TY - JOUR T1 - Associations between common fibrinogen gene polymorphisms and cardiovascular disease in older adults. The Cardiovascular Health Study. JF - Thromb Haemost Y1 - 2008 A1 - Carty, Cara L A1 - Cushman, Mary A1 - Jones, Daniel A1 - Lange, Leslie A A1 - Hindorff, Lucia A A1 - Rice, Kenneth A1 - Jenny, Nancy S A1 - Durda, J Peter A1 - Walston, Jeremy A1 - Carlson, Christopher S A1 - Nickerson, Debbie A1 - Tracy, Russell P A1 - Reiner, Alex P KW - African Americans KW - Age Factors KW - Aged KW - Brain Ischemia KW - Cardiovascular Diseases KW - Carotid Artery Diseases KW - European Continental Ancestry Group KW - Female KW - Fibrinogen KW - Gene Frequency KW - Genetic Predisposition to Disease KW - Haplotypes KW - Humans KW - Male KW - Myocardial Infarction KW - Polymorphism, Single Nucleotide KW - Population Surveillance KW - Proportional Hazards Models KW - Prospective Studies KW - Reproducibility of Results KW - Risk Assessment KW - Risk Factors KW - Sex Factors KW - Stroke KW - United States AB -

Elevated plasma fibrinogen is a risk factor for cardiovascular disease (CVD), but associations between fibrinogen single nucleotide polymorphisms (SNPs) and disease risk are inconsistent. We investigated whether common (> or = 5% minor allele frequency) variation in the fibrinogen genes (FGA, FGB, FGG) is associated with fibrinogen concentration, carotid artery intima-medial thickness (IMT) and risk of incident myocardial infarction (MI), ischemic stroke and CVD mortality in European- (EA) and African-descent (AA) adults (> or = 65 years) from the Cardiovascular Health Study. TagSNPs were genotyped in 3,969 EA and 719 AA free of MI or stroke at baseline. Race-specific models included multiple testing correction and adjustment for sex, age and site. Among EA, minor alleles of FGA3807, FGB1437 and FGG902 were associated with higher fibrinogen levels; whereas FGA251, FGA2224, FGA6534 and FGG10034 were associated with lower levels, p<0.004 for each. Strongest associations were seen for FGB1437; each additional copy of the minor allele was associated with 13 mg/dl (95%CI: 9-16) higher fibrinogen level. Similar trends in AA were not significant. Fibrinogen haplotypes were not significantly associated with internal or common carotid IMT. No associations with MI or CVD mortality were seen in EA, though FGB1038 and FGG902 were significantly associated with increased and decreased risk of stroke in men, respectively, as were related haplotypes. FGB1038 was also associated with CVD mortality in AA, HR = 1.9 (95%CI: 1.3-2.7). In conclusion, while fibrinogen genetic variation was strongly associated with fibrinogen levels, there was less evidence of association with the more complex outcomes of IMT and CVD events.

VL - 99 IS - 2 U1 - https://www.ncbi.nlm.nih.gov/pubmed/18278190?dopt=Abstract ER - TY - JOUR T1 - Inflammation and stress-related candidate genes, plasma interleukin-6 levels, and longevity in older adults. JF - Exp Gerontol Y1 - 2009 A1 - Walston, Jeremy D A1 - Matteini, Amy M A1 - Nievergelt, Caroline A1 - Lange, Leslie A A1 - Fallin, Dani M A1 - Barzilai, Nir A1 - Ziv, Elad A1 - Pawlikowska, Ludmila A1 - Kwok, Pui A1 - Cummings, Steve R A1 - Kooperberg, Charles A1 - LaCroix, Andrea A1 - Tracy, Russell P A1 - Atzmon, Gil A1 - Lange, Ethan M A1 - Reiner, Alex P KW - Aged KW - Aged, 80 and over KW - Aging KW - Cardiovascular Diseases KW - Case-Control Studies KW - Female KW - Genetic Variation KW - Genotype KW - Humans KW - Inflammation KW - Interleukin-6 KW - Longevity KW - Male KW - Phenotype KW - Poly (ADP-Ribose) Polymerase-1 KW - Poly(ADP-ribose) Polymerases KW - Risk Factors AB -

Interleukin-6 (IL-6) is an inflammatory cytokine that influences the development of inflammatory and aging-related disorders and ultimately longevity. In order to study the influence of variants in genes that regulate inflammatory response on IL-6 levels and longevity, we screened a panel of 477 tag SNPs across 87 candidate genes in >5000 older participants from the population-based Cardiovascular Health Study (CHS). Baseline plasma IL-6 concentration was first confirmed as a strong predictor of all-cause mortality. Functional alleles of the IL6R and PARP1 genes were significantly associated with 15%-20% higher baseline IL-6 concentration per copy among CHS European-American (EA) participants (all p<10(-4)). In a case/control analysis nested within this EA cohort, the minor allele of PARP1 rs1805415 was nominally associated with decreased longevity (p=0.001), but there was no evidence of association between IL6R genotype and longevity. The PARP1 rs1805415--longevity association was subsequently replicated in one of two independent case/control studies. In a pooled analysis of all three studies, the "risk" of longevity associated with the minor allele of PARP1 rs1805415 was 0.79 (95%CI 0.62-1.02; p=0.07). These findings warrant further study of the potential role of PARP1 genotype in inflammatory and aging-related phenotypes.

VL - 44 IS - 5 U1 - https://www.ncbi.nlm.nih.gov/pubmed/19249341?dopt=Abstract ER - TY - JOUR T1 - Genetic ancestry in lung-function predictions. JF - N Engl J Med Y1 - 2010 A1 - Kumar, Rajesh A1 - Seibold, Max A A1 - Aldrich, Melinda C A1 - Williams, L Keoki A1 - Reiner, Alex P A1 - Colangelo, Laura A1 - Galanter, Joshua A1 - Gignoux, Christopher A1 - Hu, Donglei A1 - Sen, Saunak A1 - Choudhry, Shweta A1 - Peterson, Edward L A1 - Rodriguez-Santana, Jose A1 - Rodriguez-Cintron, William A1 - Nalls, Michael A A1 - Leak, Tennille S A1 - O'Meara, Ellen A1 - Meibohm, Bernd A1 - Kritchevsky, Stephen B A1 - Li, Rongling A1 - Harris, Tamara B A1 - Nickerson, Deborah A A1 - Fornage, Myriam A1 - Enright, Paul A1 - Ziv, Elad A1 - Smith, Lewis J A1 - Liu, Kiang A1 - Burchard, Esteban González KW - Adolescent KW - Adult KW - African Americans KW - Aged KW - Aged, 80 and over KW - Female KW - Forced Expiratory Volume KW - Genetic Markers KW - Genotype KW - Humans KW - Linear Models KW - Male KW - Middle Aged KW - Oligonucleotide Array Sequence Analysis KW - Reference Values KW - Respiratory Function Tests KW - Vital Capacity KW - Young Adult AB -

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

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

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

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

VL - 363 IS - 4 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20647190?dopt=Abstract ER - TY - JOUR T1 - Study of the relationship between the interleukin-6 gene and obstructive sleep apnea. JF - Clin Transl Sci Y1 - 2010 A1 - Larkin, Emma K A1 - Patel, Sanjay R A1 - Zhu, Xiaofeng A1 - Tracy, Russell P A1 - Jenny, Nancy S A1 - Reiner, Alex P A1 - Walston, Jeremy A1 - Redline, Susan KW - Adult KW - African Americans KW - Alleles KW - Female KW - Humans KW - Interleukin-6 KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Sleep Apnea, Obstructive VL - 3 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21207764?dopt=Abstract ER - TY - JOUR T1 - Association of genetic variants and incident coronary heart disease in multiethnic cohorts: the PAGE study. JF - Circ Cardiovasc Genet Y1 - 2011 A1 - Franceschini, Nora A1 - Carty, Cara A1 - Bůzková, Petra A1 - Reiner, Alex P A1 - Garrett, Tiana A1 - Lin, Yi A1 - Vöckler, Jens-S A1 - Hindorff, Lucia A A1 - Cole, Shelley A A1 - Boerwinkle, Eric A1 - Lin, Dan-Yu A1 - Bookman, Ebony A1 - Best, Lyle G A1 - Bella, Jonathan N A1 - Eaton, Charles A1 - Greenland, Philip A1 - Jenny, Nancy A1 - North, Kari E A1 - Taverna, Darin A1 - Young, Alicia M A1 - Deelman, Ewa A1 - Kooperberg, Charles A1 - Psaty, Bruce A1 - Heiss, Gerardo KW - Aged KW - Aged, 80 and over KW - Continental Population Groups KW - Coronary Disease KW - Female KW - Genome-Wide Association Study KW - Humans KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Prospective Studies AB -

BACKGROUND: Genome-wide association studies identified several single nucleotide polymorphisms (SNP) associated with prevalent coronary heart disease (CHD), but less is known of associations with incident CHD. The association of 13 published CHD SNPs was examined in 5 ancestry groups of 4 large US prospective cohorts.

METHODS AND RESULTS: The analyses included incident coronary events over an average 9.1 to 15.7 follow-up person-years in up to 26 617 white individuals (6626 events), 8018 black individuals (914 events), 1903 Hispanic individuals (113 events), 3669 American Indian individuals (595 events), and 885 Asian/Pacific Islander individuals (66 events). We used Cox proportional hazards models (with additive mode of inheritance) adjusted for age, sex, and ancestry (as needed). Nine loci were statistically associated with incident CHD events in white participants: 9p21 (rs10757278; P=4.7 × 10(-41)), 16q23.1 (rs2549513; P=0.0004), 6p24.1 (rs499818; P=0.0002), 2q36.3 (rs2943634; P=6.7 × 10(-6)), MTHFD1L (rs6922269, P=5.1 × 10(-10)), APOE (rs429358; P=2.7×10(-18)), ZNF627 (rs4804611; P=5.0 × 10(-8)), CXCL12 (rs501120; P=1.4 × 10(-6)) and LPL (rs268; P=2.7 × 10(-17)). The 9p21 region showed significant between-study heterogeneity, with larger effects in individuals age 55 years or younger and in women. Inclusion of coronary revascularization procedures among the incident CHD events introduced heterogeneity. The SNPs were not associated with CHD in black participants, and associations varied in other US minorities.

CONCLUSIONS: Prospective analyses of white participants replicated several reported cross-sectional CHD-SNP associations.

VL - 4 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/22042884?dopt=Abstract ER - TY - JOUR T1 - Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies. JF - Lancet Neurol Y1 - 2012 A1 - Traylor, Matthew A1 - Farrall, Martin A1 - Holliday, Elizabeth G A1 - Sudlow, Cathie A1 - Hopewell, Jemma C A1 - Cheng, Yu-Ching A1 - Fornage, Myriam A1 - Ikram, M Arfan A1 - Malik, Rainer A1 - Bevan, Steve A1 - Thorsteinsdottir, Unnur A1 - Nalls, Mike A A1 - Longstreth, Wt A1 - Wiggins, Kerri L A1 - Yadav, Sunaina A1 - Parati, Eugenio A A1 - DeStefano, Anita L A1 - Worrall, Bradford B A1 - Kittner, Steven J A1 - Khan, Muhammad Saleem A1 - Reiner, Alex P A1 - Helgadottir, Anna A1 - Achterberg, Sefanja A1 - Fernandez-Cadenas, Israel A1 - Abboud, Sherine A1 - Schmidt, Reinhold A1 - Walters, Matthew A1 - Chen, Wei-Min A1 - Ringelstein, E Bernd A1 - O'Donnell, Martin A1 - Ho, Weang Kee A1 - Pera, Joanna A1 - Lemmens, Robin A1 - Norrving, Bo A1 - Higgins, Peter A1 - Benn, Marianne A1 - Sale, Michele A1 - Kuhlenbäumer, Gregor A1 - Doney, Alexander S F A1 - Vicente, Astrid M A1 - Delavaran, Hossein A1 - Algra, Ale A1 - Davies, Gail A1 - Oliveira, Sofia A A1 - Palmer, Colin N A A1 - Deary, Ian A1 - Schmidt, Helena A1 - Pandolfo, Massimo A1 - Montaner, Joan A1 - Carty, Cara A1 - de Bakker, Paul I W A1 - Kostulas, Konstantinos A1 - Ferro, Jose M A1 - van Zuydam, Natalie R A1 - Valdimarsson, Einar A1 - Nordestgaard, Børge G A1 - Lindgren, Arne A1 - Thijs, Vincent A1 - Slowik, Agnieszka A1 - Saleheen, Danish A1 - Paré, Guillaume A1 - Berger, Klaus A1 - Thorleifsson, Gudmar A1 - Hofman, Albert A1 - Mosley, Thomas H A1 - Mitchell, Braxton D A1 - Furie, Karen A1 - Clarke, Robert A1 - Levi, Christopher A1 - Seshadri, Sudha A1 - Gschwendtner, Andreas A1 - Boncoraglio, Giorgio B A1 - Sharma, Pankaj A1 - Bis, Joshua C A1 - Gretarsdottir, Solveig A1 - Psaty, Bruce M A1 - Rothwell, Peter M A1 - Rosand, Jonathan A1 - Meschia, James F A1 - Stefansson, Kari A1 - Dichgans, Martin A1 - Markus, Hugh S KW - Brain Ischemia KW - Databases, Genetic KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Risk Factors KW - Stroke AB -

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

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

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

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

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

VL - 11 IS - 11 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23041239?dopt=Abstract ER - TY - JOUR T1 - Novel loci associated with PR interval in a genome-wide association study of 10 African American cohorts. JF - Circ Cardiovasc Genet Y1 - 2012 A1 - Butler, Anne M A1 - Yin, Xiaoyan A1 - Evans, Daniel S A1 - Nalls, Michael A A1 - Smith, Erin N A1 - Tanaka, Toshiko A1 - Li, Guo A1 - Buxbaum, Sarah G A1 - Whitsel, Eric A A1 - Alonso, Alvaro A1 - Arking, Dan E A1 - Benjamin, Emelia J A1 - Berenson, Gerald S A1 - Bis, Josh C A1 - Chen, Wei A1 - Deo, Rajat A1 - Ellinor, Patrick T A1 - Heckbert, Susan R A1 - Heiss, Gerardo A1 - Hsueh, Wen-Chi A1 - Keating, Brendan J A1 - Kerr, Kathleen F A1 - Li, Yun A1 - Limacher, Marian C A1 - Liu, Yongmei A1 - Lubitz, Steven A A1 - Marciante, Kristin D A1 - Mehra, Reena A1 - Meng, Yan A A1 - Newman, Anne B A1 - Newton-Cheh, Christopher A1 - North, Kari E A1 - Palmer, Cameron D A1 - Psaty, Bruce M A1 - Quibrera, P Miguel A1 - Redline, Susan A1 - Reiner, Alex P A1 - Rotter, Jerome I A1 - Schnabel, Renate B A1 - Schork, Nicholas J A1 - Singleton, Andrew B A1 - Smith, J Gustav A1 - Soliman, Elsayed Z A1 - Srinivasan, Sathanur R A1 - Zhang, Zhu-Ming A1 - Zonderman, Alan B A1 - Ferrucci, Luigi A1 - Murray, Sarah S A1 - Evans, Michele K A1 - Sotoodehnia, Nona A1 - Magnani, Jared W A1 - Avery, Christy L KW - Adult KW - African Americans KW - Cohort Studies KW - Electrocardiography KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Male KW - Meta-Analysis as Topic KW - Middle Aged KW - Polymorphism, Single Nucleotide AB -

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

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

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

VL - 5 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23139255?dopt=Abstract ER - TY - JOUR T1 - Transforming growth factor beta-1 and incidence of heart failure in older adults: the Cardiovascular Health Study. JF - Cytokine Y1 - 2012 A1 - Glazer, Nicole L A1 - Macy, Elizabeth M A1 - Lumley, Thomas A1 - Smith, Nicholas L A1 - Reiner, Alex P A1 - Psaty, Bruce M A1 - King, George L A1 - Tracy, Russell P A1 - Siscovick, David S KW - Aged KW - Case-Control Studies KW - Health KW - Heart Failure KW - Humans KW - Incidence KW - Transforming Growth Factor beta1 KW - United States AB -

CONTEXT: Transforming growth factor-beta1 (TGF-B1) is a highly pleiotropic cytokine whose functions include a central role in the induction of fibrosis.

OBJECTIVE: To investigate the hypothesis that elevated plasma levels of TGF-B1 are positively associated with incident heart failure (HF).

PARTICIPANTS AND METHODS: The hypotheses were tested using a two-phase case-control study design, ancillary to the Cardiovascular Health Study - a longitudinal, population-based cohort study. Cases were defined as having an incident HF event after their 1992-1993 exam and controls were free of HF at follow-up. TGF-B1 was measured using plasma collected in 1992-1993 and data from 89 cases and 128 controls were used for analysis. The association between TGF-B1 and risk of HF was evaluated using the weighted likelihood method, and odds ratios (OR) for risk of HF were calculated for TGF-B1 as a continuous linear variable and across quartiles of TGF-B1.

RESULTS: The OR for HF was 1.88 (95% confidence intervals [CI] 1.26-2.81) for each nanogram increase in TGF-B1, and the OR for the highest quartile (compared to the lowest) of TGF-B1 was 5.79 (95% CI 1.65-20.34), after adjustment for age, sex, C-reactive protein, platelet count and digoxin use. Further adjustment with other covariates did not change the results.

CONCLUSIONS: Higher levels of plasma TGF-B1 were associated with an increased risk of incident heart failure among older adults. However, further study is needed in larger samples to confirm these findings.

VL - 60 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/22878343?dopt=Abstract ER - TY - JOUR T1 - Ultraconserved elements in the human genome: association and transmission analyses of highly constrained single-nucleotide polymorphisms. JF - Genetics Y1 - 2012 A1 - Chiang, Charleston W K A1 - Liu, Ching-Ti A1 - Lettre, Guillaume A1 - Lange, Leslie A A1 - Jorgensen, Neal W A1 - Keating, Brendan J A1 - Vedantam, Sailaja A1 - Nock, Nora L A1 - Franceschini, Nora A1 - Reiner, Alex P A1 - Demerath, Ellen W A1 - Boerwinkle, Eric A1 - Rotter, Jerome I A1 - Wilson, James G A1 - North, Kari E A1 - Papanicolaou, George J A1 - Cupples, L Adrienne A1 - Murabito, Joanne M A1 - Hirschhorn, Joel N KW - Alleles KW - Animals KW - Body Height KW - Body Mass Index KW - Child KW - Conserved Sequence KW - Dogs KW - Evolution, Molecular KW - Female KW - Genetic Fitness KW - Genetic Variation KW - Genome, Human KW - Genotype KW - Humans KW - Inheritance Patterns KW - Male KW - Mice KW - Pedigree KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Rats KW - Reproduction KW - Young Adult AB -

Ultraconserved elements in the human genome likely harbor important biological functions as they are dosage sensitive and are able to direct tissue-specific expression. Because they are under purifying selection, variants in these elements may have a lower frequency in the population but a higher likelihood of association with complex traits. We tested a set of highly constrained SNPs (hcSNPs) distributed genome-wide among ultraconserved and nearly ultraconserved elements for association with seven traits related to reproductive (age at natural menopause, number of children, age at first child, and age at last child) and overall [longevity, body mass index (BMI), and height] fitness. Using up to 24,047 European-American samples from the National Heart, Lung, and Blood Institute Candidate Gene Association Resource (CARe), we observed an excess of associations with BMI and height. In an independent replication panel the most strongly associated SNPs showed an 8.4-fold enrichment of associations at the nominal level, including three variants in previously identified loci and one in a locus (DENND1A) previously shown to be associated with polycystic ovary syndrome. Finally, using 1430 family trios, we showed that the transmissions from heterozygous parents to offspring of the derived alleles of rare (frequency ≤ 0.5%) hcSNPs are not biased, particularly after adjusting for the rates of genotype missingness and error in the data. The lack of transmission bias ruled out an immediately and strongly deleterious effect due to the rare derived alleles, consistent with the observation that mice homozygous for the deletion of ultraconserved elements showed no overt phenotype. Our study also illustrated the importance of carefully modeling potential technical confounders when analyzing genotype data of rare variants.

VL - 192 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/22714408?dopt=Abstract ER - TY - JOUR T1 - A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry. JF - Nat Genet Y1 - 2013 A1 - Monda, Keri L A1 - Chen, Gary K A1 - Taylor, Kira C A1 - Palmer, Cameron A1 - Edwards, Todd L A1 - Lange, Leslie A A1 - Ng, Maggie C Y A1 - Adeyemo, Adebowale A A1 - Allison, Matthew A A1 - Bielak, Lawrence F A1 - Chen, Guanjie A1 - Graff, Mariaelisa A1 - Irvin, Marguerite R A1 - Rhie, Suhn K A1 - Li, Guo A1 - Liu, Yongmei A1 - Liu, Youfang A1 - Lu, Yingchang A1 - Nalls, Michael A A1 - Sun, Yan V A1 - Wojczynski, Mary K A1 - Yanek, Lisa R A1 - Aldrich, Melinda C A1 - Ademola, Adeyinka A1 - Amos, Christopher I A1 - Bandera, Elisa V A1 - Bock, Cathryn H A1 - Britton, Angela A1 - Broeckel, Ulrich A1 - Cai, Quiyin A1 - Caporaso, Neil E A1 - Carlson, Chris S A1 - Carpten, John A1 - Casey, Graham A1 - Chen, Wei-Min A1 - Chen, Fang A1 - Chen, Yii-der I A1 - Chiang, Charleston W K A1 - Coetzee, Gerhard A A1 - Demerath, Ellen A1 - Deming-Halverson, Sandra L A1 - Driver, Ryan W A1 - Dubbert, Patricia A1 - Feitosa, Mary F A1 - Feng, Ye A1 - Freedman, Barry I A1 - Gillanders, Elizabeth M A1 - Gottesman, Omri A1 - Guo, Xiuqing A1 - Haritunians, Talin A1 - Harris, Tamara A1 - Harris, Curtis C A1 - Hennis, Anselm J M A1 - Hernandez, Dena G A1 - McNeill, Lorna H A1 - Howard, Timothy D A1 - Howard, Barbara V A1 - Howard, Virginia J A1 - Johnson, Karen C A1 - Kang, Sun J A1 - Keating, Brendan J A1 - Kolb, Suzanne A1 - Kuller, Lewis H A1 - Kutlar, Abdullah A1 - Langefeld, Carl D A1 - Lettre, Guillaume A1 - Lohman, Kurt A1 - Lotay, Vaneet A1 - Lyon, Helen A1 - Manson, JoAnn E A1 - Maixner, William A1 - Meng, Yan A A1 - Monroe, Kristine R A1 - Morhason-Bello, Imran A1 - Murphy, Adam B A1 - Mychaleckyj, Josyf C A1 - Nadukuru, Rajiv A1 - Nathanson, Katherine L A1 - Nayak, Uma A1 - N'diaye, Amidou A1 - Nemesure, Barbara A1 - Wu, Suh-Yuh A1 - Leske, M Cristina A1 - Neslund-Dudas, Christine A1 - Neuhouser, Marian A1 - Nyante, Sarah A1 - Ochs-Balcom, Heather A1 - Ogunniyi, Adesola A1 - Ogundiran, Temidayo O A1 - Ojengbede, Oladosu A1 - Olopade, Olufunmilayo I A1 - Palmer, Julie R A1 - Ruiz-Narvaez, Edward A A1 - Palmer, Nicholette D A1 - Press, Michael F A1 - Rampersaud, Evandine A1 - Rasmussen-Torvik, Laura J A1 - Rodriguez-Gil, Jorge L A1 - Salako, Babatunde A1 - Schadt, Eric E A1 - Schwartz, Ann G A1 - Shriner, Daniel A A1 - Siscovick, David A1 - Smith, Shad B A1 - Wassertheil-Smoller, Sylvia A1 - Speliotes, Elizabeth K A1 - Spitz, Margaret R A1 - Sucheston, Lara A1 - Taylor, Herman A1 - Tayo, Bamidele O A1 - Tucker, Margaret A A1 - Van Den Berg, David J A1 - Edwards, Digna R Velez A1 - Wang, Zhaoming A1 - Wiencke, John K A1 - Winkler, Thomas W A1 - Witte, John S A1 - Wrensch, Margaret A1 - Wu, Xifeng A1 - Yang, James J A1 - Levin, Albert M A1 - Young, Taylor R A1 - Zakai, Neil A A1 - Cushman, Mary A1 - Zanetti, Krista A A1 - Zhao, Jing Hua A1 - Zhao, Wei A1 - Zheng, Yonglan A1 - Zhou, Jie A1 - Ziegler, Regina G A1 - Zmuda, Joseph M A1 - Fernandes, Jyotika K A1 - Gilkeson, Gary S A1 - Kamen, Diane L A1 - Hunt, Kelly J A1 - Spruill, Ida J A1 - Ambrosone, Christine B A1 - Ambs, Stefan A1 - Arnett, Donna K A1 - Atwood, Larry A1 - Becker, Diane M A1 - Berndt, Sonja I A1 - Bernstein, Leslie A1 - Blot, William J A1 - Borecki, Ingrid B A1 - Bottinger, Erwin P A1 - Bowden, Donald W A1 - Burke, Gregory A1 - Chanock, Stephen J A1 - Cooper, Richard S A1 - Ding, Jingzhong A1 - Duggan, David A1 - Evans, Michele K A1 - Fox, Caroline A1 - Garvey, W Timothy A1 - Bradfield, Jonathan P A1 - Hakonarson, Hakon A1 - Grant, Struan F A A1 - Hsing, Ann A1 - Chu, Lisa A1 - Hu, Jennifer J A1 - Huo, Dezheng A1 - Ingles, Sue A A1 - John, Esther M A1 - Jordan, Joanne M A1 - Kabagambe, Edmond K A1 - Kardia, Sharon L R A1 - Kittles, Rick A A1 - Goodman, Phyllis J A1 - Klein, Eric A A1 - Kolonel, Laurence N A1 - Le Marchand, Loïc A1 - Liu, Simin A1 - McKnight, Barbara A1 - Millikan, Robert C A1 - Mosley, Thomas H A1 - Padhukasahasram, Badri A1 - Williams, L Keoki A1 - Patel, Sanjay R A1 - Peters, Ulrike A1 - Pettaway, Curtis A A1 - Peyser, Patricia A A1 - Psaty, Bruce M A1 - Redline, Susan A1 - Rotimi, Charles N A1 - Rybicki, Benjamin A A1 - Sale, Michèle M A1 - Schreiner, Pamela J A1 - Signorello, Lisa B A1 - Singleton, Andrew B A1 - Stanford, Janet L A1 - Strom, Sara S A1 - Thun, Michael J A1 - Vitolins, Mara A1 - Zheng, Wei A1 - Moore, Jason H A1 - Williams, Scott M A1 - Ketkar, Shamika A1 - Zhu, Xiaofeng A1 - Zonderman, Alan B A1 - Kooperberg, Charles A1 - Papanicolaou, George J A1 - Henderson, Brian E A1 - Reiner, Alex P A1 - Hirschhorn, Joel N A1 - Loos, Ruth J F A1 - North, Kari E A1 - Haiman, Christopher A KW - African Americans KW - Body Mass Index KW - Case-Control Studies KW - Gene Frequency KW - Genetic Loci KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Linkage Disequilibrium KW - Obesity KW - Polymorphism, Single Nucleotide AB -

Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one new locus at 5q33 (GALNT10, rs7708584, P = 3.4 × 10(-11)) and another at 7p15 when we included data from the GIANT consortium (MIR148A-NFE2L3, rs10261878, P = 1.2 × 10(-10)). We also found suggestive evidence of an association at a third locus at 6q16 in the African-ancestry sample (KLHL32, rs974417, P = 6.9 × 10(-8)). Thirty-two of the 36 previously established BMI variants showed directionally consistent effect estimates in our GWAS (binomial P = 9.7 × 10(-7)), five of which reached genome-wide significance. These findings provide strong support for shared BMI loci across populations, as well as for the utility of studying ancestrally diverse populations.

VL - 45 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23583978?dopt=Abstract ER - TY - JOUR T1 - Multiethnic meta-analysis of genome-wide association studies in >100 000 subjects identifies 23 fibrinogen-associated Loci but no strong evidence of a causal association between circulating fibrinogen and cardiovascular disease. JF - Circulation Y1 - 2013 A1 - Sabater-Lleal, Maria A1 - Huang, Jie A1 - Chasman, Daniel A1 - Naitza, Silvia A1 - Dehghan, Abbas A1 - Johnson, Andrew D A1 - Teumer, Alexander A1 - Reiner, Alex P A1 - Folkersen, Lasse A1 - Basu, Saonli A1 - Rudnicka, Alicja R A1 - Trompet, Stella A1 - Mälarstig, Anders A1 - Baumert, Jens A1 - Bis, Joshua C A1 - Guo, Xiuqing A1 - Hottenga, Jouke J A1 - Shin, So-Youn A1 - Lopez, Lorna M A1 - Lahti, Jari A1 - Tanaka, Toshiko A1 - Yanek, Lisa R A1 - Oudot-Mellakh, Tiphaine A1 - Wilson, James F A1 - Navarro, Pau A1 - Huffman, Jennifer E A1 - Zemunik, Tatijana A1 - Redline, Susan A1 - Mehra, Reena A1 - Pulanic, Drazen A1 - Rudan, Igor A1 - Wright, Alan F A1 - Kolcic, Ivana A1 - Polasek, Ozren A1 - Wild, Sarah H A1 - Campbell, Harry A1 - Curb, J David A1 - Wallace, Robert A1 - Liu, Simin A1 - Eaton, Charles B A1 - Becker, Diane M A1 - Becker, Lewis C A1 - Bandinelli, Stefania A1 - Räikkönen, Katri A1 - Widen, Elisabeth A1 - Palotie, Aarno A1 - Fornage, Myriam A1 - Green, David A1 - Gross, Myron A1 - Davies, Gail A1 - Harris, Sarah E A1 - Liewald, David C A1 - Starr, John M A1 - Williams, Frances M K A1 - Grant, Peter J A1 - Spector, Timothy D A1 - Strawbridge, Rona J A1 - Silveira, Angela A1 - Sennblad, Bengt A1 - Rivadeneira, Fernando A1 - Uitterlinden, André G A1 - Franco, Oscar H A1 - Hofman, Albert A1 - van Dongen, Jenny A1 - Willemsen, Gonneke A1 - Boomsma, Dorret I A1 - Yao, Jie A1 - Swords Jenny, Nancy A1 - Haritunians, Talin A1 - McKnight, Barbara A1 - Lumley, Thomas A1 - Taylor, Kent D A1 - Rotter, Jerome I A1 - Psaty, Bruce M A1 - Peters, Annette A1 - Gieger, Christian A1 - Illig, Thomas A1 - Grotevendt, Anne A1 - Homuth, Georg A1 - Völzke, Henry A1 - Kocher, Thomas A1 - Goel, Anuj A1 - Franzosi, Maria Grazia A1 - Seedorf, Udo A1 - Clarke, Robert A1 - Steri, Maristella A1 - Tarasov, Kirill V A1 - Sanna, Serena A1 - Schlessinger, David A1 - Stott, David J A1 - Sattar, Naveed A1 - Buckley, Brendan M A1 - Rumley, Ann A1 - Lowe, Gordon D A1 - McArdle, Wendy L A1 - Chen, Ming-Huei A1 - Tofler, Geoffrey H A1 - Song, Jaejoon A1 - Boerwinkle, Eric A1 - Folsom, Aaron R A1 - Rose, Lynda M A1 - Franco-Cereceda, Anders A1 - Teichert, Martina A1 - Ikram, M Arfan A1 - Mosley, Thomas H A1 - Bevan, Steve A1 - Dichgans, Martin A1 - Rothwell, Peter M A1 - Sudlow, Cathie L M A1 - Hopewell, Jemma C A1 - Chambers, John C A1 - Saleheen, Danish A1 - Kooner, Jaspal S A1 - Danesh, John A1 - Nelson, Christopher P A1 - Erdmann, Jeanette A1 - Reilly, Muredach P A1 - Kathiresan, Sekar A1 - Schunkert, Heribert A1 - Morange, Pierre-Emmanuel A1 - Ferrucci, Luigi A1 - Eriksson, Johan G A1 - Jacobs, David A1 - Deary, Ian J A1 - Soranzo, Nicole A1 - Witteman, Jacqueline C M A1 - de Geus, Eco J C A1 - Tracy, Russell P A1 - Hayward, Caroline A1 - Koenig, Wolfgang A1 - Cucca, Francesco A1 - Jukema, J Wouter A1 - Eriksson, Per A1 - Seshadri, Sudha A1 - Markus, Hugh S A1 - Watkins, Hugh A1 - Samani, Nilesh J A1 - Wallaschofski, Henri A1 - Smith, Nicholas L A1 - Tregouet, David A1 - Ridker, Paul M A1 - Tang, Weihong A1 - Strachan, David P A1 - Hamsten, Anders A1 - O'Donnell, Christopher J KW - Adolescent KW - Adult KW - African Continental Ancestry Group KW - Aged KW - Aged, 80 and over KW - Cardiovascular Diseases KW - Coronary Artery Disease KW - European Continental Ancestry Group KW - Female KW - Fibrinogen KW - Genetic Loci KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Hispanic Americans KW - Humans KW - Male KW - Middle Aged KW - Myocardial Infarction KW - Polymorphism, Single Nucleotide KW - Risk Factors KW - Stroke KW - Venous Thromboembolism KW - Young Adult AB -

BACKGROUND: Estimates of the heritability of plasma fibrinogen concentration, an established predictor of cardiovascular disease, range from 34% to 50%. Genetic variants so far identified by genome-wide association studies explain only a small proportion (<2%) of its variation.

METHODS AND RESULTS: We conducted a meta-analysis of 28 genome-wide association studies including >90 000 subjects of European ancestry, the first genome-wide association meta-analysis of fibrinogen levels in 7 studies in blacks totaling 8289 samples, and a genome-wide association study in Hispanics totaling 1366 samples. Evaluation for association of single-nucleotide polymorphisms with clinical outcomes included a total of 40 695 cases and 85 582 controls for coronary artery disease, 4752 cases and 24 030 controls for stroke, and 3208 cases and 46 167 controls for venous thromboembolism. Overall, we identified 24 genome-wide significant (P<5×10(-8)) independent signals in 23 loci, including 15 novel associations, together accounting for 3.7% of plasma fibrinogen variation. Gene-set enrichment analysis highlighted key roles in fibrinogen regulation for the 3 structural fibrinogen genes and pathways related to inflammation, adipocytokines, and thyrotrophin-releasing hormone signaling. Whereas lead single-nucleotide polymorphisms in a few loci were significantly associated with coronary artery disease, the combined effect of all 24 fibrinogen-associated lead single-nucleotide polymorphisms was not significant for coronary artery disease, stroke, or venous thromboembolism.

CONCLUSIONS: We identify 23 robustly associated fibrinogen loci, 15 of which are new. Clinical outcome analysis of these loci does not support a causal relationship between circulating levels of fibrinogen and coronary artery disease, stroke, or venous thromboembolism.

VL - 128 IS - 12 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23969696?dopt=Abstract ER - TY - JOUR T1 - Soluble CD14: genomewide association analysis and relationship to cardiovascular risk and mortality in older adults. JF - Arterioscler Thromb Vasc Biol Y1 - 2013 A1 - Reiner, Alex P A1 - Lange, Ethan M A1 - Jenny, Nancy S A1 - Chaves, Paulo H M A1 - Ellis, Jaclyn A1 - Li, Jin A1 - Walston, Jeremy A1 - Lange, Leslie A A1 - Cushman, Mary A1 - Tracy, Russell P KW - African Americans KW - Age Factors KW - Aged KW - Biomarkers KW - Cardiovascular Diseases KW - Chromosomes, Human, Pair 5 KW - European Continental Ancestry Group KW - Female KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Haplotypes KW - Hexosyltransferases KW - Humans KW - Incidence KW - Inflammation Mediators KW - Linear Models KW - Lipopolysaccharide Receptors KW - Logistic Models KW - Male KW - Membrane Proteins KW - Multivariate Analysis KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Principal Component Analysis KW - Prognosis KW - Proportional Hazards Models KW - Prospective Studies KW - Risk Assessment KW - Risk Factors KW - Time Factors KW - United States AB -

OBJECTIVE: CD14 is a glycosylphosphotidylinositol-anchored membrane glycoprotein expressed on neutrophils and monocytes/macrophages that also circulates as a soluble form (sCD14). Despite the well-recognized role of CD14 in inflammation, relatively little is known about the genetic determinants of sCD14 or the relationship of sCD14 to vascular- and aging-related phenotypes.

METHODS AND RESULTS: We measured baseline levels of sCD14 in >5000 European-American and black adults aged 65 years and older from the Cardiovascular Health Study, who were well characterized at baseline for atherosclerotic risk factors and subclinical cardiovascular disease, and who have been followed for clinical cardiovascular disease and mortality outcomes up to 20 years. At baseline, sCD14 generally showed strong positive correlations with traditional cardio-metabolic risk factors and with subclinical measures of vascular disease such as carotid wall thickness and ankle-brachial index (independently of traditional cardiovascular disease risk factors), and was also inversely correlated with body mass index. In genomewide association analyses of sCD14, we (1) confirmed the importance of the CD14 locus on chromosome 5q21 in European-American; (2) identified a novel African ancestry-specific allele of CD14 associated with lower sCD14 in blacks; and (3) identified a putative novel association in European-American of a nonsynonymous variant of PIGC, which encodes an enzyme required for the first step in glycosylphosphotidylinositol anchor biosynthesis. Finally, we show that, like other acute phase inflammatory biomarkers, sCD14 predicts incident cardiovascular disease, and strongly and independently predicts all-cause mortality in older adults.

CONCLUSIONS: CD14 independently predicts risk mortality in older adults.

VL - 33 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23162014?dopt=Abstract ER - TY - JOUR T1 - Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data. JF - BMJ Y1 - 2014 A1 - Holmes, Michael V A1 - Dale, Caroline E A1 - Zuccolo, Luisa A1 - Silverwood, Richard J A1 - Guo, Yiran A1 - Ye, Zheng A1 - Prieto-Merino, David A1 - Dehghan, Abbas A1 - Trompet, Stella A1 - Wong, Andrew A1 - Cavadino, Alana A1 - Drogan, Dagmar A1 - Padmanabhan, Sandosh A1 - Li, Shanshan A1 - Yesupriya, Ajay A1 - Leusink, Maarten A1 - Sundström, Johan A1 - Hubacek, Jaroslav A A1 - Pikhart, Hynek A1 - Swerdlow, Daniel I A1 - Panayiotou, Andrie G A1 - Borinskaya, Svetlana A A1 - Finan, Chris A1 - Shah, Sonia A1 - Kuchenbaecker, Karoline B A1 - Shah, Tina A1 - Engmann, Jorgen A1 - Folkersen, Lasse A1 - Eriksson, Per A1 - Ricceri, Fulvio A1 - Melander, Olle A1 - Sacerdote, Carlotta A1 - Gamble, Dale M A1 - Rayaprolu, Sruti A1 - Ross, Owen A A1 - McLachlan, Stela A1 - Vikhireva, Olga A1 - Sluijs, Ivonne A1 - Scott, Robert A A1 - Adamkova, Vera A1 - Flicker, Leon A1 - Bockxmeer, Frank M van A1 - Power, Christine A1 - Marques-Vidal, Pedro A1 - Meade, Tom A1 - Marmot, Michael G A1 - Ferro, Jose M A1 - Paulos-Pinheiro, Sofia A1 - Humphries, Steve E A1 - Talmud, Philippa J A1 - Mateo Leach, Irene A1 - Verweij, Niek A1 - Linneberg, Allan A1 - Skaaby, Tea A1 - Doevendans, Pieter A A1 - Cramer, Maarten J A1 - van der Harst, Pim A1 - Klungel, Olaf H A1 - Dowling, Nicole F A1 - Dominiczak, Anna F A1 - Kumari, Meena A1 - Nicolaides, Andrew N A1 - Weikert, Cornelia A1 - Boeing, Heiner A1 - Ebrahim, Shah A1 - Gaunt, Tom R A1 - Price, Jackie F A1 - Lannfelt, Lars A1 - Peasey, Anne A1 - Kubinova, Ruzena A1 - Pajak, Andrzej A1 - Malyutina, Sofia A1 - Voevoda, Mikhail I A1 - Tamosiunas, Abdonas A1 - Maitland-van der Zee, Anke H A1 - Norman, Paul E A1 - Hankey, Graeme J A1 - Bergmann, Manuela M A1 - Hofman, Albert A1 - Franco, Oscar H A1 - Cooper, Jackie A1 - Palmen, Jutta A1 - Spiering, Wilko A1 - de Jong, Pim A A1 - Kuh, Diana A1 - Hardy, Rebecca A1 - Uitterlinden, André G A1 - Ikram, M Arfan A1 - Ford, Ian A1 - Hyppönen, Elina A1 - Almeida, Osvaldo P A1 - Wareham, Nicholas J A1 - Khaw, Kay-Tee A1 - Hamsten, Anders A1 - Husemoen, Lise Lotte N A1 - Tjønneland, Anne A1 - Tolstrup, Janne S A1 - Rimm, Eric A1 - Beulens, Joline W J A1 - Verschuren, W M Monique A1 - Onland-Moret, N Charlotte A1 - Hofker, Marten H A1 - Wannamethee, S Goya A1 - Whincup, Peter H A1 - Morris, Richard A1 - Vicente, Astrid M A1 - Watkins, Hugh A1 - Farrall, Martin A1 - Jukema, J Wouter A1 - Meschia, James A1 - Cupples, L Adrienne A1 - Sharp, Stephen J A1 - Fornage, Myriam A1 - Kooperberg, Charles A1 - LaCroix, Andrea Z A1 - Dai, James Y A1 - Lanktree, Matthew B A1 - Siscovick, David S A1 - Jorgenson, Eric A1 - Spring, Bonnie A1 - Coresh, Josef A1 - Li, Yun R A1 - Buxbaum, Sarah G A1 - Schreiner, Pamela J A1 - Ellison, R Curtis A1 - Tsai, Michael Y A1 - Patel, Sanjay R A1 - Redline, Susan A1 - Johnson, Andrew D A1 - Hoogeveen, Ron C A1 - Hakonarson, Hakon A1 - Rotter, Jerome I A1 - Boerwinkle, Eric A1 - de Bakker, Paul I W A1 - Kivimaki, Mika A1 - Asselbergs, Folkert W A1 - Sattar, Naveed A1 - Lawlor, Debbie A A1 - Whittaker, John A1 - Davey Smith, George A1 - Mukamal, Kenneth A1 - Psaty, Bruce M A1 - Wilson, James G A1 - Lange, Leslie A A1 - Hamidovic, Ajna A1 - Hingorani, Aroon D A1 - Nordestgaard, Børge G A1 - Bobak, Martin A1 - Leon, David A A1 - Langenberg, Claudia A1 - Palmer, Tom M A1 - Reiner, Alex P A1 - Keating, Brendan J A1 - Dudbridge, Frank A1 - Casas, Juan P KW - Adult KW - Aged KW - Alcohol Dehydrogenase KW - Alcohol Drinking KW - Biomarkers KW - Coronary Disease KW - Female KW - Genetic Markers KW - Genotype KW - Humans KW - Male KW - Mendelian Randomization Analysis KW - Middle Aged KW - Models, Statistical KW - Polymorphism, Single Nucleotide KW - Stroke AB -

OBJECTIVE: To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease.

DESIGN: Mendelian randomisation meta-analysis of 56 epidemiological studies.

PARTICIPANTS: 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers.

MAIN OUTCOME MEASURES: Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption.

RESULTS: Carriers of the A-allele of ADH1B rs1229984 consumed 17.2% fewer units of alcohol per week (95% confidence interval 15.6% to 18.9%), had a lower prevalence of binge drinking (odds ratio 0.78 (95% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2% (-7.8 to -2.4%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m(2)). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)).

CONCLUSIONS: Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.

VL - 349 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25011450?dopt=Abstract ER - TY - JOUR T1 - Gene-centric meta-analyses for central adiposity traits in up to 57 412 individuals of European descent confirm known loci and reveal several novel associations. JF - Hum Mol Genet Y1 - 2014 A1 - Yoneyama, Sachiko A1 - Guo, Yiran A1 - Lanktree, Matthew B A1 - Barnes, Michael R A1 - Elbers, Clara C A1 - Karczewski, Konrad J A1 - Padmanabhan, Sandosh A1 - Bauer, Florianne A1 - Baumert, Jens A1 - Beitelshees, Amber A1 - Berenson, Gerald S A1 - Boer, Jolanda M A A1 - Burke, Gregory A1 - Cade, Brian A1 - Chen, Wei A1 - Cooper-Dehoff, Rhonda M A1 - Gaunt, Tom R A1 - Gieger, Christian A1 - Gong, Yan A1 - Gorski, Mathias A1 - Heard-Costa, Nancy A1 - Johnson, Toby A1 - Lamonte, Michael J A1 - McDonough, Caitrin A1 - Monda, Keri L A1 - Onland-Moret, N Charlotte A1 - Nelson, Christopher P A1 - O'Connell, Jeffrey R A1 - Ordovas, Jose A1 - Peter, Inga A1 - Peters, Annette A1 - Shaffer, Jonathan A1 - Shen, Haiqinq A1 - Smith, Erin A1 - Speilotes, Liz A1 - Thomas, Fridtjof A1 - Thorand, Barbara A1 - Monique Verschuren, W M A1 - Anand, Sonia S A1 - Dominiczak, Anna A1 - Davidson, Karina W A1 - Hegele, Robert A A1 - Heid, Iris A1 - Hofker, Marten H A1 - Huggins, Gordon S A1 - Illig, Thomas A1 - Johnson, Julie A A1 - Kirkland, Susan A1 - König, Wolfgang A1 - Langaee, Taimour Y A1 - McCaffery, Jeanne A1 - Melander, Olle A1 - Mitchell, Braxton D A1 - Munroe, Patricia A1 - Murray, Sarah S A1 - Papanicolaou, George A1 - Redline, Susan A1 - Reilly, Muredach A1 - Samani, Nilesh J A1 - Schork, Nicholas J A1 - van der Schouw, Yvonne T A1 - Shimbo, Daichi A1 - Shuldiner, Alan R A1 - Tobin, Martin D A1 - Wijmenga, Cisca A1 - Yusuf, Salim A1 - Hakonarson, Hakon A1 - Lange, Leslie A A1 - Demerath, Ellen W A1 - Fox, Caroline S A1 - North, Kari E A1 - Reiner, Alex P A1 - Keating, Brendan A1 - Taylor, Kira C KW - Adiposity KW - Adult KW - Aged KW - Aged, 80 and over KW - Body Mass Index KW - European Continental Ancestry Group KW - Female KW - Genome-Wide Association Study KW - Humans KW - Male KW - Middle Aged KW - Waist Circumference KW - Waist-Hip Ratio KW - Young Adult AB -

Waist circumference (WC) and waist-to-hip ratio (WHR) are surrogate measures of central adiposity that are associated with adverse cardiovascular events, type 2 diabetes and cancer independent of body mass index (BMI). WC and WHR are highly heritable with multiple susceptibility loci identified to date. We assessed the association between SNPs and BMI-adjusted WC and WHR and unadjusted WC in up to 57 412 individuals of European descent from 22 cohorts collaborating with the NHLBI's Candidate Gene Association Resource (CARe) project. The study population consisted of women and men aged 20-80 years. Study participants were genotyped using the ITMAT/Broad/CARE array, which includes ∼50 000 cosmopolitan tagged SNPs across ∼2100 cardiovascular-related genes. Each trait was modeled as a function of age, study site and principal components to control for population stratification, and we conducted a fixed-effects meta-analysis. No new loci for WC were observed. For WHR analyses, three novel loci were significantly associated (P < 2.4 × 10(-6)). Previously unreported rs2811337-G near TMCC1 was associated with increased WHR (β ± SE, 0.048 ± 0.008, P = 7.7 × 10(-9)) as was rs7302703-G in HOXC10 (β = 0.044 ± 0.008, P = 2.9 × 10(-7)) and rs936108-C in PEMT (β = 0.035 ± 0.007, P = 1.9 × 10(-6)). Sex-stratified analyses revealed two additional novel signals among females only, rs12076073-A in SHC1 (β = 0.10 ± 0.02, P = 1.9 × 10(-6)) and rs1037575-A in ATBDB4 (β = 0.046 ± 0.01, P = 2.2 × 10(-6)), supporting an already established sexual dimorphism of central adiposity-related genetic variants. Functional analysis using ENCODE and eQTL databases revealed that several of these loci are in regulatory regions or regions with differential expression in adipose tissue.

VL - 23 IS - 9 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24345515?dopt=Abstract ER - TY - JOUR T1 - Large multiethnic Candidate Gene Study for C-reactive protein levels: identification of a novel association at CD36 in African Americans. JF - Hum Genet Y1 - 2014 A1 - Ellis, Jaclyn A1 - Lange, Ethan M A1 - Li, Jin A1 - Dupuis, Josée A1 - Baumert, Jens A1 - Walston, Jeremy D A1 - Keating, Brendan J A1 - Durda, Peter A1 - Fox, Ervin R A1 - Palmer, Cameron D A1 - Meng, Yan A A1 - Young, Taylor A1 - Farlow, Deborah N A1 - Schnabel, Renate B A1 - Marzi, Carola S A1 - Larkin, Emma A1 - Martin, Lisa W A1 - Bis, Joshua C A1 - Auer, Paul A1 - Ramachandran, Vasan S A1 - Gabriel, Stacey B A1 - Willis, Monte S A1 - Pankow, James S A1 - Papanicolaou, George J A1 - Rotter, Jerome I A1 - Ballantyne, Christie M A1 - Gross, Myron D A1 - Lettre, Guillaume A1 - Wilson, James G A1 - Peters, Ulrike A1 - Koenig, Wolfgang A1 - Tracy, Russell P A1 - Redline, Susan A1 - Reiner, Alex P A1 - Benjamin, Emelia J A1 - Lange, Leslie A KW - Adult KW - African Americans KW - Aged KW - Biomarkers KW - C-Reactive Protein KW - Cardiovascular Diseases KW - CD36 Antigens KW - Female KW - Genetic Loci KW - Genetic Predisposition to Disease KW - Genetics, Population KW - Genome-Wide Association Study KW - Humans KW - Meta-Analysis as Topic KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Risk Factors AB -

C-reactive protein (CRP) is a heritable biomarker of systemic inflammation and a predictor of cardiovascular disease (CVD). Large-scale genetic association studies for CRP have largely focused on individuals of European descent. We sought to uncover novel genetic variants for CRP in a multiethnic sample using the ITMAT Broad-CARe (IBC) array, a custom 50,000 SNP gene-centric array having dense coverage of over 2,000 candidate CVD genes. We performed analyses on 7,570 African Americans (AA) from the Candidate gene Association Resource (CARe) study and race-combined meta-analyses that included 29,939 additional individuals of European descent from CARe, the Women's Health Initiative (WHI) and KORA studies. We observed array-wide significance (p < 2.2 × 10(-6)) for four loci in AA, three of which have been reported previously in individuals of European descent (IL6R, p = 2.0 × 10(-6); CRP, p = 4.2 × 10(-71); APOE, p = 1.6 × 10(-6)). The fourth significant locus, CD36 (p = 1.6 × 10(-6)), was observed at a functional variant (rs3211938) that is extremely rare in individuals of European descent. We replicated the CD36 finding (p = 1.8 × 10(-5)) in an independent sample of 8,041 AA women from WHI; a meta-analysis combining the CARe and WHI AA results at rs3211938 reached genome-wide significance (p = 1.5 × 10(-10)). In the race-combined meta-analyses, 13 loci reached significance, including ten (CRP, TOMM40/APOE/APOC1, HNF1A, LEPR, GCKR, IL6R, IL1RN, NLRP3, HNF4A and BAZ1B/BCL7B) previously associated with CRP, and one (ARNTL) previously reported to be nominally associated with CRP. Two novel loci were also detected (RPS6KB1, p = 2.0 × 10(-6); CD36, p = 1.4 × 10(-6)). These results highlight both shared and unique genetic risk factors for CRP in AA compared to populations of European descent.

VL - 133 IS - 8 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24643644?dopt=Abstract ER - TY - JOUR T1 - Loss-of-function mutations in APOC3, triglycerides, and coronary disease. JF - N Engl J Med Y1 - 2014 A1 - Crosby, Jacy A1 - Peloso, Gina M A1 - Auer, Paul L A1 - Crosslin, David R A1 - Stitziel, Nathan O A1 - Lange, Leslie A A1 - Lu, Yingchang A1 - Tang, Zheng-Zheng A1 - Zhang, He A1 - Hindy, George A1 - Masca, Nicholas A1 - Stirrups, Kathleen A1 - Kanoni, Stavroula A1 - Do, Ron A1 - Jun, Goo A1 - Hu, Youna A1 - Kang, Hyun Min A1 - Xue, Chenyi A1 - Goel, Anuj A1 - Farrall, Martin A1 - Duga, Stefano A1 - Merlini, Pier Angelica A1 - Asselta, Rosanna A1 - Girelli, Domenico A1 - Olivieri, Oliviero A1 - Martinelli, Nicola A1 - Yin, Wu A1 - Reilly, Dermot A1 - Speliotes, Elizabeth A1 - Fox, Caroline S A1 - Hveem, Kristian A1 - Holmen, Oddgeir L A1 - Nikpay, Majid A1 - Farlow, Deborah N A1 - Assimes, Themistocles L A1 - Franceschini, Nora A1 - Robinson, Jennifer A1 - North, Kari E A1 - Martin, Lisa W A1 - DePristo, Mark A1 - Gupta, Namrata A1 - Escher, Stefan A A1 - Jansson, Jan-Håkan A1 - Van Zuydam, Natalie A1 - Palmer, Colin N A A1 - Wareham, Nicholas A1 - Koch, Werner A1 - Meitinger, Thomas A1 - Peters, Annette A1 - Lieb, Wolfgang A1 - Erbel, Raimund A1 - König, Inke R A1 - Kruppa, Jochen A1 - Degenhardt, Franziska A1 - Gottesman, Omri A1 - Bottinger, Erwin P A1 - O'Donnell, Christopher J A1 - Psaty, Bruce M A1 - Ballantyne, Christie M A1 - Abecasis, Goncalo A1 - Ordovas, Jose M A1 - Melander, Olle A1 - Watkins, Hugh A1 - Orho-Melander, Marju A1 - Ardissino, Diego A1 - Loos, Ruth J F A1 - McPherson, Ruth A1 - Willer, Cristen J A1 - Erdmann, Jeanette A1 - Hall, Alistair S A1 - Samani, Nilesh J A1 - Deloukas, Panos A1 - Schunkert, Heribert A1 - Wilson, James G A1 - Kooperberg, Charles A1 - Rich, Stephen S A1 - Tracy, Russell P A1 - Lin, Dan-Yu A1 - Altshuler, David A1 - Gabriel, Stacey A1 - Nickerson, Deborah A A1 - Jarvik, Gail P A1 - Cupples, L Adrienne A1 - Reiner, Alex P A1 - Boerwinkle, Eric A1 - Kathiresan, Sekar KW - African Continental Ancestry Group KW - Apolipoprotein C-III KW - Coronary Disease KW - European Continental Ancestry Group KW - Exome KW - Genotype KW - Heterozygote KW - Humans KW - Liver KW - Mutation KW - Risk Factors KW - Sequence Analysis, DNA KW - Triglycerides AB -

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

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

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

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

VL - 371 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24941081?dopt=Abstract ER - TY - JOUR T1 - Association of exome sequences with plasma C-reactive protein levels in >9000 participants. JF - Hum Mol Genet Y1 - 2015 A1 - Schick, Ursula M A1 - Auer, Paul L A1 - Bis, Joshua C A1 - Lin, Honghuang A1 - Wei, Peng A1 - Pankratz, Nathan A1 - Lange, Leslie A A1 - Brody, Jennifer A1 - Stitziel, Nathan O A1 - Kim, Daniel S A1 - Carlson, Christopher S A1 - Fornage, Myriam A1 - Haessler, Jeffery A1 - Hsu, Li A1 - Jackson, Rebecca D A1 - Kooperberg, Charles A1 - Leal, Suzanne M A1 - Psaty, Bruce M A1 - Boerwinkle, Eric A1 - Tracy, Russell A1 - Ardissino, Diego A1 - Shah, Svati A1 - Willer, Cristen A1 - Loos, Ruth A1 - Melander, Olle A1 - McPherson, Ruth A1 - Hovingh, Kees A1 - Reilly, Muredach A1 - Watkins, Hugh A1 - Girelli, Domenico A1 - Fontanillas, Pierre A1 - Chasman, Daniel I A1 - Gabriel, Stacey B A1 - Gibbs, Richard A1 - Nickerson, Deborah A A1 - Kathiresan, Sekar A1 - Peters, Ulrike A1 - Dupuis, Josée A1 - Wilson, James G A1 - Rich, Stephen S A1 - Morrison, Alanna C A1 - Benjamin, Emelia J A1 - Gross, Myron D A1 - Reiner, Alex P KW - Adult KW - African Americans KW - C-Reactive Protein KW - Cardiovascular Diseases KW - Cohort Studies KW - European Continental Ancestry Group KW - Exome KW - Female KW - Gene Frequency KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Hepatocyte Nuclear Factor 1-alpha KW - Humans KW - Male KW - Plasma KW - Polymorphism, Single Nucleotide KW - Receptors, Interleukin-6 KW - Risk Factors AB -

C-reactive protein (CRP) concentration is a heritable systemic marker of inflammation that is associated with cardiovascular disease risk. Genome-wide association studies have identified CRP-associated common variants associated in ∼25 genes. Our aims were to apply exome sequencing to (1) assess whether the candidate loci contain rare coding variants associated with CRP levels and (2) perform an exome-wide search for rare variants in novel genes associated with CRP levels. We exome-sequenced 6050 European-Americans (EAs) and 3109 African-Americans (AAs) from the NHLBI-ESP and the CHARGE consortia, and performed association tests of sequence data with measured CRP levels. In single-variant tests across candidate loci, a novel rare (minor allele frequency = 0.16%) CRP-coding variant (rs77832441-A; p.Thr59Met) was associated with 53% lower mean CRP levels (P = 2.9 × 10(-6)). We replicated the association of rs77832441 in an exome array analysis of 11 414 EAs (P = 3.0 × 10(-15)). Despite a strong effect on CRP levels, rs77832441 was not associated with inflammation-related phenotypes including coronary heart disease. We also found evidence for an AA-specific association of APOE-ε2 rs7214 with higher CRP levels. At the exome-wide significance level (P < 5.0 × 10(-8)), we confirmed associations for reported common variants of HNF1A, CRP, IL6R and TOMM40-APOE. In gene-based tests, a burden of rare/lower frequency variation in CRP in EAs (P ≤ 6.8 × 10(-4)) and in retinoic acid receptor-related orphan receptor α (RORA) in AAs (P = 1.7 × 10(-3)) were associated with CRP levels at the candidate gene level (P < 2.0 × 10(-3)). This inquiry did not elucidate novel genes, but instead demonstrated that variants distributed across the allele frequency spectrum within candidate genes contribute to CRP levels.

VL - 24 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25187575?dopt=Abstract ER - TY - JOUR T1 - DCAF4, a novel gene associated with leucocyte telomere length. JF - J Med Genet Y1 - 2015 A1 - Mangino, Massimo A1 - Christiansen, Lene A1 - Stone, Rivka A1 - Hunt, Steven C A1 - Horvath, Kent A1 - Eisenberg, Dan T A A1 - Kimura, Masayuki A1 - Petersen, Inge A1 - Kark, Jeremy D A1 - Herbig, Utz A1 - Reiner, Alex P A1 - Benetos, Athanase A1 - Codd, Veryan A1 - Nyholt, Dale R A1 - Sinnreich, Ronit A1 - Christensen, Kaare A1 - Nassar, Hisham A1 - Hwang, Shih-Jen A1 - Levy, Daniel A1 - Bataille, Veronique A1 - Fitzpatrick, Annette L A1 - Chen, Wei A1 - Berenson, Gerald S A1 - Samani, Nilesh J A1 - Martin, Nicholas G A1 - Tishkoff, Sarah A1 - Schork, Nicholas J A1 - Kyvik, Kirsten Ohm A1 - Dalgård, Christine A1 - Spector, Timothy D A1 - Aviv, Abraham KW - Alleles KW - Carrier Proteins KW - Gene Expression Regulation KW - Genome-Wide Association Study KW - Humans KW - Leukocytes KW - Melanoma KW - Risk Factors KW - Telomere KW - Telomere Homeostasis AB -

BACKGROUND: Leucocyte telomere length (LTL), which is fashioned by multiple genes, has been linked to a host of human diseases, including sporadic melanoma. A number of genes associated with LTL have already been identified through genome-wide association studies. The main aim of this study was to establish whether DCAF4 (DDB1 and CUL4-associated factor 4) is associated with LTL. In addition, using ingenuity pathway analysis (IPA), we examined whether LTL-associated genes in the general population might partially explain the inherently longer LTL in patients with sporadic melanoma, the risk for which is increased with ultraviolet radiation (UVR).

RESULTS: Genome-wide association (GWA) meta-analysis and de novo genotyping of 20 022 individuals revealed a novel association (p=6.4×10(-10)) between LTL and rs2535913, which lies within DCAF4. Notably, eQTL analysis showed that rs2535913 is associated with decline in DCAF4 expressions in both lymphoblastoid cells and sun-exposed skin (p=4.1×10(-3) and 2×10(-3), respectively). Moreover, IPA revealed that LTL-associated genes, derived from GWA meta-analysis (N=9190), are over-represented among genes engaged in melanoma pathways. Meeting increasingly stringent p value thresholds (p<0.05, <0.01, <0.005, <0.001) in the LTL-GWA meta-analysis, these genes were jointly over-represented for melanoma at p values ranging from 1.97×10(-169) to 3.42×10(-24).

CONCLUSIONS: We uncovered a new locus associated with LTL in the general population. We also provided preliminary findings that suggest a link of LTL through genetic mechanisms with UVR and melanoma in the general population.

VL - 52 IS - 3 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25624462?dopt=Abstract ER - TY - JOUR T1 - Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction. JF - Nature Y1 - 2015 A1 - Do, Ron A1 - Stitziel, Nathan O A1 - Won, Hong-Hee A1 - Jørgensen, Anders Berg A1 - Duga, Stefano A1 - Angelica Merlini, Pier A1 - Kiezun, Adam A1 - Farrall, Martin A1 - Goel, Anuj A1 - Zuk, Or A1 - Guella, Illaria A1 - Asselta, Rosanna A1 - Lange, Leslie A A1 - Peloso, Gina M A1 - Auer, Paul L A1 - Girelli, Domenico A1 - Martinelli, Nicola A1 - Farlow, Deborah N A1 - DePristo, Mark A A1 - Roberts, Robert A1 - Stewart, Alexander F R A1 - Saleheen, Danish A1 - Danesh, John A1 - Epstein, Stephen E A1 - Sivapalaratnam, Suthesh A1 - Hovingh, G Kees A1 - Kastelein, John J A1 - Samani, Nilesh J A1 - Schunkert, Heribert A1 - Erdmann, Jeanette A1 - Shah, Svati H A1 - Kraus, William E A1 - Davies, Robert A1 - Nikpay, Majid A1 - Johansen, Christopher T A1 - Wang, Jian A1 - Hegele, Robert A A1 - Hechter, Eliana A1 - März, Winfried A1 - Kleber, Marcus E A1 - Huang, Jie A1 - Johnson, Andrew D A1 - Li, Mingyao A1 - Burke, Greg L A1 - Gross, Myron A1 - Liu, Yongmei A1 - Assimes, Themistocles L A1 - Heiss, Gerardo A1 - Lange, Ethan M A1 - Folsom, Aaron R A1 - Taylor, Herman A A1 - Olivieri, Oliviero A1 - Hamsten, Anders A1 - Clarke, Robert A1 - Reilly, Dermot F A1 - Yin, Wu A1 - Rivas, Manuel A A1 - Donnelly, Peter A1 - Rossouw, Jacques E A1 - Psaty, Bruce M A1 - Herrington, David M A1 - Wilson, James G A1 - Rich, Stephen S A1 - Bamshad, Michael J A1 - Tracy, Russell P A1 - Cupples, L Adrienne A1 - Rader, Daniel J A1 - Reilly, Muredach P A1 - Spertus, John A A1 - Cresci, Sharon A1 - Hartiala, Jaana A1 - Tang, W H Wilson A1 - Hazen, Stanley L A1 - Allayee, Hooman A1 - Reiner, Alex P A1 - Carlson, Christopher S A1 - Kooperberg, Charles A1 - Jackson, Rebecca D A1 - Boerwinkle, Eric A1 - Lander, Eric S A1 - Schwartz, Stephen M A1 - Siscovick, David S A1 - McPherson, Ruth A1 - Tybjaerg-Hansen, Anne A1 - Abecasis, Goncalo R A1 - Watkins, Hugh A1 - Nickerson, Deborah A A1 - Ardissino, Diego A1 - Sunyaev, Shamil R A1 - O'Donnell, Christopher J A1 - Altshuler, David A1 - Gabriel, Stacey A1 - Kathiresan, Sekar KW - Age Factors KW - Age of Onset KW - Alleles KW - Apolipoproteins A KW - Case-Control Studies KW - Cholesterol, LDL KW - Coronary Artery Disease KW - Exome KW - Female KW - Genetic Predisposition to Disease KW - Genetics, Population KW - Heterozygote KW - Humans KW - Male KW - Middle Aged KW - Mutation KW - Myocardial Infarction KW - National Heart, Lung, and Blood Institute (U.S.) KW - Receptors, LDL KW - Triglycerides KW - United States AB -

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

VL - 518 IS - 7537 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25487149?dopt=Abstract ER - TY - JOUR T1 - HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials. JF - Lancet Y1 - 2015 A1 - Swerdlow, Daniel I A1 - Preiss, David A1 - Kuchenbaecker, Karoline B A1 - Holmes, Michael V A1 - Engmann, Jorgen E L A1 - Shah, Tina A1 - Sofat, Reecha A1 - Stender, Stefan A1 - Johnson, Paul C D A1 - Scott, Robert A A1 - Leusink, Maarten A1 - Verweij, Niek A1 - Sharp, Stephen J A1 - Guo, Yiran A1 - Giambartolomei, Claudia A1 - Chung, Christina A1 - Peasey, Anne A1 - Amuzu, Antoinette A1 - Li, KaWah A1 - Palmen, Jutta A1 - Howard, Philip A1 - Cooper, Jackie A A1 - Drenos, Fotios A1 - Li, Yun R A1 - Lowe, Gordon A1 - Gallacher, John A1 - Stewart, Marlene C W A1 - Tzoulaki, Ioanna A1 - Buxbaum, Sarah G A1 - van der A, Daphne L A1 - Forouhi, Nita G A1 - Onland-Moret, N Charlotte A1 - van der Schouw, Yvonne T A1 - Schnabel, Renate B A1 - Hubacek, Jaroslav A A1 - Kubinova, Ruzena A1 - Baceviciene, Migle A1 - Tamosiunas, Abdonas A1 - Pajak, Andrzej A1 - Topor-Madry, Roman A1 - Stepaniak, Urszula A1 - Malyutina, Sofia A1 - Baldassarre, Damiano A1 - Sennblad, Bengt A1 - Tremoli, Elena A1 - de Faire, Ulf A1 - Veglia, Fabrizio A1 - Ford, Ian A1 - Jukema, J Wouter A1 - Westendorp, Rudi G J A1 - de Borst, Gert Jan A1 - de Jong, Pim A A1 - Algra, Ale A1 - Spiering, Wilko A1 - Maitland-van der Zee, Anke H A1 - Klungel, Olaf H A1 - de Boer, Anthonius A1 - Doevendans, Pieter A A1 - Eaton, Charles B A1 - Robinson, Jennifer G A1 - Duggan, David A1 - Kjekshus, John A1 - Downs, John R A1 - Gotto, Antonio M A1 - Keech, Anthony C A1 - Marchioli, Roberto A1 - Tognoni, Gianni A1 - Sever, Peter S A1 - Poulter, Neil R A1 - Waters, David D A1 - Pedersen, Terje R A1 - Amarenco, Pierre A1 - Nakamura, Haruo A1 - McMurray, John J V A1 - Lewsey, James D A1 - Chasman, Daniel I A1 - Ridker, Paul M A1 - Maggioni, Aldo P A1 - Tavazzi, Luigi A1 - Ray, Kausik K A1 - Seshasai, Sreenivasa Rao Kondapally A1 - Manson, JoAnn E A1 - Price, Jackie F A1 - Whincup, Peter H A1 - Morris, Richard W A1 - Lawlor, Debbie A A1 - Smith, George Davey A1 - Ben-Shlomo, Yoav A1 - Schreiner, Pamela J A1 - Fornage, Myriam A1 - Siscovick, David S A1 - Cushman, Mary A1 - Kumari, Meena A1 - Wareham, Nick J A1 - Verschuren, W M Monique A1 - Redline, Susan A1 - Patel, Sanjay R A1 - Whittaker, John C A1 - Hamsten, Anders A1 - Delaney, Joseph A A1 - Dale, Caroline A1 - Gaunt, Tom R A1 - Wong, Andrew A1 - Kuh, Diana A1 - Hardy, Rebecca A1 - Kathiresan, Sekar A1 - Castillo, Berta A A1 - van der Harst, Pim A1 - Brunner, Eric J A1 - Tybjaerg-Hansen, Anne A1 - Marmot, Michael G A1 - Krauss, Ronald M A1 - Tsai, Michael A1 - Coresh, Josef A1 - Hoogeveen, Ronald C A1 - Psaty, Bruce M A1 - Lange, Leslie A A1 - Hakonarson, Hakon A1 - Dudbridge, Frank A1 - Humphries, Steve E A1 - Talmud, Philippa J A1 - Kivimaki, Mika A1 - Timpson, Nicholas J A1 - Langenberg, Claudia A1 - Asselbergs, Folkert W A1 - Voevoda, Mikhail A1 - Bobak, Martin A1 - Pikhart, Hynek A1 - Wilson, James G A1 - Reiner, Alex P A1 - Keating, Brendan J A1 - Hingorani, Aroon D A1 - Sattar, Naveed KW - Aged KW - Body Mass Index KW - Body Weight KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Diabetes Mellitus, Type 2 KW - Female KW - Genetic Testing KW - Humans KW - Hydroxymethylglutaryl CoA Reductases KW - Hydroxymethylglutaryl-CoA Reductase Inhibitors KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Randomized Controlled Trials as Topic KW - Risk Factors AB -

BACKGROUND: Statins increase the risk of new-onset type 2 diabetes mellitus. We aimed to assess whether this increase in risk is a consequence of inhibition of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), the intended drug target.

METHODS: We used single nucleotide polymorphisms in the HMGCR gene, rs17238484 (for the main analysis) and rs12916 (for a subsidiary analysis) as proxies for HMGCR inhibition by statins. We examined associations of these variants with plasma lipid, glucose, and insulin concentrations; bodyweight; waist circumference; and prevalent and incident type 2 diabetes. Study-specific effect estimates per copy of each LDL-lowering allele were pooled by meta-analysis. These findings were compared with a meta-analysis of new-onset type 2 diabetes and bodyweight change data from randomised trials of statin drugs. The effects of statins in each randomised trial were assessed using meta-analysis.

FINDINGS: Data were available for up to 223 463 individuals from 43 genetic studies. Each additional rs17238484-G allele was associated with a mean 0·06 mmol/L (95% CI 0·05-0·07) lower LDL cholesterol and higher body weight (0·30 kg, 0·18-0·43), waist circumference (0·32 cm, 0·16-0·47), plasma insulin concentration (1·62%, 0·53-2·72), and plasma glucose concentration (0·23%, 0·02-0·44). The rs12916 SNP had similar effects on LDL cholesterol, bodyweight, and waist circumference. The rs17238484-G allele seemed to be associated with higher risk of type 2 diabetes (odds ratio [OR] per allele 1·02, 95% CI 1·00-1·05); the rs12916-T allele association was consistent (1·06, 1·03-1·09). In 129 170 individuals in randomised trials, statins lowered LDL cholesterol by 0·92 mmol/L (95% CI 0·18-1·67) at 1-year of follow-up, increased bodyweight by 0·24 kg (95% CI 0·10-0·38 in all trials; 0·33 kg, 95% CI 0·24-0·42 in placebo or standard care controlled trials and -0·15 kg, 95% CI -0·39 to 0·08 in intensive-dose vs moderate-dose trials) at a mean of 4·2 years (range 1·9-6·7) of follow-up, and increased the odds of new-onset type 2 diabetes (OR 1·12, 95% CI 1·06-1·18 in all trials; 1·11, 95% CI 1·03-1·20 in placebo or standard care controlled trials and 1·12, 95% CI 1·04-1·22 in intensive-dose vs moderate dose trials).

INTERPRETATION: The increased risk of type 2 diabetes noted with statins is at least partially explained by HMGCR inhibition.

FUNDING: The funding sources are cited at the end of the paper.

VL - 385 IS - 9965 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25262344?dopt=Abstract ER - TY - JOUR T1 - Mendelian randomization of blood lipids for coronary heart disease. JF - Eur Heart J Y1 - 2015 A1 - Holmes, Michael V A1 - Asselbergs, Folkert W A1 - Palmer, Tom M A1 - Drenos, Fotios A1 - Lanktree, Matthew B A1 - Nelson, Christopher P A1 - Dale, Caroline E A1 - Padmanabhan, Sandosh A1 - Finan, Chris A1 - Swerdlow, Daniel I A1 - Tragante, Vinicius A1 - van Iperen, Erik P A A1 - Sivapalaratnam, Suthesh A1 - Shah, Sonia A1 - Elbers, Clara C A1 - Shah, Tina A1 - Engmann, Jorgen A1 - Giambartolomei, Claudia A1 - White, Jon A1 - Zabaneh, Delilah A1 - Sofat, Reecha A1 - McLachlan, Stela A1 - Doevendans, Pieter A A1 - Balmforth, Anthony J A1 - Hall, Alistair S A1 - North, Kari E A1 - Almoguera, Berta A1 - Hoogeveen, Ron C A1 - Cushman, Mary A1 - Fornage, Myriam A1 - Patel, Sanjay R A1 - Redline, Susan A1 - Siscovick, David S A1 - Tsai, Michael Y A1 - Karczewski, Konrad J A1 - Hofker, Marten H A1 - Verschuren, W Monique A1 - Bots, Michiel L A1 - van der Schouw, Yvonne T A1 - Melander, Olle A1 - Dominiczak, Anna F A1 - Morris, Richard A1 - Ben-Shlomo, Yoav A1 - Price, Jackie A1 - Kumari, Meena A1 - Baumert, Jens A1 - Peters, Annette A1 - Thorand, Barbara A1 - Koenig, Wolfgang A1 - Gaunt, Tom R A1 - Humphries, Steve E A1 - Clarke, Robert A1 - Watkins, Hugh A1 - Farrall, Martin A1 - Wilson, James G A1 - Rich, Stephen S A1 - de Bakker, Paul I W A1 - Lange, Leslie A A1 - Davey Smith, George A1 - Reiner, Alex P A1 - Talmud, Philippa J A1 - Kivimaki, Mika A1 - Lawlor, Debbie A A1 - Dudbridge, Frank A1 - Samani, Nilesh J A1 - Keating, Brendan J A1 - Hingorani, Aroon D A1 - Casas, Juan P KW - Case-Control Studies KW - Cholesterol, HDL KW - Coronary Artery Disease KW - Female KW - Gene Frequency KW - Genotype KW - Genotyping Techniques KW - Humans KW - Male KW - Mendelian Randomization Analysis KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Risk Assessment KW - Triglycerides AB -

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

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

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

VL - 36 IS - 9 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24474739?dopt=Abstract ER - TY - JOUR T1 - Plasma Levels of Soluble Interleukin-2 Receptor α: Associations With Clinical Cardiovascular Events and Genome-Wide Association Scan. JF - Arterioscler Thromb Vasc Biol Y1 - 2015 A1 - Durda, Peter A1 - Sabourin, Jeremy A1 - Lange, Ethan M A1 - Nalls, Mike A A1 - Mychaleckyj, Josyf C A1 - Jenny, Nancy Swords A1 - Li, Jin A1 - Walston, Jeremy A1 - Harris, Tamara B A1 - Psaty, Bruce M A1 - Valdar, William A1 - Liu, Yongmei A1 - Cushman, Mary A1 - Reiner, Alex P A1 - Tracy, Russell P A1 - Lange, Leslie A KW - Adult KW - African Americans KW - Age Distribution KW - Aged KW - Cardiovascular Diseases KW - Cohort Studies KW - Coronary Artery Disease KW - Female KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Incidence KW - Interleukin-2 Receptor alpha Subunit KW - Kaplan-Meier Estimate KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Proportional Hazards Models KW - Prospective Studies KW - Risk Assessment KW - Sex Distribution KW - Survival Analysis AB -

OBJECTIVE: Interleukin (IL) -2 receptor subunit α regulates lymphocyte activation, which plays an important role in atherosclerosis. Associations between soluble IL-2Rα (sIL-2Rα) and cardiovascular disease (CVD) have not been widely studied and little is known about the genetic determinants of sIL-2Rα levels.

APPROACH AND RESULTS: We measured baseline levels of sIL-2Rα in 4408 European American (EA) and 766 African American (AA) adults from the Cardiovascular Health Study (CHS) and examined associations with baseline CVD risk factors, subclinical CVD, and incident CVD events. We also performed a genome-wide association study for sIL-2Rα in CHS (2964 EAs and 683 AAs) and further combined CHS EA results with those from two other EA cohorts in a meta-analysis (n=4464 EAs). In age, sex- and race- adjusted models, sIL-2Rα was positively associated with current smoking, type 2 diabetes mellitus, hypertension, insulin, waist circumference, C-reactive protein, IL-6, fibrinogen, internal carotid wall thickness, all-cause mortality, CVD mortality, and incident CVD, stroke, and heart failure. When adjusted for baseline CVD risk factors and subclinical CVD, associations with all-cause mortality, CVD mortality, and heart failure remained significant in both EAs and AAs. In the EA genome-wide association study analysis, we observed 52 single-nucleotide polymorphisms in the chromosome 10p15-14 region, which contains IL2RA, IL15RA, and RMB17, that reached genome-wide significance (P<5×10(-8)). The most significant single-nucleotide polymorphism was rs7911500 (P=1.31×10(-75)). The EA meta-analysis results were highly consistent with CHS-only results. No single-nucleotide polymorphisms reached statistical significance in the AAs.

CONCLUSIONS: These results support a role for sIL-2Rα in atherosclerosis and provide evidence for multiple-associated single-nucleotide polymorphisms at chromosome 10p15-14.

VL - 35 IS - 10 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26293465?dopt=Abstract ER - TY - JOUR T1 - Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF. JF - Blood Y1 - 2015 A1 - Huffman, Jennifer E A1 - de Vries, Paul S A1 - Morrison, Alanna C A1 - Sabater-Lleal, Maria A1 - Kacprowski, Tim A1 - Auer, Paul L A1 - Brody, Jennifer A A1 - Chasman, Daniel I A1 - Chen, Ming-Huei A1 - Guo, Xiuqing A1 - Lin, Li-An A1 - Marioni, Riccardo E A1 - Müller-Nurasyid, Martina A1 - Yanek, Lisa R A1 - Pankratz, Nathan A1 - Grove, Megan L A1 - de Maat, Moniek P M A1 - Cushman, Mary A1 - Wiggins, Kerri L A1 - Qi, Lihong A1 - Sennblad, Bengt A1 - Harris, Sarah E A1 - Polasek, Ozren A1 - Riess, Helene A1 - Rivadeneira, Fernando A1 - Rose, Lynda M A1 - Goel, Anuj A1 - Taylor, Kent D A1 - Teumer, Alexander A1 - Uitterlinden, André G A1 - Vaidya, Dhananjay A1 - Yao, Jie A1 - Tang, Weihong A1 - Levy, Daniel A1 - Waldenberger, Melanie A1 - Becker, Diane M A1 - Folsom, Aaron R A1 - Giulianini, Franco A1 - Greinacher, Andreas A1 - Hofman, Albert A1 - Huang, Chiang-Ching A1 - Kooperberg, Charles A1 - Silveira, Angela A1 - Starr, John M A1 - Strauch, Konstantin A1 - Strawbridge, Rona J A1 - Wright, Alan F A1 - McKnight, Barbara A1 - Franco, Oscar H A1 - Zakai, Neil A1 - Mathias, Rasika A A1 - Psaty, Bruce M A1 - Ridker, Paul M A1 - Tofler, Geoffrey H A1 - Völker, Uwe A1 - Watkins, Hugh A1 - Fornage, Myriam A1 - Hamsten, Anders A1 - Deary, Ian J A1 - Boerwinkle, Eric A1 - Koenig, Wolfgang A1 - Rotter, Jerome I A1 - Hayward, Caroline A1 - Dehghan, Abbas A1 - Reiner, Alex P A1 - O'Donnell, Christopher J A1 - Smith, Nicholas L KW - Cohort Studies KW - Factor VII KW - Factor VIII KW - Fibrinogen KW - Gene Frequency KW - Genetic Association Studies KW - Genetic Variation KW - Humans KW - Nerve Tissue Proteins KW - Polymorphism, Single Nucleotide KW - Potassium Channels KW - von Willebrand Factor AB -

Fibrinogen, coagulation factor VII (FVII), and factor VIII (FVIII) and its carrier von Willebrand factor (vWF) play key roles in hemostasis. Previously identified common variants explain only a small fraction of the trait heritabilities, and additional variations may be explained by associations with rarer variants with larger effects. The aim of this study was to identify low-frequency (minor allele frequency [MAF] ≥0.01 and <0.05) and rare (MAF <0.01) variants that influence plasma concentrations of these 4 hemostatic factors by meta-analyzing exome chip data from up to 76,000 participants of 4 ancestries. We identified 12 novel associations of low-frequency (n = 2) and rare (n = 10) variants across the fibrinogen, FVII, FVIII, and vWF traits that were independent of previously identified associations. Novel loci were found within previously reported genes and had effect sizes much larger than and independent of previously identified common variants. In addition, associations at KCNT1, HID1, and KATNB1 identified new candidate genes related to hemostasis for follow-up replication and functional genomic analysis. Newly identified low-frequency and rare-variant associations accounted for modest amounts of trait variance and therefore are unlikely to increase predicted trait heritability but provide new information for understanding individual variation in hemostasis pathways.

VL - 126 IS - 11 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26105150?dopt=Abstract ER - TY - JOUR T1 - Shared genetic basis for migraine and ischemic stroke: A genome-wide analysis of common variants. JF - Neurology Y1 - 2015 A1 - Malik, Rainer A1 - Freilinger, Tobias A1 - Winsvold, Bendik S A1 - Anttila, Verneri A1 - Vander Heiden, Jason A1 - Traylor, Matthew A1 - de Vries, Boukje A1 - Holliday, Elizabeth G A1 - Terwindt, Gisela M A1 - Sturm, Jonathan A1 - Bis, Joshua C A1 - Hopewell, Jemma C A1 - Ferrari, Michel D A1 - Rannikmae, Kristiina A1 - Wessman, Maija A1 - Kallela, Mikko A1 - Kubisch, Christian A1 - Fornage, Myriam A1 - Meschia, James F A1 - Lehtimäki, Terho A1 - Sudlow, Cathie A1 - Clarke, Robert A1 - Chasman, Daniel I A1 - Mitchell, Braxton D A1 - Maguire, Jane A1 - Kaprio, Jaakko A1 - Farrall, Martin A1 - Raitakari, Olli T A1 - Kurth, Tobias A1 - Ikram, M Arfan A1 - Reiner, Alex P A1 - Longstreth, W T A1 - Rothwell, Peter M A1 - Strachan, David P A1 - Sharma, Pankaj A1 - Seshadri, Sudha A1 - Quaye, Lydia A1 - Cherkas, Lynn A1 - Schürks, Markus A1 - Rosand, Jonathan A1 - Ligthart, Lannie A1 - Boncoraglio, Giorgio B A1 - Davey Smith, George A1 - van Duijn, Cornelia M A1 - Stefansson, Kari A1 - Worrall, Bradford B A1 - Nyholt, Dale R A1 - Markus, Hugh S A1 - van den Maagdenberg, Arn M J M A1 - Cotsapas, Chris A1 - Zwart, John A A1 - Palotie, Aarno A1 - Dichgans, Martin KW - Brain Ischemia KW - Genome-Wide Association Study KW - Humans KW - Migraine with Aura KW - Migraine without Aura KW - Stroke AB -

OBJECTIVE: To quantify genetic overlap between migraine and ischemic stroke (IS) with respect to common genetic variation.

METHODS: We applied 4 different approaches to large-scale meta-analyses of genome-wide data on migraine (23,285 cases and 95,425 controls) and IS (12,389 cases and 62,004 controls). First, we queried known genome-wide significant loci for both disorders, looking for potential overlap of signals. We then analyzed the overall shared genetic load using polygenic scores and estimated the genetic correlation between disease subtypes using data derived from these models. We further interrogated genomic regions of shared risk using analysis of covariance patterns between the 2 phenotypes using cross-phenotype spatial mapping.

RESULTS: We found substantial genetic overlap between migraine and IS using all 4 approaches. Migraine without aura (MO) showed much stronger overlap with IS and its subtypes than migraine with aura (MA). The strongest overlap existed between MO and large artery stroke (LAS; p = 6.4 × 10(-28) for the LAS polygenic score in MO) and between MO and cardioembolic stroke (CE; p = 2.7 × 10(-20) for the CE score in MO).

CONCLUSIONS: Our findings indicate shared genetic susceptibility to migraine and IS, with a particularly strong overlap between MO and both LAS and CE pointing towards shared mechanisms. Our observations on MA are consistent with a limited role of common genetic variants in this subtype.

VL - 84 IS - 21 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25934857?dopt=Abstract ER - TY - JOUR T1 - Fine-mapping, novel loci identification, and SNP association transferability in a genome-wide association study of QRS duration in African Americans. JF - Hum Mol Genet Y1 - 2016 A1 - Evans, Daniel S A1 - Avery, Christy L A1 - Nalls, Mike A A1 - Li, Guo A1 - Barnard, John A1 - Smith, Erin N A1 - Tanaka, Toshiko A1 - Butler, Anne M A1 - Buxbaum, Sarah G A1 - Alonso, Alvaro A1 - Arking, Dan E A1 - Berenson, Gerald S A1 - Bis, Joshua C A1 - Buyske, Steven A1 - Carty, Cara L A1 - Chen, Wei A1 - Chung, Mina K A1 - Cummings, Steven R A1 - Deo, Rajat A1 - Eaton, Charles B A1 - Fox, Ervin R A1 - Heckbert, Susan R A1 - Heiss, Gerardo A1 - Hindorff, Lucia A A1 - Hsueh, Wen-Chi A1 - Isaacs, Aaron A1 - Jamshidi, Yalda A1 - Kerr, Kathleen F A1 - Liu, Felix A1 - Liu, Yongmei A1 - Lohman, Kurt K A1 - Magnani, Jared W A1 - Maher, Joseph F A1 - Mehra, Reena A1 - Meng, Yan A A1 - Musani, Solomon K A1 - Newton-Cheh, Christopher A1 - North, Kari E A1 - Psaty, Bruce M A1 - Redline, Susan A1 - Rotter, Jerome I A1 - Schnabel, Renate B A1 - Schork, Nicholas J A1 - Shohet, Ralph V A1 - Singleton, Andrew B A1 - Smith, Jonathan D A1 - Soliman, Elsayed Z A1 - Srinivasan, Sathanur R A1 - Taylor, Herman A A1 - Van Wagoner, David R A1 - Wilson, James G A1 - Young, Taylor A1 - Zhang, Zhu-Ming A1 - Zonderman, Alan B A1 - Evans, Michele K A1 - Ferrucci, Luigi A1 - Murray, Sarah S A1 - Tranah, Gregory J A1 - Whitsel, Eric A A1 - Reiner, Alex P A1 - Sotoodehnia, Nona AB -

The electrocardiographic QRS duration, a measure of ventricular depolarization and conduction, is associated with cardiovascular mortality. While single nucleotide polymorphisms (SNPs) associated with QRS duration have been identified at 22 loci in populations of European descent, the genetic architecture of QRS duration in non-European populations is largely unknown. We therefore performed a genome-wide association study (GWAS) meta-analysis of QRS duration in 13,031 African Americans from ten cohorts and a transethnic GWAS meta-analysis with additional results from populations of European descent. In the African American GWAS, a single genome-wide significant SNP association was identified (rs3922844, P = 4 × 10(-14)) in intron 16 of SCN5A, a voltage-gated cardiac sodium channel gene. The QRS-prolonging rs3922844 C allele was also associated with decreased SCN5A RNA expression in human atrial tissue (P = 1.1 × 10(-4)). High density genotyping revealed that the SCN5A association region in African Americans was confined to intron 16. Transethnic GWAS meta-analysis identified novel SNP associations on chromosome 18 in MYL12A (rs1662342, P = 4.9 × 10(-8)) and chromosome 1 near CD1E and SPTA1 (rs7547997, P = 7.9 × 10(-9)). The 22 QRS loci previously identified in populations of European descent were enriched for significant SNP associations with QRS duration in African Americans (P = 9.9 × 10(-7)), and index SNP associations in or near SCN5A, SCN10A, CDKN1A, NFIA, HAND1, TBX5 and SETBP1 replicated in African Americans. In summary, rs3922844 was associated with QRS duration and SCN5A expression, two novel QRS loci were identified using transethnic meta-analysis, and a significant proportion of QRS-SNP associations discovered in populations of European descent were transferable to African Americans when adequate power was achieved.

ER - TY - JOUR T1 - Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases. JF - Am J Hum Genet Y1 - 2016 A1 - Tajuddin, Salman M A1 - Schick, Ursula M A1 - Eicher, John D A1 - Chami, Nathalie A1 - Giri, Ayush A1 - Brody, Jennifer A A1 - Hill, W David A1 - Kacprowski, Tim A1 - Li, Jin A1 - Lyytikäinen, Leo-Pekka A1 - Manichaikul, Ani A1 - Mihailov, Evelin A1 - O'Donoghue, Michelle L A1 - Pankratz, Nathan A1 - Pazoki, Raha A1 - Polfus, Linda M A1 - Smith, Albert Vernon A1 - Schurmann, Claudia A1 - Vacchi-Suzzi, Caterina A1 - Waterworth, Dawn M A1 - Evangelou, Evangelos A1 - Yanek, Lisa R A1 - Burt, Amber A1 - Chen, Ming-Huei A1 - van Rooij, Frank J A A1 - Floyd, James S A1 - Greinacher, Andreas A1 - Harris, Tamara B A1 - Highland, Heather M A1 - Lange, Leslie A A1 - Liu, Yongmei A1 - Mägi, Reedik A1 - Nalls, Mike A A1 - Mathias, Rasika A A1 - Nickerson, Deborah A A1 - Nikus, Kjell A1 - Starr, John M A1 - Tardif, Jean-Claude A1 - Tzoulaki, Ioanna A1 - Velez Edwards, Digna R A1 - Wallentin, Lars A1 - Bartz, Traci M A1 - Becker, Lewis C A1 - Denny, Joshua C A1 - Raffield, Laura M A1 - Rioux, John D A1 - Friedrich, Nele A1 - Fornage, Myriam A1 - Gao, He A1 - Hirschhorn, Joel N A1 - Liewald, David C M A1 - Rich, Stephen S A1 - Uitterlinden, Andre A1 - Bastarache, Lisa A1 - Becker, Diane M A1 - Boerwinkle, Eric A1 - de Denus, Simon A1 - Bottinger, Erwin P A1 - Hayward, Caroline A1 - Hofman, Albert A1 - Homuth, Georg A1 - Lange, Ethan A1 - Launer, Lenore J A1 - Lehtimäki, Terho A1 - Lu, Yingchang A1 - Metspalu, Andres A1 - O'Donnell, Chris J A1 - Quarells, Rakale C A1 - Richard, Melissa A1 - Torstenson, Eric S A1 - Taylor, Kent D A1 - Vergnaud, Anne-Claire A1 - Zonderman, Alan B A1 - Crosslin, David R A1 - Deary, Ian J A1 - Dörr, Marcus A1 - Elliott, Paul A1 - Evans, Michele K A1 - Gudnason, Vilmundur A1 - Kähönen, Mika A1 - Psaty, Bruce M A1 - Rotter, Jerome I A1 - Slater, Andrew J A1 - Dehghan, Abbas A1 - White, Harvey D A1 - Ganesh, Santhi K A1 - Loos, Ruth J F A1 - Esko, Tõnu A1 - Faraday, Nauder A1 - Wilson, James G A1 - Cushman, Mary A1 - Johnson, Andrew D A1 - Edwards, Todd L A1 - Zakai, Neil A A1 - Lettre, Guillaume A1 - Reiner, Alex P A1 - Auer, Paul L AB -

White blood cells play diverse roles in innate and adaptive immunity. Genetic association analyses of phenotypic variation in circulating white blood cell (WBC) counts from large samples of otherwise healthy individuals can provide insights into genes and biologic pathways involved in production, differentiation, or clearance of particular WBC lineages (myeloid, lymphoid) and also potentially inform the genetic basis of autoimmune, allergic, and blood diseases. We performed an exome array-based meta-analysis of total WBC and subtype counts (neutrophils, monocytes, lymphocytes, basophils, and eosinophils) in a multi-ancestry discovery and replication sample of ∼157,622 individuals from 25 studies. We identified 16 common variants (8 of which were coding variants) associated with one or more WBC traits, the majority of which are pleiotropically associated with autoimmune diseases. Based on functional annotation, these loci included genes encoding surface markers of myeloid, lymphoid, or hematopoietic stem cell differentiation (CD69, CD33, CD87), transcription factors regulating lineage specification during hematopoiesis (ASXL1, IRF8, IKZF1, JMJD1C, ETS2-PSMG1), and molecules involved in neutrophil clearance/apoptosis (C10orf54, LTA), adhesion (TNXB), or centrosome and microtubule structure/function (KIF9, TUBD1). Together with recent reports of somatic ASXL1 mutations among individuals with idiopathic cytopenias or clonal hematopoiesis of undetermined significance, the identification of a common regulatory 3' UTR variant of ASXL1 suggests that both germline and somatic ASXL1 mutations contribute to lower blood counts in otherwise asymptomatic individuals. These association results shed light on genetic mechanisms that regulate circulating WBC counts and suggest a prominent shared genetic architecture with inflammatory and autoimmune diseases.

VL - 99 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/27346689?dopt=Abstract ER - TY - JOUR T1 - A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration. JF - Hum Mol Genet Y1 - 2016 A1 - de Vries, Paul S A1 - Chasman, Daniel I A1 - Sabater-Lleal, Maria A1 - Chen, Ming-Huei A1 - Huffman, Jennifer E A1 - Steri, Maristella A1 - Tang, Weihong A1 - Teumer, Alexander A1 - Marioni, Riccardo E A1 - Grossmann, Vera A1 - Hottenga, Jouke J A1 - Trompet, Stella A1 - Müller-Nurasyid, Martina A1 - Zhao, Jing Hua A1 - Brody, Jennifer A A1 - Kleber, Marcus E A1 - Guo, Xiuqing A1 - Wang, Jie Jin A1 - Auer, Paul L A1 - Attia, John R A1 - Yanek, Lisa R A1 - Ahluwalia, Tarunveer S A1 - Lahti, Jari A1 - Venturini, Cristina A1 - Tanaka, Toshiko A1 - Bielak, Lawrence F A1 - Joshi, Peter K A1 - Rocanin-Arjo, Ares A1 - Kolcic, Ivana A1 - Navarro, Pau A1 - Rose, Lynda M A1 - Oldmeadow, Christopher A1 - Riess, Helene A1 - Mazur, Johanna A1 - Basu, Saonli A1 - Goel, Anuj A1 - Yang, Qiong A1 - Ghanbari, Mohsen A1 - Willemsen, Gonneke A1 - Rumley, Ann A1 - Fiorillo, Edoardo A1 - de Craen, Anton J M A1 - Grotevendt, Anne A1 - Scott, Robert A1 - Taylor, Kent D A1 - Delgado, Graciela E A1 - Yao, Jie A1 - Kifley, Annette A1 - Kooperberg, Charles A1 - Qayyum, Rehan A1 - Lopez, Lorna M A1 - Berentzen, Tina L A1 - Räikkönen, Katri A1 - Mangino, Massimo A1 - Bandinelli, Stefania A1 - Peyser, Patricia A A1 - Wild, Sarah A1 - Trégouët, David-Alexandre A1 - Wright, Alan F A1 - Marten, Jonathan A1 - Zemunik, Tatijana A1 - Morrison, Alanna C A1 - Sennblad, Bengt A1 - Tofler, Geoffrey A1 - de Maat, Moniek P M A1 - de Geus, Eco J C A1 - Lowe, Gordon D A1 - Zoledziewska, Magdalena A1 - Sattar, Naveed A1 - Binder, Harald A1 - Völker, Uwe A1 - Waldenberger, Melanie A1 - Khaw, Kay-Tee A1 - McKnight, Barbara A1 - Huang, Jie A1 - Jenny, Nancy S A1 - Holliday, Elizabeth G A1 - Qi, Lihong A1 - Mcevoy, Mark G A1 - Becker, Diane M A1 - Starr, John M A1 - Sarin, Antti-Pekka A1 - Hysi, Pirro G A1 - Hernandez, Dena G A1 - Jhun, Min A A1 - Campbell, Harry A1 - Hamsten, Anders A1 - Rivadeneira, Fernando A1 - McArdle, Wendy L A1 - Slagboom, P Eline A1 - Zeller, Tanja A1 - Koenig, Wolfgang A1 - Psaty, Bruce M A1 - Haritunians, Talin A1 - Liu, Jingmin A1 - Palotie, Aarno A1 - Uitterlinden, André G A1 - Stott, David J A1 - Hofman, Albert A1 - Franco, Oscar H A1 - Polasek, Ozren A1 - Rudan, Igor A1 - Morange, Pierre-Emmanuel A1 - Wilson, James F A1 - Kardia, Sharon L R A1 - Ferrucci, Luigi A1 - Spector, Tim D A1 - Eriksson, Johan G A1 - Hansen, Torben A1 - Deary, Ian J A1 - Becker, Lewis C A1 - Scott, Rodney J A1 - Mitchell, Paul A1 - März, Winfried A1 - Wareham, Nick J A1 - Peters, Annette A1 - Greinacher, Andreas A1 - Wild, Philipp S A1 - Jukema, J Wouter A1 - Boomsma, Dorret I A1 - Hayward, Caroline A1 - Cucca, Francesco A1 - Tracy, Russell A1 - Watkins, Hugh A1 - Reiner, Alex P A1 - Folsom, Aaron R A1 - Ridker, Paul M A1 - O'Donnell, Christopher J A1 - Smith, Nicholas L A1 - Strachan, David P A1 - Dehghan, Abbas AB -

Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including ∼120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3% of the variance in plasma fibrinogen concentration.

VL - 25 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26561523?dopt=Abstract ER - TY - JOUR T1 - Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals. JF - Am J Hum Genet Y1 - 2016 A1 - Eicher, John D A1 - Chami, Nathalie A1 - Kacprowski, Tim A1 - Nomura, Akihiro A1 - Chen, Ming-Huei A1 - Yanek, Lisa R A1 - Tajuddin, Salman M A1 - Schick, Ursula M A1 - Slater, Andrew J A1 - Pankratz, Nathan A1 - Polfus, Linda A1 - Schurmann, Claudia A1 - Giri, Ayush A1 - Brody, Jennifer A A1 - Lange, Leslie A A1 - Manichaikul, Ani A1 - Hill, W David A1 - Pazoki, Raha A1 - Elliot, Paul A1 - Evangelou, Evangelos A1 - Tzoulaki, Ioanna A1 - Gao, He A1 - Vergnaud, Anne-Claire A1 - Mathias, Rasika A A1 - Becker, Diane M A1 - Becker, Lewis C A1 - Burt, Amber A1 - Crosslin, David R A1 - Lyytikäinen, Leo-Pekka A1 - Nikus, Kjell A1 - Hernesniemi, Jussi A1 - Kähönen, Mika A1 - Raitoharju, Emma A1 - Mononen, Nina A1 - Raitakari, Olli T A1 - Lehtimäki, Terho A1 - Cushman, Mary A1 - Zakai, Neil A A1 - Nickerson, Deborah A A1 - Raffield, Laura M A1 - Quarells, Rakale A1 - Willer, Cristen J A1 - Peloso, Gina M A1 - Abecasis, Goncalo R A1 - Liu, Dajiang J A1 - Deloukas, Panos A1 - Samani, Nilesh J A1 - Schunkert, Heribert A1 - Erdmann, Jeanette A1 - Fornage, Myriam A1 - Richard, Melissa A1 - Tardif, Jean-Claude A1 - Rioux, John D A1 - Dubé, Marie-Pierre A1 - de Denus, Simon A1 - Lu, Yingchang A1 - Bottinger, Erwin P A1 - Loos, Ruth J F A1 - Smith, Albert Vernon A1 - Harris, Tamara B A1 - Launer, Lenore J A1 - Gudnason, Vilmundur A1 - Velez Edwards, Digna R A1 - Torstenson, Eric S A1 - Liu, Yongmei A1 - Tracy, Russell P A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Highland, Heather M A1 - Boerwinkle, Eric A1 - Li, Jin A1 - Lange, Ethan A1 - Wilson, James G A1 - Mihailov, Evelin A1 - Mägi, Reedik A1 - Hirschhorn, Joel A1 - Metspalu, Andres A1 - Esko, Tõnu A1 - Vacchi-Suzzi, Caterina A1 - Nalls, Mike A A1 - Zonderman, Alan B A1 - Evans, Michele K A1 - Engström, Gunnar A1 - Orho-Melander, Marju A1 - Melander, Olle A1 - O'Donoghue, Michelle L A1 - Waterworth, Dawn M A1 - Wallentin, Lars A1 - White, Harvey D A1 - Floyd, James S A1 - Bartz, Traci M A1 - Rice, Kenneth M A1 - Psaty, Bruce M A1 - Starr, J M A1 - Liewald, David C M A1 - Hayward, Caroline A1 - Deary, Ian J A1 - Greinacher, Andreas A1 - Völker, Uwe A1 - Thiele, Thomas A1 - Völzke, Henry A1 - van Rooij, Frank J A A1 - Uitterlinden, André G A1 - Franco, Oscar H A1 - Dehghan, Abbas A1 - Edwards, Todd L A1 - Ganesh, Santhi K A1 - Kathiresan, Sekar A1 - Faraday, Nauder A1 - Auer, Paul L A1 - Reiner, Alex P A1 - Lettre, Guillaume A1 - Johnson, Andrew D AB -

Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets' important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors.

VL - 99 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/27346686?dopt=Abstract ER - TY - JOUR T1 - SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. JF - J Am Soc Nephrol Y1 - 2016 A1 - Li, Man A1 - Li, Yong A1 - Weeks, Olivia A1 - Mijatovic, Vladan A1 - Teumer, Alexander A1 - Huffman, Jennifer E A1 - Tromp, Gerard A1 - Fuchsberger, Christian A1 - Gorski, Mathias A1 - Lyytikäinen, Leo-Pekka A1 - Nutile, Teresa A1 - Sedaghat, Sanaz A1 - Sorice, Rossella A1 - Tin, Adrienne A1 - Yang, Qiong A1 - Ahluwalia, Tarunveer S A1 - Arking, Dan E A1 - Bihlmeyer, Nathan A A1 - Böger, Carsten A A1 - Carroll, Robert J A1 - Chasman, Daniel I A1 - Cornelis, Marilyn C A1 - Dehghan, Abbas A1 - Faul, Jessica D A1 - Feitosa, Mary F A1 - Gambaro, Giovanni A1 - Gasparini, Paolo A1 - Giulianini, Franco A1 - Heid, Iris A1 - Huang, Jinyan A1 - Imboden, Medea A1 - Jackson, Anne U A1 - Jeff, Janina A1 - Jhun, Min A A1 - Katz, Ronit A1 - Kifley, Annette A1 - Kilpeläinen, Tuomas O A1 - Kumar, Ashish A1 - Laakso, Markku A1 - Li-Gao, Ruifang A1 - Lohman, Kurt A1 - Lu, Yingchang A1 - Mägi, Reedik A1 - Malerba, Giovanni A1 - Mihailov, Evelin A1 - Mohlke, Karen L A1 - Mook-Kanamori, Dennis O A1 - Robino, Antonietta A1 - Ruderfer, Douglas A1 - Salvi, Erika A1 - Schick, Ursula M A1 - Schulz, Christina-Alexandra A1 - Smith, Albert V A1 - Smith, Jennifer A A1 - Traglia, Michela A1 - Yerges-Armstrong, Laura M A1 - Zhao, Wei A1 - Goodarzi, Mark O A1 - Kraja, Aldi T A1 - Liu, Chunyu A1 - Wessel, Jennifer A1 - Boerwinkle, Eric A1 - Borecki, Ingrid B A1 - Bork-Jensen, Jette A1 - Bottinger, Erwin P A1 - Braga, Daniele A1 - Brandslund, Ivan A1 - Brody, Jennifer A A1 - Campbell, Archie A1 - Carey, David J A1 - Christensen, Cramer A1 - Coresh, Josef A1 - Crook, Errol A1 - Curhan, Gary C A1 - Cusi, Daniele A1 - de Boer, Ian H A1 - de Vries, Aiko P J A1 - Denny, Joshua C A1 - Devuyst, Olivier A1 - Dreisbach, Albert W A1 - Endlich, Karlhans A1 - Esko, Tõnu A1 - Franco, Oscar H A1 - Fulop, Tibor A1 - Gerhard, Glenn S A1 - Glümer, Charlotte A1 - Gottesman, Omri A1 - Grarup, Niels A1 - Gudnason, Vilmundur A1 - Harris, Tamara B A1 - Hayward, Caroline A1 - Hocking, Lynne A1 - Hofman, Albert A1 - Hu, Frank B A1 - Husemoen, Lise Lotte N A1 - Jackson, Rebecca D A1 - Jørgensen, Torben A1 - Jørgensen, Marit E A1 - Kähönen, Mika A1 - Kardia, Sharon L R A1 - König, Wolfgang A1 - Kooperberg, Charles A1 - Kriebel, Jennifer A1 - Launer, Lenore J A1 - Lauritzen, Torsten A1 - Lehtimäki, Terho A1 - Levy, Daniel A1 - Linksted, Pamela A1 - Linneberg, Allan A1 - Liu, Yongmei A1 - Loos, Ruth J F A1 - Lupo, Antonio A1 - Meisinger, Christine A1 - Melander, Olle A1 - Metspalu, Andres A1 - Mitchell, Paul A1 - Nauck, Matthias A1 - Nürnberg, Peter A1 - Orho-Melander, Marju A1 - Parsa, Afshin A1 - Pedersen, Oluf A1 - Peters, Annette A1 - Peters, Ulrike A1 - Polasek, Ozren A1 - Porteous, David A1 - Probst-Hensch, Nicole M A1 - Psaty, Bruce M A1 - Qi, Lu A1 - Raitakari, Olli T A1 - Reiner, Alex P A1 - Rettig, Rainer A1 - Ridker, Paul M A1 - Rivadeneira, Fernando A1 - Rossouw, Jacques E A1 - Schmidt, Frank A1 - Siscovick, David A1 - Soranzo, Nicole A1 - Strauch, Konstantin A1 - Toniolo, Daniela A1 - Turner, Stephen T A1 - Uitterlinden, André G A1 - Ulivi, Sheila A1 - Velayutham, Dinesh A1 - Völker, Uwe A1 - Völzke, Henry A1 - Waldenberger, Melanie A1 - Wang, Jie Jin A1 - Weir, David R A1 - Witte, Daniel A1 - Kuivaniemi, Helena A1 - Fox, Caroline S A1 - Franceschini, Nora A1 - Goessling, Wolfram A1 - Köttgen, Anna A1 - Chu, Audrey Y AB -

Genome-wide association studies have identified >50 common variants associated with kidney function, but these variants do not fully explain the variation in eGFR. We performed a two-stage meta-analysis of associations between genotypes from the Illumina exome array and eGFR on the basis of serum creatinine (eGFRcrea) among participants of European ancestry from the CKDGen Consortium (nStage1: 111,666; nStage2: 48,343). In single-variant analyses, we identified single nucleotide polymorphisms at seven new loci associated with eGFRcrea (PPM1J, EDEM3, ACP1, SPEG, EYA4, CYP1A1, and ATXN2L; PStage1<3.7×10(-7)), of which most were common and annotated as nonsynonymous variants. Gene-based analysis identified associations of functional rare variants in three genes with eGFRcrea, including a novel association with the SOS Ras/Rho guanine nucleotide exchange factor 2 gene, SOS2 (P=5.4×10(-8) by sequence kernel association test). Experimental follow-up in zebrafish embryos revealed changes in glomerular gene expression and renal tubule morphology in the embryonic kidney of acp1- and sos2-knockdowns. These developmental abnormalities associated with altered blood clearance rate and heightened prevalence of edema. This study expands the number of loci associated with kidney function and identifies novel genes with potential roles in kidney formation.

ER - TY - JOUR T1 - Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. JF - BioData Min Y1 - 2017 A1 - Holzinger, Emily R A1 - Verma, Shefali S A1 - Moore, Carrie B A1 - Hall, Molly A1 - De, Rishika A1 - Gilbert-Diamond, Diane A1 - Lanktree, Matthew B A1 - Pankratz, Nathan A1 - Amuzu, Antoinette A1 - Burt, Amber A1 - Dale, Caroline A1 - Dudek, Scott A1 - Furlong, Clement E A1 - Gaunt, Tom R A1 - Kim, Daniel Seung A1 - Riess, Helene A1 - Sivapalaratnam, Suthesh A1 - Tragante, Vinicius A1 - van Iperen, Erik P A A1 - Brautbar, Ariel A1 - Carrell, David S A1 - Crosslin, David R A1 - Jarvik, Gail P A1 - Kuivaniemi, Helena A1 - Kullo, Iftikhar J A1 - Larson, Eric B A1 - Rasmussen-Torvik, Laura J A1 - Tromp, Gerard A1 - Baumert, Jens A1 - Cruickshanks, Karen J A1 - Farrall, Martin A1 - Hingorani, Aroon D A1 - Hovingh, G K A1 - Kleber, Marcus E A1 - Klein, Barbara E A1 - Klein, Ronald A1 - Koenig, Wolfgang A1 - Lange, Leslie A A1 - Mӓrz, Winfried A1 - North, Kari E A1 - Charlotte Onland-Moret, N A1 - Reiner, Alex P A1 - Talmud, Philippa J A1 - van der Schouw, Yvonne T A1 - Wilson, James G A1 - Kivimaki, Mika A1 - Kumari, Meena A1 - Moore, Jason H A1 - Drenos, Fotios A1 - Asselbergs, Folkert W A1 - Keating, Brendan J A1 - Ritchie, Marylyn D AB -

BACKGROUND: The genetic etiology of human lipid quantitative traits is not fully elucidated, and interactions between variants may play a role. We performed a gene-centric interaction study for four different lipid traits: low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglycerides (TG).

RESULTS: Our analysis consisted of a discovery phase using a merged dataset of five different cohorts (n = 12,853 to n = 16,849 depending on lipid phenotype) and a replication phase with ten independent cohorts totaling up to 36,938 additional samples. Filters are often applied before interaction testing to correct for the burden of testing all pairwise interactions. We used two different filters: 1. A filter that tested only single nucleotide polymorphisms (SNPs) with a main effect of p < 0.001 in a previous association study. 2. A filter that only tested interactions identified by Biofilter 2.0. Pairwise models that reached an interaction significance level of p < 0.001 in the discovery dataset were tested for replication. We identified thirteen SNP-SNP models that were significant in more than one replication cohort after accounting for multiple testing.

CONCLUSIONS: These results may reveal novel insights into the genetic etiology of lipid levels. Furthermore, we developed a pipeline to perform a computationally efficient interaction analysis with multi-cohort replication.

VL - 10 ER - TY - JOUR T1 - Exome-wide association study of plasma lipids in >300,000 individuals. JF - Nat Genet Y1 - 2017 A1 - Liu, Dajiang J A1 - Peloso, Gina M A1 - Yu, Haojie A1 - Butterworth, Adam S A1 - Wang, Xiao A1 - Mahajan, Anubha A1 - Saleheen, Danish A1 - Emdin, Connor A1 - Alam, Dewan A1 - Alves, Alexessander Couto A1 - Amouyel, Philippe A1 - Di Angelantonio, Emanuele A1 - Arveiler, Dominique A1 - Assimes, Themistocles L A1 - Auer, Paul L A1 - Baber, Usman A1 - Ballantyne, Christie M A1 - Bang, Lia E A1 - Benn, Marianne A1 - Bis, Joshua C A1 - Boehnke, Michael A1 - Boerwinkle, Eric A1 - Bork-Jensen, Jette A1 - Bottinger, Erwin P A1 - Brandslund, Ivan A1 - Brown, Morris A1 - Busonero, Fabio A1 - Caulfield, Mark J A1 - Chambers, John C A1 - Chasman, Daniel I A1 - Chen, Y Eugene A1 - Chen, Yii-Der Ida A1 - Chowdhury, Rajiv A1 - Christensen, Cramer A1 - Chu, Audrey Y A1 - Connell, John M A1 - Cucca, Francesco A1 - Cupples, L Adrienne A1 - Damrauer, Scott M A1 - Davies, Gail A1 - Deary, Ian J A1 - Dedoussis, George A1 - Denny, Joshua C A1 - Dominiczak, Anna A1 - Dubé, Marie-Pierre A1 - Ebeling, Tapani A1 - Eiriksdottir, Gudny A1 - Esko, Tõnu A1 - Farmaki, Aliki-Eleni A1 - Feitosa, Mary F A1 - Ferrario, Marco A1 - Ferrieres, Jean A1 - Ford, Ian A1 - Fornage, Myriam A1 - Franks, Paul W A1 - Frayling, Timothy M A1 - Frikke-Schmidt, Ruth A1 - Fritsche, Lars G A1 - Frossard, Philippe A1 - Fuster, Valentin A1 - Ganesh, Santhi K A1 - Gao, Wei A1 - Garcia, Melissa E A1 - Gieger, Christian A1 - Giulianini, Franco A1 - Goodarzi, Mark O A1 - Grallert, Harald A1 - Grarup, Niels A1 - Groop, Leif A1 - Grove, Megan L A1 - Gudnason, Vilmundur A1 - Hansen, Torben A1 - Harris, Tamara B A1 - Hayward, Caroline A1 - Hirschhorn, Joel N A1 - Holmen, Oddgeir L A1 - Huffman, Jennifer A1 - Huo, Yong A1 - Hveem, Kristian A1 - Jabeen, Sehrish A1 - Jackson, Anne U A1 - Jakobsdottir, Johanna A1 - Jarvelin, Marjo-Riitta A1 - Jensen, Gorm B A1 - Jørgensen, Marit E A1 - Jukema, J Wouter A1 - Justesen, Johanne M A1 - Kamstrup, Pia R A1 - Kanoni, Stavroula A1 - Karpe, Fredrik A1 - Kee, Frank A1 - Khera, Amit V A1 - Klarin, Derek A1 - Koistinen, Heikki A A1 - Kooner, Jaspal S A1 - Kooperberg, Charles A1 - Kuulasmaa, Kari A1 - Kuusisto, Johanna A1 - Laakso, Markku A1 - Lakka, Timo A1 - Langenberg, Claudia A1 - Langsted, Anne A1 - Launer, Lenore J A1 - Lauritzen, Torsten A1 - Liewald, David C M A1 - Lin, Li An A1 - Linneberg, Allan A1 - Loos, Ruth J F A1 - Lu, Yingchang A1 - Lu, Xiangfeng A1 - Mägi, Reedik A1 - Mälarstig, Anders A1 - Manichaikul, Ani A1 - Manning, Alisa K A1 - Mäntyselkä, Pekka A1 - Marouli, Eirini A1 - Masca, Nicholas G D A1 - Maschio, Andrea A1 - Meigs, James B A1 - Melander, Olle A1 - Metspalu, Andres A1 - Morris, Andrew P A1 - Morrison, Alanna C A1 - Mulas, Antonella A1 - Müller-Nurasyid, Martina A1 - Munroe, Patricia B A1 - Neville, Matt J A1 - Nielsen, Jonas B A1 - Nielsen, Sune F A1 - Nordestgaard, Børge G A1 - Ordovas, Jose M A1 - Mehran, Roxana A1 - O'Donnell, Christoper J A1 - Orho-Melander, Marju A1 - Molony, Cliona M A1 - Muntendam, Pieter A1 - Padmanabhan, Sandosh A1 - Palmer, Colin N A A1 - Pasko, Dorota A1 - Patel, Aniruddh P A1 - Pedersen, Oluf A1 - Perola, Markus A1 - Peters, Annette A1 - Pisinger, Charlotta A1 - Pistis, Giorgio A1 - Polasek, Ozren A1 - Poulter, Neil A1 - Psaty, Bruce M A1 - Rader, Daniel J A1 - Rasheed, Asif A1 - Rauramaa, Rainer A1 - Reilly, Dermot F A1 - Reiner, Alex P A1 - Renstrom, Frida A1 - Rich, Stephen S A1 - Ridker, Paul M A1 - Rioux, John D A1 - Robertson, Neil R A1 - Roden, Dan M A1 - Rotter, Jerome I A1 - Rudan, Igor A1 - Salomaa, Veikko A1 - Samani, Nilesh J A1 - Sanna, Serena A1 - Sattar, Naveed A1 - Schmidt, Ellen M A1 - Scott, Robert A A1 - Sever, Peter A1 - Sevilla, Raquel S A1 - Shaffer, Christian M A1 - Sim, Xueling A1 - Sivapalaratnam, Suthesh A1 - Small, Kerrin S A1 - Smith, Albert V A1 - Smith, Blair H A1 - Somayajula, Sangeetha A1 - Southam, Lorraine A1 - Spector, Timothy D A1 - Speliotes, Elizabeth K A1 - Starr, John M A1 - Stirrups, Kathleen E A1 - Stitziel, Nathan A1 - Strauch, Konstantin A1 - Stringham, Heather M A1 - Surendran, Praveen A1 - Tada, Hayato A1 - Tall, Alan R A1 - Tang, Hua A1 - Tardif, Jean-Claude A1 - Taylor, Kent D A1 - Trompet, Stella A1 - Tsao, Philip S A1 - Tuomilehto, Jaakko A1 - Tybjaerg-Hansen, Anne A1 - van Zuydam, Natalie R A1 - Varbo, Anette A1 - Varga, Tibor V A1 - Virtamo, Jarmo A1 - Waldenberger, Melanie A1 - Wang, Nan A1 - Wareham, Nick J A1 - Warren, Helen R A1 - Weeke, Peter E A1 - Weinstock, Joshua A1 - Wessel, Jennifer A1 - Wilson, James G A1 - Wilson, Peter W F A1 - Xu, Ming A1 - Yaghootkar, Hanieh A1 - Young, Robin A1 - Zeggini, Eleftheria A1 - Zhang, He A1 - Zheng, Neil S A1 - Zhang, Weihua A1 - Zhang, Yan A1 - Zhou, Wei A1 - Zhou, Yanhua A1 - Zoledziewska, Magdalena A1 - Howson, Joanna M M A1 - Danesh, John A1 - McCarthy, Mark I A1 - Cowan, Chad A A1 - Abecasis, Goncalo A1 - Deloukas, Panos A1 - Musunuru, Kiran A1 - Willer, Cristen J A1 - Kathiresan, Sekar KW - Coronary Artery Disease KW - Diabetes Mellitus, Type 2 KW - Exome KW - Genetic Association Studies KW - Genetic Predisposition to Disease KW - Genetic Variation KW - Genotype KW - Humans KW - Lipids KW - Macular Degeneration KW - Phenotype KW - Risk Factors AB -

We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD); (ii) excluding the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (iii) only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and (iv) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (TM6SF2 and PNPLA3) tracked with higher liver fat, higher risk for T2D, and lower risk for CAD, whereas TG-lowering alleles involved in peripheral lipolysis (LPL and ANGPTL4) had no effect on liver fat but decreased risks for both T2D and CAD.

VL - 49 IS - 12 ER - TY - JOUR T1 - Fifteen Genetic Loci Associated With the Electrocardiographic P Wave. JF - Circ Cardiovasc Genet Y1 - 2017 A1 - Christophersen, Ingrid E A1 - Magnani, Jared W A1 - Yin, Xiaoyan A1 - Barnard, John A1 - Weng, Lu-Chen A1 - Arking, Dan E A1 - Niemeijer, Maartje N A1 - Lubitz, Steven A A1 - Avery, Christy L A1 - Duan, Qing A1 - Felix, Stephan B A1 - Bis, Joshua C A1 - Kerr, Kathleen F A1 - Isaacs, Aaron A1 - Müller-Nurasyid, Martina A1 - Müller, Christian A1 - North, Kari E A1 - Reiner, Alex P A1 - Tinker, Lesley F A1 - Kors, Jan A A1 - Teumer, Alexander A1 - Petersmann, Astrid A1 - Sinner, Moritz F A1 - Bůzková, Petra A1 - Smith, Jonathan D A1 - Van Wagoner, David R A1 - Völker, Uwe A1 - Waldenberger, Melanie A1 - Peters, Annette A1 - Meitinger, Thomas A1 - Limacher, Marian C A1 - Wilhelmsen, Kirk C A1 - Psaty, Bruce M A1 - Hofman, Albert A1 - Uitterlinden, Andre A1 - Krijthe, Bouwe P A1 - Zhang, Zhu-Ming A1 - Schnabel, Renate B A1 - Kääb, Stefan A1 - van Duijn, Cornelia A1 - Rotter, Jerome I A1 - Sotoodehnia, Nona A1 - Dörr, Marcus A1 - Li, Yun A1 - Chung, Mina K A1 - Soliman, Elsayed Z A1 - Alonso, Alvaro A1 - Whitsel, Eric A A1 - Stricker, Bruno H A1 - Benjamin, Emelia J A1 - Heckbert, Susan R A1 - Ellinor, Patrick T KW - Arrhythmias, Cardiac KW - Caveolin 1 KW - Caveolin 2 KW - Electrocardiography KW - Genetic Loci KW - Genome-Wide Association Study KW - Genotype KW - Heart Atria KW - Humans KW - NAV1.5 Voltage-Gated Sodium Channel KW - NAV1.8 Voltage-Gated Sodium Channel KW - T-Box Domain Proteins AB -

BACKGROUND: The P wave on an ECG is a measure of atrial electric function, and its characteristics may serve as predictors for atrial arrhythmias. Increased mean P-wave duration and P-wave terminal force traditionally have been used as markers for left atrial enlargement, and both have been associated with increased risk of atrial fibrillation. Here, we explore the genetic basis of P-wave morphology through meta-analysis of genome-wide association study results for P-wave duration and P-wave terminal force from 12 cohort studies.

METHODS AND RESULTS: We included 44 456 individuals, of which 6778 (16%) were of African ancestry. Genotyping, imputation, and genome-wide association study were performed at each study site. Summary-level results were meta-analyzed centrally using inverse-variance weighting. In meta-analyses of P-wave duration, we identified 6 significant (P<5×10-8) novel loci and replicated a prior association with SCN10A. We identified 3 loci at SCN5A, TBX5, and CAV1/CAV2 that were jointly associated with the PR interval, PR segment, and P-wave duration. We identified 6 novel loci in meta-analysis of P-wave terminal force. Four of the identified genetic loci were significantly associated with gene expression in 329 left atrial samples. Finally, we observed that some of the loci associated with the P wave were linked to overall atrial conduction, whereas others identified distinct phases of atrial conduction.

CONCLUSIONS: We have identified 6 novel genetic loci associated with P-wave duration and 6 novel loci associated with P-wave terminal force. Future studies of these loci may aid in identifying new targets for drugs that may modify atrial conduction or treat atrial arrhythmias.

VL - 10 IS - 4 ER - TY - JOUR T1 - Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation. JF - Nat Genet Y1 - 2017 A1 - Christophersen, Ingrid E A1 - Rienstra, Michiel A1 - Roselli, Carolina A1 - Yin, Xiaoyan A1 - Geelhoed, Bastiaan A1 - Barnard, John A1 - Lin, Honghuang A1 - Arking, Dan E A1 - Smith, Albert V A1 - Albert, Christine M A1 - Chaffin, Mark A1 - Tucker, Nathan R A1 - Li, Molong A1 - Klarin, Derek A1 - Bihlmeyer, Nathan A A1 - Low, Siew-Kee A1 - Weeke, Peter E A1 - Müller-Nurasyid, Martina A1 - Smith, J Gustav A1 - Brody, Jennifer A A1 - Niemeijer, Maartje N A1 - Dörr, Marcus A1 - Trompet, Stella A1 - Huffman, Jennifer A1 - Gustafsson, Stefan A1 - Schurmann, Claudia A1 - Kleber, Marcus E A1 - Lyytikäinen, Leo-Pekka A1 - Seppälä, Ilkka A1 - Malik, Rainer A1 - Horimoto, Andrea R V R A1 - Perez, Marco A1 - Sinisalo, Juha A1 - Aeschbacher, Stefanie A1 - Thériault, Sébastien A1 - Yao, Jie A1 - Radmanesh, Farid A1 - Weiss, Stefan A1 - Teumer, Alexander A1 - Choi, Seung Hoan A1 - Weng, Lu-Chen A1 - Clauss, Sebastian A1 - Deo, Rajat A1 - Rader, Daniel J A1 - Shah, Svati H A1 - Sun, Albert A1 - Hopewell, Jemma C A1 - Debette, Stephanie A1 - Chauhan, Ganesh A1 - Yang, Qiong A1 - Worrall, Bradford B A1 - Paré, Guillaume A1 - Kamatani, Yoichiro A1 - Hagemeijer, Yanick P A1 - Verweij, Niek A1 - Siland, Joylene E A1 - Kubo, Michiaki A1 - Smith, Jonathan D A1 - Van Wagoner, David R A1 - Bis, Joshua C A1 - Perz, Siegfried A1 - Psaty, Bruce M A1 - Ridker, Paul M A1 - Magnani, Jared W A1 - Harris, Tamara B A1 - Launer, Lenore J A1 - Shoemaker, M Benjamin A1 - Padmanabhan, Sandosh A1 - Haessler, Jeffrey A1 - Bartz, Traci M A1 - Waldenberger, Melanie A1 - Lichtner, Peter A1 - Arendt, Marina A1 - Krieger, Jose E A1 - Kähönen, Mika A1 - Risch, Lorenz A1 - Mansur, Alfredo J A1 - Peters, Annette A1 - Smith, Blair H A1 - Lind, Lars A1 - Scott, Stuart A A1 - Lu, Yingchang A1 - Bottinger, Erwin B A1 - Hernesniemi, Jussi A1 - Lindgren, Cecilia M A1 - Wong, Jorge A A1 - Huang, Jie A1 - Eskola, Markku A1 - Morris, Andrew P A1 - Ford, Ian A1 - Reiner, Alex P A1 - Delgado, Graciela A1 - Chen, Lin Y A1 - Chen, Yii-Der Ida A1 - Sandhu, Roopinder K A1 - Li, Man A1 - Boerwinkle, Eric A1 - Eisele, Lewin A1 - Lannfelt, Lars A1 - Rost, Natalia A1 - Anderson, Christopher D A1 - Taylor, Kent D A1 - Campbell, Archie A1 - Magnusson, Patrik K A1 - Porteous, David A1 - Hocking, Lynne J A1 - Vlachopoulou, Efthymia A1 - Pedersen, Nancy L A1 - Nikus, Kjell A1 - Orho-Melander, Marju A1 - Hamsten, Anders A1 - Heeringa, Jan A1 - Denny, Joshua C A1 - Kriebel, Jennifer A1 - Darbar, Dawood A1 - Newton-Cheh, Christopher A1 - Shaffer, Christian A1 - Macfarlane, Peter W A1 - Heilmann-Heimbach, Stefanie A1 - Almgren, Peter A1 - Huang, Paul L A1 - Sotoodehnia, Nona A1 - Soliman, Elsayed Z A1 - Uitterlinden, André G A1 - Hofman, Albert A1 - Franco, Oscar H A1 - Völker, Uwe A1 - Jöckel, Karl-Heinz A1 - Sinner, Moritz F A1 - Lin, Henry J A1 - Guo, Xiuqing A1 - Dichgans, Martin A1 - Ingelsson, Erik A1 - Kooperberg, Charles A1 - Melander, Olle A1 - Loos, Ruth J F A1 - Laurikka, Jari A1 - Conen, David A1 - Rosand, Jonathan A1 - van der Harst, Pim A1 - Lokki, Marja-Liisa A1 - Kathiresan, Sekar A1 - Pereira, Alexandre A1 - Jukema, J Wouter A1 - Hayward, Caroline A1 - Rotter, Jerome I A1 - März, Winfried A1 - Lehtimäki, Terho A1 - Stricker, Bruno H A1 - Chung, Mina K A1 - Felix, Stephan B A1 - Gudnason, Vilmundur A1 - Alonso, Alvaro A1 - Roden, Dan M A1 - Kääb, Stefan A1 - Chasman, Daniel I A1 - Heckbert, Susan R A1 - Benjamin, Emelia J A1 - Tanaka, Toshihiro A1 - Lunetta, Kathryn L A1 - Lubitz, Steven A A1 - Ellinor, Patrick T AB -

Atrial fibrillation affects more than 33 million people worldwide and increases the risk of stroke, heart failure, and death. Fourteen genetic loci have been associated with atrial fibrillation in European and Asian ancestry groups. To further define the genetic basis of atrial fibrillation, we performed large-scale, trans-ancestry meta-analyses of common and rare variant association studies. The genome-wide association studies (GWAS) included 17,931 individuals with atrial fibrillation and 115,142 referents; the exome-wide association studies (ExWAS) and rare variant association studies (RVAS) involved 22,346 cases and 132,086 referents. We identified 12 new genetic loci that exceeded genome-wide significance, implicating genes involved in cardiac electrical and structural remodeling. Our results nearly double the number of known genetic loci for atrial fibrillation, provide insights into the molecular basis of atrial fibrillation, and may facilitate the identification of new potential targets for drug discovery.

VL - 49 IS - 6 ER - TY - JOUR T1 - Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations. JF - PLoS Genet Y1 - 2017 A1 - Liang, Jingjing A1 - Le, Thu H A1 - Edwards, Digna R Velez A1 - Tayo, Bamidele O A1 - Gaulton, Kyle J A1 - Smith, Jennifer A A1 - Lu, Yingchang A1 - Jensen, Richard A A1 - Chen, Guanjie A1 - Yanek, Lisa R A1 - Schwander, Karen A1 - Tajuddin, Salman M A1 - Sofer, Tamar A1 - Kim, Wonji A1 - Kayima, James A1 - McKenzie, Colin A A1 - Fox, Ervin A1 - Nalls, Michael A A1 - Young, J Hunter A1 - Sun, Yan V A1 - Lane, Jacqueline M A1 - Cechova, Sylvia A1 - Zhou, Jie A1 - Tang, Hua A1 - Fornage, Myriam A1 - Musani, Solomon K A1 - Wang, Heming A1 - Lee, Juyoung A1 - Adeyemo, Adebowale A1 - Dreisbach, Albert W A1 - Forrester, Terrence A1 - Chu, Pei-Lun A1 - Cappola, Anne A1 - Evans, Michele K A1 - Morrison, Alanna C A1 - Martin, Lisa W A1 - Wiggins, Kerri L A1 - Hui, Qin A1 - Zhao, Wei A1 - Jackson, Rebecca D A1 - Ware, Erin B A1 - Faul, Jessica D A1 - Reiner, Alex P A1 - Bray, Michael A1 - Denny, Joshua C A1 - Mosley, Thomas H A1 - Palmas, Walter A1 - Guo, Xiuqing A1 - Papanicolaou, George J A1 - Penman, Alan D A1 - Polak, Joseph F A1 - Rice, Kenneth A1 - Taylor, Ken D A1 - Boerwinkle, Eric A1 - Bottinger, Erwin P A1 - Liu, Kiang A1 - Risch, Neil A1 - Hunt, Steven C A1 - Kooperberg, Charles A1 - Zonderman, Alan B A1 - Laurie, Cathy C A1 - Becker, Diane M A1 - Cai, Jianwen A1 - Loos, Ruth J F A1 - Psaty, Bruce M A1 - Weir, David R A1 - Kardia, Sharon L R A1 - Arnett, Donna K A1 - Won, Sungho A1 - Edwards, Todd L A1 - Redline, Susan A1 - Cooper, Richard S A1 - Rao, D C A1 - Rotter, Jerome I A1 - Rotimi, Charles A1 - Levy, Daniel A1 - Chakravarti, Aravinda A1 - Zhu, Xiaofeng A1 - Franceschini, Nora KW - African Americans KW - Animals KW - Basic Helix-Loop-Helix Transcription Factors KW - Blood Pressure KW - Cadherins KW - Case-Control Studies KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Hypertension KW - Male KW - Membrane Proteins KW - Mice KW - Multifactorial Inheritance KW - Polymorphism, Single Nucleotide AB -

Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25×10-8) for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4) and multiple-trait analyses identified one novel locus (FRMD3) for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.

VL - 13 IS - 5 ER - TY - JOUR T1 - Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study. JF - Am J Hematol Y1 - 2018 A1 - Jo Hodonsky, Chani A1 - Schurmann, Claudia A1 - Schick, Ursula M A1 - Kocarnik, Jonathan A1 - Tao, Ran A1 - van Rooij, Frank Ja A1 - Wassel, Christina A1 - Buyske, Steve A1 - Fornage, Myriam A1 - Hindorff, Lucia A A1 - Floyd, James S A1 - Ganesh, Santhi K A1 - Lin, Dan-Yu A1 - North, Kari E A1 - Reiner, Alex P A1 - Loos, Ruth Jf A1 - Kooperberg, Charles A1 - Avery, Christy L AB -

Red blood cell (RBC) traits provide insight into a wide range of physiological states and exhibit moderate to high heritability, making them excellent candidates for genetic studies to inform underlying biologic mechanisms. Previous RBC trait genome-wide association studies were performed primarily in European- or Asian-ancestry populations, missing opportunities to inform understanding of RBC genetic architecture in diverse populations and reduce intervals surrounding putative functional SNPs through fine-mapping. Here, we report the first fine-mapping of six correlated (Pearson's r range: |0.04 - 0.92|) RBC traits in up to 19,036 African Americans and 19,562 Hispanic/Latinos participants of the Population Architecture using Genomics and Epidemiology (PAGE) consortium. Trans-ethnic meta-analysis of race/ethnic- and study-specific estimates for approximately 11,000 SNPs flanking 13 previously identified association signals as well as 150,000 additional array-wide SNPs was performed using inverse-variance meta-analysis after adjusting for study and clinical covariates. Approximately half of previously reported index SNP-RBC trait associations generalized to the trans-ethnic study population (p<1.7x10 ); previously unreported independent association signals within the ABO region reinforce the potential for multiple functional variants affecting the same locus. Trans-ethnic fine-mapping did not reveal additional signals at the HFE locus independent of the known functional variants. Finally, we identified a potential novel association in the Hispanic/Latino study population at the HECTD4/RPL6 locus for RBC count (p=1.9x10 ). The identification of a previously unknown association, generalization of a large proportion of known association signals, and refinement of known association signals all exemplify the benefits of genetic studies in diverse populations. This article is protected by copyright. All rights reserved.

ER - TY - JOUR T1 - Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. JF - Am J Hum Genet Y1 - 2018 A1 - Ligthart, Symen A1 - Vaez, Ahmad A1 - Võsa, Urmo A1 - Stathopoulou, Maria G A1 - de Vries, Paul S A1 - Prins, Bram P A1 - van der Most, Peter J A1 - Tanaka, Toshiko A1 - Naderi, Elnaz A1 - Rose, Lynda M A1 - Wu, Ying A1 - Karlsson, Robert A1 - Barbalic, Maja A1 - Lin, Honghuang A1 - Pool, Rene A1 - Zhu, Gu A1 - Mace, Aurelien A1 - Sidore, Carlo A1 - Trompet, Stella A1 - Mangino, Massimo A1 - Sabater-Lleal, Maria A1 - Kemp, John P A1 - Abbasi, Ali A1 - Kacprowski, Tim A1 - Verweij, Niek A1 - Smith, Albert V A1 - Huang, Tao A1 - Marzi, Carola A1 - Feitosa, Mary F A1 - Lohman, Kurt K A1 - Kleber, Marcus E A1 - Milaneschi, Yuri A1 - Mueller, Christian A1 - Huq, Mahmudul A1 - Vlachopoulou, Efthymia A1 - Lyytikäinen, Leo-Pekka A1 - Oldmeadow, Christopher A1 - Deelen, Joris A1 - Perola, Markus A1 - Zhao, Jing Hua A1 - Feenstra, Bjarke A1 - Amini, Marzyeh A1 - Lahti, Jari A1 - Schraut, Katharina E A1 - Fornage, Myriam A1 - Suktitipat, Bhoom A1 - Chen, Wei-Min A1 - Li, Xiaohui A1 - Nutile, Teresa A1 - Malerba, Giovanni A1 - Luan, Jian'an A1 - Bak, Tom A1 - Schork, Nicholas A1 - del Greco M, Fabiola A1 - Thiering, Elisabeth A1 - Mahajan, Anubha A1 - Marioni, Riccardo E A1 - Mihailov, Evelin A1 - Eriksson, Joel A1 - Ozel, Ayse Bilge A1 - Zhang, Weihua A1 - Nethander, Maria A1 - Cheng, Yu-Ching A1 - Aslibekyan, Stella A1 - Ang, Wei A1 - Gandin, Ilaria A1 - Yengo, Loic A1 - Portas, Laura A1 - Kooperberg, Charles A1 - Hofer, Edith A1 - Rajan, Kumar B A1 - Schurmann, Claudia A1 - den Hollander, Wouter A1 - Ahluwalia, Tarunveer S A1 - Zhao, Jing A1 - Draisma, Harmen H M A1 - Ford, Ian A1 - Timpson, Nicholas A1 - Teumer, Alexander A1 - Huang, Hongyan A1 - Wahl, Simone A1 - Liu, Yongmei A1 - Huang, Jie A1 - Uh, Hae-Won A1 - Geller, Frank A1 - Joshi, Peter K A1 - Yanek, Lisa R A1 - Trabetti, Elisabetta A1 - Lehne, Benjamin A1 - Vozzi, Diego A1 - Verbanck, Marie A1 - Biino, Ginevra A1 - Saba, Yasaman A1 - Meulenbelt, Ingrid A1 - O'Connell, Jeff R A1 - Laakso, Markku A1 - Giulianini, Franco A1 - Magnusson, Patrik K E A1 - Ballantyne, Christie M A1 - Hottenga, Jouke Jan A1 - Montgomery, Grant W A1 - Rivadineira, Fernando A1 - Rueedi, Rico A1 - Steri, Maristella A1 - Herzig, Karl-Heinz A1 - Stott, David J A1 - Menni, Cristina A1 - Frånberg, Mattias A1 - St Pourcain, Beate A1 - Felix, Stephan B A1 - Pers, Tune H A1 - Bakker, Stephan J L A1 - Kraft, Peter A1 - Peters, Annette A1 - Vaidya, Dhananjay A1 - Delgado, Graciela A1 - Smit, Johannes H A1 - Großmann, Vera A1 - Sinisalo, Juha A1 - Seppälä, Ilkka A1 - Williams, Stephen R A1 - Holliday, Elizabeth G A1 - Moed, Matthijs A1 - Langenberg, Claudia A1 - Räikkönen, Katri A1 - Ding, Jingzhong A1 - Campbell, Harry A1 - Sale, Michèle M A1 - Chen, Yii-der I A1 - James, Alan L A1 - Ruggiero, Daniela A1 - Soranzo, Nicole A1 - Hartman, Catharina A A1 - Smith, Erin N A1 - Berenson, Gerald S A1 - Fuchsberger, Christian A1 - Hernandez, Dena A1 - Tiesler, Carla M T A1 - Giedraitis, Vilmantas A1 - Liewald, David A1 - Fischer, Krista A1 - Mellström, Dan A1 - Larsson, Anders A1 - Wang, Yunmei A1 - Scott, William R A1 - Lorentzon, Matthias A1 - Beilby, John A1 - Ryan, Kathleen A A1 - Pennell, Craig E A1 - Vuckovic, Dragana A1 - Balkau, Beverly A1 - Concas, Maria Pina A1 - Schmidt, Reinhold A1 - Mendes de Leon, Carlos F A1 - Bottinger, Erwin P A1 - Kloppenburg, Margreet A1 - Paternoster, Lavinia A1 - Boehnke, Michael A1 - Musk, A W A1 - Willemsen, Gonneke A1 - Evans, David M A1 - Madden, Pamela A F A1 - Kähönen, Mika A1 - Kutalik, Zoltán A1 - Zoledziewska, Magdalena A1 - Karhunen, Ville A1 - Kritchevsky, Stephen B A1 - Sattar, Naveed A1 - Lachance, Genevieve A1 - Clarke, Robert A1 - Harris, Tamara B A1 - Raitakari, Olli T A1 - Attia, John R A1 - van Heemst, Diana A1 - Kajantie, Eero A1 - Sorice, Rossella A1 - Gambaro, Giovanni A1 - Scott, Robert A A1 - Hicks, Andrew A A1 - Ferrucci, Luigi A1 - Standl, Marie A1 - Lindgren, Cecilia M A1 - Starr, John M A1 - Karlsson, Magnus A1 - Lind, Lars A1 - Li, Jun Z A1 - Chambers, John C A1 - Mori, Trevor A A1 - de Geus, Eco J C N A1 - Heath, Andrew C A1 - Martin, Nicholas G A1 - Auvinen, Juha A1 - Buckley, Brendan M A1 - de Craen, Anton J M A1 - Waldenberger, Melanie A1 - Strauch, Konstantin A1 - Meitinger, Thomas A1 - Scott, Rodney J A1 - McEvoy, Mark A1 - Beekman, Marian A1 - Bombieri, Cristina A1 - Ridker, Paul M A1 - Mohlke, Karen L A1 - Pedersen, Nancy L A1 - Morrison, Alanna C A1 - Boomsma, Dorret I A1 - Whitfield, John B A1 - Strachan, David P A1 - Hofman, Albert A1 - Vollenweider, Peter A1 - Cucca, Francesco A1 - Jarvelin, Marjo-Riitta A1 - Jukema, J Wouter A1 - Spector, Tim D A1 - Hamsten, Anders A1 - Zeller, Tanja A1 - Uitterlinden, André G A1 - Nauck, Matthias A1 - Gudnason, Vilmundur A1 - Qi, Lu A1 - Grallert, Harald A1 - Borecki, Ingrid B A1 - Rotter, Jerome I A1 - März, Winfried A1 - Wild, Philipp S A1 - Lokki, Marja-Liisa A1 - Boyle, Michael A1 - Salomaa, Veikko A1 - Melbye, Mads A1 - Eriksson, Johan G A1 - Wilson, James F A1 - Penninx, Brenda W J H A1 - Becker, Diane M A1 - Worrall, Bradford B A1 - Gibson, Greg A1 - Krauss, Ronald M A1 - Ciullo, Marina A1 - Zaza, Gianluigi A1 - Wareham, Nicholas J A1 - Oldehinkel, Albertine J A1 - Palmer, Lyle J A1 - Murray, Sarah S A1 - Pramstaller, Peter P A1 - Bandinelli, Stefania A1 - Heinrich, Joachim A1 - Ingelsson, Erik A1 - Deary, Ian J A1 - Mägi, Reedik A1 - Vandenput, Liesbeth A1 - van der Harst, Pim A1 - Desch, Karl C A1 - Kooner, Jaspal S A1 - Ohlsson, Claes A1 - Hayward, Caroline A1 - Lehtimäki, Terho A1 - Shuldiner, Alan R A1 - Arnett, Donna K A1 - Beilin, Lawrence J A1 - Robino, Antonietta A1 - Froguel, Philippe A1 - Pirastu, Mario A1 - Jess, Tine A1 - Koenig, Wolfgang A1 - Loos, Ruth J F A1 - Evans, Denis A A1 - Schmidt, Helena A1 - Smith, George Davey A1 - Slagboom, P Eline A1 - Eiriksdottir, Gudny A1 - Morris, Andrew P A1 - Psaty, Bruce M A1 - Tracy, Russell P A1 - Nolte, Ilja M A1 - Boerwinkle, Eric A1 - Visvikis-Siest, Sophie A1 - Reiner, Alex P A1 - Gross, Myron A1 - Bis, Joshua C A1 - Franke, Lude A1 - Franco, Oscar H A1 - Benjamin, Emelia J A1 - Chasman, Daniel I A1 - Dupuis, Josée A1 - Snieder, Harold A1 - Dehghan, Abbas A1 - Alizadeh, Behrooz Z AB -

C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 × 10). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.

VL - 103 IS - 5 ER - TY - JOUR T1 - Genome-Wide Association Trans-Ethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels. JF - Circulation Y1 - 2018 A1 - Sabater-Lleal, Maria A1 - Huffman, Jennifer E A1 - de Vries, Paul S A1 - Marten, Jonathan A1 - Mastrangelo, Michael A A1 - Song, Ci A1 - Pankratz, Nathan A1 - Ward-Caviness, Cavin K A1 - Yanek, Lisa R A1 - Trompet, Stella A1 - Delgado, Graciela E A1 - Guo, Xiuqing A1 - Bartz, Traci M A1 - Martinez-Perez, Angel A1 - Germain, Marine A1 - de Haan, Hugoline G A1 - Ozel, Ayse B A1 - Polasek, Ozren A1 - Smith, Albert V A1 - Eicher, John D A1 - Reiner, Alex P A1 - Tang, Weihong A1 - Davies, Neil M A1 - Stott, David J A1 - Rotter, Jerome I A1 - Tofler, Geoffrey H A1 - Boerwinkle, Eric A1 - de Maat, Moniek P M A1 - Kleber, Marcus E A1 - Welsh, Paul A1 - Brody, Jennifer A A1 - Chen, Ming-Huei A1 - Vaidya, Dhananjay A1 - Soria, José Manuel A1 - Suchon, Pierre A1 - van Hylckama Vlieg, Astrid A1 - Desch, Karl C A1 - Kolcic, Ivana A1 - Joshi, Peter K A1 - Launer, Lenore J A1 - Harris, Tamara B A1 - Campbell, Harry A1 - Rudan, Igor A1 - Becker, Diane M A1 - Li, Jun Z A1 - Rivadeneira, Fernando A1 - Uitterlinden, André G A1 - Hofman, Albert A1 - Franco, Oscar H A1 - Cushman, Mary A1 - Psaty, Bruce M A1 - Morange, Pierre-Emmanuel A1 - McKnight, Barbara A1 - Chong, Michael R A1 - Fernandez-Cadenas, Israel A1 - Rosand, Jonathan A1 - Lindgren, Arne A1 - Gudnason, Vilmundur A1 - Wilson, James F A1 - Hayward, Caroline A1 - Ginsburg, David A1 - Fornage, Myriam A1 - Rosendaal, Frits R A1 - Souto, Juan Carlos A1 - Becker, Lewis C A1 - Jenny, Nancy S A1 - März, Winfried A1 - Jukema, J Wouter A1 - Dehghan, Abbas A1 - Trégouët, David-Alexandre A1 - Morrison, Alanna C A1 - Johnson, Andrew D A1 - O'Donnell, Christopher J A1 - Strachan, David P A1 - Lowenstein, Charles J A1 - Smith, Nicholas L AB -

BACKGROUND: Factor VIII (FVIII) and its carrier protein von Willebrand factor (VWF) are associated with risk of arterial and venous thrombosis and with hemorrhagic disorders. We aimed to identify and functionally test novel genetic associations regulating plasma FVIII and VWF.

METHODS: We meta-analyzed genome-wide association results from 46,354 individuals of European, African, East Asian, and Hispanic ancestry. All studies performed linear regression analysis using an additive genetic model and associated approximately 35 million imputed variants with natural-log transformed phenotype levels. In vitro gene silencing in cultured endothelial cells was performed for candidate genes to provide additional evidence on association and function. Two-sample Mendelian randomization (MR) analyses were applied to test the causal role of FVIII and VWF plasma levels on the risk of arterial and venous thrombotic events.

RESULTS: We identified 13 novel genome-wide significant (p≤2.5x10) associations; 7 with FVIII levels ( FCHO2/TMEM171/TNPO1, HLA, SOX17/RP1, LINC00583/NFIB, RAB5C-KAT2A, RPL3/TAB1/SYNGR1, and ARSA) and 11 with VWF levels ( PDHB/PXK/KCTD6, SLC39A8, FCHO2/TMEM171/TNPO1, HLA, GIMAP7/GIMAP4, OR13C5/NIPSNAP, DAB2IP, C2CD4B, RAB5C-KAT2A, TAB1/SYNGR1, and ARSA), beyond 10 previously reported associations with these phenotypes. Functional validation provided further evidence of association for all loci on VWF except ARSA and DAB2IP. MR suggested causal effects of plasma FVIII activity levels on venous thrombosis and coronary artery disease risk and plasma VWF levels on ischemic stroke risk.

CONCLUSIONS: The meta-analysis identified 13 novel genetic loci regulating FVIII and VWF plasma levels, 10 of which we validated functionally. We provide some evidence for a causal role of these proteins in thrombotic events.

ER - TY - JOUR T1 - A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. JF - Am J Hum Genet Y1 - 2018 A1 - Sung, Yun J A1 - Winkler, Thomas W A1 - de Las Fuentes, Lisa A1 - Bentley, Amy R A1 - Brown, Michael R A1 - Kraja, Aldi T A1 - Schwander, Karen A1 - Ntalla, Ioanna A1 - Guo, Xiuqing A1 - Franceschini, Nora A1 - Lu, Yingchang A1 - Cheng, Ching-Yu A1 - Sim, Xueling A1 - Vojinovic, Dina A1 - Marten, Jonathan A1 - Musani, Solomon K A1 - Li, Changwei A1 - Feitosa, Mary F A1 - Kilpeläinen, Tuomas O A1 - Richard, Melissa A A1 - Noordam, Raymond A1 - Aslibekyan, Stella A1 - Aschard, Hugues A1 - Bartz, Traci M A1 - Dorajoo, Rajkumar A1 - Liu, Yongmei A1 - Manning, Alisa K A1 - Rankinen, Tuomo A1 - Smith, Albert Vernon A1 - Tajuddin, Salman M A1 - Tayo, Bamidele O A1 - Warren, Helen R A1 - Zhao, Wei A1 - Zhou, Yanhua A1 - Matoba, Nana A1 - Sofer, Tamar A1 - Alver, Maris A1 - Amini, Marzyeh A1 - Boissel, Mathilde A1 - Chai, Jin Fang A1 - Chen, Xu A1 - Divers, Jasmin A1 - Gandin, Ilaria A1 - Gao, Chuan A1 - Giulianini, Franco A1 - Goel, Anuj A1 - Harris, Sarah E A1 - Hartwig, Fernando Pires A1 - Horimoto, Andrea R V R A1 - Hsu, Fang-Chi A1 - Jackson, Anne U A1 - Kähönen, Mika A1 - Kasturiratne, Anuradhani A1 - Kuhnel, Brigitte A1 - Leander, Karin A1 - Lee, Wen-Jane A1 - Lin, Keng-Hung A1 - 'an Luan, Jian A1 - McKenzie, Colin A A1 - Meian, He A1 - Nelson, Christopher P A1 - Rauramaa, Rainer A1 - Schupf, Nicole A1 - Scott, Robert A A1 - Sheu, Wayne H H A1 - Stančáková, Alena A1 - Takeuchi, Fumihiko A1 - van der Most, Peter J A1 - Varga, Tibor V A1 - Wang, Heming A1 - Wang, Yajuan A1 - Ware, Erin B A1 - Weiss, Stefan A1 - Wen, Wanqing A1 - Yanek, Lisa R A1 - Zhang, Weihua A1 - Zhao, Jing Hua A1 - Afaq, Saima A1 - Alfred, Tamuno A1 - Amin, Najaf A1 - Arking, Dan A1 - Aung, Tin A1 - Barr, R Graham A1 - Bielak, Lawrence F A1 - Boerwinkle, Eric A1 - Bottinger, Erwin P A1 - Braund, Peter S A1 - Brody, Jennifer A A1 - Broeckel, Ulrich A1 - Cabrera, Claudia P A1 - Cade, Brian A1 - Caizheng, Yu A1 - Campbell, Archie A1 - Canouil, Mickaël A1 - Chakravarti, Aravinda A1 - Chauhan, Ganesh A1 - Christensen, Kaare A1 - Cocca, Massimiliano A1 - Collins, Francis S A1 - Connell, John M A1 - de Mutsert, Renée A1 - de Silva, H Janaka A1 - Debette, Stephanie A1 - Dörr, Marcus A1 - Duan, Qing A1 - Eaton, Charles B A1 - Ehret, Georg A1 - Evangelou, Evangelos A1 - Faul, Jessica D A1 - Fisher, Virginia A A1 - Forouhi, Nita G A1 - Franco, Oscar H A1 - Friedlander, Yechiel A1 - Gao, He A1 - Gigante, Bruna A1 - Graff, Misa A1 - Gu, C Charles A1 - Gu, Dongfeng A1 - Gupta, Preeti A1 - Hagenaars, Saskia P A1 - Harris, Tamara B A1 - He, Jiang A1 - Heikkinen, Sami A1 - Heng, Chew-Kiat A1 - Hirata, Makoto A1 - Hofman, Albert A1 - Howard, Barbara V A1 - Hunt, Steven A1 - Irvin, Marguerite R A1 - Jia, Yucheng A1 - Joehanes, Roby A1 - Justice, Anne E A1 - Katsuya, Tomohiro A1 - Kaufman, Joel A1 - Kerrison, Nicola D A1 - Khor, Chiea Chuen A1 - Koh, Woon-Puay A1 - Koistinen, Heikki A A1 - Komulainen, Pirjo A1 - Kooperberg, Charles A1 - Krieger, Jose E A1 - Kubo, Michiaki A1 - Kuusisto, Johanna A1 - Langefeld, Carl D A1 - Langenberg, Claudia A1 - Launer, Lenore J A1 - Lehne, Benjamin A1 - Lewis, Cora E A1 - Li, Yize A1 - Lim, Sing Hui A1 - Lin, Shiow A1 - Liu, Ching-Ti A1 - Liu, Jianjun A1 - Liu, Jingmin A1 - Liu, Kiang A1 - Liu, Yeheng A1 - Loh, Marie A1 - Lohman, Kurt K A1 - Long, Jirong A1 - Louie, Tin A1 - Mägi, Reedik A1 - Mahajan, Anubha A1 - Meitinger, Thomas A1 - Metspalu, Andres A1 - Milani, Lili A1 - Momozawa, Yukihide A1 - Morris, Andrew P A1 - Mosley, Thomas H A1 - Munson, Peter A1 - Murray, Alison D A1 - Nalls, Mike A A1 - Nasri, Ubaydah A1 - Norris, Jill M A1 - North, Kari A1 - Ogunniyi, Adesola A1 - Padmanabhan, Sandosh A1 - Palmas, Walter R A1 - Palmer, Nicholette D A1 - Pankow, James S A1 - Pedersen, Nancy L A1 - Peters, Annette A1 - Peyser, Patricia A A1 - Polasek, Ozren A1 - Raitakari, Olli T A1 - Renstrom, Frida A1 - Rice, Treva K A1 - Ridker, Paul M A1 - Robino, Antonietta A1 - Robinson, Jennifer G A1 - Rose, Lynda M A1 - Rudan, Igor A1 - Sabanayagam, Charumathi A1 - Salako, Babatunde L A1 - Sandow, Kevin A1 - Schmidt, Carsten O A1 - Schreiner, Pamela J A1 - Scott, William R A1 - Seshadri, Sudha A1 - Sever, Peter A1 - Sitlani, Colleen M A1 - Smith, Jennifer A A1 - Snieder, Harold A1 - Starr, John M A1 - Strauch, Konstantin A1 - Tang, Hua A1 - Taylor, Kent D A1 - Teo, Yik Ying A1 - Tham, Yih Chung A1 - Uitterlinden, André G A1 - Waldenberger, Melanie A1 - Wang, Lihua A1 - Wang, Ya X A1 - Wei, Wen Bin A1 - Williams, Christine A1 - Wilson, Gregory A1 - Wojczynski, Mary K A1 - Yao, Jie A1 - Yuan, Jian-Min A1 - Zonderman, Alan B A1 - Becker, Diane M A1 - Boehnke, Michael A1 - Bowden, Donald W A1 - Chambers, John C A1 - Chen, Yii-Der Ida A1 - de Faire, Ulf A1 - Deary, Ian J A1 - Esko, Tõnu A1 - Farrall, Martin A1 - Forrester, Terrence A1 - Franks, Paul W A1 - Freedman, Barry I A1 - Froguel, Philippe A1 - Gasparini, Paolo A1 - Gieger, Christian A1 - Horta, Bernardo Lessa A1 - Hung, Yi-Jen A1 - Jonas, Jost B A1 - Kato, Norihiro A1 - Kooner, Jaspal S A1 - Laakso, Markku A1 - Lehtimäki, Terho A1 - Liang, Kae-Woei A1 - Magnusson, Patrik K E A1 - Newman, Anne B A1 - Oldehinkel, Albertine J A1 - Pereira, Alexandre C A1 - Redline, Susan A1 - Rettig, Rainer A1 - Samani, Nilesh J A1 - Scott, James A1 - Shu, Xiao-Ou A1 - van der Harst, Pim A1 - Wagenknecht, Lynne E A1 - Wareham, Nicholas J A1 - Watkins, Hugh A1 - Weir, David R A1 - Wickremasinghe, Ananda R A1 - Wu, Tangchun A1 - Zheng, Wei A1 - Kamatani, Yoichiro A1 - Laurie, Cathy C A1 - Bouchard, Claude A1 - Cooper, Richard S A1 - Evans, Michele K A1 - Gudnason, Vilmundur A1 - Kardia, Sharon L R A1 - Kritchevsky, Stephen B A1 - Levy, Daniel A1 - O'Connell, Jeff R A1 - Psaty, Bruce M A1 - van Dam, Rob M A1 - Sims, Mario A1 - Arnett, Donna K A1 - Mook-Kanamori, Dennis O A1 - Kelly, Tanika N A1 - Fox, Ervin R A1 - Hayward, Caroline A1 - Fornage, Myriam A1 - Rotimi, Charles N A1 - Province, Michael A A1 - van Duijn, Cornelia M A1 - Tai, E Shyong A1 - Wong, Tien Yin A1 - Loos, Ruth J F A1 - Reiner, Alex P A1 - Rotter, Jerome I A1 - Zhu, Xiaofeng A1 - Bierut, Laura J A1 - Gauderman, W James A1 - Caulfield, Mark J A1 - Elliott, Paul A1 - Rice, Kenneth A1 - Munroe, Patricia B A1 - Morrison, Alanna C A1 - Cupples, L Adrienne A1 - Rao, Dabeeru C A1 - Chasman, Daniel I AB -

Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined ∼18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 × 10) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 × 10). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).

VL - 102 IS - 3 ER - TY - JOUR T1 - A genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology. JF - Blood Y1 - 2019 A1 - de Vries, Paul S A1 - Sabater-Lleal, Maria A1 - Huffman, Jennifer E A1 - Marten, Jonathan A1 - Song, Ci A1 - Pankratz, Nathan A1 - Bartz, Traci M A1 - de Haan, Hugoline G A1 - Delgado, Graciela E A1 - Eicher, John D A1 - Martinez-Perez, Angel A1 - Ward-Caviness, Cavin K A1 - Brody, Jennifer A A1 - Chen, Ming-Huei A1 - de Maat, Moniek P M A1 - Frånberg, Mattias A1 - Gill, Dipender A1 - Kleber, Marcus E A1 - Rivadeneira, Fernando A1 - Soria, José Manuel A1 - Tang, Weihong A1 - Tofler, Geoffrey H A1 - Uitterlinden, André G A1 - van Hylckama Vlieg, Astrid A1 - Seshadri, Sudha A1 - Boerwinkle, Eric A1 - Davies, Neil M A1 - Giese, Anne-Katrin A1 - Ikram, M Kamran A1 - Kittner, Steven J A1 - McKnight, Barbara A1 - Psaty, Bruce M A1 - Reiner, Alex P A1 - Sargurupremraj, Muralidharan A1 - Taylor, Kent D A1 - Fornage, Myriam A1 - Hamsten, Anders A1 - März, Winfried A1 - Rosendaal, Frits R A1 - Souto, Juan Carlos A1 - Dehghan, Abbas A1 - Johnson, Andrew D A1 - Morrison, Alanna C A1 - O'Donnell, Christopher J A1 - Smith, Nicholas L AB -

Factor VII (FVII) is an important component of the coagulation cascade. Few genetic loci regulating FVII activity and/or levels have been discovered to date. We conducted a meta-analysis of 9 genome-wide association studies of plasma FVII levels (7 FVII activity and 2 FVII antigen) among 27 495 participants of European and African ancestry. Each study performed ancestry-specific association analyses. Inverse variance weighted meta-analysis was performed within each ancestry group and then combined for a -ancestry meta-analysis. Our primary analysis included the 7 studies that measured FVII activity, and a secondary analysis included all 9 studies. We provided functional genomic validation for newly identified significant loci by silencing candidate genes in a human liver cell line (HuH7) using small-interfering RNA and then measuring messenger RNA and FVII protein expression. Lastly, we used meta-analysis results to perform Mendelian randomization analysis to estimate the causal effect of FVII activity on coronary artery disease, ischemic stroke (IS), and venous thromboembolism. We identified 2 novel ( and ) and 6 known loci associated with FVII activity, explaining 19.0% of the phenotypic variance. Adding FVII antigen data to the meta-analysis did not result in the discovery of further loci. Silencing in HuH7 cells upregulated FVII, whereas silencing downregulated FVII. Mendelian randomization analyses suggest that FVII activity has a positive causal effect on the risk of IS. Variants at and contribute to FVII activity by regulating expression levels. FVII activity appears to contribute to the etiology of IS in the general population.

VL - 133 IS - 9 ER - TY - JOUR T1 - Multi-Ancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions. JF - Am J Epidemiol Y1 - 2019 A1 - de Vries, Paul S A1 - Brown, Michael R A1 - Bentley, Amy R A1 - Sung, Yun J A1 - Winkler, Thomas W A1 - Ntalla, Ioanna A1 - Schwander, Karen A1 - Kraja, Aldi T A1 - Guo, Xiuqing A1 - Franceschini, Nora A1 - Cheng, Ching-Yu A1 - Sim, Xueling A1 - Vojinovic, Dina A1 - Huffman, Jennifer E A1 - Musani, Solomon K A1 - Li, Changwei A1 - Feitosa, Mary F A1 - Richard, Melissa A A1 - Noordam, Raymond A1 - Aschard, Hugues A1 - Bartz, Traci M A1 - Bielak, Lawrence F A1 - Deng, Xuan A1 - Dorajoo, Rajkumar A1 - Lohman, Kurt K A1 - Manning, Alisa K A1 - Rankinen, Tuomo A1 - Smith, Albert V A1 - Tajuddin, Salman M A1 - Evangelou, Evangelos A1 - Graff, Mariaelisa A1 - Alver, Maris A1 - Boissel, Mathilde A1 - Chai, Jin Fang A1 - Chen, Xu A1 - Divers, Jasmin A1 - Gandin, Ilaria A1 - Gao, Chuan A1 - Goel, Anuj A1 - Hagemeijer, Yanick A1 - Harris, Sarah E A1 - Hartwig, Fernando P A1 - He, Meian A1 - Horimoto, Andrea R V R A1 - Hsu, Fang-Chi A1 - Jackson, Anne U A1 - Kasturiratne, Anuradhani A1 - Komulainen, Pirjo A1 - Kuhnel, Brigitte A1 - Laguzzi, Federica A1 - Lee, Joseph H A1 - Luan, Jian'an A1 - Lyytikäinen, Leo-Pekka A1 - Matoba, Nana A1 - Nolte, Ilja M A1 - Pietzner, Maik A1 - Riaz, Muhammad A1 - Said, M Abdullah A1 - Scott, Robert A A1 - Sofer, Tamar A1 - Stančáková, Alena A1 - Takeuchi, Fumihiko A1 - Tayo, Bamidele O A1 - van der Most, Peter J A1 - Varga, Tibor V A1 - Wang, Yajuan A1 - Ware, Erin B A1 - Wen, Wanqing A1 - Yanek, Lisa R A1 - Zhang, Weihua A1 - Zhao, Jing Hua A1 - Afaq, Saima A1 - Amin, Najaf A1 - Amini, Marzyeh A1 - Arking, Dan E A1 - Aung, Tin A1 - Ballantyne, Christie A1 - Boerwinkle, Eric A1 - Broeckel, Ulrich A1 - Campbell, Archie A1 - Canouil, Mickaël A1 - Charumathi, Sabanayagam A1 - Chen, Yii-Der Ida A1 - Connell, John M A1 - de Faire, Ulf A1 - de Las Fuentes, Lisa A1 - de Mutsert, Renée A1 - de Silva, H Janaka A1 - Ding, Jingzhong A1 - Dominiczak, Anna F A1 - Duan, Qing A1 - Eaton, Charles B A1 - Eppinga, Ruben N A1 - Faul, Jessica D A1 - Fisher, Virginia A1 - Forrester, Terrence A1 - Franco, Oscar H A1 - Friedlander, Yechiel A1 - Ghanbari, Mohsen A1 - Giulianini, Franco A1 - Grabe, Hans J A1 - Grove, Megan L A1 - Gu, C Charles A1 - Harris, Tamara B A1 - Heikkinen, Sami A1 - Heng, Chew-Kiat A1 - Hirata, Makoto A1 - Hixson, James E A1 - Howard, Barbara V A1 - Ikram, M Arfan A1 - Jacobs, David R A1 - Johnson, Craig A1 - Jonas, Jost Bruno A1 - Kammerer, Candace M A1 - Katsuya, Tomohiro A1 - Khor, Chiea Chuen A1 - Kilpeläinen, Tuomas O A1 - Koh, Woon-Puay A1 - Koistinen, Heikki A A1 - Kolcic, Ivana A1 - Kooperberg, Charles A1 - Krieger, Jose E A1 - Kritchevsky, Steve B A1 - Kubo, Michiaki A1 - Kuusisto, Johanna A1 - Lakka, Timo A A1 - Langefeld, Carl D A1 - Langenberg, Claudia A1 - Launer, Lenore J A1 - Lehne, Benjamin A1 - Lemaitre, Rozenn N A1 - Li, Yize A1 - Liang, Jingjing A1 - Liu, Jianjun A1 - Liu, Kiang A1 - Loh, Marie A1 - Louie, Tin A1 - Mägi, Reedik A1 - Manichaikul, Ani W A1 - McKenzie, Colin A A1 - Meitinger, Thomas A1 - Metspalu, Andres A1 - Milaneschi, Yuri A1 - Milani, Lili A1 - Mohlke, Karen L A1 - Mosley, Thomas H A1 - Mukamal, Kenneth J A1 - Nalls, Mike A A1 - Nauck, Matthias A1 - Nelson, Christopher P A1 - Sotoodehnia, Nona A1 - O'Connell, Jeff R A1 - Palmer, Nicholette D A1 - Pazoki, Raha A1 - Pedersen, Nancy L A1 - Peters, Annette A1 - Peyser, Patricia A A1 - Polasek, Ozren A1 - Poulter, Neil A1 - Raffel, Leslie J A1 - Raitakari, Olli T A1 - Reiner, Alex P A1 - Rice, Treva K A1 - Rich, Stephen S A1 - Robino, Antonietta A1 - Robinson, Jennifer G A1 - Rose, Lynda M A1 - Rudan, Igor A1 - Schmidt, Carsten O A1 - Schreiner, Pamela J A1 - Scott, William R A1 - Sever, Peter A1 - Shi, Yuan A1 - Sidney, Stephen A1 - Sims, Mario A1 - Smith, Blair H A1 - Smith, Jennifer A A1 - Snieder, Harold A1 - Starr, John M A1 - Strauch, Konstantin A1 - Tan, Nicholas A1 - Taylor, Kent D A1 - Teo, Yik Ying A1 - Tham, Yih Chung A1 - Uitterlinden, André G A1 - van Heemst, Diana A1 - Vuckovic, Dragana A1 - Waldenberger, Melanie A1 - Wang, Lihua A1 - Wang, Yujie A1 - Wang, Zhe A1 - Wei, Wen Bin A1 - Williams, Christine A1 - Wilson, Gregory A1 - Wojczynski, Mary K A1 - Yao, Jie A1 - Yu, Bing A1 - Yu, Caizheng A1 - Yuan, Jian-Min A1 - Zhao, Wei A1 - Zonderman, Alan B A1 - Becker, Diane M A1 - Boehnke, Michael A1 - Bowden, Donald W A1 - Chambers, John C A1 - Deary, Ian J A1 - Esko, Tõnu A1 - Farrall, Martin A1 - Franks, Paul W A1 - Freedman, Barry I A1 - Froguel, Philippe A1 - Gasparini, Paolo A1 - Gieger, Christian A1 - Horta, Bernardo L A1 - Kamatani, Yoichiro A1 - Kato, Norihiro A1 - Kooner, Jaspal S A1 - Laakso, Markku A1 - Leander, Karin A1 - Lehtimäki, Terho A1 - Magnusson, Patrik K E A1 - Penninx, Brenda A1 - Pereira, Alexandre C A1 - Rauramaa, Rainer A1 - Samani, Nilesh J A1 - Scott, James A1 - Shu, Xiao-Ou A1 - van der Harst, Pim A1 - Wagenknecht, Lynne E A1 - Wang, Ya Xing A1 - Wareham, Nicholas J A1 - Watkins, Hugh A1 - Weir, David R A1 - Wickremasinghe, Ananda R A1 - Zheng, Wei A1 - Elliott, Paul A1 - North, Kari E A1 - Bouchard, Claude A1 - Evans, Michele K A1 - Gudnason, Vilmundur A1 - Liu, Ching-Ti A1 - Liu, Yongmei A1 - Psaty, Bruce M A1 - Ridker, Paul M A1 - van Dam, Rob M A1 - Kardia, Sharon L R A1 - Zhu, Xiaofeng A1 - Rotimi, Charles N A1 - Mook-Kanamori, Dennis O A1 - Fornage, Myriam A1 - Kelly, Tanika N A1 - Fox, Ervin R A1 - Hayward, Caroline A1 - van Duijn, Cornelia M A1 - Tai, E Shyong A1 - Wong, Tien Yin A1 - Liu, Jingmin A1 - Rotter, Jerome I A1 - Gauderman, W James A1 - Province, Michael A A1 - Munroe, Patricia B A1 - Rice, Kenneth A1 - Chasman, Daniel I A1 - Cupples, L Adrienne A1 - Rao, Dabeeru C A1 - Morrison, Alanna C AB -

An individual's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multi-ancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in Stage 1 (genome-wide discovery) and 66 studies in Stage 2 (focused follow-up), for a total of 394,584 individuals from five ancestry groups. Genetic main and interaction effects were jointly assessed by a 2 degrees of freedom (DF) test, and a 1 DF test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10-6) with lipid levels in Stage 1 and were evaluated in Stage 2, followed by combined analyses of Stage 1 and Stage 2. In the combined analysis of Stage 1 and Stage 2, 147 independent loci were associated with lipid levels at P < 5 × 10-8 using 2 DF tests, of which 18 were novel. No genome-wide significant associations were found testing the interaction effect alone. The novel loci included several genes (PCSK5, VEGFB, and A1CF) with a putative role in lipid metabolism based on existing evidence from cellular and experimental models.

ER - TY - JOUR T1 - Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. JF - Nat Genet Y1 - 2019 A1 - Bentley, Amy R A1 - Sung, Yun J A1 - Brown, Michael R A1 - Winkler, Thomas W A1 - Kraja, Aldi T A1 - Ntalla, Ioanna A1 - Schwander, Karen A1 - Chasman, Daniel I A1 - Lim, Elise A1 - Deng, Xuan A1 - Guo, Xiuqing A1 - Liu, Jingmin A1 - Lu, Yingchang A1 - Cheng, Ching-Yu A1 - Sim, Xueling A1 - Vojinovic, Dina A1 - Huffman, Jennifer E A1 - Musani, Solomon K A1 - Li, Changwei A1 - Feitosa, Mary F A1 - Richard, Melissa A A1 - Noordam, Raymond A1 - Baker, Jenna A1 - Chen, Guanjie A1 - Aschard, Hugues A1 - Bartz, Traci M A1 - Ding, Jingzhong A1 - Dorajoo, Rajkumar A1 - Manning, Alisa K A1 - Rankinen, Tuomo A1 - Smith, Albert V A1 - Tajuddin, Salman M A1 - Zhao, Wei A1 - Graff, Mariaelisa A1 - Alver, Maris A1 - Boissel, Mathilde A1 - Chai, Jin Fang A1 - Chen, Xu A1 - Divers, Jasmin A1 - Evangelou, Evangelos A1 - Gao, Chuan A1 - Goel, Anuj A1 - Hagemeijer, Yanick A1 - Harris, Sarah E A1 - Hartwig, Fernando P A1 - He, Meian A1 - Horimoto, Andrea R V R A1 - Hsu, Fang-Chi A1 - Hung, Yi-Jen A1 - Jackson, Anne U A1 - Kasturiratne, Anuradhani A1 - Komulainen, Pirjo A1 - Kuhnel, Brigitte A1 - Leander, Karin A1 - Lin, Keng-Hung A1 - Luan, Jian'an A1 - Lyytikäinen, Leo-Pekka A1 - Matoba, Nana A1 - Nolte, Ilja M A1 - Pietzner, Maik A1 - Prins, Bram A1 - Riaz, Muhammad A1 - Robino, Antonietta A1 - Said, M Abdullah A1 - Schupf, Nicole A1 - Scott, Robert A A1 - Sofer, Tamar A1 - Stančáková, Alena A1 - Takeuchi, Fumihiko A1 - Tayo, Bamidele O A1 - van der Most, Peter J A1 - Varga, Tibor V A1 - Wang, Tzung-Dau A1 - Wang, Yajuan A1 - Ware, Erin B A1 - Wen, Wanqing A1 - Xiang, Yong-Bing A1 - Yanek, Lisa R A1 - Zhang, Weihua A1 - Zhao, Jing Hua A1 - Adeyemo, Adebowale A1 - Afaq, Saima A1 - Amin, Najaf A1 - Amini, Marzyeh A1 - Arking, Dan E A1 - Arzumanyan, Zorayr A1 - Aung, Tin A1 - Ballantyne, Christie A1 - Barr, R Graham A1 - Bielak, Lawrence F A1 - Boerwinkle, Eric A1 - Bottinger, Erwin P A1 - Broeckel, Ulrich A1 - Brown, Morris A1 - Cade, Brian E A1 - Campbell, Archie A1 - Canouil, Mickaël A1 - Charumathi, Sabanayagam A1 - Chen, Yii-Der Ida A1 - Christensen, Kaare A1 - Concas, Maria Pina A1 - Connell, John M A1 - de Las Fuentes, Lisa A1 - de Silva, H Janaka A1 - de Vries, Paul S A1 - Doumatey, Ayo A1 - Duan, Qing A1 - Eaton, Charles B A1 - Eppinga, Ruben N A1 - Faul, Jessica D A1 - Floyd, James S A1 - Forouhi, Nita G A1 - Forrester, Terrence A1 - Friedlander, Yechiel A1 - Gandin, Ilaria A1 - Gao, He A1 - Ghanbari, Mohsen A1 - Gharib, Sina A A1 - Gigante, Bruna A1 - Giulianini, Franco A1 - Grabe, Hans J A1 - Gu, C Charles A1 - Harris, Tamara B A1 - Heikkinen, Sami A1 - Heng, Chew-Kiat A1 - Hirata, Makoto A1 - Hixson, James E A1 - Ikram, M Arfan A1 - Jia, Yucheng A1 - Joehanes, Roby A1 - Johnson, Craig A1 - Jonas, Jost Bruno A1 - Justice, Anne E A1 - Katsuya, Tomohiro A1 - Khor, Chiea Chuen A1 - Kilpeläinen, Tuomas O A1 - Koh, Woon-Puay A1 - Kolcic, Ivana A1 - Kooperberg, Charles A1 - Krieger, Jose E A1 - Kritchevsky, Stephen B A1 - Kubo, Michiaki A1 - Kuusisto, Johanna A1 - Lakka, Timo A A1 - Langefeld, Carl D A1 - Langenberg, Claudia A1 - Launer, Lenore J A1 - Lehne, Benjamin A1 - Lewis, Cora E A1 - Li, Yize A1 - Liang, Jingjing A1 - Lin, Shiow A1 - Liu, Ching-Ti A1 - Liu, Jianjun A1 - Liu, Kiang A1 - Loh, Marie A1 - Lohman, Kurt K A1 - Louie, Tin A1 - Luzzi, Anna A1 - Mägi, Reedik A1 - Mahajan, Anubha A1 - Manichaikul, Ani W A1 - McKenzie, Colin A A1 - Meitinger, Thomas A1 - Metspalu, Andres A1 - Milaneschi, Yuri A1 - Milani, Lili A1 - Mohlke, Karen L A1 - Momozawa, Yukihide A1 - Morris, Andrew P A1 - Murray, Alison D A1 - Nalls, Mike A A1 - Nauck, Matthias A1 - Nelson, Christopher P A1 - North, Kari E A1 - O'Connell, Jeffrey R A1 - Palmer, Nicholette D A1 - Papanicolau, George J A1 - Pedersen, Nancy L A1 - Peters, Annette A1 - Peyser, Patricia A A1 - Polasek, Ozren A1 - Poulter, Neil A1 - Raitakari, Olli T A1 - Reiner, Alex P A1 - Renstrom, Frida A1 - Rice, Treva K A1 - Rich, Stephen S A1 - Robinson, Jennifer G A1 - Rose, Lynda M A1 - Rosendaal, Frits R A1 - Rudan, Igor A1 - Schmidt, Carsten O A1 - Schreiner, Pamela J A1 - Scott, William R A1 - Sever, Peter A1 - Shi, Yuan A1 - Sidney, Stephen A1 - Sims, Mario A1 - Smith, Jennifer A A1 - Snieder, Harold A1 - Starr, John M A1 - Strauch, Konstantin A1 - Stringham, Heather M A1 - Tan, Nicholas Y Q A1 - Tang, Hua A1 - Taylor, Kent D A1 - Teo, Yik Ying A1 - Tham, Yih Chung A1 - Tiemeier, Henning A1 - Turner, Stephen T A1 - Uitterlinden, André G A1 - van Heemst, Diana A1 - Waldenberger, Melanie A1 - Wang, Heming A1 - Wang, Lan A1 - Wang, Lihua A1 - Wei, Wen Bin A1 - Williams, Christine A A1 - Wilson, Gregory A1 - Wojczynski, Mary K A1 - Yao, Jie A1 - Young, Kristin A1 - Yu, Caizheng A1 - Yuan, Jian-Min A1 - Zhou, Jie A1 - Zonderman, Alan B A1 - Becker, Diane M A1 - Boehnke, Michael A1 - Bowden, Donald W A1 - Chambers, John C A1 - Cooper, Richard S A1 - de Faire, Ulf A1 - Deary, Ian J A1 - Elliott, Paul A1 - Esko, Tõnu A1 - Farrall, Martin A1 - Franks, Paul W A1 - Freedman, Barry I A1 - Froguel, Philippe A1 - Gasparini, Paolo A1 - Gieger, Christian A1 - Horta, Bernardo L A1 - Juang, Jyh-Ming Jimmy A1 - Kamatani, Yoichiro A1 - Kammerer, Candace M A1 - Kato, Norihiro A1 - Kooner, Jaspal S A1 - Laakso, Markku A1 - Laurie, Cathy C A1 - Lee, I-Te A1 - Lehtimäki, Terho A1 - Magnusson, Patrik K E A1 - Oldehinkel, Albertine J A1 - Penninx, Brenda W J H A1 - Pereira, Alexandre C A1 - Rauramaa, Rainer A1 - Redline, Susan A1 - Samani, Nilesh J A1 - Scott, James A1 - Shu, Xiao-Ou A1 - van der Harst, Pim A1 - Wagenknecht, Lynne E A1 - Wang, Jun-Sing A1 - Wang, Ya Xing A1 - Wareham, Nicholas J A1 - Watkins, Hugh A1 - Weir, David R A1 - Wickremasinghe, Ananda R A1 - Wu, Tangchun A1 - Zeggini, Eleftheria A1 - Zheng, Wei A1 - Bouchard, Claude A1 - Evans, Michele K A1 - Gudnason, Vilmundur A1 - Kardia, Sharon L R A1 - Liu, Yongmei A1 - Psaty, Bruce M A1 - Ridker, Paul M A1 - van Dam, Rob M A1 - Mook-Kanamori, Dennis O A1 - Fornage, Myriam A1 - Province, Michael A A1 - Kelly, Tanika N A1 - Fox, Ervin R A1 - Hayward, Caroline A1 - van Duijn, Cornelia M A1 - Tai, E Shyong A1 - Wong, Tien Yin A1 - Loos, Ruth J F A1 - Franceschini, Nora A1 - Rotter, Jerome I A1 - Zhu, Xiaofeng A1 - Bierut, Laura J A1 - Gauderman, W James A1 - Rice, Kenneth A1 - Munroe, Patricia B A1 - Morrison, Alanna C A1 - Rao, Dabeeru C A1 - Rotimi, Charles N A1 - Cupples, L Adrienne AB -

The concentrations of high- and low-density-lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene-smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 new loci associated with lipids, some of which were detected only because association differed by smoking status. Additionally, we demonstrate the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings.

VL - 51 IS - 4 ER - TY - JOUR T1 - Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration. JF - Nat Commun Y1 - 2019 A1 - Noordam, Raymond A1 - Bos, Maxime M A1 - Wang, Heming A1 - Winkler, Thomas W A1 - Bentley, Amy R A1 - Kilpeläinen, Tuomas O A1 - de Vries, Paul S A1 - Sung, Yun Ju A1 - Schwander, Karen A1 - Cade, Brian E A1 - Manning, Alisa A1 - Aschard, Hugues A1 - Brown, Michael R A1 - Chen, Han A1 - Franceschini, Nora A1 - Musani, Solomon K A1 - Richard, Melissa A1 - Vojinovic, Dina A1 - Aslibekyan, Stella A1 - Bartz, Traci M A1 - de Las Fuentes, Lisa A1 - Feitosa, Mary A1 - Horimoto, Andrea R A1 - Ilkov, Marjan A1 - Kho, Minjung A1 - Kraja, Aldi A1 - Li, Changwei A1 - Lim, Elise A1 - Liu, Yongmei A1 - Mook-Kanamori, Dennis O A1 - Rankinen, Tuomo A1 - Tajuddin, Salman M A1 - van der Spek, Ashley A1 - Wang, Zhe A1 - Marten, Jonathan A1 - Laville, Vincent A1 - Alver, Maris A1 - Evangelou, Evangelos A1 - Graff, Maria E A1 - He, Meian A1 - Kuhnel, Brigitte A1 - Lyytikäinen, Leo-Pekka A1 - Marques-Vidal, Pedro A1 - Nolte, Ilja M A1 - Palmer, Nicholette D A1 - Rauramaa, Rainer A1 - Shu, Xiao-Ou A1 - Snieder, Harold A1 - Weiss, Stefan A1 - Wen, Wanqing A1 - Yanek, Lisa R A1 - Adolfo, Correa A1 - Ballantyne, Christie A1 - Bielak, Larry A1 - Biermasz, Nienke R A1 - Boerwinkle, Eric A1 - Dimou, Niki A1 - Eiriksdottir, Gudny A1 - Gao, Chuan A1 - Gharib, Sina A A1 - Gottlieb, Daniel J A1 - Haba-Rubio, José A1 - Harris, Tamara B A1 - Heikkinen, Sami A1 - Heinzer, Raphael A1 - Hixson, James E A1 - Homuth, Georg A1 - Ikram, M Arfan A1 - Komulainen, Pirjo A1 - Krieger, Jose E A1 - Lee, Jiwon A1 - Liu, Jingmin A1 - Lohman, Kurt K A1 - Luik, Annemarie I A1 - Mägi, Reedik A1 - Martin, Lisa W A1 - Meitinger, Thomas A1 - Metspalu, Andres A1 - Milaneschi, Yuri A1 - Nalls, Mike A A1 - O'Connell, Jeff A1 - Peters, Annette A1 - Peyser, Patricia A1 - Raitakari, Olli T A1 - Reiner, Alex P A1 - Rensen, Patrick C N A1 - Rice, Treva K A1 - Rich, Stephen S A1 - Roenneberg, Till A1 - Rotter, Jerome I A1 - Schreiner, Pamela J A1 - Shikany, James A1 - Sidney, Stephen S A1 - Sims, Mario A1 - Sitlani, Colleen M A1 - Sofer, Tamar A1 - Strauch, Konstantin A1 - Swertz, Morris A A1 - Taylor, Kent D A1 - Uitterlinden, André G A1 - van Duijn, Cornelia M A1 - Völzke, Henry A1 - Waldenberger, Melanie A1 - Wallance, Robert B A1 - van Dijk, Ko Willems A1 - Yu, Caizheng A1 - Zonderman, Alan B A1 - Becker, Diane M A1 - Elliott, Paul A1 - Esko, Tõnu A1 - Gieger, Christian A1 - Grabe, Hans J A1 - Lakka, Timo A A1 - Lehtimäki, Terho A1 - North, Kari E A1 - Penninx, Brenda W J H A1 - Vollenweider, Peter A1 - Wagenknecht, Lynne E A1 - Wu, Tangchun A1 - Xiang, Yong-Bing A1 - Zheng, Wei A1 - Arnett, Donna K A1 - Bouchard, Claude A1 - Evans, Michele K A1 - Gudnason, Vilmundur A1 - Kardia, Sharon A1 - Kelly, Tanika N A1 - Kritchevsky, Stephen B A1 - Loos, Ruth J F A1 - Pereira, Alexandre C A1 - Province, Mike A1 - Psaty, Bruce M A1 - Rotimi, Charles A1 - Zhu, Xiaofeng A1 - Amin, Najaf A1 - Cupples, L Adrienne A1 - Fornage, Myriam A1 - Fox, Ervin F A1 - Guo, Xiuqing A1 - Gauderman, W James A1 - Rice, Kenneth A1 - Kooperberg, Charles A1 - Munroe, Patricia B A1 - Liu, Ching-Ti A1 - Morrison, Alanna C A1 - Rao, Dabeeru C A1 - van Heemst, Diana A1 - Redline, Susan AB -

Both short and long sleep are associated with an adverse lipid profile, likely through different biological pathways. To elucidate the biology of sleep-associated adverse lipid profile, we conduct multi-ancestry genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c, LDL-c and triglycerides). In the total study sample (discovery + replication) of 126,926 individuals from 5 different ancestry groups, when considering either long or short total sleep time interactions in joint analyses, we identify 49 previously unreported lipid loci, and 10 additional previously unreported lipid loci in a restricted sample of European-ancestry cohorts. In addition, we identify new gene-sleep interactions for known lipid loci such as LPL and PCSK9. The previously unreported lipid loci have a modest explained variance in lipid levels: most notable, gene-short-sleep interactions explain 4.25% of the variance in triglyceride level. Collectively, these findings contribute to our understanding of the biological mechanisms involved in sleep-associated adverse lipid profiles.

VL - 10 IS - 1 ER - TY - JOUR T1 - Role of Rare and Low-Frequency Variants in Gene-Alcohol Interactions on Plasma Lipid Levels. JF - Circ Genom Precis Med Y1 - 2020 A1 - Wang, Zhe A1 - Chen, Han A1 - Bartz, Traci M A1 - Bielak, Lawrence F A1 - Chasman, Daniel I A1 - Feitosa, Mary F A1 - Franceschini, Nora A1 - Guo, Xiuqing A1 - Lim, Elise A1 - Noordam, Raymond A1 - Richard, Melissa A A1 - Wang, Heming A1 - Cade, Brian A1 - Cupples, L Adrienne A1 - de Vries, Paul S A1 - Giulanini, Franco A1 - Lee, Jiwon A1 - Lemaitre, Rozenn N A1 - Martin, Lisa W A1 - Reiner, Alex P A1 - Rich, Stephen S A1 - Schreiner, Pamela J A1 - Sidney, Stephen A1 - Sitlani, Colleen M A1 - Smith, Jennifer A A1 - Willems van Dijk, Ko A1 - Yao, Jie A1 - Zhao, Wei A1 - Fornage, Myriam A1 - Kardia, Sharon L R A1 - Kooperberg, Charles A1 - Liu, Ching-Ti A1 - Mook-Kanamori, Dennis O A1 - Province, Michael A A1 - Psaty, Bruce M A1 - Redline, Susan A1 - Ridker, Paul M A1 - Rotter, Jerome I A1 - Boerwinkle, Eric A1 - Morrison, Alanna C AB -

BACKGROUND: Alcohol intake influences plasma lipid levels, and such effects may be moderated by genetic variants. We aimed to characterize the role of aggregated rare and low-frequency protein-coding variants in gene by alcohol consumption interactions associated with fasting plasma lipid levels.

METHODS: In the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, fasting plasma triglycerides and high- and low-density lipoprotein cholesterol were measured in 34 153 individuals with European ancestry from 5 discovery studies and 32 277 individuals from 6 replication studies. Rare and low-frequency functional protein-coding variants (minor allele frequency, ≤5%) measured by an exome array were aggregated by genes and evaluated by a gene-environment interaction test and a joint test of genetic main and gene-environment interaction effects. Two dichotomous self-reported alcohol consumption variables, current drinker, defined as any recurrent drinking behavior, and regular drinker, defined as the subset of current drinkers who consume at least 2 drinks per week, were considered.

RESULTS: We discovered and replicated 21 gene-lipid associations at 13 known lipid loci through the joint test. Eight loci (, , , , , , , and ) remained significant after conditioning on the common index single-nucleotide polymorphism identified by previous genome-wide association studies, suggesting an independent role for rare and low-frequency variants at these loci. One significant gene-alcohol interaction on triglycerides in a novel locus was significantly discovered (=6.65×10 for the interaction test) and replicated at nominal significance level (=0.013) in .

CONCLUSIONS: In conclusion, this study applied new gene-based statistical approaches and suggested that rare and low-frequency genetic variants interacted with alcohol consumption on lipid levels.

VL - 13 IS - 4 ER - TY - JOUR T1 - Soluble CD14 and Risk of Heart Failure and Its Subtypes in Older Adults. JF - J Card Fail Y1 - 2020 A1 - Al-Kindi, Sadeer G A1 - Bůzková, Petra A1 - Shitole, Sanyog G A1 - Reiner, Alex P A1 - Garg, Parveen K A1 - Gottdiener, John S A1 - Psaty, Bruce M A1 - Kizer, Jorge R AB -

BACKGROUND: CD14 is a membrane glycoprotein primarily expressed by myeloid cells that plays a key role in inflammation. Soluble CD14 (sCD14) levels carry a poor prognosis in chronic heart failure (HF), but whether elevations in sCD14 precede HF is unknown. We tested the hypothesis that sCD14 is associated with HF incidence and its subtypes independent of major inflammatory biomarkers among older adults.

METHODS AND RESULTS: We included participants in the Cardiovascular Health Study without preexisting HF and available baseline sCD14. We evaluated the associations of sCD14, high-sensitivity C-reactive protein (hsCRP), interleukin (IL)-6, and white blood cell count (WBC) with incident HF and subtypes using Cox regression. Among 5217 participants, 1878 had incident HF over 13.6 years (609 classifiable as HF with preserved ejection fraction [HFpEF] and 419 as HF with reduced ejection fraction [HFrEF]). After adjusting for clinical and laboratory covariates, sCD14 was significantly associated with incident HF (hazard ratio [HR]: 1.56 per doubling, 95% confidence interval [CI]: 1.29-1.89), an association that was numerically stronger than for hsCRP (HR per doubling: 1.10, 95% CI: 1.06-1.15), IL-6 (HR: 1.18, 95% CI: 1.10-1.25), and WBC (HR: 1.24, 95% CI: 1.09-1.42), and that remained significant after adjustment for the other markers of inflammation. This association for sCD14 was observed with HFpEF (HR: 1.50, 95% CI: 1.07-2.10) but not HFrEF (HR: 0.99, 95% CI: 0.67-1.49).

CONCLUSIONS: Plasma sCD14 was associated with incident HF independently and numerically more strongly than other major inflammatory markers. This association was only observed with HFpEF in the subset with classifiable HF subtypes. Pending replication, these findings have potentially important therapeutic implications.

VL - 26 IS - 5 ER - TY - JOUR T1 - BinomiRare: A robust test for association of a rare genetic variant with a binary outcome for mixed models and any case-control proportion. JF - HGG Adv Y1 - 2021 A1 - Sofer, Tamar A1 - Lee, Jiwon A1 - Kurniansyah, Nuzulul A1 - Jain, Deepti A1 - Laurie, Cecelia A A1 - Gogarten, Stephanie M A1 - Conomos, Matthew P A1 - Heavner, Ben A1 - Hu, Yao A1 - Kooperberg, Charles A1 - Haessler, Jeffrey A1 - Vasan, Ramachandran S A1 - Cupples, L Adrienne A1 - Coombes, Brandon J A1 - Seyerle, Amanda A1 - Gharib, Sina A A1 - Chen, Han A1 - O'Connell, Jeffrey R A1 - Zhang, Man A1 - Gottlieb, Daniel J A1 - Psaty, Bruce M A1 - Longstreth, W T A1 - Rotter, Jerome I A1 - Taylor, Kent D A1 - Rich, Stephen S A1 - Guo, Xiuqing A1 - Boerwinkle, Eric A1 - Morrison, Alanna C A1 - Pankow, James S A1 - Johnson, Andrew D A1 - Pankratz, Nathan A1 - Reiner, Alex P A1 - Redline, Susan A1 - Smith, Nicholas L A1 - Rice, Kenneth M A1 - Schifano, Elizabeth D AB -

Whole-genome sequencing (WGS) and whole-exome sequencing studies have become increasingly available and are being used to identify rare genetic variants associated with health and disease outcomes. Investigators routinely use mixed models to account for genetic relatedness or other clustering variables (e.g., family or household) when testing genetic associations. However, no existing tests of the association of a rare variant with a binary outcome in the presence of correlated data control the type 1 error where there are (1) few individuals harboring the rare allele, (2) a small proportion of cases relative to controls, and (3) covariates to adjust for. Here, we address all three issues in developing a framework for testing rare variant association with a binary trait in individuals harboring at least one risk allele. In this framework, we estimate outcome probabilities under the null hypothesis and then use them, within the individuals with at least one risk allele, to test variant associations. We extend the BinomiRare test, which was previously proposed for independent observations, and develop the Conway-Maxwell-Poisson (CMP) test and study their properties in simulations. We show that the BinomiRare test always controls the type 1 error, while the CMP test sometimes does not. We then use the BinomiRare test to test the association of rare genetic variants in target genes with small-vessel disease (SVD) stroke, short sleep, and venous thromboembolism (VTE), in whole-genome sequence data from the Trans-Omics for Precision Medicine (TOPMed) program.

VL - 2 IS - 3 ER - TY - JOUR T1 - Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. JF - Am J Hum Genet Y1 - 2021 A1 - Graff, Mariaelisa A1 - Justice, Anne E A1 - Young, Kristin L A1 - Marouli, Eirini A1 - Zhang, Xinruo A1 - Fine, Rebecca S A1 - Lim, Elise A1 - Buchanan, Victoria A1 - Rand, Kristin A1 - Feitosa, Mary F A1 - Wojczynski, Mary K A1 - Yanek, Lisa R A1 - Shao, Yaming A1 - Rohde, Rebecca A1 - Adeyemo, Adebowale A A1 - Aldrich, Melinda C A1 - Allison, Matthew A A1 - Ambrosone, Christine B A1 - Ambs, Stefan A1 - Amos, Christopher A1 - Arnett, Donna K A1 - Atwood, Larry A1 - Bandera, Elisa V A1 - Bartz, Traci A1 - Becker, Diane M A1 - Berndt, Sonja I A1 - Bernstein, Leslie A1 - Bielak, Lawrence F A1 - Blot, William J A1 - Bottinger, Erwin P A1 - Bowden, Donald W A1 - Bradfield, Jonathan P A1 - Brody, Jennifer A A1 - Broeckel, Ulrich A1 - Burke, Gregory A1 - Cade, Brian E A1 - Cai, Qiuyin A1 - Caporaso, Neil A1 - Carlson, Chris A1 - Carpten, John A1 - Casey, Graham A1 - Chanock, Stephen J A1 - Chen, Guanjie A1 - Chen, Minhui A1 - Chen, Yii-der I A1 - Chen, Wei-Min A1 - Chesi, Alessandra A1 - Chiang, Charleston W K A1 - Chu, Lisa A1 - Coetzee, Gerry A A1 - Conti, David V A1 - Cooper, Richard S A1 - Cushman, Mary A1 - Demerath, Ellen A1 - Deming, Sandra L A1 - Dimitrov, Latchezar A1 - Ding, Jingzhong A1 - Diver, W Ryan A1 - Duan, Qing A1 - Evans, Michele K A1 - Falusi, Adeyinka G A1 - Faul, Jessica D A1 - Fornage, Myriam A1 - Fox, Caroline A1 - Freedman, Barry I A1 - Garcia, Melissa A1 - Gillanders, Elizabeth M A1 - Goodman, Phyllis A1 - Gottesman, Omri A1 - Grant, Struan F A A1 - Guo, Xiuqing A1 - Hakonarson, Hakon A1 - Haritunians, Talin A1 - Harris, Tamara B A1 - Harris, Curtis C A1 - Henderson, Brian E A1 - Hennis, Anselm A1 - Hernandez, Dena G A1 - Hirschhorn, Joel N A1 - McNeill, Lorna Haughton A1 - Howard, Timothy D A1 - Howard, Barbara A1 - Hsing, Ann W A1 - Hsu, Yu-Han H A1 - Hu, Jennifer J A1 - Huff, Chad D A1 - Huo, Dezheng A1 - Ingles, Sue A A1 - Irvin, Marguerite R A1 - John, Esther M A1 - Johnson, Karen C A1 - Jordan, Joanne M A1 - Kabagambe, Edmond K A1 - Kang, Sun J A1 - Kardia, Sharon L A1 - Keating, Brendan J A1 - Kittles, Rick A A1 - Klein, Eric A A1 - Kolb, Suzanne A1 - Kolonel, Laurence N A1 - Kooperberg, Charles A1 - Kuller, Lewis A1 - Kutlar, Abdullah A1 - Lange, Leslie A1 - Langefeld, Carl D A1 - Le Marchand, Loïc A1 - Leonard, Hampton A1 - Lettre, Guillaume A1 - Levin, Albert M A1 - Li, Yun A1 - Li, Jin A1 - Liu, Yongmei A1 - Liu, Youfang A1 - Liu, Simin A1 - Lohman, Kurt A1 - Lotay, Vaneet A1 - Lu, Yingchang A1 - Maixner, William A1 - Manson, JoAnn E A1 - McKnight, Barbara A1 - Meng, Yan A1 - Monda, Keri L A1 - Monroe, Kris A1 - Moore, Jason H A1 - Mosley, Thomas H A1 - Mudgal, Poorva A1 - Murphy, Adam B A1 - Nadukuru, Rajiv A1 - Nalls, Mike A A1 - Nathanson, Katherine L A1 - Nayak, Uma A1 - N'diaye, Amidou A1 - Nemesure, Barbara A1 - Neslund-Dudas, Christine A1 - Neuhouser, Marian L A1 - Nyante, Sarah A1 - Ochs-Balcom, Heather A1 - Ogundiran, Temidayo O A1 - Ogunniyi, Adesola A1 - Ojengbede, Oladosu A1 - Okut, Hayrettin A1 - Olopade, Olufunmilayo I A1 - Olshan, Andrew A1 - Padhukasahasram, Badri A1 - Palmer, Julie A1 - Palmer, Cameron D A1 - Palmer, Nicholette D A1 - Papanicolaou, George A1 - Patel, Sanjay R A1 - Pettaway, Curtis A A1 - Peyser, Patricia A A1 - Press, Michael F A1 - Rao, D C A1 - Rasmussen-Torvik, Laura J A1 - Redline, Susan A1 - Reiner, Alex P A1 - Rhie, Suhn K A1 - Rodriguez-Gil, Jorge L A1 - Rotimi, Charles N A1 - Rotter, Jerome I A1 - Ruiz-Narvaez, Edward A A1 - Rybicki, Benjamin A A1 - Salako, Babatunde A1 - Sale, Michèle M A1 - Sanderson, Maureen A1 - Schadt, Eric A1 - Schreiner, Pamela J A1 - Schurmann, Claudia A1 - Schwartz, Ann G A1 - Shriner, Daniel A A1 - Signorello, Lisa B A1 - Singleton, Andrew B A1 - Siscovick, David S A1 - Smith, Jennifer A A1 - Smith, Shad A1 - Speliotes, Elizabeth A1 - Spitz, Margaret A1 - Stanford, Janet L A1 - Stevens, Victoria L A1 - Stram, Alex A1 - Strom, Sara S A1 - Sucheston, Lara A1 - Sun, Yan V A1 - Tajuddin, Salman M A1 - Taylor, Herman A1 - Taylor, Kira A1 - Tayo, Bamidele O A1 - Thun, Michael J A1 - Tucker, Margaret A A1 - Vaidya, Dhananjay A1 - Van Den Berg, David J A1 - Vedantam, Sailaja A1 - Vitolins, Mara A1 - Wang, Zhaoming A1 - Ware, Erin B A1 - Wassertheil-Smoller, Sylvia A1 - Weir, David R A1 - Wiencke, John K A1 - Williams, Scott M A1 - Williams, L Keoki A1 - Wilson, James G A1 - Witte, John S A1 - Wrensch, Margaret A1 - Wu, Xifeng A1 - Yao, Jie A1 - Zakai, Neil A1 - Zanetti, Krista A1 - Zemel, Babette S A1 - Zhao, Wei A1 - Zhao, Jing Hua A1 - Zheng, Wei A1 - Zhi, Degui A1 - Zhou, Jie A1 - Zhu, Xiaofeng A1 - Ziegler, Regina G A1 - Zmuda, Joe A1 - Zonderman, Alan B A1 - Psaty, Bruce M A1 - Borecki, Ingrid B A1 - Cupples, L Adrienne A1 - Liu, Ching-Ti A1 - Haiman, Christopher A A1 - Loos, Ruth A1 - Ng, Maggie C Y A1 - North, Kari E AB -

Although many loci have been associated with height in European ancestry populations, very few have been identified in African ancestry individuals. Furthermore, many of the known loci have yet to be generalized to and fine-mapped within a large-scale African ancestry sample. We performed sex-combined and sex-stratified meta-analyses in up to 52,764 individuals with height and genome-wide genotyping data from the African Ancestry Anthropometry Genetics Consortium (AAAGC). We additionally combined our African ancestry meta-analysis results with published European genome-wide association study (GWAS) data. In the African ancestry analyses, we identified three novel loci (SLC4A3, NCOA2, ECD/FAM149B1) in sex-combined results and two loci (CRB1, KLF6) in women only. In the African plus European sex-combined GWAS, we identified an additional three novel loci (RCCD1, G6PC3, CEP95) which were equally driven by AAAGC and European results. Among 39 genome-wide significant signals at known loci, conditioning index SNPs from European studies identified 20 secondary signals. Two of the 20 new secondary signals and none of the 8 novel loci had minor allele frequencies (MAF) < 5%. Of 802 known European height signals, 643 displayed directionally consistent associations with height, of which 205 were nominally significant (p < 0.05) in the African ancestry sex-combined sample. Furthermore, 148 of 241 loci contained ≤20 variants in the credible sets that jointly account for 99% of the posterior probability of driving the associations. In summary, trans-ethnic meta-analyses revealed novel signals and further improved fine-mapping of putative causal variants in loci shared between African and European ancestry populations.

VL - 108 IS - 4 ER - TY - JOUR T1 - Epigenome-wide association study of serum urate reveals insights into urate co-regulation and the SLC2A9 locus. JF - Nat Commun Y1 - 2021 A1 - Tin, Adrienne A1 - Schlosser, Pascal A1 - Matias-Garcia, Pamela R A1 - Thio, Chris H L A1 - Joehanes, Roby A1 - Liu, Hongbo A1 - Yu, Zhi A1 - Weihs, Antoine A1 - Hoppmann, Anselm A1 - Grundner-Culemann, Franziska A1 - Min, Josine L A1 - Kuhns, Victoria L Halperin A1 - Adeyemo, Adebowale A A1 - Agyemang, Charles A1 - Arnlöv, Johan A1 - Aziz, Nasir A A1 - Baccarelli, Andrea A1 - Bochud, Murielle A1 - Brenner, Hermann A1 - Bressler, Jan A1 - Breteler, Monique M B A1 - Carmeli, Cristian A1 - Chaker, Layal A1 - Coresh, Josef A1 - Corre, Tanguy A1 - Correa, Adolfo A1 - Cox, Simon R A1 - Delgado, Graciela E A1 - Eckardt, Kai-Uwe A1 - Ekici, Arif B A1 - Endlich, Karlhans A1 - Floyd, James S A1 - Fraszczyk, Eliza A1 - Gao, Xu A1 - Gào, Xīn A1 - Gelber, Allan C A1 - Ghanbari, Mohsen A1 - Ghasemi, Sahar A1 - Gieger, Christian A1 - Greenland, Philip A1 - Grove, Megan L A1 - Harris, Sarah E A1 - Hemani, Gibran A1 - Henneman, Peter A1 - Herder, Christian A1 - Horvath, Steve A1 - Hou, Lifang A1 - Hurme, Mikko A A1 - Hwang, Shih-Jen A1 - Kardia, Sharon L R A1 - Kasela, Silva A1 - Kleber, Marcus E A1 - Koenig, Wolfgang A1 - Kooner, Jaspal S A1 - Kronenberg, Florian A1 - Kuhnel, Brigitte A1 - Ladd-Acosta, Christine A1 - Lehtimäki, Terho A1 - Lind, Lars A1 - Liu, Dan A1 - Lloyd-Jones, Donald M A1 - Lorkowski, Stefan A1 - Lu, Ake T A1 - Marioni, Riccardo E A1 - März, Winfried A1 - McCartney, Daniel L A1 - Meeks, Karlijn A C A1 - Milani, Lili A1 - Mishra, Pashupati P A1 - Nauck, Matthias A1 - Nowak, Christoph A1 - Peters, Annette A1 - Prokisch, Holger A1 - Psaty, Bruce M A1 - Raitakari, Olli T A1 - Ratliff, Scott M A1 - Reiner, Alex P A1 - Schöttker, Ben A1 - Schwartz, Joel A1 - Sedaghat, Sanaz A1 - Smith, Jennifer A A1 - Sotoodehnia, Nona A1 - Stocker, Hannah R A1 - Stringhini, Silvia A1 - Sundström, Johan A1 - Swenson, Brenton R A1 - van Meurs, Joyce B J A1 - van Vliet-Ostaptchouk, Jana V A1 - Venema, Andrea A1 - Völker, Uwe A1 - Winkelmann, Juliane A1 - Wolffenbuttel, Bruce H R A1 - Zhao, Wei A1 - Zheng, Yinan A1 - Loh, Marie A1 - Snieder, Harold A1 - Waldenberger, Melanie A1 - Levy, Daniel A1 - Akilesh, Shreeram A1 - Woodward, Owen M A1 - Susztak, Katalin A1 - Teumer, Alexander A1 - Köttgen, Anna KW - Amino Acid Transport System y+ KW - Cohort Studies KW - CpG Islands KW - DNA Methylation KW - Epigenome KW - Female KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Glucose Transport Proteins, Facilitative KW - Gout KW - Humans KW - Male KW - Uric Acid AB -

Elevated serum urate levels, a complex trait and major risk factor for incident gout, are correlated with cardiometabolic traits via incompletely understood mechanisms. DNA methylation in whole blood captures genetic and environmental influences and is assessed in transethnic meta-analysis of epigenome-wide association studies (EWAS) of serum urate (discovery, n = 12,474, replication, n = 5522). The 100 replicated, epigenome-wide significant (p < 1.1E-7) CpGs explain 11.6% of the serum urate variance. At SLC2A9, the serum urate locus with the largest effect in genome-wide association studies (GWAS), five CpGs are associated with SLC2A9 gene expression. Four CpGs at SLC2A9 have significant causal effects on serum urate levels and/or gout, and two of these partly mediate the effects of urate-associated GWAS variants. In other genes, including SLC7A11 and PHGDH, 17 urate-associated CpGs are associated with conditions defining metabolic syndrome, suggesting that these CpGs may represent a blood DNA methylation signature of cardiometabolic risk factors. This study demonstrates that EWAS can provide new insights into GWAS loci and the correlation of serum urate with other complex traits.

VL - 12 IS - 1 ER - TY - JOUR T1 - Meta-analyses identify DNA methylation associated with kidney function and damage. JF - Nat Commun Y1 - 2021 A1 - Schlosser, Pascal A1 - Tin, Adrienne A1 - Matias-Garcia, Pamela R A1 - Thio, Chris H L A1 - Joehanes, Roby A1 - Liu, Hongbo A1 - Weihs, Antoine A1 - Yu, Zhi A1 - Hoppmann, Anselm A1 - Grundner-Culemann, Franziska A1 - Min, Josine L A1 - Adeyemo, Adebowale A A1 - Agyemang, Charles A1 - Arnlöv, Johan A1 - Aziz, Nasir A A1 - Baccarelli, Andrea A1 - Bochud, Murielle A1 - Brenner, Hermann A1 - Breteler, Monique M B A1 - Carmeli, Cristian A1 - Chaker, Layal A1 - Chambers, John C A1 - Cole, Shelley A A1 - Coresh, Josef A1 - Corre, Tanguy A1 - Correa, Adolfo A1 - Cox, Simon R A1 - de Klein, Niek A1 - Delgado, Graciela E A1 - Domingo-Relloso, Arce A1 - Eckardt, Kai-Uwe A1 - Ekici, Arif B A1 - Endlich, Karlhans A1 - Evans, Kathryn L A1 - Floyd, James S A1 - Fornage, Myriam A1 - Franke, Lude A1 - Fraszczyk, Eliza A1 - Gao, Xu A1 - Gào, Xīn A1 - Ghanbari, Mohsen A1 - Ghasemi, Sahar A1 - Gieger, Christian A1 - Greenland, Philip A1 - Grove, Megan L A1 - Harris, Sarah E A1 - Hemani, Gibran A1 - Henneman, Peter A1 - Herder, Christian A1 - Horvath, Steve A1 - Hou, Lifang A1 - Hurme, Mikko A A1 - Hwang, Shih-Jen A1 - Jarvelin, Marjo-Riitta A1 - Kardia, Sharon L R A1 - Kasela, Silva A1 - Kleber, Marcus E A1 - Koenig, Wolfgang A1 - Kooner, Jaspal S A1 - Kramer, Holly A1 - Kronenberg, Florian A1 - Kuhnel, Brigitte A1 - Lehtimäki, Terho A1 - Lind, Lars A1 - Liu, Dan A1 - Liu, Yongmei A1 - Lloyd-Jones, Donald M A1 - Lohman, Kurt A1 - Lorkowski, Stefan A1 - Lu, Ake T A1 - Marioni, Riccardo E A1 - März, Winfried A1 - McCartney, Daniel L A1 - Meeks, Karlijn A C A1 - Milani, Lili A1 - Mishra, Pashupati P A1 - Nauck, Matthias A1 - Navas-Acien, Ana A1 - Nowak, Christoph A1 - Peters, Annette A1 - Prokisch, Holger A1 - Psaty, Bruce M A1 - Raitakari, Olli T A1 - Ratliff, Scott M A1 - Reiner, Alex P A1 - Rosas, Sylvia E A1 - Schöttker, Ben A1 - Schwartz, Joel A1 - Sedaghat, Sanaz A1 - Smith, Jennifer A A1 - Sotoodehnia, Nona A1 - Stocker, Hannah R A1 - Stringhini, Silvia A1 - Sundström, Johan A1 - Swenson, Brenton R A1 - Tellez-Plaza, Maria A1 - van Meurs, Joyce B J A1 - van Vliet-Ostaptchouk, Jana V A1 - Venema, Andrea A1 - Verweij, Niek A1 - Walker, Rosie M A1 - Wielscher, Matthias A1 - Winkelmann, Juliane A1 - Wolffenbuttel, Bruce H R A1 - Zhao, Wei A1 - Zheng, Yinan A1 - Loh, Marie A1 - Snieder, Harold A1 - Levy, Daniel A1 - Waldenberger, Melanie A1 - Susztak, Katalin A1 - Köttgen, Anna A1 - Teumer, Alexander KW - Adult KW - Aged KW - CpG Islands KW - DNA Methylation KW - Female KW - Glomerular Filtration Rate KW - Humans KW - Interferon Regulatory Factors KW - Kidney KW - Kidney Function Tests KW - LIM Domain Proteins KW - Male KW - Membrane Proteins KW - Middle Aged KW - Renal Insufficiency, Chronic KW - Transcription Factors AB -

Chronic kidney disease is a major public health burden. Elevated urinary albumin-to-creatinine ratio is a measure of kidney damage, and used to diagnose and stage chronic kidney disease. To extend the knowledge on regulatory mechanisms related to kidney function and disease, we conducted a blood-based epigenome-wide association study for estimated glomerular filtration rate (n = 33,605) and urinary albumin-to-creatinine ratio (n = 15,068) and detected 69 and seven CpG sites where DNA methylation was associated with the respective trait. The majority of these findings showed directionally consistent associations with the respective clinical outcomes chronic kidney disease and moderately increased albuminuria. Associations of DNA methylation with kidney function, such as CpGs at JAZF1, PELI1 and CHD2 were validated in kidney tissue. Methylation at PHRF1, LDB2, CSRNP1 and IRF5 indicated causal effects on kidney function. Enrichment analyses revealed pathways related to hemostasis and blood cell migration for estimated glomerular filtration rate, and immune cell activation and response for urinary albumin-to-creatinineratio-associated CpGs.

VL - 12 IS - 1 ER - TY - JOUR T1 - Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. JF - HGG Adv Y1 - 2021 A1 - Sun, Daokun A1 - Richard, Melissa A1 - Musani, Solomon K A1 - Sung, Yun Ju A1 - Winkler, Thomas W A1 - Schwander, Karen A1 - Chai, Jin Fang A1 - Guo, Xiuqing A1 - Kilpeläinen, Tuomas O A1 - Vojinovic, Dina A1 - Aschard, Hugues A1 - Bartz, Traci M A1 - Bielak, Lawrence F A1 - Brown, Michael R A1 - Chitrala, Kumaraswamy A1 - Hartwig, Fernando P A1 - Horimoto, Andrea R V R A1 - Liu, Yongmei A1 - Manning, Alisa K A1 - Noordam, Raymond A1 - Smith, Albert V A1 - Harris, Sarah E A1 - Kuhnel, Brigitte A1 - Lyytikäinen, Leo-Pekka A1 - Nolte, Ilja M A1 - Rauramaa, Rainer A1 - van der Most, Peter J A1 - Wang, Rujia A1 - Ware, Erin B A1 - Weiss, Stefan A1 - Wen, Wanqing A1 - Yanek, Lisa R A1 - Arking, Dan E A1 - Arnett, Donna K A1 - Barac, Ana A1 - Boerwinkle, Eric A1 - Broeckel, Ulrich A1 - Chakravarti, Aravinda A1 - Chen, Yii-Der Ida A1 - Cupples, L Adrienne A1 - Davigulus, Martha L A1 - de Las Fuentes, Lisa A1 - de Mutsert, Renée A1 - de Vries, Paul S A1 - Delaney, Joseph A C A1 - Roux, Ana V Diez A1 - Dörr, Marcus A1 - Faul, Jessica D A1 - Fretts, Amanda M A1 - Gallo, Linda C A1 - Grabe, Hans Jörgen A1 - Gu, C Charles A1 - Harris, Tamara B A1 - Hartman, Catharina C A A1 - Heikkinen, Sami A1 - Ikram, M Arfan A1 - Isasi, Carmen A1 - Johnson, W Craig A1 - Jonas, Jost Bruno A1 - Kaplan, Robert C A1 - Komulainen, Pirjo A1 - Krieger, Jose E A1 - Levy, Daniel A1 - Liu, Jianjun A1 - Lohman, Kurt A1 - Luik, Annemarie I A1 - Martin, Lisa W A1 - Meitinger, Thomas A1 - Milaneschi, Yuri A1 - O'Connell, Jeff R A1 - Palmas, Walter R A1 - Peters, Annette A1 - Peyser, Patricia A A1 - Pulkki-Råback, Laura A1 - Raffel, Leslie J A1 - Reiner, Alex P A1 - Rice, Kenneth A1 - Robinson, Jennifer G A1 - Rosendaal, Frits R A1 - Schmidt, Carsten Oliver A1 - Schreiner, Pamela J A1 - Schwettmann, Lars A1 - Shikany, James M A1 - Shu, Xiao-Ou A1 - Sidney, Stephen A1 - Sims, Mario A1 - Smith, Jennifer A A1 - Sotoodehnia, Nona A1 - Strauch, Konstantin A1 - Tai, E Shyong A1 - Taylor, Kent A1 - Uitterlinden, André G A1 - van Duijn, Cornelia M A1 - Waldenberger, Melanie A1 - Wee, Hwee-Lin A1 - Wei, Wen-Bin A1 - Wilson, Gregory A1 - Xuan, Deng A1 - Yao, Jie A1 - Zeng, Donglin A1 - Zhao, Wei A1 - Zhu, Xiaofeng A1 - Zonderman, Alan B A1 - Becker, Diane M A1 - Deary, Ian J A1 - Gieger, Christian A1 - Lakka, Timo A A1 - Lehtimäki, Terho A1 - North, Kari E A1 - Oldehinkel, Albertine J A1 - Penninx, Brenda W J H A1 - Snieder, Harold A1 - Wang, Ya-Xing A1 - Weir, David R A1 - Zheng, Wei A1 - Evans, Michele K A1 - Gauderman, W James A1 - Gudnason, Vilmundur A1 - Horta, Bernardo L A1 - Liu, Ching-Ti A1 - Mook-Kanamori, Dennis O A1 - Morrison, Alanna C A1 - Pereira, Alexandre C A1 - Psaty, Bruce M A1 - Amin, Najaf A1 - Fox, Ervin R A1 - Kooperberg, Charles A1 - Sim, Xueling A1 - Bierut, Laura A1 - Rotter, Jerome I A1 - Kardia, Sharon L R A1 - Franceschini, Nora A1 - Rao, Dabeeru C A1 - Fornage, Myriam AB -

Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from 5 ancestry groups. In the combined meta-analyses of Stages 1 and 2, we identified 59 loci (p value <5e-8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (), synaptic function and neurotransmission (), as well as genes previously implicated in neuropsychiatric or stress-related disorders (). These findings underscore the importance of considering psychological and social factors in gene discovery for BP, especially in non-European populations.

VL - 2 IS - 1 ER - TY - JOUR T1 - Supplemental Association of Clonal Hematopoiesis With Incident Heart Failure. JF - J Am Coll Cardiol Y1 - 2021 A1 - Yu, Bing A1 - Roberts, Mary B A1 - Raffield, Laura M A1 - Zekavat, Seyedeh Maryam A1 - Nguyen, Ngoc Quynh H A1 - Biggs, Mary L A1 - Brown, Michael R A1 - Griffin, Gabriel A1 - Desai, Pinkal A1 - Correa, Adolfo A1 - Morrison, Alanna C A1 - Shah, Amil M A1 - Niroula, Abhishek A1 - Uddin, Md Mesbah A1 - Honigberg, Michael C A1 - Ebert, Benjamin L A1 - Psaty, Bruce M A1 - Whitsel, Eric A A1 - Manson, JoAnn E A1 - Kooperberg, Charles A1 - Bick, Alexander G A1 - Ballantyne, Christie M A1 - Reiner, Alex P A1 - Natarajan, Pradeep A1 - Eaton, Charles B KW - Aged KW - Clonal Hematopoiesis KW - Correlation of Data KW - Demography KW - DNA-Binding Proteins KW - Female KW - Heart Failure KW - Humans KW - Janus Kinase 2 KW - Male KW - Middle Aged KW - Mutation KW - Proportional Hazards Models KW - Proto-Oncogene Proteins KW - Repressor Proteins KW - Risk Factors KW - Stroke Volume KW - Ventricular Dysfunction, Left KW - Whole Exome Sequencing AB -

BACKGROUND: Age-related clonal hematopoiesis of indeterminate potential (CHIP), defined as clonally expanded leukemogenic sequence variations (particularly in DNMT3A, TET2, ASXL1, and JAK2) in asymptomatic individuals, is associated with cardiovascular events, including recurrent heart failure (HF).

OBJECTIVES: This study sought to evaluate whether CHIP is associated with incident HF.

METHODS: CHIP status was obtained from whole exome or genome sequencing of blood DNA in participants without prevalent HF or hematological malignancy from 5 cohorts. Cox proportional hazards models were performed within each cohort, adjusting for demographic and clinical risk factors, followed by fixed-effect meta-analyses. Large CHIP clones (defined as variant allele frequency >10%), HF with or without baseline coronary heart disease, and left ventricular ejection fraction were evaluated in secondary analyses.

RESULTS: Of 56,597 individuals (59% women, mean age 58 years at baseline), 3,406 (6%) had CHIP, and 4,694 developed HF (8.3%) over up to 20 years of follow-up. CHIP was prospectively associated with a 25% increased risk of HF in meta-analysis (hazard ratio: 1.25; 95% confidence interval: 1.13-1.38) with consistent associations across cohorts. ASXL1, TET2, and JAK2 sequence variations were each associated with an increased risk of HF, whereas DNMT3A sequence variations were not associated with HF. Secondary analyses suggested large CHIP was associated with a greater risk of HF (hazard ratio: 1.29; 95% confidence interval: 1.15-1.44), and the associations for CHIP on HF with and without prior coronary heart disease were homogenous. ASXL1 sequence variations were associated with reduced left ventricular ejection fraction.

CONCLUSIONS: CHIP, particularly sequence variations in ASXL1, TET2, and JAK2, represents a new risk factor for HF.

VL - 78 IS - 1 ER - TY - JOUR T1 - A System for Phenotype Harmonization in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. JF - Am J Epidemiol Y1 - 2021 A1 - Stilp, Adrienne M A1 - Emery, Leslie S A1 - Broome, Jai G A1 - Buth, Erin J A1 - Khan, Alyna T A1 - Laurie, Cecelia A A1 - Wang, Fei Fei A1 - Wong, Quenna A1 - Chen, Dongquan A1 - D'Augustine, Catherine M A1 - Heard-Costa, Nancy L A1 - Hohensee, Chancellor R A1 - Johnson, William Craig A1 - Juarez, Lucia D A1 - Liu, Jingmin A1 - Mutalik, Karen M A1 - Raffield, Laura M A1 - Wiggins, Kerri L A1 - de Vries, Paul S A1 - Kelly, Tanika N A1 - Kooperberg, Charles A1 - Natarajan, Pradeep A1 - Peloso, Gina M A1 - Peyser, Patricia A A1 - Reiner, Alex P A1 - Arnett, Donna K A1 - Aslibekyan, Stella A1 - Barnes, Kathleen C A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Cade, Brian E A1 - Chen, Ming-Huei A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - de Andrade, Mariza A1 - Ellinor, Patrick T A1 - Fornage, Myriam A1 - Franceschini, Nora A1 - Gan, Weiniu A1 - Ganesh, Santhi K A1 - Graffelman, Jan A1 - Grove, Megan L A1 - Guo, Xiuqing A1 - Hawley, Nicola L A1 - Hsu, Wan-Ling A1 - Jackson, Rebecca D A1 - Jaquish, Cashell E A1 - Johnson, Andrew D A1 - Kardia, Sharon L R A1 - Kelly, Shannon A1 - Lee, Jiwon A1 - Mathias, Rasika A A1 - McGarvey, Stephen T A1 - Mitchell, Braxton D A1 - Montasser, May E A1 - Morrison, Alanna C A1 - North, Kari E A1 - Nouraie, Seyed Mehdi A1 - Oelsner, Elizabeth C A1 - Pankratz, Nathan A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Smith, Jennifer A A1 - Taylor, Kent D A1 - Vasan, Ramachandran S A1 - Weeks, Daniel E A1 - Weiss, Scott T A1 - Wilson, Carla G A1 - Yanek, Lisa R A1 - Psaty, Bruce M A1 - Heckbert, Susan R A1 - Laurie, Cathy C AB -

Genotype-phenotype association studies often combine phenotype data from multiple studies to increase power. Harmonization of the data usually requires substantial effort due to heterogeneity in phenotype definitions, study design, data collection procedures, and data set organization. Here we describe a centralized system for phenotype harmonization that includes input from phenotype domain and study experts, quality control, documentation, reproducible results, and data sharing mechanisms. This system was developed for the National Heart, Lung and Blood Institute's Trans-Omics for Precision Medicine program, which is generating genomic and other omics data for >80 studies with extensive phenotype data. To date, 63 phenotypes have been harmonized across thousands of participants from up to 17 studies per phenotype (participants recruited 1948-2012). We discuss challenges in this undertaking and how they were addressed. The harmonized phenotype data and associated documentation have been submitted to National Institutes of Health data repositories for controlled-access by the scientific community. We also provide materials to facilitate future harmonization efforts by the community, which include (1) the code used to generate the 63 harmonized phenotypes, enabling others to reproduce, modify or extend these harmonizations to additional studies; and (2) results of labeling thousands of phenotype variables with controlled vocabulary terms.

ER - TY - JOUR T1 - Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium. JF - EBioMedicine Y1 - 2021 A1 - Lin, Bridget M A1 - Grinde, Kelsey E A1 - Brody, Jennifer A A1 - Breeze, Charles E A1 - Raffield, Laura M A1 - Mychaleckyj, Josyf C A1 - Thornton, Timothy A A1 - Perry, James A A1 - Baier, Leslie J A1 - de Las Fuentes, Lisa A1 - Guo, Xiuqing A1 - Heavner, Benjamin D A1 - Hanson, Robert L A1 - Hung, Yi-Jen A1 - Qian, Huijun A1 - Hsiung, Chao A A1 - Hwang, Shih-Jen A1 - Irvin, Margaret R A1 - Jain, Deepti A1 - Kelly, Tanika N A1 - Kobes, Sayuko A1 - Lange, Leslie A1 - Lash, James P A1 - Li, Yun A1 - Liu, Xiaoming A1 - Mi, Xuenan A1 - Musani, Solomon K A1 - Papanicolaou, George J A1 - Parsa, Afshin A1 - Reiner, Alex P A1 - Salimi, Shabnam A1 - Sheu, Wayne H-H A1 - Shuldiner, Alan R A1 - Taylor, Kent D A1 - Smith, Albert V A1 - Smith, Jennifer A A1 - Tin, Adrienne A1 - Vaidya, Dhananjay A1 - Wallace, Robert B A1 - Yamamoto, Kenichi A1 - Sakaue, Saori A1 - Matsuda, Koichi A1 - Kamatani, Yoichiro A1 - Momozawa, Yukihide A1 - Yanek, Lisa R A1 - Young, Betsi A A1 - Zhao, Wei A1 - Okada, Yukinori A1 - Abecasis, Gonzalo A1 - Psaty, Bruce M A1 - Arnett, Donna K A1 - Boerwinkle, Eric A1 - Cai, Jianwen A1 - Yii-Der Chen, Ida A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - He, Jiang A1 - Kardia, Sharon Lr A1 - Kooperberg, Charles A1 - Mathias, Rasika A A1 - Mitchell, Braxton D A1 - Nickerson, Deborah A A1 - Turner, Steve T A1 - Vasan, Ramachandran S A1 - Rotter, Jerome I A1 - Levy, Daniel A1 - Kramer, Holly J A1 - Köttgen, Anna A1 - Rich, Stephen S A1 - Lin, Dan-Yu A1 - Browning, Sharon R A1 - Franceschini, Nora AB -

BACKGROUND: Genetic factors that influence kidney traits have been understudied for low frequency and ancestry-specific variants.

METHODS: We combined whole genome sequencing (WGS) data from 23,732 participants from 10 NHLBI Trans-Omics for Precision Medicine (TOPMed) Program multi-ethnic studies to identify novel loci for estimated glomerular filtration rate (eGFR). Participants included European, African, East Asian, and Hispanic ancestries. We applied linear mixed models using a genetic relationship matrix estimated from the WGS data and adjusted for age, sex, study, and ethnicity.

FINDINGS: When testing single variants, we identified three novel loci driven by low frequency variants more commonly observed in non-European ancestry (PRKAA2, rs180996919, minor allele frequency [MAF] 0.04%, P = 6.1 × 10; METTL8, rs116951054, MAF 0.09%, P = 4.5 × 10; and MATK, rs539182790, MAF 0.05%, P = 3.4 × 10). We also replicated two known loci for common variants (rs2461702, MAF=0.49, P = 1.2 × 10, nearest gene GATM, and rs71147340, MAF=0.34, P = 3.3 × 10, CDK12). Testing aggregated variants within a gene identified the MAF gene. A statistical approach based on local ancestry helped to identify replication samples for ancestry-specific variants.

INTERPRETATION: This study highlights challenges in studying variants influencing kidney traits that are low frequency in populations and more common in non-European ancestry.

VL - 63 ER - TY - JOUR T1 - Circulating Soluble CD163, Associations With Cardiovascular Outcomes and Mortality, and Identification of Genetic Variants in Older Individuals: The Cardiovascular Health Study. JF - J Am Heart Assoc Y1 - 2022 A1 - Durda, Peter A1 - Raffield, Laura M A1 - Lange, Ethan M A1 - Olson, Nels C A1 - Jenny, Nancy Swords A1 - Cushman, Mary A1 - Deichgraeber, Pia A1 - Grarup, Niels A1 - Jonsson, Anna A1 - Hansen, Torben A1 - Mychaleckyj, Josyf C A1 - Psaty, Bruce M A1 - Reiner, Alex P A1 - Tracy, Russell P A1 - Lange, Leslie A KW - Aged KW - Antigens, CD KW - Antigens, Differentiation, Myelomonocytic KW - Asialoglycoprotein Receptor KW - Biomarkers KW - Cardiovascular Diseases KW - Female KW - Genome-Wide Association Study KW - Heart Failure KW - Humans KW - Longitudinal Studies KW - Male AB -

Background Monocytes/macrophages participate in cardiovascular disease. CD163 (cluster of differentiation 163) is a monocyte/macrophage receptor, and the shed sCD163 (soluble CD163) reflects monocyte/macrophage activation. We examined the association of sCD163 with incident cardiovascular disease events and performed a genome-wide association study to identify sCD163-associated variants. Methods and Results We measured plasma sCD163 in 5214 adults (aged ≥65 years, 58.7% women, 16.2% Black) of the CHS (Cardiovascular Health Study). We used Cox regression models (associations of sCD163 with incident events and mortality); median follow-up was 26 years. Genome-wide association study analyses were stratified on race. Adjusted for age, sex, and race and ethnicity, sCD163 levels were associated with all-cause mortality (hazard ratio [HR], 1.08 [95% CI, 1.04-1.12] per SD increase), cardiovascular disease mortality (HR, 1.15 [95% CI, 1.09-1.21]), incident coronary heart disease (HR, 1.10 [95% CI, 1.04-1.16]), and incident heart failure (HR, 1.18 [95% CI, 1.12-1.25]). When further adjusted (eg, cardiovascular disease risk factors), only incident coronary heart disease lost significance. In European American individuals, genome-wide association studies identified 38 variants on chromosome 2 near (top result rs62165726, =3.3×10),19 variants near chromosome 17 gene (rs55714927, =1.5×10), and 18 variants near chromosome 11 gene . These regions replicated in the European ancestry ADDITION-PRO cohort, a longitudinal cohort study nested in the Danish arm of the Anglo-Danish-Dutch study of Intensive Treatment Intensive Treatment In peOple with screeNdetcted Diabetes in Primary Care. In Black individuals, we identified 9 variants on chromosome 6 (rs3129781 =7.1×10) in the region, and 3 variants (rs115391969 =4.3×10) near the chromosome 16 gene Conclusions Monocyte function, as measured by sCD163, may be predictive of overall and cardiovascular-specific mortality and incident heart failure.

VL - 11 IS - 21 ER - TY - JOUR T1 - Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension. JF - Hypertension Y1 - 2022 A1 - Kelly, Tanika N A1 - Sun, Xiao A1 - He, Karen Y A1 - Brown, Michael R A1 - Taliun, Sarah A Gagliano A1 - Hellwege, Jacklyn N A1 - Irvin, Marguerite R A1 - Mi, Xuenan A1 - Brody, Jennifer A A1 - Franceschini, Nora A1 - Guo, Xiuqing A1 - Hwang, Shih-Jen A1 - de Vries, Paul S A1 - Gao, Yan A1 - Moscati, Arden A1 - Nadkarni, Girish N A1 - Yanek, Lisa R A1 - Elfassy, Tali A1 - Smith, Jennifer A A1 - Chung, Ren-Hua A1 - Beitelshees, Amber L A1 - Patki, Amit A1 - Aslibekyan, Stella A1 - Blobner, Brandon M A1 - Peralta, Juan M A1 - Assimes, Themistocles L A1 - Palmas, Walter R A1 - Liu, Chunyu A1 - Bress, Adam P A1 - Huang, Zhijie A1 - Becker, Lewis C A1 - Hwa, Chii-Min A1 - O'Connell, Jeffrey R A1 - Carlson, Jenna C A1 - Warren, Helen R A1 - Das, Sayantan A1 - Giri, Ayush A1 - Martin, Lisa W A1 - Craig Johnson, W A1 - Fox, Ervin R A1 - Bottinger, Erwin P A1 - Razavi, Alexander C A1 - Vaidya, Dhananjay A1 - Chuang, Lee-Ming A1 - Chang, Yen-Pei C A1 - Naseri, Take A1 - Jain, Deepti A1 - Kang, Hyun Min A1 - Hung, Adriana M A1 - Srinivasasainagendra, Vinodh A1 - Snively, Beverly M A1 - Gu, Dongfeng A1 - Montasser, May E A1 - Reupena, Muagututi'a Sefuiva A1 - Heavner, Benjamin D A1 - LeFaive, Jonathon A1 - Hixson, James E A1 - Rice, Kenneth M A1 - Wang, Fei Fei A1 - Nielsen, Jonas B A1 - Huang, Jianfeng A1 - Khan, Alyna T A1 - Zhou, Wei A1 - Nierenberg, Jovia L A1 - Laurie, Cathy C A1 - Armstrong, Nicole D A1 - Shi, Mengyao A1 - Pan, Yang A1 - Stilp, Adrienne M A1 - Emery, Leslie A1 - Wong, Quenna A1 - Hawley, Nicola L A1 - Minster, Ryan L A1 - Curran, Joanne E A1 - Munroe, Patricia B A1 - Weeks, Daniel E A1 - North, Kari E A1 - Tracy, Russell P A1 - Kenny, Eimear E A1 - Shimbo, Daichi A1 - Chakravarti, Aravinda A1 - Rich, Stephen S A1 - Reiner, Alex P A1 - Blangero, John A1 - Redline, Susan A1 - Mitchell, Braxton D A1 - Rao, Dabeeru C A1 - Ida Chen, Yii-Der A1 - Kardia, Sharon L R A1 - Kaplan, Robert C A1 - Mathias, Rasika A A1 - He, Jiang A1 - Psaty, Bruce M A1 - Fornage, Myriam A1 - Loos, Ruth J F A1 - Correa, Adolfo A1 - Boerwinkle, Eric A1 - Rotter, Jerome I A1 - Kooperberg, Charles A1 - Edwards, Todd L A1 - Abecasis, Goncalo R A1 - Zhu, Xiaofeng A1 - Levy, Daniel A1 - Arnett, Donna K A1 - Morrison, Alanna C AB -

BACKGROUND: The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure.

METHODS: We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants.

RESULTS: Two blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (<5×10). Among them, a rare intergenic variant at novel locus, , was associated with lower systolic blood pressure in stage-1 (beta [SE]=-32.6 [6.0]; =4.99×10) but not stage-2 analysis (=0.11). Furthermore, a novel common variant at the known locus was suggestively associated with diastolic blood pressure in stage-1 (beta [SE]=-0.36 [0.07]; =4.18×10) and attained genome-wide significance in stage-2 (beta [SE]=-0.29 [0.03]; =7.28×10). Nineteen additional signals suggestively associated with blood pressure in meta-analysis of single and aggregate rare variant findings (<1×10 and <1×10, respectively).

DISCUSSION: We report one promising but unconfirmed rare variant for blood pressure and, more importantly, contribute insights for future blood pressure sequencing studies. Our findings suggest promise of aggregate analyses to complement single variant analysis strategies and the need for larger, diverse samples, and family studies to enable robust rare variant identification.

ER - TY - JOUR T1 - Intake and Sources of Dietary Fiber, Inflammation, and Cardiovascular Disease in Older US Adults. JF - JAMA Netw Open Y1 - 2022 A1 - Shivakoti, Rupak A1 - Biggs, Mary L A1 - Djoussé, Luc A1 - Durda, Peter Jon A1 - Kizer, Jorge R A1 - Psaty, Bruce A1 - Reiner, Alex P A1 - Tracy, Russell P A1 - Siscovick, David A1 - Mukamal, Kenneth J KW - Adult KW - Aged KW - Cardiovascular Diseases KW - Cohort Studies KW - Dietary Fiber KW - Female KW - Humans KW - Inflammation KW - Middle Aged KW - Risk Factors AB -

Importance: Higher intake of dietary fiber has been associated with lower inflammation, but whether there are differences in this association by source of dietary fiber (ie, cereal, vegetable, or fruit) has not been studied to date.

Objectives: To evaluate the associations of total fiber intake and source (ie, cereal, vegetable, and fruit fiber intake) with inflammation and to evaluate whether inflammation mediates the inverse association between dietary fiber intake and cardiovascular disease (CVD).

Design, Setting, and Participants: At the baseline visit (1989-1990) of 4125 adults aged 65 years or older in an ongoing US cohort study, dietary intake was assessed by a food frequency questionnaire among study participants without prevalent CVD (stroke and myocardial infarction) at enrollment. Inflammation was assessed from blood samples collected at baseline with immunoassays for markers of inflammation. Multivariable linear regression models tested the association of dietary fiber intake with inflammation. Also assessed was whether each inflammatory marker and its composite derived from principal component analysis mediated the association of baseline cereal fiber intake with development of CVD (stroke, myocardial infarction, and atherosclerotic cardiovascular death) through June 2015. Data from June 1, 1989, through June 30, 2015, were analyzed.

Exposures: Total fiber intake and sources of fiber (cereal, vegetable, and fruit).

Main Outcomes and Measures: Systemic markers of inflammation. Cardiovascular disease was the outcome in the mediation analysis.

Results: Of 4125 individuals, 0.1% (n = 3) were Asian or Pacific Islander, 4.4% (n = 183) were Black, 0.3% (n = 12) were Native American, 95.0% (n = 3918) were White, and 0.2% (n = 9) were classified as other. Among these 4125 individuals (2473 women [60%]; mean [SD] age, 72.6 [5.5] years; 183 Black individuals [4.4%]; and 3942 individuals of other races and ethnicitites [95.6%] [ie, race and ethnicity other than Black, self-classified by participant]), an increase in total fiber intake of 5 g/d was associated with significantly lower concentrations of C-reactive protein (adjusted mean difference, -0.05 SD; 95% CI, -0.08 to -0.01 SD; P = .007) and interleukin 1 receptor antagonist (adjusted mean difference, -0.04 SD; 95% CI, -0.07 to -0.01 SD; P < .02) but with higher concentrations of soluble CD163 (adjusted mean difference, 0.05 SD; 95% CI, 0.02-0.09 SD; P = .005). Among fiber sources, only cereal fiber was consistently associated with lower inflammation. Similarly, cereal fiber intake was associated with lower CVD incidence (adjusted hazard ratio, 0.90; 95% CI, 0.81-1.00; 1941 incident cases). The proportion of the observed association of cereal fiber with CVD mediated by inflammatory markers ranged from 1.5% for interleukin 18 to 14.2% for C-reactive protein, and 16.1% for their primary principal component.

Conclusions and Relevance: Results of this study suggest that cereal fiber intake was associated with lower levels of various inflammatory markers and lower risk of CVD and that inflammation mediated approximately one-sixth of the association between cereal fiber intake and CVD.

VL - 5 IS - 3 ER - TY - JOUR T1 - Whole exome sequencing of 14 389 individuals from the ESP and CHARGE consortia identifies novel rare variation associated with hemostatic factors. JF - Hum Mol Genet Y1 - 2022 A1 - Pankratz, Nathan A1 - Wei, Peng A1 - Brody, Jennifer A A1 - Chen, Ming-Huei A1 - Vries, Paul S A1 - Huffman, Jennifer E A1 - Stimson, Mary Rachel A1 - Auer, Paul L A1 - Boerwinkle, Eric A1 - Cushman, Mary A1 - Maat, Moniek P M A1 - Folsom, Aaron R A1 - Franco, Oscar H A1 - Gibbs, Richard A A1 - Haagenson, Kelly K A1 - Hofman, Albert A1 - Johnsen, Jill M A1 - Kovar, Christie L A1 - Kraaij, Robert A1 - McKnight, Barbara A1 - Metcalf, Ginger A A1 - Muzny, Donna A1 - Psaty, Bruce M A1 - Tang, Weihong A1 - Uitterlinden, André G A1 - Rooij, Jeroen G J A1 - Dehghan, Abbas A1 - O'Donnell, Christopher J A1 - Reiner, Alex P A1 - Morrison, Alanna C A1 - Smith, Nicholas L AB -

Plasma levels of fibrinogen, coagulation factors VII and VIII, and von Willebrand factor (vWF) are four intermediate phenotypes that are heritable and have been associated with the risk of clinical thrombotic events. To identify rare and low-frequency variants associated with these hemostatic factors, we conducted whole exome sequencing in 10 860 individuals of European ancestry (EA) and 3529 African Americans (AAs) from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium and the National Heart, Lung, and Blood Institute's Exome Sequencing Project (ESP). Gene-based tests demonstrated significant associations with rare variation (minor allele frequency < 5%) in FGG (with fibrinogen, p = 9.1x10-13), F7 (with factor VII, p = 1.3x10-72; seven novel variants), and VWF (with factor VIII and vWF; p = 3.2x10-14; one novel variant). These eight novel rare variant associations were independent of the known common variants at these loci and tended to have much larger effect sizes. In addition, one of the rare novel variants in F7 was significantly associated with an increased risk of venous thromboembolism in AAs (Ile200Ser; rs141219108; p = 4.2x10-5). After restricting gene-based analyses to only loss-of-function variants, a novel significant association was detected and replicated between factor VIII levels and a stop-gain mutation exclusive to African Americans (rs3211938) in CD36. This variant has previously been linked to dyslipidemia but not with levels of a hemostatic factor. These efforts represent the largest integration of whole exome sequence data from two national projects to identify genetic variation associated with plasma hemostatic factors.

ER - TY - JOUR T1 - Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program. JF - Nat Commun Y1 - 2022 A1 - Wheeler, Marsha M A1 - Stilp, Adrienne M A1 - Rao, Shuquan A1 - Halldorsson, Bjarni V A1 - Beyter, Doruk A1 - Wen, Jia A1 - Mihkaylova, Anna V A1 - McHugh, Caitlin P A1 - Lane, John A1 - Jiang, Min-Zhi A1 - Raffield, Laura M A1 - Jun, Goo A1 - Sedlazeck, Fritz J A1 - Metcalf, Ginger A1 - Yao, Yao A1 - Bis, Joshua B A1 - Chami, Nathalie A1 - de Vries, Paul S A1 - Desai, Pinkal A1 - Floyd, James S A1 - Gao, Yan A1 - Kammers, Kai A1 - Kim, Wonji A1 - Moon, Jee-Young A1 - Ratan, Aakrosh A1 - Yanek, Lisa R A1 - Almasy, Laura A1 - Becker, Lewis C A1 - Blangero, John A1 - Cho, Michael H A1 - Curran, Joanne E A1 - Fornage, Myriam A1 - Kaplan, Robert C A1 - Lewis, Joshua P A1 - Loos, Ruth J F A1 - Mitchell, Braxton D A1 - Morrison, Alanna C A1 - Preuss, Michael A1 - Psaty, Bruce M A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Tang, Hua A1 - Tracy, Russell P A1 - Boerwinkle, Eric A1 - Abecasis, Goncalo R A1 - Blackwell, Thomas W A1 - Smith, Albert V A1 - Johnson, Andrew D A1 - Mathias, Rasika A A1 - Nickerson, Deborah A A1 - Conomos, Matthew P A1 - Li, Yun A1 - Þorsteinsdottir, Unnur A1 - Magnússon, Magnús K A1 - Stefansson, Kari A1 - Pankratz, Nathan D A1 - Bauer, Daniel E A1 - Auer, Paul L A1 - Reiner, Alex P KW - Blood Cells KW - Genome-Wide Association Study KW - Humans KW - Whole Genome Sequencing AB -

Genome-wide association studies have identified thousands of single nucleotide variants and small indels that contribute to variation in hematologic traits. While structural variants are known to cause rare blood or hematopoietic disorders, the genome-wide contribution of structural variants to quantitative blood cell trait variation is unknown. Here we utilized whole genome sequencing data in ancestrally diverse participants of the NHLBI Trans Omics for Precision Medicine program (N = 50,675) to detect structural variants associated with hematologic traits. Using single variant tests, we assessed the association of common and rare structural variants with red cell-, white cell-, and platelet-related quantitative traits and observed 21 independent signals (12 common and 9 rare) reaching genome-wide significance. The majority of these associations (N = 18) replicated in independent datasets. In genome-editing experiments, we provide evidence that a deletion associated with lower monocyte counts leads to disruption of an S1PR3 monocyte enhancer and decreased S1PR3 expression.

VL - 13 IS - 1 ER - TY - JOUR T1 - Clonal Hematopoiesis of Indeterminate Potential (CHIP) and Incident Type 2 Diabetes Risk. JF - Diabetes Care Y1 - 2023 A1 - Tobias, Deirdre K A1 - Manning, Alisa K A1 - Wessel, Jennifer A1 - Raghavan, Sridharan A1 - Westerman, Kenneth E A1 - Bick, Alexander G A1 - DiCorpo, Daniel A1 - Whitsel, Eric A A1 - Collins, Jason A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Dupuis, Josée A1 - Goodarzi, Mark O A1 - Guo, Xiuqing A1 - Howard, Barbara A1 - Lange, Leslie A A1 - Liu, Simin A1 - Raffield, Laura M A1 - Reiner, Alex P A1 - Rich, Stephen S A1 - Taylor, Kent D A1 - Tinker, Lesley A1 - Wilson, James G A1 - Wu, Peitao A1 - Carson, April P A1 - Vasan, Ramachandran S A1 - Fornage, Myriam A1 - Psaty, Bruce M A1 - Kooperberg, Charles A1 - Rotter, Jerome I A1 - Meigs, James A1 - Manson, JoAnn E AB -

OBJECTIVE: Clonal hematopoiesis of indeterminate potential (CHIP) is an aging-related accumulation of somatic mutations in hematopoietic stem cells, leading to clonal expansion. CHIP presence has been implicated in atherosclerotic coronary heart disease (CHD) and all-cause mortality, but its association with incident type 2 diabetes (T2D) is unknown. We hypothesized that CHIP is associated with elevated risk of T2D.

RESEARCH DESIGN AND METHODS: CHIP was derived from whole-genome sequencing of blood DNA in the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) prospective cohorts. We performed analysis for 17,637 participants from six cohorts, without prior T2D, cardiovascular disease, or cancer. We evaluated baseline CHIP versus no CHIP prevalence with incident T2D, including associations with DNMT3A, TET2, ASXL1, JAK2, and TP53 variants. We estimated multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) with adjustment for age, sex, BMI, smoking, alcohol, education, self-reported race/ethnicity, and combined cohorts' estimates via fixed-effects meta-analysis.

RESULTS: Mean (SD) age was 63.4 (11.5) years, 76% were female, and CHIP prevalence was 6.0% (n = 1,055) at baseline. T2D was diagnosed in n = 2,467 over mean follow-up of 9.8 years. Participants with CHIP had 23% (CI = 1.04, 1.45) higher risk of T2D than those with no CHIP. Specifically, higher risk was for TET2 (HR 1.48; CI = 1.05, 2.08) and ASXL1 (HR 1.76; CI = 1.03, 2.99) mutations; DNMT3A was nonsignificant (HR 1.15; CI = 0.93, 1.43). Statistical power was limited for JAK2 and TP53 analyses.

CONCLUSIONS: CHIP was associated with higher incidence of T2D. CHIP mutations located on genes implicated in CHD and mortality were also related to T2D, suggesting shared aging-related pathology.

ER -