated with B-type natriuretic peptide concentrations in blacks., Conclusions: We identified 2 genetic loci (kininogen 1 and kallikrein B) influencing key components of the RAAS, consistent with the close interrelation between the kallikrein-kinin system and the RAAS., (© 2014 American Heart Association, Inc.)

Published
2015
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17. Common genetic variation at the IL1RL1 locus regulates IL-33/ST2 signaling.

Author

Ho JE, Chen WY, Chen MH, Larson MG, McCabe EL, Cheng S, Ghorbani A, Coglianese E, Emilsson V, Johnson AD, Walter S, Franceschini N, O'Donnell CJ, Dehghan A, Lu C, Levy D, Newton-Cheh C, Lin H, Felix JF, Schreiter ER, Vasan RS, Januzzi JL, Lee RT, and Wang TJ

Subjects
Amino Acid Substitution, Female, Gene Expression, Gene Expression Regulation, Genetic Association Studies, HEK293 Cells, Humans, Interleukin-1 Receptor-Like 1 Protein, Interleukin-33, Interleukins genetics, Male, Middle Aged, Models, Molecular, Myelin and Lymphocyte-Associated Proteolipid Proteins metabolism, Myeloid Differentiation Factor 88 metabolism, NF-kappa B metabolism, Promoter Regions, Genetic, Prospective Studies, Protein Structure, Tertiary, Receptors, Cell Surface chemistry, Signal Transduction, Transcription Factor AP-1 metabolism, Interleukins metabolism, Polymorphism, Single Nucleotide, Receptors, Cell Surface genetics, Receptors, Cell Surface metabolism
Abstract

The suppression of tumorigenicity 2/IL-33 (ST2/IL-33) pathway has been implicated in several immune and inflammatory diseases. ST2 is produced as 2 isoforms. The membrane-bound isoform (ST2L) induces an immune response when bound to its ligand, IL-33. The other isoform is a soluble protein (sST2) that is thought to be a decoy receptor for IL-33 signaling. Elevated sST2 levels in serum are associated with an increased risk for cardiovascular disease. We investigated the determinants of sST2 plasma concentrations in 2,991 Framingham Offspring Cohort participants. While clinical and environmental factors explained some variation in sST2 levels, much of the variation in sST2 production was driven by genetic factors. In a genome-wide association study (GWAS), multiple SNPs within IL1RL1 (the gene encoding ST2) demonstrated associations with sST2 concentrations. Five missense variants of IL1RL1 correlated with higher sST2 levels in the GWAS and mapped to the intracellular domain of ST2, which is absent in sST2. In a cell culture model, IL1RL1 missense variants increased sST2 expression by inducing IL-33 expression and enhancing IL-33 responsiveness (via ST2L). Our data suggest that genetic variation in IL1RL1 can result in increased levels of sST2 and alter immune and inflammatory signaling through the ST2/IL-33 pathway.

Published
2013
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18. Genome-wide association study of cardiac structure and systolic function in African Americans: the Candidate Gene Association Resource (CARe) study.

Author

Fox ER, Musani SK, Barbalic M, Lin H, Yu B, Ogunyankin KO, Smith NL, Kutlar A, Glazer NL, Post WS, Paltoo DN, Dries DL, Farlow DN, Duarte CW, Kardia SL, Meyers KJ, Sun YV, Arnett DK, Patki AA, Sha J, Cui X, Samdarshi TE, Penman AD, Bibbins-Domingo K, Bůžková P, Benjamin EJ, Bluemke DA, Morrison AC, Heiss G, Carr JJ, Tracy RP, Mosley TH, Taylor HA, Psaty BM, Heckbert SR, Cappola TP, and Vasan RS

Subjects
Aged, Cohort Studies, Diastole, Echocardiography, Female, Genotype, Heart anatomy & histology, Humans, Male, Middle Aged, Phenotype, White People genetics, Black or African American genetics, Genome-Wide Association Study, Heart physiology, Polymorphism, Single Nucleotide, Systole
Abstract

Background: Using data from 4 community-based cohorts of African Americans, we tested the association between genome-wide markers (single-nucleotide polymorphisms) and cardiac phenotypes in the Candidate-gene Association Resource study., Methods and Results: Among 6765 African Americans, we related age, sex, height, and weight-adjusted residuals for 9 cardiac phenotypes (assessed by echocardiogram or magnetic resonance imaging) to 2.5 million single-nucleotide polymorphisms genotyped using Genome-wide Affymetrix Human SNP Array 6.0 (Affy6.0) and the remainder imputed. Within the cohort, genome-wide association analysis was conducted, followed by meta-analysis across cohorts using inverse variance weights (genome-wide significance threshold=4.0 ×10(-7)). Supplementary pathway analysis was performed. We attempted replication in 3 smaller cohorts of African ancestry and tested lookups in 1 consortium of European ancestry (EchoGEN). Across the 9 phenotypes, variants in 4 genetic loci reached genome-wide significance: rs4552931 in UBE2V2 (P=1.43×10(-7)) for left ventricular mass, rs7213314 in WIPI1 (P=1.68×10(-7)) for left ventricular internal diastolic diameter, rs1571099 in PPAPDC1A (P=2.57×10(-8)) for interventricular septal wall thickness, and rs9530176 in KLF5 (P=4.02×10(-7)) for ejection fraction. Associated variants were enriched in 3 signaling pathways involved in cardiac remodeling. None of the 4 loci replicated in cohorts of African ancestry was confirmed in lookups in EchoGEN., Conclusions: In the largest genome-wide association study of cardiac structure and function to date in African Americans, we identified 4 genetic loci related to left ventricular mass, interventricular septal wall thickness, left ventricular internal diastolic diameter, and ejection fraction, which reached genome-wide significance. Replication results suggest that these loci may be unique to individuals of African ancestry. Additional large-scale studies are warranted for these complex phenotypes.

Published
2013
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19. Association of genetic variation in the mitochondrial genome with blood pressure and metabolic traits.

Author

Liu C, Yang Q, Hwang SJ, Sun F, Johnson AD, Shirihai OS, Vasan RS, Levy D, and Schwartz F

Subjects
Adult, Alleles, Female, Genetic Association Studies, Genotype, Humans, Male, Middle Aged, Phenotype, Blood Pressure genetics, DNA, Mitochondrial genetics, Genome, Mitochondrial genetics, Hypertension genetics, Polymorphism, Single Nucleotide
Abstract

Elevated blood pressure (BP) is a major risk factor for cardiovascular disease. Several studies have noted a consistent maternal effect on BP; consequently, mitochondrial DNA variation has become an additional target of investigation of the missing BP heritability. Analyses of common mitochondrial DNA polymorphisms, however, have not found evidence of association with hypertension. To explore associations of uncommon (frequency>5%) mitochon drial DNA variants with BP, we identified uncommon/rare variants through sequencing the entire mitochondrial genome in 32 unrelated individuals with extreme-high BP in the Framingham Heart Study and genotyped 40 mitochondrial single nucleotide polymorphisms in 7219 Framingham Heart Study participants. The nonsynonymous mitochondrial single nucleotide polymorphism 5913G>A (Asp4Asn) in the cytochrome c oxidase subunit 1 of respiratory complex IV demonstrated significant associations with BP and fasting blood glucose (FBG) levels. Individuals with the rare 5913A allele had, on average, 7-mm Hg higher systolic BP at baseline (Pempirical=0.05) and 17-mg/dL higher mean FBG over 25 years of follow-up (Pempirical=0.009). Significant associations with FBG levels were also detected for nonsynonymous mitochondrial single nucleotide polymorphism 3316G>A (Ala4Thr) in the NADH dehydrogenase subunit 1 of complex I. On average, individuals with rare allele 3316A had 17- and 25-mg/dL higher FBG at baseline (Pempirical=0.01) and over 25 years of follow-up (Pempirical=0.007). Our findings provide the first evidence of putative association of variants in the mitochondrial genome with systolic BP and FBG in the general population. Replication in independent samples, however, is needed to confirm these putative associations.

Published
2012
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20. Using family-based imputation in genome-wide association studies with large complex pedigrees: the Framingham Heart Study.

Author

Chen MH, Huang J, Chen WM, Larson MG, Fox CS, Vasan RS, Seshadri S, O'Donnell CJ, and Yang Q

Subjects
Female, Genotype, HapMap Project, Humans, Linkage Disequilibrium, Male, Models, Statistical, Pedigree, Phenotype, Algorithms, Cardiovascular Diseases genetics, Genetic Markers, Genome, Human, Genome-Wide Association Study, Polymorphism, Single Nucleotide genetics
Abstract

Imputation has been widely used in genome-wide association studies (GWAS) to infer genotypes of un-genotyped variants based on the linkage disequilibrium in external reference panels such as the HapMap and 1000 Genomes. However, imputation has only rarely been performed based on family relationships to infer genotypes of un-genotyped individuals. Using 8998 Framingham Heart Study (FHS) participants genotyped with Affymetrix 550K SNPs, we imputed genotypes of same set of SNPs for additional 3121 participants, most of whom were never genotyped due to lack of DNA sample. Prior to imputation, 122 pedigrees were too large to be handled by the imputation software Merlin. Therefore, we developed a novel pedigree splitting algorithm that can maximize the number of genotyped relatives for imputing each un-genotyped individual, while keeping new sub-pedigrees under a pre-specified size. In GWAS of four phenotypes available in FHS (Alzheimer disease, circulating levels of fibrinogen, high-density lipoprotein cholesterol, and uric acid), we compared results using genotyped individuals only with results using both genotyped and imputed individuals. We studied the impact of applying different imputation quality filtering thresholds on the association results and did not found a universal threshold that always resulted in a more significant p-value for previously identified loci. However most of these loci had a lower p-value when we only included imputed genotypes with with ≥60% SNP- and ≥50% person-specific imputation certainty. In summary, we developed a novel algorithm for splitting large pedigrees for imputation and found a plausible imputation quality filtering threshold based on FHS. Further examination may be required to generalize this threshold to other studies.

Published
2012
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21. Eight genetic loci associated with variation in lipoprotein-associated phospholipase A2 mass and activity and coronary heart disease: meta-analysis of genome-wide association studies from five community-based studies.

Author

Grallert H, Dupuis J, Bis JC, Dehghan A, Barbalic M, Baumert J, Lu C, Smith NL, Uitterlinden AG, Roberts R, Khuseyinova N, Schnabel RB, Rice KM, Rivadeneira F, Hoogeveen RC, Fontes JD, Meisinger C, Keaney JF Jr, Lemaitre R, Aulchenko YS, Vasan RS, Ellis S, Hazen SL, van Duijn CM, Nelson JJ, März W, Schunkert H, McPherson RM, Stirnadel-Farrant HA, Psaty BM, Gieger C, Siscovick D, Hofman A, Illig T, Cushman M, Yamamoto JF, Rotter JI, Larson MG, Stewart AF, Boerwinkle E, Witteman JC, Tracy RP, Koenig W, Benjamin EJ, and Ballantyne CM

Subjects
1-Alkyl-2-acetylglycerophosphocholine Esterase, Aged, Coronary Artery Disease genetics, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Coronary Disease genetics, Genetic Loci genetics, Phospholipases A2 genetics, Polymorphism, Single Nucleotide genetics
Abstract

Aims: Lipoprotein-associated phospholipase A2 (Lp-PLA2) generates proinflammatory and proatherogenic compounds in the arterial vascular wall and is a potential therapeutic target in coronary heart disease (CHD). We searched for genetic loci related to Lp-PLA2 mass or activity by a genome-wide association study as part of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium., Methods and Results: In meta-analyses of findings from five population-based studies, comprising 13 664 subjects, variants at two loci (PLA2G7, CETP) were associated with Lp-PLA2 mass. The strongest signal was at rs1805017 in PLA2G7 [P = 2.4 × 10(-23), log Lp-PLA2 difference per allele (beta): 0.043]. Variants at six loci were associated with Lp-PLA2 activity (PLA2G7, APOC1, CELSR2, LDL, ZNF259, SCARB1), among which the strongest signals were at rs4420638, near the APOE-APOC1-APOC4-APOC2 cluster [P = 4.9 × 10(-30); log Lp-PLA2 difference per allele (beta): -0.054]. There were no significant gene-environment interactions between these eight polymorphisms associated with Lp-PLA2 mass or activity and age, sex, body mass index, or smoking status. Four of the polymorphisms (in APOC1, CELSR2, SCARB1, ZNF259), but not PLA2G7, were significantly associated with CHD in a second study., Conclusion: Levels of Lp-PLA2 mass and activity were associated with PLA2G7, the gene coding for this protein. Lipoprotein-associated phospholipase A2 activity was also strongly associated with genetic variants related to low-density lipoprotein cholesterol levels.

Published
2012
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22. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.

Author

Ehret GB, Munroe PB, Rice KM, Bochud M, Johnson AD, Chasman DI, Smith AV, Tobin MD, Verwoert GC, Hwang SJ, Pihur V, Vollenweider P, O'Reilly PF, Amin N, Bragg-Gresham JL, Teumer A, Glazer NL, Launer L, Zhao JH, Aulchenko Y, Heath S, Sõber S, Parsa A, Luan J, Arora P, Dehghan A, Zhang F, Lucas G, Hicks AA, Jackson AU, Peden JF, Tanaka T, Wild SH, Rudan I, Igl W, Milaneschi Y, Parker AN, Fava C, Chambers JC, Fox ER, Kumari M, Go MJ, van der Harst P, Kao WH, Sjögren M, Vinay DG, Alexander M, Tabara Y, Shaw-Hawkins S, Whincup PH, Liu Y, Shi G, Kuusisto J, Tayo B, Seielstad M, Sim X, Nguyen KD, Lehtimäki T, Matullo G, Wu Y, Gaunt TR, Onland-Moret NC, Cooper MN, Platou CG, Org E, Hardy R, Dahgam S, Palmen J, Vitart V, Braund PS, Kuznetsova T, Uiterwaal CS, Adeyemo A, Palmas W, Campbell H, Ludwig B, Tomaszewski M, Tzoulaki I, Palmer ND, Aspelund T, Garcia M, Chang YP, O'Connell JR, Steinle NI, Grobbee DE, Arking DE, Kardia SL, Morrison AC, Hernandez D, Najjar S, McArdle WL, Hadley D, Brown MJ, Connell JM, Hingorani AD, Day IN, Lawlor DA, Beilby JP, Lawrence RW, Clarke R, Hopewell JC, Ongen H, Dreisbach AW, Li Y, Young JH, Bis JC, Kähönen M, Viikari J, Adair LS, Lee NR, Chen MH, Olden M, Pattaro C, Bolton JA, Köttgen A, Bergmann S, Mooser V, Chaturvedi N, Frayling TM, Islam M, Jafar TH, Erdmann J, Kulkarni SR, Bornstein SR, Grässler J, Groop L, Voight BF, Kettunen J, Howard P, Taylor A, Guarrera S, Ricceri F, Emilsson V, Plump A, Barroso I, Khaw KT, Weder AB, Hunt SC, Sun YV, Bergman RN, Collins FS, Bonnycastle LL, Scott LJ, Stringham HM, Peltonen L, Perola M, Vartiainen E, Brand SM, Staessen JA, Wang TJ, Burton PR, Soler Artigas M, Dong Y, Snieder H, Wang X, Zhu H, Lohman KK, Rudock ME, Heckbert SR, Smith NL, Wiggins KL, Doumatey A, Shriner D, Veldre G, Viigimaa M, Kinra S, Prabhakaran D, Tripathy V, Langefeld CD, Rosengren A, Thelle DS, Corsi AM, Singleton A, Forrester T, Hilton G, McKenzie CA, Salako T, Iwai N, Kita Y, Ogihara T, Ohkubo T, Okamura T, Ueshima H, Umemura S, Eyheramendy S, Meitinger T, Wichmann HE, Cho YS, Kim HL, Lee JY, Scott J, Sehmi JS, Zhang W, Hedblad B, Nilsson P, Smith GD, Wong A, Narisu N, Stančáková A, Raffel LJ, Yao J, Kathiresan S, O'Donnell CJ, Schwartz SM, Ikram MA, Longstreth WT Jr, Mosley TH, Seshadri S, Shrine NR, Wain LV, Morken MA, Swift AJ, Laitinen J, Prokopenko I, Zitting P, Cooper JA, Humphries SE, Danesh J, Rasheed A, Goel A, Hamsten A, Watkins H, Bakker SJ, van Gilst WH, Janipalli CS, Mani KR, Yajnik CS, Hofman A, Mattace-Raso FU, Oostra BA, Demirkan A, Isaacs A, Rivadeneira F, Lakatta EG, Orru M, Scuteri A, Ala-Korpela M, Kangas AJ, Lyytikäinen LP, Soininen P, Tukiainen T, Würtz P, Ong RT, Dörr M, Kroemer HK, Völker U, Völzke H, Galan P, Hercberg S, Lathrop M, Zelenika D, Deloukas P, Mangino M, Spector TD, Zhai G, Meschia JF, Nalls MA, Sharma P, Terzic J, Kumar MV, Denniff M, Zukowska-Szczechowska E, Wagenknecht LE, Fowkes FG, Charchar FJ, Schwarz PE, Hayward C, Guo X, Rotimi C, Bots ML, Brand E, Samani NJ, Polasek O, Talmud PJ, Nyberg F, Kuh D, Laan M, Hveem K, Palmer LJ, van der Schouw YT, Casas JP, Mohlke KL, Vineis P, Raitakari O, Ganesh SK, Wong TY, Tai ES, Cooper RS, Laakso M, Rao DC, Harris TB, Morris RW, Dominiczak AF, Kivimaki M, Marmot MG, Miki T, Saleheen D, Chandak GR, Coresh J, Navis G, Salomaa V, Han BG, Zhu X, Kooner JS, Melander O, Ridker PM, Bandinelli S, Gyllensten UB, Wright AF, Wilson JF, Ferrucci L, Farrall M, Tuomilehto J, Pramstaller PP, Elosua R, Soranzo N, Sijbrands EJ, Altshuler D, Loos RJ, Shuldiner AR, Gieger C, Meneton P, Uitterlinden AG, Wareham NJ, Gudnason V, Rotter JI, Rettig R, Uda M, Strachan DP, Witteman JC, Hartikainen AL, Beckmann JS, Boerwinkle E, Vasan RS, Boehnke M, Larson MG, Järvelin MR, Psaty BM, Abecasis GR, Chakravarti A, Elliott P, van Duijn CM, Newton-Cheh C, Levy D, Caulfield MJ, and Johnson T

Subjects
Africa ethnology, Asia ethnology, Blood Pressure physiology, Coronary Artery Disease genetics, Europe ethnology, Genome-Wide Association Study, Humans, Hypertension genetics, Kidney Diseases genetics, Stroke genetics, Blood Pressure genetics, Cardiovascular Diseases genetics, Genetic Predisposition to Disease genetics, Polymorphism, Single Nucleotide genetics
Abstract

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

Published
2011
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23. Identification of cis- and trans-acting genetic variants explaining up to half the variation in circulating vascular endothelial growth factor levels.

Author

Debette S, Visvikis-Siest S, Chen MH, Ndiaye NC, Song C, Destefano A, Safa R, Azimi Nezhad M, Sawyer D, Marteau JB, Xanthakis V, Siest G, Sullivan L, Pfister M, Smith H, Choi SH, Lamont J, Lind L, Yang Q, Fitzgerald P, Ingelsson E, Vasan RS, and Seshadri S

Subjects
Adolescent, Adult, Aged, Cohort Studies, Female, Gene Regulatory Networks genetics, Humans, Male, Middle Aged, Prospective Studies, RNA, Messenger biosynthesis, RNA, Messenger blood, RNA, Messenger genetics, Vascular Endothelial Growth Factor A biosynthesis, Young Adult, Genetic Variation genetics, Genome-Wide Association Study methods, Polymorphism, Single Nucleotide genetics, Vascular Endothelial Growth Factor A blood, Vascular Endothelial Growth Factor A genetics
Abstract

Rationale: Vascular endothelial growth factor (VEGF) affects angiogenesis, atherosclerosis, and cancer. Although the heritability of circulating VEGF levels is high, little is known about its genetic underpinnings., Objective: Our aim was to identify genetic variants associated with circulating VEGF levels, using an unbiased genome-wide approach, and to explore their functional significance with gene expression and pathway analysis., Methods and Results: We undertook a genome-wide association study of serum VEGF levels in 3527 participants of the Framingham Heart Study, with preplanned replication in 1727 participants from 2 independent samples, the STANISLAS Family Study and the Prospective Investigation of the Vasculature in Uppsala Seniors study. One hundred forty single nucleotide polymorphism (SNPs) reached genome-wide significance (P<5×10(-8)). We found evidence of replication for the most significant associations in both replication datasets. In a conditional genome-wide association study, 4 SNPs mapping to 3 chromosomal regions were independently associated with circulating VEGF levels: rs6921438 and rs4416670 (6p21.1, P=6.11×10(-506) and P=1.47×10(-12)), rs6993770 (8q23.1, P=2.50×10(-16)), and rs10738760 (9p24.2, P=1.96×10(-34)). A genetic score including these 4 SNPs explained 48% of the heritability of serum VEGF levels. Six of the SNPs that reached genome-wide significance in the genome-wide association study were significantly associated with VEGF messenger RNA levels in peripheral blood mononuclear cells. Ingenuity pathway analyses showed found plausible biological links between VEGF and 2 novel genes in these loci (ZFPM2 and VLDLR)., Conclusions: Genetic variants explaining up to half the heritability of serum VEGF levels were identified. These new insights provide important clues to the pathways regulating circulating VEGF levels.

Published
2011
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24. Eight common genetic variants associated with serum DHEAS levels suggest a key role in ageing mechanisms.

Author

Zhai G, Teumer A, Stolk L, Perry JR, Vandenput L, Coviello AD, Koster A, Bell JT, Bhasin S, Eriksson J, Eriksson A, Ernst F, Ferrucci L, Frayling TM, Glass D, Grundberg E, Haring R, Hedman AK, Hofman A, Kiel DP, Kroemer HK, Liu Y, Lunetta KL, Maggio M, Lorentzon M, Mangino M, Melzer D, Miljkovic I, Nica A, Penninx BW, Vasan RS, Rivadeneira F, Small KS, Soranzo N, Uitterlinden AG, Völzke H, Wilson SG, Xi L, Zhuang WV, Harris TB, Murabito JM, Ohlsson C, Murray A, de Jong FH, Spector TD, and Wallaschofski H

Subjects
Actin-Related Protein 2-3 Complex genetics, Actin-Related Protein 2-3 Complex metabolism, Adaptor Proteins, Signal Transducing genetics, Adaptor Proteins, Signal Transducing metabolism, Adult, Aged, Aging genetics, Apoptosis Regulatory Proteins genetics, Aryl Hydrocarbon Hydroxylases genetics, Aryl Hydrocarbon Hydroxylases metabolism, Bcl-2-Like Protein 11, Cytochrome P-450 CYP2C9, DNA-Binding Proteins, Female, Gene Expression, Genome-Wide Association Study, Homeodomain Proteins genetics, Homeodomain Proteins metabolism, Humans, Kruppel-Like Transcription Factors genetics, Kruppel-Like Transcription Factors metabolism, Linkage Disequilibrium, Liver metabolism, Male, Membrane Proteins genetics, Middle Aged, Proto-Oncogene Proteins genetics, Sulfotransferases genetics, Sulfotransferases metabolism, Transcription Factors genetics, Transcription Factors metabolism, White People genetics, Young Adult, Aging blood, Apoptosis Regulatory Proteins metabolism, Dehydroepiandrosterone Sulfate blood, Membrane Proteins metabolism, Polymorphism, Single Nucleotide, Proto-Oncogene Proteins metabolism
Abstract

Dehydroepiandrosterone sulphate (DHEAS) is the most abundant circulating steroid secreted by adrenal glands--yet its function is unknown. Its serum concentration declines significantly with increasing age, which has led to speculation that a relative DHEAS deficiency may contribute to the development of common age-related diseases or diminished longevity. We conducted a meta-analysis of genome-wide association data with 14,846 individuals and identified eight independent common SNPs associated with serum DHEAS concentrations. Genes at or near the identified loci include ZKSCAN5 (rs11761528; p = 3.15 × 10(-36)), SULT2A1 (rs2637125; p =  2.61 × 10(-19)), ARPC1A (rs740160; p =  1.56 × 10(-16)), TRIM4 (rs17277546; p =  4.50 × 10(-11)), BMF (rs7181230; p = 5.44 × 10(-11)), HHEX (rs2497306; p =  4.64 × 10(-9)), BCL2L11 (rs6738028; p = 1.72 × 10(-8)), and CYP2C9 (rs2185570; p = 2.29 × 10(-8)). These genes are associated with type 2 diabetes, lymphoma, actin filament assembly, drug and xenobiotic metabolism, and zinc finger proteins. Several SNPs were associated with changes in gene expression levels, and the related genes are connected to biological pathways linking DHEAS with ageing. This study provides much needed insight into the function of DHEAS., Competing Interests: The authors have declared that no competing interests exist.

Published
2011
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25. Common genetic determinants of vitamin D insufficiency: a genome-wide association study.

Author

Wang TJ, Zhang F, Richards JB, Kestenbaum B, van Meurs JB, Berry D, Kiel DP, Streeten EA, Ohlsson C, Koller DL, Peltonen L, Cooper JD, O'Reilly PF, Houston DK, Glazer NL, Vandenput L, Peacock M, Shi J, Rivadeneira F, McCarthy MI, Anneli P, de Boer IH, Mangino M, Kato B, Smyth DJ, Booth SL, Jacques PF, Burke GL, Goodarzi M, Cheung CL, Wolf M, Rice K, Goltzman D, Hidiroglou N, Ladouceur M, Wareham NJ, Hocking LJ, Hart D, Arden NK, Cooper C, Malik S, Fraser WD, Hartikainen AL, Zhai G, Macdonald HM, Forouhi NG, Loos RJ, Reid DM, Hakim A, Dennison E, Liu Y, Power C, Stevens HE, Jaana L, Vasan RS, Soranzo N, Bojunga J, Psaty BM, Lorentzon M, Foroud T, Harris TB, Hofman A, Jansson JO, Cauley JA, Uitterlinden AG, Gibson Q, Järvelin MR, Karasik D, Siscovick DS, Econs MJ, Kritchevsky SB, Florez JC, Todd JA, Dupuis J, Hyppönen E, and Spector TD

Subjects
Canada, Chromosomes, Human, Pair 11, Chromosomes, Human, Pair 4, Cohort Studies, Dietary Supplements, Europe, Genetic Predisposition to Disease, Genome-Wide Association Study, Heterozygote, Homozygote, Humans, Immunoassay, International Cooperation, Linkage Disequilibrium, Seasons, United States, Vitamin D blood, Vitamin D genetics, Vitamin D Deficiency blood, Vitamin D Deficiency prevention & control, Polymorphism, Single Nucleotide, Vitamin D analogs & derivatives, Vitamin D Deficiency genetics, White People genetics
Abstract

Background: Vitamin D is crucial for maintenance of musculoskeletal health, and might also have a role in extraskeletal tissues. Determinants of circulating 25-hydroxyvitamin D concentrations include sun exposure and diet, but high heritability suggests that genetic factors could also play a part. We aimed to identify common genetic variants affecting vitamin D concentrations and risk of insufficiency., Methods: We undertook a genome-wide association study of 25-hydroxyvitamin D concentrations in 33 996 individuals of European descent from 15 cohorts. Five epidemiological cohorts were designated as discovery cohorts (n=16 125), five as in-silico replication cohorts (n=9367), and five as de-novo replication cohorts (n=8504). 25-hydroxyvitamin D concentrations were measured by radioimmunoassay, chemiluminescent assay, ELISA, or mass spectrometry. Vitamin D insufficiency was defined as concentrations lower than 75 nmol/L or 50 nmol/L. We combined results of genome-wide analyses across cohorts using Z-score-weighted meta-analysis. Genotype scores were constructed for confirmed variants., Findings: Variants at three loci reached genome-wide significance in discovery cohorts for association with 25-hydroxyvitamin D concentrations, and were confirmed in replication cohorts: 4p12 (overall p=1.9x10(-109) for rs2282679, in GC); 11q12 (p=2.1x10(-27) for rs12785878, near DHCR7); and 11p15 (p=3.3x10(-20) for rs10741657, near CYP2R1). Variants at an additional locus (20q13, CYP24A1) were genome-wide significant in the pooled sample (p=6.0x10(-10) for rs6013897). Participants with a genotype score (combining the three confirmed variants) in the highest quartile were at increased risk of having 25-hydroxyvitamin D concentrations lower than 75 nmol/L (OR 2.47, 95% CI 2.20-2.78, p=2.3x10(-48)) or lower than 50 nmol/L (1.92, 1.70-2.16, p=1.0x10(-26)) compared with those in the lowest quartile., Interpretation: Variants near genes involved in cholesterol synthesis, hydroxylation, and vitamin D transport affect vitamin D status. Genetic variation at these loci identifies individuals who have substantially raised risk of vitamin D insufficiency., Funding: Full funding sources listed at end of paper (see Acknowledgments)., (Copyright 2010 Elsevier Ltd. All rights reserved.)

Published
2010
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26. Duffy antigen receptor for chemokines (Darc) polymorphism regulates circulating concentrations of monocyte chemoattractant protein-1 and other inflammatory mediators.

Author

Schnabel RB, Baumert J, Barbalic M, Dupuis J, Ellinor PT, Durda P, Dehghan A, Bis JC, Illig T, Morrison AC, Jenny NS, Keaney JF Jr, Gieger C, Tilley C, Yamamoto JF, Khuseyinova N, Heiss G, Doyle M, Blankenberg S, Herder C, Walston JD, Zhu Y, Vasan RS, Klopp N, Boerwinkle E, Larson MG, Psaty BM, Peters A, Ballantyne CM, Witteman JC, Hoogeveen RC, Benjamin EJ, Koenig W, and Tracy RP

Subjects
Adult, Chemokine CCL2 genetics, Chromosomes, Human, Pair 1, Cohort Studies, Duffy Blood-Group System metabolism, Erythrocytes metabolism, Female, Genetic Loci, Genome-Wide Association Study, Humans, Inflammation Mediators blood, Male, Middle Aged, Receptors, Cell Surface metabolism, Chemokine CCL2 blood, Duffy Blood-Group System genetics, Polymorphism, Single Nucleotide, Receptors, Cell Surface genetics
Abstract

To identify the genetic basis of circulating concentrations of monocyte chemoattractant protein-1 (MCP-1), we conducted genome-wide association analyses for MCP-1 in 3 independent cohorts (n = 9598). The strongest association was for serum MCP-1 with a nonsynonymous polymorphism, rs12075 (Asp42Gly) in DARC, the gene for Duffy antigen receptor for chemokines, a known vascular reservoir of proinflammatory cytokines (minor allele frequency, 45.6%; P < 1.0 * 10(-323)). This association was supported by family-based genetic linkage at a locus encompassing the DARC gene (genome-wide P = 8.0 * 10(-13)). Asp42Gly accounted for approximately 20% of the variability in serum MCP-1 concentrations and also was associated with serum concentrations of interleukin-8 and RANTES. While exploring a lack of association between this polymorphism and EDTA plasma MCP-1 concentrations (P = .82), we determined that both clotting and exogenous heparan sulfate (unfractionated heparin) released substantial amounts of MCP-1 from Darc. Quantitative immunoflow cytometry failed to identify meaningful Asp42Gly-associated differences in Darc expression, suggesting that a functional change is responsible for the differential cytokine binding. We conclude that Asp42Gly is a major regulator of erythrocyte Darc-mediated cytokine binding and thereby the circulating concentrations of several proinflammatory cytokines. We have also identified for the first time 2 mechanisms for the release of reservoir chemokines with possible clinical implications.

Published
2010
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27. Association of genome-wide variation with the risk of incident heart failure in adults of European and African ancestry: a prospective meta-analysis from the cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium.

Author

Smith NL, Felix JF, Morrison AC, Demissie S, Glazer NL, Loehr LR, Cupples LA, Dehghan A, Lumley T, Rosamond WD, Lieb W, Rivadeneira F, Bis JC, Folsom AR, Benjamin E, Aulchenko YS, Haritunians T, Couper D, Murabito J, Wang YA, Stricker BH, Gottdiener JS, Chang PP, Wang TJ, Rice KM, Hofman A, Heckbert SR, Fox ER, O'Donnell CJ, Uitterlinden AG, Rotter JI, Willerson JT, Levy D, van Duijn CM, Psaty BM, Witteman JC, Boerwinkle E, and Vasan RS

Subjects
Aged, Aged, 80 and over, Cohort Studies, Endopeptidases genetics, Female, Genome-Wide Association Study, Heart Failure epidemiology, Humans, Incidence, Male, Middle Aged, Risk, Ubiquitin-Specific Proteases, Black or African American genetics, Heart Failure genetics, Polymorphism, Single Nucleotide, White People genetics
Abstract

Background: Although genetic factors contribute to the onset of heart failure (HF), no large-scale genome-wide investigation of HF risk has been published to date. We have investigated the association of 2,478,304 single-nucleotide polymorphisms with incident HF by meta-analyzing data from 4 community-based prospective cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study., Methods and Results: Eligible participants for these analyses were of European or African ancestry and free of clinical HF at baseline. Each study independently conducted genome-wide scans and imputed data to the approximately 2.5 million single-nucleotide polymorphisms in HapMap. Within each study, Cox proportional hazards regression models provided age- and sex-adjusted estimates of the association between each variant and time to incident HF. Fixed-effect meta-analyses combined results for each single-nucleotide polymorphism from the 4 cohorts to produce an overall association estimate and P value. A genome-wide significance P value threshold was set a priori at 5.0x10(-7). During a mean follow-up of 11.5 years, 2526 incident HF events (12%) occurred in 20 926 European-ancestry participants. The meta-analysis identified a genome-wide significant locus at chromosomal position 15q22 (1.4x10(-8)), which was 58.8 kb from USP3. Among 2895 African-ancestry participants, 466 incident HF events (16%) occurred during a mean follow-up of 13.7 years. One genome-wide significant locus was identified at 12q14 (6.7x10(-8)), which was 6.3 kb from LRIG3., Conclusions: We identified 2 loci that were associated with incident HF and exceeded genome-wide significance. The findings merit replication in other community-based settings of incident HF.

Published
2010
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28. Genomic variation associated with mortality among adults of European and African ancestry with heart failure: the cohorts for heart and aging research in genomic epidemiology consortium.

Author

Morrison AC, Felix JF, Cupples LA, Glazer NL, Loehr LR, Dehghan A, Demissie S, Bis JC, Rosamond WD, Aulchenko YS, Wang YA, Haritunians T, Folsom AR, Rivadeneira F, Benjamin EJ, Lumley T, Couper D, Stricker BH, O'Donnell CJ, Rice KM, Chang PP, Hofman A, Levy D, Rotter JI, Fox ER, Uitterlinden AG, Wang TJ, Psaty BM, Willerson JT, van Duijn CM, Boerwinkle E, Witteman JC, Vasan RS, and Smith NL

Subjects
Aged, Aged, 80 and over, Cohort Studies, Female, Genome-Wide Association Study, Genotype, Humans, Introns, MARVEL Domain-Containing Proteins, Male, Middle Aged, Risk Factors, Black or African American genetics, Chemokines genetics, Heart Failure genetics, Heart Failure mortality, Membrane Proteins genetics, Polymorphism, Single Nucleotide, White People genetics
Abstract

Background: Prognosis and survival are significant concerns for individuals with heart failure (HF). To better understand the pathophysiology of HF prognosis, the association between 2,366,858 single-nucleotide polymorphisms (SNPs) and all-cause mortality was evaluated among individuals with incident HF from 4 community-based prospective cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study., Methods and Results: Participants were 2526 individuals of European ancestry and 466 individuals of African ancestry who experienced an incident HF event during follow-up in the respective cohorts. Within each study, the association between genetic variants and time to mortality among individuals with HF was assessed by Cox proportional hazards models that included adjustment for sex and age at the time of the HF event. Prospective fixed-effect meta-analyses were conducted for the 4 study populations of European ancestry (N=1645 deaths) and for the 2 populations of African ancestry (N=281 deaths). Genome-wide significance was set at P=5.0x10(-7). Meta-analytic findings among individuals of European ancestry revealed 1 genome-wide significant locus on chromosome 3p22 in an intron of CKLF-like MARVEL transmembrane domain containing 7 (CMTM7, P=3.2x10(-7)). Eight additional loci in individuals of European ancestry and 4 loci in individuals of African ancestry were identified by high-signal SNPs (P<1.0x10(-5)) but did not meet genome-wide significance., Conclusions: This study identified a novel locus associated with all-cause mortality among individuals of European ancestry with HF. This finding warrants additional investigation, including replication, in other studies of HF.

Published
2010
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29. Common variants in KCNN3 are associated with lone atrial fibrillation.

Author

Ellinor PT, Lunetta KL, Glazer NL, Pfeufer A, Alonso A, Chung MK, Sinner MF, de Bakker PI, Mueller M, Lubitz SA, Fox E, Darbar D, Smith NL, Smith JD, Schnabel RB, Soliman EZ, Rice KM, Van Wagoner DR, Beckmann BM, van Noord C, Wang K, Ehret GB, Rotter JI, Hazen SL, Steinbeck G, Smith AV, Launer LJ, Harris TB, Makino S, Nelis M, Milan DJ, Perz S, Esko T, Köttgen A, Moebus S, Newton-Cheh C, Li M, Möhlenkamp S, Wang TJ, Kao WH, Vasan RS, Nöthen MM, MacRae CA, Stricker BH, Hofman A, Uitterlinden AG, Levy D, Boerwinkle E, Metspalu A, Topol EJ, Chakravarti A, Gudnason V, Psaty BM, Roden DM, Meitinger T, Wichmann HE, Witteman JC, Barnard J, Arking DE, Benjamin EJ, Heckbert SR, and Kääb S

Subjects
Adolescent, Adult, Aged, Case-Control Studies, Cohort Studies, Female, Genome-Wide Association Study, Humans, Introns genetics, Male, Meta-Analysis as Topic, Middle Aged, Young Adult, Atrial Fibrillation genetics, Polymorphism, Single Nucleotide physiology, Small-Conductance Calcium-Activated Potassium Channels genetics
Abstract

Atrial fibrillation (AF) is the most common sustained arrhythmia. Previous studies have identified several genetic loci associated with typical AF. We sought to identify common genetic variants underlying lone AF. This condition affects a subset of individuals without overt heart disease and with an increased heritability of AF. We report a meta-analysis of genome-wide association studies conducted using 1,335 individuals with lone AF (cases) and 12,844 unaffected individuals (referents). Cases were obtained from the German AF Network, Heart and Vascular Health Study, the Atherosclerosis Risk in Communities Study, the Cleveland Clinic and Massachusetts General Hospital. We identified an association on chromosome 1q21 to lone AF (rs13376333, adjusted odds ratio = 1.56; P = 6.3 x 10(-12)), and we replicated this association in two independent cohorts with lone AF (overall combined odds ratio = 1.52, 95% CI 1.40-1.64; P = 1.83 x 10(-21)). rs13376333 is intronic to KCNN3, which encodes a potassium channel protein involved in atrial repolarization.

Published
2010
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30. Association between arterial stiffness and variations in oestrogen-related genes.

Author

Peter I, Kelley-Hedgepeth A, Huggins GS, Housman DE, Mendelsohn ME, Vita JA, Vasan RS, Levy D, Benjamin EJ, and Mitchell GF

Subjects
Aged, Arteries diagnostic imaging, Blood Pressure, Brachial Artery physiopathology, Carotid Arteries physiopathology, Elasticity, Female, Femoral Artery physiopathology, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Homozygote, Humans, Linkage Disequilibrium, Male, Manometry, Middle Aged, Peripheral Vascular Diseases diagnostic imaging, Peripheral Vascular Diseases physiopathology, Phenotype, Pulsatile Flow, Ultrasonography, Doppler, Aromatase genetics, Arteries physiopathology, Estrogen Receptor alpha genetics, Estrogen Receptor beta genetics, Peripheral Vascular Diseases genetics, Polymorphism, Single Nucleotide
Abstract

Increased arterial stiffness and wave reflection have been identified as cardiovascular disease risk factors. In light of significant sex differences and the moderate heritability of vascular function measures, we hypothesized that variation in the genes coding for oestrogen receptors alpha (ESR1) and beta (ESR2) and aromatase (CYP19A1) is associated with aortic stiffness and pressure wave reflection as measured by non-invasive arterial tonometry. In all, 1261 unrelated Framingham Offspring Study participants who attended the seventh examination cycle (mean age 62+/-10 years, 52% women) and had arterial tonometry and genotyping data were included in the study. Analysis of covariance was used to assess the association of polymorphisms with forward wave amplitude, augmented pressure, augmentation index (AI), carotid-femoral pulse wave velocity and mean arterial pressure with adjustment for potential confounders. In the sex-pooled analysis, those homozygous for the minor allele at any of four ESR1 variants that were in strong linkage disequilibrium ((TA)(n), rs2077647, rs2234693 and rs9340799) had on an average 18% higher augmented pressure and 16% greater AI compared with carriers of one or two major alleles (P=0.0002-0.01). A similar magnitude of association was detected in those homozygous for the common allele at two ESR2 single-nucleotide polymorphisms (P=0.007-0.02). Our results are consistent with the hypothesis that variation in ESR1 and ESR2, but not CYP19A1, is associated with an increased wave reflection that may contribute to associations between these variants and adverse clinical events demonstrated earlier. Our findings will need to be replicated in additional cohorts.

Published
2009
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31. Association between SNP heterozygosity and quantitative traits in the Framingham Heart Study.

Author

Govindaraju DR, Larson MG, Yin X, Benjamin EJ, Rao MB, and Vasan RS

Subjects
Adult, Aged, Aged, 80 and over, Boston, Cardiovascular Diseases physiopathology, Cohort Studies, Female, Genetic Variation, Heterozygote, Humans, Male, Middle Aged, White People genetics, Cardiovascular Diseases genetics, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable
Abstract

Associations between multilocus heterozygosity and fitness traits, also termed heterozygosity and fitness correlations (HFCs), have been reported in numerous organisms. These studies, in general, indicate a positive relationship between heterozygosity and fitness traits. We studied the association between genome-wide heterozygosity at 706 non-synonymous and synonymous SNPs and 19 quantitative traits, including morphological, biochemical and fitness traits in the Framingham Heart Study. Statistically significant association was found between heterozygosity and systolic and diastolic blood pressures as well as left ventricular diameter and wall thickness. These results suggest that heterozygosity may be associated with traits, such as blood pressure that closely track environmental variations. Balancing selection may be operating in the maintenance of heterozygosity and the major components of blood pressure and hypertension. Genome wide SNP heterozygosity may be used to understand the phenomenon of dominance as well as the evolutionary basis of many quantitative traits in humans.

Published
2009
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32. Clinical and genetic factors associated with lipoprotein-associated phospholipase A2 in the Framingham Heart Study.

Author

Schnabel R, Dupuis J, Larson MG, Lunetta KL, Robins SJ, Zhu Y, Rong J, Yin X, Stirnadel HA, Nelson JJ, Wilson PW, Keaney JF, Vasan RS, and Benjamin EJ

Subjects
1-Alkyl-2-acetylglycerophosphocholine Esterase, Adult, Biomarkers blood, Cardiovascular Diseases enzymology, Cohort Studies, Cross-Sectional Studies, Female, Genetic Linkage, Genetic Predisposition to Disease, Humans, Inflammation genetics, Linear Models, MADS Domain Proteins genetics, MEF2 Transcription Factors, Male, Middle Aged, Myogenic Regulatory Factors genetics, Pedigree, Phenotype, Phospholipases A2 blood, Risk Assessment, Risk Factors, Up-Regulation, Vascular Endothelial Growth Factor C genetics, Cardiovascular Diseases genetics, Phospholipases A2 genetics, Polymorphism, Single Nucleotide
Abstract

Objective: To conduct an investigation of clinical and genetic correlates of lipoprotein-associated phospholipase (Lp-PLA(2)) activity and mass in a large community-based cohort. Higher circulating Lp-PLA(2) predicts cardiovascular disease risk, but sources of inter-individual variability are incompletely understood., Methods: We conducted stepwise regression of clinical correlates of Lp-PLA(2) in four Framingham Heart Study cohorts (n=8185; mean age 50+/-14 years, 53.8% women, 9.8% ethnic/racial minority cohort). We also conducted heritability and linkage analyses in Offspring and Generation 3 cohorts (n=6945). In Offspring cohort participants we performed association analyses (n=1535 unrelated) with 1943 common tagging SNPs in 233 inflammatory candidate genes., Results: Sixteen clinical variables explained 57% of the variability in Lp-PLA(2) activity; covariates associated with Lp-PLA(2) mass were similar but only explained 27% of the variability. Multivariable-adjusted heritability estimates for Lp-PLA(2) activity and mass were 41% and 25%, respectively. A linkage peak was observed for Lp-PLA(2) activity (chromosome 6, LOD score 2.4). None of the SNPs achieved experiment-wide statistical significance, though 12 had q values <0.50, and hence we expect at least 50% of these associations to be true positives. The strongest multivariable-association with Lp-PLA(2) activity was found for MEF2A (rs2033547; nominal p=3.20 x 10(-4)); SNP rs1051931 in PLA2G7 was nominally associated (p=1.26 x 10(-3)). The most significant association to Lp-PLA(2) mass was in VEGFC (rs10520358, p=9.14 x 10(-4))., Conclusions: Cardiovascular risk factors and genetic variation contribute to variability in Lp-PLA(2) activity and mass. Our genetic association analyses need replication, which will be facilitated by web posting of our genetic association results.

Published
2009
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33. Variants in the CNR1 and the FAAH genes and adiposity traits in the community.

Author

Lieb W, Manning AK, Florez JC, Dupuis J, Cupples LA, McAteer JB, Vasan RS, Hoffmann U, O'Donnell CJ, Meigs JB, and Fox CS

Subjects
Aged, Body Mass Index, Cohort Studies, Female, Gene Frequency genetics, Genetic Predisposition to Disease genetics, Humans, Intra-Abdominal Fat, Male, Middle Aged, Subcutaneous Fat, Waist Circumference genetics, Adiposity genetics, Amidohydrolases genetics, Polymorphism, Single Nucleotide genetics, Receptors, Cannabinoid genetics
Abstract

Pharmacologic blockade of the endocannabinoid receptor 1 leads to weight loss and an improved metabolic risk profile in overweight and obese individuals. We hypothesize that common genetic variants in the CNR1 (encoding endocannabinoid receptor 1) and FAAH genes (encoding fatty acid amide hydrolase, a key enzyme hydrolyzing endocannabinoids) are associated with adiposity traits. We genotyped 18 single-nucleotide polymorphisms (SNPs) in the CNR1 gene and 9 SNPs in the FAAH gene in 2,415 Framingham Offspring Study participants (mean age 61 +/- 10 years; 52.6% women; mean BMI 28.2 +/- 5.4 kg/m(2); 30.3% obese) and studied them for association with cross-sectional and longitudinal measures of adiposity (BMI, waist circumference, change over time in BMI and waist circumference, visceral and subcutaneous adipose tissue) using linear mixed-effect models. The selected SNPs captured 85% (r(2) = 0.8) of the common variation (minor allele frequency >5%) at the CNR1 locus and 96% (r(2) = 0.8) of the common variation at the FAAH locus (defined as the genomic segment containing the gene +20 kb upstream and +10 kb downstream). After correction for multiple testing, none of the SNPs in the CNR1 gene or in the FAAH gene displayed statistical evidence for association with BMI, waist circumference, and visceral adipose tissue or subcutaneous adipose tissue (all P > 0.18). Despite comprehensive SNP mapping across the genes and their regulatory regions in a large unselected sample, we failed to find evidence for an association of common variants in the CNR1 and FAAH genes with measures of adiposity in our community-based sample.

Published
2009
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34. Association of common variants in NPPA and NPPB with circulating natriuretic peptides and blood pressure.

Author

Newton-Cheh C, Larson MG, Vasan RS, Levy D, Bloch KD, Surti A, Guiducci C, Kathiresan S, Benjamin EJ, Struck J, Morgenthaler NG, Bergmann A, Blankenberg S, Kee F, Nilsson P, Yin X, Peltonen L, Vartiainen E, Salomaa V, Hirschhorn JN, Melander O, and Wang TJ

Subjects
Adult, Aged, Case-Control Studies, Female, Gene Frequency, Genetic Predisposition to Disease, Humans, Hypertension blood, Hypertension genetics, Linkage Disequilibrium, Male, Middle Aged, Atrial Natriuretic Factor genetics, Blood Pressure genetics, Natriuretic Peptide, Brain genetics, Natriuretic Peptides blood, Polymorphism, Single Nucleotide
Abstract

We examined the association of common variants at the NPPA-NPPB locus with circulating concentrations of the natriuretic peptides, which have blood pressure-lowering properties. We genotyped SNPs at the NPPA-NPPB locus in 14,743 individuals of European ancestry, and identified associations of plasma atrial natriuretic peptide with rs5068 (P = 8 x 10(-70)), rs198358 (P = 8 x 10(-30)) and rs632793 (P = 2 x 10(-10)), and of plasma B-type natriuretic peptide with rs5068 (P = 3 x 10(-12)), rs198358 (P = 1 x 10(-25)) and rs632793 (P = 2 x 10(-68)). In 29,717 individuals, the alleles of rs5068 and rs198358 that showed association with increased circulating natriuretic peptide concentrations were also found to be associated with lower systolic (P = 2 x 10(-6) and 6 x 10(-5), respectively) and diastolic blood pressure (P = 1 x 10(-6) and 5 x 10(-5)), as well as reduced odds of hypertension (OR = 0.85, 95% CI = 0.79-0.92, P = 4 x 10(-5); OR = 0.90, 95% CI = 0.85-0.95, P = 2 x 10(-4), respectively). Common genetic variants at the NPPA-NPPB locus found to be associated with circulating natriuretic peptide concentrations contribute to interindividual variation in blood pressure and hypertension.

Published
2009
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35. The KCNMB1 E65K variant is associated with reduced central pulse pressure in the community-based Framingham Offspring Cohort.

Author

Kelley-Hedgepeth A, Peter I, Montefusco MC, Levy D, Benjamin EJ, Vasan RS, Mendelsohn ME, Housman D, Huggins GS, and Mitchell GF

Subjects
Aged, Brachial Artery anatomy & histology, Brachial Artery physiology, Cohort Studies, Female, Humans, Male, Middle Aged, Blood Pressure, Large-Conductance Calcium-Activated Potassium Channel beta Subunits genetics, Polymorphism, Single Nucleotide
Abstract

Objectives: Genetic variants that influence large conductance calcium-activated potassium channel's function may alter arterial function and contribute to the known heritability of arterial stiffness and blood pressure. The beta1-subunit (KCNMB1) of the large conductance calcium-activated potassium channel includes two coding region polymorphisms. E65K, a gain-of-function polymorphism, is predicted to enhance large conductance calcium-activated potassium channel opening and vasorelaxation, whereas V110L has no known effect. We and others have reported that E65K carriers have reduced blood pressure., Methods: To test our hypothesis that E65K has a favorable effect on arterial function, we related arterial tonometry and brachial artery phenotypes to genotypes in 1100 Framingham Offspring Study participants with available genotypes and phenotypes (53% women; mean age 61.5 +/- 9.4 years)., Results: The minor allele frequency was 0.10 for E65K and 0.09 for V110L; both were in Hardy-Weinberg equilibrium (chi2, P > 0.05), and haplotype analysis found R2 = 0.01. E65K was associated with lower augmented pressure (7.4 +/- 3.3 versus 9.0 +/- 3.8 mmHg, P = 0.01) and central pulse pressure (47.1 +/- 7.3 versus 50.7 +/- 7.8 mmHg, P = 0.01) in multivariable analyses. No association was noted between E65K and mean arterial pressure, carotid-femoral pulse wave velocity or brachial artery diameter, flow velocity or volume flow. V110L was not associated with tonometry or brachial measures., Conclusion: A diminished augmented pressure in K-carriers suggests a reduced or delayed wave reflection and supports the hypothesis that E65K reduces arterial impedance mismatch in the arterial tree. Our findings in a middle-aged community-based cohort, if replicated, would support that E65K has a favorable effect on arterial function and pulsatile hemodynamic load.

Published
2009
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36. Clinical and genetic correlates of soluble P-selectin in the community.

Author

Lee DS, Larson MG, Lunetta KL, Dupuis J, Rong J, Keaney JF Jr, Lipinska I, Baldwin CT, Vasan RS, and Benjamin EJ

Subjects
Aged, Cardiovascular Diseases blood, Cardiovascular Diseases genetics, Female, Genetic Linkage, Humans, Inheritance Patterns, Male, Middle Aged, Multivariate Analysis, Pedigree, Phenotype, Risk Factors, Cardiovascular Diseases etiology, P-Selectin blood, Polymorphism, Single Nucleotide, Residence Characteristics
Abstract

Background: P-selectin is a cell adhesion molecule that is involved in atherogenesis, and soluble concentrations of this biomarker reflect cardiovascular risk. However, the clinical correlates and genetic characterization of soluble P-selectin have not been clearly elucidated., Objective: To describe clinical and genetic correlates of circulating P-selectin in the community., Methods: In Framingham Heart Study Offspring (European descent) and Omni (ethnic/racial minority) participants, we examined the association of cardiovascular risk factors with soluble P-selectin concentrations. In Offspring participants, we evaluated heritability, linkage and association of 29 SELP single-nucleotide polymorphisms (SNPs) with adjusted P-selectin concentrations., Results: In multivariable analysis of 3,690 participants (54% women, mean age 60 +/- 10 years), higher log-transformed P-selectin concentrations were inversely associated with female sex and hormone replacement therapy, and positively associated with age, ethnic/racial minority status, cigarette smoking, waist circumference, systolic blood pressure, fasting glucose, and total/high-density lipoprotein cholesterol and triglyceride concentrations. Clinical factors explained 10.4% of the interindividual variability in P-selectin concentrations. In 571 extended pedigrees (n = 1,841) with >or= 2 phenotyped members per family, multivariable-adjusted heritability was 45.4 +/- 5.8%. Among the SELP SNPs examined, a non-synonymous SNP (rs6136) encoding a threonine-to-proline substitution at position 715 was highly significantly associated with decreased P-selectin concentrations (P = 5.2 x 10(-39)), explaining 9.7% of variation after adjustment for clinical factors., Conclusions: Multiple clinical factors and an SNP in the SELP gene were significantly associated with circulating P-selectin concentrations. One SNP in SELP explained significant variation in circulating P-selectin concentrations, even after accounting for known clinical correlates.

Published
2008
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37. Heritability, linkage, and genetic associations of exercise treadmill test responses.

Author

Ingelsson E, Larson MG, Vasan RS, O'Donnell CJ, Yin X, Hirschhorn JN, Newton-Cheh C, Drake JA, Musone SL, Heard-Costa NL, Benjamin EJ, Levy D, Atwood LD, Wang TJ, and Kathiresan S

Subjects
Adult, Blood Pressure genetics, Blood Pressure physiology, Diastole, Family Health, Female, Heart Rate genetics, Heart Rate physiology, Humans, Male, Middle Aged, Predictive Value of Tests, Systole, Exercise Test, Genetic Linkage physiology, Polymorphism, Single Nucleotide physiology, Quantitative Trait, Heritable
Abstract

Background: The blood pressure (BP) and heart rate responses to exercise treadmill testing predict incidence of cardiovascular disease, but the genetic determinants of hemodynamic and chronotropic responses to exercise are largely unknown., Methods and Results: We assessed systolic BP, diastolic BP, and heart rate during the second stage of the Bruce protocol and at the third minute of recovery in 2982 Framingham Offspring participants (mean age 43 years; 53% women). With use of residuals from multivariable models adjusted for clinical correlates of exercise treadmill testing responses, we estimated the heritability (variance-components methods), genetic linkage (multipoint quantitative trait analyses), and association with 235 single-nucleotide polymorphisms in 14 candidate genes selected a priori from neurohormonal pathways for their potential role in exercise treadmill testing responses. Heritability estimates for heart rate during exercise and during recovery were 0.32 and 0.34, respectively. Heritability estimates for BP variables during exercise were 0.25 and 0.26 (systolic and diastolic BP) and during recovery, 0.16 and 0.13 (systolic and diastolic BP), respectively. Suggestive linkage was found for systolic BP during recovery from exercise (locus 1q43-44, log-of-the-odds score 2.59) and diastolic BP during recovery from exercise (locus 4p15.3, log-of-the-odds score 2.37). Among 235 single-nucleotide polymorphisms tested for association with exercise treadmill testing responses, the minimum nominal probability value was 0.003, which was nonsignificant after adjustment for multiple testing., Conclusions: Hemodynamic and chronotropic responses to exercise are heritable and demonstrate suggestive linkage to select loci. Genetic mapping with newer approaches such as genome-wide association may yield novel insights into the physiological responses to exercise.

Published
2007
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38. The Framingham Heart Study 100K SNP genome-wide association study resource: overview of 17 phenotype working group reports.

Author

Cupples LA, Arruda HT, Benjamin EJ, D'Agostino RB Sr, Demissie S, DeStefano AL, Dupuis J, Falls KM, Fox CS, Gottlieb DJ, Govindaraju DR, Guo CY, Heard-Costa NL, Hwang SJ, Kathiresan S, Kiel DP, Laramie JM, Larson MG, Levy D, Liu CY, Lunetta KL, Mailman MD, Manning AK, Meigs JB, Murabito JM, Newton-Cheh C, O'Connor GT, O'Donnell CJ, Pandey M, Seshadri S, Vasan RS, Wang ZY, Wilk JB, Wolf PA, Yang Q, and Atwood LD

Subjects
Adult, Cardiovascular Diseases physiopathology, Cohort Studies, Disease Susceptibility, Female, Genetic Markers, Humans, Male, Middle Aged, Cardiovascular Diseases genetics, Genome, Human, Phenotype, Polymorphism, Single Nucleotide
Abstract

Background: The Framingham Heart Study (FHS), founded in 1948 to examine the epidemiology of cardiovascular disease, is among the most comprehensively characterized multi-generational studies in the world. Many collected phenotypes have substantial genetic contributors; yet most genetic determinants remain to be identified. Using single nucleotide polymorphisms (SNPs) from a 100K genome-wide scan, we examine the associations of common polymorphisms with phenotypic variation in this community-based cohort and provide a full-disclosure, web-based resource of results for future replication studies., Methods: Adult participants (n = 1345) of the largest 310 pedigrees in the FHS, many biologically related, were genotyped with the 100K Affymetrix GeneChip. These genotypes were used to assess their contribution to 987 phenotypes collected in FHS over 56 years of follow up, including: cardiovascular risk factors and biomarkers; subclinical and clinical cardiovascular disease; cancer and longevity traits; and traits in pulmonary, sleep, neurology, renal, and bone domains. We conducted genome-wide variance components linkage and population-based and family-based association tests., Results: The participants were white of European descent and from the FHS Original and Offspring Cohorts (examination 1 Offspring mean age 32 +/- 9 years, 54% women). This overview summarizes the methods, selected findings and limitations of the results presented in the accompanying series of 17 manuscripts. The presented association results are based on 70,897 autosomal SNPs meeting the following criteria: minor allele frequency > or + 10%, genotype call rate > or = 80%, Hardy-Weinberg equilibrium p-value > or = 0.001, and satisfying Mendelian consistency. Linkage analyses are based on 11,200 SNPs and short-tandem repeats. Results of phenotype-genotype linkages and associations for all autosomal SNPs are posted on the NCBI dbGaP website at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007 webcite., Conclusion: We have created a full-disclosure resource of results, posted on the dbGaP website, from a genome-wide association study in the FHS. Because we used three analytical approaches to examine the association and linkage of 987 phenotypes with thousands of SNPs, our results must be considered hypothesis-generating and need to be replicated. Results from the FHS 100K project with NCBI web posting provides a resource for investigators to identify high priority findings for replication.

Published
2007
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39. Phenotype-genotype association grid: a convenient method for summarizing multiple association analyses.

Author

Levy D, DePalma SR, Benjamin EJ, O'Donnell CJ, Parise H, Hirschhorn JN, Vasan RS, Izumo S, and Larson MG

Subjects
Data Interpretation, Statistical, Echocardiography, Environment, Female, Genes, Haplotypes, Humans, Internet, Male, Computer Graphics, Genotype, Models, Genetic, Phenotype, Polymorphism, Single Nucleotide
Abstract

Background: High-throughput genotyping generates vast amounts of data for analysis; results can be difficult to summarize succinctly. A single project may involve genotyping many genes with multiple variants per gene and analyzing each variant in relation to numerous phenotypes, using several genetic models and population subgroups. Hundreds of statistical tests may be performed for a single SNP, thereby complicating interpretation of results and inhibiting identification of patterns of association., Results: To facilitate visual display and summary of large numbers of association tests of genetic loci with multiple phenotypes, we developed a Phenotype-Genotype Association (PGA) grid display. A database-backed web server was used to create PGA grids from phenotypic and genotypic data (sample sizes, means and standard errors, P-value for association). HTML pages were generated using Tcl scripts on an AOLserver platform, using an Oracle database, and the ArsDigita Community System web toolkit. The grids are interactive and permit display of summary data for individual cells by a mouse click (i.e. least squares means for a given SNP and phenotype, specified genetic model and study sample). PGA grids can be used to visually summarize results of individual SNP associations, gene-environment associations, or haplotype associations., Conclusion: The PGA grid, which permits interactive exploration of large numbers of association test results, can serve as an easily adapted common and useful display format for large-scale genetic studies. Doing so would reduce the problem of publication bias, and would simplify the task of summarizing large-scale association studies.

Published
2006
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40. Contribution of clinical correlates and 13 C-reactive protein gene polymorphisms to interindividual variability in serum C-reactive protein level.

Author

Kathiresan S, Larson MG, Vasan RS, Guo CY, Gona P, Keaney JF Jr, Wilson PW, Newton-Cheh C, Musone SL, Camargo AL, Drake JA, Levy D, O'Donnell CJ, Hirschhorn JN, and Benjamin EJ

Subjects
Age Factors, Aged, Alleles, Blood Pressure, Body Mass Index, C-Reactive Protein analysis, Cardiovascular Diseases epidemiology, Cardiovascular Diseases genetics, Cohort Studies, Female, Genetic Predisposition to Disease, Genotype, Haplotypes genetics, Humans, Lipids blood, Male, Middle Aged, Obesity blood, Promoter Regions, Genetic, Quantitative Trait, Heritable, Sex Factors, Smoking epidemiology, C-Reactive Protein genetics, Genetic Variation, Polymorphism, Single Nucleotide
Abstract

Background: Serum C-reactive protein (CRP) level is a heritable complex trait that predicts incident cardiovascular disease. We investigated the clinical and genetic sources of interindividual variability in serum CRP., Methods and Results: We studied serum CRP in 3301 Framingham Heart Study (FHS) participants (mean age 61 years, 53% women). Twelve clinical covariates explained 26% of the variability in CRP level, with body mass index alone explaining 15% (P<0.0001) of the variance. To investigate the influence of genetic variation at the CRP gene on CRP levels, we first constructed a dense linkage disequilibrium map for common single-nucleotide polymorphisms (SNPs) spanning the CRP locus (1 SNP every 850 bases, 26 kilobase [kb] genomic region). Thirteen CRP SNPs were genotyped in 1640 unrelated FHS participants with measured CRP levels. After adjustment for clinical covariates, 9 of 13 SNPs were associated with CRP level (P<0.05). To account for correlation among SNPs, we conducted forward stepwise selection among all 13 SNPs; a triallelic SNP (rs3091244) remained associated with CRP level (stepwise P<0.0001). The triallelic SNP (C-->T-->A; allele frequencies 62%, 31%, and 7%), located in the promoter sequence, explained 1.4% of total serum CRP variation; haplotypes harboring the minor T and A alleles of this SNP were associated with higher CRP level (haplotype P=0.0002 and 0.004)., Conclusions: In our community-based sample, clinical variables explained 26% of the interindividual variation in CRP, whereas a common triallelic CRP SNP contributed modestly. Studies of larger samples are warranted to assess the association of genetic variation in CRP and risk of cardiovascular disease.

Published
2006
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41. Association of estrogen receptor beta gene polymorphisms with left ventricular mass and wall thickness in women.

Author

Peter I, Shearman AM, Vasan RS, Zucker DR, Schmid CH, Demissie S, Cupples LA, Kuvin JT, Karas RH, Mendelsohn ME, Housman DE, and Benjamin EJ

Subjects
Aged, Echocardiography, Female, Gene Frequency, Genotype, Heart Ventricles metabolism, Heart Ventricles pathology, Humans, Hypertension complications, Hypertension genetics, Hypertension pathology, Hypertrophy, Left Ventricular complications, Hypertrophy, Left Ventricular genetics, Male, Middle Aged, Regression Analysis, Sex Factors, Estrogen Receptor beta genetics, Hypertrophy, Left Ventricular pathology, Polymorphism, Single Nucleotide
Abstract

Background: Left ventricular (LV) hypertrophy is a significant risk factor for cardiovascular disease. Given sex-based differences in cardiac structure and remodeling, we hypothesized that variation in estrogen pathway genes might be associated with alteration of LV structure., Methods: We studied 1249 unrelated individuals, 547 men and 702 women (mean age 59 years) from the Framingham Heart Study. Eight single nucleotide polymorphisms in the genes for estrogen receptor alpha and estrogen receptor beta (ESR2) were tested for association with 5 LV measures: LV mass (LVM), LV wall thickness (LVWT), LV internal diameter at end-diastole and end-systole, and fractional shortening. Sex-specific multiple regression analyses were performed adjusting for age, weight, height, systolic and diastolic blood pressure, hypertension treatment, diabetes, and in women, menopausal status., Results: In men, there was no evidence of association between the estrogen pathway polymorphisms tested and LV structure or function. In women, however, two polymorphisms, ESR2 rs1256031 and ESR2 rs1256059, in linkage disequilibrium with one another, were associated with LVM and LVWT (P = .0007 to .03); the association was most pronounced in those women with hypertension (P = .0006 to .01). The association did not appear to be explained by variation in blood pressure, plasma lipoprotein levels, or hyperglycemia., Conclusions: The ESR2 polymorphisms are associated with LV structural differences in women with hypertension in a community-based population. These data are consistent with the hypothesis that genetic factors may mediate part of the observed sex-based differences in LV structure and remodeling.

Published
2005
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42. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

Author

Wain, Louise V., Verwoert, Germaine C., O'Reilly, Paul F., Shi, Gang, Johnson, Toby, Johnson, Andrew D., Bochud, Murielle, Rice, Kenneth M., Henneman, Peter, Smith, Albert V., Ehret, Georg B., Amin, Najaf, Larson, Martin G., Mooser, Vincent, Hadley, David, Dörr, Marcus, Bis, Joshua C, Aspelund, Thor, Esko, Tõnu, Janssens, A Cecile J. W., Zhao, Jing Hua, Heath, Simon, Laan, Maris, Fu, Jingyuan, Pistis, Giorgio, Luan, Jian'An, Arora, Pankaj, Lucas, Gavin, Pirastu, Nicola, Pichler, Irene, Jackson, Anne U., Webster, Rebecca J., Zhang, Feng, Peden, John F., Schmidt, Helena, Tanaka, Toshiko, Campbell, Harry, Igl, Wilmar, Milaneschi, Yuri, Hottenga, Jouke-Jan, Vitart, Veronique, Chasman, Daniel I., Trompet, Stella, Bragg-Gresham, Jennifer L., Alizadeh, Behrooz Z., Chambers, John C., Guo, Xiuqing, Lehtimäki, Terho, Kühnel, Brigitte, Lopez, Lorna M., Polašek, Ozren, Boban, Mladen, Nelson, Christopher P., Morrison, Alanna C., Pihur, Vasyl, Ganesh, Santhi K., Hofman, Albert, Kundu, Suman, Mattace-Raso, Francesco U. S., Rivadeneira, Fernando, Sijbrands, Eric J. G., Uitterlinden, Andre G., Hwang, Shih-Jen, Vasan, Ramachandran S., Wang, Thomas J., Bergmann, Sven, Vollenweider, Peter, Waeber, Gérard, Laitinen, Jaana, Pouta, Anneli, Zitting, Paavo, McArdle, Wendy L., Kroemer, Heyo K., Völker, Uwe, Völzke, Henry, Glazer, Nicole L., Taylor, Kent D., Harris, Tamara B., Alavere, Helene, Haller, Toomas, Keis, Aime, Tammesoo, Mari-Liis, Aulchenko, Yurii, Barroso, In S., Khaw, Kay-Tee, Galan, Pilar, Hercberg, Serge, Lathrop, Mark, Eyheramendy, Susana, Org, Elin, Sõber, Siim, Lu, Xiaowen, Nolte, Ilja M., Penninx, Brenda W., Corre, Tanguy, Masciullo, Corrado, Sala, Cinzia, Groop, Leif, Voight, Benjamin F, Melander, Olle, O'Donnell, Christopher J, Salomaa, Veikko, D'Adamo, Adamo Pio, Fabretto, Antonella, Faletra, Flavio, Ulivi, Sheila, Del Greco M, Fabiola, Facheris, Maurizio, Collins, Francis S., Bergman, Richard N., Beilby, John P., Hung, Joseph, Musk, A William, Mangino, Massimo, Shin, So-Youn, Soranzo, Nicole, Watkins, Hugh, Goel, Anuj, Hamsten, Anders, Gider, Pierre, Loitfelder, Marisa, Zeginigg, Marion, Hernandez, Dena, Najjar, Samer S., Navarro, Pau, Wild, Sarah H., Corsi, Anna Maria, Singleton, Andrew, De Geus, Eco J. C., Willemsen, Gonneke, Parker, Alex N., Rose, Lynda M., Buckley, Brendan, Stott, David, Orru, Marco, Uda, Manuela, Van Der Klauw, Melanie M., Zhang, Weihua, Li, Xinzhong, Scott, James, Chen, Yii-Der Ida, Burke, Gregory L, Kähönen, Mika, Viikari, Jorma, Döring, Angela, Meitinger, Thomas, Davies, Gail, Starr, John M., Emilsson, Valur, Plump, Andrew, Lindeman, Jan H., Hoen, Peter A. C. T., König, Inke R., Felix, Janine F., Clarke, Robert, Hopewell, Jemma C., Ongen, Halit, Breteler, Monique, Debette, Stéphanie, Destefano, Anita L., Fornage, Myriam, Mitchell, Gary F., Smith, Nicholas L., Holm, Hilma, Stefansson, Kari, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Samani, Nilesh J., Preuss, Michael, Rudan, Igor, Hayward, Caroline, Deary, Ian J., Wichmann, H-Erich, Raitakari, Olli T., Palmas, Walter, Kooner, Jaspal S., Stolk, Ronald P., Jukema, J Wouter, Wright, Alan F., Boomsma, Dorret I., Bandinelli, Stefania, Gyllensten, Ulf B., Wilson, James F., Ferrucci, Luigi, Schmidt, Reinhold, Farrall, Martin, Spector, Tim D., Palmer, Lyle J., Tuomilehto, Jaakko, Pfeufer, Arne, Gasparini, Paolo, Siscovick, David, Altshuler, David, Loos, Ruth J. F., Toniolo, Daniela, Snieder, Harold, Gieger, Christian, Meneton, Pierre, Wareham, Nicholas J., Oostra, Ben A., Metspalu, Andres, Launer, Lenore, Rettig, Rainer, Strachan, David P., Beckmann, Jacques S., Witteman, Jacqueline C. M., Erdmann, Jeanette, Van Dijk, Ko Willems, Boerwinkle, Eric, Boehnke, Michael, Ridker, Paul M., Jarvelin, Marjo-Riitta, Chakravarti, Aravinda, Abecasis, Goncalo R., Gudnason, Vilmundur, Newton-Cheh, Christopher, Levy, Daniel, Munroe, Patricia B., Psaty, Bruce M., Caulfield, Mark J., Rao, Dabeeru C., Tobin, Martin D., Elliott, Paul, Van Duijn, Cornelia M. McEniery CM, Wilkinson IB, Cockcroft JR, O'Shaughnessy KM, Newhouse SJ, Yasmin, Smith AV, Eiriksdottir G, Launer LJ, Sigurdsson S, Aspelund T, Gudnason V, De Bacquer D, Rietzschel ER, De Backer GG, Van Bortel L, De Buyzere ML, Segers P, Bekaert S, Gillebert TC, De Meyer T, Ferrucci L, Tanaka T, Johnson AD, Levy D, Benjamin EJ, Mitchell GF, Vita JA, Larson MG, Hamburg NM, Vasan RS, Isaacs A, Schut AF, Oostra BA, van Duijn CM, van Rijn MJ, Sie MP, Newman AB, Herrington DM, Andrews JS, Ding J, Sutton-Tyrrell KC, Harris TB, Howard TD, Liu Y, Parsa A, Shuldiner AR, McArdle PF, Gibson Q, Post WS, Dehghan A, Hofman A, Uitterlinden AG, Sijbrands EJ, Rivadeneira F, Mattace-Raso FU, Verwoert GC, Witteman JC, Scuteri A, Lakatta EG, Jewell E, Abecasis GR, Tarasov KV, Uda M, Najjar SS, Sanna S, Attwood T, Belz S, Braund P, Cambien F, Cooper J, Crisp-Hihn A, Deloukas P, Foad N, Eardman J, Goodall AH, Gracey J, Gray E, Gulde S, Gwilliams R, Heimerl S, Hengstenberg C, Jolley J, Krishnan U, Linsel-Nitschke P, Lloyd-Jones H, Lugauer I, Lundmark P, Maouche S, Moore JS, Muir D, Murray E, Nelson CP, Neudert J, Niblett D, O'Leary K, Ouwehand WH, Pollard H, Rankin A, Rice CM, Sager H, Samani NJ, Sambrook J, Schmitz G, Scholz M, Schroeder L, Schunkert H, Syvannen AC, Wallace C, Kathiresan S, Reilly MP, Erdmann J, Assimes TL, Boerwinkle E, Hall A, König IR, Laaksonen R, McPherson R, Thompson JR, Thorsteinsdottir U, Ziegler A, Absher D, Chen L, Cupples LA, Halperin E, Li M, Musunuru K, Preuss M, Schillert A, Thorleifsson G, Voight BF, Wells GA, Assime TL, Holm H, Roberts R, Stewart AF, Fortmann S, Go A, Hlatky M, Iribarren C, Knowles J, Myers R, Quertermous T, Sidney S, Risch N, Tang H, Blankenberg S, Zeller T, Wild P, Schnabel R, Sinning C, Lackner K, Tiret L, Nicaud V, Bickel C, Rupprecht HJ, Perret C, Proust C, Münzel T, Barbalic M, Bis J, Chen IY, Cupples L, Demissie-Banjaw S, Folsom A, Glazer N, Harris T, Heckbert S, Lumley T, Marciante K, Morrison A, O' Donnell CJ, Psaty BM, Rice K, Rotter JI, Siscovick DS, Smith N, Smith A, Taylor KD, van Duijn C, Volcik K, Whitteman J, Ramachandran V, Uitterlinden A, Gretarsdottir S, Gulcher JR, Kong A, Stefansson K, Thorgeirsson G, Andersen K, Fischer M, Grosshennig A, Lieb W, Stark K, Schreiber S, Wichmann HE, Aherrahrou Z, Bruse P, Doering A, Illig T, Klopp N, Loley C, Medack A, Meisinger C, Meitinger T, Nahrstedt J, Peters A, Wagner AK, Willenborg C, Böhm BO, Dobnig H, Grammer TB, Hoffmann MM, Kleber M, März W, Meinitzer A, Winkelmann BR, Pilz S, Renner W, Scharnagl H, Stojakovic T, Tomaschitz A, Winkler K, Guiducci C, Burtt N, Gabriel SB, O'Donnell CJ, Elosua R, Peltonen L, Salomaa V, Schwartz SM, Melander O, Altshuler D, Dandona S, Jarinova O, Qu L, Wilensky R, Matthai W, Hakonarson HH, Devaney J, Burnett MS, Pichard AD, Kent KM, Satler L, Lindsay JM, Waksman R, Knouff CW, Waterworth DM, Walker MC, Mooser V, Epstein SE, Rader DJ, Braund PS, Wright BJ, Balmforth AJ, Ball SG, Hall AS, Smith NL, Felix JF, Morrison AC, Demissie S, Glazer NL, Loehr LR, Rosamond WD, Bis JC, Folsom AR, Benjamin E, Aulchenko YS, Haritunians T, Couper D, Murabito J, Yang YA, Stricker BH, Gottdiener JS, Chang PP, Wang TJ, Rice KM, Heckbert SR, Fox ER, Willerson JT, Köttgen A, Pattaro C, Böger CA, Fuchsberger C, Olden M, Gao X, Yang Q, O'Connell JR, Schmidt H, Ketkar S, Hwang SJ, Teumer A, Paré G, Atkinson EJ, Lohman K, Cornelis MC, Probst-Hensch NM, Kronenberg F, Tönjes A, Hayward C, Rampersaud E, Mitchell BD, Arking DE, Struchalin M, Cavalieri M, Singleton A, Giallauria F, Metter J, de Boer IH, Siscovick D, Zillikens MC, Feitosa M, Province M, de Andrade M, Turner ST, Wild PS, Schnabel RB, Wilde S, Munzel TF, Leak TS, Koenig W, Zgaga L, Zemunik T, Kolcic I, Minelli C, Hu FB, Johansson A, Igl W, Zaboli G, Wild SH, Wright AF, Campbell H, Ellinghaus D, Imboden M, Nitsch D, Brandstätter A, Kollerits B, Kedenko L, Mägi R, Stumvoll M, Kovacs P, Boban M, Campbell S, Endlich K, Völzke H, Kroemer HK, Nauck M, Völker U, Polasek O, Vitart V, Badola S, Parker AN, Ridker PM, Kardia SL, Curhan GC, Franke A, Rochat T, Paulweber B, Prokopenko I, Wang W, Coresh J, Schmidt R, Shlipak MG, Borecki I, Krämer BK, Rudan I, Gyllensten U, Wilson JF, Pramstaller PP, Rettig R, Hastie N, Chasman DI, Kao WH, Heid IM, Fox CS, Felix SB, Watzinger N, Homuth G, Aragam J, Dörr M, Zweiker R, Lind L, Rodeheffer RJ, Greiser KH, Deckers JW, Stritzke J, Lackner KJ, Ingelsson E, Kullo I, Haerting J, Reffelmann T, Redfield MM, Werdan K, Arnett DK, Blettner M, Friedrich N, Chambers JC, Zhang W, Lord GM, van der Harst P, Lawlor DA, Sehmi JS, Gale DP, Wass MN, Ahmadi KR, Bakker SJ, Beckmann J, Bilo HJ, Bochud M, Brown MJ, Caulfield MJ, Connell JM, Cook HT, Cotlarciuc I, Davey Smith G, de Silva R, Deng G, Devuyst O, Dikkeschei LD, Dimkovic N, Dockrell M, Dominiczak A, Ebrahim S, Eggermann T, Farrall M, Floege J, Forouhi NG, Gansevoort RT, Han X, Hedblad B, Homan van der Heide JJ, Hepkema BG, Hernandez-Fuentes M, Hypponen E, Johnson T, de Jong PE, Kleefstra N, Lagou V, Lapsley M, Li Y, Loos RJ, Luan J, Luttropp K, Maréchal C, Munroe PB, Nordfors L, Penninx BW, Perucha E, Pouta A, Roderick PJ, Ruokonen A, Schalling M, Schlessinger D, Schlieper G, Seelen MA, Sjögren M, Smit JH, Snieder H, Soranzo N, Spector TD, Stenvinkel P, Sternberg MJ, Swaminathan R, Ubink-Veltmaat LJ, Vollenweider P, Waterworth D, Zerres K, Waeber G, Wareham NJ, Maxwell PH, McCarthy MI, Jarvelin MR, Lightstone L, Scott J, Navis G, Elliott P, Kooner JS., Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Life Course Epidemiology (LCE), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), University of Leicester, Department of Genetics [Leicester], Erasmus University Rotterdam, Netherlands Genomics Initiative, Department of Epidemiology and Biostatistics, School of Public Health, Zahedan University of Medical Sciences, Washington University in Saint Louis (WUSTL), Queen Mary University of London (QMUL), National Heart, Lung and Blood Institute, Partenaires INRAE, Centre Hospitalier Universitaire Vaudois (CHUV), Université de Lausanne = University of Lausanne (UNIL), Department of Biostatistics [Oslo], Institute of Basic Medical Sciences [Oslo], Faculty of Medicine [Oslo], University of Oslo (UiO)-University of Oslo (UiO)-Faculty of Medicine [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Leiden University Medical Center (LUMC), Universiteit Leiden, Icelandic Heart Association, Heart Preventive Clinic and Research Institute, University of Iceland [Reykjavik], Johns Hopkins University, School of Medicine, Hôpitaux Universitaires de Genève (HUG), Department of Epidemiology, The Netherlands Cancer Institute, Department of Mathematics, Boston University [Boston] (BU), GlaxoSmithKline, Division of Community Health Sciences, St. George's, University of South Florida [Tampa] (USF), Universität Greifswald - University of Greifswald, University of Washington [Seattle], University of Tartu, Institute of Molecular and Cell Biology, Medical Research Council, Institut de Génomique, Centre National de Génotypage, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), University Medical Center Groningen, Department of Genetics, University Medical Center Groningen [Groningen] (UMCG), Universita Vita Salute San Raffaele = Vita-Salute San Raffaele University [Milan, Italie] (UniSR), Massachusetts General Hospital [Boston], Centro de Regulación Genómica (CRG), Universitat Pompeu Fabra [Barcelona] (UPF), Università degli studi di Trieste = University of Trieste, Universität zu Lübeck = University of Lübeck [Lübeck], Department of Biostatistics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, The University of Western Australia (UWA), Department of Twin Research and Genetic Epidemiology, King's College London, London, University of Oxford, Medical University Graz, National Institute on Aging, Centre for population Health Sciences, University of Edinburgh, Uppsala University, Vrije Universiteit Amsterdam [Amsterdam] (VU), Western General Hospital, Harvard Medical School [Boston] (HMS), Brigham and Women's Hospital [Boston], University of Michigan System, University of Groningen, Ealing Hospital, School of Public Health - Department of Epidemiology and Biostatistics, Imperial College London, Medical Genetics Institute, Cedars-Sinai Medical Center, University of Tampere, German Research Center for Environmental Health - Helmholtz Center München (GmbH), Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Split, The University of Texas Health Science Center at Houston (UTHealth), Johns Hopkins University (JHU), Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Swiss Institute of Bioinformatics [Lausanne] (SIB), Finnish Institute of Occupational Health, National Institute of Health and Welfare, University of Oulu, Lapland Central Hospital, University of Bristol [Bristol], Institute for Community Medicine, Unité de Recherche en Epidémiologie Nutritionnelle (UREN), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), US National Institutes of Health, National Heart, Lung, and Blood Institute, European, Epidemiology, Internal Medicine, Public Health, Clinical Genetics, Université de Lausanne (UNIL), LeidenUniversity Medical Centre, University of Iceland, Università degli studi di Trieste, Universität zu Lübeck [Lübeck], University of Western Australia, University of Oxford [Oxford], VU University Amsterdam, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Sorbonne Paris Cité (USPC)-Université Paris 13 (UP13)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut National de la Recherche Agronomique (INRA), Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), Human genetics, Psychiatry, EMGO - Mental health, NCA - Anxiety & Depression, Epidemiology and Data Science, Medical Research Council (MRC), Louise V., Wain, Germaine C., Verwoert, Paul F., O'Reilly, Gang, Shi, Toby, Johnson, Andrew D., Johnson, Murielle, Bochud, Kenneth M., Rice, Peter, Henneman, Albert V., Smith, Georg B., Ehret, Najaf, Amin, Martin G., Larson, Vincent, Mooser, David, Hadley, Marcus, Dörr, Joshua C., Bi, Thor, Aspelund, Tõnu, Esko, A. Cecile J. W., Janssen, Jing Hua, Zhao, Simon, Heath, Maris, Laan, Jingyuan, Fu, Giorgio, Pisti, Jian'An, Luan, Pankaj, Arora, Gavin, Luca, Pirastu, Nicola, Irene, Pichler, Anne U., Jackson, Rebecca J., Webster, Feng, Zhang, John F., Peden, Helena, Schmidt, Toshiko, Tanaka, Harry, Campbell, Wilmar, Igl, Yuri, Milaneschi, Jouke Jan, Hottenga, Veronique, Vitart, Daniel I., Chasman, Stella, Trompet, Jennifer L., Bragg Gresham, Behrooz Z., Alizadeh, John C., Chamber, Xiuqing, Guo, Terho, Lehtimäki, Brigitte, Kühnel, Lorna M., Lopez, Ozren, Polašek, Mladen, Boban, Christopher P., Nelson, Alanna C., Morrison, Vasyl, Pihur, Santhi K., Ganesh, Albert, Hofman, Suman, Kundu, Francesco U. S., Mattace Raso, Fernando, Rivadeneira, Eric J. G., Sijbrand, Andre G., Uitterlinden, Shih Jen, Hwang, Ramachandran S., Vasan, Thomas J., Wang, Sven, Bergmann, Peter, Vollenweider, Gérard, Waeber, Jaana, Laitinen, Anneli, Pouta, Paavo, Zitting, Wendy L., Mcardle, Heyo K., Kroemer, Uwe, Völker, Henry, Völzke, Nicole L., Glazer, Kent D., Taylor, Tamara B., Harri, Helene, Alavere, Toomas, Haller, Aime, Kei, Mari Liis, Tammesoo, Yurii, Aulchenko, Inês, Barroso, Kay Tee, Khaw, Pilar, Galan, Serge, Hercberg, Mark, Lathrop, Susana, Eyheramendy, Elin, Org, Siim, Sõber, Xiaowen, Lu, Ilja M., Nolte, Brenda W., Penninx, Tanguy, Corre, Corrado, Masciullo, Cinzia, Sala, Leif, Groop, Benjamin F., Voight, Olle, Melander, Christopher J., O'Donnell, Veikko, Salomaa, D'Adamo, ADAMO PIO, Antonella, Fabretto, Flavio, Faletra, Sheila, Ulivi, Fabiola Del Greco, M, Maurizio, Facheri, Francis S., Collin, Richard N., Bergman, John P., Beilby, Joseph, Hung, A., William Musk, Massimo, Mangino, So Youn, Shin, Nicole, Soranzo, Hugh, Watkin, Anuj, Goel, Anders, Hamsten, Pierre, Gider, Marisa, Loitfelder, Marion, Zeginigg, Dena, Hernandez, Samer S., Najjar, Pau, Navarro, Sarah H., Wild, Anna Maria, Corsi, Andrew, Singleton, Eco J. C., de Geu, Gonneke, Willemsen, Alex N., Parker, Lynda M., Rose, Brendan, Buckley, David, Stott, Marco, Orru, Manuela, Uda, Melanie M., van der Klauw, Weihua, Zhang, Xinzhong, Li, James, Scott, Yii Der Ida, Chen, Gregory L., Burke, Mika, Kähönen, Jorma, Viikari, Angela, Döring, Thomas, Meitinger, Gail, Davie, John M., Starr, Valur, Emilsson, Andrew, Plump, Jan H., Lindeman, Peter A. C., 't Hoen, Inke R., König, Janine F., Felix, Robert, Clarke, Jemma C., Hopewell, Halit, Ongen, Monique, Breteler, Stéphanie, Debette, Anita L., Destefano, Myriam, Fornage, Gary F., Mitchell, Nicholas L., Smith, Hilma, Holm, Kari, Stefansson, Gudmar, Thorleifsson, Unnur, Thorsteinsdottir, Nilesh J., Samani, Michael, Preu, Igor, Rudan, Caroline, Hayward, Ian J., Deary, H., Erich Wichmann, Olli T., Raitakari, Walter, Palma, Jaspal S., Kooner, Ronald P., Stolk, J., Wouter Jukema, Alan F., Wright, Dorret I., Boomsma, Stefania, Bandinelli, Ulf B., Gyllensten, James F., Wilson, Luigi, Ferrucci, Reinhold, Schmidt, Martin, Farrall, Tim D., Spector, Lyle J., Palmer, Jaakko, Tuomilehto, Arne, Pfeufer, Gasparini, Paolo, David, Siscovick, David, Altshuler, Ruth J. F., Loo, Daniela, Toniolo, Harold, Snieder, Christian, Gieger, Pierre, Meneton, Nicholas J., Wareham, Ben A., Oostra, Andres, Metspalu, Lenore, Launer, Rainer, Rettig, David P., Strachan, Jacques S., Beckmann, Jacqueline C. M., Witteman, Jeanette, Erdmann, Ko Willems van, Dijk, Eric, Boerwinkle, Michael, Boehnke, Paul M., Ridker, Marjo Riitta, Jarvelin, Aravinda, Chakravarti, Goncalo R., Abecasi, Vilmundur, Gudnason, Christopher Newton, Cheh, Daniel, Levy, Patricia B., Munroe, Bruce M., Psaty, Mark J., Caulfield, Dabeeru C., Rao, Martin D., Tobin, Paul, Elliott, Cornelia M., van Duijn, Biological Psychology, Neuroscience Campus Amsterdam - Anxiety & Depression, EMGO+ - Mental Health, Wain, Louise V., Verwoert, Germaine C., O'Reilly, Paul F., Shi, Gang, Johnson, Toby, Johnson, Andrew D., Bochud, Murielle, Rice, Kenneth M., Henneman, Peter, Smith, Albert V., Ehret, Georg B., Amin, Najaf, Larson, Martin G., Mooser, Vincent, Hadley, David, Dörr, Marcu, Bis, Joshua C, Aspelund, Thor, Esko, Tõnu, Janssens, A Cecile J. W., Zhao, Jing Hua, Heath, Simon, Laan, Mari, Fu, Jingyuan, Pistis, Giorgio, Luan, Jian'An, Arora, Pankaj, Lucas, Gavin, Pichler, Irene, Jackson, Anne U., Webster, Rebecca J., Zhang, Feng, Peden, John F., Schmidt, Helena, Tanaka, Toshiko, Campbell, Harry, Igl, Wilmar, Milaneschi, Yuri, Hottenga, Jouke-Jan, Vitart, Veronique, Chasman, Daniel I., Trompet, Stella, Bragg-Gresham, Jennifer L., Alizadeh, Behrooz Z., Chambers, John C., Guo, Xiuqing, Lehtimäki, Terho, Kühnel, Brigitte, Lopez, Lorna M., Polašek, Ozren, Boban, Mladen, Nelson, Christopher P., Morrison, Alanna C., Pihur, Vasyl, Ganesh, Santhi K., Hofman, Albert, Kundu, Suman, Mattace-Raso, Francesco U. S., Rivadeneira, Fernando, Sijbrands, Eric J. G., Uitterlinden, Andre G., Hwang, Shih-Jen, Vasan, Ramachandran S., Wang, Thomas J., Bergmann, Sven, Vollenweider, Peter, Waeber, Gérard, Laitinen, Jaana, Pouta, Anneli, Zitting, Paavo, Mcardle, Wendy L., Kroemer, Heyo K., Völker, Uwe, Völzke, Henry, Glazer, Nicole L., Taylor, Kent D., Harris, Tamara B., Alavere, Helene, Haller, Tooma, Keis, Aime, Tammesoo, Mari-Lii, Aulchenko, Yurii, Barroso, In S., Khaw, Kay-Tee, Galan, Pilar, Hercberg, Serge, Lathrop, Mark, Eyheramendy, Susana, Org, Elin, Sõber, Siim, Lu, Xiaowen, Nolte, Ilja M., Penninx, Brenda W., Corre, Tanguy, Masciullo, Corrado, Sala, Cinzia, Groop, Leif, Voight, Benjamin F, Melander, Olle, O'Donnell, Christopher J, Salomaa, Veikko, D'Adamo, Adamo Pio, Fabretto, Antonella, Faletra, Flavio, Ulivi, Sheila, Del Greco M, Fabiola, Facheris, Maurizio, Collins, Francis S., Bergman, Richard N., Beilby, John P., Hung, Joseph, Musk, A William, Mangino, Massimo, Shin, So-Youn, Soranzo, Nicole, Watkins, Hugh, Goel, Anuj, Hamsten, Ander, Gider, Pierre, Loitfelder, Marisa, Zeginigg, Marion, Hernandez, Dena, Najjar, Samer S., Navarro, Pau, Wild, Sarah H., Corsi, Anna Maria, Singleton, Andrew, De Geus, Eco J. C., Willemsen, Gonneke, Parker, Alex N., Rose, Lynda M., Buckley, Brendan, Stott, David, Orru, Marco, Uda, Manuela, Van Der Klauw, Melanie M., Zhang, Weihua, Li, Xinzhong, Scott, Jame, Chen, Yii-Der Ida, Burke, Gregory L, Kähönen, Mika, Viikari, Jorma, Döring, Angela, Meitinger, Thoma, Davies, Gail, Starr, John M., Emilsson, Valur, Plump, Andrew, Lindeman, Jan H., Hoen, Peter A. C. T., König, Inke R., Felix, Janine F., Clarke, Robert, Hopewell, Jemma C., Ongen, Halit, Breteler, Monique, Debette, Stéphanie, Destefano, Anita L., Fornage, Myriam, Mitchell, Gary F., Smith, Nicholas L., Holm, Hilma, Stefansson, Kari, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Samani, Nilesh J., Preuss, Michael, Rudan, Igor, Hayward, Caroline, Deary, Ian J., Wichmann, H-Erich, Raitakari, Olli T., Palmas, Walter, Kooner, Jaspal S., Stolk, Ronald P., Jukema, J Wouter, Wright, Alan F., Boomsma, Dorret I., Bandinelli, Stefania, Gyllensten, Ulf B., Wilson, James F., Ferrucci, Luigi, Schmidt, Reinhold, Farrall, Martin, Spector, Tim D., Palmer, Lyle J., Tuomilehto, Jaakko, Pfeufer, Arne, Siscovick, David, Altshuler, David, Loos, Ruth J. F., Toniolo, Daniela, Snieder, Harold, Gieger, Christian, Meneton, Pierre, Wareham, Nicholas J., Oostra, Ben A., Metspalu, Andre, Launer, Lenore, Rettig, Rainer, Strachan, David P., Beckmann, Jacques S., Witteman, Jacqueline C. M., Erdmann, Jeanette, Van Dijk, Ko Willem, Boerwinkle, Eric, Boehnke, Michael, Ridker, Paul M., Jarvelin, Marjo-Riitta, Chakravarti, Aravinda, Abecasis, Goncalo R., Gudnason, Vilmundur, Newton-Cheh, Christopher, Levy, Daniel, Munroe, Patricia B., Psaty, Bruce M., Caulfield, Mark J., Rao, Dabeeru C., Tobin, Martin D., Elliott, Paul, Van, Duijn, Cornelia M., McEniery CM, Wilkinson, Ib, Cockcroft, Jr, O'Shaughnessy, Km, Newhouse, Sj, Yasmin, Smith, Av, Eiriksdottir, G, Launer, Lj, Sigurdsson, S, Aspelund, T, Gudnason, V, De Bacquer, D, Rietzschel, Er, De Backer, Gg, Van Bortel, L, De Buyzere, Ml, Segers, P, Bekaert, S, Gillebert, Tc, De Meyer, T, Ferrucci, L, Tanaka, T, Johnson, Ad, Levy, D, Benjamin, Ej, Mitchell, Gf, Vita, Ja, Larson, Mg, Hamburg, Nm, Vasan, R, Isaacs, A, Schut, Af, Oostra, Ba, van Duijn, Cm, van Rijn, Mj, Sie, Mp, Newman, Ab, Herrington, Dm, Andrews, J, Ding, J, Sutton-Tyrrell, Kc, Harris, Tb, Howard, Td, Liu, Y, Parsa, A, Shuldiner, Ar, Mcardle, Pf, Gibson, Q, Post, W, Dehghan, A, Hofman, A, Uitterlinden, Ag, Sijbrands, Ej, Rivadeneira, F, Mattace-Raso, Fu, Verwoert, Gc, Witteman, Jc, Scuteri, A, Lakatta, Eg, Jewell, E, Abecasis, Gr, Tarasov, Kv, Uda, M, Najjar, S, Sanna, S, Attwood, T, Belz, S, Braund, P, Cambien, F, Cooper, J, Crisp-Hihn, A, Deloukas, P, Foad, N, Eardman, J, Goodall, Ah, Gracey, J, Gray, E, Gulde, S, Gwilliams, R, Heimerl, S, Hengstenberg, C, Jolley, J, Krishnan, U, Linsel-Nitschke, P, Lloyd-Jones, H, Lugauer, I, Lundmark, P, Maouche, S, Moore, J, Muir, D, Murray, E, Nelson, Cp, Neudert, J, Niblett, D, O'Leary, K, Ouwehand, Wh, Pollard, H, Rankin, A, Rice, Cm, Sager, H, Samani, Nj, Sambrook, J, Schmitz, G, Scholz, M, Schroeder, L, Schunkert, H, Syvannen, Ac, Wallace, C, Kathiresan, S, Reilly, Mp, Erdmann, J, Assimes, Tl, Boerwinkle, E, Hall, A, König, Ir, Laaksonen, R, Mcpherson, R, Thompson, Jr, Thorsteinsdottir, U, Ziegler, A, Absher, D, Chen, L, Cupples, La, Halperin, E, Li, M, Musunuru, K, Preuss, M, Schillert, A, Thorleifsson, G, Voight, Bf, Wells, Ga, Assime, Tl, Holm, H, Roberts, R, Stewart, Af, Fortmann, S, Go, A, Hlatky, M, Iribarren, C, Knowles, J, Myers, R, Quertermous, T, Sidney, S, Risch, N, Tang, H, Blankenberg, S, Zeller, T, Wild, P, Schnabel, R, Sinning, C, Lackner, K, Tiret, L, Nicaud, V, Bickel, C, Rupprecht, Hj, Perret, C, Proust, C, Münzel, T, Barbalic, M, Bis, J, Chen, Iy, Cupples, L, Demissie-Banjaw, S, Folsom, A, Glazer, N, Harris, T, Heckbert, S, Lumley, T, Marciante, K, Morrison, A, O' Donnell, Cj, Psaty, Bm, Rice, K, Rotter, Ji, Siscovick, D, Smith, N, Smith, A, Taylor, Kd, van Duijn, C, Volcik, K, Whitteman, J, Ramachandran, V, Uitterlinden, A, Gretarsdottir, S, Gulcher, Jr, Kong, A, Stefansson, K, Thorgeirsson, G, Andersen, K, Fischer, M, Grosshennig, A, Lieb, W, Stark, K, Schreiber, S, Wichmann, He, Aherrahrou, Z, Bruse, P, Doering, A, Illig, T, Klopp, N, Loley, C, Medack, A, Meisinger, C, Meitinger, T, Nahrstedt, J, Peters, A, Wagner, Ak, Willenborg, C, Böhm, Bo, Dobnig, H, Grammer, Tb, Hoffmann, Mm, Kleber, M, März, W, Meinitzer, A, Winkelmann, Br, Pilz, S, Renner, W, Scharnagl, H, Stojakovic, T, Tomaschitz, A, Winkler, K, Guiducci, C, Burtt, N, Gabriel, Sb, O'Donnell, Cj, Elosua, R, Peltonen, L, Salomaa, V, Schwartz, Sm, Melander, O, Altshuler, D, Dandona, S, Jarinova, O, Qu, L, Wilensky, R, Matthai, W, Hakonarson, Hh, Devaney, J, Burnett, M, Pichard, Ad, Kent, Km, Satler, L, Lindsay, Jm, Waksman, R, Knouff, Cw, Waterworth, Dm, Walker, Mc, Mooser, V, Epstein, Se, Rader, Dj, Wright, Bj, Balmforth, Aj, Ball, Sg, Smith, Nl, Felix, Jf, Morrison, Ac, Demissie, S, Glazer, Nl, Loehr, Lr, Rosamond, Wd, Bis, Jc, Folsom, Ar, Benjamin, E, Aulchenko, Y, Haritunians, T, Couper, D, Murabito, J, Yang, Ya, Stricker, Bh, Gottdiener, J, Chang, Pp, Wang, Tj, Rice, Km, Heckbert, Sr, Fox, Er, Willerson, Jt, Köttgen, A, Pattaro, C, Böger, Ca, Fuchsberger, C, Olden, M, Gao, X, Yang, Q, O'Connell, Jr, Schmidt, H, Ketkar, S, Hwang, Sj, Teumer, A, Paré, G, Atkinson, Ej, Lohman, K, Cornelis, Mc, Probst-Hensch, Nm, Kronenberg, F, Tönjes, A, Hayward, C, Rampersaud, E, Mitchell, Bd, Arking, De, Struchalin, M, Cavalieri, M, Singleton, A, Giallauria, F, Metter, J, de Boer, Ih, Zillikens, Mc, Feitosa, M, Province, M, de Andrade, M, Turner, St, Schnabel, Rb, Wilde, S, Munzel, Tf, Leak, T, Koenig, W, Zgaga, L, Zemunik, T, Kolcic, I, Minelli, C, Hu, Fb, Johansson, A, Igl, W, Zaboli, G, Wild, Sh, Wright, Af, Campbell, H, Ellinghaus, D, Imboden, M, Nitsch, D, Brandstätter, A, Kollerits, B, Kedenko, L, Mägi, R, Stumvoll, M, Kovacs, P, Boban, M, Campbell, S, Endlich, K, Völzke, H, Kroemer, Hk, Nauck, M, Völker, U, Polasek, O, Vitart, V, Badola, S, Parker, An, Ridker, Pm, Kardia, Sl, Curhan, Gc, Franke, A, Rochat, T, Paulweber, B, Prokopenko, I, Wang, W, Coresh, J, Schmidt, R, Shlipak, Mg, Borecki, I, Krämer, Bk, Rudan, I, Gyllensten, U, Wilson, Jf, Pramstaller, Pp, Rettig, R, Hastie, N, Chasman, Di, Kao, Wh, Heid, Im, Fox, C, Felix, Sb, Watzinger, N, Homuth, G, Aragam, J, Dörr, M, Zweiker, R, Lind, L, Rodeheffer, Rj, Greiser, Kh, Deckers, Jw, Stritzke, J, Lackner, Kj, Ingelsson, E, Kullo, I, Haerting, J, Reffelmann, T, Redfield, Mm, Werdan, K, Arnett, Dk, Blettner, M, Friedrich, N, Chambers, Jc, Zhang, W, Lord, Gm, van der Harst, P, Lawlor, Da, Sehmi, J, Gale, Dp, Wass, Mn, Ahmadi, Kr, Bakker, Sj, Beckmann, J, Bilo, Hj, Bochud, M, Brown, Mj, Caulfield, Mj, Connell, Jm, Cook, Ht, Cotlarciuc, I, Davey Smith, G, de Silva, R, Deng, G, Devuyst, O, Dikkeschei, Ld, Dimkovic, N, Dockrell, M, Dominiczak, A, Ebrahim, S, Eggermann, T, Farrall, M, Floege, J, Forouhi, Ng, Gansevoort, Rt, Han, X, Hedblad, B, Homan van der Heide, Jj, Hepkema, Bg, Hernandez-Fuentes, M, Hypponen, E, Johnson, T, de Jong, Pe, Kleefstra, N, Lagou, V, Lapsley, M, Li, Y, Loos, Rj, Luan, J, Luttropp, K, Maréchal, C, Munroe, Pb, Nordfors, L, Penninx, Bw, Perucha, E, Pouta, A, Roderick, Pj, Ruokonen, A, Schalling, M, Schlessinger, D, Schlieper, G, Seelen, Ma, Sjögren, M, Smit, Jh, Snieder, H, Soranzo, N, Spector, Td, Stenvinkel, P, Sternberg, Mj, Swaminathan, R, Ubink-Veltmaat, Lj, Vollenweider, P, Waterworth, D, Zerres, K, Waeber, G, Wareham, Nj, Maxwell, Ph, Mccarthy, Mi, Jarvelin, Mr, Lightstone, L, Scott, J, Navis, G, Elliott, P, and Kooner, Js.

Subjects
Netherlands Twin Register (NTR), Linkage disequilibrium, pulse pressure, mean arterial pressure, genome-wide, [SDV]Life Sciences [q-bio], Genome-wide association study, BLOOD-PRESSURE, Blood Pressure, 030204 cardiovascular system & hematology, Linkage Disequilibrium, 0302 clinical medicine, RELEVANCE, CardioGram, Medicine and Health Sciences, Genetics & Heredity, ddc:616, Genetics, 0303 health sciences, Genome-wide association, 11 Medical And Health Sciences, Arteries, ADRENERGIC-RECEPTOR TRAFFICKING, Pulse pressure, EchoGen consortium, Hypertension, HEART-FAILURE, arterial pressure, Case-Control Studie, Life Sciences & Biomedicine, Human, circulatory and respiratory physiology, medicine.medical_specialty, Mean arterial pressure, Arterie, AortaGen Consortium, Cardiogenics consortium, Locus (genetics), Biology, Polymorphism, Single Nucleotide, Article, Follow-Up Studie, 03 medical and health sciences, Internal medicine, medicine, Humans, cardiovascular diseases, METAANALYSIS, 030304 developmental biology, Genetic association, Science & Technology, HYPERTENSION, MORTALITY, Case-control study, CARDIOVASCULAR-DISEASE RISK, 06 Biological Sciences, GENE, MICE, Endocrinology, Blood pressure, CKDGen consortium, Genetic Loci, Case-Control Studies, KidneyGen consortium, CHARGE Consortium Heart Failure Working Group, LifeLines Cohort Study, Developmental Biology, Follow-Up Studies, Genome-Wide Association Study
Abstract

Les affiliations des 100 premiers auteurs sont renseignées dans la notice. Les affiliations des autres auteurs sont disponibles à la fin de la publication.; International audience; Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans(1-3). We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we identified at genome-wide significance (P = 2.7 x 10(-8) to P = 2.3 x 10(-13)) four new PP loci (at 4q12 near CHIC2, 7q22.3 near PIK3CG, 8q24.12 in NOV and 11q24.3 near ADAMTS8), two new MAP loci (3p21.31 in MAP4 and 10q25.3 near ADRB1) and one locus associated with both of these traits (2q24.3 near FIGN) that has also recently been associated with SBP in east Asians. For three of the new PP loci, the estimated effect for SBP was opposite of that for DBP, in contrast to the majority of common SBP- and DBP-associated variants, which show concordant effects on both traits. These findings suggest new genetic pathways underlying blood pressure variation, some of which may differentially influence SBP and DBP.

Published
2016

43. Large-scale gene-centric analysis identifies novel variants for coronary artery disease

Author

Butterworth, As, Braund, Ps, Farrall, M, Hardwick, Rj, Saleheen, D, Peden, Jf, Soranzo, N, Chambers, Jc, Sivapalaratnam, S, Kleber, Me, Keating, B, Qasim, A, Klopp, N, Erdmann, J, Assimes, Tl, Ball, Sg, Balmforth, Aj, Barnes, Ta, Basart, H, Baumert, J, Bezzina, Cr, Boerwinkle, E, Boehm, Bo, Brocheton, J, Bugert, P, Cambien, F, Clarke, R, Codd, V, Collins, R, Couper, D, Cupples, La, de Jong JS, Diemert, P, Ejebe, K, Elbers, Cc, Elliott, P, Fornage, M, Franzosi, Mg, Frossard, P, Garner, S, Goel, A, Goodall, Ah, Hengstenberg, C, Hunt, Se, Kastelein, Jj, Klungel, Oh, Klüter, H, Koch, K, König, Ir, Kooner, As, Laaksonen, R, Lathrop, M, Li, M, Liu, K, Mcpherson, R, Musameh, Md, Musani, S, Nelson, Cp, O'Donnell, Cj, Ongen, H, Papanicolaou, G, Peters, A, Peters, Bj, Potter, S, Psaty, Bm, Qu, L, Rader, Dj, Rasheed, A, Rice, C, Scott, J, Seedorf, U, Sehmi, Js, Sotoodehnia, N, Stark, K, Stephens, J, van der Schoot CE, van der Schouw YT, Thorsteinsdottir, U, Tomaszewski, M, van der Harst, P, Vasan, Rs, Wilde, Aa, Willenborg, C, Winkelmann, Br, Zaidi, M, Zhang, W, Ziegler, A, de Bakker PI, Koenig, W, Mätz, W, Trip, Md, Reilly, Mp, Kathiresan, S, Schunkert, H, Hamsten, A, Hall, As, Kooner, Js, Thompson, Sg, Thompson, Jr, Deloukas, P, Ouwehand, Wh, Watkins, H, Danesh, J, Samani, Nj, Barnes, T, Rafelt, S, Bruinsma, N, Dekker, Lr, Henriques, Jp, Koch, Kt, de Winter RJ, Alings, M, Allaart, Cf, Gorgels, Ap, Verheugt, Fw, Mueller, M, Meisinger, C, Derohannessian, S, Mehta, Nn, Ferguson, J, Hakonarson, H, Matthai, W, Wilensky, R, Hopewell, Jc, Parish, S, Linksted, P, Notman, J, Gonzalez, H, Young, A, Ostley, T, Munday, A, Goodwin, N, Verdon, V, Shah, S, Cobb, L, Edwards, C, Mathews, C, Gunter, R, Benham, J, Davies, C, Cobb, M, Crowther, J, Richards, A, Silver, M, Tochlin, S, Mozley, S, Clark, S, Radley, M, Kourellias, K, Silveira, A, Söderholm, B, Olsson, P, Barlera, S, Tognoni, G, Rust, S, Assmann, G, Heath, S, Zelenika, D, Gut, I, Green, F, Peden, J, Aly, A, Anner, K, Björklund, K, Blomgren, G, Cederschiöld, B, Danell Toverud, K, Eriksson, P, Grundstedt, U, Heinonen, M, Hellénius, Ml, van't Hooft, F, Husman, K, Lagercrantz, J, Larsson, A, Larsson, M, Mossfeldt, M, Mälarstig, A, Olsson, G, Sabater Lleal, M, Sennblad, B, Strawbridge, R, Öhrvik, J, Zaman, Ks, Mallick, Nh, Azhar, M, Samad, A, Ishaq, M, Shah, N, Samuel, M, Reilly, M, Holm, H, Preuss, M, Stewart, Af, Barbalic, M, Gieger, C, Absher, D, Aherrahrou, Z, Allayee, H, Altshuler, D, Anand, S, Andersen, K, Anderson, Jl, Ardissino, D, Becker, Lc, Becker, Dm, Berger, K, Bis, Jc, Boekholdt, Sm, Brown, Mj, Burnett, Ms, Buysschaert, I, Carlquist, Jf, Chen, L, Davies, Rw, Dedoussis, G, Dehghan, A, Demissie, S, Devaney, J, Do, R, Doering, A, El Mokhtari NE, Ellis, Sg, Elosua, R, Engert, Jc, Epstein, S, de Faire, U, Fischer, M, Folsom, Ar, Freyer, J, Gigante, B, Girelli, D, Gretarsdottir, S, Gudnason, V, Gulcher, Jr, Tennstedt, S, Halperin, E, Hammond, N, Hazen, Sl, Hofman, A, Horne, Bd, Illig, T, Iribarren, C, Jones, Gt, Jukema, Jw, Kaiser, Ma, Kaplan, Lm, Khaw, Kt, Knowles, Jw, Kolovou, G, Kong, A, Lambrechts, D, Leander, K, Lieb, W, Lettre, G, Loley, C, Lotery, Aj, Mannucci, Pm, Maouche, S, Martinelli, Nicola, Mckeown, Pp, Meitinger, T, Melander, O, Merlini, Pa, Mooser, V, Morgan, T, Mühleisen, Tw, Muhlestein, Jb, Musunuru, K, Nahrstaedt, J, Nöthen, Mm, Olivieri, Oliviero, Peyvandi, F, Patel, Rs, Patterson, Cc, Quyyumi, Aa, Rallidis, Ls, Roosendaal, Fr, Rubin, D, Salomaa, V, Sampietro, Ml, Sandhu, Ms, Schadt, E, Schäfer, A, Schillert, A, Schreiber, S, Schrezenmeir, J, Schwartz, Sm, Siscovick, Ds, Sivananthan, M, Smith, Av, Smith, Tb, Snoep, Jd, Spertus, Ja, Stefansson, K, Stirrups, K, Stoll, M, Tang, Wh, Thorgeirsson, G, Thorleifsson, G, Uitterlinden, Ag, van Rij AM, Voight, Bf, Wareham, Nj, Awells, G, Wichmann, He, Witteman, Jc, Wright, Bj, Ye, S, Quertermous, T, März, W, Blankenberg, S, Roberts, R, Onland Moret NC, van Setten, J, Verschuren, Wm, Boer, Jm, Wijmenga, C, Hofker, Mh, Maitland van der Zee AH, de Boer, A, Grobbee, De, Attwood, T, Belz, S, Braund, P, Cooper, J, Crisp Hihn, A, Foad, N, Gracey, J, Gray, E, Gwilliams, R, Heimerl, S, Jolley, J, Krishnan, U, Lloyd Jones, H, Lugauer, I, Lundmark, P, Moore, Js, Muir, D, Murray, E, Neudert, J, Niblett, D, O'Leary, K, Pollard, H, Rankin, A, Rice, Cm, Sager, H, Sambrook, J, Schmitz, G, Scholz, M, Schroeder, L, Syvannen, Ac, Wallace, C., Cardiologie, RS: CAPHRI School for Public Health and Primary Care, Vascular Medicine, Other departments, ACS - Amsterdam Cardiovascular Sciences, Cardiology, Landsteiner Laboratory, Clinical Haematology, Pulmonology, and Medical Research Council (MRC)

Subjects
Male, Cancer Research, Candidate gene, Epidemiology, Genome-wide association study, Coronary Artery Disease, 030204 cardiovascular system & hematology, Cardiovascular, 0302 clinical medicine, GENETICS & HEREDITY, Genetics (clinical), Genetics, 0303 health sciences, Cardiovascular diseases [NCEBP 14], Middle Aged, 3. Good health, CYP17A1, Genetic Epidemiology, Genome-wide association, Myocardial-infarction, Susceptibility loci, Risk, Atherosclerosis, Metanalysis, Lipoprotein, Medicine, Female, Life Sciences & Biomedicine, Research Article, Asian Continental Ancestry Group, Adult, SUSCEPTIBILITY LOCI, lcsh:QH426-470, European Continental Ancestry Group, Biology, Polymorphism, Single Nucleotide, coronary artery disease, genetics, White People, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Asian People, Genetic variation, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Allele, Molecular Biology, Gene, METAANALYSIS, Ecology, Evolution, Behavior and Systematics, Genetic Association Studies, Cardiovascular Disease Epidemiology, Alleles, 030304 developmental biology, Aged, 0604 Genetics, Science & Technology, Case-control study, Genetic Variation, Human Genetics, Odds ratio, large-scale gene analysis, lcsh:Genetics, LIPOPROTEIN, MYOCARDIAL-INFARCTION, ATHEROSCLEROSIS, Case-Control Studies, Genetics of Disease, IBC 50K CAD Consortium, Developmental Biology, Genome-Wide Association Study
Abstract

Coronary artery disease (CAD) has a significant genetic contribution that is incompletely characterized. To complement genome-wide association (GWA) studies, we conducted a large and systematic candidate gene study of CAD susceptibility, including analysis of many uncommon and functional variants. We examined 49,094 genetic variants in ∼2,100 genes of cardiovascular relevance, using a customised gene array in 15,596 CAD cases and 34,992 controls (11,202 cases and 30,733 controls of European descent; 4,394 cases and 4,259 controls of South Asian origin). We attempted to replicate putative novel associations in an additional 17,121 CAD cases and 40,473 controls. Potential mechanisms through which the novel variants could affect CAD risk were explored through association tests with vascular risk factors and gene expression. We confirmed associations of several previously known CAD susceptibility loci (eg, 9p21.3:p, Author Summary Coronary artery disease (CAD) has a strong genetic basis that remains poorly characterised. Using a custom-designed array, we tested the association with CAD of almost 50,000 common and low frequency variants in ∼2,000 genes of known or suspected cardiovascular relevance. We genotyped the array in 15,596 CAD cases and 34,992 controls (11,202 cases and 30,733 controls of European descent; 4,394 cases and 4,259 controls of South Asian origin) and attempted to replicate putative novel associations in an additional 17,121 CAD cases and 40,473 controls. We report the novel association of variants in or near four genes with CAD and in additional studies identify potential mechanisms by which some of these novel variants affect CAD risk. Interestingly, we found that these variants, as well as the majority of previously reported CAD variants, have similar associations in Europeans and South Asians. Contrary to prior expectations, many previously suggested candidate genes did not show evidence of any effect on CAD risk, and neither did we identify any novel low frequency alleles with strong effects amongst the genes tested. Discovery of novel genes associated with heart disease may help to further understand the aetiology of cardiovascular disease and identify new targets for therapeutic interventions.

Published
2016

44. Phenotypic Characterization of Genetically Lowered Human Lipoprotein(a) Levels

Author

Emdin, CA, Khera, AV, Natarajan, P, Klarin, D, Won, HH, Peloso, GM, Stitziel, NO, Nomura, A, Zekavat, SM, Bick, AG, Gupta, N, Asselta, R, Duga, S, Merlini, PA, Correa, A, Kessler, T, Wilson, JG, Bown, MJ, Hall, AS, Braund, PS, Samani, NJ, Schunkert, H, Marrugat, J, Elosua, R, McPherson, R, Farrall, M, Watkins, H, Willer, C, Abecasis, GR, Felix, JF, Vasan, RS, Lander, E, Rader, DJ, Danesh, J, Ardissino, D, Gabriel, S, Saleheen, D, Kathiresan, S, CHARGE–Heart Failure Consortium, CARDIoGRAM Exome Consortium, and Epidemiology

Subjects
0301 basic medicine, Oncology, Male, medicine.medical_specialty, Genome-wide association study, Single-nucleotide polymorphism, Coronary Disease, Type 2 diabetes, 030204 cardiovascular system & hematology, Lower risk, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, medicine, Humans, Genetics, biology, business.industry, Odds ratio, Lipoprotein(a), DNA, Genetic Therapy, medicine.disease, Prognosis, 030104 developmental biology, Phenotype, Heart failure, biology.protein, Biomarker (medicine), Female, Cardiology and Cardiovascular Medicine, business, Biomarkers, Genome-Wide Association Study
Abstract

Background Genomic analyses have suggested that the LPA gene and its associated plasma biomarker, lipoprotein(a) (Lp[a]), represent a causal risk factor for coronary heart disease (CHD). As such, lowering Lp(a) levels has emerged as a therapeutic strategy. Beyond target identification, human genetics may contribute to the development of new therapies by defining the full spectrum of beneficial and adverse consequences and by developing a dose–response curve of target perturbation. Objectives The goal of this study was to establish the full phenotypic impact of LPA gene variation and to estimate a dose–response curve between genetically altered plasma Lp(a) and risk for CHD. Methods We leveraged genetic variants at the LPA gene from 3 data sources: individual-level data from 112,338 participants in the U.K. Biobank; summary association results from large-scale genome-wide association studies; and LPA gene sequencing results from case subjects with CHD and control subjects free of CHD. Results One SD genetically lowered Lp(a) level was associated with a 29% lower risk of CHD (odds ratio [OR]: 0.71; 95% confidence interval [CI]: 0.69 to 0.73), a 31% lower risk of peripheral vascular disease (OR: 0.69; 95% CI: 0.59 to 0.80), a 13% lower risk of stroke (OR: 0.87; 95% CI: 0.79 to 0.96), a 17% lower risk of heart failure (OR: 0.83; 95% CI: 0.73 to 0.94), and a 37% lower risk of aortic stenosis (OR: 0.63; 95% CI: 0.47 to 0.83). We observed no association with 31 other disorders, including type 2 diabetes and cancer. Variants that led to gain of LPA gene function increased the risk for CHD, whereas those that led to loss of gene function reduced the CHD risk. Conclusions Beyond CHD, genetically lowered Lp(a) levels are associated with a lower risk of peripheral vascular disease, stroke, heart failure, and aortic stenosis. As such, pharmacological lowering of plasma Lp(a) may influence a range of atherosclerosis-related diseases.

Published
2016

45. Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on individual participant data

Author

Wensley, F, Gao, P, Burgess, S, Kaptoge, S, Di Angelantonio, E, Shah, T, Engert, JC, Clarke, R, Davey-Smith, G, Nordestgaard, BG, Saleheen, D, Samani, NJ, Sandhu, M, Anand, S, Pepys, MB, Smeeth, L, Whittaker, J, Casas, JP, Thompson, SG, Hingorani, AD, Danesh, J, Eiriksdottir, G, Harris, TB, Launer, LJ, Gudnason, V, Folsom, AR, Andrews, G, Ballantyne, CM, Hall, AS, Braund, PS, Balmforth, AJ, Whincup, PH, Morris, R, Lawlor, DA, Lowe, GDO, Timpson, N, Ebrahim, S, Ben-Shlomo, Y, Tybjaerg-Hansen, A, Zacho, J, Brown, M, Ricketts, SL, Ashford, S, Lange, L, Reiner, A, Cushman, M, Tracy, R, Wu, C, Ge, J, Zou, Y, Sun, A, Hung, J, McQuillan, B, Thompson, P, Beilby, J, Warrington, N, Palmer, LJ, Wanner, C, Drechsler, C, Hoffmann, MM, Fowkes, FGR, Tzoulaki, I, Kumari, M, Miller, M, Marmot, M, Onland-Moret, C, van der Schouw, YT, Boer, JM, Wijmenga, C, Khaw, K-T, Vasan, RS, Schnabel, RB, Yamamoto, JF, Benjamin, EJ, Schunkert, H, Erdmann, J, Koenig, IR, Hengstenberg, C, Chiodini, B, Franzosi, MG, Pietri, S, Gori, F, Rudock, M, Liu, Y, Lohman, K, Humphries, SE, Hamsten, A, Norman, PE, Hankey, GJ, Jamrozik, K, Rimm, EB, Pai, JK, Psaty, BM, Heckbert, SR, Bis, JC, Yusuf, S, Xie, C, Collins, R, Bennett, D, Kooner, J, Chambers, J, Elliott, P, Maerz, W, Kleber, ME, Boehm, BO, Winkelmann, BR, Melander, O, Berglund, G, Koenig, W, Thorand, B, Baumert, J, Peters, A, Manson, J, Cooper, JA, Talmud, PJ, Ladenvall, P, Johansson, L, Jansson, J-H, Hallmans, G, Reilly, MP, Qu, L, Li, M, Rader, DJ, Watkins, H, Hopewell, J, Frossard, P, Sattar, N, Robertson, M, Shepherd, J, Schaefer, E, Hofman, A, Witteman, JCM, Kardys, I, Dehghan, A, de Faire, U, Bennet, A, Gigante, B, Leander, K, Peters, B, Maitland-van der Zee, AH, de Boer, A, Klungel, O, Greenland, P, Dai, J, Liu, S, Brunner, E, Kivimaki, M, O'Reilly, D, Ford, I, Packard, CJ, Dis, CRPCH, CIHDS, CC, CUPID, C, Medical Research Council (MRC), University of Groningen, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Pulmonology, and Coronel Institute of Occupational Health

Subjects
Male, Coronary Disease, Bioinformatics, Gene Frequency, MARKERS, Polymorphism (computer science), Risk Factors, Myocardial infarction, Prospective Studies, Prospective cohort study, General Environmental Science, Genetics, RISK, biology, General Engineering, Mendelian Randomization Analysis, General Medicine, Middle Aged, C-Reactive Protein, 1117 Public Health And Health Services, CARDIOVASCULAR-DISEASE, Meta-analysis, symbols, Female, Life Sciences & Biomedicine, Ischaemic Heart Disease, Polymorphism, Single Nucleotide, Molecular Genetics, symbols.namesake, Medicine, General & Internal, INFLAMMATION, Drugs: Cardiovascular System, General & Internal Medicine, medicine, INSTRUMENTAL VARIABLES, Humans, C Reactive Protein Coronary Heart Disease Genetics Collaboration (CCGC), Allele frequency, METAANALYSIS, POLYMORPHISMS, Science & Technology, business.industry, Research, C-reactive protein, medicine.disease, GENE, MYOCARDIAL-INFARCTION, ATHEROSCLEROSIS, Mendelian inheritance, biology.protein, General Earth and Planetary Sciences, business
Abstract

Objective To use genetic variants as unconfounded proxies of C reactive protein concentration to study its causal role in coronary heart disease. Design Mendelian randomisation meta-analysis of individual participant data from 47 epidemiological studies in 15 countries. Participants 194 418 participants, including 46 557 patients with prevalent or incident coronary heart disease. Information was available on four CRP gene tagging single nucleotide polymorphisms (rs3093077, rs1205, rs1130864, rs1800947), concentration of C reactive protein, and levels of other risk factors. Main outcome measures Risk ratios for coronary heart disease associated with genetically raised C reactive protein versus risk ratios with equivalent differences in C reactive protein concentration itself, adjusted for conventional risk factors and variability in risk factor levels within individuals. Results CRP variants were each associated with up to 30% per allele difference in concentration of C reactive protein (P

Published
2011

46. Triglyceride-mediated pathways and coronary disease: collaborative analysis of 101 studies

Author

Triglyceride Coronary Disease Genetics Consortium, Emerging Risk Factors Collaboration, Sarwar, N, Sandhu, Ms, Ricketts, Sl, Butterworth, As, Di Angelantonio, E, Boekholdt, Sm, Ouwehand, W, Watkins, H, Samani, Nj, Saleheen, D, Lawlor, D, Reilly, Mp, Hingorani, Ad, Talmud, Pj, Collaborators: Braund PS, Danesh J., Hall, As, Thompson, J, März, W, Sivapalaratnam, S, Soranzo, N, Trip, M, Lawlor, Da, Casas, Jp, Ebrahim, S, Arsenault, Bj, Khaw, Kt, Wareham, Nj, Grallert, H, Illig, T, Humphries, Se, Talmud, T, Rader, Dj, He, J, Clarke, R, Hamsten, A, Hopewell, Jc, Frossard, P, Deloukas, P, Danesh, J, Ye, S, Simpson, Ia, Onat, A, Kömürcü Bayrak, E, Martinelli, Nicola, Olivieri, Oliviero, Girelli, Domenico, Kivimäki, M, Kumari, M, Aouizerat, Be, Baum, L, Campos, H, Chaaba, R, Chen, Bs, Cho, Ey, Evans, D, Hill, J, Hsu, La, Hubacek, Ja, Lai, Cq, Lee, Jh, Klos, K, Liu, H, Masana, L, Melegh, B, Nabika, T, Ribalta, J, Ruiz Narvaez, E, Thomas, Gn, Tomlinson, B, Szalai, C, Vaverkova, H, Yamada, Y, Yang, Y, Tipping, Rw, Ford, Ce, Pressel, Sl, Ballantyne, C, Brautbar, A, Knuiman, M, Whincup, Ph, Wannamethee, Sg, Morris, Rw, Kiechl, S, Willeit, J, Santer, P, Mayr, A, Wald, N, Yarnell, Jw, Gallacher, J, Casiglia, E, Tikhonoff, V, Cushman, M, Psaty, Bm, Tracy, Rp, Tybjaerg Hansen, A, Nordestgaard, Bg, Benn, M, Frikke Schmidt, R, Giampaoli, S, Palmieri, L, Panico, S, Vanuzzo, D, Pilotto, L, de la Cámara AG, Gómez Gerique JA, Simons, L, Mccallum, J, Friedlander, Y, Fowkes, Fg, Lee, Aj, Taylor, J, Guralnik, Jm, Phillips, Cl, Wallace, R, Blazer, Dg, Brenner, H, Raum, E, Müller, H, Rothenbacher, D, Jansson, Jh, Wennberg, P, Nissinen, A, Donfrancesco, C, Salomaa, V, Harald, K, Jousilahti, P, Vartiainen, E, D'Agostino, Rb, Vasan, Rs, Pencina, Mj, Bladbjerg, Em, Jørgensen, T, Møller, L, Jespersen, J, Dankner, R, Chetrit, A, Lubin, F, Björkelund, C, Lissner, L, Bengtsson, C, Cremer, P, Nagel, D, Rodriguez, B, Dekker, Jm, Nijpels, G, Stehouwer, Cd, Sato, S, Iso, H, Kitamura, A, Noda, H, Salonen, Jt, Nyyssönen, K, Tuomainen, Tp, Voutilainen, S, Meade, Tw, Cooper, Ja, Kuller, Lh, Grandits, G, Gillum, R, Mussolino, M, Rimm, E, Hankinson, S, Manson, Ja, Pai, Jk, Bauer, Ka, Naito, Y, Amouyel, P, Arveiler, D, Evans, A, Ferrières, J, Schulte, H, Assmann, G, Packard, Cj, Sattar, N, Westendorp, Rg, Buckley, Bm, Cantin, B, Lamarche, B, Després, Jp, Dagenais, Gr, Barrett Connor, E, Wingard, Dl, Bettencourt, R, Gudnason, V, Aspelund, T, Sigurdsson, G, Thorsson, B, Trevisan, M, Tunstall Pedoe, H, Tavendale, R, Lowe, Gd, Woodward, M, Howard, Bv, Zhang, Y, Best, L, Umans, J, Ben Shlomo, Y, Davey Smith, G, Njølstad, I, Mathiesen, Eb, Løchen, Ml, Wilsgaard, T, Ingelsson, E, Lind, L, Giedraitis, V, Michaëlsson, K, Brunner, E, Shipley, M, Ridker, P, Buring, J, Shepherd, J, Cobbe, Sm, Ford, I, Robertson, M, Ibañez, Am, Feskens, Ej, Kromhout, D, Walker, M, Watson, S, Collins, R, Kaptoge, S, Perry, Pl, Thompson, A, Thompson, Sg, White, Ir, Wood, Am, Danesh, J., ACS - Amsterdam Cardiovascular Sciences, Cardiology, Vascular Medicine, Interne Geneeskunde, MUMC+: MA Interne Geneeskunde (3), RS: CARIM School for Cardiovascular Diseases, Sarwar, N, Sandhu, M, Ricketts, Sl, Butterworth, A, Braund, P, Hall, A, Samani, Nj, Thompson, J, März, W, Ouwehand, W, Sivapalaratnam, S, Soranzo, N, Trip, M, Lawlor, Da, Casas, Jp, Ebrahim, S, Arsenault, Bj, Boekholdt, Sm, Khaw, Kt, Wareham, Nj, Grallert, H, Illig, T, Humphries, Se, Talmud, T, Rader, Dj, He, J, Reilly, Mp, Clarke, R, Hamsten, A, Hopewell, Jc, Watkins, H, Saleheen, D, Frossard, P, Deloukas, P, Danesh, J, Ye, S, Simpson, Ia, Onat, A, Kömürcü Bayrak, E, Martinelli, N, Olivieri, O, Girelli, D, Hingorani, Ad, Kivimäki, M, Kumari, M, Aouizerat, Be, Baum, L, Campos, H, Chaaba, R, Chen, B, Cho, Ey, Evans, D, Hill, J, Hsu, La, Hubacek, Ja, Lai, Cq, Lee, Jh, Klos, K, Liu, H, Masana, L, Melegh, B, Nabika, T, Ribalta, J, Ruiz Narvaez, E, Thomas, Gn, Tomlinson, B, Szalai, C, Vaverkova, H, Yamada, Y, Yang, Y, Kastelein, Jj, Tipping, Rw, Ford, Ce, Pressel, Sl, Ballantyne, C, Brautbar, A, Knuiman, M, Whincup, Ph, Wannamethee, Sg, Morris, Rw, Kiechl, S, Willeit, J, Santer, P, Mayr, A, Wald, N, Yarnell, Jw, Gallacher, J, Casiglia, E, Tikhonoff, V, Cushman, M, Psaty, Bm, Tracy, Rp, Tybjaerg Hansen, A, Nordestgaard, Bg, Benn, M, Frikke Schmidt, R, Giampaoli, S, Palmieri, L, Panico, Salvatore, Vanuzzo, D, Pilotto, L, de la Cámara, Ag, Gómez Gerique, Ja, Simons, L, Mccallum, J, Friedlander, Y, Fowkes, Fg, Lee, Aj, Taylor, J, Guralnik, Jm, Phillips, Cl, Wallace, R, Blazer, Dg, Brenner, H, Raum, E, Müller, H, Rothenbacher, D, Jansson, Jh, Wennberg, P, Nissinen, A, Donfrancesco, C, Salomaa, V, Harald, K, Jousilahti, P, Vartiainen, E, D'Agostino, Rb, Vasan, R, Pencina, Mj, Bladbjerg, Em, Jørgensen, T, Møller, L, Jespersen, J, Dankner, R, Chetrit, A, Lubin, F, Björkelund, C, Lissner, L, Bengtsson, C, Cremer, P, Nagel, D, Rodriguez, B, Dekker, Jm, Nijpels, G, Stehouwer, Cd, Sato, S, Iso, H, Kitamura, A, Noda, H, Salonen, Jt, Nyyssönen, K, Tuomainen, Tp, Voutilainen, S, Meade, Tw, Cooper, Ja, Kuller, Lh, Grandits, G, Gillum, R, Mussolino, M, Rimm, E, Hankinson, S, Manson, Ja, Pai, Jk, Bauer, Ka, Naito, Y, Amouyel, P, Arveiler, D, Evans, A, Ferrières, J, Schulte, H, Assmann, G, Packard, Cj, Sattar, N, Westendorp, Rg, Buckley, Bm, Cantin, B, Lamarche, B, Després, Jp, Dagenais, Gr, Barrett Connor, E, Wingard, Dl, Bettencourt, R, Gudnason, V, Aspelund, T, Sigurdsson, G, Thorsson, B, Trevisan, M, Tunstall Pedoe, H, Tavendale, R, Lowe, Gd, Woodward, M, Howard, Bv, Zhang, Y, Best, L, Umans, J, Ben Shlomo, Y, Davey Smith, G, Njølstad, I, Mathiesen, Eb, Løchen, Ml, Wilsgaard, T, Ingelsson, E, Lind, L, Giedraitis, V, Michaëlsson, K, Brunner, E, Shipley, M, Ridker, P, Buring, J, Shepherd, J, Cobbe, Sm, Ford, I, Robertson, M, Ibañez, Am, Feskens, Ej, Kromhout, D, Walker, M, Watson, S, Collins, R, Di Angelantonio, E, Kaptoge, S, Perry, Pl, Thompson, A, Thompson, Sg, White, Ir, Wood, Am, Lawlor, D, Talmud, Pj, Danesh, J., Epidemiology and Data Science, General practice, and EMGO - Lifestyle, overweight and diabetes

Subjects
Very low-density lipoprotein, Nutrition and Disease, Heart disease, Coronary Disease, Lipoproteins, VLDL, 030204 cardiovascular system & hematology, low-density-lipoprotein apolipoprotein-a-v transfer protein heart-disease myocardial-infarction metabolic syndrome rich lipoproteins risk dyslipidemia association, Bioinformatics, chemistry.chemical_compound, 0302 clinical medicine, triglyceride, APOA5 gene polymorphysm, coronary heart disease, Gene Frequency, Risk Factors, Voeding en Ziekte, Medicine, Myocardial infarction, Promoter Regions, Genetic, risk, 0303 health sciences, Men, Mendelian Randomization Analysis, Articles, General Medicine, Lipids, myocardial-infarction, 3. Good health, Lipoproteins, LDL, Low-density lipoprotein, Lipoproteins, HDL, apolipoprotein-a-v, Receptor, medicine.medical_specialty, Genotype, transfer protein, Snp, Polymorphism, Single Nucleotide, metabolic syndrome, 03 medical and health sciences, Internal medicine, Humans, Particle Size, Apolipoproteins A, Triglycerides, VLAG, 030304 developmental biology, low-density-lipoprotein, Triglyceride, business.industry, dyslipidemia, association, rich lipoproteins, medicine.disease, heart-disease, Apolipoproteins, Endocrinology, chemistry, Apolipoprotein A-V, Metabolic syndrome, business, Dyslipidemia
Abstract

Udgivelsesdato: May-8 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.

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47. Genetic studies of body mass index yield new insights for obesity biology

Author

Locke, Adam E, Kahali, Bratati, Croteau-Chonka, Damien C, Doney, Alex S F, He, Bing, Heikkilä, Outi, Hietala, Kustaa, Kytö, Janne, Lahermo, Päivi, Lehto, Markku, Österholm, Anne-May, Parkkonen, Maija, Pitkäniemi, Janne, Rosengård-Bärlund, Milla, Eklund, Niina, Saraheimo, Markku, Sarti, Cinzia, Söderlund, Jenny, Soro-Paavonen, Aino, Syreeni, Anna, Thorn, Lena M, Tikkanen, Heikki, Tolonen, Nina, Tryggvason, Karl, Tuomilehto, Jaakko, Estrada, Karol, Wadén, Johan, Gill, Geoffrey V, Prior, Sarah, Guiducci, Candace, Mirel, Daniel B, Taylor, Andrew, Hosseini, Mohsen, Parving, Hans-Henrik, Rossing, Peter, Tarnow, Lise, Eury, Elodie, Ladenvall, Claes, Alhenc-Gelas, François, Lefebvre, Pierre, Rigalleau, Vincent, Roussel, Ronan, Tregouet, David-Alexandre, Maestroni, Anna, Maestroni, Silvia, Falhammar, Henrik, Gu, Tianwei, Folkersen, Lasse, Möllsten, Anna, Cimponeriu, Dan, Mihai, Ioana, Mota, Maria, Mota, Eugen, Serafinceanu, Cristian, Stavarachi, Monica, Hanson, Robert L, Nelson, Robert G, Kretzler, Matthias, Fraser, Ross M, Colhoun, Helen M, Panduru, Nicolae Mircea, Gu, Harvest F, Brismar, Kerstin, Zerbini, Gianpaolo, Hadjadj, Samy, Marre, Michel, Groop, Leif, Lajer, Maria, Bull, Shelley B, Garcia, Melissa E, Waggott, Daryl, Paterson, Andrew D, Savage, David A, Bain, Stephen C, Martin, Finian, Hirschhorn, Joel N, Godson, Catherine, Florez, Jose C, Groop, Per-Henrik, Maxwell, Alexander P, Geller, Frank, Willer, Cristen J, Schmidt, Ellen M, Sengupta, Sebanti, Peloso, Gina M, Gustafsson, Stefan, Kanoni, Stavroula, Ganna, Andrea, Chen, Jin, Buchkovich, Martin L, Mora, Samia, Giedraitis, Vilmantas, Beckmann, Jacques S, Bragg-Gresham, Jennifer L, Chang, Hsing-Y, Demirkan, Ayşe, Den Hertog, Heleen M, Do, Ron, Donnelly, Louise A, Ehret, Georg B, Esko, Tõnu, Feitosa, Mary F, Gigante, Bruna, Ferreira, Teresa, Fischer, Krista, Fontanillas, Pierre, Freitag, Daniel F, Gurdasani, Deepti, Heikkilä, Kauko, Hyppönen, Elina, Isaacs, Aaron, Jackson, Anne U, Esko, Tonu, Go, Alan S, Johansson, Åsa, Johnson, Toby, Kaakinen, Marika, Kettunen, Johannes, Kleber, Marcus E, Li, Xiaohui, Luan, Jian'an, Lyytikäinen, Leo-Pekka, Magnusson, Patrik K E, Mangino, Massimo, Golay, Alain, Mihailov, Evelin, Montasser, May E, Müller-Nurasyid, Martina, Nolte, Ilja M, O'Connell, Jeffrey R, Palmer, Cameron D, Perola, Markus, Petersen, Ann-Kristin, Sanna, Serena, Saxena, Richa, Goodall, Alison H, Service, Susan K, Shah, Sonia, Shungin, Dmitry, Sidore, Carlo, Song, Ci, Strawbridge, Rona J, Surakka, Ida, Tanaka, Toshiko, Teslovich, Tanya M, Thorleifsson, Gudmar, Gordon, Scott D, Van den Herik, Evita G, Voight, Benjamin F, Volcik, Kelly A, Waite, Lindsay L, Wong, Andrew, Wu, Ying, Zhang, Weihua, Absher, Devin, Asiki, Gershim, Barroso, Inês, Gorski, Mathias, Been, Latonya F, Bolton, Jennifer L, Bonnycastle, Lori L, Brambilla, Paolo, Burnett, Mary S, Cesana, Giancarlo, Dimitriou, Maria, Doring, Angela, Elliott, Paul, Grabe, Hans-Jörgen, Epstein, Stephen E, Eyjolfsson, Gudmundur Ingi, Goodarzi, Mark O, Grallert, Harald, Gravito, Martha L, Groves, Christopher J, Hallmans, Göran, Hartikainen, Anna-Liisa, Hayward, Caroline, Hernandez, Dena, Hicks, Andrew A, Holm, Hilma, Hung, Yi-Jen, Illig, Thomas, Jones, Michelle R, Kaleebu, Pontiano, Kastelein, John J P, Khaw, Kay-Tee, Kim, Eric, Grammer, Tanja B, Klopp, Norman, Komulainen, Pirjo, Kumari, Meena, Langenberg, Claudia, Lehtimaki, Terho, Lin, Shih-Yi, Lindstrom, Jaana, Loos, Ruth J F, Mach, François, McArdle, Wendy L, Gräßler, Jürgen, Meisinger, Christa, Mitchell, Braxton D, Muller, Gabrielle, Nagaraja, Ramaiah, Narisu, Narisu, Nieminen, Tuomo V M, Nsubuga, Rebecca N, Olafsson, Isleifur, Ong, Ken K, Palotie, Aarno, Grönberg, Henrik, Papamarkou, Theodore, Pomilla, Cristina, Pouta, Anneli, Rader, Daniel J, Reilly, Muredach P, Ridker, Paul M, Rivadeneira, Fernando, Rudan, Igor, Ruokonen, Aimo, Samani, Nilesh, Fall, Tove, Scharnagl, Hubert, Seeley, Janet, Silander, Kaisa, Stančáková, Alena, Stirrups, Kathleen, Swift, Amy J, Tiret, Laurence, Uitterlinden, Andre G, van Pelt, L Joost, Vedantam, Sailaja, Gusto, Gaëlle, Wainwright, Nicholas, Wijmenga, Cisca, Wild, Sarah H, Willemsen, Gonneke, Wilsgaard, Tom, Wilson, James F, Young, Elizabeth H, Zhao, Jing Hua, Adair, Linda S, Arveiler, Dominique, Haessler, Jeffrey, Assimes, Themistocles L, Bandinelli, Stefania, Bennett, Franklyn, Bochud, Murielle, Boehm, Bernhard O, Boomsma, Dorret I, Borecki, Ingrid B, Bornstein, Stefan R, Bovet, Pascal, Burnier, Michel, Hall, Per, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chen, Yii-Der Ida, Collins, Francis S, Cooper, Richard S, Danesh, John, Dedoussis, George, de Faire, Ulf, Feranil, Alan B, Haller, Toomas, Ferrieres, Jean, Ferrucci, Luigi, Freimer, Nelson B, Gieger, Christian, Groop, Leif C, Gudnason, Vilmundur, Gyllensten, Ulf, Hamsten, Anders, Harris, Tamara B, Hingorani, Aroon, Hallmans, Goran, Hofman, Albert, Hovingh, G Kees, Hsiung, Chao Agnes, Humphries, Steve E, Hunt, Steven C, Hveem, Kristian, Iribarren, Carlos, Jarvelin, Marjo-Riitta, Jula, Antti, Hartman, Catharina A, Kähönen, Mika, Kaprio, Jaakko, Kesäniemi, Antero, Kivimaki, Mika, Kooner, Jaspal S, Koudstaal, Peter J, Krauss, Ronald M, Kuh, Diana, Kuusisto, Johanna, Kyvik, Kirsten O, Hassinen, Maija, Laakso, Markku, Lakka, Timo A, Lind, Lars, Lindgren, Cecilia M, Martin, Nicholas G, März, Winfried, McCarthy, Mark I, McKenzie, Colin A, Meneton, Pierre, Metspalu, Andres, Moilanen, Leena, Morris, Andrew D, Munroe, Patricia B, Njølstad, Inger, Pedersen, Nancy L, Power, Chris, Pramstaller, Peter P, Price, Jackie F, Psaty, Bruce M, Quertermous, Thomas, Heard-Costa, Nancy L, Rauramaa, Rainer, Saleheen, Danish, Salomaa, Veikko, Sanghera, Dharambir K, Saramies, Jouko, Schwarz, Peter E H, Sheu, Wayne H-H, Shuldiner, Alan R, Siegbahn, Agneta, Spector, Tim D, Helmer, Quinta, Stefansson, Kari, Strachan, David P, Tayo, Bamidele O, Tremoli, Elena, Uusitupa, Matti, van Duijn, Cornelia M, Vollenweider, Peter, Wallentin, Lars, Wareham, Nicholas J, Hengstenberg, Christian, Whitfield, John B, Wolffenbuttel, Bruce H R, Ordovas, Jose M, Boerwinkle, Eric, Palmer, Colin N A, Thorsteinsdottir, Unnur, Chasman, Daniel I, Rotter, Jerome I, Franks, Paul W, Ripatti, Samuli, Holmen, Oddgeir, Cupples, L Adrienne, Sandhu, Manjinder S, Rich, Stephen S, Boehnke, Michael, Deloukas, Panos, Kathiresan, Sekar, Mohlke, Karen L, Ingelsson, Erik, Abecasis, Gonçalo R, Abecasis, Gonçalo, Hottenga, Jouke-Jan, Caulfield, Mark, Chasman, Dan, Ehret, Georg, Johnson, Andrew, Johnson, Louise, Larson, Martin, Levy, Daniel, James, Alan L, Munroe, Patricia, Newton-Cheh, Christopher, O'Reilly, Paul, Palmas, Walter, Psaty, Bruce, Rice, Kenneth, Smith, Albert, Snider, Harold, Tobin, Martin, Van Duijn, Cornelia, Jeff, Janina M, Verwoert, Germaine, Rice, Kenneth M, Johnson, Andrew D, Smith, Albert V, Tobin, Martin D, Verwoert, Germaine C, Hwang, Shih-Jen, Pihur, Vasyl, O'Reilly, Paul F, Amin, Najaf, Teumer, Alexander, Glazer, Nicole L, Launer, Lenore, Jolley, Jennifer, Aulchenko, Yurii, Heath, Simon, Sõber, Siim, Parsa, Afshin, Arora, Pankaj, Dehghan, Abbas, Zhang, Feng, Lucas, Gavin, Juliusdottir, Thorhildur, Peden, John F, Igl, Wilmar, Milaneschi, Yuri, Parker, Alex N, Fava, Cristiano, Kinnunen, Leena, Fox, Ervin R, Go, Min Jin, van der Harst, Pim, Kao, Wen Hong Linda, Sjögren, Marketa, Vinay, D. G., Alexander, Myriam, Tabara, Yasuharu, Shaw-Hawkins, Sue, Koenig, Wolfgang, Whincup, Peter H, Liu, Yongmei, Shi, Gang, Tayo, Bamidele, Seielstad, Mark, Sim, Xueling, Nguyen, Khanh-Dung Hoang, Lehtimäki, Terho, Matullo, Giuseppe, Koskenvuo, Markku, Gaunt, Tom R, Onland-Moret, N Charlotte, Cooper, Matthew N, Platou, Carl G P, Org, Elin, Hardy, Rebecca, Dahgam, Santosh, Palmen, Jutta, Vitart, Veronique, Kratzer, Wolfgang, Braund, Peter S, Kuznetsova, Tatiana, Uiterwaal, Cuno S P M, Adeyemo, Adebowale, Ludwig, Barbara, Tomaszewski, Maciej, Tzoulaki, Ioanna, Palmer, Nicholette D, Laitinen, Jaana, Aspelund, Thor, Garcia, Melissa, Chang, Yen-Pei C, Steinle, Nanette I, Grobbee, Diederick E, Arking, Dan E, Kardia, Sharon L, Morrison, Alanna C, Lamina, Claudia, Najjar, Samer, Hadley, David, Brown, Morris J, Connell, John M, Hingorani, Aroon D, Day, Ian N M, Lawlor, Debbie A, Beilby, John P, Lawrence, Robert W, Leander, Karin, Clarke, Robert, Collins, Rory, Hopewell, Jemma C, Ongen, Halit, Dreisbach, Albert W, Li, Yali, Young, J. H., Bis, Joshua C, Viikari, Jorma, Lee, Nanette R, Chen, Ming-Huei, Olden, Matthias, Pattaro, Cristian, Bolton, Judith A Hoffman, Köttgen, Anna, Bergmann, Sven, Mooser, Vincent, Chaturvedi, Nish, Lichtner, Peter, Frayling, Timothy M, Islam, Muhammad, Jafar, Tazeen H, Erdmann, Jeanette, Kulkarni, Smita R, Grässler, Jürgen, Howard, Philip, Guarrera, Simonetta, Ricceri, Fulvio, Emilsson, Valur, Plump, Andrew, Weder, Alan B, Lindström, Jaana, Sun, Yan V, Bergman, Richard N, Scott, Laura J, Stringham, Heather M, Peltonen, Leena, Vartiainen, Erkki, Brand, Stefan-Martin, Kutalik, Zoltán, Lo, Ken Sin, Staessen, Jan A, Wang, Thomas J, Burton, Paul R, Artigas, Maria Soler, Dong, Yanbin, Snieder, Harold, Wang, Xiaoling, Zhu, Haidong, Lohman, Kurt K, Rudock, Megan E, Lobbens, Stéphane, Heckbert, Susan R, Smith, Nicholas L, Wiggins, Kerri L, Doumatey, Ayo, Shriner, Daniel, Veldre, Gudrun, Viigimaa, Margus, Kinra, Sanjay, Prabhakaran, Dorairajan, Tripathy, Vikal, Lorbeer, Roberto, Langefeld, Carl D, Rosengren, Annika, Thelle, Dag S, Corsi, Anna Maria, Singleton, Andrew, Forrester, Terrence, Hilton, Gina, Salako, Tunde, Iwai, Naoharu, Lu, Yingchang, Kita, Yoshikuni, Ogihara, Toshio, Ohkubo, Takayoshi, Okamura, Tomonori, Ueshima, Hirotsugu, Umemura, Satoshi, Eyheramendy, Susana, Meitinger, Thomas, Wichmann, H-Erich, Cho, Yoon Shin, Kim, Hyung-Lae, Lee, Jong-Young, Scott, James, Sehmi, Joban S, Hedblad, Bo, Nilsson, Peter, Smith, George Davey, Raffel, Leslie J, Yao, Jie, O'Donnell, Chris, Schwartz, Stephen M, Ikram, M Arfan, Longstreth, W. 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EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Eriksson, J., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Peacock, M., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., van Meurs JB., Weedon, MN., Wichmann, H., Young, L., Bierut, LJ., Boyd, HA., Econs, MJ., Van T'Hooft, Ferdinand M., Njølstad, Inger, Abecasis, Gonçalo R., Barroso, Inɥ, The MIGEN Consortium, Investigator, Casari, GIORGIO NEVIO, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Landsteiner Laboratory, Clinical Haematology, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life 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Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Melzer, D, Newman, A, Pare, G, Peeters, P, Pop, V, Raikkonen, K, Salumets, A, Stacey, S, Starr, J, Stathopoulou, M, Styrkarsdottir, U, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Widen, E, Wijnands-Van Gent, C, Yerges-Armstrong, L, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Streeten, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Koller, D, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Couper, D, Easton, D, Foroud, T, Kilpelainen, T, Li, S, Murray, S, Ness, A, Northstone, K, Peacock, M, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segre, A, Sovio, U, Srinivasan, S, Tammesoo, M, van Meurs, J, Young, L, Bierut, L, Econs, M, The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GLGC, The ICBP, The MAGIC Investigators, The MuTHER Consortium, The MIGen Consortium, The PAGE Consortium, The ReproGen Consortium, The GENIE Consortium, The International Endogene Consortium, Berndt, Sonja I, Justice, Anne E, Hyppönen, Elina Tuulikki, Epidemiology and Data Science, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes

Subjects
Male, LOCI, Genome-wide association study, Continental Population Groups/genetics, VARIANTS, Body Mass Index, Insulin Secretion, Insulin, Age Factor, Adiposity, ddc:616, Adipogenesis, Genetic Predisposition to Disease/genetics, Synapse, 3. Good health, Continental Population Group, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], GENOME-WIDE ASSOCIATIONPROVIDES INSIGHTSGLYCEMIC TRAITSLOCIMETAANALYSISVARIANTSINDIVIDUALSHIPPOCAMPALARCHITECTURETOPIRAMATE, ddc:500, Adipogenesis/genetics, Single Nucleotide/genetics, Age Factors, Continental Population Groups, Energy Metabolism, Europe, Female, Genetic Predisposition to Disease, Glutamic Acid, Humans, Obesity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Synapses, Genome-Wide Association Study, Multidisciplinary, genetics [Adiposity], Human, Socio-culturale, genetics [Energy Metabolism], ta3111, genetic, body mass index, obesity, SDG 3 - Good Health and Well-being, GLYCEMIC TRAITS, genetics [Continental Population Groups], Genetic variability, Polymorphism, GENOME-WIDE ASSOCIATION, genetics [Adipogenesis], METAANALYSIS, Genetic association, Adipogenesi, genetics [Quantitative Trait Loci], ta1184, metabolism [Glutamic Acid], ta1182, PATHWAYS, metabolism [Synapses], ta3121, medicine.disease, metabolism [Insulin], Adiposity/genetics, Clinical Medicine, Quantitative Trait Loci/genetics, Body mass index, HUMAN HEIGHT, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Synapses/metabolism, Medizin, Obesity/genetics, Bioinformatics, genetic basis, Obesity/metabolism, genetics [Obesity], body mass index (BMI), genetics [Genetic Predisposition to Disease], ethnology [Europe], 2. Zero hunger, Genetics, ARCHITECTURE, Genetics of obesity, Medicine (all), Single Nucleotide, Polymorphism, Single Nucleotide/genetics, Insulin/metabolism/secretion, Glutamic Acid/metabolism, genetics [Polymorphism, Single Nucleotide], EXPRESSION, Insulin/metabolism, PROVIDES INSIGHTS, genetics [Racial Groups], Biology, Obesity/genetics/metabolism, Europe/ethnology, metabolism [Obesity], Mendelian randomization, medicine, Energy Metabolism/genetics, body mass, genetic analysis, obesity, Klinisk medicin
Abstract

Item does not contain fulltext Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 x 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for approximately 2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.

Published
2015

48. New genetic loci link adipose and insulin biology to body fat distribution

Author

Shungin, Dmitry, Winkler, Thomas W, Workalemahu, Tsegaselassie, Hartman, Catharina A, Duncan, Emma L, Ntzani, Evangelia E, Oei, Ling, Albagha, Omar M E, Amin, Najaf, Kemp, John P, Koller, Daniel L, Li, Guo, Liu, Ching-Ti, Minster, Ryan L, Hassinen, Maija, Moayyeri, Alireza, Vandenput, Liesbeth, Willner, Dana, Xiao, Su-Mei, Yerges-Armstrong, Laura M, Zheng, Hou-Feng, Alonso, Nerea, Eriksson, Joel, Kammerer, Candace M, Kaptoge, Stephen K, Hayward, Caroline, Leo, Paul J, Thorleifsson, Gudmar, Wilson, Scott G, Wilson, James F, Aalto, Ville, Alen, Markku, Aragaki, Aaron K, Aspelund, Thor, Center, Jacqueline R, Dailiana, Zoe, Heikkilä, Kauko, Duggan, David J, Garcia, Melissa, Garcia-Giralt, Natàlia, Giroux, Sylvie, Hallmans, Göran, Hocking, Lynne J, Husted, Lise Bjerre, Jameson, Karen A, Khusainova, Rita, Kim, Ghi Su, Herzig, Karl-Heinz, Kooperberg, Charles, Koromila, Theodora, Kruk, Marcin, Laaksonen, Marika, Lacroix, Andrea Z, Lee, Seung Hun, Leung, Ping C, Lewis, Joshua R, Masi, Laura, Mencej-Bedrac, Simona, Helmer, Quinta, Nguyen, Tuan V, Nogues, Xavier, Patel, Millan S, Prezelj, Janez, Rose, Lynda M, Scollen, Serena, Siggeirsdottir, Kristin, Smith, Albert V, Svensson, Olle, Trompet, Stella, Hillege, Hans L, Trummer, Olivia, van Schoor, Natasja M, Woo, Jean, Zhu, Kun, Balcells, Susana, Brandi, Maria Luisa, Buckley, Brendan M, Cheng, Sulin, Christiansen, Claus, Cooper, Cyrus, Holmen, Oddgeir, Dedoussis, George, Ford, Ian, Frost, Morten, Goltzman, David, González-Macías, Jesús, Kähönen, Mika, Karlsson, Magnus, Khusnutdinova, Elza, Koh, Jung-Min, Kollia, Panagoula, Hunt, Steven C, Langdahl, Bente Lomholt, Leslie, William D, Lips, Paul, Ljunggren, Östen, Lorenc, Roman S, Marc, Janja, Mellström, Dan, Obermayer-Pietsch, Barbara, Olmos, José M, Pettersson-Kymmer, Ulrika, Isaacs, Aaron, Reid, David M, Riancho, José A, Ridker, Paul M, Rousseau, François, Slagboom, P Eline, Tang, Nelson L S, Urreizti, Roser, Van Hul, Wim, Viikari, Jorma, Zarrabeitia, María T, Wu, Joseph M W, Ittermann, Till, Aulchenko, Yurii S, Castano-Betancourt, Martha, Grundberg, Elin, Herrera, Lizbeth, Ingvarsson, Thorvaldur, Johannsdottir, Hrefna, Kwan, Tony, Li, Rui, Luben, Robert, Medina-Gómez, Carolina, James, Alan L, Palsson, Stefan Th, Reppe, Sjur, Rotter, Jerome I, Sigurdsson, Gunnar, van Meurs, Joyce B J, Verlaan, Dominique, Williams, Frances M K, Wood, Andrew R, Zhou, Yanhua, Gautvik, Kaare M, Johansson, Ingegerd, Pastinen, Tomi, Raychaudhuri, Soumya, Cauley, Jane A, Chasman, Daniel I, Clark, Graeme R, Cummings, Steven R, Danoy, Patrick, Dennison, Elaine M, Eastell, Richard, Eisman, John A, Juliusdottir, Thorhildur, Gudnason, Vilmundur, Hofman, Albert, Jackson, Rebecca D, Jones, Graeme, Jukema, J Wouter, Khaw, Kay-Tee, Lehtimäki, Terho, Liu, Yongmei, Lorentzon, Mattias, McCloskey, Eugene, Kalafati, Ioanna-Panagiota, Mitchell, Braxton D, Nandakumar, Kannabiran, Nicholson, Geoffrey C, Oostra, Ben A, Peacock, Munro, Pols, Huibert A P, Prince, Richard L, Raitakari, Olli, Reid, Ian 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P., Esko, T., Fall, T., Chen, H., Robertson, N., Rybin, D., Chines, PS., Song, K., An, P., Marullo, L., Jansen, H., Oldehinkel, AJ., North, KE., Forouhi, NG., Edkins, S., Varga, TV., Oksa, H., Antonella, M., Kong, A., Herder, C., Antti, J., Miljkovic, I., Atalay, M., Kiess, W., James, AL., Smit, JH., Campbell, S., Fowkes, GR., Basart, HV., Rathmann, W., Maerz, W., Province, MA., Watanabe, RM., de Geus EJ., Penninx, BW., Oostra, B., Toenjes, A., Peyser, PA., Körner, A., Keinanen-Kiukaanniemi, SM., Saaristo, TE., Boomsma, D., Cucca, F., Balkau, B., Froguel, P., Jarvelin, MR., Bouatia-Naji, N., Ahmadi, KR., Ainali, C., Barrett, A., Bataille, V., Bell, JT., Buil, A., Dermitzakis, ET., Dimas, AS., Durbin, R., Glass, D., Hassanali, N., Hedman£££Åsa K£££ ÅK., Ingle, C., Keildson, S., Knowles, D., Krestyaninova, M., Lowe, CE., Meduri, E., di Meglio, P., Min, JL., Montgomery, SB., Nestle, FO., Nica, AC., Nisbet, J., O'Rahilly, S., Parts, L., Potter, S., Sekowska, M., Shin, SY., Small, KS., Surdulescu, G., Travers, ME., Tsaprouni, L., Tsoka, S., Wilk, A., Matise, T., Buyske, S., Higashio, J., Williams, R., Nato, A., Ambite, JL., Deelman, E., Manolio, T., Hindorff, L., Heiss, G., Taylor, K., Avery, C., Graff, M., Lin, D., Quibrera, M., Cochran, B., Kao, L., Umans, J., Cole, S., MacCluer, J., Person, S., Pankow, J., Gross, M., Fornage, M., Durda, P., Jenny, N., Patsy, B., Arnold, A., Buzkova, P., Crawford, D., Haines, J., Murdock, D., Glenn, K., Brown-Gentry, K., Thornton-Wells, T., Dumitrescu, L., Jeff, J., Bush, WS., Mitchell, SL., Goodloe, R., Wilson, S., Boston, J., Malinowski, J., Restrepo, N., Oetjens, M., Fowke, J., Zheng, W., Spencer, K., Ritchie, M., Pendergrass, S., Le Marchand£££Loïc£££ L., Wilkens, L., Park, L., Tiirikainen, M., Kolonel, L., Lim, U., Cheng, I., Wang, H., Shohet, R., Haiman, C., Stram, D., Henderson, B., Monroe, K., Schumacher, F., Peters, U., Anderson, G., Carlson, C., Prentice, R., LaCroix, A., Wu, C., Carty, C., Gong, J., Rosse, S., Young, A., Haessler, J., Kocarnik, J., Lin, Y., Jackson, R., Duggan, D., Kuller, L., Stolk, L., He, C., Sulem, P., Barbalic, M., Broer, L., Byrne, EM., Gudbjartsson, DF., McArdle, PF., Porcu, E., van Wingerden, S., Zhuang, W., Albrecht, E., Alizadeh, BZ., Lauc, LB., Broekmans, FJ., Burri, A., Chanock, SJ., Chen, C., Corre, T., Coviello, AD., d'Adamo, P., Davies, G., Deary, IJ., Ebrahim, S., Fauser, BC., Ferreli, L., Folsom, AR., Garcia, ME., Hall, P., Haller, T., Hankinson, SE., Hass, M., Heath, AC., Janssens, AC., Keyzer, J., Lahti, J., Lai, S., Laisk, T., Laven, JS., Liu, J., Lopez, LM., Louwers, YV., Marongiu, M., Klaric, IM., Masciullo, C., McKnight, B., Medland, SE., Melzer, D., Newman, AB., Paré, G., Peeters, PH., Plump, AS., Pop, VJ., Räikkönen, K., Salumets, A., Smith, JA., Stacey, SN., Starr, JM., Stathopoulou, MG., Tenesa, A., Thorand, B., Tryggvadottir, L., Tsui, K., van Dam RM., van Gils CH., van Nierop, P., Vink, JM., Voorhuis, M., Wallaschofski, H., Widen, E., Wijnands-van Gent CJ., Zgaga, L., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., Weedon, MN., Wichmann, H., Young, L., Zhuang, WV., Bierut, LJ., Boyd, HA., Department of Clinical Sciences, Lund University [Lund], Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Odontology, Umeå University, Signalisation et Transports Ioniques Membranaires (STIM), Université de Poitiers-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Sciences, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Limnology, Ecology, Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Institute of Medical Informatics, Biometry and Epidemiology, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Space Sciences Laboratory [Berkeley] (SSL), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, King‘s College London, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Department of Pharmacy Sciences, Creighton University Medical Center, Medical Department III, Universität Leipzig, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Public Health and Clinical Medicine, Medstar Research Institute, Genetics and Pathology, Finnish Institute of Occupational Health, Epidemiology, University Medical Centre Groningen, Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry, University of California [Irvine] (UC Irvine), Department of Odontology, Cariology, Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Division of Cardiology, Geneva University Hospital (HUG), Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Anaesthesia and Intensive care, Royal Aberdeen Childrens Hospital, UCL Institute of neurology, UCL Institute of Neurology, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University Hospital, Department of Genetics, University of Groningen [Groningen], deCODE Genetics, deCODE genetics [Reykjavik], Pediatric Pulmonology, Allergology & Epidemiology, University of Groningen [Groningen]-University Medical Center Groningen [Groningen] (UMCG)-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Department of Nutrition-Dietetics, Harokopio University of Athens, Yale School of Medicine [New Haven, Connecticut] (YSM), National Heart and Lung Institute (NHLI), Imperial College London, Queensland Institute of Medical Research, Concord Hospital, Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Dept. 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Greifswald - University of Greifswald, Interfaculty Institute for Genetics and Functional Genomics, 5 University Street, Centre for Paediatric Epidemiology and Biostatistics, University College of London [London] (UCL), MRC Centre for Epidemiology of Child Health, UCL Institute of Child Health, Unit for Molecular Epidemiology, Institute of Health Sciences and Biocenter Oulu, University of Oulu, Department of Epidemiology and Biostatistics, Department of Life Course and Services, National Institute for Health and Welfare [Helsinki], Department of Epidemiology and Public Health, Queen's University [Belfast] (QUB), Interdisciplinary Center of Clinical Research, Department of Physiology, University of Eastern Finland-Institute of Biomedicine, University of Hawai‘i [Mānoa] (UHM), Department of Clinical Chemistry, University of Tampere [Finland]-Tampere University Hospital, Chronic Disease Epidemiology and Prevention Unit, Université Laval [Québec] (ULaval), Centre for Bone and Arthritis Research, University of Gothenburg (GU)-Institute of Medicine, Interdisciplinary Center for Psychiatric Epidemiology, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Department of Clinical Physiology, Turku University Hospital (TYKS), Brigham and Women's Hospital [Boston], Department of Chronic Disease Prevention, Department of Cardiovascular Sciences [Leicester], University of Leicester, Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Maastricht University [Maastricht], Institute of Social and Preventive Medicine, Lausanne University Hospital, Carl Gustav Carus University Hospital, Recherches en Psychopathologie, nouveaux symptômes et lien social (EA 4050), Université de Poitiers-Université de Brest (UBO)-Université Catholique de l'Ouest (UCO)-Université de Rennes 2 (UR2), Institut de biologie de Lille - UMS 3702 (IBL), 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= University of Helsinki, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Institute of Public Health and Clinical Nutrition, University of Eastern Finland, MRC epidemiology Unit, Institute of Epidemiology, Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Oncology, Queensland Brain Institute, University of Queensland [Brisbane], Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, Massachusetts General Hospital [Boston], Divisions of Genetics and Endocrinology and Program in Genomics, Boston Children's Hospital, Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Metabolic Disease Group, University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Epidemiology Unit, Addenbrooke's Hospital-Medical Research Council (MRC), Framingham Heart Study, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Landsteiner Laboratory, Clinical Haematology, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Lund University Diabetes Centre-Lund University [Lund], Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Technical University of Denmark [Lyngby] (DTU), Université de Lausanne (UNIL), Universität Duisburg-Essen [Essen], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), University of California [Berkeley], University of California-University of California, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Universität Leipzig [Leipzig], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of California [Irvine] (UCI), German Research Center for Environmental Health, University of Bonn, Czech Academy of Sciences [Prague] (ASCR), Yale University School of Medicine, University of Oxford [Oxford], German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Laval University, Laval University [Québec], Turku University Hospital, Lausanne university hospital, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Helmholtz-Zentrum München (HZM), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Internal Medicine, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Medical Informatics, Obstetrics & Gynecology, Lund University [Lund]-Lund University Diabetes Centre, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institute of Medicine-University of Gothenburg (GU), Signalisation et Transports Ioniques Membranaires ( STIM ), Université de Poitiers-Centre National de la Recherche Scientifique ( CNRS ), Technical University of Denmark [Lyngby] ( DTU ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Department of Medical Epidemiology and Biostatistics ( MEB ), University of Lausanne, Centre d'Immunologie de Marseille - Luminy ( CIML ), Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Erasmus MC, Space Sciences Laboratory [Berkeley] ( SSL ), Génomique Intégrative et Modélisation des Maladies Métaboliques ( EGID ), Université de Lille-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Pasteur de Lille, Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Lille] ( CHRU Lille ), University of Leipzig, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institute of Epidemiology [Neuherberg] ( EPI ), University of California [Irvine] ( UCI ), Génétique des maladies multifactorielles ( GMM ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Geneva University Hospital ( HUG ), Bonn Universität [Bonn], Indian Institute of Technology Kanpur ( IIT Kanpur ), The University of North Carolina at Chapel Hill, Université de Bonn, Wellcome Trust Sanger Institute, Harvard University School of Public Health, Czech Academy of Sciences [Prague] ( ASCR ), deCODE genetics, University of Groningen [Groningen]-University Medical Center Groningen-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Yale School of Medicine, National Heart and Lung Institute ( NHLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, University Medical Center Groningen, University of Cambridge [UK] ( CAM ), Wellcome Trust Centre for Human Genetics, University of Pisa [Pisa], University of Cambridge [UK] ( CAM ) -Institute of Metabolic Science, German Research Center for Environmental Health-Helmholtz-Zentrum München ( HZM ), University of Otago, University of Greifswald, University College of London [London] ( UCL ), National Institute for Health and Welfare, Queen's University [Belfast] ( QUB ), University of Hawaii at Manoa ( UHM ), University of Gothenburg ( GU ) -Institute of Medicine, Recherches en Psychopathologie, nouveaux symptômes et lien social ( EA 4050 ), Université de Poitiers-Université de Brest ( UBO ) -Université Catholique de l'Ouest-Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Institut de biologie de Lille - IBL ( IBLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Finland Institute for Molecular Medicine ( FIMM ), Georgia Prevention Institute, Netherlands Consortium for Healthy Aging, Helmholtz-Zentrum München ( HZM ), National Institutes of Health ( NIH ) -National Cancer Institute ( NIH ), Massachusetts General Hospital, Children's Hospital, Boston, Broad Institute, Cambridge, MA, The University of North Carolina at Chapel Hill-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Shungin D, Winkler TW, Adipogen, Consortium, Cardiogramplusc4d, Consortium, Ckdgen, Consortium, Gefos, Consortium, Genie, Consortium, Glgc, Icbp, International, Endogene Consortium, Lifelines, Cohort Study, Magic, Investigator, Muther, Consortium, Consortium, Page, ReproGen Consortium, Amouyel P, D'Adamo, ADAMO PIO, Gasparini, Paolo, Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Hypponen, Elina, Mohlke, Karen L, ADIPOGEN Consortium, Int Endogene Consortium, Lee Kong Chian School of Medicine (LKCMedicine), Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, Université de Tours-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, Harris, T, Hattersley, A, Heliövaara, M, Hicks, A, Hingorani, A, Hoffmann, W, Hofman, A, Homuth, G, Humphries, S, Hyppönen, E, Illig, T, Jarvelin, M, Johansen, B, Jousilahti, P, Jula, A, Kaprio, J, Kee, F, Keinanen Kiukaanniemi, S, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lyssenko, V, Männistö, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Musk, A, Möhlenkamp, S, Morris, A, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Palmer, L, Penninx, B, Peters, A, Pramstaller, P, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Shuldiner, A, Staessen, J, Steinthorsdottir, V, Stolk, R, Strauch, K, Tönjes, A, Tremblay, A, Tremoli, E, Vohl, M, Völker, U, Vollenweider, P, Wilson, J, Witteman, J, Adair, L, Bochud, M, Boehm, B, Bornstein, S, Bouchard, C, Cauchi, S, Caulfield, M, Chambers, J, Chasman, D, Cooper, R, Dedoussis, G, Ferrucci, L, Froguel, P, Grabe, H, Hamsten, A, Hui, J, Hveem, K, Jöckel, K, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, März, W, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Pe'Russe, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sinisalo, J, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, Van Der Harst, P, Veronesi, G, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Abecasis, G, Assimes, T, Berndt, S, Boehnke, M, Borecki, I, Deloukas, P, Franke, L, Frayling, T, Groop, L, Hunter, D, Kaplan, R, O'Connell, J, Qi, L, Schlessinger, D, Strachan, D, Stefansson, K, Van Duijn, C, Willer, C, Visscher, P, Yang, J, Hirschhorn, J, Zillikens, M, Mccarthy, M, Speliotes, E, North, K, Fox, C, Barroso, I, Franks, P, Ingelsson, E, Heid, I, Loos, R, Cupples, L, Lindgren, C, Mohlke, K, Dastani, Z, Timpson, N, Yuan, X, Henneman, P, Kizer, J, Lyytikainen, L, Fuchsberger, C, Small, K, Coassin, S, Lohman, K, Pankow, J, Uh, H, Wu, Y, Bidulescu, A, Rasmussen Torvik, L, Greenwood, C, Ladouceur, M, Grimsby, J, Manning, A, Mooser, V, Kapur, K, Frants, R, Willemsvan vanDijk, K, Willems, S, Psaty, B, Tracy, R, Brody, J, Chen, I, Viikari, J, Kähönen, M, Evans, D, St Pourcain, B, Sattar, N, Carlson, O, Egan, J, van Heemst, D, Kedenko, L, Nuotio, M, Loo, B, Kanaya, A, Haun, M, Klopp, N, Katsareli, E, Couper, D, Duncan, B, Kloppenburg, M, Borja, J, Musani, S, Guo, X, Semple, R, Teslovich, T, Allison, M, Redline, S, Buxbaum, S, Meulenbelt, I, Ballantyne, C, Hu, F, Paulweber, B, Florez, J, Smith, G, Siscovick, D, Kronenberg, F, van Duijn, C, Waterworth, D, Meigs, J, Dupuis, J, Richards, J, Willenborg, C, Thompson, J, Erdmann, J, Goldstein, B, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Lundmark, P, Lyytikäinen, L, Rafelt, S, Tikkanen, E, Van Zuydam, N, Voight, B, Ziegler, A, Altshuler, D, Balmforth, A, Braund, P, Burgdorf, C, Cox, D, Dimitriou, M, Do, R, El Mokhtari, N, Fontanillas, P, Hager, J, Han, B, Kang, H, Kessler, T, Knowles, J, Kolovou, G, Langford, C, Lokki, M, Lundmark, A, Meisinger, C, Melander, O, Maouche, S, Nikus, K, Peden, J, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Basart, H, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Gauguier, D, Goodall, A, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kim, H, Laaksonen, R, Ouwehand, W, Parish, S, Park, J, Rader, D, Shah, S, Stark, K, Trégouët, D, Virtamo, J, Wallentin, L, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Hovingh, G, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, O'Donnell, C, Reilly, M, Collins, R, Kathiresan, S, Roberts, R, Schunkert, H, Pattaro, C, Köttgen, A, Garnaas, M, Böger, C, Chen, M, Tin, A, Taliun, D, Li, M, Gao, X, Gorski, M, Yang, Q, Hundertmark, C, Foster, M, O'Seaghdha, C, Glazer, N, Struchalin, M, Li, G, Johnson, A, Gierman, H, Hwang, S, Atkinson, E, Cornelis, M, Chouraki, V, Holliday, E, Sorice, R, Deshmukh, H, Ulivi, S, Chu, A, Murgia, F, Trompet, S, Imboden, M, Kollerits, B, Pistis, G, Launer, L, Aspelund, T, Eiriksdottir, G, Mitchell, B, Schmidt, H, Cavalieri, M, Rao, M, de Andrade, M, Turner, S, Ding, J, Andrews, J, Freedman, B, Döring, A, Kolcic, I, Zemunik, T, Boban, M, Minelli, C, Wheeler, H, Igl, W, Zaboli, G, Wild, S, Wright, A, Ellinghaus, D, Nöthlings, U, Jacobs, G, Biffar, R, Endlich, K, Ernst, F, Kroemer, H, Nauck, M, Stracke, S, Völzke, H, Aulchenko, Y, Polasek, O, Hastie, N, Vitart, V, Helmer, C, Wang, J, Ruggiero, D, Bergmann, S, Nikopensius, T, Province, M, Ketkar, S, Colhoun, H, Robino, A, Giulianini, F, Krämer, B, Portas, L, Ford, I, Buckley, B, Adam, M, Thun, G, Sala, C, Metzger, M, Mitchell, P, Ciullo, M, Kim, S, Gasparini, P, Pirastu, M, Jukema, J, Probst Hensch, N, Toniolo, D, Coresh, J, Schmidt, R, Kardia, S, Curhan, G, Gyllensten, U, Franke, A, Rettig, R, Parsa, A, Goessling, W, Kao, W, de Boer, I, Peralta, C, Akylbekova, E, Kramer, H, van der Harst, P, Arking, D, Franceschini, N, Hernandez, D, Townsend, R, Lumley, T, Kestenbaum, B, Haritunians, T, Waeber, G, Lu, X, Leak, T, Aasarød, K, Skorpen, F, Baumert, J, Devuyst, O, Mychaleckyj, J, Hallan, S, Navis, G, Shlipak, M, Bull, S, Paterson, A, Rotter, J, Beckmann, J, Dreisbach, A, Styrkarsdottir, U, Evangelou, E, Hsu, Y, Duncan, E, Ntzani, E, Oei, L, Albagha, O, Kemp, J, Koller, D, Minster, R, Vandenput, L, Willner, D, Xiao, S, Yerges Armstrong, L, Zheng, H, Alonso, N, Kammerer, C, Kaptoge, S, Leo, P, Wilson, S, Aalto, V, Alen, M, Aragaki, A, Center, J, Dailiana, Z, Duggan, D, Garcia Giralt, N, Giroux, S, Hocking, L, Husted, L, Jameson, K, Khusainova, R, Kim, G, Koromila, T, Kruk, M, Laaksonen, M, Lacroix, A, Lee, S, Leung, P, Lewis, J, Masi, L, Mencej Bedrac, S, Nguyen, T, Nogues, X, Patel, M, Prezelj, J, Scollen, S, Siggeirsdottir, K, Svensson, O, Trummer, O, van Schoor, N, Woo, J, Zhu, K, Balcells, S, Brandi, M, Cheng, S, Christiansen, C, Cooper, C, Frost, M, Goltzman, D, González Macías, J, Karlsson, M, Khusnutdinova, E, Koh, J, Kollia, P, Langdahl, B, Leslie, W, Lips, P, Ljunggren, Ö, Lorenc, R, Marc, J, Mellström, D, Obermayer Pietsch, B, Olmos, J, Pettersson Kymmer, U, Reid, D, Riancho, J, Rousseau, F, Tang, N, Urreizti, R, Van Hul, W, Zarrabeitia, M, Castano Betancourt, M, Herrera, L, Ingvarsson, T, Johannsdottir, H, Kwan, T, Li, R, Luben, R, Medina Gómez, C, Palsson, S, Reppe, S, Sigurdsson, G, van Meurs, J, Verlaan, D, Williams, F, Zhou, Y, Gautvik, K, Raychaudhuri, S, Cauley, J, Clark, G, Cummings, S, Danoy, P, Dennison, E, Eastell, R, Eisman, J, Jackson, R, Jones, G, Khaw, K, Mccloskey, E, Nandakumar, K, Peacock, M, Pols, H, Prince, R, Reid, I, Robbins, J, Sambrook, P, Sham, P, Tylavsky, F, Econs, M, Kung, A, Reeve, J, Streeten, E, Karasik, D, Ralston, S, Ioannidis, J, Kiel, D, Forsblom, C, Isakova, T, Mckay, G, Williams, W, Sadlier, D, Mäkinen, V, Swan, E, Boright, A, Ahlqvist, E, Keller, B, Huang, H, Ahola, A, Fagerholm, E, Gordin, D, Harjutsalo, V, He, B, Heikkilä, O, Hietala, K, Kytö, J, Lahermo, P, Lehto, M, Österholm, A, Parkkonen, M, Pitkäniemi, J, Rosengård Bärlund, M, Saraheimo, M, Sarti, C, Söderlund, J, Soro Paavonen, A, Syreeni, A, Thorn, L, Tikkanen, H, Tolonen, N, Tryggvason, K, Wadén, J, Gill, G, Prior, S, Guiducci, C, Mirel, D, Taylor, A, Hosseini, M, Parving, H, Rossing, P, Tarnow, L, Ladenvall, C, Alhenc Gelas, F, Lefebvre, P, Rigalleau, V, Roussel, R, Tregouet, D, Maestroni, A, Maestroni, S, Falhammar, H, Gu, T, Möllsten, A, Cimponeriu, D, Mihai, I, Mota, M, Mota, E, Serafinceanu, C, Stavarachi, M, Hanson, R, Nelson, R, Kretzler, M, Panduru, N, Gu, H, Brismar, K, Zerbini, G, Hadjadj, S, Marre, M, Lajer, M, Waggott, D, Savage, D, Bain, S, Martin, F, Godson, C, Groop, P, Maxwell, A, Sengupta, S, Peloso, G, Ganna, A, Mora, S, Chang, H, Den Hertog, H, Donnelly, L, Fraser, R, Freitag, D, Gurdasani, D, Kaakinen, M, Kettunen, J, Li, X, Montasser, M, Petersen, A, Saxena, R, Service, S, Sidore, C, Surakka, I, Van den Herik, E, Volcik, K, Asiki, G, Been, L, Bolton, J, Bonnycastle, L, Burnett, M, Cesana, G, Elliott, P, Eyjolfsson, G, Goodarzi, M, Gravito, M, Hartikainen, A, Hung, Y, Jones, M, Kaleebu, P, Kastelein, J, Kim, E, Komulainen, P, Lin, S, Nieminen, T, Nsubuga, R, Olafsson, I, Palotie, A, Papamarkou, T, Pomilla, C, Pouta, A, Ruokonen, A, Seeley, J, Silander, K, Stančáková, A, Tiret, L, van Pelt, L, Wainwright, N, Wijmenga, C, Willemsen, G, Young, E, Bennett, F, Boomsma, D, Bovet, P, Chen, Y, Feranil, A, Freimer, N, Hsiung, C, Järvelin, M, Kesäniemi, A, Koudstaal, P, Krauss, R, Kyvik, K, Martin, N, Meneton, P, Moilanen, L, Njølstad, I, Price, J, Sanghera, D, Sheu, W, Whitfield, J, Wolffenbuttel, B, Ordovas, J, Rich, S, Johnson, L, Larson, M, Levy, D, Newton Cheh, C, O'Reilly, P, Palmas, W, Rice, K, Snider, H, Tobin, M, Verwoert, G, Pihur, V, Heath, S, Sõber, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjögren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Grässler, J, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Stanèáková, A, Raffel, L, Yao, J, Schwartz, S, Ikram, M, Longstreth W., J, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Morken, M, Laitinen, J, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Würtz, P, Ong, R, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Dominiczak, A, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Anderson, C, Gordon, S, Guo, Q, Henders, A, Lambert, A, Kraft, P, Kennedy, S, Macgregor, S, Missmer, S, Painter, J, Roseman, F, Treloar, S, Wallace, L, Alizadeh, B, de Boer, R, Boezen, H, van der Klauw, M, Ormel, J, Postma, D, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Lecoeur, C, Johnson, P, Hottenga, J, Salo, P, Bielak, L, Zhao, W, Horikoshi, M, Navarro, P, Chen, H, Rybin, D, Song, K, An, P, Marullo, L, Jansen, H, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Toenjes, A, Peyser, P, Körner, A, Cucca, F, Balkau, B, Bouatia Naji, N, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Hedman, Å, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Higashio, J, Williams, R, Nato, A, Ambite, J, Manolio, T, Hindorff, L, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown Gentry, K, Thornton Wells, T, Dumitrescu, L, Jeff, J, Bush, W, Mitchell, S, Goodloe, R, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Zheng, W, Spencer, K, Pendergrass, S, Wilkens, L, Park, L, Tiirikainen, M, Kolonel, L, Lim, U, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Schumacher, F, Anderson, G, Carlson, C, Prentice, R, Wu, C, Carty, C, Gong, J, Rosse, S, Young, A, Haessler, J, Kocarnik, J, Lin, Y, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chanock, S, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hall, P, Hankinson, S, Hass, M, Heath, A, Janssens, A, Keyzer, J, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Medland, S, Melzer, D, Newman, A, Paré, G, Peeters, P, Pop, V, Räikkönen, K, Salumets, A, Smith, J, Stacey, S, Starr, J, Stathopoulou, M, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Wallaschofski, H, Widen, E, Wijnands van Gent, C, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Feenstra, B, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Easton, D, Foroud, T, Geller, F, Kilpeläinen, T, Li, S, Melbye, M, Murray, J, Murray, S, Ness, A, Northstone, K, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segrè, A, Sovio, U, Srinivasan, S, Tammesoo, M, Tyrer, J, Weedon, M, Young, L, Bierut, L, Boyd, H, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes

Subjects
Adipose Tissue/metabolism, Male, genetic association, subcutaneous fat, Transcription, Genetic, Adipocytes, Adipogenesis, Adipose Tissue, Age Factors, Body Mass Index, Continental Population Groups, Epigenesis, Genetic, Europe, Female, Genome, Human, Humans, Insulin, Insulin Resistance, Models, Biological, Neovascularization, Physiologic, Obesity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Sex Characteristics, Waist-Hip Ratio, Body Fat Distribution, Genome-Wide Association Study, Multidisciplinary, Insulin Resistance/genetics, Genome-wide association study, Continental Population Groups/genetics, genetic analysis, heritability, gene cluster, Science::Biological sciences::Human anatomy and physiology [DRNTU], 0302 clinical medicine, high density lipoprotein cholesterol, Models, genetics [Insulin Resistance], histone modification, Age Factor, insulin receptor, 0303 health sciences, Adipocyte, Human/genetics, CARDIOGRAMplusC4D Consortium, ADIPOGENIC DIFFERENTIATION, genetic correlation, body fat, Continental Population Group, priority journal, 5 trisphosphate 3 phosphatase, GEFOS Consortium, meta analysis (topic), Science & Technology - Other Topics, ddc:500, transcription regulation, Adipogenesis/genetics, Single Nucleotide/genetics, Human, medicine.medical_specialty, Waist, phosphatidylinositol 3, European, ta3111, genetic regulation, Article, developmental biology, 03 medical and health sciences, MAGIC Investigators, transcription initiation site, SDG 3 - Good Health and Well-being, Genetic, genomics, GLYCEMIC TRAITS, genetics [Continental Population Groups], Polymorphism, GENOME-WIDE ASSOCIATION, Physiologic, genetics [Adipogenesis], Adipocytes/metabolism, Europe/ethnology, Genome, Human/genetics, Insulin/metabolism, Neovascularization, Physiologic/genetics, Obesity/genetics, Polymorphism, Single Nucleotide/genetics, Quantitative Trait Loci/genetics, Transcription, Genetic/genetics, Genetic/genetics, Adipogenesi, Science & Technology, adiponectin, [ SDV ] Life Sciences [q-bio], vasculotropin, genetics [Quantitative Trait Loci], ta1184, Racial Groups, ta1182, gene mapping, ta3121, triacylglycerol blood level, medicine.disease, Biological, major clinical study, amino acid sequence, metabolism [Insulin], Endocrinology, metabolism [Adipocytes], genetic loci, insulin, body fat, GLGC, International Endogene Consortium, metabolism [Adipose Tissue], Body mass index, HUMAN HEIGHT, Epigenesis, LifeLines Cohort Study, ReproGen Consortium, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, tissue level, Physiologic/genetics, [SDV]Life Sciences [q-bio], Medizin, Adipose tissue, low density lipoprotein cholesterol, PAGE Consortium, COMMON SNPS, angiogenesis, Waist–hip ratio, genetics [Obesity], MESH: Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, single nucleotide polymorphism, fat, genetic variability, molecular biology, body mass index (BMI), ethnology [Europe], peroxisome proliferator activated receptor, 2. Zero hunger, Genetics, Genome, Single Nucleotide, waist circumference, insulin, phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase, triacylglycerol, vasculotropin, developmental biology, gene expression, genome, numerical model, adipocyte, adipose tissue, body fat distribution, body mass, female, gene locus, gene structure, hip circumference, human, insulin resistance, lipoprotein blood level, male, obesity, protein protein interaction, sex difference, waist hip ratio, Multidisciplinary Sciences, genetics [Transcription, Genetic], genetics [Polymorphism, Single Nucleotide], ADIPOGen Consortium, genetics [Neovascularization, Physiologic], Transcription, SUSCEPTIBILITY LOCI, General Science & Technology, ICBP, 030209 endocrinology & metabolism, Biology, adipocyte, MESH : Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, MESENCHYMAL STEM-CELLS, GENIE Consortium, SEXUAL-DIMORPHISM, Insulin resistance, Internal medicine, medicine, genetics [Genome, Human], ABDOMINAL ADIPOSITY, Neovascularization, 030304 developmental biology, FALSE DISCOVERY, CKDGen Consortium, Sex Characteristic, MuTHER Consortium, numerical model
Abstract

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P

Published
2015

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