TY - JOUR T1 - Genome-wide association study of blood pressure and hypertension. JF - Nat Genet Y1 - 2009 A1 - Levy, Daniel A1 - Ehret, Georg B A1 - Rice, Kenneth A1 - Verwoert, Germaine C A1 - Launer, Lenore J A1 - Dehghan, Abbas A1 - Glazer, Nicole L A1 - Morrison, Alanna C A1 - Johnson, Andrew D A1 - Aspelund, Thor A1 - Aulchenko, Yurii A1 - Lumley, Thomas A1 - Köttgen, Anna A1 - Vasan, Ramachandran S A1 - Rivadeneira, Fernando A1 - Eiriksdottir, Gudny A1 - Guo, Xiuqing A1 - Arking, Dan E A1 - Mitchell, Gary F A1 - Mattace-Raso, Francesco U S A1 - Smith, Albert V A1 - Taylor, Kent A1 - Scharpf, Robert B A1 - Hwang, Shih-Jen A1 - Sijbrands, Eric J G A1 - Bis, Joshua A1 - Harris, Tamara B A1 - Ganesh, Santhi K A1 - O'Donnell, Christopher J A1 - Hofman, Albert A1 - Rotter, Jerome I A1 - Coresh, Josef A1 - Benjamin, Emelia J A1 - Uitterlinden, André G A1 - Heiss, Gerardo A1 - Fox, Caroline S A1 - Witteman, Jacqueline C M A1 - Boerwinkle, Eric A1 - Wang, Thomas J A1 - Gudnason, Vilmundur A1 - Larson, Martin G A1 - Chakravarti, Aravinda A1 - Psaty, Bruce M A1 - van Duijn, Cornelia M KW - Blood Pressure KW - Cell Line KW - Chromosome Mapping KW - Chromosomes, Human KW - Diastole KW - Gene Expression Regulation KW - Genetic Association Studies KW - Genome-Wide Association Study KW - Humans KW - Hypertension KW - Liver KW - Lymphocytes KW - Meta-Analysis as Topic KW - Odds Ratio KW - Phenotype KW - Prevalence KW - Risk Assessment KW - Systole AB -

Blood pressure is a major cardiovascular disease risk factor. To date, few variants associated with interindividual blood pressure variation have been identified and replicated. Here we report results of a genome-wide association study of systolic (SBP) and diastolic (DBP) blood pressure and hypertension in the CHARGE Consortium (n = 29,136), identifying 13 SNPs for SBP, 20 for DBP and 10 for hypertension at P < 4 × 10(-7). The top ten loci for SBP and DBP were incorporated into a risk score; mean BP and prevalence of hypertension increased in relation to the number of risk alleles carried. When ten CHARGE SNPs for each trait were included in a joint meta-analysis with the Global BPgen Consortium (n = 34,433), four CHARGE loci attained genome-wide significance (P < 5 × 10(-8)) for SBP (ATP2B1, CYP17A1, PLEKHA7, SH2B3), six for DBP (ATP2B1, CACNB2, CSK-ULK3, SH2B3, TBX3-TBX5, ULK4) and one for hypertension (ATP2B1). Identifying genes associated with blood pressure advances our understanding of blood pressure regulation and highlights potential drug targets for the prevention or treatment of hypertension.

VL - 41 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/19430479?dopt=Abstract ER - TY - JOUR T1 - Biological, clinical and population relevance of 95 loci for blood lipids. JF - Nature Y1 - 2010 A1 - Teslovich, Tanya M A1 - Musunuru, Kiran A1 - Smith, Albert V A1 - Edmondson, Andrew C A1 - Stylianou, Ioannis M A1 - Koseki, Masahiro A1 - Pirruccello, James P A1 - Ripatti, Samuli A1 - Chasman, Daniel I A1 - Willer, Cristen J A1 - Johansen, Christopher T A1 - Fouchier, Sigrid W A1 - Isaacs, Aaron A1 - Peloso, Gina M A1 - Barbalic, Maja A1 - Ricketts, Sally L A1 - Bis, Joshua C A1 - Aulchenko, Yurii S A1 - Thorleifsson, Gudmar A1 - Feitosa, Mary F A1 - Chambers, John A1 - Orho-Melander, Marju A1 - Melander, Olle A1 - Johnson, Toby A1 - Li, Xiaohui A1 - Guo, Xiuqing A1 - Li, Mingyao A1 - Shin Cho, Yoon A1 - Jin Go, Min A1 - Jin Kim, Young A1 - Lee, Jong-Young A1 - Park, Taesung A1 - Kim, Kyunga A1 - Sim, Xueling A1 - Twee-Hee Ong, Rick A1 - Croteau-Chonka, Damien C A1 - Lange, Leslie A A1 - Smith, Joshua D A1 - Song, Kijoung A1 - Hua Zhao, Jing A1 - Yuan, Xin A1 - Luan, Jian'an A1 - Lamina, Claudia A1 - Ziegler, Andreas A1 - Zhang, Weihua A1 - Zee, Robert Y L A1 - Wright, Alan F A1 - Witteman, Jacqueline C M A1 - Wilson, James F A1 - Willemsen, Gonneke A1 - Wichmann, H-Erich A1 - Whitfield, John B A1 - Waterworth, Dawn M A1 - Wareham, Nicholas J A1 - Waeber, Gérard A1 - Vollenweider, Peter A1 - Voight, Benjamin F A1 - Vitart, Veronique A1 - Uitterlinden, André G A1 - Uda, Manuela A1 - Tuomilehto, Jaakko A1 - Thompson, John R A1 - Tanaka, Toshiko A1 - Surakka, Ida A1 - Stringham, Heather M A1 - Spector, Tim D A1 - Soranzo, Nicole A1 - Smit, Johannes H A1 - Sinisalo, Juha A1 - Silander, Kaisa A1 - Sijbrands, Eric J G A1 - Scuteri, Angelo A1 - Scott, James A1 - Schlessinger, David A1 - Sanna, Serena A1 - Salomaa, Veikko A1 - Saharinen, Juha A1 - Sabatti, Chiara A1 - Ruokonen, Aimo A1 - Rudan, Igor A1 - Rose, Lynda M A1 - Roberts, Robert A1 - Rieder, Mark A1 - Psaty, Bruce M A1 - Pramstaller, Peter P A1 - Pichler, Irene A1 - Perola, Markus A1 - Penninx, Brenda W J H A1 - Pedersen, Nancy L A1 - Pattaro, Cristian A1 - Parker, Alex N A1 - Paré, Guillaume A1 - Oostra, Ben A A1 - O'Donnell, Christopher J A1 - Nieminen, Markku S A1 - Nickerson, Deborah A A1 - Montgomery, Grant W A1 - Meitinger, Thomas A1 - McPherson, Ruth A1 - McCarthy, Mark I A1 - McArdle, Wendy A1 - Masson, David A1 - Martin, Nicholas G A1 - Marroni, Fabio A1 - Mangino, Massimo A1 - Magnusson, Patrik K E A1 - Lucas, Gavin A1 - Luben, Robert A1 - Loos, Ruth J F A1 - Lokki, Marja-Liisa A1 - Lettre, Guillaume A1 - Langenberg, Claudia A1 - Launer, Lenore J A1 - Lakatta, Edward G A1 - Laaksonen, Reijo A1 - Kyvik, Kirsten O A1 - Kronenberg, Florian A1 - König, Inke R A1 - Khaw, Kay-Tee A1 - Kaprio, Jaakko A1 - Kaplan, Lee M A1 - Johansson, Asa A1 - Jarvelin, Marjo-Riitta A1 - Janssens, A Cecile J W A1 - Ingelsson, Erik A1 - Igl, Wilmar A1 - Kees Hovingh, G A1 - Hottenga, Jouke-Jan A1 - Hofman, Albert A1 - Hicks, Andrew A A1 - Hengstenberg, Christian A1 - Heid, Iris M A1 - Hayward, Caroline A1 - Havulinna, Aki S A1 - Hastie, Nicholas D A1 - Harris, Tamara B A1 - Haritunians, Talin A1 - Hall, Alistair S A1 - Gyllensten, Ulf A1 - Guiducci, Candace A1 - Groop, Leif C A1 - Gonzalez, Elena A1 - Gieger, Christian A1 - Freimer, Nelson B A1 - Ferrucci, Luigi A1 - Erdmann, Jeanette A1 - Elliott, Paul A1 - Ejebe, Kenechi G A1 - Döring, Angela A1 - Dominiczak, Anna F A1 - Demissie, Serkalem A1 - Deloukas, Panagiotis A1 - de Geus, Eco J C A1 - de Faire, Ulf A1 - Crawford, Gabriel A1 - Collins, Francis S A1 - Chen, Yii-der I A1 - Caulfield, Mark J A1 - Campbell, Harry A1 - Burtt, Noel P A1 - Bonnycastle, Lori L A1 - Boomsma, Dorret I A1 - Boekholdt, S Matthijs A1 - Bergman, Richard N A1 - Barroso, Inês A1 - Bandinelli, Stefania A1 - Ballantyne, Christie M A1 - Assimes, Themistocles L A1 - Quertermous, Thomas A1 - Altshuler, David A1 - Seielstad, Mark A1 - Wong, Tien Y A1 - Tai, E-Shyong A1 - Feranil, Alan B A1 - Kuzawa, Christopher W A1 - Adair, Linda S A1 - Taylor, Herman A A1 - Borecki, Ingrid B A1 - Gabriel, Stacey B A1 - Wilson, James G A1 - Holm, Hilma A1 - Thorsteinsdottir, Unnur A1 - Gudnason, Vilmundur A1 - Krauss, Ronald M A1 - Mohlke, Karen L A1 - Ordovas, Jose M A1 - Munroe, Patricia B A1 - Kooner, Jaspal S A1 - Tall, Alan R A1 - Hegele, Robert A A1 - Kastelein, John J P A1 - Schadt, Eric E A1 - Rotter, Jerome I A1 - Boerwinkle, Eric A1 - Strachan, David P A1 - Mooser, Vincent A1 - Stefansson, Kari A1 - Reilly, Muredach P A1 - Samani, Nilesh J A1 - Schunkert, Heribert A1 - Cupples, L Adrienne A1 - Sandhu, Manjinder S A1 - Ridker, Paul M A1 - Rader, Daniel J A1 - van Duijn, Cornelia M A1 - Peltonen, Leena A1 - Abecasis, Goncalo R A1 - Boehnke, Michael A1 - Kathiresan, Sekar KW - African Americans KW - Animals KW - Asian Continental Ancestry Group KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Coronary Artery Disease KW - Europe KW - European Continental Ancestry Group KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Genotype KW - Humans KW - Lipid Metabolism KW - Lipids KW - Liver KW - Male KW - Mice KW - N-Acetylgalactosaminyltransferases KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Protein Phosphatase 1 KW - Reproducibility of Results KW - Triglycerides AB -

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

VL - 466 IS - 7307 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20686565?dopt=Abstract ER - TY - JOUR T1 - Fucosyltransferase 2 (FUT2) non-secretor status is associated with Crohn's disease. JF - Hum Mol Genet Y1 - 2010 A1 - McGovern, Dermot P B A1 - Jones, Michelle R A1 - Taylor, Kent D A1 - Marciante, Kristin A1 - Yan, Xiaofei A1 - Dubinsky, Marla A1 - Ippoliti, Andy A1 - Vasiliauskas, Eric A1 - Berel, Dror A1 - Derkowski, Carrie A1 - Dutridge, Deb A1 - Fleshner, Phil A1 - Shih, David Q A1 - Melmed, Gil A1 - Mengesha, Emebet A1 - King, Lily A1 - Pressman, Sheila A1 - Haritunians, Talin A1 - Guo, Xiuqing A1 - Targan, Stephan R A1 - Rotter, Jerome I KW - Adolescent KW - Adult KW - Aged KW - Child KW - Child, Preschool KW - Cohort Studies KW - Crohn Disease KW - Female KW - Fucosyltransferases KW - Genome-Wide Association Study KW - Humans KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Young Adult AB -

Genetic variation in both innate and adaptive immune systems is associated with Crohn's disease (CD) susceptibility, but much of the heritability to CD remains unknown. We performed a genome-wide association study (GWAS) in 896 CD cases and 3204 healthy controls all of Caucasian origin as defined by multidimensional scaling. We found supportive evidence for 21 out of 40 CD loci identified in a recent CD GWAS meta-analysis, including two loci which had only nominally achieved replication (rs4807569, 19p13; rs991804, CCL2/CCL7). In addition, we identified associations with genes involved in tight junctions/epithelial integrity (ASHL, ARPC1A), innate immunity (EXOC2), dendritic cell biology [CADM1 (IGSF4)], macrophage development (MMD2), TGF-beta signaling (MAP3K7IP1) and FUT2 (a physiological trait that regulates gastrointestinal mucosal expression of blood group A and B antigens) (rs602662, P=3.4x10(-5)). Twenty percent of Caucasians are 'non-secretors' who do not express ABO antigens in saliva as a result of the FUT2 W134X allele. We demonstrated replication in an independent cohort of 1174 CD cases and 357 controls between the four primary FUT2 single nucleotide polymorphisms (SNPs) and CD (rs602662, combined P-value 4.90x10(-8)) and also association with FUT2 W143X (P=2.6x10(-5)). Further evidence of the relevance of this locus to CD pathogenesis was demonstrated by the association of the original four SNPs and CD in the recently published CD GWAS meta-analysis (rs602662, P=0.001). These findings strongly implicate this locus in CD susceptibility and highlight the role of the mucus layer in the development of CD.

VL - 19 IS - 17 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20570966?dopt=Abstract ER - TY - JOUR T1 - Genetic predictors of medically refractory ulcerative colitis. JF - Inflamm Bowel Dis Y1 - 2010 A1 - Haritunians, Talin A1 - Taylor, Kent D A1 - Targan, Stephan R A1 - Dubinsky, Marla A1 - Ippoliti, Andrew A1 - Kwon, Soonil A1 - Guo, Xiuqing A1 - Melmed, Gil Y A1 - Berel, Dror A1 - Mengesha, Emebet A1 - Psaty, Bruce M A1 - Glazer, Nicole L A1 - Vasiliauskas, Eric A A1 - Rotter, Jerome I A1 - Fleshner, Phillip R A1 - McGovern, Dermot P B KW - Acute Disease KW - Adolescent KW - Adult KW - Cohort Studies KW - Colectomy KW - Colitis, Ulcerative KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Major Histocompatibility Complex KW - Male KW - Polymorphism, Single Nucleotide KW - Risk Factors KW - Severity of Illness Index KW - Tumor Necrosis Factor Ligand Superfamily Member 15 KW - Young Adult AB -

BACKGROUND: Acute severe ulcerative colitis (UC) remains a significant clinical challenge and the ability to predict, at an early stage, those individuals at risk of colectomy for medically refractory UC (MR-UC) would be a major clinical advance. The aim of this study was to use a genome-wide association study (GWAS) in a well-characterized cohort of UC patients to identify genetic variation that contributes to MR-UC.

METHODS: A GWAS comparing 324 MR-UC patients with 537 non-MR-UC patients was analyzed using logistic regression and Cox proportional hazards methods. In addition, the MR-UC patients were compared with 2601 healthy controls.

RESULTS: MR-UC was associated with more extensive disease (P = 2.7 × 10(-6)) and a positive family history of UC (P = 0.004). A risk score based on the combination of 46 single nucleotide polymorphisms (SNPs) associated with MR-UC explained 48% of the variance for colectomy risk in our cohort. Risk scores divided into quarters showed the risk of colectomy to be 0%, 17%, 74%, and 100% in the four groups. Comparison of the MR-UC subjects with healthy controls confirmed the contribution of the major histocompatibility complex to severe UC (peak association: rs17207986, P = 1.4 × 10(-16)) and provided genome-wide suggestive association at the TNFSF15 (TL1A) locus (peak association: rs11554257, P = 1.4 × 10(-6)).

CONCLUSIONS: A SNP-based risk scoring system, identified here by GWAS analyses, may provide a useful adjunct to clinical parameters for predicting the natural history of UC. Furthermore, discovery of genetic processes underlying disease severity may help to identify pathways for novel therapeutic intervention in severe UC.

VL - 16 IS - 11 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20848476?dopt=Abstract ER - TY - JOUR T1 - Genetic predictors of fibrin D-dimer levels in healthy adults. JF - Circulation Y1 - 2011 A1 - Smith, Nicholas L A1 - Huffman, Jennifer E A1 - Strachan, David P A1 - Huang, Jie A1 - Dehghan, Abbas A1 - Trompet, Stella A1 - Lopez, Lorna M A1 - Shin, So-Youn A1 - Baumert, Jens A1 - Vitart, Veronique A1 - Bis, Joshua C A1 - Wild, Sarah H A1 - Rumley, Ann A1 - Yang, Qiong A1 - Uitterlinden, André G A1 - Stott, David J A1 - Davies, Gail A1 - Carter, Angela M A1 - Thorand, Barbara A1 - Polasek, Ozren A1 - McKnight, Barbara A1 - Campbell, Harry A1 - Rudnicka, Alicja R A1 - Chen, Ming-Huei A1 - Buckley, Brendan M A1 - Harris, Sarah E A1 - Peters, Annette A1 - Pulanic, Drazen A1 - Lumley, Thomas A1 - de Craen, Anton J M A1 - Liewald, David C A1 - Gieger, Christian A1 - Campbell, Susan A1 - Ford, Ian A1 - Gow, Alan J A1 - Luciano, Michelle A1 - Porteous, David J A1 - Guo, Xiuqing A1 - Sattar, Naveed A1 - Tenesa, Albert A1 - Cushman, Mary A1 - Slagboom, P Eline A1 - Visscher, Peter M A1 - Spector, Tim D A1 - Illig, Thomas A1 - Rudan, Igor A1 - Bovill, Edwin G A1 - Wright, Alan F A1 - McArdle, Wendy L A1 - Tofler, Geoffrey A1 - Hofman, Albert A1 - Westendorp, Rudi G J A1 - Starr, John M A1 - Grant, Peter J A1 - Karakas, Mahir A1 - Hastie, Nicholas D A1 - Psaty, Bruce M A1 - Wilson, James F A1 - Lowe, Gordon D O A1 - O'Donnell, Christopher J A1 - Witteman, Jacqueline C M A1 - Jukema, J Wouter A1 - Deary, Ian J A1 - Soranzo, Nicole A1 - Koenig, Wolfgang A1 - Hayward, Caroline KW - Adult KW - Aged KW - Blood Coagulation KW - European Continental Ancestry Group KW - Factor V KW - Female KW - Fibrin Fibrinogen Degradation Products KW - Fibrinogen KW - Genetic Testing KW - Genome-Wide Association Study KW - Humans KW - Male KW - Middle Aged KW - Reference Values KW - Thromboplastin AB -

BACKGROUND: Fibrin fragment D-dimer, one of several peptides produced when crosslinked fibrin is degraded by plasmin, is the most widely used clinical marker of activated blood coagulation. To identity genetic loci influencing D-dimer levels, we performed the first large-scale, genome-wide association search.

METHODS AND RESULTS: A genome-wide investigation of the genomic correlates of plasma D-dimer levels was conducted among 21 052 European-ancestry adults. Plasma levels of D-dimer were measured independently in each of 13 cohorts. Each study analyzed the association between ≈2.6 million genotyped and imputed variants across the 22 autosomal chromosomes and natural-log–transformed D-dimer levels using linear regression in additive genetic models adjusted for age and sex. Among all variants, 74 exceeded the genome-wide significance threshold and marked 3 regions. At 1p22, rs12029080 (P=6.4×10(-52)) was 46.0 kb upstream from F3, coagulation factor III (tissue factor). At 1q24, rs6687813 (P=2.4×10(-14)) was 79.7 kb downstream of F5, coagulation factor V. At 4q32, rs13109457 (P=2.9×10(-18)) was located between 2 fibrinogen genes: 10.4 kb downstream from FGG and 3.0 kb upstream from FGA. Variants were associated with a 0.099-, 0.096-, and 0.061-unit difference, respectively, in natural-log–transformed D-dimer and together accounted for 1.8% of the total variance. When adjusted for nonsynonymous substitutions in F5 and FGA loci known to be associated with D-dimer levels, there was no evidence of an additional association at either locus.

CONCLUSIONS: Three genes were associated with fibrin D-dimer levels. Of these 3, the F3 association was the strongest, and has not been previously reported.

VL - 123 IS - 17 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21502573?dopt=Abstract ER - TY - JOUR T1 - Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. JF - Nature Y1 - 2011 A1 - Ehret, Georg B A1 - Munroe, Patricia B A1 - Rice, Kenneth M A1 - Bochud, Murielle A1 - Johnson, Andrew D A1 - Chasman, Daniel I A1 - Smith, Albert V A1 - Tobin, Martin D A1 - Verwoert, Germaine C A1 - Hwang, Shih-Jen A1 - Pihur, Vasyl A1 - Vollenweider, Peter A1 - O'Reilly, Paul F A1 - Amin, Najaf A1 - Bragg-Gresham, Jennifer L A1 - Teumer, Alexander A1 - Glazer, Nicole L A1 - Launer, Lenore A1 - Zhao, Jing Hua A1 - Aulchenko, Yurii A1 - Heath, Simon A1 - Sõber, Siim A1 - Parsa, Afshin A1 - Luan, Jian'an A1 - Arora, Pankaj A1 - Dehghan, Abbas A1 - Zhang, Feng A1 - Lucas, Gavin A1 - Hicks, Andrew A A1 - Jackson, Anne U A1 - Peden, John F A1 - Tanaka, Toshiko A1 - Wild, Sarah H A1 - Rudan, Igor A1 - Igl, Wilmar A1 - Milaneschi, Yuri A1 - Parker, Alex N A1 - Fava, Cristiano A1 - Chambers, John C A1 - Fox, Ervin R A1 - Kumari, Meena A1 - Go, Min Jin A1 - van der Harst, Pim A1 - Kao, Wen Hong Linda A1 - Sjögren, Marketa A1 - Vinay, D G A1 - Alexander, Myriam A1 - Tabara, Yasuharu A1 - Shaw-Hawkins, Sue A1 - Whincup, Peter H A1 - Liu, Yongmei A1 - Shi, Gang A1 - Kuusisto, Johanna A1 - Tayo, Bamidele A1 - Seielstad, Mark A1 - Sim, Xueling A1 - Nguyen, Khanh-Dung Hoang A1 - Lehtimäki, Terho A1 - Matullo, Giuseppe A1 - Wu, Ying A1 - Gaunt, Tom R A1 - Onland-Moret, N Charlotte A1 - Cooper, Matthew N A1 - Platou, Carl G P A1 - Org, Elin A1 - Hardy, Rebecca A1 - Dahgam, Santosh A1 - Palmen, Jutta A1 - Vitart, Veronique A1 - Braund, Peter S A1 - Kuznetsova, Tatiana A1 - Uiterwaal, Cuno S P M A1 - Adeyemo, Adebowale A1 - Palmas, Walter A1 - Campbell, Harry A1 - Ludwig, Barbara A1 - Tomaszewski, Maciej A1 - Tzoulaki, Ioanna A1 - Palmer, Nicholette D A1 - Aspelund, Thor A1 - Garcia, Melissa A1 - Chang, Yen-Pei C A1 - O'Connell, Jeffrey R A1 - Steinle, Nanette I A1 - Grobbee, Diederick E A1 - Arking, Dan E A1 - Kardia, Sharon L A1 - Morrison, Alanna C A1 - Hernandez, Dena A1 - Najjar, Samer A1 - McArdle, Wendy L A1 - Hadley, David A1 - Brown, Morris J A1 - Connell, John M A1 - Hingorani, Aroon D A1 - Day, Ian N M A1 - Lawlor, Debbie A A1 - Beilby, John P A1 - Lawrence, Robert W A1 - Clarke, Robert A1 - Hopewell, Jemma C A1 - Ongen, Halit A1 - Dreisbach, Albert W A1 - Li, Yali A1 - Young, J Hunter A1 - Bis, Joshua C A1 - Kähönen, Mika A1 - Viikari, Jorma A1 - Adair, Linda S A1 - Lee, Nanette R A1 - Chen, Ming-Huei A1 - Olden, Matthias A1 - Pattaro, Cristian A1 - Bolton, Judith A Hoffman A1 - Köttgen, Anna A1 - Bergmann, Sven A1 - Mooser, Vincent A1 - Chaturvedi, Nish A1 - Frayling, Timothy M A1 - Islam, Muhammad A1 - Jafar, Tazeen H A1 - Erdmann, Jeanette A1 - Kulkarni, Smita R A1 - Bornstein, Stefan R A1 - Grässler, Jürgen A1 - Groop, Leif A1 - Voight, Benjamin F A1 - Kettunen, Johannes A1 - Howard, Philip A1 - Taylor, Andrew A1 - Guarrera, Simonetta A1 - Ricceri, Fulvio A1 - Emilsson, Valur A1 - Plump, Andrew A1 - Barroso, Inês A1 - Khaw, Kay-Tee A1 - Weder, Alan B A1 - Hunt, Steven C A1 - Sun, Yan V A1 - Bergman, Richard N A1 - Collins, Francis S A1 - Bonnycastle, Lori L A1 - Scott, Laura J A1 - Stringham, Heather M A1 - Peltonen, Leena A1 - Perola, Markus A1 - Vartiainen, Erkki A1 - Brand, Stefan-Martin A1 - Staessen, Jan A A1 - Wang, Thomas J A1 - Burton, Paul R A1 - Soler Artigas, Maria A1 - Dong, Yanbin A1 - Snieder, Harold A1 - Wang, Xiaoling A1 - Zhu, Haidong A1 - Lohman, Kurt K A1 - Rudock, Megan E A1 - Heckbert, Susan R A1 - Smith, Nicholas L A1 - Wiggins, Kerri L A1 - Doumatey, Ayo A1 - Shriner, Daniel A1 - Veldre, Gudrun A1 - Viigimaa, Margus A1 - Kinra, Sanjay A1 - Prabhakaran, Dorairaj A1 - Tripathy, Vikal A1 - Langefeld, Carl D A1 - Rosengren, Annika A1 - Thelle, Dag S A1 - Corsi, Anna Maria A1 - Singleton, Andrew A1 - Forrester, Terrence A1 - Hilton, Gina A1 - McKenzie, Colin A A1 - Salako, Tunde A1 - Iwai, Naoharu A1 - Kita, Yoshikuni A1 - Ogihara, Toshio A1 - Ohkubo, Takayoshi A1 - Okamura, Tomonori A1 - Ueshima, Hirotsugu A1 - Umemura, Satoshi A1 - Eyheramendy, Susana A1 - Meitinger, Thomas A1 - Wichmann, H-Erich A1 - Cho, Yoon Shin A1 - Kim, Hyung-Lae A1 - Lee, Jong-Young A1 - Scott, James A1 - Sehmi, Joban S A1 - Zhang, Weihua A1 - Hedblad, Bo A1 - Nilsson, Peter A1 - Smith, George Davey A1 - Wong, Andrew A1 - Narisu, Narisu A1 - Stančáková, Alena A1 - Raffel, Leslie J A1 - Yao, Jie A1 - Kathiresan, Sekar A1 - O'Donnell, Christopher J A1 - Schwartz, Stephen M A1 - Ikram, M Arfan A1 - Longstreth, W T A1 - Mosley, Thomas H A1 - Seshadri, Sudha A1 - Shrine, Nick R G A1 - Wain, Louise V A1 - Morken, Mario A A1 - Swift, Amy J A1 - Laitinen, Jaana A1 - Prokopenko, Inga A1 - Zitting, Paavo A1 - Cooper, Jackie A A1 - Humphries, Steve E A1 - Danesh, John A1 - Rasheed, Asif A1 - Goel, Anuj A1 - Hamsten, Anders A1 - Watkins, Hugh A1 - Bakker, Stephan J L A1 - van Gilst, Wiek H A1 - Janipalli, Charles S A1 - Mani, K Radha A1 - Yajnik, Chittaranjan S A1 - Hofman, Albert A1 - Mattace-Raso, Francesco U S A1 - Oostra, Ben A A1 - Demirkan, Ayse A1 - Isaacs, Aaron A1 - Rivadeneira, Fernando A1 - Lakatta, Edward G A1 - Orrù, Marco A1 - Scuteri, Angelo A1 - Ala-Korpela, Mika A1 - Kangas, Antti J A1 - Lyytikäinen, Leo-Pekka A1 - Soininen, Pasi A1 - Tukiainen, Taru A1 - Würtz, Peter A1 - Ong, Rick Twee-Hee A1 - Dörr, Marcus A1 - Kroemer, Heyo K A1 - Völker, Uwe A1 - Völzke, Henry A1 - Galan, Pilar A1 - Hercberg, Serge A1 - Lathrop, Mark A1 - Zelenika, Diana A1 - Deloukas, Panos A1 - Mangino, Massimo A1 - Spector, Tim D A1 - Zhai, Guangju A1 - Meschia, James F A1 - Nalls, Michael A A1 - Sharma, Pankaj A1 - Terzic, Janos A1 - Kumar, M V Kranthi A1 - Denniff, Matthew A1 - Zukowska-Szczechowska, Ewa A1 - Wagenknecht, Lynne E A1 - Fowkes, F Gerald R A1 - Charchar, Fadi J A1 - Schwarz, Peter E H A1 - Hayward, Caroline A1 - Guo, Xiuqing A1 - Rotimi, Charles A1 - Bots, Michiel L A1 - Brand, Eva A1 - Samani, Nilesh J A1 - Polasek, Ozren A1 - Talmud, Philippa J A1 - Nyberg, Fredrik A1 - Kuh, Diana A1 - Laan, Maris A1 - Hveem, Kristian A1 - Palmer, Lyle J A1 - van der Schouw, Yvonne T A1 - Casas, Juan P A1 - Mohlke, Karen L A1 - Vineis, Paolo A1 - Raitakari, Olli A1 - Ganesh, Santhi K A1 - Wong, Tien Y A1 - Tai, E Shyong A1 - Cooper, Richard S A1 - Laakso, Markku A1 - Rao, Dabeeru C A1 - Harris, Tamara B A1 - Morris, Richard W A1 - Dominiczak, Anna F A1 - Kivimaki, Mika A1 - Marmot, Michael G A1 - Miki, Tetsuro A1 - Saleheen, Danish A1 - Chandak, Giriraj R A1 - Coresh, Josef A1 - Navis, Gerjan A1 - Salomaa, Veikko A1 - Han, Bok-Ghee A1 - Zhu, Xiaofeng A1 - Kooner, Jaspal S A1 - Melander, Olle A1 - Ridker, Paul M A1 - Bandinelli, Stefania A1 - Gyllensten, Ulf B A1 - Wright, Alan F A1 - Wilson, James F A1 - Ferrucci, Luigi A1 - Farrall, Martin A1 - Tuomilehto, Jaakko A1 - Pramstaller, Peter P A1 - Elosua, Roberto A1 - Soranzo, Nicole A1 - Sijbrands, Eric J G A1 - Altshuler, David A1 - Loos, Ruth J F A1 - Shuldiner, Alan R A1 - Gieger, Christian A1 - Meneton, Pierre A1 - Uitterlinden, André G A1 - Wareham, Nicholas J A1 - Gudnason, Vilmundur A1 - Rotter, Jerome I A1 - Rettig, Rainer A1 - Uda, Manuela A1 - Strachan, David P A1 - Witteman, Jacqueline C M A1 - Hartikainen, Anna-Liisa A1 - Beckmann, Jacques S A1 - Boerwinkle, Eric A1 - Vasan, Ramachandran S A1 - Boehnke, Michael A1 - Larson, Martin G A1 - Jarvelin, Marjo-Riitta A1 - Psaty, Bruce M A1 - Abecasis, Goncalo R A1 - Chakravarti, Aravinda A1 - Elliott, Paul A1 - van Duijn, Cornelia M A1 - Newton-Cheh, Christopher A1 - Levy, Daniel A1 - Caulfield, Mark J A1 - Johnson, Toby KW - Africa KW - Asia KW - Blood Pressure KW - Cardiovascular Diseases KW - Coronary Artery Disease KW - Europe KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Hypertension KW - Kidney Diseases KW - Polymorphism, Single Nucleotide KW - Stroke AB -

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

VL - 478 IS - 7367 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21909115?dopt=Abstract ER - TY - JOUR T1 - Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure. JF - Nat Genet Y1 - 2011 A1 - Wain, Louise V A1 - Verwoert, Germaine C A1 - O'Reilly, Paul F A1 - Shi, Gang A1 - Johnson, Toby A1 - Johnson, Andrew D A1 - Bochud, Murielle A1 - Rice, Kenneth M A1 - Henneman, Peter A1 - Smith, Albert V A1 - Ehret, Georg B A1 - Amin, Najaf A1 - Larson, Martin G A1 - Mooser, Vincent A1 - Hadley, David A1 - Dörr, Marcus A1 - Bis, Joshua C A1 - Aspelund, Thor A1 - Esko, Tõnu A1 - Janssens, A Cecile J W A1 - Zhao, Jing Hua A1 - Heath, Simon A1 - Laan, Maris A1 - Fu, Jingyuan A1 - Pistis, Giorgio A1 - Luan, Jian'an A1 - Arora, Pankaj A1 - Lucas, Gavin A1 - Pirastu, Nicola A1 - Pichler, Irene A1 - Jackson, Anne U A1 - Webster, Rebecca J A1 - Zhang, Feng A1 - Peden, John F A1 - Schmidt, Helena A1 - Tanaka, Toshiko A1 - Campbell, Harry A1 - Igl, Wilmar A1 - Milaneschi, Yuri A1 - Hottenga, Jouke-Jan A1 - Vitart, Veronique A1 - Chasman, Daniel I A1 - Trompet, Stella A1 - Bragg-Gresham, Jennifer L A1 - Alizadeh, Behrooz Z A1 - Chambers, John C A1 - Guo, Xiuqing A1 - Lehtimäki, Terho A1 - Kuhnel, Brigitte A1 - Lopez, Lorna M A1 - Polasek, Ozren A1 - Boban, Mladen A1 - Nelson, Christopher P A1 - Morrison, Alanna C A1 - Pihur, Vasyl A1 - Ganesh, Santhi K A1 - Hofman, Albert A1 - Kundu, Suman A1 - Mattace-Raso, Francesco U S A1 - Rivadeneira, Fernando A1 - Sijbrands, Eric J G A1 - Uitterlinden, André G A1 - Hwang, Shih-Jen A1 - Vasan, Ramachandran S A1 - Wang, Thomas J A1 - Bergmann, Sven A1 - Vollenweider, Peter A1 - Waeber, Gérard A1 - Laitinen, Jaana A1 - Pouta, Anneli A1 - Zitting, Paavo A1 - McArdle, Wendy L A1 - Kroemer, Heyo K A1 - Völker, Uwe A1 - Völzke, Henry A1 - Glazer, Nicole L A1 - Taylor, Kent D A1 - Harris, Tamara B A1 - Alavere, Helene A1 - Haller, Toomas A1 - Keis, Aime A1 - Tammesoo, Mari-Liis A1 - Aulchenko, Yurii A1 - Barroso, Inês A1 - Khaw, Kay-Tee A1 - Galan, Pilar A1 - Hercberg, Serge A1 - Lathrop, Mark A1 - Eyheramendy, Susana A1 - Org, Elin A1 - Sõber, Siim A1 - Lu, Xiaowen A1 - Nolte, Ilja M A1 - Penninx, Brenda W A1 - Corre, Tanguy A1 - Masciullo, Corrado A1 - Sala, Cinzia A1 - Groop, Leif A1 - Voight, Benjamin F A1 - Melander, Olle A1 - O'Donnell, Christopher J A1 - Salomaa, Veikko A1 - d'Adamo, Adamo Pio A1 - Fabretto, Antonella A1 - Faletra, Flavio A1 - Ulivi, Sheila A1 - Del Greco, Fabiola M A1 - Facheris, Maurizio A1 - Collins, Francis S A1 - Bergman, Richard N A1 - Beilby, John P A1 - Hung, Joseph A1 - Musk, A William A1 - Mangino, Massimo A1 - Shin, So-Youn A1 - Soranzo, Nicole A1 - Watkins, Hugh A1 - Goel, Anuj A1 - Hamsten, Anders A1 - Gider, Pierre A1 - Loitfelder, Marisa A1 - Zeginigg, Marion A1 - Hernandez, Dena A1 - Najjar, Samer S A1 - Navarro, Pau A1 - Wild, Sarah H A1 - Corsi, Anna Maria A1 - Singleton, Andrew A1 - de Geus, Eco J C A1 - Willemsen, Gonneke A1 - Parker, Alex N A1 - Rose, Lynda M A1 - Buckley, Brendan A1 - Stott, David A1 - Orrù, Marco A1 - Uda, Manuela A1 - van der Klauw, Melanie M A1 - Zhang, Weihua A1 - Li, Xinzhong A1 - Scott, James A1 - Chen, Yii-Der Ida A1 - Burke, Gregory L A1 - Kähönen, Mika A1 - Viikari, Jorma A1 - Döring, Angela A1 - Meitinger, Thomas A1 - Davies, Gail A1 - Starr, John M A1 - Emilsson, Valur A1 - Plump, Andrew A1 - Lindeman, Jan H A1 - Hoen, Peter A C 't A1 - König, Inke R A1 - Felix, Janine F A1 - Clarke, Robert A1 - Hopewell, Jemma C A1 - Ongen, Halit A1 - Breteler, Monique A1 - Debette, Stephanie A1 - DeStefano, Anita L A1 - Fornage, Myriam A1 - Mitchell, Gary F A1 - Smith, Nicholas L A1 - Holm, Hilma A1 - Stefansson, Kari A1 - Thorleifsson, Gudmar A1 - Thorsteinsdottir, Unnur A1 - Samani, Nilesh J A1 - Preuss, Michael A1 - Rudan, Igor A1 - Hayward, Caroline A1 - Deary, Ian J A1 - Wichmann, H-Erich A1 - Raitakari, Olli T A1 - Palmas, Walter A1 - Kooner, Jaspal S A1 - Stolk, Ronald P A1 - Jukema, J Wouter A1 - Wright, Alan F A1 - Boomsma, Dorret I A1 - Bandinelli, Stefania A1 - Gyllensten, Ulf B A1 - Wilson, James F A1 - Ferrucci, Luigi A1 - Schmidt, Reinhold A1 - Farrall, Martin A1 - Spector, Tim D A1 - Palmer, Lyle J A1 - Tuomilehto, Jaakko A1 - Pfeufer, Arne A1 - Gasparini, Paolo A1 - Siscovick, David A1 - Altshuler, David A1 - Loos, Ruth J F A1 - Toniolo, Daniela A1 - Snieder, Harold A1 - Gieger, Christian A1 - Meneton, Pierre A1 - Wareham, Nicholas J A1 - Oostra, Ben A A1 - Metspalu, Andres A1 - Launer, Lenore A1 - Rettig, Rainer A1 - Strachan, David P A1 - Beckmann, Jacques S A1 - Witteman, Jacqueline C M A1 - Erdmann, Jeanette A1 - van Dijk, Ko Willems A1 - Boerwinkle, Eric A1 - Boehnke, Michael A1 - Ridker, Paul M A1 - Jarvelin, Marjo-Riitta A1 - Chakravarti, Aravinda A1 - Abecasis, Goncalo R A1 - Gudnason, Vilmundur A1 - Newton-Cheh, Christopher A1 - Levy, Daniel A1 - Munroe, Patricia B A1 - Psaty, Bruce M A1 - Caulfield, Mark J A1 - Rao, Dabeeru C A1 - Tobin, Martin D A1 - Elliott, Paul A1 - van Duijn, Cornelia M KW - Arteries KW - Blood Pressure KW - Case-Control Studies KW - Follow-Up Studies KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Hypertension KW - Linkage Disequilibrium KW - Polymorphism, Single Nucleotide AB -

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

VL - 43 IS - 10 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21909110?dopt=Abstract ER - TY - JOUR T1 - Meta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels. JF - Circulation Y1 - 2011 A1 - Dehghan, Abbas A1 - Dupuis, Josée A1 - Barbalic, Maja A1 - Bis, Joshua C A1 - Eiriksdottir, Gudny A1 - Lu, Chen A1 - Pellikka, Niina A1 - Wallaschofski, Henri A1 - Kettunen, Johannes A1 - Henneman, Peter A1 - Baumert, Jens A1 - Strachan, David P A1 - Fuchsberger, Christian A1 - Vitart, Veronique A1 - Wilson, James F A1 - Paré, Guillaume A1 - Naitza, Silvia A1 - Rudock, Megan E A1 - Surakka, Ida A1 - de Geus, Eco J C A1 - Alizadeh, Behrooz Z A1 - Guralnik, Jack A1 - Shuldiner, Alan A1 - Tanaka, Toshiko A1 - Zee, Robert Y L A1 - Schnabel, Renate B A1 - Nambi, Vijay A1 - Kavousi, Maryam A1 - Ripatti, Samuli A1 - Nauck, Matthias A1 - Smith, Nicholas L A1 - Smith, Albert V A1 - Sundvall, Jouko A1 - Scheet, Paul A1 - Liu, Yongmei A1 - Ruokonen, Aimo A1 - Rose, Lynda M A1 - Larson, Martin G A1 - Hoogeveen, Ron C A1 - Freimer, Nelson B A1 - Teumer, Alexander A1 - Tracy, Russell P A1 - Launer, Lenore J A1 - Buring, Julie E A1 - Yamamoto, Jennifer F A1 - Folsom, Aaron R A1 - Sijbrands, Eric J G A1 - Pankow, James A1 - Elliott, Paul A1 - Keaney, John F A1 - Sun, Wei A1 - Sarin, Antti-Pekka A1 - Fontes, João D A1 - Badola, Sunita A1 - Astor, Brad C A1 - Hofman, Albert A1 - Pouta, Anneli A1 - Werdan, Karl A1 - Greiser, Karin H A1 - Kuss, Oliver A1 - Meyer zu Schwabedissen, Henriette E A1 - Thiery, Joachim A1 - Jamshidi, Yalda A1 - Nolte, Ilja M A1 - Soranzo, Nicole A1 - Spector, Timothy D A1 - Völzke, Henry A1 - Parker, Alexander N A1 - Aspelund, Thor A1 - Bates, David A1 - Young, Lauren A1 - Tsui, Kim A1 - Siscovick, David S A1 - Guo, Xiuqing A1 - Rotter, Jerome I A1 - Uda, Manuela A1 - Schlessinger, David A1 - Rudan, Igor A1 - Hicks, Andrew A A1 - Penninx, Brenda W A1 - Thorand, Barbara A1 - Gieger, Christian A1 - Coresh, Joe A1 - Willemsen, Gonneke A1 - Harris, Tamara B A1 - Uitterlinden, André G A1 - Jarvelin, Marjo-Riitta A1 - Rice, Kenneth A1 - Radke, Dörte A1 - Salomaa, Veikko A1 - Willems van Dijk, Ko A1 - Boerwinkle, Eric A1 - Vasan, Ramachandran S A1 - Ferrucci, Luigi A1 - Gibson, Quince D A1 - Bandinelli, Stefania A1 - Snieder, Harold A1 - Boomsma, Dorret I A1 - Xiao, Xiangjun A1 - Campbell, Harry A1 - Hayward, Caroline A1 - Pramstaller, Peter P A1 - van Duijn, Cornelia M A1 - Peltonen, Leena A1 - Psaty, Bruce M A1 - Gudnason, Vilmundur A1 - Ridker, Paul M A1 - Homuth, Georg A1 - Koenig, Wolfgang A1 - Ballantyne, Christie M A1 - Witteman, Jacqueline C M A1 - Benjamin, Emelia J A1 - Perola, Markus A1 - Chasman, Daniel I KW - Biomarkers KW - C-Reactive Protein KW - Cardiovascular Diseases KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Risk Factors KW - Vasculitis AB -

BACKGROUND: C-reactive protein (CRP) is a heritable marker of chronic inflammation that is strongly associated with cardiovascular disease. We sought to identify genetic variants that are associated with CRP levels.

METHODS AND RESULTS: We performed a genome-wide association analysis of CRP in 66 185 participants from 15 population-based studies. We sought replication for the genome-wide significant and suggestive loci in a replication panel comprising 16 540 individuals from 10 independent studies. We found 18 genome-wide significant loci, and we provided evidence of replication for 8 of them. Our results confirm 7 previously known loci and introduce 11 novel loci that are implicated in pathways related to the metabolic syndrome (APOC1, HNF1A, LEPR, GCKR, HNF4A, and PTPN2) or the immune system (CRP, IL6R, NLRP3, IL1F10, and IRF1) or that reside in regions previously not known to play a role in chronic inflammation (PPP1R3B, SALL1, PABPC4, ASCL1, RORA, and BCL7B). We found a significant interaction of body mass index with LEPR (P<2.9×10(-6)). A weighted genetic risk score that was developed to summarize the effect of risk alleles was strongly associated with CRP levels and explained ≈5% of the trait variance; however, there was no evidence for these genetic variants explaining the association of CRP with coronary heart disease.

CONCLUSIONS: We identified 18 loci that were associated with CRP levels. Our study highlights immune response and metabolic regulatory pathways involved in the regulation of chronic inflammation.

VL - 123 IS - 7 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21300955?dopt=Abstract ER - TY - JOUR T1 - Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. JF - PLoS Genet Y1 - 2012 A1 - Dastani, Zari A1 - Hivert, Marie-France A1 - Timpson, Nicholas A1 - Perry, John R B A1 - Yuan, Xin A1 - Scott, Robert A A1 - Henneman, Peter A1 - Heid, Iris M A1 - Kizer, Jorge R A1 - Lyytikäinen, Leo-Pekka A1 - Fuchsberger, Christian A1 - Tanaka, Toshiko A1 - Morris, Andrew P A1 - Small, Kerrin A1 - Isaacs, Aaron A1 - Beekman, Marian A1 - Coassin, Stefan A1 - Lohman, Kurt A1 - Qi, Lu A1 - Kanoni, Stavroula A1 - Pankow, James S A1 - Uh, Hae-Won A1 - Wu, Ying A1 - Bidulescu, Aurelian A1 - Rasmussen-Torvik, Laura J A1 - Greenwood, Celia M T A1 - Ladouceur, Martin A1 - Grimsby, Jonna A1 - Manning, Alisa K A1 - Liu, Ching-Ti A1 - Kooner, Jaspal A1 - Mooser, Vincent E A1 - Vollenweider, Peter A1 - Kapur, Karen A A1 - Chambers, John A1 - Wareham, Nicholas J A1 - Langenberg, Claudia A1 - Frants, Rune A1 - Willems-Vandijk, Ko A1 - Oostra, Ben A A1 - Willems, Sara M A1 - Lamina, Claudia A1 - Winkler, Thomas W A1 - Psaty, Bruce M A1 - Tracy, Russell P A1 - Brody, Jennifer A1 - Chen, Ida A1 - Viikari, Jorma A1 - Kähönen, Mika A1 - Pramstaller, Peter P A1 - Evans, David M A1 - St Pourcain, Beate A1 - Sattar, Naveed A1 - Wood, Andrew R A1 - Bandinelli, Stefania A1 - Carlson, Olga D A1 - Egan, Josephine M A1 - Böhringer, Stefan A1 - van Heemst, Diana A1 - Kedenko, Lyudmyla A1 - Kristiansson, Kati A1 - Nuotio, Marja-Liisa A1 - Loo, Britt-Marie A1 - Harris, Tamara A1 - Garcia, Melissa A1 - Kanaya, Alka A1 - Haun, Margot A1 - Klopp, Norman A1 - Wichmann, H-Erich A1 - Deloukas, Panos A1 - Katsareli, Efi A1 - Couper, David J A1 - Duncan, Bruce B A1 - Kloppenburg, Margreet A1 - Adair, Linda S A1 - Borja, Judith B A1 - Wilson, James G A1 - Musani, Solomon A1 - Guo, Xiuqing A1 - Johnson, Toby A1 - Semple, Robert A1 - Teslovich, Tanya M A1 - Allison, Matthew A A1 - Redline, Susan A1 - Buxbaum, Sarah G A1 - Mohlke, Karen L A1 - Meulenbelt, Ingrid A1 - Ballantyne, Christie M A1 - Dedoussis, George V A1 - Hu, Frank B A1 - Liu, Yongmei A1 - Paulweber, Bernhard A1 - Spector, Timothy D A1 - Slagboom, P Eline A1 - Ferrucci, Luigi A1 - Jula, Antti A1 - Perola, Markus A1 - Raitakari, Olli A1 - Florez, Jose C A1 - Salomaa, Veikko A1 - Eriksson, Johan G A1 - Frayling, Timothy M A1 - Hicks, Andrew A A1 - Lehtimäki, Terho A1 - Smith, George Davey A1 - Siscovick, David S A1 - Kronenberg, Florian A1 - van Duijn, Cornelia A1 - Loos, Ruth J F A1 - Waterworth, Dawn M A1 - Meigs, James B A1 - Dupuis, Josée A1 - Richards, J Brent A1 - Voight, Benjamin F A1 - Scott, Laura J A1 - Steinthorsdottir, Valgerdur A1 - Dina, Christian A1 - Welch, Ryan P A1 - Zeggini, Eleftheria A1 - Huth, Cornelia A1 - Aulchenko, Yurii S A1 - Thorleifsson, Gudmar A1 - McCulloch, Laura J A1 - Ferreira, Teresa A1 - Grallert, Harald A1 - Amin, Najaf A1 - Wu, Guanming A1 - Willer, Cristen J A1 - Raychaudhuri, Soumya A1 - McCarroll, Steve A A1 - Hofmann, Oliver M A1 - Segrè, Ayellet V A1 - van Hoek, Mandy A1 - Navarro, Pau A1 - Ardlie, Kristin A1 - Balkau, Beverley A1 - Benediktsson, Rafn A1 - Bennett, Amanda J A1 - Blagieva, Roza A1 - Boerwinkle, Eric A1 - Bonnycastle, Lori L A1 - Boström, Kristina Bengtsson A1 - Bravenboer, Bert A1 - Bumpstead, Suzannah A1 - Burtt, Noel P A1 - Charpentier, Guillaume A1 - Chines, Peter S A1 - Cornelis, Marilyn A1 - Crawford, Gabe A1 - Doney, Alex S F A1 - Elliott, Katherine S A1 - Elliott, Amanda L A1 - Erdos, Michael R A1 - Fox, Caroline S A1 - Franklin, Christopher S A1 - Ganser, Martha A1 - Gieger, Christian A1 - Grarup, Niels A1 - Green, Todd A1 - Griffin, Simon A1 - Groves, Christopher J A1 - Guiducci, Candace A1 - Hadjadj, Samy A1 - Hassanali, Neelam A1 - Herder, Christian A1 - Isomaa, Bo A1 - Jackson, Anne U A1 - Johnson, Paul R V A1 - Jørgensen, Torben A1 - Kao, Wen H L A1 - Kong, Augustine A1 - Kraft, Peter A1 - Kuusisto, Johanna A1 - Lauritzen, Torsten A1 - Li, Man A1 - Lieverse, Aloysius A1 - Lindgren, Cecilia M A1 - Lyssenko, Valeriya A1 - Marre, Michel A1 - Meitinger, Thomas A1 - Midthjell, Kristian A1 - Morken, Mario A A1 - Narisu, Narisu A1 - Nilsson, Peter A1 - Owen, Katharine R A1 - Payne, Felicity A1 - Petersen, Ann-Kristin A1 - Platou, Carl A1 - Proença, Christine A1 - Prokopenko, Inga A1 - Rathmann, Wolfgang A1 - Rayner, N William A1 - Robertson, Neil R A1 - Rocheleau, Ghislain A1 - Roden, Michael A1 - Sampson, Michael J A1 - Saxena, Richa A1 - Shields, Beverley M A1 - Shrader, Peter A1 - Sigurdsson, Gunnar A1 - Sparsø, Thomas A1 - Strassburger, Klaus A1 - Stringham, Heather M A1 - Sun, Qi A1 - Swift, Amy J A1 - Thorand, Barbara A1 - Tichet, Jean A1 - Tuomi, Tiinamaija A1 - van Dam, Rob M A1 - van Haeften, Timon W A1 - van Herpt, Thijs A1 - van Vliet-Ostaptchouk, Jana V A1 - Walters, G Bragi A1 - Weedon, Michael N A1 - Wijmenga, Cisca A1 - Witteman, Jacqueline A1 - Bergman, Richard N A1 - Cauchi, Stephane A1 - Collins, Francis S A1 - Gloyn, Anna L A1 - Gyllensten, Ulf A1 - Hansen, Torben A1 - Hide, Winston A A1 - Hitman, Graham A A1 - Hofman, Albert A1 - Hunter, David J A1 - Hveem, Kristian A1 - Laakso, Markku A1 - Morris, Andrew D A1 - Palmer, Colin N A A1 - Rudan, Igor A1 - Sijbrands, Eric A1 - Stein, Lincoln D A1 - Tuomilehto, Jaakko A1 - Uitterlinden, Andre A1 - Walker, Mark A1 - Watanabe, Richard M A1 - Abecasis, Goncalo R A1 - Boehm, Bernhard O A1 - Campbell, Harry A1 - Daly, Mark J A1 - Hattersley, Andrew T A1 - Pedersen, Oluf A1 - Barroso, Inês A1 - Groop, Leif A1 - Sladek, Rob A1 - Thorsteinsdottir, Unnur A1 - Wilson, James F A1 - Illig, Thomas A1 - Froguel, Philippe A1 - van Duijn, Cornelia M A1 - Stefansson, Kari A1 - Altshuler, David A1 - Boehnke, Michael A1 - McCarthy, Mark I A1 - Soranzo, Nicole A1 - Wheeler, Eleanor A1 - Glazer, Nicole L A1 - Bouatia-Naji, Nabila A1 - Mägi, Reedik A1 - Randall, Joshua A1 - Elliott, Paul A1 - Rybin, Denis A1 - Dehghan, Abbas A1 - Hottenga, Jouke Jan A1 - Song, Kijoung A1 - Goel, Anuj A1 - Lajunen, Taina A1 - Doney, Alex A1 - Cavalcanti-Proença, Christine A1 - Kumari, Meena A1 - Timpson, Nicholas J A1 - Zabena, Carina A1 - Ingelsson, Erik A1 - An, Ping A1 - O'Connell, Jeffrey A1 - Luan, Jian'an A1 - Elliott, Amanda A1 - McCarroll, Steven A A1 - Roccasecca, Rosa Maria A1 - Pattou, François A1 - Sethupathy, Praveen A1 - Ariyurek, Yavuz A1 - Barter, Philip A1 - Beilby, John P A1 - Ben-Shlomo, Yoav A1 - Bergmann, Sven A1 - Bochud, Murielle A1 - Bonnefond, Amélie A1 - Borch-Johnsen, Knut A1 - Böttcher, Yvonne A1 - Brunner, Eric A1 - Bumpstead, Suzannah J A1 - Chen, Yii-Der Ida A1 - Chines, Peter A1 - Clarke, Robert A1 - Coin, Lachlan J M A1 - Cooper, Matthew N A1 - Crisponi, Laura A1 - Day, Ian N M A1 - de Geus, Eco J C A1 - Delplanque, Jerome A1 - Fedson, Annette C A1 - Fischer-Rosinsky, Antje A1 - Forouhi, Nita G A1 - Franzosi, Maria Grazia A1 - Galan, Pilar A1 - Goodarzi, Mark O A1 - Graessler, Jürgen A1 - Grundy, Scott A1 - Gwilliam, Rhian A1 - Hallmans, Göran A1 - Hammond, Naomi A1 - Han, Xijing A1 - Hartikainen, Anna-Liisa A1 - Hayward, Caroline A1 - Heath, Simon C A1 - Hercberg, Serge A1 - Hillman, David R A1 - Hingorani, Aroon D A1 - Hui, Jennie A1 - Hung, Joe A1 - Kaakinen, Marika A1 - Kaprio, Jaakko A1 - Kesaniemi, Y Antero A1 - Kivimaki, Mika A1 - Knight, Beatrice A1 - Koskinen, Seppo A1 - Kovacs, Peter A1 - Kyvik, Kirsten Ohm A1 - Lathrop, G Mark A1 - Lawlor, Debbie A A1 - Le Bacquer, Olivier A1 - Lecoeur, Cécile A1 - Li, Yun A1 - Mahley, Robert A1 - Mangino, Massimo A1 - Martínez-Larrad, María Teresa A1 - McAteer, Jarred B A1 - McPherson, Ruth A1 - Meisinger, Christa A1 - Melzer, David A1 - Meyre, David A1 - Mitchell, Braxton D A1 - Mukherjee, Sutapa A1 - Naitza, Silvia A1 - Neville, Matthew J A1 - Orrù, Marco A1 - Pakyz, Ruth A1 - Paolisso, Giuseppe A1 - Pattaro, Cristian A1 - Pearson, Daniel A1 - Peden, John F A1 - Pedersen, Nancy L A1 - Pfeiffer, Andreas F H A1 - Pichler, Irene A1 - Polasek, Ozren A1 - Posthuma, Danielle A1 - Potter, Simon C A1 - Pouta, Anneli A1 - Province, Michael A A1 - Rayner, Nigel W A1 - Rice, Kenneth A1 - Ripatti, Samuli A1 - Rivadeneira, Fernando A1 - Rolandsson, Olov A1 - Sandbaek, Annelli A1 - Sandhu, Manjinder A1 - Sanna, Serena A1 - Sayer, Avan Aihie A1 - Scheet, Paul A1 - Seedorf, Udo A1 - Sharp, Stephen J A1 - Shields, Beverley A1 - Sigurðsson, Gunnar A1 - Sijbrands, Eric J G A1 - Silveira, Angela A1 - Simpson, Laila A1 - Singleton, Andrew A1 - Smith, Nicholas L A1 - Sovio, Ulla A1 - Swift, Amy A1 - Syddall, Holly A1 - Syvänen, Ann-Christine A1 - Tönjes, Anke A1 - Uitterlinden, André G A1 - van Dijk, Ko Willems A1 - Varma, Dhiraj A1 - Visvikis-Siest, Sophie A1 - Vitart, Veronique A1 - Vogelzangs, Nicole A1 - Waeber, Gérard A1 - Wagner, Peter J A1 - Walley, Andrew A1 - Ward, Kim L A1 - Watkins, Hugh A1 - Wild, Sarah H A1 - Willemsen, Gonneke A1 - Witteman, Jaqueline C M A1 - Yarnell, John W G A1 - Zelenika, Diana A1 - Zethelius, Björn A1 - Zhai, Guangju A1 - Zhao, Jing Hua A1 - Zillikens, M Carola A1 - Borecki, Ingrid B A1 - Meneton, Pierre A1 - Magnusson, Patrik K E A1 - Nathan, David M A1 - Williams, Gordon H A1 - Silander, Kaisa A1 - Bornstein, Stefan R A1 - Schwarz, Peter A1 - Spranger, Joachim A1 - Karpe, Fredrik A1 - Shuldiner, Alan R A1 - Cooper, Cyrus A1 - Serrano-Ríos, Manuel A1 - Lind, Lars A1 - Palmer, Lyle J A1 - Hu, Frank B A1 - Franks, Paul W A1 - Ebrahim, Shah A1 - Marmot, Michael A1 - Kao, W H Linda A1 - Pramstaller, Peter Paul A1 - Wright, Alan F A1 - Stumvoll, Michael A1 - Hamsten, Anders A1 - Buchanan, Thomas A A1 - Valle, Timo T A1 - Rotter, Jerome I A1 - Penninx, Brenda W J H A1 - Boomsma, Dorret I A1 - Cao, Antonio A1 - Scuteri, Angelo A1 - Schlessinger, David A1 - Uda, Manuela A1 - Ruokonen, Aimo A1 - Jarvelin, Marjo-Riitta A1 - Peltonen, Leena A1 - Mooser, Vincent A1 - Sladek, Robert A1 - Musunuru, Kiran A1 - Smith, Albert V A1 - Edmondson, Andrew C A1 - Stylianou, Ioannis M A1 - Koseki, Masahiro A1 - Pirruccello, James P A1 - Chasman, Daniel I A1 - Johansen, Christopher T A1 - Fouchier, Sigrid W A1 - Peloso, Gina M A1 - Barbalic, Maja A1 - Ricketts, Sally L A1 - Bis, Joshua C A1 - Feitosa, Mary F A1 - Orho-Melander, Marju A1 - Melander, Olle A1 - Li, Xiaohui A1 - Li, Mingyao A1 - Cho, Yoon Shin A1 - Go, Min Jin A1 - Kim, Young Jin A1 - Lee, Jong-Young A1 - Park, Taesung A1 - Kim, Kyunga A1 - Sim, Xueling A1 - Ong, Rick Twee-Hee A1 - Croteau-Chonka, Damien C A1 - Lange, Leslie A A1 - Smith, Joshua D A1 - Ziegler, Andreas A1 - Zhang, Weihua A1 - Zee, Robert Y L A1 - Whitfield, John B A1 - Thompson, John R A1 - Surakka, Ida A1 - Spector, Tim D A1 - Smit, Johannes H A1 - Sinisalo, Juha A1 - Scott, James A1 - Saharinen, Juha A1 - Sabatti, Chiara A1 - Rose, Lynda M A1 - Roberts, Robert A1 - Rieder, Mark A1 - Parker, Alex N A1 - Paré, Guillaume A1 - O'Donnell, Christopher J A1 - Nieminen, Markku S A1 - Nickerson, Deborah A A1 - Montgomery, Grant W A1 - McArdle, Wendy A1 - Masson, David A1 - Martin, Nicholas G A1 - Marroni, Fabio A1 - Lucas, Gavin A1 - Luben, Robert A1 - Lokki, Marja-Liisa A1 - Lettre, Guillaume A1 - Launer, Lenore J A1 - Lakatta, Edward G A1 - Laaksonen, Reijo A1 - Kyvik, Kirsten O A1 - König, Inke R A1 - Khaw, Kay-Tee A1 - Kaplan, Lee M A1 - Johansson, Asa A1 - Janssens, A Cecile J W A1 - Igl, Wilmar A1 - Hovingh, G Kees A1 - Hengstenberg, Christian A1 - Havulinna, Aki S A1 - Hastie, Nicholas D A1 - Harris, Tamara B A1 - Haritunians, Talin A1 - Hall, Alistair S A1 - Groop, Leif C A1 - Gonzalez, Elena A1 - Freimer, Nelson B A1 - Erdmann, Jeanette A1 - Ejebe, Kenechi G A1 - Döring, Angela A1 - Dominiczak, Anna F A1 - Demissie, Serkalem A1 - Deloukas, Panagiotis A1 - de Faire, Ulf A1 - Crawford, Gabriel A1 - Chen, Yii-der I A1 - Caulfield, Mark J A1 - Boekholdt, S Matthijs A1 - Assimes, Themistocles L A1 - Quertermous, Thomas A1 - Seielstad, Mark A1 - Wong, Tien Y A1 - Tai, E-Shyong A1 - Feranil, Alan B A1 - Kuzawa, Christopher W A1 - Taylor, Herman A A1 - Gabriel, Stacey B A1 - Holm, Hilma A1 - Gudnason, Vilmundur A1 - Krauss, Ronald M A1 - Ordovas, Jose M A1 - Munroe, Patricia B A1 - Kooner, Jaspal S A1 - Tall, Alan R A1 - Hegele, Robert A A1 - Kastelein, John J P A1 - Schadt, Eric E A1 - Strachan, David P A1 - Reilly, Muredach P A1 - Samani, Nilesh J A1 - Schunkert, Heribert A1 - Cupples, L Adrienne A1 - Sandhu, Manjinder S A1 - Ridker, Paul M A1 - Rader, Daniel J A1 - Kathiresan, Sekar KW - Adiponectin KW - African Americans KW - Asian Continental Ancestry Group KW - Cholesterol, HDL KW - Diabetes Mellitus, Type 2 KW - European Continental Ancestry Group KW - Female KW - Gene Expression KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Glucose Tolerance Test KW - Humans KW - Insulin Resistance KW - Male KW - Metabolic Networks and Pathways KW - Polymorphism, Single Nucleotide KW - Waist-Hip Ratio AB -

Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10(-8)-1.2×10(-43)). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p<3×10(-4)). We next developed a multi-SNP genotypic risk score to test the association of adiponectin decreasing risk alleles on metabolic traits and diseases using consortia-level meta-analytic data. This risk score was associated with increased risk of T2D (p = 4.3×10(-3), n = 22,044), increased triglycerides (p = 2.6×10(-14), n = 93,440), increased waist-to-hip ratio (p = 1.8×10(-5), n = 77,167), increased glucose two hours post oral glucose tolerance testing (p = 4.4×10(-3), n = 15,234), increased fasting insulin (p = 0.015, n = 48,238), but with lower in HDL-cholesterol concentrations (p = 4.5×10(-13), n = 96,748) and decreased BMI (p = 1.4×10(-4), n = 121,335). These findings identify novel genetic determinants of adiponectin levels, which, taken together, influence risk of T2D and markers of insulin resistance.

VL - 8 IS - 3 U1 - http://www.ncbi.nlm.nih.gov/pubmed/22479202?dopt=Abstract ER - TY - JOUR T1 - Genome-wide association of body fat distribution in African ancestry populations suggests new loci. JF - PLoS Genet Y1 - 2013 A1 - Liu, Ching-Ti A1 - Monda, Keri L A1 - Taylor, Kira C A1 - Lange, Leslie A1 - Demerath, Ellen W A1 - Palmas, Walter A1 - Wojczynski, Mary K A1 - Ellis, Jaclyn C A1 - Vitolins, Mara Z A1 - Liu, Simin A1 - Papanicolaou, George J A1 - Irvin, Marguerite R A1 - Xue, Luting A1 - Griffin, Paula J A1 - Nalls, Michael A A1 - Adeyemo, Adebowale A1 - Liu, Jiankang A1 - Li, Guo A1 - Ruiz-Narvaez, Edward A A1 - Chen, Wei-Min A1 - Chen, Fang A1 - Henderson, Brian E A1 - Millikan, Robert C A1 - Ambrosone, Christine B A1 - Strom, Sara S A1 - Guo, Xiuqing A1 - Andrews, Jeanette S A1 - Sun, Yan V A1 - Mosley, Thomas H A1 - Yanek, Lisa R A1 - Shriner, Daniel A1 - Haritunians, Talin A1 - Rotter, Jerome I A1 - Speliotes, Elizabeth K A1 - Smith, Megan A1 - Rosenberg, Lynn A1 - Mychaleckyj, Josyf A1 - Nayak, Uma A1 - Spruill, Ida A1 - Garvey, W Timothy A1 - Pettaway, Curtis A1 - Nyante, Sarah A1 - Bandera, Elisa V A1 - Britton, Angela F A1 - Zonderman, Alan B A1 - Rasmussen-Torvik, Laura J A1 - Chen, Yii-Der Ida A1 - Ding, Jingzhong A1 - Lohman, Kurt A1 - Kritchevsky, Stephen B A1 - Zhao, Wei A1 - Peyser, Patricia A A1 - Kardia, Sharon L R A1 - Kabagambe, Edmond A1 - Broeckel, Ulrich A1 - Chen, Guanjie A1 - Zhou, Jie A1 - Wassertheil-Smoller, Sylvia A1 - Neuhouser, Marian L A1 - Rampersaud, Evadnie A1 - Psaty, Bruce A1 - Kooperberg, Charles A1 - Manson, JoAnn E A1 - Kuller, Lewis H A1 - Ochs-Balcom, Heather M A1 - Johnson, Karen C A1 - Sucheston, Lara A1 - Ordovas, Jose M A1 - Palmer, Julie R A1 - Haiman, Christopher A A1 - McKnight, Barbara A1 - Howard, Barbara V A1 - Becker, Diane M A1 - Bielak, Lawrence F A1 - Liu, Yongmei A1 - Allison, Matthew A A1 - Grant, Struan F A A1 - Burke, Gregory L A1 - Patel, Sanjay R A1 - Schreiner, Pamela J A1 - Borecki, Ingrid B A1 - Evans, Michele K A1 - Taylor, Herman A1 - Sale, Michèle M A1 - Howard, Virginia A1 - Carlson, Christopher S A1 - Rotimi, Charles N A1 - Cushman, Mary A1 - Harris, Tamara B A1 - Reiner, Alexander P A1 - Cupples, L Adrienne A1 - North, Kari E A1 - Fox, Caroline S KW - Adiposity KW - African Continental Ancestry Group KW - Body Fat Distribution KW - European Continental Ancestry Group KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Male KW - Obesity KW - Polymorphism, Single Nucleotide KW - Waist-Hip Ratio AB -

Central obesity, measured by waist circumference (WC) or waist-hip ratio (WHR), is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS) of fat distribution among those of predominantly African ancestry (AA). We performed GWAS of WC and WHR, adjusted and unadjusted for BMI, in up to 33,591 and 27,350 AA individuals, respectively. We identified loci associated with fat distribution in AA individuals using meta-analyses of GWA results for WC and WHR (stage 1). Overall, 25 SNPs with single genomic control (GC)-corrected p-values<5.0 × 10(-6) were followed-up (stage 2) in AA with WC and with WHR. Additionally, we interrogated genomic regions of previously identified European ancestry (EA) WHR loci among AA. In joint analysis of association results including both Stage 1 and 2 cohorts, 2 SNPs demonstrated association, rs2075064 at LHX2, p = 2.24×10(-8) for WC-adjusted-for-BMI, and rs6931262 at RREB1, p = 2.48×10(-8) for WHR-adjusted-for-BMI. However, neither signal was genome-wide significant after double GC-correction (LHX2: p = 6.5 × 10(-8); RREB1: p = 5.7 × 10(-8)). Six of fourteen previously reported loci for waist in EA populations were significant (p<0.05 divided by the number of independent SNPs within the region) in AA studied here (TBX15-WARS2, GRB14, ADAMTS9, LY86, RSPO3, ITPR2-SSPN). Further, we observed associations with metabolic traits: rs13389219 at GRB14 associated with HDL-cholesterol, triglycerides, and fasting insulin, and rs13060013 at ADAMTS9 with HDL-cholesterol and fasting insulin. Finally, we observed nominal evidence for sexual dimorphism, with stronger results in AA women at the GRB14 locus (p for interaction = 0.02). In conclusion, we identified two suggestive loci associated with fat distribution in AA populations in addition to confirming 6 loci previously identified in populations of EA. These findings reinforce the concept that there are fat distribution loci that are independent of generalized adiposity.

VL - 9 IS - 8 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23966867?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 - Trans-ethnic fine-mapping of lipid loci identifies population-specific signals and allelic heterogeneity that increases the trait variance explained. JF - PLoS Genet Y1 - 2013 A1 - Wu, Ying A1 - Waite, Lindsay L A1 - Jackson, Anne U A1 - Sheu, Wayne H-H A1 - Buyske, Steven A1 - Absher, Devin A1 - Arnett, Donna K A1 - Boerwinkle, Eric A1 - Bonnycastle, Lori L A1 - Carty, Cara L A1 - Cheng, Iona A1 - Cochran, Barbara A1 - Croteau-Chonka, Damien C A1 - Dumitrescu, Logan A1 - Eaton, Charles B A1 - Franceschini, Nora A1 - Guo, Xiuqing A1 - Henderson, Brian E A1 - Hindorff, Lucia A A1 - Kim, Eric A1 - Kinnunen, Leena A1 - Komulainen, Pirjo A1 - Lee, Wen-Jane A1 - Le Marchand, Loïc A1 - Lin, Yi A1 - Lindström, Jaana A1 - Lingaas-Holmen, Oddgeir A1 - Mitchell, Sabrina L A1 - Narisu, Narisu A1 - Robinson, Jennifer G A1 - Schumacher, Fred A1 - Stančáková, Alena A1 - Sundvall, Jouko A1 - Sung, Yun-Ju A1 - Swift, Amy J A1 - Wang, Wen-Chang A1 - Wilkens, Lynne A1 - Wilsgaard, Tom A1 - Young, Alicia M A1 - Adair, Linda S A1 - Ballantyne, Christie M A1 - Bůzková, Petra A1 - Chakravarti, Aravinda A1 - Collins, Francis S A1 - Duggan, David A1 - Feranil, Alan B A1 - Ho, Low-Tone A1 - Hung, Yi-Jen A1 - Hunt, Steven C A1 - Hveem, Kristian A1 - Juang, Jyh-Ming J A1 - Kesäniemi, Antero Y A1 - Kuusisto, Johanna A1 - Laakso, Markku A1 - Lakka, Timo A A1 - Lee, I-Te A1 - Leppert, Mark F A1 - Matise, Tara C A1 - Moilanen, Leena A1 - Njølstad, Inger A1 - Peters, Ulrike A1 - Quertermous, Thomas A1 - Rauramaa, Rainer A1 - Rotter, Jerome I A1 - Saramies, Jouko A1 - Tuomilehto, Jaakko A1 - Uusitupa, Matti A1 - Wang, Tzung-Dau A1 - Boehnke, Michael A1 - Haiman, Christopher A A1 - Chen, Yii-der I A1 - Kooperberg, Charles A1 - Assimes, Themistocles L A1 - Crawford, Dana C A1 - Hsiung, Chao A A1 - North, Kari E A1 - Mohlke, Karen L KW - African Americans KW - Apolipoproteins A KW - Cholesterol, HDL KW - Cholesterol, LDL KW - European Continental Ancestry Group KW - Genome-Wide Association Study KW - Humans KW - Lipoproteins, HDL KW - Lipoproteins, LDL KW - Proprotein Convertases KW - Serine Endopeptidases KW - Triglycerides AB -

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

VL - 9 IS - 3 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23555291?dopt=Abstract ER - TY - JOUR T1 - Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. JF - Am J Hum Genet Y1 - 2014 A1 - Ganesh, Santhi K A1 - Chasman, Daniel I A1 - Larson, Martin G A1 - Guo, Xiuqing A1 - Verwoert, Germain A1 - Bis, Joshua C A1 - Gu, Xiangjun A1 - Smith, Albert V A1 - Yang, Min-Lee A1 - Zhang, Yan A1 - Ehret, Georg A1 - Rose, Lynda M A1 - Hwang, Shih-Jen A1 - Papanicolau, George J A1 - Sijbrands, Eric J A1 - Rice, Kenneth A1 - Eiriksdottir, Gudny A1 - Pihur, Vasyl A1 - Ridker, Paul M A1 - Vasan, Ramachandran S A1 - Newton-Cheh, Christopher A1 - Raffel, Leslie J A1 - Amin, Najaf A1 - Rotter, Jerome I A1 - Liu, Kiang A1 - Launer, Lenore J A1 - Xu, Ming A1 - Caulfield, Mark A1 - Morrison, Alanna C A1 - Johnson, Andrew D A1 - Vaidya, Dhananjay A1 - Dehghan, Abbas A1 - Li, Guo A1 - Bouchard, Claude A1 - Harris, Tamara B A1 - Zhang, He A1 - Boerwinkle, Eric A1 - Siscovick, David S A1 - Gao, Wei A1 - Uitterlinden, André G A1 - Rivadeneira, Fernando A1 - Hofman, Albert A1 - Willer, Cristen J A1 - Franco, Oscar H A1 - Huo, Yong A1 - Witteman, Jacqueline C M A1 - Munroe, Patricia B A1 - Gudnason, Vilmundur A1 - Palmas, Walter A1 - van Duijn, Cornelia A1 - Fornage, Myriam A1 - Levy, Daniel A1 - Psaty, Bruce M A1 - Chakravarti, Aravinda KW - Blood Pressure KW - Genome-Wide Association Study KW - Humans KW - Longitudinal Studies KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Quantitative Trait Loci AB -

Blood pressure (BP) is a heritable, quantitative trait with intraindividual variability and susceptibility to measurement error. Genetic studies of BP generally use single-visit measurements and thus cannot remove variability occurring over months or years. We leveraged the idea that averaging BP measured across time would improve phenotypic accuracy and thereby increase statistical power to detect genetic associations. We studied systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) averaged over multiple years in 46,629 individuals of European ancestry. We identified 39 trait-variant associations across 19 independent loci (p < 5 × 10(-8)); five associations (in four loci) uniquely identified by our LTA analyses included those of SBP and MAP at 2p23 (rs1275988, near KCNK3), DBP at 2q11.2 (rs7599598, in FER1L5), and PP at 6p21 (rs10948071, near CRIP3) and 7p13 (rs2949837, near IGFBP3). Replication analyses conducted in cohorts with single-visit BP data showed positive replication of associations and a nominal association (p < 0.05). We estimated a 20% gain in statistical power with long-term average (LTA) as compared to single-visit BP association studies. Using LTA analysis, we identified genetic loci influencing BP. LTA might be one way of increasing the power of genetic associations for continuous traits in extant samples for other phenotypes that are measured serially over time.

VL - 95 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24975945?dopt=Abstract ER - TY - JOUR T1 - Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia. JF - Am J Hum Genet Y1 - 2014 A1 - Simino, Jeannette A1 - Shi, Gang A1 - Bis, Joshua C A1 - Chasman, Daniel I A1 - Ehret, Georg B A1 - Gu, Xiangjun A1 - Guo, Xiuqing A1 - Hwang, Shih-Jen A1 - Sijbrands, Eric A1 - Smith, Albert V A1 - Verwoert, Germaine C A1 - Bragg-Gresham, Jennifer L A1 - Cadby, Gemma A1 - Chen, Peng A1 - Cheng, Ching-Yu A1 - Corre, Tanguy A1 - de Boer, Rudolf A A1 - Goel, Anuj A1 - Johnson, Toby A1 - Khor, Chiea-Chuen A1 - Lluís-Ganella, Carla A1 - Luan, Jian'an A1 - Lyytikäinen, Leo-Pekka A1 - Nolte, Ilja M A1 - Sim, Xueling A1 - Sõber, Siim A1 - van der Most, Peter J A1 - Verweij, Niek A1 - Zhao, Jing Hua A1 - Amin, Najaf A1 - Boerwinkle, Eric A1 - Bouchard, Claude A1 - Dehghan, Abbas A1 - Eiriksdottir, Gudny A1 - Elosua, Roberto A1 - Franco, Oscar H A1 - Gieger, Christian A1 - Harris, Tamara B A1 - Hercberg, Serge A1 - Hofman, Albert A1 - James, Alan L A1 - Johnson, Andrew D A1 - Kähönen, Mika A1 - Khaw, Kay-Tee A1 - Kutalik, Zoltán A1 - Larson, Martin G A1 - Launer, Lenore J A1 - Li, Guo A1 - Liu, Jianjun A1 - Liu, Kiang A1 - Morrison, Alanna C A1 - Navis, Gerjan A1 - Ong, Rick Twee-Hee A1 - Papanicolau, George J A1 - Penninx, Brenda W A1 - Psaty, Bruce M A1 - Raffel, Leslie J A1 - Raitakari, Olli T A1 - Rice, Kenneth A1 - Rivadeneira, Fernando A1 - Rose, Lynda M A1 - Sanna, Serena A1 - Scott, Robert A A1 - Siscovick, David S A1 - Stolk, Ronald P A1 - Uitterlinden, André G A1 - Vaidya, Dhananjay A1 - van der Klauw, Melanie M A1 - Vasan, Ramachandran S A1 - Vithana, Eranga Nishanthie A1 - Völker, Uwe A1 - Völzke, Henry A1 - Watkins, Hugh A1 - Young, Terri L A1 - Aung, Tin A1 - Bochud, Murielle A1 - Farrall, Martin A1 - Hartman, Catharina A A1 - Laan, Maris A1 - Lakatta, Edward G A1 - Lehtimäki, Terho A1 - Loos, Ruth J F A1 - Lucas, Gavin A1 - Meneton, Pierre A1 - Palmer, Lyle J A1 - Rettig, Rainer A1 - Snieder, Harold A1 - Tai, E Shyong A1 - Teo, Yik-Ying A1 - van der Harst, Pim A1 - Wareham, Nicholas J A1 - Wijmenga, Cisca A1 - Wong, Tien Yin A1 - Fornage, Myriam A1 - Gudnason, Vilmundur A1 - Levy, Daniel A1 - Palmas, Walter A1 - Ridker, Paul M A1 - Rotter, Jerome I A1 - van Duijn, Cornelia M A1 - Witteman, Jacqueline C M A1 - Chakravarti, Aravinda A1 - Rao, Dabeeru C KW - Adolescent KW - Adult KW - Age Factors KW - Aged KW - Blood Pressure KW - Cohort Studies KW - Humans KW - Middle Aged KW - Young Adult AB -

Although age-dependent effects on blood pressure (BP) have been reported, they have not been systematically investigated in large-scale genome-wide association studies (GWASs). We leveraged the infrastructure of three well-established consortia (CHARGE, GBPgen, and ICBP) and a nonstandard approach (age stratification and metaregression) to conduct a genome-wide search of common variants with age-dependent effects on systolic (SBP), diastolic (DBP), mean arterial (MAP), and pulse (PP) pressure. In a two-staged design using 99,241 individuals of European ancestry, we identified 20 genome-wide significant (p ≤ 5 × 10(-8)) loci by using joint tests of the SNP main effect and SNP-age interaction. Nine of the significant loci demonstrated nominal evidence of age-dependent effects on BP by tests of the interactions alone. Index SNPs in the EHBP1L1 (DBP and MAP), CASZ1 (SBP and MAP), and GOSR2 (PP) loci exhibited the largest age interactions, with opposite directions of effect in the young versus the old. The changes in the genetic effects over time were small but nonnegligible (up to 1.58 mm Hg over 60 years). The EHBP1L1 locus was discovered through gene-age interactions only in whites but had DBP main effects replicated (p = 8.3 × 10(-4)) in 8,682 Asians from Singapore, indicating potential interethnic heterogeneity. A secondary analysis revealed 22 loci with evidence of age-specific effects (e.g., only in 20 to 29-year-olds). Age can be used to select samples with larger genetic effect sizes and more homogenous phenotypes, which may increase statistical power. Age-dependent effects identified through novel statistical approaches can provide insight into the biology and temporal regulation underlying BP associations.

VL - 95 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24954895?dopt=Abstract ER - TY - JOUR T1 - Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes. JF - PLoS Genet Y1 - 2014 A1 - Ng, Maggie C Y A1 - Shriner, Daniel A1 - Chen, Brian H A1 - Li, Jiang A1 - Chen, Wei-Min A1 - Guo, Xiuqing A1 - Liu, Jiankang A1 - Bielinski, Suzette J A1 - Yanek, Lisa R A1 - Nalls, Michael A A1 - Comeau, Mary E A1 - Rasmussen-Torvik, Laura J A1 - Jensen, Richard A A1 - Evans, Daniel S A1 - Sun, Yan V A1 - An, Ping A1 - Patel, Sanjay R A1 - Lu, Yingchang A1 - Long, Jirong A1 - Armstrong, Loren L A1 - Wagenknecht, Lynne A1 - Yang, Lingyao A1 - Snively, Beverly M A1 - Palmer, Nicholette D A1 - Mudgal, Poorva A1 - Langefeld, Carl D A1 - Keene, Keith L A1 - Freedman, Barry I A1 - Mychaleckyj, Josyf C A1 - Nayak, Uma A1 - Raffel, Leslie J A1 - Goodarzi, Mark O A1 - Chen, Y-D Ida A1 - Taylor, Herman A A1 - Correa, Adolfo A1 - Sims, Mario A1 - Couper, David A1 - Pankow, James S A1 - Boerwinkle, Eric A1 - Adeyemo, Adebowale A1 - Doumatey, Ayo A1 - Chen, Guanjie A1 - Mathias, Rasika A A1 - Vaidya, Dhananjay A1 - Singleton, Andrew B A1 - Zonderman, Alan B A1 - Igo, Robert P A1 - Sedor, John R A1 - Kabagambe, Edmond K A1 - Siscovick, David S A1 - McKnight, Barbara A1 - Rice, Kenneth A1 - Liu, Yongmei A1 - Hsueh, Wen-Chi A1 - Zhao, Wei A1 - Bielak, Lawrence F A1 - Kraja, Aldi A1 - Province, Michael A A1 - Bottinger, Erwin P A1 - Gottesman, Omri A1 - Cai, Qiuyin A1 - Zheng, Wei A1 - Blot, William J A1 - Lowe, William L A1 - Pacheco, Jennifer A A1 - Crawford, Dana C A1 - Grundberg, Elin A1 - Rich, Stephen S A1 - Hayes, M Geoffrey A1 - Shu, Xiao-Ou A1 - Loos, Ruth J F A1 - Borecki, Ingrid B A1 - Peyser, Patricia A A1 - Cummings, Steven R A1 - Psaty, Bruce M A1 - Fornage, Myriam A1 - Iyengar, Sudha K A1 - Evans, Michele K A1 - Becker, Diane M A1 - Kao, W H Linda A1 - Wilson, James G A1 - Rotter, Jerome I A1 - Sale, Michèle M A1 - Liu, Simin A1 - Rotimi, Charles N A1 - Bowden, Donald W KW - African Americans KW - Diabetes Mellitus, Type 2 KW - Genome-Wide Association Study KW - HLA-B27 Antigen KW - HMGA2 Protein KW - Humans KW - KCNQ1 Potassium Channel KW - Mutant Chimeric Proteins KW - Polymorphism, Single Nucleotide KW - Transcription Factor 7-Like 2 Protein AB -

Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 × 10(-94) VL - 10 IS - 8 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25102180?dopt=Abstract ER - TY - JOUR T1 - Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins. JF - Nat Commun Y1 - 2014 A1 - Postmus, Iris A1 - Trompet, Stella A1 - Deshmukh, Harshal A A1 - Barnes, Michael R A1 - Li, Xiaohui A1 - Warren, Helen R A1 - Chasman, Daniel I A1 - Zhou, Kaixin A1 - Arsenault, Benoit J A1 - Donnelly, Louise A A1 - Wiggins, Kerri L A1 - Avery, Christy L A1 - Griffin, Paula A1 - Feng, QiPing A1 - Taylor, Kent D A1 - Li, Guo A1 - Evans, Daniel S A1 - Smith, Albert V A1 - de Keyser, Catherine E A1 - Johnson, Andrew D A1 - de Craen, Anton J M A1 - Stott, David J A1 - Buckley, Brendan M A1 - Ford, Ian A1 - Westendorp, Rudi G J A1 - Slagboom, P Eline A1 - Sattar, Naveed A1 - Munroe, Patricia B A1 - Sever, Peter A1 - Poulter, Neil A1 - Stanton, Alice A1 - Shields, Denis C A1 - O'Brien, Eoin A1 - Shaw-Hawkins, Sue A1 - Chen, Y-D Ida A1 - Nickerson, Deborah A A1 - Smith, Joshua D A1 - Dubé, Marie Pierre A1 - Boekholdt, S Matthijs A1 - Hovingh, G Kees A1 - Kastelein, John J P A1 - McKeigue, Paul M A1 - Betteridge, John A1 - Neil, Andrew A1 - Durrington, Paul N A1 - Doney, Alex A1 - Carr, Fiona A1 - Morris, Andrew A1 - McCarthy, Mark I A1 - Groop, Leif A1 - Ahlqvist, Emma A1 - Bis, Joshua C A1 - Rice, Kenneth A1 - Smith, Nicholas L A1 - Lumley, Thomas A1 - Whitsel, Eric A A1 - Stürmer, Til A1 - Boerwinkle, Eric A1 - Ngwa, Julius S A1 - O'Donnell, Christopher J A1 - Vasan, Ramachandran S A1 - Wei, Wei-Qi A1 - Wilke, Russell A A1 - Liu, Ching-Ti A1 - Sun, Fangui A1 - Guo, Xiuqing A1 - Heckbert, Susan R A1 - Post, Wendy A1 - Sotoodehnia, Nona A1 - Arnold, Alice M A1 - Stafford, Jeanette M A1 - Ding, Jingzhong A1 - Herrington, David M A1 - Kritchevsky, Stephen B A1 - Eiriksdottir, Gudny A1 - Launer, Leonore J A1 - Harris, Tamara B A1 - Chu, Audrey Y A1 - Giulianini, Franco A1 - MacFadyen, Jean G A1 - Barratt, Bryan J A1 - Nyberg, Fredrik A1 - Stricker, Bruno H A1 - Uitterlinden, André G A1 - Hofman, Albert A1 - Rivadeneira, Fernando A1 - Emilsson, Valur A1 - Franco, Oscar H A1 - Ridker, Paul M A1 - Gudnason, Vilmundur A1 - Liu, Yongmei A1 - Denny, Joshua C A1 - Ballantyne, Christie M A1 - Rotter, Jerome I A1 - Adrienne Cupples, L A1 - Psaty, Bruce M A1 - Palmer, Colin N A A1 - Tardif, Jean-Claude A1 - Colhoun, Helen M A1 - Hitman, Graham A1 - Krauss, Ronald M A1 - Wouter Jukema, J A1 - Caulfield, Mark J KW - Cholesterol, LDL KW - Genome-Wide Association Study KW - Humans KW - Hydroxymethylglutaryl-CoA Reductase Inhibitors KW - Pharmacogenetics KW - Polymorphism, Single Nucleotide AB -

Statins effectively lower LDL cholesterol levels in large studies and the observed interindividual response variability may be partially explained by genetic variation. Here we perform a pharmacogenetic meta-analysis of genome-wide association studies (GWAS) in studies addressing the LDL cholesterol response to statins, including up to 18,596 statin-treated subjects. We validate the most promising signals in a further 22,318 statin recipients and identify two loci, SORT1/CELSR2/PSRC1 and SLCO1B1, not previously identified in GWAS. Moreover, we confirm the previously described associations with APOE and LPA. Our findings advance the understanding of the pharmacogenetic architecture of statin response.

VL - 5 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25350695?dopt=Abstract ER - TY - JOUR T1 - Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. JF - Nat Commun Y1 - 2015 A1 - Wessel, Jennifer A1 - Chu, Audrey Y A1 - Willems, Sara M A1 - Wang, Shuai A1 - Yaghootkar, Hanieh A1 - Brody, Jennifer A A1 - Dauriz, Marco A1 - Hivert, Marie-France A1 - Raghavan, Sridharan A1 - Lipovich, Leonard A1 - Hidalgo, Bertha A1 - Fox, Keolu A1 - Huffman, Jennifer E A1 - An, Ping A1 - Lu, Yingchang A1 - Rasmussen-Torvik, Laura J A1 - Grarup, Niels A1 - Ehm, Margaret G A1 - Li, Li A1 - Baldridge, Abigail S A1 - Stančáková, Alena A1 - Abrol, Ravinder A1 - Besse, Céline A1 - Boland, Anne A1 - Bork-Jensen, Jette A1 - Fornage, Myriam A1 - Freitag, Daniel F A1 - Garcia, Melissa E A1 - Guo, Xiuqing A1 - Hara, Kazuo A1 - Isaacs, Aaron A1 - Jakobsdottir, Johanna A1 - Lange, Leslie A A1 - Layton, Jill C A1 - Li, Man A1 - Hua Zhao, Jing A1 - Meidtner, Karina A1 - Morrison, Alanna C A1 - Nalls, Mike A A1 - Peters, Marjolein J A1 - Sabater-Lleal, Maria A1 - Schurmann, Claudia A1 - Silveira, Angela A1 - Smith, Albert V A1 - Southam, Lorraine A1 - Stoiber, Marcus H A1 - Strawbridge, Rona J A1 - Taylor, Kent D A1 - Varga, Tibor V A1 - Allin, Kristine H A1 - Amin, Najaf A1 - Aponte, Jennifer L A1 - Aung, Tin A1 - Barbieri, Caterina A1 - Bihlmeyer, Nathan A A1 - Boehnke, Michael A1 - Bombieri, Cristina A1 - Bowden, Donald W A1 - Burns, Sean M A1 - Chen, Yuning A1 - Chen, Yii-DerI A1 - Cheng, Ching-Yu A1 - Correa, Adolfo A1 - Czajkowski, Jacek A1 - Dehghan, Abbas A1 - Ehret, Georg B A1 - Eiriksdottir, Gudny A1 - Escher, Stefan A A1 - Farmaki, Aliki-Eleni A1 - Frånberg, Mattias A1 - Gambaro, Giovanni A1 - Giulianini, Franco A1 - Goddard, William A A1 - Goel, Anuj A1 - Gottesman, Omri A1 - Grove, Megan L A1 - Gustafsson, Stefan A1 - Hai, Yang A1 - Hallmans, Göran A1 - Heo, Jiyoung A1 - Hoffmann, Per A1 - Ikram, Mohammad K A1 - Jensen, Richard A A1 - Jørgensen, Marit E A1 - Jørgensen, Torben A1 - Karaleftheri, Maria A1 - Khor, Chiea C A1 - Kirkpatrick, Andrea A1 - Kraja, Aldi T A1 - Kuusisto, Johanna A1 - Lange, Ethan M A1 - Lee, I T A1 - Lee, Wen-Jane A1 - Leong, Aaron A1 - Liao, Jiemin A1 - Liu, Chunyu A1 - Liu, Yongmei A1 - Lindgren, Cecilia M A1 - Linneberg, Allan A1 - Malerba, Giovanni A1 - Mamakou, Vasiliki A1 - Marouli, Eirini A1 - Maruthur, Nisa M A1 - Matchan, Angela A1 - McKean-Cowdin, Roberta A1 - McLeod, Olga A1 - Metcalf, Ginger A A1 - Mohlke, Karen L A1 - Muzny, Donna M A1 - Ntalla, Ioanna A1 - Palmer, Nicholette D A1 - Pasko, Dorota A1 - Peter, Andreas A1 - Rayner, Nigel W A1 - Renstrom, Frida A1 - Rice, Ken A1 - Sala, Cinzia F A1 - Sennblad, Bengt A1 - Serafetinidis, Ioannis A1 - Smith, Jennifer A A1 - Soranzo, Nicole A1 - Speliotes, Elizabeth K A1 - Stahl, Eli A A1 - Stirrups, Kathleen A1 - Tentolouris, Nikos A1 - Thanopoulou, Anastasia A1 - Torres, Mina A1 - Traglia, Michela A1 - Tsafantakis, Emmanouil A1 - Javad, Sundas A1 - Yanek, Lisa R A1 - Zengini, Eleni A1 - Becker, Diane M A1 - Bis, Joshua C A1 - Brown, James B A1 - Cupples, L Adrienne A1 - Hansen, Torben A1 - Ingelsson, Erik A1 - Karter, Andrew J A1 - Lorenzo, Carlos A1 - Mathias, Rasika A A1 - Norris, Jill M A1 - Peloso, Gina M A1 - Sheu, Wayne H-H A1 - Toniolo, Daniela A1 - Vaidya, Dhananjay A1 - Varma, Rohit A1 - Wagenknecht, Lynne E A1 - Boeing, Heiner A1 - Bottinger, Erwin P A1 - Dedoussis, George A1 - Deloukas, Panos A1 - Ferrannini, Ele A1 - Franco, Oscar H A1 - Franks, Paul W A1 - Gibbs, Richard A A1 - Gudnason, Vilmundur A1 - Hamsten, Anders A1 - Harris, Tamara B A1 - Hattersley, Andrew T A1 - Hayward, Caroline A1 - Hofman, Albert A1 - Jansson, Jan-Håkan A1 - Langenberg, Claudia A1 - Launer, Lenore J A1 - Levy, Daniel A1 - Oostra, Ben A A1 - O'Donnell, Christopher J A1 - O'Rahilly, Stephen A1 - Padmanabhan, Sandosh A1 - Pankow, James S A1 - Polasek, Ozren A1 - Province, Michael A A1 - Rich, Stephen S A1 - Ridker, Paul M A1 - Rudan, Igor A1 - Schulze, Matthias B A1 - Smith, Blair H A1 - Uitterlinden, André G A1 - Walker, Mark A1 - Watkins, Hugh A1 - Wong, Tien Y A1 - Zeggini, Eleftheria A1 - Laakso, Markku A1 - Borecki, Ingrid B A1 - Chasman, Daniel I A1 - Pedersen, Oluf A1 - Psaty, Bruce M A1 - Tai, E Shyong A1 - van Duijn, Cornelia M A1 - Wareham, Nicholas J A1 - Waterworth, Dawn M A1 - Boerwinkle, Eric A1 - Kao, W H Linda A1 - Florez, Jose C A1 - Loos, Ruth J F A1 - Wilson, James G A1 - Frayling, Timothy M A1 - Siscovick, David S A1 - Dupuis, Josée A1 - Rotter, Jerome I A1 - Meigs, James B A1 - Scott, Robert A A1 - Goodarzi, Mark O KW - African Continental Ancestry Group KW - Blood Glucose KW - Diabetes Mellitus, Type 2 KW - European Continental Ancestry Group KW - Exome KW - Fasting KW - Genetic Association Studies KW - Genetic Loci KW - Genetic Predisposition to Disease KW - Genetic Variation KW - Glucagon-Like Peptide-1 Receptor KW - Glucose-6-Phosphatase KW - Humans KW - Insulin KW - Mutation Rate KW - Oligonucleotide Array Sequence Analysis KW - Polymorphism, Single Nucleotide AB -

Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.

VL - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25631608?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 - An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group. JF - Genet Epidemiol Y1 - 2016 A1 - Sung, Yun Ju A1 - Winkler, Thomas W A1 - Manning, Alisa K A1 - Aschard, Hugues A1 - Gudnason, Vilmundur A1 - Harris, Tamara B A1 - Smith, Albert V A1 - Boerwinkle, Eric A1 - Brown, Michael R A1 - Morrison, Alanna C A1 - Fornage, Myriam A1 - Lin, Li-An A1 - Richard, Melissa A1 - Bartz, Traci M A1 - Psaty, Bruce M A1 - Hayward, Caroline A1 - Polasek, Ozren A1 - Marten, Jonathan A1 - Rudan, Igor A1 - Feitosa, Mary F A1 - Kraja, Aldi T A1 - Province, Michael A A1 - Deng, Xuan A1 - Fisher, Virginia A A1 - Zhou, Yanhua A1 - Bielak, Lawrence F A1 - Smith, Jennifer A1 - Huffman, Jennifer E A1 - Padmanabhan, Sandosh A1 - Smith, Blair H A1 - Ding, Jingzhong A1 - Liu, Yongmei A1 - Lohman, Kurt A1 - Bouchard, Claude A1 - Rankinen, Tuomo A1 - Rice, Treva K A1 - Arnett, Donna A1 - Schwander, Karen A1 - Guo, Xiuqing A1 - Palmas, Walter A1 - Rotter, Jerome I A1 - Alfred, Tamuno A1 - Bottinger, Erwin P A1 - Loos, Ruth J F A1 - Amin, Najaf A1 - Franco, Oscar H A1 - van Duijn, Cornelia M A1 - Vojinovic, Dina A1 - Chasman, Daniel I A1 - Ridker, Paul M A1 - Rose, Lynda M A1 - Kardia, Sharon A1 - Zhu, Xiaofeng A1 - Rice, Kenneth A1 - Borecki, Ingrid B A1 - Rao, Dabeeru C A1 - Gauderman, W James A1 - Cupples, L Adrienne AB -

Studying gene-environment (G × E) interactions is important, as they extend our knowledge of the genetic architecture of complex traits and may help to identify novel variants not detected via analysis of main effects alone. The main statistical framework for studying G × E interactions uses a single regression model that includes both the genetic main and G × E interaction effects (the "joint" framework). The alternative "stratified" framework combines results from genetic main-effect analyses carried out separately within the exposed and unexposed groups. Although there have been several investigations using theory and simulation, an empirical comparison of the two frameworks is lacking. Here, we compare the two frameworks using results from genome-wide association studies of systolic blood pressure for 3.2 million low frequency and 6.5 million common variants across 20 cohorts of European ancestry, comprising 79,731 individuals. Our cohorts have sample sizes ranging from 456 to 22,983 and include both family-based and population-based samples. In cohort-specific analyses, the two frameworks provided similar inference for population-based cohorts. The agreement was reduced for family-based cohorts. In meta-analyses, agreement between the two frameworks was less than that observed in cohort-specific analyses, despite the increased sample size. In meta-analyses, agreement depended on (1) the minor allele frequency, (2) inclusion of family-based cohorts in meta-analysis, and (3) filtering scheme. The stratified framework appears to approximate the joint framework well only for common variants in population-based cohorts. We conclude that the joint framework is the preferred approach and should be used to control false positives when dealing with low-frequency variants and/or family-based cohorts.

VL - 40 IS - 5 U1 - http://www.ncbi.nlm.nih.gov/pubmed/27230302?dopt=Abstract ER - TY - JOUR T1 - General Framework for Meta-Analysis of Haplotype Association Tests. JF - Genet Epidemiol Y1 - 2016 A1 - Wang, Shuai A1 - Zhao, Jing Hua A1 - An, Ping A1 - Guo, Xiuqing A1 - Jensen, Richard A A1 - Marten, Jonathan A1 - Huffman, Jennifer E A1 - Meidtner, Karina A1 - Boeing, Heiner A1 - Campbell, Archie A1 - Rice, Kenneth M A1 - Scott, Robert A A1 - Yao, Jie A1 - Schulze, Matthias B A1 - Wareham, Nicholas J A1 - Borecki, Ingrid B A1 - Province, Michael A A1 - Rotter, Jerome I A1 - Hayward, Caroline A1 - Goodarzi, Mark O A1 - Meigs, James B A1 - Dupuis, Josée AB -

For complex traits, most associated single nucleotide variants (SNV) discovered to date have a small effect, and detection of association is only possible with large sample sizes. Because of patient confidentiality concerns, it is often not possible to pool genetic data from multiple cohorts, and meta-analysis has emerged as the method of choice to combine results from multiple studies. Many meta-analysis methods are available for single SNV analyses. As new approaches allow the capture of low frequency and rare genetic variation, it is of interest to jointly consider multiple variants to improve power. However, for the analysis of haplotypes formed by multiple SNVs, meta-analysis remains a challenge, because different haplotypes may be observed across studies. We propose a two-stage meta-analysis approach to combine haplotype analysis results. In the first stage, each cohort estimate haplotype effect sizes in a regression framework, accounting for relatedness among observations if appropriate. For the second stage, we use a multivariate generalized least square meta-analysis approach to combine haplotype effect estimates from multiple cohorts. Haplotype-specific association tests and a global test of independence between haplotypes and traits are obtained within our framework. We demonstrate through simulation studies that we control the type-I error rate, and our approach is more powerful than inverse variance weighted meta-analysis of single SNV analysis when haplotype effects are present. We replicate a published haplotype association between fasting glucose-associated locus (G6PC2) and fasting glucose in seven studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and we provide more precise haplotype effect estimates.

VL - 40 IS - 3 ER - TY - JOUR T1 - Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. JF - Nat Genet Y1 - 2016 A1 - Liu, Chunyu A1 - Kraja, Aldi T A1 - Smith, Jennifer A A1 - Brody, Jennifer A A1 - Franceschini, Nora A1 - Bis, Joshua C A1 - Rice, Kenneth A1 - Morrison, Alanna C A1 - Lu, Yingchang A1 - Weiss, Stefan A1 - Guo, Xiuqing A1 - Palmas, Walter A1 - Martin, Lisa W A1 - Chen, Yii-Der Ida A1 - Surendran, Praveen A1 - Drenos, Fotios A1 - Cook, James P A1 - Auer, Paul L A1 - Chu, Audrey Y A1 - Giri, Ayush A1 - Zhao, Wei A1 - Jakobsdottir, Johanna A1 - Lin, Li-An A1 - Stafford, Jeanette M A1 - Amin, Najaf A1 - Mei, Hao A1 - Yao, Jie A1 - Voorman, Arend A1 - Larson, Martin G A1 - Grove, Megan L A1 - Smith, Albert V A1 - Hwang, Shih-Jen A1 - Chen, Han A1 - Huan, Tianxiao A1 - Kosova, Gulum A1 - Stitziel, Nathan O A1 - Kathiresan, Sekar A1 - Samani, Nilesh A1 - Schunkert, Heribert A1 - Deloukas, Panos A1 - Li, Man A1 - Fuchsberger, Christian A1 - Pattaro, Cristian A1 - Gorski, Mathias A1 - Kooperberg, Charles A1 - Papanicolaou, George J A1 - Rossouw, Jacques E A1 - Faul, Jessica D A1 - Kardia, Sharon L R A1 - Bouchard, Claude A1 - Raffel, Leslie J A1 - Uitterlinden, André G A1 - Franco, Oscar H A1 - Vasan, Ramachandran S A1 - O'Donnell, Christopher J A1 - Taylor, Kent D A1 - Liu, Kiang A1 - Bottinger, Erwin P A1 - Gottesman, Omri A1 - Daw, E Warwick A1 - Giulianini, Franco A1 - Ganesh, Santhi A1 - Salfati, Elias A1 - Harris, Tamara B A1 - Launer, Lenore J A1 - Dörr, Marcus A1 - Felix, Stephan B A1 - Rettig, Rainer A1 - Völzke, Henry A1 - Kim, Eric A1 - Lee, Wen-Jane A1 - Lee, I-Te A1 - Sheu, Wayne H-H A1 - Tsosie, Krystal S A1 - Edwards, Digna R Velez A1 - Liu, Yongmei A1 - Correa, Adolfo A1 - Weir, David R A1 - Völker, Uwe A1 - Ridker, Paul M A1 - Boerwinkle, Eric A1 - Gudnason, Vilmundur A1 - Reiner, Alexander P A1 - van Duijn, Cornelia M A1 - Borecki, Ingrid B A1 - Edwards, Todd L A1 - Chakravarti, Aravinda A1 - Rotter, Jerome I A1 - Psaty, Bruce M A1 - Loos, Ruth J F A1 - Fornage, Myriam A1 - Ehret, Georg B A1 - Newton-Cheh, Christopher A1 - Levy, Daniel A1 - Chasman, Daniel I AB -

Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.

VL - 48 IS - 10 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 - Meta-analysis of genome-wide association studies of HDL cholesterol response to statins. JF - J Med Genet Y1 - 2016 A1 - Postmus, Iris A1 - Warren, Helen R A1 - Trompet, Stella A1 - Arsenault, Benoit J A1 - Avery, Christy L A1 - Bis, Joshua C A1 - Chasman, Daniel I A1 - de Keyser, Catherine E A1 - Deshmukh, Harshal A A1 - Evans, Daniel S A1 - Feng, QiPing A1 - Li, Xiaohui A1 - Smit, Roelof A J A1 - Smith, Albert V A1 - Sun, Fangui A1 - Taylor, Kent D A1 - Arnold, Alice M A1 - Barnes, Michael R A1 - Barratt, Bryan J A1 - Betteridge, John A1 - Boekholdt, S Matthijs A1 - Boerwinkle, Eric A1 - Buckley, Brendan M A1 - Chen, Y-D Ida A1 - de Craen, Anton J M A1 - Cummings, Steven R A1 - Denny, Joshua C A1 - Dubé, Marie Pierre A1 - Durrington, Paul N A1 - Eiriksdottir, Gudny A1 - Ford, Ian A1 - Guo, Xiuqing A1 - Harris, Tamara B A1 - Heckbert, Susan R A1 - Hofman, Albert A1 - Hovingh, G Kees A1 - Kastelein, John J P A1 - Launer, Leonore J A1 - Liu, Ching-Ti A1 - Liu, Yongmei A1 - Lumley, Thomas A1 - McKeigue, Paul M A1 - Munroe, Patricia B A1 - Neil, Andrew A1 - Nickerson, Deborah A A1 - Nyberg, Fredrik A1 - O'Brien, Eoin A1 - O'Donnell, Christopher J A1 - Post, Wendy A1 - Poulter, Neil A1 - Vasan, Ramachandran S A1 - Rice, Kenneth A1 - Rich, Stephen S A1 - Rivadeneira, Fernando A1 - Sattar, Naveed A1 - Sever, Peter A1 - Shaw-Hawkins, Sue A1 - Shields, Denis C A1 - Slagboom, P Eline A1 - Smith, Nicholas L A1 - Smith, Joshua D A1 - Sotoodehnia, Nona A1 - Stanton, Alice A1 - Stott, David J A1 - Stricker, Bruno H A1 - Stürmer, Til A1 - Uitterlinden, André G A1 - Wei, Wei-Qi A1 - Westendorp, Rudi G J A1 - Whitsel, Eric A A1 - Wiggins, Kerri L A1 - Wilke, Russell A A1 - Ballantyne, Christie M A1 - Colhoun, Helen M A1 - Cupples, L Adrienne A1 - Franco, Oscar H A1 - Gudnason, Vilmundur A1 - Hitman, Graham A1 - Palmer, Colin N A A1 - Psaty, Bruce M A1 - Ridker, Paul M A1 - Stafford, Jeanette M A1 - Stein, Charles M A1 - Tardif, Jean-Claude A1 - Caulfield, Mark J A1 - Jukema, J Wouter A1 - Rotter, Jerome I A1 - Krauss, Ronald M AB -

BACKGROUND: In addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation.

METHODS AND RESULTS: We performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p<1×10(-4) from the 16 769 statin-treated participants in the first analysis stage were followed up in an independent group of 10 951 statin-treated individuals, providing a total sample size of 27 720 individuals. The only associations of genome-wide significance (p<5×10(-8)) were between minor alleles at the CETP locus and greater HDL-C response to statin treatment.

CONCLUSIONS: Based on results from this study that included a relatively large sample size, we suggest that CETP may be the only detectable locus with common genetic variants that influence HDL-C response to statins substantially in individuals of European descent. Although CETP is known to be associated with HDL-C, we provide evidence that this pharmacogenetic effect is independent of its association with baseline HDL-C levels.

VL - 53 IS - 12 ER - TY - JOUR T1 - Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis. JF - Circ Cardiovasc Genet Y1 - 2016 A1 - Natarajan, Pradeep A1 - Bis, Joshua C A1 - Bielak, Lawrence F A1 - Cox, Amanda J A1 - Dörr, Marcus A1 - Feitosa, Mary F A1 - Franceschini, Nora A1 - Guo, Xiuqing A1 - Hwang, Shih-Jen A1 - Isaacs, Aaron A1 - Jhun, Min A A1 - Kavousi, Maryam A1 - Li-Gao, Ruifang A1 - Lyytikäinen, Leo-Pekka A1 - Marioni, Riccardo E A1 - Schminke, Ulf A1 - Stitziel, Nathan O A1 - Tada, Hayato A1 - van Setten, Jessica A1 - Smith, Albert V A1 - Vojinovic, Dina A1 - Yanek, Lisa R A1 - Yao, Jie A1 - Yerges-Armstrong, Laura M A1 - Amin, Najaf A1 - Baber, Usman A1 - Borecki, Ingrid B A1 - Carr, J Jeffrey A1 - Chen, Yii-Der Ida A1 - Cupples, L Adrienne A1 - de Jong, Pim A A1 - de Koning, Harry A1 - de Vos, Bob D A1 - Demirkan, Ayse A1 - Fuster, Valentin A1 - Franco, Oscar H A1 - Goodarzi, Mark O A1 - Harris, Tamara B A1 - Heckbert, Susan R A1 - Heiss, Gerardo A1 - Hoffmann, Udo A1 - Hofman, Albert A1 - Išgum, Ivana A1 - Jukema, J Wouter A1 - Kähönen, Mika A1 - Kardia, Sharon L R A1 - Kral, Brian G A1 - Launer, Lenore J A1 - Massaro, Joseph A1 - Mehran, Roxana A1 - Mitchell, Braxton D A1 - Mosley, Thomas H A1 - de Mutsert, Renée A1 - Newman, Anne B A1 - Nguyen, Khanh-Dung A1 - North, Kari E A1 - O'Connell, Jeffrey R A1 - Oudkerk, Matthijs A1 - Pankow, James S A1 - Peloso, Gina M A1 - Post, Wendy A1 - Province, Michael A A1 - Raffield, Laura M A1 - Raitakari, Olli T A1 - Reilly, Dermot F A1 - Rivadeneira, Fernando A1 - Rosendaal, Frits A1 - Sartori, Samantha A1 - Taylor, Kent D A1 - Teumer, Alexander A1 - Trompet, Stella A1 - Turner, Stephen T A1 - Uitterlinden, André G A1 - Vaidya, Dhananjay A1 - van der Lugt, Aad A1 - Völker, Uwe A1 - Wardlaw, Joanna M A1 - Wassel, Christina L A1 - Weiss, Stefan A1 - Wojczynski, Mary K A1 - Becker, Diane M A1 - Becker, Lewis C A1 - Boerwinkle, Eric A1 - Bowden, Donald W A1 - Deary, Ian J A1 - Dehghan, Abbas A1 - Felix, Stephan B A1 - Gudnason, Vilmundur A1 - Lehtimäki, Terho A1 - Mathias, Rasika A1 - Mook-Kanamori, Dennis O A1 - Psaty, Bruce M A1 - Rader, Daniel J A1 - Rotter, Jerome I A1 - Wilson, James G A1 - van Duijn, Cornelia M A1 - Völzke, Henry A1 - Kathiresan, Sekar A1 - Peyser, Patricia A A1 - O'Donnell, Christopher J AB -

BACKGROUND: -The burden of subclinical atherosclerosis in asymptomatic individuals is heritable and associated with elevated risk of developing clinical coronary heart disease (CHD). We sought to identify genetic variants in protein-coding regions associated with subclinical atherosclerosis and the risk of subsequent CHD.

METHODS AND RESULTS: -We studied a total of 25,109 European ancestry and African-American participants with coronary artery calcification (CAC) measured by cardiac computed tomography and 52,869 with common carotid intima media thickness (CIMT) measured by ultrasonography within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Participants were genotyped for 247,870 DNA sequence variants (231,539 in exons) across the genome. A meta-analysis of exome-wide association studies was performed across cohorts for CAC and CIMT. APOB p.Arg3527Gln was associated with four-fold excess CAC (P = 3×10(-10)). The APOE ε2 allele (p.Arg176Cys) was associated with both 22.3% reduced CAC (P = 1×10(-12)) and 1.4% reduced CIMT (P = 4×10(-14)) in carriers compared with non-carriers. In secondary analyses conditioning on LDL cholesterol concentration, the ε2 protective association with CAC, although attenuated, remained strongly significant. Additionally, the presence of ε2 was associated with reduced risk for CHD (OR 0.77; P = 1×10(-11)).

CONCLUSIONS: -Exome-wide association meta-analysis demonstrates that protein-coding variants in APOB and APOE associate with subclinical atherosclerosis. APOE ε2 represents the first significant association for multiple subclinical atherosclerosis traits across multiple ethnicities as well as clinical CHD.

ER - TY - JOUR T1 - Rare Exome Sequence Variants in CLCN6 Reduce Blood Pressure Levels and Hypertension Risk. JF - Circ Cardiovasc Genet Y1 - 2016 A1 - Yu, Bing A1 - Pulit, Sara L A1 - Hwang, Shih-Jen A1 - Brody, Jennifer A A1 - Amin, Najaf A1 - Auer, Paul L A1 - Bis, Joshua C A1 - Boerwinkle, Eric A1 - Burke, Gregory L A1 - Chakravarti, Aravinda A1 - Correa, Adolfo A1 - Dreisbach, Albert W A1 - Franco, Oscar H A1 - Ehret, Georg B A1 - Franceschini, Nora A1 - Hofman, Albert A1 - Lin, Dan-Yu A1 - Metcalf, Ginger A A1 - Musani, Solomon K A1 - Muzny, Donna A1 - Palmas, Walter A1 - Raffel, Leslie A1 - Reiner, Alex A1 - Rice, Ken A1 - Rotter, Jerome I A1 - Veeraraghavan, Narayanan A1 - Fox, Ervin A1 - Guo, Xiuqing A1 - North, Kari E A1 - Gibbs, Richard A A1 - van Duijn, Cornelia M A1 - Psaty, Bruce M A1 - Levy, Daniel A1 - Newton-Cheh, Christopher A1 - Morrison, Alanna C AB -

BACKGROUND: Rare genetic variants influence blood pressure (BP).

METHODS AND RESULTS: Whole-exome sequencing was performed on DNA samples from 17 956 individuals of European ancestry and African ancestry (14 497, first-stage discovery and 3459, second-stage discovery) to examine the effect of rare variants on hypertension and 4 BP traits: systolic BP, diastolic BP, pulse pressure, and mean arterial pressure. Tests of ≈170 000 common variants (minor allele frequency, ≥1%; statistical significance, P≤2.9×10(-7)) and gene-based tests of rare variants (minor allele frequency, <1%; ≈17 000 genes; statistical significance, P≤1.5×10(-6)) were evaluated for each trait and ancestry, followed by multiethnic meta-analyses. In the first-stage discovery, rare coding variants (splicing, stop-gain, stop-loss, nonsynonymous variants, or indels) in CLCN6 were associated with lower diastolic BP (cumulative minor allele frequency, 1.3%; β=-3.20; P=4.1×10(-6)) and were independent of a nearby common variant (rs17367504) previously associated with BP. CLCN6 rare variants were also associated with lower systolic BP (β=-4.11; P=2.8×10(-4)), mean arterial pressure (β=-3.50; P=8.9×10(-6)), and reduced hypertension risk (odds ratio, 0.72; P=0.017). Meta-analysis of the 2-stage discovery samples showed that CLCN6 was associated with lower diastolic BP at exome-wide significance (cumulative minor allele frequency, 1.1%; β=-3.30; P=5.0×10(-7)).

CONCLUSIONS: These findings implicate the effect of rare coding variants in CLCN6 in BP variation and offer new insights into BP regulation.

VL - 9 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26658788?dopt=Abstract ER - TY - JOUR T1 - Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin. JF - Am J Hum Genet Y1 - 2016 A1 - Liu, Ching-Ti A1 - Raghavan, Sridharan A1 - Maruthur, Nisa A1 - Kabagambe, Edmond Kato A1 - Hong, Jaeyoung A1 - Ng, Maggie C Y A1 - Hivert, Marie-France A1 - Lu, Yingchang A1 - An, Ping A1 - Bentley, Amy R A1 - Drolet, Anne M A1 - Gaulton, Kyle J A1 - Guo, Xiuqing A1 - Armstrong, Loren L A1 - Irvin, Marguerite R A1 - Li, Man A1 - Lipovich, Leonard A1 - Rybin, Denis V A1 - Taylor, Kent D A1 - Agyemang, Charles A1 - Palmer, Nicholette D A1 - Cade, Brian E A1 - Chen, Wei-Min A1 - Dauriz, Marco A1 - Delaney, Joseph A C A1 - Edwards, Todd L A1 - Evans, Daniel S A1 - Evans, Michele K A1 - Lange, Leslie A A1 - Leong, Aaron A1 - Liu, Jingmin A1 - Liu, Yongmei A1 - Nayak, Uma A1 - Patel, Sanjay R A1 - Porneala, Bianca C A1 - Rasmussen-Torvik, Laura J A1 - Snijder, Marieke B A1 - Stallings, Sarah C A1 - Tanaka, Toshiko A1 - Yanek, Lisa R A1 - Zhao, Wei A1 - Becker, Diane M A1 - Bielak, Lawrence F A1 - Biggs, Mary L A1 - Bottinger, Erwin P A1 - Bowden, Donald W A1 - Chen, Guanjie A1 - Correa, Adolfo A1 - Couper, David J A1 - Crawford, Dana C A1 - Cushman, Mary A1 - Eicher, John D A1 - Fornage, Myriam A1 - Franceschini, Nora A1 - Fu, Yi-Ping A1 - Goodarzi, Mark O A1 - Gottesman, Omri A1 - Hara, Kazuo A1 - Harris, Tamara B A1 - Jensen, Richard A A1 - Johnson, Andrew D A1 - Jhun, Min A A1 - Karter, Andrew J A1 - Keller, Margaux F A1 - Kho, Abel N A1 - Kizer, Jorge R A1 - Krauss, Ronald M A1 - Langefeld, Carl D A1 - Li, Xiaohui A1 - Liang, Jingling A1 - Liu, Simin A1 - Lowe, William L A1 - Mosley, Thomas H A1 - North, Kari E A1 - Pacheco, Jennifer A A1 - Peyser, Patricia A A1 - Patrick, Alan L A1 - Rice, Kenneth M A1 - Selvin, Elizabeth A1 - Sims, Mario A1 - Smith, Jennifer A A1 - Tajuddin, Salman M A1 - Vaidya, Dhananjay A1 - Wren, Mary P A1 - Yao, Jie A1 - Zhu, Xiaofeng A1 - Ziegler, Julie T A1 - Zmuda, Joseph M A1 - Zonderman, Alan B A1 - Zwinderman, Aeilko H A1 - Adeyemo, Adebowale A1 - Boerwinkle, Eric A1 - Ferrucci, Luigi A1 - Hayes, M Geoffrey A1 - Kardia, Sharon L R A1 - Miljkovic, Iva A1 - Pankow, James S A1 - Rotimi, Charles N A1 - Sale, Michèle M A1 - Wagenknecht, Lynne E A1 - Arnett, Donna K A1 - Chen, Yii-Der Ida A1 - Nalls, Michael A A1 - Province, Michael A A1 - Kao, W H Linda A1 - Siscovick, David S A1 - Psaty, Bruce M A1 - Wilson, James G A1 - Loos, Ruth J F A1 - Dupuis, Josée A1 - Rich, Stephen S A1 - Florez, Jose C A1 - Rotter, Jerome I A1 - Morris, Andrew P A1 - Meigs, James B AB -

Knowledge of the genetic basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI) in African ancestry (AA) individuals has been limited. In non-diabetic subjects of AA (n = 20,209) and European ancestry (EA; n = 57,292), we performed trans-ethnic (AA+EA) fine-mapping of 54 established EA FG or FI loci with detailed functional annotation, assessed their relevance in AA individuals, and sought previously undescribed loci through trans-ethnic (AA+EA) meta-analysis. We narrowed credible sets of variants driving association signals for 22/54 EA-associated loci; 18/22 credible sets overlapped with active islet-specific enhancers or transcription factor (TF) binding sites, and 21/22 contained at least one TF motif. Of the 54 EA-associated loci, 23 were shared between EA and AA. Replication with an additional 10,096 AA individuals identified two previously undescribed FI loci, chrX FAM133A (rs213676) and chr5 PELO (rs6450057). Trans-ethnic analyses with regulatory annotation illuminate the genetic architecture of glycemic traits and suggest gene regulation as a target to advance precision medicine for T2D. Our approach to utilize state-of-the-art functional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offers a framework for further follow-up and characterization of GWAS signals of complex trait loci.

VL - 99 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/27321945?dopt=Abstract ER - TY - JOUR T1 - Detection of genetic loci associated with plasma fetuin-A: A meta-analysis of genome-wide association studies from the CHARGE Consortium. JF - Hum Mol Genet Y1 - 2017 A1 - Jensen, Majken K A1 - Jensen, Richard A A1 - Mukamal, Kenneth J A1 - Guo, Xiuqing A1 - Yao, Jie A1 - Sun, Qi A1 - Cornelis, Marilyn A1 - Liu, Yongmei A1 - Chen, Ming-Huei A1 - Kizer, Jorge R A1 - Djoussé, Luc A1 - Siscovick, David S A1 - Psaty, Bruce M A1 - Zmuda, Joseph M A1 - Rotter, Jerome I A1 - Garcia, Melissa A1 - Harris, Tamara A1 - Chen, Ida A1 - Goodarzi, Mark O A1 - Nalls, Michael A A1 - Keller, Margaux A1 - Arnold, Alice M A1 - Newman, Anne A1 - Hoogeeven, Ron C A1 - Rexrode, Kathryn M A1 - Rimm, Eric B A1 - Hu, Frank B A1 - Vasan, Ramachandran S A1 - Katz, Ronit A1 - Pankow, James S A1 - Ix, Joachim H AB -

Plasma fetuin-A is associated with type 2 diabetes, and AHSG, the gene encoding fetuin-A, has been identified as a susceptibility locus for diabetes and metabolic syndrome. Thus far, unbiased investigations of the genetic determinants of plasma fetuin-A concentrations have not been conducted. We searched for single nucleotide polymorphisms (SNPs) related to fetuin-A concentrations by a genome-wide association study in six population-based studies.We examined the association of fetuin-A levels with ∼ 2.5 million genotyped and imputed SNPs in 9,055 participants of European descent and 2,119 African Americans. In both ethnicities, strongest associations were centered in a region with a high degree of LD near the AHSG locus. Among 136 genome-wide significant (p < 0.05x10-8) SNPs near the AHSG locus, the top SNP was rs4917 (p = 1.27x10-303), a known coding SNP in exon 6 that is associated with a 0.06 g/L (∼13%) lower fetuin-A level. This variant alone explained 14% of the variation in fetuin-A levels. Analyses conditioned on rs4917 indicated that the strong association with the AHSG locus stems from additional independent associations of multiple variants among European Americans. In conclusion, levels of fetuin-A in plasma are strongly associated with SNPs in its encoding gene, AHSG, but not elsewhere in the genome. Given the strength of the associations observed for multiple independent SNPs, the AHSG gene is an example of a candidate locus suitable for additional investigations including fine mapping to elucidate the biological basis of the findings and further functional experiments to clarify AHSG as a potential therapeutic target.

ER - TY - JOUR T1 - Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African ancestry anthropometry genetics consortium. JF - PLoS Genet Y1 - 2017 A1 - Ng, Maggie C Y A1 - Graff, Mariaelisa A1 - Lu, Yingchang A1 - Justice, Anne E A1 - Mudgal, Poorva A1 - Liu, Ching-Ti A1 - Young, Kristin A1 - Yanek, Lisa R A1 - Feitosa, Mary F A1 - Wojczynski, Mary K A1 - Rand, Kristin A1 - Brody, Jennifer A A1 - Cade, Brian E A1 - Dimitrov, Latchezar A1 - Duan, Qing A1 - Guo, Xiuqing A1 - Lange, Leslie A A1 - Nalls, Michael A A1 - Okut, Hayrettin A1 - Tajuddin, Salman M A1 - Tayo, Bamidele O A1 - Vedantam, Sailaja A1 - Bradfield, Jonathan P A1 - Chen, Guanjie A1 - Chen, Wei-Min A1 - Chesi, Alessandra A1 - Irvin, Marguerite R A1 - Padhukasahasram, Badri A1 - Smith, Jennifer A A1 - Zheng, Wei A1 - Allison, Matthew A A1 - Ambrosone, Christine B A1 - Bandera, Elisa V A1 - Bartz, Traci M A1 - Berndt, Sonja I A1 - Bernstein, Leslie A1 - Blot, William J A1 - Bottinger, Erwin P A1 - Carpten, John A1 - Chanock, Stephen J A1 - Chen, Yii-Der Ida A1 - Conti, David V A1 - Cooper, Richard S A1 - Fornage, Myriam A1 - Freedman, Barry I A1 - Garcia, Melissa A1 - Goodman, Phyllis J A1 - Hsu, Yu-Han H A1 - Hu, Jennifer A1 - Huff, Chad D A1 - Ingles, Sue A A1 - John, Esther M A1 - Kittles, Rick A1 - Klein, Eric A1 - Li, Jin A1 - McKnight, Barbara A1 - Nayak, Uma A1 - Nemesure, Barbara A1 - Ogunniyi, Adesola A1 - Olshan, Andrew A1 - Press, Michael F A1 - Rohde, Rebecca A1 - Rybicki, Benjamin A A1 - Salako, Babatunde A1 - Sanderson, Maureen A1 - Shao, Yaming A1 - Siscovick, David S A1 - Stanford, Janet L A1 - Stevens, Victoria L A1 - Stram, Alex A1 - Strom, Sara S A1 - Vaidya, Dhananjay A1 - Witte, John S A1 - Yao, Jie A1 - Zhu, Xiaofeng A1 - Ziegler, Regina G A1 - Zonderman, Alan B A1 - Adeyemo, Adebowale A1 - Ambs, Stefan A1 - Cushman, Mary A1 - Faul, Jessica D A1 - Hakonarson, Hakon A1 - Levin, Albert M A1 - Nathanson, Katherine L A1 - Ware, Erin B A1 - Weir, David R A1 - Zhao, Wei A1 - Zhi, Degui A1 - Arnett, Donna K A1 - Grant, Struan F A A1 - Kardia, Sharon L R A1 - Oloapde, Olufunmilayo I A1 - Rao, D C A1 - Rotimi, Charles N A1 - Sale, Michèle M A1 - Williams, L Keoki A1 - Zemel, Babette S A1 - Becker, Diane M A1 - Borecki, Ingrid B A1 - Evans, Michele K A1 - Harris, Tamara B A1 - Hirschhorn, Joel N A1 - Li, Yun A1 - Patel, Sanjay R A1 - Psaty, Bruce M A1 - Rotter, Jerome I A1 - Wilson, James G A1 - Bowden, Donald W A1 - Cupples, L Adrienne A1 - Haiman, Christopher A A1 - Loos, Ruth J F A1 - North, Kari E AB -

Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMI and eight previously established loci at P < 5×10-8: seven for BMI, and one for WHRadjBMI in African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMI when combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI (SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (<5%). In the trans-ethnic fine mapping of 47 BMI loci and 27 WHRadjBMI loci that were locus-wide significant (P < 0.05 adjusted for effective number of variants per locus) from the African ancestry sex-combined and sex-stratified analyses, 26 BMI loci and 17 WHRadjBMI loci contained ≤ 20 variants in the credible sets that jointly account for 99% posterior probability of driving the associations. The lead variants in 13 of these loci had a high probability of being causal. As compared to our previous HapMap imputed GWAS for BMI and WHRadjBMI including up to 71,412 and 27,350 African ancestry individuals, respectively, our results suggest that 1000 Genomes imputation showed modest improvement in identifying GWAS loci including low frequency variants. Trans-ethnic meta-analyses further improved fine mapping of putative causal variants in loci shared between the African and European ancestry populations.

VL - 13 IS - 4 ER - TY - JOUR T1 - Discovery of novel heart rate-associated loci using the Exome Chip. JF - Hum Mol Genet Y1 - 2017 A1 - van den Berg, Marten E A1 - Warren, Helen R A1 - Cabrera, Claudia P A1 - Verweij, Niek A1 - Mifsud, Borbala A1 - Haessler, Jeffrey A1 - Bihlmeyer, Nathan A A1 - Fu, Yi-Ping A1 - Weiss, Stefan A1 - Lin, Henry J A1 - Grarup, Niels A1 - Li-Gao, Ruifang A1 - Pistis, Giorgio A1 - Shah, Nabi A1 - Brody, Jennifer A A1 - Müller-Nurasyid, Martina A1 - Lin, Honghuang A1 - Mei, Hao A1 - Smith, Albert V A1 - Lyytikäinen, Leo-Pekka A1 - Hall, Leanne M A1 - van Setten, Jessica A1 - Trompet, Stella A1 - Prins, Bram P A1 - Isaacs, Aaron A1 - Radmanesh, Farid A1 - Marten, Jonathan A1 - Entwistle, Aiman A1 - Kors, Jan A A1 - Silva, Claudia T A1 - Alonso, Alvaro A1 - Bis, Joshua C A1 - de Boer, Rudolf A1 - de Haan, Hugoline G A1 - de Mutsert, Renée A1 - Dedoussis, George A1 - Dominiczak, Anna F A1 - Doney, Alex S F A1 - Ellinor, Patrick T A1 - Eppinga, Ruben N A1 - Felix, Stephan B A1 - Guo, Xiuqing A1 - Hagemeijer, Yanick A1 - Hansen, Torben A1 - Harris, Tamara B A1 - Heckbert, Susan R A1 - Huang, Paul L A1 - Hwang, Shih-Jen A1 - Kähönen, Mika A1 - Kanters, Jørgen K A1 - Kolcic, Ivana A1 - Launer, Lenore J A1 - Li, Man A1 - Yao, Jie A1 - Linneberg, Allan A1 - Liu, Simin A1 - Macfarlane, Peter W A1 - Mangino, Massimo A1 - Morris, Andrew D A1 - Mulas, Antonella A1 - Murray, Alison D A1 - Nelson, Christopher P A1 - Orrù, Marco A1 - Padmanabhan, Sandosh A1 - Peters, Annette A1 - Porteous, David J A1 - Poulter, Neil A1 - Psaty, Bruce M A1 - Qi, Lihong A1 - Raitakari, Olli T A1 - Rivadeneira, Fernando A1 - Roselli, Carolina A1 - Rudan, Igor A1 - Sattar, Naveed A1 - Sever, Peter A1 - Sinner, Moritz F A1 - Soliman, Elsayed Z A1 - Spector, Timothy D A1 - Stanton, Alice V A1 - Stirrups, Kathleen E A1 - Taylor, Kent D A1 - Tobin, Martin D A1 - Uitterlinden, Andre A1 - Vaartjes, Ilonca A1 - Hoes, Arno W A1 - van der Meer, Peter A1 - Völker, Uwe A1 - Waldenberger, Melanie A1 - Xie, Zhijun A1 - Zoledziewska, Magdalena A1 - Tinker, Andrew A1 - Polasek, Ozren A1 - Rosand, Jonathan A1 - Jamshidi, Yalda A1 - van Duijn, Cornelia M A1 - Zeggini, Eleftheria A1 - Wouter Jukema, J A1 - Asselbergs, Folkert W A1 - Samani, Nilesh J A1 - Lehtimäki, Terho A1 - Gudnason, Vilmundur A1 - Wilson, James A1 - Lubitz, Steven A A1 - Kääb, Stefan A1 - Sotoodehnia, Nona A1 - Caulfield, Mark J A1 - Palmer, Colin N A A1 - Sanna, Serena A1 - Mook-Kanamori, Dennis O A1 - Deloukas, Panos A1 - Pedersen, Oluf A1 - Rotter, Jerome I A1 - Dörr, Marcus A1 - O'Donnell, Chris J A1 - Hayward, Caroline A1 - Arking, Dan E A1 - Kooperberg, Charles A1 - van der Harst, Pim A1 - Eijgelsheim, Mark A1 - Stricker, Bruno H A1 - Munroe, Patricia B AB -

Background Resting heart rate is a heritable trait, and an increase in heart rate is associated with increased mortality risk. GWAS analyses have found loci associated with resting heart rate, at the time of our study these loci explained 0.9% of the variation.Aim To discover new genetic loci associated with heart rate from Exome Chip meta-analyses.Methods Heart rate was measured from either elecrtrocardiograms or pulse recordings. We meta-analysed heart rate association results from 104,452 European-ancestry individuals from 30 cohorts, genotyped using the Exome Chip. Twenty-four variants were selected for follow-up in an independent dataset (UK Biobank, N = 134,251). Conditional and gene-based testing was undertaken, and variants were investigated with bioinformatics methods.Results We discovered five novel heart rate loci, and one new independent low-frequency non-synonymous variant in an established heart rate locus (KIAA1755). Lead variants in four of the novel loci are non-synonymous variants in the genes C10orf71, DALDR3, TESK2, SEC31B. The variant at SEC31B is significantly associated with SEC31B expression in heart and tibial nerve tissue. Further candidate genes were detected from long range regulatory chromatin interactions in heart tissue (SCD, SLF2, MAPK8). We observed significant enrichment in DNase I hypersensitive sites in fetal heart and lung. Moreover, enrichment was seen for the first time in human neuronal progenitor cells (derived from embryonic stem cells) and fetal muscle samples by including our novel variants.Conclusion Our findings advance the knowledge of the genetic architecture of heart rate, and indicate new candidate genes for follow-up functional studies.

ER - TY - JOUR T1 - DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation. JF - Am J Hum Genet Y1 - 2017 A1 - Richard, Melissa A A1 - Huan, Tianxiao A1 - Ligthart, Symen A1 - Gondalia, Rahul A1 - Jhun, Min A A1 - Brody, Jennifer A A1 - Irvin, Marguerite R A1 - Marioni, Riccardo A1 - Shen, Jincheng A1 - Tsai, Pei-Chien A1 - Montasser, May E A1 - Jia, Yucheng A1 - Syme, Catriona A1 - Salfati, Elias L A1 - Boerwinkle, Eric A1 - Guan, Weihua A1 - Mosley, Thomas H A1 - Bressler, Jan A1 - Morrison, Alanna C A1 - Liu, Chunyu A1 - Mendelson, Michael M A1 - Uitterlinden, André G A1 - van Meurs, Joyce B A1 - Franco, Oscar H A1 - Zhang, Guosheng A1 - Li, Yun A1 - Stewart, James D A1 - Bis, Joshua C A1 - Psaty, Bruce M A1 - Chen, Yii-Der Ida A1 - Kardia, Sharon L R A1 - Zhao, Wei A1 - Turner, Stephen T A1 - Absher, Devin A1 - Aslibekyan, Stella A1 - Starr, John M A1 - McRae, Allan F A1 - Hou, Lifang A1 - Just, Allan C A1 - Schwartz, Joel D A1 - Vokonas, Pantel S A1 - Menni, Cristina A1 - Spector, Tim D A1 - Shuldiner, Alan A1 - Damcott, Coleen M A1 - Rotter, Jerome I A1 - Palmas, Walter A1 - Liu, Yongmei A1 - Paus, Tomáš A1 - Horvath, Steve A1 - O'Connell, Jeffrey R A1 - Guo, Xiuqing A1 - Pausova, Zdenka A1 - Assimes, Themistocles L A1 - Sotoodehnia, Nona A1 - Smith, Jennifer A A1 - Arnett, Donna K A1 - Deary, Ian J A1 - Baccarelli, Andrea A A1 - Bell, Jordana T A1 - Whitsel, Eric A1 - Dehghan, Abbas A1 - Levy, Daniel A1 - Fornage, Myriam KW - Aged KW - Blood Pressure KW - CpG Islands KW - Cross-Sectional Studies KW - DNA Methylation KW - Epigenesis, Genetic KW - Genetic Variation KW - Genome-Wide Association Study KW - Humans KW - Mendelian Randomization Analysis KW - Middle Aged KW - Nerve Tissue Proteins KW - Quantitative Trait Loci KW - Tetraspanins AB -

Genome-wide association studies have identified hundreds of genetic variants associated with blood pressure (BP), but sequence variation accounts for a small fraction of the phenotypic variance. Epigenetic changes may alter the expression of genes involved in BP regulation and explain part of the missing heritability. We therefore conducted a two-stage meta-analysis of the cross-sectional associations of systolic and diastolic BP with blood-derived genome-wide DNA methylation measured on the Infinium HumanMethylation450 BeadChip in 17,010 individuals of European, African American, and Hispanic ancestry. Of 31 discovery-stage cytosine-phosphate-guanine (CpG) dinucleotides, 13 replicated after Bonferroni correction (discovery: N = 9,828, p < 1.0 × 10-7; replication: N = 7,182, p < 1.6 × 10-3). The replicated methylation sites are heritable (h2 > 30%) and independent of known BP genetic variants, explaining an additional 1.4% and 2.0% of the interindividual variation in systolic and diastolic BP, respectively. Bidirectional Mendelian randomization among up to 4,513 individuals of European ancestry from 4 cohorts suggested that methylation at cg08035323 (TAF1B-YWHAQ) influences BP, while BP influences methylation at cg00533891 (ZMIZ1), cg00574958 (CPT1A), and cg02711608 (SLC1A5). Gene expression analyses further identified six genes (TSPAN2, SLC7A11, UNC93B1, CPT1A, PTMS, and LPCAT3) with evidence of triangular associations between methylation, gene expression, and BP. Additional integrative Mendelian randomization analyses of gene expression and DNA methylation suggested that the expression of TSPAN2 is a putative mediator of association between DNA methylation at cg23999170 and BP. These findings suggest that heritable DNA methylation plays a role in regulating BP independently of previously known genetic variants.

VL - 101 IS - 6 ER - TY - JOUR T1 - Genetic Interactions with Age, Sex, Body Mass Index, and Hypertension in Relation to Atrial Fibrillation: The AFGen Consortium. JF - Sci Rep Y1 - 2017 A1 - Weng, Lu-Chen A1 - Lunetta, Kathryn L A1 - Müller-Nurasyid, Martina A1 - Smith, Albert Vernon A1 - Thériault, Sébastien A1 - Weeke, Peter E A1 - Barnard, John A1 - Bis, Joshua C A1 - Lyytikäinen, Leo-Pekka A1 - Kleber, Marcus E A1 - Martinsson, Andreas A1 - Lin, Henry J A1 - Rienstra, Michiel A1 - Trompet, Stella A1 - Krijthe, Bouwe P A1 - Dörr, Marcus A1 - Klarin, Derek A1 - Chasman, Daniel I A1 - Sinner, Moritz F A1 - Waldenberger, Melanie A1 - Launer, Lenore J A1 - Harris, Tamara B A1 - Soliman, Elsayed Z A1 - Alonso, Alvaro A1 - Paré, Guillaume A1 - Teixeira, Pedro L A1 - Denny, Joshua C A1 - Shoemaker, M Benjamin A1 - Van Wagoner, David R A1 - Smith, Jonathan D A1 - Psaty, Bruce M A1 - Sotoodehnia, Nona A1 - Taylor, Kent D A1 - Kähönen, Mika A1 - Nikus, Kjell A1 - Delgado, Graciela E A1 - Melander, Olle A1 - Engström, Gunnar A1 - Yao, Jie A1 - Guo, Xiuqing A1 - Christophersen, Ingrid E A1 - Ellinor, Patrick T A1 - Geelhoed, Bastiaan A1 - Verweij, Niek A1 - Macfarlane, Peter A1 - Ford, Ian A1 - Heeringa, Jan A1 - Franco, Oscar H A1 - Uitterlinden, André G A1 - Völker, Uwe A1 - Teumer, Alexander A1 - Rose, Lynda M A1 - Kääb, Stefan A1 - Gudnason, Vilmundur A1 - Arking, Dan E A1 - Conen, David A1 - Roden, Dan M A1 - Chung, Mina K A1 - Heckbert, Susan R A1 - Benjamin, Emelia J A1 - Lehtimäki, Terho A1 - März, Winfried A1 - Smith, J Gustav A1 - Rotter, Jerome I A1 - van der Harst, Pim A1 - Jukema, J Wouter A1 - Stricker, Bruno H A1 - Felix, Stephan B A1 - Albert, Christine M A1 - Lubitz, Steven A AB -

It is unclear whether genetic markers interact with risk factors to influence atrial fibrillation (AF) risk. We performed genome-wide interaction analyses between genetic variants and age, sex, hypertension, and body mass index in the AFGen Consortium. Study-specific results were combined using meta-analysis (88,383 individuals of European descent, including 7,292 with AF). Variants with nominal interaction associations in the discovery analysis were tested for association in four independent studies (131,441 individuals, including 5,722 with AF). In the discovery analysis, the AF risk associated with the minor rs6817105 allele (at the PITX2 locus) was greater among subjects ≤ 65 years of age than among those > 65 years (interaction p-value = 4.0 × 10-5). The interaction p-value exceeded genome-wide significance in combined discovery and replication analyses (interaction p-value = 1.7 × 10-8). We observed one genome-wide significant interaction with body mass index and several suggestive interactions with age, sex, and body mass index in the discovery analysis. However, none was replicated in the independent sample. Our findings suggest that the pathogenesis of AF may differ according to age in individuals of European descent, but we did not observe evidence of statistically significant genetic interactions with sex, body mass index, or hypertension on AF risk.

VL - 7 IS - 1 ER - TY - JOUR T1 - Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study. JF - Diabetes Y1 - 2017 A1 - Sobrin, Lucia A1 - Chong, Yong He A1 - Fan, Qiao A1 - Gan, Alfred A1 - Stanwyck, Lynn K A1 - Kaidonis, Georgia A1 - Craig, Jamie E A1 - Kim, Jihye A1 - Liao, Wen-Ling A1 - Huang, Yu-Chuen A1 - Lee, Wen-Jane A1 - Hung, Yi-Jen A1 - Guo, Xiuqing A1 - Hai, Yang A1 - Ipp, Eli A1 - Pollack, Samuela A1 - Hancock, Heather A1 - Price, Alkes A1 - Penman, Alan A1 - Mitchell, Paul A1 - Liew, Gerald A1 - Smith, Albert V A1 - Gudnason, Vilmundur A1 - Tan, Gavin A1 - Klein, Barbara E K A1 - Kuo, Jane A1 - Li, Xiaohui A1 - Christiansen, Mark W A1 - Psaty, Bruce M A1 - Sandow, Kevin A1 - Jensen, Richard A A1 - Klein, Ronald A1 - Cotch, Mary Frances A1 - Wang, Jie Jin A1 - Jia, Yucheng A1 - Chen, Ching J A1 - Chen, Yii-Der Ida A1 - Rotter, Jerome I A1 - Tsai, Fuu-Jen A1 - Hanis, Craig L A1 - Burdon, Kathryn P A1 - Wong, Tien Yin A1 - Cheng, Ching-Yu KW - Aged KW - Diabetic Retinopathy KW - Female KW - Genome-Wide Association Study KW - Humans KW - Lipids KW - Male KW - Mendelian Randomization Analysis KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Risk AB -

Results from observational studies examining dyslipidemia as a risk factor for diabetic retinopathy (DR) have been inconsistent. We evaluated the causal relationship between plasma lipids and DR using a Mendelian randomization approach. We pooled genome-wide association studies summary statistics from 18 studies for two DR phenotypes: any DR (N = 2,969 case and 4,096 control subjects) and severe DR (N = 1,277 case and 3,980 control subjects). Previously identified lipid-associated single nucleotide polymorphisms served as instrumental variables. Meta-analysis to combine the Mendelian randomization estimates from different cohorts was conducted. There was no statistically significant change in odds ratios of having any DR or severe DR for any of the lipid fractions in the primary analysis that used single nucleotide polymorphisms that did not have a pleiotropic effect on another lipid fraction. Similarly, there was no significant association in the Caucasian and Chinese subgroup analyses. This study did not show evidence of a causal role of the four lipid fractions on DR. However, the study had limited power to detect odds ratios less than 1.23 per SD in genetically induced increase in plasma lipid levels, thus we cannot exclude that causal relationships with more modest effect sizes exist.

VL - 66 IS - 12 ER - TY - JOUR T1 - Genome-Wide Association Study Meta-Analysis of Long-Term Average Blood Pressure in East Asians. JF - Circ Cardiovasc Genet Y1 - 2017 A1 - Li, Changwei A1 - Kim, Yun Kyoung A1 - Dorajoo, Rajkumar A1 - Li, Huaixing A1 - Lee, I-Te A1 - Cheng, Ching-Yu A1 - He, Meian A1 - Sheu, Wayne H-H A1 - Guo, Xiuqing A1 - Ganesh, Santhi K A1 - He, Jiang A1 - Lee, Juyoung A1 - Liu, Jianjun A1 - Hu, Yao A1 - Rao, Dabeeru C A1 - Tsai, Fuu-Jen A1 - Koh, Jia Yu A1 - Hu, Hua A1 - Liang, Kae-Woei A1 - Palmas, Walter A1 - Hixson, James E A1 - Han, Sohee A1 - Teo, Yik-Ying A1 - Wang, Yiqin A1 - Chen, Jing A1 - Lu, Chieh Hsiang A1 - Zheng, Yingfeng A1 - Gui, Lixuan A1 - Lee, Wen-Jane A1 - Yao, Jie A1 - Gu, Dongfeng A1 - Han, Bok-Ghee A1 - Sim, Xueling A1 - Sun, Liang A1 - Zhao, Jinying A1 - Chen, Chien-Hsiun A1 - Kumari, Neelam A1 - He, Yunfeng A1 - Taylor, Kent D A1 - Raffel, Leslie J A1 - Moon, Sanghoon A1 - Rotter, Jerome I A1 - Ida Chen, Yii-Der A1 - Wu, Tangchun A1 - Wong, Tien Yin A1 - Wu, Jer-Yuarn A1 - Lin, Xu A1 - Tai, E-Shyong A1 - Kim, Bong-Jo A1 - Kelly, Tanika N KW - Asian Continental Ancestry Group KW - Blood Pressure KW - Far East KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Male KW - Phenotype KW - Polymorphism, Single Nucleotide AB -

BACKGROUND: Genome-wide single marker and gene-based meta-analyses of long-term average (LTA) blood pressure (BP) phenotypes may reveal novel findings for BP.

METHODS AND RESULTS: We conducted genome-wide analysis among 18 422 East Asian participants (stage 1) followed by replication study of ≤46 629 participants of European ancestry (stage 2). Significant single-nucleotide polymorphisms and genes were determined by a P<5.0×10-8 and 2.5×10-6, respectively, in joint analyses of stage-1 and stage-2 data. We identified 1 novel ARL3 variant, rs4919669 at 10q24.32, influencing LTA systolic BP (stage-1 P=5.03×10-8, stage-2 P=8.64×10-3, joint P=2.63×10-8) and mean arterial pressure (stage-1 P=3.59×10-9, stage-2 P=2.35×10-2, joint P=2.64×10-8). Three previously reported BP loci (WBP1L, NT5C2, and ATP2B1) were also identified for all BP phenotypes. Gene-based analysis provided the first robust evidence for association of KCNJ11 with LTA systolic BP (stage-1 P=8.55×10-6, stage-2 P=1.62×10-5, joint P=3.28×10-9) and mean arterial pressure (stage-1 P=9.19×10-7, stage-2 P=9.69×10-5, joint P=2.15×10-9) phenotypes. Fourteen genes (TMEM180, ACTR1A, SUFU, ARL3, SFXN2, WBP1L, CYP17A1, C10orf32, C10orf32-ASMT, AS3MT, CNNM2, and NT5C2 at 10q24.32; ATP2B1 at 12q21.33; and NCR3LG1 at 11p15.1) implicated by previous genome-wide association study meta-analyses were also identified. Among the loci identified by the previous genome-wide association study meta-analysis of LTA BP, we transethnically replicated associations of the KCNK3 marker rs1275988 at 2p23.3 with LTA systolic BP and mean arterial pressure phenotypes (P=1.27×10-4 and 3.30×10-4, respectively).

CONCLUSIONS: We identified 1 novel variant and 1 novel gene and present the first direct evidence of relevance of the KCNK3 locus for LTA BP among East Asians.

VL - 10 IS - 2 ER - TY - JOUR T1 - Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. JF - PLoS Med Y1 - 2017 A1 - Wheeler, Eleanor A1 - Leong, Aaron A1 - Liu, Ching-Ti A1 - Hivert, Marie-France A1 - Strawbridge, Rona J A1 - Podmore, Clara A1 - Li, Man A1 - Yao, Jie A1 - Sim, Xueling A1 - Hong, Jaeyoung A1 - Chu, Audrey Y A1 - Zhang, Weihua A1 - Wang, Xu A1 - Chen, Peng A1 - Maruthur, Nisa M A1 - Porneala, Bianca C A1 - Sharp, Stephen J A1 - Jia, Yucheng A1 - Kabagambe, Edmond K A1 - Chang, Li-Ching A1 - Chen, Wei-Min A1 - Elks, Cathy E A1 - Evans, Daniel S A1 - Fan, Qiao A1 - Giulianini, Franco A1 - Go, Min Jin A1 - Hottenga, Jouke-Jan A1 - Hu, Yao A1 - Jackson, Anne U A1 - Kanoni, Stavroula A1 - Kim, Young Jin A1 - Kleber, Marcus E A1 - Ladenvall, Claes A1 - Lecoeur, Cécile A1 - Lim, Sing-Hui A1 - Lu, Yingchang A1 - Mahajan, Anubha A1 - Marzi, Carola A1 - Nalls, Mike A A1 - Navarro, Pau A1 - Nolte, Ilja M A1 - Rose, Lynda M A1 - Rybin, Denis V A1 - Sanna, Serena A1 - Shi, Yuan A1 - Stram, Daniel O A1 - Takeuchi, Fumihiko A1 - Tan, Shu Pei A1 - van der Most, Peter J A1 - van Vliet-Ostaptchouk, Jana V A1 - Wong, Andrew A1 - Yengo, Loic A1 - Zhao, Wanting A1 - Goel, Anuj A1 - Martinez Larrad, Maria Teresa A1 - Radke, Dörte A1 - Salo, Perttu A1 - Tanaka, Toshiko A1 - van Iperen, Erik P A A1 - Abecasis, Goncalo A1 - Afaq, Saima A1 - Alizadeh, Behrooz Z A1 - Bertoni, Alain G A1 - Bonnefond, Amélie A1 - Böttcher, Yvonne A1 - Bottinger, Erwin P A1 - Campbell, Harry A1 - Carlson, Olga D A1 - Chen, Chien-Hsiun A1 - Cho, Yoon Shin A1 - Garvey, W Timothy A1 - Gieger, Christian A1 - Goodarzi, Mark O A1 - Grallert, Harald A1 - Hamsten, Anders A1 - Hartman, Catharina A A1 - Herder, Christian A1 - Hsiung, Chao Agnes A1 - Huang, Jie A1 - Igase, Michiya A1 - Isono, Masato A1 - Katsuya, Tomohiro A1 - Khor, Chiea-Chuen A1 - Kiess, Wieland A1 - Kohara, Katsuhiko A1 - Kovacs, Peter A1 - Lee, Juyoung A1 - Lee, Wen-Jane A1 - Lehne, Benjamin A1 - Li, Huaixing A1 - Liu, Jianjun A1 - Lobbens, Stephane A1 - Luan, Jian'an A1 - Lyssenko, Valeriya A1 - Meitinger, Thomas A1 - Miki, Tetsuro A1 - Miljkovic, Iva A1 - Moon, Sanghoon A1 - Mulas, Antonella A1 - Müller, Gabriele A1 - Müller-Nurasyid, Martina A1 - Nagaraja, Ramaiah A1 - Nauck, Matthias A1 - Pankow, James S A1 - Polasek, Ozren A1 - Prokopenko, Inga A1 - Ramos, Paula S A1 - Rasmussen-Torvik, Laura A1 - Rathmann, Wolfgang A1 - Rich, Stephen S A1 - Robertson, Neil R A1 - Roden, Michael A1 - Roussel, Ronan A1 - Rudan, Igor A1 - Scott, Robert A A1 - Scott, William R A1 - Sennblad, Bengt A1 - Siscovick, David S A1 - Strauch, Konstantin A1 - Sun, Liang A1 - Swertz, Morris A1 - Tajuddin, Salman M A1 - Taylor, Kent D A1 - Teo, Yik-Ying A1 - Tham, Yih Chung A1 - Tönjes, Anke A1 - Wareham, Nicholas J A1 - Willemsen, Gonneke A1 - Wilsgaard, Tom A1 - Hingorani, Aroon D A1 - Egan, Josephine A1 - Ferrucci, Luigi A1 - Hovingh, G Kees A1 - Jula, Antti A1 - Kivimaki, Mika A1 - Kumari, Meena A1 - Njølstad, Inger A1 - Palmer, Colin N A A1 - Serrano Ríos, Manuel A1 - Stumvoll, Michael A1 - Watkins, Hugh A1 - Aung, Tin A1 - Blüher, Matthias A1 - Boehnke, Michael A1 - Boomsma, Dorret I A1 - Bornstein, Stefan R A1 - Chambers, John C A1 - Chasman, Daniel I A1 - Chen, Yii-Der Ida A1 - Chen, Yduan-Tsong A1 - Cheng, Ching-Yu A1 - Cucca, Francesco A1 - de Geus, Eco J C A1 - Deloukas, Panos A1 - Evans, Michele K A1 - Fornage, Myriam A1 - Friedlander, Yechiel A1 - Froguel, Philippe A1 - Groop, Leif A1 - Gross, Myron D A1 - Harris, Tamara B A1 - Hayward, Caroline A1 - Heng, Chew-Kiat A1 - Ingelsson, Erik A1 - Kato, Norihiro A1 - Kim, Bong-Jo A1 - Koh, Woon-Puay A1 - Kooner, Jaspal S A1 - Körner, Antje A1 - Kuh, Diana A1 - Kuusisto, Johanna A1 - Laakso, Markku A1 - Lin, Xu A1 - Liu, Yongmei A1 - Loos, Ruth J F A1 - Magnusson, Patrik K E A1 - März, Winfried A1 - McCarthy, Mark I A1 - Oldehinkel, Albertine J A1 - Ong, Ken K A1 - Pedersen, Nancy L A1 - Pereira, Mark A A1 - Peters, Annette A1 - Ridker, Paul M A1 - Sabanayagam, Charumathi A1 - Sale, Michele A1 - Saleheen, Danish A1 - Saltevo, Juha A1 - Schwarz, Peter Eh A1 - Sheu, Wayne H H A1 - Snieder, Harold A1 - Spector, Timothy D A1 - Tabara, Yasuharu A1 - Tuomilehto, Jaakko A1 - van Dam, Rob M A1 - Wilson, James G A1 - Wilson, James F A1 - Wolffenbuttel, Bruce H R A1 - Wong, Tien Yin A1 - Wu, Jer-Yuarn A1 - Yuan, Jian-Min A1 - Zonderman, Alan B A1 - Soranzo, Nicole A1 - Guo, Xiuqing A1 - Roberts, David J A1 - Florez, Jose C A1 - Sladek, Robert A1 - Dupuis, Josée A1 - Morris, Andrew P A1 - Tai, E-Shyong A1 - Selvin, Elizabeth A1 - Rotter, Jerome I A1 - Langenberg, Claudia A1 - Barroso, Inês A1 - Meigs, James B KW - Diabetes Mellitus, Type 2 KW - Genetic Variation KW - Genome-Wide Association Study KW - Glycated Hemoglobin A KW - Humans KW - Phenotype KW - Risk AB -

BACKGROUND: Glycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or glycemic (associated with other glucose-related traits). In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes.

METHODS & FINDINGS: Using genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E) or glycemic variants (GS-G) were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241). Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95% CI 1.04-1.06, per HbA1c-raising allele, p = 3 × 10-29); whereas GS-E was not (OR = 1.00, 95% CI 0.99-1.01, p = 0.60). In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in African Americans, the X-linked G6PD G202A variant (T-allele frequency 11%) was associated with an absolute decrease in HbA1c of 0.81%-units (95% CI 0.66-0.96) per allele in hemizygous men, and 0.68%-units (95% CI 0.38-0.97) in homozygous women. The G6PD variant may cause approximately 2% (N = 0.65 million, 95% CI 0.55-0.74) of African American adults with T2D to remain undiagnosed when screened with HbA1c. Limitations include the smaller sample sizes for non-European ancestries and the inability to classify approximately one-third of the variants. Further studies in large multiethnic cohorts with HbA1c, glycemic, and erythrocytic traits are required to better determine the biological action of the unclassified variants.

CONCLUSIONS: As G6PD deficiency can be clinically silent until illness strikes, we recommend investigation of the possible benefits of screening for the G6PD genotype along with using HbA1c to diagnose T2D in populations of African ancestry or groups where G6PD deficiency is common. Screening with direct glucose measurements, or genetically-informed HbA1c diagnostic thresholds in people with G6PD deficiency, may be required to avoid missed or delayed diagnoses.

VL - 14 IS - 9 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 - New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. JF - Circ Cardiovasc Genet Y1 - 2017 A1 - Kraja, Aldi T A1 - Cook, James P A1 - Warren, Helen R A1 - Surendran, Praveen A1 - Liu, Chunyu A1 - Evangelou, Evangelos A1 - Manning, Alisa K A1 - Grarup, Niels A1 - Drenos, Fotios A1 - Sim, Xueling A1 - Smith, Albert Vernon A1 - Amin, Najaf A1 - Blakemore, Alexandra I F A1 - Bork-Jensen, Jette A1 - Brandslund, Ivan A1 - Farmaki, Aliki-Eleni A1 - Fava, Cristiano A1 - Ferreira, Teresa A1 - Herzig, Karl-Heinz A1 - Giri, Ayush A1 - Giulianini, Franco A1 - Grove, Megan L A1 - Guo, Xiuqing A1 - Harris, Sarah E A1 - Have, Christian T A1 - Havulinna, Aki S A1 - Zhang, He A1 - Jørgensen, Marit E A1 - Käräjämäki, AnneMari A1 - Kooperberg, Charles A1 - Linneberg, Allan A1 - Little, Louis A1 - Liu, Yongmei A1 - Bonnycastle, Lori L A1 - Lu, Yingchang A1 - Mägi, Reedik A1 - Mahajan, Anubha A1 - Malerba, Giovanni A1 - Marioni, Riccardo E A1 - Mei, Hao A1 - Menni, Cristina A1 - Morrison, Alanna C A1 - Padmanabhan, Sandosh A1 - Palmas, Walter A1 - Poveda, Alaitz A1 - Rauramaa, Rainer A1 - Rayner, Nigel William A1 - Riaz, Muhammad A1 - Rice, Ken A1 - Richard, Melissa A A1 - Smith, Jennifer A A1 - Southam, Lorraine A1 - Stančáková, Alena A1 - Stirrups, Kathleen E A1 - Tragante, Vinicius A1 - Tuomi, Tiinamaija A1 - Tzoulaki, Ioanna A1 - Varga, Tibor V A1 - Weiss, Stefan A1 - Yiorkas, Andrianos M A1 - Young, Robin A1 - Zhang, Weihua A1 - Barnes, Michael R A1 - Cabrera, Claudia P A1 - Gao, He A1 - Boehnke, Michael A1 - Boerwinkle, Eric A1 - Chambers, John C A1 - Connell, John M A1 - Christensen, Cramer K A1 - de Boer, Rudolf A A1 - Deary, Ian J A1 - Dedoussis, George A1 - Deloukas, Panos A1 - Dominiczak, Anna F A1 - Dörr, Marcus A1 - Joehanes, Roby A1 - Edwards, Todd L A1 - Esko, Tõnu A1 - Fornage, Myriam A1 - Franceschini, Nora A1 - Franks, Paul W A1 - Gambaro, Giovanni A1 - Groop, Leif A1 - Hallmans, Göran A1 - Hansen, Torben A1 - Hayward, Caroline A1 - Heikki, Oksa A1 - Ingelsson, Erik A1 - Tuomilehto, Jaakko A1 - Jarvelin, Marjo-Riitta A1 - Kardia, Sharon L R A1 - Karpe, Fredrik A1 - Kooner, Jaspal S A1 - Lakka, Timo A A1 - Langenberg, Claudia A1 - Lind, Lars A1 - Loos, Ruth J F A1 - Laakso, Markku A1 - McCarthy, Mark I A1 - Melander, Olle A1 - Mohlke, Karen L A1 - Morris, Andrew P A1 - Palmer, Colin N A A1 - Pedersen, Oluf A1 - Polasek, Ozren A1 - Poulter, Neil R A1 - Province, Michael A A1 - Psaty, Bruce M A1 - Ridker, Paul M A1 - Rotter, Jerome I A1 - Rudan, Igor A1 - Salomaa, Veikko A1 - Samani, Nilesh J A1 - Sever, Peter J A1 - Skaaby, Tea A1 - Stafford, Jeanette M A1 - Starr, John M A1 - van der Harst, Pim A1 - van der Meer, Peter A1 - van Duijn, Cornelia M A1 - Vergnaud, Anne-Claire A1 - Gudnason, Vilmundur A1 - Wareham, Nicholas J A1 - Wilson, James G A1 - Willer, Cristen J A1 - Witte, Daniel R A1 - Zeggini, Eleftheria A1 - Saleheen, Danish A1 - Butterworth, Adam S A1 - Danesh, John A1 - Asselbergs, Folkert W A1 - Wain, Louise V A1 - Ehret, Georg B A1 - Chasman, Daniel I A1 - Caulfield, Mark J A1 - Elliott, Paul A1 - Lindgren, Cecilia M A1 - Levy, Daniel A1 - Newton-Cheh, Christopher A1 - Munroe, Patricia B A1 - Howson, Joanna M M AB -

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

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

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

VL - 10 IS - 5 ER - TY - JOUR T1 - Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney. JF - Hypertension Y1 - 2017 A1 - Wain, Louise V A1 - Vaez, Ahmad A1 - Jansen, Rick A1 - Joehanes, Roby A1 - van der Most, Peter J A1 - Erzurumluoglu, A Mesut A1 - O'Reilly, Paul F A1 - Cabrera, Claudia P A1 - Warren, Helen R A1 - Rose, Lynda M A1 - Verwoert, Germaine C A1 - Hottenga, Jouke-Jan A1 - Strawbridge, Rona J A1 - Esko, Tõnu A1 - Arking, Dan E A1 - Hwang, Shih-Jen A1 - Guo, Xiuqing A1 - Kutalik, Zoltán A1 - Trompet, Stella A1 - Shrine, Nick A1 - Teumer, Alexander A1 - Ried, Janina S A1 - Bis, Joshua C A1 - Smith, Albert V A1 - Amin, Najaf A1 - Nolte, Ilja M A1 - Lyytikäinen, Leo-Pekka A1 - Mahajan, Anubha A1 - Wareham, Nicholas J A1 - Hofer, Edith A1 - Joshi, Peter K A1 - Kristiansson, Kati A1 - Traglia, Michela A1 - Havulinna, Aki S A1 - Goel, Anuj A1 - Nalls, Mike A A1 - Sõber, Siim A1 - Vuckovic, Dragana A1 - Luan, Jian'an A1 - del Greco M, Fabiola A1 - Ayers, Kristin L A1 - Marrugat, Jaume A1 - Ruggiero, Daniela A1 - Lopez, Lorna M A1 - Niiranen, Teemu A1 - Enroth, Stefan A1 - Jackson, Anne U A1 - Nelson, Christopher P A1 - Huffman, Jennifer E A1 - Zhang, Weihua A1 - Marten, Jonathan A1 - Gandin, Ilaria A1 - Harris, Sarah E A1 - Zemunik, Tatijana A1 - Lu, Yingchang A1 - Evangelou, Evangelos A1 - Shah, Nabi A1 - de Borst, Martin H A1 - Mangino, Massimo A1 - Prins, Bram P A1 - Campbell, Archie A1 - Li-Gao, Ruifang A1 - Chauhan, Ganesh A1 - Oldmeadow, Christopher A1 - Abecasis, Goncalo A1 - Abedi, Maryam A1 - Barbieri, Caterina M A1 - Barnes, Michael R A1 - Batini, Chiara A1 - Beilby, John A1 - Blake, Tineka A1 - Boehnke, Michael A1 - Bottinger, Erwin P A1 - Braund, Peter S A1 - Brown, Morris A1 - Brumat, Marco A1 - Campbell, Harry A1 - Chambers, John C A1 - Cocca, Massimiliano A1 - Collins, Francis A1 - Connell, John A1 - Cordell, Heather J A1 - Damman, Jeffrey J A1 - Davies, Gail A1 - de Geus, Eco J A1 - de Mutsert, Renée A1 - Deelen, Joris A1 - Demirkale, Yusuf A1 - Doney, Alex S F A1 - Dörr, Marcus A1 - Farrall, Martin A1 - Ferreira, Teresa A1 - Frånberg, Mattias A1 - Gao, He A1 - Giedraitis, Vilmantas A1 - Gieger, Christian A1 - Giulianini, Franco A1 - Gow, Alan J A1 - Hamsten, Anders A1 - Harris, Tamara B A1 - Hofman, Albert A1 - Holliday, Elizabeth G A1 - Hui, Jennie A1 - Jarvelin, Marjo-Riitta A1 - Johansson, Asa A1 - Johnson, Andrew D A1 - Jousilahti, Pekka A1 - Jula, Antti A1 - Kähönen, Mika A1 - Kathiresan, Sekar A1 - Khaw, Kay-Tee A1 - Kolcic, Ivana A1 - Koskinen, Seppo A1 - Langenberg, Claudia A1 - Larson, Marty A1 - Launer, Lenore J A1 - Lehne, Benjamin A1 - Liewald, David C M A1 - Lin, Li A1 - Lind, Lars A1 - Mach, François A1 - Mamasoula, Chrysovalanto A1 - Menni, Cristina A1 - Mifsud, Borbala A1 - Milaneschi, Yuri A1 - Morgan, Anna A1 - Morris, Andrew D A1 - Morrison, Alanna C A1 - Munson, Peter J A1 - Nandakumar, Priyanka A1 - Nguyen, Quang Tri A1 - Nutile, Teresa A1 - Oldehinkel, Albertine J A1 - Oostra, Ben A A1 - Org, Elin A1 - Padmanabhan, Sandosh A1 - Palotie, Aarno A1 - Paré, Guillaume A1 - Pattie, Alison A1 - Penninx, Brenda W J H A1 - Poulter, Neil A1 - Pramstaller, Peter P A1 - Raitakari, Olli T A1 - Ren, Meixia A1 - Rice, Kenneth A1 - Ridker, Paul M A1 - Riese, Harriëtte A1 - Ripatti, Samuli A1 - Robino, Antonietta A1 - Rotter, Jerome I A1 - Rudan, Igor A1 - Saba, Yasaman A1 - Saint Pierre, Aude A1 - Sala, Cinzia F A1 - Sarin, Antti-Pekka A1 - Schmidt, Reinhold A1 - Scott, Rodney A1 - Seelen, Marc A A1 - Shields, Denis C A1 - Siscovick, David A1 - Sorice, Rossella A1 - Stanton, Alice A1 - Stott, David J A1 - Sundström, Johan A1 - Swertz, Morris A1 - Taylor, Kent D A1 - Thom, Simon A1 - Tzoulaki, Ioanna A1 - Tzourio, Christophe A1 - Uitterlinden, André G A1 - Völker, Uwe A1 - Vollenweider, Peter A1 - Wild, Sarah A1 - Willemsen, Gonneke A1 - Wright, Alan F A1 - Yao, Jie A1 - Thériault, Sébastien A1 - Conen, David A1 - Attia, John A1 - Sever, Peter A1 - Debette, Stephanie A1 - Mook-Kanamori, Dennis O A1 - Zeggini, Eleftheria A1 - Spector, Tim D A1 - van der Harst, Pim A1 - Palmer, Colin N A A1 - Vergnaud, Anne-Claire A1 - Loos, Ruth J F A1 - Polasek, Ozren A1 - Starr, John M A1 - Girotto, Giorgia A1 - Hayward, Caroline A1 - Kooner, Jaspal S A1 - Lindgren, Cecila M A1 - Vitart, Veronique A1 - Samani, Nilesh J A1 - Tuomilehto, Jaakko A1 - Gyllensten, Ulf A1 - Knekt, Paul A1 - Deary, Ian J A1 - Ciullo, Marina A1 - Elosua, Roberto A1 - Keavney, Bernard D A1 - Hicks, Andrew A A1 - Scott, Robert A A1 - Gasparini, Paolo A1 - Laan, Maris A1 - Liu, Yongmei A1 - Watkins, Hugh A1 - Hartman, Catharina A A1 - Salomaa, Veikko A1 - Toniolo, Daniela A1 - Perola, Markus A1 - Wilson, James F A1 - Schmidt, Helena A1 - Zhao, Jing Hua A1 - Lehtimäki, Terho A1 - van Duijn, Cornelia M A1 - Gudnason, Vilmundur A1 - Psaty, Bruce M A1 - Peters, Annette A1 - Rettig, Rainer A1 - James, Alan A1 - Jukema, J Wouter A1 - Strachan, David P A1 - Palmas, Walter A1 - Metspalu, Andres A1 - Ingelsson, Erik A1 - Boomsma, Dorret I A1 - Franco, Oscar H A1 - Bochud, Murielle A1 - Newton-Cheh, Christopher A1 - Munroe, Patricia B A1 - Elliott, Paul A1 - Chasman, Daniel I A1 - Chakravarti, Aravinda A1 - Knight, Joanne A1 - Morris, Andrew P A1 - Levy, Daniel A1 - Tobin, Martin D A1 - Snieder, Harold A1 - Caulfield, Mark J A1 - Ehret, Georg B AB -

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

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 - Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) Study reveals evidence for multiple signals at established loci. JF - Hum Genet Y1 - 2017 A1 - Fernandez-Rhodes, Lindsay A1 - Gong, Jian A1 - Haessler, Jeffrey A1 - Franceschini, Nora A1 - Graff, Mariaelisa A1 - Nishimura, Katherine K A1 - Wang, Yujie A1 - Highland, Heather M A1 - Yoneyama, Sachiko A1 - Bush, William S A1 - Goodloe, Robert A1 - Ritchie, Marylyn D A1 - Crawford, Dana A1 - Gross, Myron A1 - Fornage, Myriam A1 - Bůzková, Petra A1 - Tao, Ran A1 - Isasi, Carmen A1 - Avilés-Santa, Larissa A1 - Daviglus, Martha A1 - Mackey, Rachel H A1 - Houston, Denise A1 - Gu, C Charles A1 - Ehret, Georg A1 - Nguyen, Khanh-Dung H A1 - Lewis, Cora E A1 - Leppert, Mark A1 - Irvin, Marguerite R A1 - Lim, Unhee A1 - Haiman, Christopher A A1 - Le Marchand, Loïc A1 - Schumacher, Fredrick A1 - Wilkens, Lynne A1 - Lu, Yingchang A1 - Bottinger, Erwin P A1 - Loos, Ruth J L A1 - Sheu, Wayne H-H A1 - Guo, Xiuqing A1 - Lee, Wen-Jane A1 - Hai, Yang A1 - Hung, Yi-Jen A1 - Absher, Devin A1 - Wu, I-Chien A1 - Taylor, Kent D A1 - Lee, I-Te A1 - Liu, Yeheng A1 - Wang, Tzung-Dau A1 - Quertermous, Thomas A1 - Juang, Jyh-Ming J A1 - Rotter, Jerome I A1 - Assimes, Themistocles A1 - Hsiung, Chao A A1 - Chen, Yii-Der Ida A1 - Prentice, Ross A1 - Kuller, Lewis H A1 - Manson, JoAnn E A1 - Kooperberg, Charles A1 - Smokowski, Paul A1 - Robinson, Whitney R A1 - Gordon-Larsen, Penny A1 - Li, Rongling A1 - Hindorff, Lucia A1 - Buyske, Steven A1 - Matise, Tara C A1 - Peters, Ulrike A1 - North, Kari E KW - Body Mass Index KW - Ethnic Groups KW - Genetics, Population KW - Humans KW - Obesity AB -

Most body mass index (BMI) genetic loci have been identified in studies of primarily European ancestries. The effect of these loci in other racial/ethnic groups is less clear. Thus, we aimed to characterize the generalizability of 170 established BMI variants, or their proxies, to diverse US populations and trans-ethnically fine-map 36 BMI loci using a sample of >102,000 adults of African, Hispanic/Latino, Asian, European and American Indian/Alaskan Native descent from the Population Architecture using Genomics and Epidemiology Study. We performed linear regression of the natural log of BMI (18.5-70 kg/m(2)) on the additive single nucleotide polymorphisms (SNPs) at BMI loci on the MetaboChip (Illumina, Inc.), adjusting for age, sex, population stratification, study site, or relatedness. We then performed fixed-effect meta-analyses and a Bayesian trans-ethnic meta-analysis to empirically cluster by allele frequency differences. Finally, we approximated conditional and joint associations to test for the presence of secondary signals. We noted directional consistency with the previously reported risk alleles beyond what would have been expected by chance (binomial p < 0.05). Nearly, a quarter of the previously described BMI index SNPs and 29 of 36 densely-genotyped BMI loci on the MetaboChip replicated/generalized in trans-ethnic analyses. We observed multiple signals at nine loci, including the description of seven loci with novel multiple signals. This study supports the generalization of most common genetic loci to diverse ancestral populations and emphasizes the importance of dense multiethnic genomic data in refining the functional variation at genetic loci of interest and describing several loci with multiple underlying genetic variants.

VL - 136 IS - 6 ER - TY - JOUR T1 - Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval. JF - Circ Genom Precis Med Y1 - 2018 A1 - Lin, Honghuang A1 - van Setten, Jessica A1 - Smith, Albert V A1 - Bihlmeyer, Nathan A A1 - Warren, Helen R A1 - Brody, Jennifer A A1 - Radmanesh, Farid A1 - Hall, Leanne A1 - Grarup, Niels A1 - Müller-Nurasyid, Martina A1 - Boutin, Thibaud A1 - Verweij, Niek A1 - Lin, Henry J A1 - Li-Gao, Ruifang A1 - van den Berg, Marten E A1 - Marten, Jonathan A1 - Weiss, Stefan A1 - Prins, Bram P A1 - Haessler, Jeffrey A1 - Lyytikäinen, Leo-Pekka A1 - Mei, Hao A1 - Harris, Tamara B A1 - Launer, Lenore J A1 - Li, Man A1 - Alonso, Alvaro A1 - Soliman, Elsayed Z A1 - Connell, John M A1 - Huang, Paul L A1 - Weng, Lu-Chen A1 - Jameson, Heather S A1 - Hucker, William A1 - Hanley, Alan A1 - Tucker, Nathan R A1 - Chen, Yii-Der Ida A1 - Bis, Joshua C A1 - Rice, Kenneth M A1 - Sitlani, Colleen M A1 - Kors, Jan A A1 - Xie, Zhijun A1 - Wen, Chengping A1 - Magnani, Jared W A1 - Nelson, Christopher P A1 - Kanters, Jørgen K A1 - Sinner, Moritz F A1 - Strauch, Konstantin A1 - Peters, Annette A1 - Waldenberger, Melanie A1 - Meitinger, Thomas A1 - Bork-Jensen, Jette A1 - Pedersen, Oluf A1 - Linneberg, Allan A1 - Rudan, Igor A1 - de Boer, Rudolf A A1 - van der Meer, Peter A1 - Yao, Jie A1 - Guo, Xiuqing A1 - Taylor, Kent D A1 - Sotoodehnia, Nona A1 - Rotter, Jerome I A1 - Mook-Kanamori, Dennis O A1 - Trompet, Stella A1 - Rivadeneira, Fernando A1 - Uitterlinden, Andre A1 - Eijgelsheim, Mark A1 - Padmanabhan, Sandosh A1 - Smith, Blair H A1 - Völzke, Henry A1 - Felix, Stephan B A1 - Homuth, Georg A1 - Völker, Uwe A1 - Mangino, Massimo A1 - Spector, Timothy D A1 - Bots, Michiel L A1 - Perez, Marco A1 - Kähönen, Mika A1 - Raitakari, Olli T A1 - Gudnason, Vilmundur A1 - Arking, Dan E A1 - Munroe, Patricia B A1 - Psaty, Bruce M A1 - van Duijn, Cornelia M A1 - Benjamin, Emelia J A1 - Rosand, Jonathan A1 - Samani, Nilesh J A1 - Hansen, Torben A1 - Kääb, Stefan A1 - Polasek, Ozren A1 - van der Harst, Pim A1 - Heckbert, Susan R A1 - Jukema, J Wouter A1 - Stricker, Bruno H A1 - Hayward, Caroline A1 - Dörr, Marcus A1 - Jamshidi, Yalda A1 - Asselbergs, Folkert W A1 - Kooperberg, Charles A1 - Lehtimäki, Terho A1 - Wilson, James G A1 - Ellinor, Patrick T A1 - Lubitz, Steven A A1 - Isaacs, Aaron AB -

BACKGROUND: Electrical conduction from the cardiac sinoatrial node to the ventricles is critical for normal heart function. Genome-wide association studies have identified more than a dozen common genetic loci that are associated with PR interval. However, it is unclear whether rare and low-frequency variants also contribute to PR interval heritability.

METHODS: We performed large-scale meta-analyses of the PR interval that included 83 367 participants of European ancestry and 9436 of African ancestry. We examined both common and rare variants associated with the PR interval.

RESULTS: We identified 31 genetic loci that were significantly associated with PR interval after Bonferroni correction (<1.2×10), including 11 novel loci that have not been reported previously. Many of these loci are involved in heart morphogenesis. In gene-based analysis, we found that multiple rare variants at (=5.9×10) and (=1.1×10) were associated with PR interval. locus also was implicated in the common variant analysis, whereas was a novel locus.

CONCLUSIONS: We identified common variants at 11 novel loci and rare variants within 2 gene regions that were significantly associated with PR interval. Our findings provide novel insights to the current understanding of atrioventricular conduction, which is critical for cardiac activity and an important determinant of health.

VL - 11 IS - 5 ER - TY - JOUR T1 - DNA methylation age is associated with an altered hemostatic profile in a multi-ethnic meta-analysis. JF - Blood Y1 - 2018 A1 - Ward-Caviness, Cavin K A1 - Huffman, Jennifer E A1 - Evertt, Karl A1 - Germain, Marine A1 - van Dongen, Jenny A1 - Hill, W David A1 - Jhun, Min A A1 - Brody, Jennifer A A1 - Ghanbari, Mohsen A1 - Du, Lei A1 - Roetker, Nicholas S A1 - de Vries, Paul S A1 - Waldenberger, Melanie A1 - Gieger, Christian A1 - Wolf, Petra A1 - Prokisch, Holger A1 - Koenig, Wolfgang A1 - O'Donnell, Christopher J A1 - Levy, Daniel A1 - Liu, Chunyu A1 - Truong, Vinh A1 - Wells, Philip S A1 - Trégouët, David-Alexandre A1 - Tang, Weihong A1 - Morrison, Alanna C A1 - Boerwinkle, Eric A1 - Wiggins, Kerri L A1 - McKnight, Barbara A1 - Guo, Xiuqing A1 - Psaty, Bruce M A1 - Sotoodenia, Nona A1 - Boomsa, Dorret I A1 - Willemsen, Gonneke A1 - Ligthart, Lannie A1 - Deary, Ian J A1 - Zhao, Wei A1 - Ware, Erin B A1 - Kardia, Sharon L R A1 - van Meurs, Joyce B J A1 - Uitterlinden, André G A1 - Franco, Oscar H A1 - Eriksson, Per A1 - Franco-Cereceda, Anders A1 - Pankow, James S A1 - Johnson, Andrew D A1 - Gagnon, France A1 - Morange, Pierre-Emmanuel A1 - de Geus, Eco J C A1 - Starr, John M A1 - Smith, Jennifer A A1 - Dehghan, Abbas A1 - Björck, Hanna M A1 - Smith, Nicholas L A1 - Peters, Annette AB -

Many hemostatic factors are associated with age and age-related diseases, however much remains unknown about the biological mechanisms linking aging and hemostatic factors. DNA methylation is a novel means by which to assess epigenetic aging, which is a measure of age and the aging processes as determined by altered epigenetic states. We used a meta-analysis approach to examine the association between measures of epigenetic aging and hemostatic factors, as well as a clotting time measure. For fibrinogen, we used European and African-ancestry participants who were meta-analyzed separately and combined via a random effects meta-analysis. All other measures only included participants of European-ancestry. We found that 1-year higher extrinsic epigenetic age as compared to chronological age was associated with higher fibrinogen (0.004 g/L per year; 95% CI: 0.001, 0.007; P = 0.01) and plasminogen activator inhibitor 1 (PAI-1; 0.13 U/mL per year; 95% CI: 0.07, 0.20; P = 6.6x10-5) concentrations as well as lower activated partial thromboplastin time, a measure of clotting time. We replicated PAI-1 associations using an independent cohort. To further elucidate potential functional mechanisms we associated epigenetic aging with expression levels of the PAI-1 protein encoding gene (SERPINE1) and the three fibrinogen subunit-encoding genes (FGA, FGG, and FGB), in both peripheral blood and aorta intima-media samples. We observed associations between accelerated epigenetic aging and transcription of FGG in both tissues. Collectively, our results indicate that accelerated epigenetic aging is associated with a pro-coagulation hemostatic profile, and that epigenetic aging may regulate hemostasis in part via gene transcription.

ER - TY - JOUR T1 - Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. JF - Genome Biol Y1 - 2018 A1 - Prins, Bram P A1 - Mead, Timothy J A1 - Brody, Jennifer A A1 - Sveinbjornsson, Gardar A1 - Ntalla, Ioanna A1 - Bihlmeyer, Nathan A A1 - van den Berg, Marten A1 - Bork-Jensen, Jette A1 - Cappellani, Stefania A1 - Van Duijvenboden, Stefan A1 - Klena, Nikolai T A1 - Gabriel, George C A1 - Liu, Xiaoqin A1 - Gulec, Cagri A1 - Grarup, Niels A1 - Haessler, Jeffrey A1 - Hall, Leanne M A1 - Iorio, Annamaria A1 - Isaacs, Aaron A1 - Li-Gao, Ruifang A1 - Lin, Honghuang A1 - Liu, Ching-Ti A1 - Lyytikäinen, Leo-Pekka A1 - Marten, Jonathan A1 - Mei, Hao A1 - Müller-Nurasyid, Martina A1 - Orini, Michele A1 - Padmanabhan, Sandosh A1 - Radmanesh, Farid A1 - Ramirez, Julia A1 - Robino, Antonietta A1 - Schwartz, Molly A1 - van Setten, Jessica A1 - Smith, Albert V A1 - Verweij, Niek A1 - Warren, Helen R A1 - Weiss, Stefan A1 - Alonso, Alvaro A1 - Arnar, David O A1 - Bots, Michiel L A1 - de Boer, Rudolf A A1 - Dominiczak, Anna F A1 - Eijgelsheim, Mark A1 - Ellinor, Patrick T A1 - Guo, Xiuqing A1 - Felix, Stephan B A1 - Harris, Tamara B A1 - Hayward, Caroline A1 - Heckbert, Susan R A1 - Huang, Paul L A1 - Jukema, J W A1 - Kähönen, Mika A1 - Kors, Jan A A1 - Lambiase, Pier D A1 - Launer, Lenore J A1 - Li, Man A1 - Linneberg, Allan A1 - Nelson, Christopher P A1 - Pedersen, Oluf A1 - Perez, Marco A1 - Peters, Annette A1 - Polasek, Ozren A1 - Psaty, Bruce M A1 - Raitakari, Olli T A1 - Rice, Kenneth M A1 - Rotter, Jerome I A1 - Sinner, Moritz F A1 - Soliman, Elsayed Z A1 - Spector, Tim D A1 - Strauch, Konstantin A1 - Thorsteinsdottir, Unnur A1 - Tinker, Andrew A1 - Trompet, Stella A1 - Uitterlinden, Andre A1 - Vaartjes, Ilonca A1 - van der Meer, Peter A1 - Völker, Uwe A1 - Völzke, Henry A1 - Waldenberger, Melanie A1 - Wilson, James G A1 - Xie, Zhijun A1 - Asselbergs, Folkert W A1 - Dörr, Marcus A1 - van Duijn, Cornelia M A1 - Gasparini, Paolo A1 - Gudbjartsson, Daniel F A1 - Gudnason, Vilmundur A1 - Hansen, Torben A1 - Kääb, Stefan A1 - Kanters, Jørgen K A1 - Kooperberg, Charles A1 - Lehtimäki, Terho A1 - Lin, Henry J A1 - Lubitz, Steven A A1 - Mook-Kanamori, Dennis O A1 - Conti, Francesco J A1 - Newton-Cheh, Christopher H A1 - Rosand, Jonathan A1 - Rudan, Igor A1 - Samani, Nilesh J A1 - Sinagra, Gianfranco A1 - Smith, Blair H A1 - Holm, Hilma A1 - Stricker, Bruno H A1 - Ulivi, Sheila A1 - Sotoodehnia, Nona A1 - Apte, Suneel S A1 - van der Harst, Pim A1 - Stefansson, Kari A1 - Munroe, Patricia B A1 - Arking, Dan E A1 - Lo, Cecilia W A1 - Jamshidi, Yalda AB -

BACKGROUND: Genome-wide association studies conducted on QRS duration, an electrocardiographic measurement associated with heart failure and sudden cardiac death, have led to novel biological insights into cardiac function. However, the variants identified fall predominantly in non-coding regions and their underlying mechanisms remain unclear.

RESULTS: Here, we identify putative functional coding variation associated with changes in the QRS interval duration by combining Illumina HumanExome BeadChip genotype data from 77,898 participants of European ancestry and 7695 of African descent in our discovery cohort, followed by replication in 111,874 individuals of European ancestry from the UK Biobank and deCODE cohorts. We identify ten novel loci, seven within coding regions, including ADAMTS6, significantly associated with QRS duration in gene-based analyses. ADAMTS6 encodes a secreted metalloprotease of currently unknown function. In vitro validation analysis shows that the QRS-associated variants lead to impaired ADAMTS6 secretion and loss-of function analysis in mice demonstrates a previously unappreciated role for ADAMTS6 in connexin 43 gap junction expression, which is essential for myocardial conduction.

CONCLUSIONS: Our approach identifies novel coding and non-coding variants underlying ventricular depolarization and provides a possible mechanism for the ADAMTS6-associated conduction changes.

VL - 19 IS - 1 ER - TY - JOUR T1 - ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals. JF - Circ Genom Precis Med Y1 - 2018 A1 - Bihlmeyer, Nathan A A1 - Brody, Jennifer A A1 - Smith, Albert Vernon A1 - Warren, Helen R A1 - Lin, Honghuang A1 - Isaacs, Aaron A1 - Liu, Ching-Ti A1 - Marten, Jonathan A1 - Radmanesh, Farid A1 - Hall, Leanne M A1 - Grarup, Niels A1 - Mei, Hao A1 - Müller-Nurasyid, Martina A1 - Huffman, Jennifer E A1 - Verweij, Niek A1 - Guo, Xiuqing A1 - Yao, Jie A1 - Li-Gao, Ruifang A1 - van den Berg, Marten A1 - Weiss, Stefan A1 - Prins, Bram P A1 - van Setten, Jessica A1 - Haessler, Jeffrey A1 - Lyytikäinen, Leo-Pekka A1 - Li, Man A1 - Alonso, Alvaro A1 - Soliman, Elsayed Z A1 - Bis, Joshua C A1 - Austin, Tom A1 - Chen, Yii-Der Ida A1 - Psaty, Bruce M A1 - Harrris, Tamara B A1 - Launer, Lenore J A1 - Padmanabhan, Sandosh A1 - Dominiczak, Anna A1 - Huang, Paul L A1 - Xie, Zhijun A1 - Ellinor, Patrick T A1 - Kors, Jan A A1 - Campbell, Archie A1 - Murray, Alison D A1 - Nelson, Christopher P A1 - Tobin, Martin D A1 - Bork-Jensen, Jette A1 - Hansen, Torben A1 - Pedersen, Oluf A1 - Linneberg, Allan A1 - Sinner, Moritz F A1 - Peters, Annette A1 - Waldenberger, Melanie A1 - Meitinger, Thomas A1 - Perz, Siegfried A1 - Kolcic, Ivana A1 - Rudan, Igor A1 - de Boer, Rudolf A A1 - van der Meer, Peter A1 - Lin, Henry J A1 - Taylor, Kent D A1 - de Mutsert, Renée A1 - Trompet, Stella A1 - Jukema, J Wouter A1 - Maan, Arie C A1 - Stricker, Bruno H C A1 - Rivadeneira, Fernando A1 - Uitterlinden, Andre A1 - Völker, Uwe A1 - Homuth, Georg A1 - Völzke, Henry A1 - Felix, Stephan B A1 - Mangino, Massimo A1 - Spector, Timothy D A1 - Bots, Michiel L A1 - Perez, Marco A1 - Raitakari, Olli T A1 - Kähönen, Mika A1 - Mononen, Nina A1 - Gudnason, Vilmundur A1 - Munroe, Patricia B A1 - Lubitz, Steven A A1 - van Duijn, Cornelia M A1 - Newton-Cheh, Christopher H A1 - Hayward, Caroline A1 - Rosand, Jonathan A1 - Samani, Nilesh J A1 - Kanters, Jørgen K A1 - Wilson, James G A1 - Kääb, Stefan A1 - Polasek, Ozren A1 - van der Harst, Pim A1 - Heckbert, Susan R A1 - Rotter, Jerome I A1 - Mook-Kanamori, Dennis O A1 - Eijgelsheim, Mark A1 - Dörr, Marcus A1 - Jamshidi, Yalda A1 - Asselbergs, Folkert W A1 - Kooperberg, Charles A1 - Lehtimäki, Terho A1 - Arking, Dan E A1 - Sotoodehnia, Nona AB -

BACKGROUND: QT interval, measured through a standard ECG, captures the time it takes for the cardiac ventricles to depolarize and repolarize. JT interval is the component of the QT interval that reflects ventricular repolarization alone. Prolonged QT interval has been linked to higher risk of sudden cardiac arrest.

METHODS AND RESULTS: We performed an ExomeChip-wide analysis for both QT and JT intervals, including 209 449 variants, both common and rare, in 17 341 genes from the Illumina Infinium HumanExome BeadChip. We identified 10 loci that modulate QT and JT interval duration that have not been previously reported in the literature using single-variant statistical models in a meta-analysis of 95 626 individuals from 23 cohorts (comprised 83 884 European ancestry individuals, 9610 blacks, 1382 Hispanics, and 750 Asians). This brings the total number of ventricular repolarization associated loci to 45. In addition, our approach of using coding variants has highlighted the role of 17 specific genes for involvement in ventricular repolarization, 7 of which are in novel loci.

CONCLUSIONS: Our analyses show a role for myocyte internal structure and interconnections in modulating QT interval duration, adding to previous known roles of potassium, sodium, and calcium ion regulation, as well as autonomic control. We anticipate that these discoveries will open new paths to the goal of making novel remedies for the prevention of lethal ventricular arrhythmias and sudden cardiac arrest.

VL - 11 IS - 1 ER - TY - JOUR T1 - Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. JF - Nat Genet Y1 - 2018 A1 - Evangelou, Evangelos A1 - Warren, Helen R A1 - Mosen-Ansorena, David A1 - Mifsud, Borbala A1 - Pazoki, Raha A1 - Gao, He A1 - Ntritsos, Georgios A1 - Dimou, Niki A1 - Cabrera, Claudia P A1 - Karaman, Ibrahim A1 - Ng, Fu Liang A1 - Evangelou, Marina A1 - Witkowska, Katarzyna A1 - Tzanis, Evan A1 - Hellwege, Jacklyn N A1 - Giri, Ayush A1 - Velez Edwards, Digna R A1 - Sun, Yan V A1 - Cho, Kelly A1 - Gaziano, J Michael A1 - Wilson, Peter W F A1 - Tsao, Philip S A1 - Kovesdy, Csaba P A1 - Esko, Tõnu A1 - Mägi, Reedik A1 - Milani, Lili A1 - Almgren, Peter A1 - Boutin, Thibaud A1 - Debette, Stephanie A1 - Ding, Jun A1 - Giulianini, Franco A1 - Holliday, Elizabeth G A1 - Jackson, Anne U A1 - Li-Gao, Ruifang A1 - Lin, Wei-Yu A1 - Luan, Jian'an A1 - Mangino, Massimo A1 - Oldmeadow, Christopher A1 - Prins, Bram Peter A1 - Qian, Yong A1 - Sargurupremraj, Muralidharan A1 - Shah, Nabi A1 - Surendran, Praveen A1 - Thériault, Sébastien A1 - Verweij, Niek A1 - Willems, Sara M A1 - Zhao, Jing-Hua A1 - Amouyel, Philippe A1 - Connell, John A1 - de Mutsert, Renée A1 - Doney, Alex S F A1 - Farrall, Martin A1 - Menni, Cristina A1 - Morris, Andrew D A1 - Noordam, Raymond A1 - Paré, Guillaume A1 - Poulter, Neil R A1 - Shields, Denis C A1 - Stanton, Alice A1 - Thom, Simon A1 - Abecasis, Goncalo A1 - Amin, Najaf A1 - Arking, Dan E A1 - Ayers, Kristin L A1 - Barbieri, Caterina M A1 - Batini, Chiara A1 - Bis, Joshua C A1 - Blake, Tineka A1 - Bochud, Murielle A1 - Boehnke, Michael A1 - Boerwinkle, Eric A1 - Boomsma, Dorret I A1 - Bottinger, Erwin P A1 - Braund, Peter S A1 - Brumat, Marco A1 - Campbell, Archie A1 - Campbell, Harry A1 - Chakravarti, Aravinda A1 - Chambers, John C A1 - Chauhan, Ganesh A1 - Ciullo, Marina A1 - Cocca, Massimiliano A1 - Collins, Francis A1 - Cordell, Heather J A1 - Davies, Gail A1 - Borst, Martin H de A1 - Geus, Eco J de A1 - Deary, Ian J A1 - Deelen, Joris A1 - del Greco M, Fabiola A1 - Demirkale, Cumhur Yusuf A1 - Dörr, Marcus A1 - Ehret, Georg B A1 - Elosua, Roberto A1 - Enroth, Stefan A1 - Erzurumluoglu, A Mesut A1 - Ferreira, Teresa A1 - Frånberg, Mattias A1 - Franco, Oscar H A1 - Gandin, Ilaria A1 - Gasparini, Paolo A1 - Giedraitis, Vilmantas A1 - Gieger, Christian A1 - Girotto, Giorgia A1 - Goel, Anuj A1 - Gow, Alan J A1 - Gudnason, Vilmundur A1 - Guo, Xiuqing A1 - Gyllensten, Ulf A1 - Hamsten, Anders A1 - Harris, Tamara B A1 - Harris, Sarah E A1 - Hartman, Catharina A A1 - Havulinna, Aki S A1 - Hicks, Andrew A A1 - Hofer, Edith A1 - Hofman, Albert A1 - Hottenga, Jouke-Jan A1 - Huffman, Jennifer E A1 - Hwang, Shih-Jen A1 - Ingelsson, Erik A1 - James, Alan A1 - Jansen, Rick A1 - Jarvelin, Marjo-Riitta A1 - Joehanes, Roby A1 - Johansson, Asa A1 - Johnson, Andrew D A1 - Joshi, Peter K A1 - Jousilahti, Pekka A1 - Jukema, J Wouter A1 - Jula, Antti A1 - Kähönen, Mika A1 - Kathiresan, Sekar A1 - Keavney, Bernard D A1 - Khaw, Kay-Tee A1 - Knekt, Paul A1 - Knight, Joanne A1 - Kolcic, Ivana A1 - Kooner, Jaspal S A1 - Koskinen, Seppo A1 - Kristiansson, Kati A1 - Kutalik, Zoltán A1 - Laan, Maris A1 - Larson, Marty A1 - Launer, Lenore J A1 - Lehne, Benjamin A1 - Lehtimäki, Terho A1 - Liewald, David C M A1 - Lin, Li A1 - Lind, Lars A1 - Lindgren, Cecilia M A1 - Liu, Yongmei A1 - Loos, Ruth J F A1 - Lopez, Lorna M A1 - Lu, Yingchang A1 - Lyytikäinen, Leo-Pekka A1 - Mahajan, Anubha A1 - Mamasoula, Chrysovalanto A1 - Marrugat, Jaume A1 - Marten, Jonathan A1 - Milaneschi, Yuri A1 - Morgan, Anna A1 - Morris, Andrew P A1 - Morrison, Alanna C A1 - Munson, Peter J A1 - Nalls, Mike A A1 - Nandakumar, Priyanka A1 - Nelson, Christopher P A1 - Niiranen, Teemu A1 - Nolte, Ilja M A1 - Nutile, Teresa A1 - Oldehinkel, Albertine J A1 - Oostra, Ben A A1 - O'Reilly, Paul F A1 - Org, Elin A1 - Padmanabhan, Sandosh A1 - Palmas, Walter A1 - Palotie, Aarno A1 - Pattie, Alison A1 - Penninx, Brenda W J H A1 - Perola, Markus A1 - Peters, Annette A1 - Polasek, Ozren A1 - Pramstaller, Peter P A1 - Nguyen, Quang Tri A1 - Raitakari, Olli T A1 - Ren, Meixia A1 - Rettig, Rainer A1 - Rice, Kenneth A1 - Ridker, Paul M A1 - Ried, Janina S A1 - Riese, Harriëtte A1 - Ripatti, Samuli A1 - Robino, Antonietta A1 - Rose, Lynda M A1 - Rotter, Jerome I A1 - Rudan, Igor A1 - Ruggiero, Daniela A1 - Saba, Yasaman A1 - Sala, Cinzia F A1 - Salomaa, Veikko A1 - Samani, Nilesh J A1 - Sarin, Antti-Pekka A1 - Schmidt, Reinhold A1 - Schmidt, Helena A1 - Shrine, Nick A1 - Siscovick, David A1 - Smith, Albert V A1 - Snieder, Harold A1 - Sõber, Siim A1 - Sorice, Rossella A1 - Starr, John M A1 - Stott, David J A1 - Strachan, David P A1 - Strawbridge, Rona J A1 - Sundström, Johan A1 - Swertz, Morris A A1 - Taylor, Kent D A1 - Teumer, Alexander A1 - Tobin, Martin D A1 - Tomaszewski, Maciej A1 - Toniolo, Daniela A1 - Traglia, Michela A1 - Trompet, Stella A1 - Tuomilehto, Jaakko A1 - Tzourio, Christophe A1 - Uitterlinden, André G A1 - Vaez, Ahmad A1 - van der Most, Peter J A1 - van Duijn, Cornelia M A1 - Vergnaud, Anne-Claire A1 - Verwoert, Germaine C A1 - Vitart, Veronique A1 - Völker, Uwe A1 - Vollenweider, Peter A1 - Vuckovic, Dragana A1 - Watkins, Hugh A1 - Wild, Sarah H A1 - Willemsen, Gonneke A1 - Wilson, James F A1 - Wright, Alan F A1 - Yao, Jie A1 - Zemunik, Tatijana A1 - Zhang, Weihua A1 - Attia, John R A1 - Butterworth, Adam S A1 - Chasman, Daniel I A1 - Conen, David A1 - Cucca, Francesco A1 - Danesh, John A1 - Hayward, Caroline A1 - Howson, Joanna M M A1 - Laakso, Markku A1 - Lakatta, Edward G A1 - Langenberg, Claudia A1 - Melander, Olle A1 - Mook-Kanamori, Dennis O A1 - Palmer, Colin N A A1 - Risch, Lorenz A1 - Scott, Robert A A1 - Scott, Rodney J A1 - Sever, Peter A1 - Spector, Tim D A1 - van der Harst, Pim A1 - Wareham, Nicholas J A1 - Zeggini, Eleftheria A1 - Levy, Daniel A1 - Munroe, Patricia B A1 - Newton-Cheh, Christopher A1 - Brown, Morris J A1 - Metspalu, Andres A1 - Hung, Adriana M A1 - O'Donnell, Christopher J A1 - Edwards, Todd L A1 - Psaty, Bruce M A1 - Tzoulaki, Ioanna A1 - Barnes, Michael R A1 - Wain, Louise V A1 - Elliott, Paul A1 - Caulfield, Mark J AB -

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

VL - 50 IS - 10 ER - TY - JOUR T1 - Genome-wide association study and meta-analysis identify loci associated with ventricular and supraventricular ectopy. JF - Sci Rep Y1 - 2018 A1 - Napier, Melanie D A1 - Franceschini, Nora A1 - Gondalia, Rahul A1 - Stewart, James D A1 - Méndez-Giráldez, Rául A1 - Sitlani, Colleen M A1 - Seyerle, Amanda A A1 - Highland, Heather M A1 - Li, Yun A1 - Wilhelmsen, Kirk C A1 - Yan, Song A1 - Duan, Qing A1 - Roach, Jeffrey A1 - Yao, Jie A1 - Guo, Xiuqing A1 - Taylor, Kent D A1 - Heckbert, Susan R A1 - Rotter, Jerome I A1 - North, Kari E A1 - Reiner, Alexander P A1 - Zhang, Zhu-Ming A1 - Tinker, Lesley F A1 - Liao, Duanping A1 - Laurie, Cathy C A1 - Gogarten, Stephanie M A1 - Lin, Henry J A1 - Brody, Jennifer A A1 - Bartz, Traci M A1 - Psaty, Bruce M A1 - Sotoodehnia, Nona A1 - Soliman, Elsayed Z A1 - Avery, Christy L A1 - Whitsel, Eric A AB -

The genetic basis of supraventricular and ventricular ectopy (SVE, VE) remains largely uncharacterized, despite established genetic mechanisms of arrhythmogenesis. To identify novel genetic variants associated with SVE/VE in ancestrally diverse human populations, we conducted a genome-wide association study of electrocardiographically identified SVE and VE in five cohorts including approximately 43,000 participants of African, European and Hispanic/Latino ancestry. In thirteen ancestry-stratified subgroups, we tested multivariable-adjusted associations of SVE and VE with single nucleotide polymorphism (SNP) dosage. We combined subgroup-specific association estimates in inverse variance-weighted, fixed-effects and Bayesian meta-analyses. We also combined fixed-effects meta-analytic t-test statistics for SVE and VE in multi-trait SNP association analyses. No loci reached genome-wide significance in trans-ethnic meta-analyses. However, we found genome-wide significant SNPs intronic to an apoptosis-enhancing gene previously associated with QRS interval duration (FAF1; lead SNP rs7545860; effect allele frequency = 0.02; P = 2.0 × 10) in multi-trait analysis among European ancestry participants and near a locus encoding calcium-dependent glycoproteins (DSC3; lead SNP rs8086068; effect allele frequency = 0.17) in meta-analysis of SVE (P = 4.0 × 10) and multi-trait analysis (P = 2.9 × 10) among African ancestry participants. The novel findings suggest several mechanisms by which genetic variation may predispose to ectopy in humans and highlight the potential value of leveraging pleiotropy in future studies of ectopy-related phenotypes.

VL - 8 IS - 1 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 - GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes. JF - Nat Commun Y1 - 2018 A1 - Franceschini, Nora A1 - Giambartolomei, Claudia A1 - de Vries, Paul S A1 - Finan, Chris A1 - Bis, Joshua C A1 - Huntley, Rachael P A1 - Lovering, Ruth C A1 - Tajuddin, Salman M A1 - Winkler, Thomas W A1 - Graff, Misa A1 - Kavousi, Maryam A1 - Dale, Caroline A1 - Smith, Albert V A1 - Hofer, Edith A1 - van Leeuwen, Elisabeth M A1 - Nolte, Ilja M A1 - Lu, Lingyi A1 - Scholz, Markus A1 - Sargurupremraj, Muralidharan A1 - Pitkänen, Niina A1 - Franzén, Oscar A1 - Joshi, Peter K A1 - Noordam, Raymond A1 - Marioni, Riccardo E A1 - Hwang, Shih-Jen A1 - Musani, Solomon K A1 - Schminke, Ulf A1 - Palmas, Walter A1 - Isaacs, Aaron A1 - Correa, Adolfo A1 - Zonderman, Alan B A1 - Hofman, Albert A1 - Teumer, Alexander A1 - Cox, Amanda J A1 - Uitterlinden, André G A1 - Wong, Andrew A1 - Smit, Andries J A1 - Newman, Anne B A1 - Britton, Annie A1 - Ruusalepp, Arno A1 - Sennblad, Bengt A1 - Hedblad, Bo A1 - Pasaniuc, Bogdan A1 - Penninx, Brenda W A1 - Langefeld, Carl D A1 - Wassel, Christina L A1 - Tzourio, Christophe A1 - Fava, Cristiano A1 - Baldassarre, Damiano A1 - O'Leary, Daniel H A1 - Teupser, Daniel A1 - Kuh, Diana A1 - Tremoli, Elena A1 - Mannarino, Elmo A1 - Grossi, Enzo A1 - Boerwinkle, Eric A1 - Schadt, Eric E A1 - Ingelsson, Erik A1 - Veglia, Fabrizio A1 - Rivadeneira, Fernando A1 - Beutner, Frank A1 - Chauhan, Ganesh A1 - Heiss, Gerardo A1 - Snieder, Harold A1 - Campbell, Harry A1 - Völzke, Henry A1 - Markus, Hugh S A1 - Deary, Ian J A1 - Jukema, J Wouter A1 - de Graaf, Jacqueline A1 - Price, Jacqueline A1 - Pott, Janne A1 - Hopewell, Jemma C A1 - Liang, Jingjing A1 - Thiery, Joachim A1 - Engmann, Jorgen A1 - Gertow, Karl A1 - Rice, Kenneth A1 - Taylor, Kent D A1 - Dhana, Klodian A1 - Kiemeney, Lambertus A L M A1 - Lind, Lars A1 - Raffield, Laura M A1 - Launer, Lenore J A1 - Holdt, Lesca M A1 - Dörr, Marcus A1 - Dichgans, Martin A1 - Traylor, Matthew A1 - Sitzer, Matthias A1 - Kumari, Meena A1 - Kivimaki, Mika A1 - Nalls, Mike A A1 - Melander, Olle A1 - Raitakari, Olli A1 - Franco, Oscar H A1 - Rueda-Ochoa, Oscar L A1 - Roussos, Panos A1 - Whincup, Peter H A1 - Amouyel, Philippe A1 - Giral, Philippe A1 - Anugu, Pramod A1 - Wong, Quenna A1 - Malik, Rainer A1 - Rauramaa, Rainer A1 - Burkhardt, Ralph A1 - Hardy, Rebecca A1 - Schmidt, Reinhold A1 - de Mutsert, Renée A1 - Morris, Richard W A1 - Strawbridge, Rona J A1 - Wannamethee, S Goya A1 - Hägg, Sara A1 - Shah, Sonia A1 - McLachlan, Stela A1 - Trompet, Stella A1 - Seshadri, Sudha A1 - Kurl, Sudhir A1 - Heckbert, Susan R A1 - Ring, Susan A1 - Harris, Tamara B A1 - Lehtimäki, Terho A1 - Galesloot, Tessel E A1 - Shah, Tina A1 - de Faire, Ulf A1 - Plagnol, Vincent A1 - Rosamond, Wayne D A1 - Post, Wendy A1 - Zhu, Xiaofeng A1 - Zhang, Xiaoling A1 - Guo, Xiuqing A1 - Saba, Yasaman A1 - Dehghan, Abbas A1 - Seldenrijk, Adrie A1 - Morrison, Alanna C A1 - Hamsten, Anders A1 - Psaty, Bruce M A1 - van Duijn, Cornelia M A1 - Lawlor, Deborah A A1 - Mook-Kanamori, Dennis O A1 - Bowden, Donald W A1 - Schmidt, Helena A1 - Wilson, James F A1 - Wilson, James G A1 - Rotter, Jerome I A1 - Wardlaw, Joanna M A1 - Deanfield, John A1 - Halcox, Julian A1 - Lyytikäinen, Leo-Pekka A1 - Loeffler, Markus A1 - Evans, Michele K A1 - Debette, Stephanie A1 - Humphries, Steve E A1 - Völker, Uwe A1 - Gudnason, Vilmundur A1 - Hingorani, Aroon D A1 - Björkegren, Johan L M A1 - Casas, Juan P A1 - O'Donnell, Christopher J KW - ADAMTS9 Protein KW - Amino Acid Oxidoreductases KW - Carotid Intima-Media Thickness KW - Coronary Disease KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Lod Score KW - Plaque, Atherosclerotic KW - Polymorphism, Single Nucleotide KW - Quantitative Trait Loci KW - Risk Factors AB -

Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.

VL - 9 IS - 1 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 - Multi-ethnic genome-wide association study for atrial fibrillation. JF - Nat Genet Y1 - 2018 A1 - Roselli, Carolina A1 - Chaffin, Mark D A1 - Weng, Lu-Chen A1 - Aeschbacher, Stefanie A1 - Ahlberg, Gustav A1 - Albert, Christine M A1 - Almgren, Peter A1 - Alonso, Alvaro A1 - Anderson, Christopher D A1 - Aragam, Krishna G A1 - Arking, Dan E A1 - Barnard, John A1 - Bartz, Traci M A1 - Benjamin, Emelia J A1 - Bihlmeyer, Nathan A A1 - Bis, Joshua C A1 - Bloom, Heather L A1 - Boerwinkle, Eric A1 - Bottinger, Erwin B A1 - Brody, Jennifer A A1 - Calkins, Hugh A1 - Campbell, Archie A1 - Cappola, Thomas P A1 - Carlquist, John A1 - Chasman, Daniel I A1 - Chen, Lin Y A1 - Chen, Yii-Der Ida A1 - Choi, Eue-Keun A1 - Choi, Seung Hoan A1 - Christophersen, Ingrid E A1 - Chung, Mina K A1 - Cole, John W A1 - Conen, David A1 - Cook, James A1 - Crijns, Harry J A1 - Cutler, Michael J A1 - Damrauer, Scott M A1 - Daniels, Brian R A1 - Darbar, Dawood A1 - Delgado, Graciela A1 - Denny, Joshua C A1 - Dichgans, Martin A1 - Dörr, Marcus A1 - Dudink, Elton A A1 - Dudley, Samuel C A1 - Esa, Nada A1 - Esko, Tõnu A1 - Eskola, Markku A1 - Fatkin, Diane A1 - Felix, Stephan B A1 - Ford, Ian A1 - Franco, Oscar H A1 - Geelhoed, Bastiaan A1 - Grewal, Raji P A1 - Gudnason, Vilmundur A1 - Guo, Xiuqing A1 - Gupta, Namrata A1 - Gustafsson, Stefan A1 - Gutmann, Rebecca A1 - Hamsten, Anders A1 - Harris, Tamara B A1 - Hayward, Caroline A1 - Heckbert, Susan R A1 - Hernesniemi, Jussi A1 - Hocking, Lynne J A1 - Hofman, Albert A1 - Horimoto, Andrea R V R A1 - Huang, Jie A1 - Huang, Paul L A1 - Huffman, Jennifer A1 - Ingelsson, Erik A1 - Ipek, Esra Gucuk A1 - Ito, Kaoru A1 - Jimenez-Conde, Jordi A1 - Johnson, Renee A1 - Jukema, J Wouter A1 - Kääb, Stefan A1 - Kähönen, Mika A1 - Kamatani, Yoichiro A1 - Kane, John P A1 - Kastrati, Adnan A1 - Kathiresan, Sekar A1 - Katschnig-Winter, Petra A1 - Kavousi, Maryam A1 - Kessler, Thorsten A1 - Kietselaer, Bas L A1 - Kirchhof, Paulus A1 - Kleber, Marcus E A1 - Knight, Stacey A1 - Krieger, Jose E A1 - Kubo, Michiaki A1 - Launer, Lenore J A1 - Laurikka, Jari A1 - Lehtimäki, Terho A1 - Leineweber, Kirsten A1 - Lemaitre, Rozenn N A1 - Li, Man A1 - Lim, Hong Euy A1 - Lin, Henry J A1 - Lin, Honghuang A1 - Lind, Lars A1 - Lindgren, Cecilia M A1 - Lokki, Marja-Liisa A1 - London, Barry A1 - Loos, Ruth J F A1 - Low, Siew-Kee A1 - Lu, Yingchang A1 - Lyytikäinen, Leo-Pekka A1 - Macfarlane, Peter W A1 - Magnusson, Patrik K A1 - Mahajan, Anubha A1 - Malik, Rainer A1 - Mansur, Alfredo J A1 - Marcus, Gregory M A1 - Margolin, Lauren A1 - Margulies, Kenneth B A1 - März, Winfried A1 - McManus, David D A1 - Melander, Olle A1 - Mohanty, Sanghamitra A1 - Montgomery, Jay A A1 - Morley, Michael P A1 - Morris, Andrew P A1 - Müller-Nurasyid, Martina A1 - Natale, Andrea A1 - Nazarian, Saman A1 - Neumann, Benjamin A1 - Newton-Cheh, Christopher A1 - Niemeijer, Maartje N A1 - Nikus, Kjell A1 - Nilsson, Peter A1 - Noordam, Raymond A1 - Oellers, Heidi A1 - Olesen, Morten S A1 - Orho-Melander, Marju A1 - Padmanabhan, Sandosh A1 - Pak, Hui-Nam A1 - Paré, Guillaume A1 - Pedersen, Nancy L A1 - Pera, Joanna A1 - Pereira, Alexandre A1 - Porteous, David A1 - Psaty, Bruce M A1 - Pulit, Sara L A1 - Pullinger, Clive R A1 - Rader, Daniel J A1 - Refsgaard, Lena A1 - Ribasés, Marta A1 - Ridker, Paul M A1 - Rienstra, Michiel A1 - Risch, Lorenz A1 - Roden, Dan M A1 - Rosand, Jonathan A1 - Rosenberg, Michael A A1 - Rost, Natalia A1 - Rotter, Jerome I A1 - Saba, Samir A1 - Sandhu, Roopinder K A1 - Schnabel, Renate B A1 - Schramm, Katharina A1 - Schunkert, Heribert A1 - Schurman, Claudia A1 - Scott, Stuart A A1 - Seppälä, Ilkka A1 - Shaffer, Christian A1 - Shah, Svati A1 - Shalaby, Alaa A A1 - Shim, Jaemin A1 - Shoemaker, M Benjamin A1 - Siland, Joylene E A1 - Sinisalo, Juha A1 - Sinner, Moritz F A1 - Slowik, Agnieszka A1 - Smith, Albert V A1 - Smith, Blair H A1 - Smith, J Gustav A1 - Smith, Jonathan D A1 - Smith, Nicholas L A1 - Soliman, Elsayed Z A1 - Sotoodehnia, Nona A1 - Stricker, Bruno H A1 - Sun, Albert A1 - Sun, Han A1 - Svendsen, Jesper H A1 - Tanaka, Toshihiro A1 - Tanriverdi, Kahraman A1 - Taylor, Kent D A1 - Teder-Laving, Maris A1 - Teumer, Alexander A1 - Thériault, Sébastien A1 - Trompet, Stella A1 - Tucker, Nathan R A1 - Tveit, Arnljot A1 - Uitterlinden, André G A1 - van der Harst, Pim A1 - Van Gelder, Isabelle C A1 - Van Wagoner, David R A1 - Verweij, Niek A1 - Vlachopoulou, Efthymia A1 - Völker, Uwe A1 - Wang, Biqi A1 - Weeke, Peter E A1 - Weijs, Bob A1 - Weiss, Raul A1 - Weiss, Stefan A1 - Wells, Quinn S A1 - Wiggins, Kerri L A1 - Wong, Jorge A A1 - Woo, Daniel A1 - Worrall, Bradford B A1 - Yang, Pil-Sung A1 - Yao, Jie A1 - Yoneda, Zachary T A1 - Zeller, Tanja A1 - Zeng, Lingyao A1 - Lubitz, Steven A A1 - Lunetta, Kathryn L A1 - Ellinor, Patrick T AB -

Atrial fibrillation (AF) affects more than 33 million individuals worldwide and has a complex heritability. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF.

VL - 50 IS - 9 ER - TY - JOUR T1 - Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries. JF - PLoS One Y1 - 2018 A1 - Feitosa, Mary F A1 - Kraja, Aldi T A1 - Chasman, Daniel I A1 - Sung, Yun J A1 - Winkler, Thomas W A1 - Ntalla, Ioanna A1 - Guo, Xiuqing A1 - Franceschini, Nora A1 - Cheng, Ching-Yu A1 - Sim, Xueling A1 - Vojinovic, Dina A1 - Marten, Jonathan A1 - Musani, Solomon K A1 - Li, Changwei A1 - Bentley, Amy R A1 - Brown, Michael R A1 - Schwander, Karen A1 - Richard, Melissa A A1 - Noordam, Raymond A1 - Aschard, Hugues A1 - Bartz, Traci M A1 - Bielak, Lawrence F A1 - Dorajoo, Rajkumar A1 - Fisher, Virginia A1 - Hartwig, Fernando P A1 - Horimoto, Andrea R V R A1 - Lohman, Kurt K A1 - Manning, Alisa K A1 - Rankinen, Tuomo A1 - Smith, Albert V A1 - Tajuddin, Salman M A1 - Wojczynski, Mary K A1 - Alver, Maris A1 - Boissel, Mathilde A1 - Cai, Qiuyin A1 - Campbell, Archie A1 - Chai, Jin Fang A1 - Chen, Xu A1 - Divers, Jasmin A1 - Gao, Chuan A1 - Goel, Anuj A1 - Hagemeijer, Yanick A1 - Harris, Sarah E A1 - He, Meian A1 - Hsu, Fang-Chi A1 - Jackson, Anne U A1 - Kähönen, Mika A1 - Kasturiratne, Anuradhani A1 - Komulainen, Pirjo A1 - Kuhnel, Brigitte A1 - Laguzzi, Federica A1 - Luan, Jian'an A1 - Matoba, Nana A1 - Nolte, Ilja M A1 - Padmanabhan, Sandosh A1 - Riaz, Muhammad A1 - Rueedi, Rico A1 - Robino, Antonietta 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 - Vitart, Veronique A1 - Wang, Yajuan A1 - Ware, Erin B A1 - Warren, Helen R A1 - Weiss, Stefan 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 - Boerwinkle, Eric A1 - Borecki, Ingrid A1 - Broeckel, Ulrich A1 - Brown, Morris A1 - Brumat, Marco A1 - Burke, Gregory L A1 - Canouil, Mickaël A1 - Chakravarti, Aravinda A1 - Charumathi, Sabanayagam A1 - Ida Chen, Yii-Der A1 - Connell, John M A1 - Correa, Adolfo A1 - de Las Fuentes, Lisa A1 - de Mutsert, Renée A1 - de Silva, H Janaka A1 - Deng, Xuan A1 - Ding, Jingzhong A1 - Duan, Qing A1 - Eaton, Charles B A1 - Ehret, Georg A1 - Eppinga, Ruben N A1 - Evangelou, Evangelos A1 - Faul, Jessica D A1 - Felix, Stephan B A1 - Forouhi, Nita G A1 - Forrester, Terrence A1 - Franco, Oscar H A1 - Friedlander, Yechiel A1 - Gandin, Ilaria A1 - Gao, He A1 - Ghanbari, Mohsen A1 - Gigante, Bruna A1 - Gu, C Charles A1 - Gu, Dongfeng A1 - Hagenaars, Saskia P A1 - Hallmans, Göran A1 - Harris, Tamara B A1 - He, Jiang A1 - Heikkinen, Sami A1 - Heng, Chew-Kiat A1 - Hirata, Makoto A1 - Howard, Barbara V A1 - Ikram, M Arfan A1 - John, Ulrich A1 - Katsuya, Tomohiro A1 - Khor, Chiea Chuen A1 - Kilpeläinen, Tuomas O A1 - Koh, Woon-Puay 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 - Lin, Shiow A1 - Liu, Jianjun A1 - Liu, Jingmin A1 - Loh, Marie A1 - Louie, Tin A1 - Mägi, Reedik A1 - McKenzie, Colin A A1 - Meitinger, Thomas A1 - Metspalu, Andres A1 - Milaneschi, Yuri A1 - Milani, Lili A1 - Mohlke, Karen L A1 - Momozawa, Yukihide A1 - Nalls, Mike A A1 - Nelson, Christopher P A1 - Sotoodehnia, Nona A1 - Norris, Jill M A1 - O'Connell, Jeff R A1 - Palmer, Nicholette D A1 - Perls, Thomas A1 - Pedersen, Nancy L A1 - Peters, Annette A1 - Peyser, Patricia A A1 - Poulter, Neil A1 - Raffel, Leslie J A1 - Raitakari, Olli T A1 - Roll, Kathryn A1 - Rose, Lynda M A1 - Rosendaal, Frits R A1 - Rotter, Jerome I A1 - Schmidt, Carsten O A1 - Schreiner, Pamela J A1 - Schupf, Nicole A1 - Scott, William R A1 - Sever, Peter S A1 - Shi, Yuan A1 - Sidney, Stephen A1 - Sims, Mario A1 - Sitlani, Colleen M 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 - Turner, Stephen T A1 - Uitterlinden, André G A1 - Vollenweider, Peter A1 - Waldenberger, Melanie A1 - Wang, Lihua A1 - Wang, Ya Xing A1 - Wei, Wen Bin A1 - Williams, Christine A1 - Yao, Jie A1 - Yu, Caizheng A1 - Yuan, Jian-Min A1 - Zhao, Wei A1 - Zonderman, Alan B A1 - Becker, Diane M A1 - Boehnke, Michael A1 - Bowden, Donald W A1 - 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 - Jonas, Jost Bruno A1 - Kamatani, Yoichiro A1 - Kato, Norihiro A1 - Kooner, Jaspal S A1 - Kutalik, Zoltán A1 - Laakso, Markku A1 - Laurie, Cathy C A1 - Leander, Karin A1 - Lehtimäki, Terho A1 - Study, Lifelines Cohort A1 - Magnusson, Patrik K E A1 - Oldehinkel, Albertine J A1 - Penninx, Brenda W J H A1 - Polasek, Ozren A1 - Porteous, David J A1 - Rauramaa, 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 - Bouchard, Claude A1 - Christensen, Kaare A1 - Evans, Michele K A1 - Gudnason, Vilmundur A1 - Horta, Bernardo L A1 - Kardia, Sharon L R A1 - Liu, Yongmei A1 - Pereira, Alexandre C A1 - Psaty, Bruce M A1 - Ridker, Paul M A1 - van Dam, Rob M A1 - Gauderman, W James A1 - Zhu, Xiaofeng A1 - Mook-Kanamori, Dennis O A1 - Fornage, Myriam A1 - Rotimi, Charles N A1 - Cupples, L Adrienne 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 - Kooperberg, Charles A1 - Palmas, Walter A1 - Rice, Kenneth A1 - Morrison, Alanna C A1 - Elliott, Paul A1 - Caulfield, Mark J A1 - Munroe, Patricia B A1 - Rao, Dabeeru C A1 - Province, Michael A A1 - Levy, Daniel AB -

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

VL - 13 IS - 6 ER - TY - JOUR T1 - Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. JF - Nat Genet Y1 - 2018 A1 - Mahajan, Anubha A1 - Wessel, Jennifer A1 - Willems, Sara M A1 - Zhao, Wei A1 - Robertson, Neil R A1 - Chu, Audrey Y A1 - Gan, Wei A1 - Kitajima, Hidetoshi A1 - Taliun, Daniel A1 - Rayner, N William A1 - Guo, Xiuqing A1 - Lu, Yingchang A1 - Li, Man A1 - Jensen, Richard A A1 - Hu, Yao A1 - Huo, Shaofeng A1 - Lohman, Kurt K A1 - Zhang, Weihua A1 - Cook, James P A1 - Prins, Bram Peter A1 - Flannick, Jason A1 - Grarup, Niels A1 - Trubetskoy, Vassily Vladimirovich A1 - Kravic, Jasmina A1 - Kim, Young Jin A1 - Rybin, Denis V A1 - Yaghootkar, Hanieh A1 - Müller-Nurasyid, Martina A1 - Meidtner, Karina A1 - Li-Gao, Ruifang A1 - Varga, Tibor V A1 - Marten, Jonathan A1 - Li, Jin A1 - Smith, Albert Vernon A1 - An, Ping A1 - Ligthart, Symen A1 - Gustafsson, Stefan A1 - Malerba, Giovanni A1 - Demirkan, Ayse A1 - Tajes, Juan Fernandez A1 - Steinthorsdottir, Valgerdur A1 - Wuttke, Matthias A1 - Lecoeur, Cécile A1 - Preuss, Michael A1 - Bielak, Lawrence F A1 - Graff, Marielisa A1 - Highland, Heather M A1 - Justice, Anne E A1 - Liu, Dajiang J A1 - Marouli, Eirini A1 - Peloso, Gina Marie A1 - Warren, Helen R A1 - Afaq, Saima A1 - Afzal, Shoaib A1 - Ahlqvist, Emma A1 - Almgren, Peter A1 - Amin, Najaf A1 - Bang, Lia B A1 - Bertoni, Alain G A1 - Bombieri, Cristina A1 - Bork-Jensen, Jette A1 - Brandslund, Ivan A1 - Brody, Jennifer A A1 - Burtt, Noel P A1 - Canouil, Mickaël A1 - Chen, Yii-Der Ida A1 - Cho, Yoon Shin A1 - Christensen, Cramer A1 - Eastwood, Sophie V A1 - Eckardt, Kai-Uwe A1 - Fischer, Krista A1 - Gambaro, Giovanni A1 - Giedraitis, Vilmantas A1 - Grove, Megan L A1 - de Haan, Hugoline G A1 - Hackinger, Sophie A1 - Hai, Yang A1 - Han, Sohee A1 - Tybjærg-Hansen, Anne A1 - Hivert, Marie-France A1 - Isomaa, Bo A1 - Jäger, Susanne A1 - Jørgensen, Marit E A1 - Jørgensen, Torben A1 - Käräjämäki, AnneMari A1 - Kim, Bong-Jo A1 - Kim, Sung Soo A1 - Koistinen, Heikki A A1 - Kovacs, Peter A1 - Kriebel, Jennifer A1 - Kronenberg, Florian A1 - Läll, Kristi A1 - Lange, Leslie A A1 - Lee, Jung-Jin A1 - Lehne, Benjamin A1 - Li, Huaixing A1 - Lin, Keng-Hung A1 - Linneberg, Allan A1 - Liu, Ching-Ti A1 - Liu, Jun A1 - Loh, Marie A1 - Mägi, Reedik A1 - Mamakou, Vasiliki A1 - McKean-Cowdin, Roberta A1 - Nadkarni, Girish A1 - Neville, Matt A1 - Nielsen, Sune F A1 - Ntalla, Ioanna A1 - Peyser, Patricia A A1 - Rathmann, Wolfgang A1 - Rice, Kenneth A1 - Rich, Stephen S A1 - Rode, Line A1 - Rolandsson, Olov A1 - Schönherr, Sebastian A1 - Selvin, Elizabeth A1 - Small, Kerrin S A1 - Stančáková, Alena A1 - Surendran, Praveen A1 - Taylor, Kent D A1 - Teslovich, Tanya M A1 - Thorand, Barbara A1 - Thorleifsson, Gudmar A1 - Tin, Adrienne A1 - Tönjes, Anke A1 - Varbo, Anette A1 - Witte, Daniel R A1 - Wood, Andrew R A1 - Yajnik, Pranav A1 - Yao, Jie A1 - Yengo, Loic A1 - Young, Robin A1 - Amouyel, Philippe A1 - Boeing, Heiner A1 - Boerwinkle, Eric A1 - Bottinger, Erwin P A1 - Chowdhury, Rajiv A1 - Collins, Francis S A1 - Dedoussis, George A1 - Dehghan, Abbas A1 - Deloukas, Panos A1 - Ferrario, Marco M A1 - Ferrieres, Jean A1 - Florez, Jose C A1 - Frossard, Philippe A1 - Gudnason, Vilmundur A1 - Harris, Tamara B A1 - Heckbert, Susan R A1 - Howson, Joanna M M A1 - Ingelsson, Martin A1 - Kathiresan, Sekar A1 - Kee, Frank A1 - Kuusisto, Johanna A1 - Langenberg, Claudia A1 - Launer, Lenore J A1 - Lindgren, Cecilia M A1 - Männistö, Satu A1 - Meitinger, Thomas A1 - Melander, Olle A1 - Mohlke, Karen L A1 - Moitry, Marie A1 - Morris, Andrew D A1 - Murray, Alison D A1 - de Mutsert, Renée A1 - Orho-Melander, Marju A1 - Owen, Katharine R A1 - Perola, Markus A1 - Peters, Annette A1 - Province, Michael A A1 - Rasheed, Asif A1 - Ridker, Paul M A1 - Rivadineira, Fernando A1 - Rosendaal, Frits R A1 - Rosengren, Anders H A1 - Salomaa, Veikko A1 - Sheu, Wayne H-H A1 - Sladek, Rob A1 - Smith, Blair H A1 - Strauch, Konstantin A1 - Uitterlinden, André G A1 - Varma, Rohit A1 - Willer, Cristen J A1 - Blüher, Matthias A1 - Butterworth, Adam S A1 - Chambers, John Campbell A1 - Chasman, Daniel I A1 - Danesh, John A1 - van Duijn, Cornelia A1 - Dupuis, Josée A1 - Franco, Oscar H A1 - Franks, Paul W A1 - Froguel, Philippe A1 - Grallert, Harald A1 - Groop, Leif A1 - Han, Bok-Ghee A1 - Hansen, Torben A1 - Hattersley, Andrew T A1 - Hayward, Caroline A1 - Ingelsson, Erik A1 - Kardia, Sharon L R A1 - Karpe, Fredrik A1 - Kooner, Jaspal Singh A1 - Köttgen, Anna A1 - Kuulasmaa, Kari A1 - Laakso, Markku A1 - Lin, Xu A1 - Lind, Lars A1 - Liu, Yongmei A1 - Loos, Ruth J F A1 - Marchini, Jonathan A1 - Metspalu, Andres A1 - Mook-Kanamori, Dennis A1 - Nordestgaard, Børge G A1 - Palmer, Colin N A A1 - Pankow, James S A1 - Pedersen, Oluf A1 - Psaty, Bruce M A1 - Rauramaa, Rainer A1 - Sattar, Naveed A1 - Schulze, Matthias B A1 - Soranzo, Nicole A1 - Spector, Timothy D A1 - Stefansson, Kari A1 - Stumvoll, Michael A1 - Thorsteinsdottir, Unnur A1 - Tuomi, Tiinamaija A1 - Tuomilehto, Jaakko A1 - Wareham, Nicholas J A1 - Wilson, James G A1 - Zeggini, Eleftheria A1 - Scott, Robert A A1 - Barroso, Inês A1 - Frayling, Timothy M A1 - Goodarzi, Mark O A1 - Meigs, James B A1 - Boehnke, Michael A1 - Saleheen, Danish A1 - Morris, Andrew P A1 - Rotter, Jerome I A1 - McCarthy, Mark I AB -

We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent 'false leads' with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.

VL - 50 IS - 4 ER - TY - JOUR T1 - Admixture mapping identifies novel loci for obstructive sleep apnea in Hispanic/Latino Americans. JF - Hum Mol Genet Y1 - 2019 A1 - Wang, Heming A1 - Cade, Brian E A1 - Sofer, Tamar A1 - Sands, Scott A A1 - Chen, Han A1 - Browning, Sharon R A1 - Stilp, Adrienne M A1 - Louie, Tin L A1 - Thornton, Timothy A A1 - Johnson, W Craig A1 - Below, Jennifer E A1 - Conomos, Matthew P A1 - Evans, Daniel S A1 - Gharib, Sina A A1 - Guo, Xiuqing A1 - Wood, Alexis C A1 - Mei, Hao A1 - Yaffe, Kristine A1 - Loredo, Jose S A1 - Ramos, Alberto R A1 - Barrett-Connor, Elizabeth A1 - Ancoli-Israel, Sonia A1 - Zee, Phyllis C A1 - Arens, Raanan A1 - Shah, Neomi A A1 - Taylor, Kent D A1 - Tranah, Gregory J A1 - Stone, Katie L A1 - Hanis, Craig L A1 - Wilson, James G A1 - Gottlieb, Daniel J A1 - Patel, Sanjay R A1 - Rice, Ken A1 - Post, Wendy S A1 - Rotter, Jerome I A1 - Sunyaev, Shamil R A1 - Cai, Jianwen A1 - Lin, Xihong A1 - Purcell, Shaun M A1 - Laurie, Cathy C A1 - Saxena, Richa A1 - Redline, Susan A1 - Zhu, Xiaofeng AB -

Obstructive sleep apnea (OSA) is a common disorder associated with increased risk of cardiovascular disease and mortality. Its prevalence and severity vary across ancestral background. Although OSA traits are heritable, few genetic associations have been identified. To identify genetic regions associated with OSA and improve statistical power, we applied admixture mapping on three primary OSA traits [the apnea hypopnea index (AHI), overnight average oxyhemoglobin saturation (SaO2) and percentage time SaO2 < 90%] and a secondary trait (respiratory event duration) in a Hispanic/Latino American population study of 11 575 individuals with significant variation in ancestral background. Linear mixed models were performed using previously inferred African, European and Amerindian local genetic ancestry markers. Global African ancestry was associated with a lower AHI, higher SaO2 and shorter event duration. Admixture mapping analysis of the primary OSA traits identified local African ancestry at the chromosomal region 2q37 as genome-wide significantly associated with AHI (P < 5.7 × 10-5), and European and Amerindian ancestries at 18q21 suggestively associated with both AHI and percentage time SaO2 < 90% (P < 10-3). Follow-up joint ancestry-SNP association analyses identified novel variants in ferrochelatase (FECH), significantly associated with AHI and percentage time SaO2 < 90% after adjusting for multiple tests (P < 8 × 10-6). These signals contributed to the admixture mapping associations and were replicated in independent cohorts. In this first admixture mapping study of OSA, novel associations with variants in the iron/heme metabolism pathway suggest a role for iron in influencing respiratory traits underlying OSA.

VL - 28 IS - 4 ER - TY - JOUR T1 - Assessment of the Relationship Between Genetic Determinants of Thyroid Function and Atrial Fibrillation: A Mendelian Randomization Study. JF - JAMA Cardiol Y1 - 2019 A1 - Ellervik, Christina A1 - Roselli, Carolina A1 - Christophersen, Ingrid E A1 - Alonso, Alvaro A1 - Pietzner, Maik A1 - Sitlani, Collen M A1 - Trompet, Stella A1 - Arking, Dan E A1 - Geelhoed, Bastiaan A1 - Guo, Xiuqing A1 - Kleber, Marcus E A1 - Lin, Henry J A1 - Lin, Honghuang A1 - Macfarlane, Peter A1 - Selvin, Elizabeth A1 - Shaffer, Christian A1 - Smith, Albert V A1 - Verweij, Niek A1 - Weiss, Stefan A1 - Cappola, Anne R A1 - Dörr, Marcus A1 - Gudnason, Vilmundur A1 - Heckbert, Susan A1 - Mooijaart, Simon A1 - März, Winfried A1 - Psaty, Bruce M A1 - Ridker, Paul M A1 - Roden, Dan A1 - Stott, David J A1 - Völzke, Henry A1 - Benjamin, Emelia J A1 - Delgado, Graciela A1 - Ellinor, Patrick A1 - Homuth, Georg A1 - Köttgen, Anna A1 - Jukema, Johan W A1 - Lubitz, Steven A A1 - Mora, Samia A1 - Rienstra, Michiel A1 - Rotter, Jerome I A1 - Shoemaker, M Benjamin A1 - Sotoodehnia, Nona A1 - Taylor, Kent D A1 - van der Harst, Pim A1 - Albert, Christine M A1 - Chasman, Daniel I AB -

Importance: Increased free thyroxine (FT4) and decreased thyrotropin are associated with increased risk of atrial fibrillation (AF) in observational studies, but direct involvement is unclear.

Objective: To evaluate the potential direct involvement of thyroid traits on AF.

Design, Setting, and Participants: Study-level mendelian randomization (MR) included 11 studies, and summary-level MR included 55 114 AF cases and 482 295 referents, all of European ancestry.

Exposures: Genomewide significant variants were used as instruments for standardized FT4 and thyrotropin levels within the reference range, standardized triiodothyronine (FT3):FT4 ratio, hypothyroidism, standardized thyroid peroxidase antibody levels, and hyperthyroidism. Mendelian randomization used genetic risk scores in study-level analysis or individual single-nucleotide polymorphisms in 2-sample MR for the summary-level data.

Main Outcomes and Measures: Prevalent and incident AF.

Results: The study-level analysis included 7679 individuals with AF and 49 233 referents (mean age [standard error], 62 [3] years; 15 859 men [29.7%]). In study-level random-effects meta-analysis, the pooled hazard ratio of FT4 levels (nanograms per deciliter) for incident AF was 1.55 (95% CI, 1.09-2.20; P = .02; I2 = 76%) and the pooled odds ratio (OR) for prevalent AF was 2.80 (95% CI, 1.41-5.54; P = .003; I2 = 64%) in multivariable-adjusted analyses. The FT4 genetic risk score was associated with an increase in FT4 by 0.082 SD (standard error, 0.007; P < .001) but not with incident AF (risk ratio, 0.84; 95% CI, 0.62-1.14; P = .27) or prevalent AF (OR, 1.32; 95% CI, 0.64-2.73; P = .46). Similarly, in summary-level inverse-variance weighted random-effects MR, gene-based FT4 within the reference range was not associated with AF (OR, 1.01; 95% CI, 0.89-1.14; P = .88). However, gene-based increased FT3:FT4 ratio, increased thyrotropin within the reference range, and hypothyroidism were associated with AF with inverse-variance weighted random-effects OR of 1.33 (95% CI, 1.08-1.63; P = .006), 0.88 (95% CI, 0.84-0.92; P < .001), and 0.94 (95% CI, 0.90-0.99; P = .009), respectively, and robust to tests of horizontal pleiotropy. However, the subset of hypothyroidism single-nucleotide polymorphisms involved in autoimmunity and thyroid peroxidase antibodies levels were not associated with AF. Gene-based hyperthyroidism was associated with AF with MR-Egger OR of 1.31 (95% CI, 1.05-1.63; P = .02) with evidence of horizontal pleiotropy (P = .045).

Conclusions and Relevance: Genetically increased FT3:FT4 ratio and hyperthyroidism, but not FT4 within the reference range, were associated with increased AF, and increased thyrotropin within the reference range and hypothyroidism were associated with decreased AF, supporting a pathway involving the pituitary-thyroid-cardiac axis.

ER - TY - JOUR T1 - Associations of autozygosity with a broad range of human phenotypes. JF - Nat Commun Y1 - 2019 A1 - Clark, David W A1 - Okada, Yukinori A1 - Moore, Kristjan H S A1 - Mason, Dan A1 - Pirastu, Nicola A1 - Gandin, Ilaria A1 - Mattsson, Hannele A1 - Barnes, Catriona L K A1 - Lin, Kuang A1 - Zhao, Jing Hua A1 - Deelen, Patrick A1 - Rohde, Rebecca A1 - Schurmann, Claudia A1 - Guo, Xiuqing A1 - Giulianini, Franco A1 - Zhang, Weihua A1 - Medina-Gómez, Carolina A1 - Karlsson, Robert A1 - Bao, Yanchun A1 - Bartz, Traci M A1 - Baumbach, Clemens A1 - Biino, Ginevra A1 - Bixley, Matthew J A1 - Brumat, Marco A1 - Chai, Jin-Fang A1 - Corre, Tanguy A1 - Cousminer, Diana L A1 - Dekker, Annelot M A1 - Eccles, David A A1 - van Eijk, Kristel R A1 - Fuchsberger, Christian A1 - Gao, He A1 - Germain, Marine A1 - Gordon, Scott D A1 - de Haan, Hugoline G A1 - Harris, Sarah E A1 - Hofer, Edith A1 - Huerta-Chagoya, Alicia A1 - Igartua, Catherine A1 - Jansen, Iris E A1 - Jia, Yucheng A1 - Kacprowski, Tim A1 - Karlsson, Torgny A1 - Kleber, Marcus E A1 - Li, Shengchao Alfred A1 - Li-Gao, Ruifang A1 - Mahajan, Anubha A1 - Matsuda, Koichi A1 - Meidtner, Karina A1 - Meng, Weihua A1 - Montasser, May E A1 - van der Most, Peter J A1 - Munz, Matthias A1 - Nutile, Teresa A1 - Palviainen, Teemu A1 - Prasad, Gauri A1 - Prasad, Rashmi B A1 - Priyanka, Tallapragada Divya Sri A1 - Rizzi, Federica A1 - Salvi, Erika A1 - Sapkota, Bishwa R A1 - Shriner, Daniel A1 - Skotte, Line A1 - Smart, Melissa C A1 - Smith, Albert Vernon A1 - van der Spek, Ashley A1 - Spracklen, Cassandra N A1 - Strawbridge, Rona J A1 - Tajuddin, Salman M A1 - Trompet, Stella A1 - Turman, Constance A1 - Verweij, Niek A1 - Viberti, Clara A1 - Wang, Lihua A1 - Warren, Helen R A1 - Wootton, Robyn E A1 - Yanek, Lisa R A1 - Yao, Jie A1 - Yousri, Noha A A1 - Zhao, Wei A1 - Adeyemo, Adebowale A A1 - Afaq, Saima A1 - Aguilar-Salinas, Carlos Alberto A1 - Akiyama, Masato A1 - Albert, Matthew L A1 - Allison, Matthew A A1 - Alver, Maris A1 - Aung, Tin A1 - Azizi, Fereidoun A1 - Bentley, Amy R A1 - Boeing, Heiner A1 - Boerwinkle, Eric A1 - 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Milani, Lili A1 - Millwood, Iona Y A1 - Momozawa, Yukihide A1 - Moore, Amy A1 - Morange, Pierre-Emmanuel A1 - Moreno-Macias, Hortensia A1 - Mori, Trevor A A1 - Morrison, Alanna C A1 - Muka, Taulant A1 - Murakami, Yoshinori A1 - Murray, Alison D A1 - de Mutsert, Renée A1 - Mychaleckyj, Josyf C A1 - Nalls, Mike A A1 - Nauck, Matthias A1 - Neville, Matt J A1 - Nolte, Ilja M A1 - Ong, Ken K A1 - Orozco, Lorena A1 - Padmanabhan, Sandosh A1 - Pálsson, Gunnar A1 - Pankow, James S A1 - Pattaro, Cristian A1 - Pattie, Alison A1 - Polasek, Ozren A1 - Poulter, Neil A1 - Pramstaller, Peter P A1 - Quintana-Murci, Lluis A1 - Räikkönen, Katri A1 - Ralhan, Sarju A1 - Rao, Dabeeru C A1 - van Rheenen, Wouter A1 - Rich, Stephen S A1 - Ridker, Paul M A1 - Rietveld, Cornelius A A1 - Robino, Antonietta A1 - van Rooij, Frank J A A1 - Ruggiero, Daniela A1 - Saba, Yasaman A1 - Sabanayagam, Charumathi A1 - Sabater-Lleal, Maria A1 - Sala, Cinzia Felicita A1 - Salomaa, Veikko A1 - Sandow, Kevin A1 - Schmidt, Helena A1 - 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Yuan, Jian-Min A1 - Zeng, Lingyao A1 - Zhang, Liang A1 - Zhou, Jie A1 - Amin, Najaf A1 - Asselbergs, Folkert W A1 - Bakker, Stephan J L A1 - Becker, Diane M A1 - Lehne, Benjamin A1 - Bennett, David A A1 - van den Berg, Leonard H A1 - Berndt, Sonja I A1 - Bharadwaj, Dwaipayan A1 - Bielak, Lawrence F A1 - Bochud, Murielle A1 - Boehnke, Mike A1 - Bouchard, Claude A1 - Bradfield, Jonathan P A1 - Brody, Jennifer A A1 - Campbell, Archie A1 - Carmi, Shai A1 - Caulfield, Mark J A1 - Cesarini, David A1 - Chambers, John C A1 - Chandak, Giriraj Ratan A1 - Cheng, Ching-Yu A1 - Ciullo, Marina A1 - Cornelis, Marilyn A1 - Cusi, Daniele A1 - Smith, George Davey A1 - Deary, Ian J A1 - Dorajoo, Rajkumar A1 - van Duijn, Cornelia M A1 - Ellinghaus, David A1 - Erdmann, Jeanette A1 - Eriksson, Johan G A1 - Evangelou, Evangelos A1 - Evans, Michele K A1 - Faul, Jessica D A1 - Feenstra, Bjarke A1 - Feitosa, Mary A1 - Foisy, Sylvain A1 - Franke, Andre A1 - Friedlander, Yechiel A1 - Gasparini, Paolo A1 - Gieger, Christian A1 - Gonzalez, Clicerio A1 - Goyette, Philippe A1 - Grant, Struan F A A1 - Griffiths, Lyn R A1 - Groop, Leif A1 - Gudnason, Vilmundur A1 - Gyllensten, Ulf A1 - Hakonarson, Hakon A1 - Hamsten, Anders A1 - van der Harst, Pim A1 - Heng, Chew-Kiat A1 - Hicks, Andrew A A1 - Hochner, Hagit A1 - Huikuri, Heikki A1 - Hunt, Steven C A1 - Jaddoe, Vincent W V A1 - De Jager, Philip L A1 - Johannesson, Magnus A1 - Johansson, Asa A1 - Jonas, Jost B A1 - Jukema, J Wouter A1 - Junttila, Juhani A1 - Kaprio, Jaakko A1 - Kardia, Sharon L R A1 - Karpe, Fredrik A1 - Kumari, Meena A1 - Laakso, Markku A1 - van der Laan, Sander W A1 - Lahti, Jari A1 - Laudes, Matthias A1 - Lea, Rodney A A1 - Lieb, Wolfgang A1 - Lumley, Thomas A1 - Martin, Nicholas G A1 - März, Winfried A1 - Matullo, Giuseppe A1 - McCarthy, Mark I A1 - Medland, Sarah E A1 - Merriman, Tony R A1 - Metspalu, Andres A1 - Meyer, Brian F A1 - Mohlke, Karen L A1 - Montgomery, Grant W A1 - Mook-Kanamori, Dennis A1 - Munroe, Patricia B A1 - North, Kari E A1 - Nyholt, Dale R A1 - O'Connell, Jeffery R A1 - Ober, Carole A1 - Oldehinkel, Albertine J A1 - Palmas, Walter A1 - Palmer, Colin A1 - Pasterkamp, Gerard G A1 - Patin, Etienne A1 - Pennell, Craig E A1 - Perusse, Louis A1 - Peyser, Patricia A A1 - Pirastu, Mario A1 - Polderman, Tinca J C A1 - Porteous, David J A1 - Posthuma, Danielle A1 - Psaty, Bruce M A1 - Rioux, John D A1 - Rivadeneira, Fernando A1 - Rotimi, Charles A1 - Rotter, Jerome I A1 - Rudan, Igor A1 - den Ruijter, Hester M A1 - Sanghera, Dharambir K A1 - Sattar, Naveed A1 - Schmidt, Reinhold A1 - Schulze, Matthias B A1 - Schunkert, Heribert A1 - Scott, Robert A A1 - Shuldiner, Alan R A1 - Sim, Xueling A1 - Small, Neil A1 - Smith, Jennifer A A1 - Sotoodehnia, Nona A1 - Tai, E-Shyong A1 - Teumer, Alexander A1 - Timpson, Nicholas J A1 - Toniolo, Daniela A1 - Trégouët, David-Alexandre A1 - Tuomi, Tiinamaija A1 - Vollenweider, Peter A1 - Wang, Carol A A1 - Weir, David R A1 - Whitfield, John B A1 - Wijmenga, Cisca A1 - Wong, Tien-Yin A1 - Wright, John A1 - Yang, Jingyun A1 - Yu, Lei A1 - Zemel, Babette S A1 - Zonderman, Alan B A1 - Perola, Markus A1 - Magnusson, Patrik K E A1 - Uitterlinden, André G A1 - Kooner, Jaspal S A1 - Chasman, Daniel I A1 - Loos, Ruth J F A1 - Franceschini, Nora A1 - Franke, Lude A1 - Haley, Chris S A1 - Hayward, Caroline A1 - Walters, Robin G A1 - Perry, John R B A1 - Esko, Tõnu A1 - Helgason, Agnar A1 - Stefansson, Kari A1 - Joshi, Peter K A1 - Kubo, Michiaki A1 - Wilson, James F AB -

In many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (F) for >1.4 million individuals, we show that F is significantly associated (p < 0.0005) with apparently deleterious changes in 32 out of 100 traits analysed. These changes are associated with runs of homozygosity (ROH), but not with common variant homozygosity, suggesting that genetic variants associated with inbreeding depression are predominantly rare. The effect on fertility is striking: F equivalent to the offspring of first cousins is associated with a 55% decrease [95% CI 44-66%] in the odds of having children. Finally, the effects of F are confirmed within full-sibling pairs, where the variation in F is independent of all environmental confounding.

VL - 10 IS - 1 ER - TY - JOUR T1 - Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group. JF - Am J Hypertens Y1 - 2019 A1 - Irvin, Marguerite R A1 - Sitlani, Colleen M A1 - Floyd, James S A1 - Psaty, Bruce M A1 - Bis, Joshua C A1 - Wiggins, Kerri L A1 - Whitsel, Eric A A1 - Stürmer, Til A1 - Stewart, James A1 - Raffield, Laura A1 - Sun, Fangui A1 - Liu, Ching-Ti A1 - Xu, Hanfei A1 - Cupples, Adrienne L A1 - Tanner, Rikki M A1 - Rossing, Peter A1 - Smith, Albert A1 - Zilhão, Nuno R A1 - Launer, Lenore J A1 - Noordam, Raymond A1 - Rotter, Jerome I A1 - Yao, Jie A1 - Li, Xiaohui A1 - Guo, Xiuqing A1 - Limdi, Nita A1 - Sundaresan, Aishwarya A1 - Lange, Leslie A1 - Correa, Adolfo A1 - Stott, David J A1 - Ford, Ian A1 - Jukema, J Wouter A1 - Gudnason, Vilmundur A1 - Mook-Kanamori, Dennis O A1 - Trompet, Stella A1 - Palmas, Walter A1 - Warren, Helen R A1 - Hellwege, Jacklyn N A1 - Giri, Ayush A1 - O'donnell, Christopher A1 - Hung, Adriana M A1 - Edwards, Todd L A1 - Ahluwalia, Tarunveer S A1 - Arnett, Donna K A1 - Avery, Christy L KW - Aged KW - Antihypertensive Agents KW - Black or African American KW - Blood Pressure KW - Case-Control Studies KW - DNA (Cytosine-5-)-Methyltransferases KW - DNA Methyltransferase 3A KW - DNA-Binding Proteins KW - Drug Resistance KW - Dystrophin-Associated Proteins KW - Europe KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Hypertension KW - Male KW - Middle Aged KW - Myosin Heavy Chains KW - Myosin Type V KW - Neuropeptides KW - Pharmacogenetics KW - Pharmacogenomic Variants KW - Polymorphism, Single Nucleotide KW - Risk Assessment KW - Risk Factors KW - Transcription Factors KW - United States KW - White People AB -

BACKGROUND: Only a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described.

METHODS: We conducted a case-control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP ≥ 140 mm Hg and/or diastolic BP ≥ 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931, nAA = 228). Both a normotensive control group and a treatment-responsive control group were considered in separate analyses. Normotensive controls were untreated (nEA = 14,210, nAA = 2,480) and had systolic BP/diastolic BP < 140/90 mm Hg. Treatment-responsive controls (nEA = 5,266, nAA = 1,817) had BP at goal (<140/90 mm Hg), while treated with one antihypertensive medication class. Individual cohorts used logistic regression with adjustment for age, sex, study site, and principal components for ancestry to examine the association of single-nucleotide polymorphisms with case-control status. Inverse variance-weighted fixed-effects meta-analyses were carried out using METAL.

RESULTS: The known hypertension locus, CASZ1, was a top finding among EAs (P = 1.1 × 10-8) and in the race-combined analysis (P = 1.5 × 10-9) using the normotensive control group (rs12046278, odds ratio = 0.71 (95% confidence interval: 0.6-0.8)). Single-nucleotide polymorphisms in this locus were robustly replicated in the Million Veterans Program (MVP) study in consideration of a treatment-responsive control group. There were no statistically significant findings for the discovery analyses including treatment-responsive controls.

CONCLUSION: This genomic discovery effort for aTRH identified CASZ1 as an aTRH risk locus.

VL - 32 IS - 12 ER - TY - JOUR T1 - Impact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts: The Trans-Omics for Precision Medicine Program. JF - Am J Hum Genet Y1 - 2019 A1 - Sarnowski, Chloe A1 - Leong, Aaron A1 - Raffield, Laura M A1 - Wu, Peitao A1 - de Vries, Paul S A1 - DiCorpo, Daniel A1 - Guo, Xiuqing A1 - Xu, Huichun A1 - Liu, Yongmei A1 - Zheng, Xiuwen A1 - Hu, Yao A1 - Brody, Jennifer A A1 - Goodarzi, Mark O A1 - Hidalgo, Bertha A A1 - Highland, Heather M A1 - Jain, Deepti A1 - Liu, Ching-Ti A1 - Naik, Rakhi P A1 - O'Connell, Jeffrey R A1 - Perry, James A A1 - Porneala, Bianca C A1 - Selvin, Elizabeth A1 - Wessel, Jennifer A1 - Psaty, Bruce M A1 - Curran, Joanne E A1 - Peralta, Juan M A1 - Blangero, John A1 - Kooperberg, Charles A1 - Mathias, Rasika A1 - Johnson, Andrew D A1 - Reiner, Alexander P A1 - Mitchell, Braxton D A1 - Cupples, L Adrienne A1 - Vasan, Ramachandran S A1 - Correa, Adolfo A1 - Morrison, Alanna C A1 - Boerwinkle, Eric A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Manning, Alisa K A1 - Dupuis, Josée A1 - Meigs, James B AB -

Hemoglobin A1c (HbA1c) is widely used to diagnose diabetes and assess glycemic control in individuals with diabetes. However, nonglycemic determinants, including genetic variation, may influence how accurately HbA1c reflects underlying glycemia. Analyzing the NHLBI Trans-Omics for Precision Medicine (TOPMed) sequence data in 10,338 individuals from five studies and four ancestries (6,158 Europeans, 3,123 African-Americans, 650 Hispanics, and 407 East Asians), we confirmed five regions associated with HbA1c (GCK in Europeans and African-Americans, HK1 in Europeans and Hispanics, FN3K and/or FN3KRP in Europeans, and G6PD in African-Americans and Hispanics) and we identified an African-ancestry-specific low-frequency variant (rs1039215 in HBG2 and HBE1, minor allele frequency (MAF) = 0.03). The most associated G6PD variant (rs1050828-T, p.Val98Met, MAF = 12% in African-Americans, MAF = 2% in Hispanics) lowered HbA1c (-0.88% in hemizygous males, -0.34% in heterozygous females) and explained 23% of HbA1c variance in African-Americans and 4% in Hispanics. Additionally, we identified a rare distinct G6PD coding variant (rs76723693, p.Leu353Pro, MAF = 0.5%; -0.98% in hemizygous males, -0.46% in heterozygous females) and detected significant association with HbA1c when aggregating rare missense variants in G6PD. We observed similar magnitude and direction of effects for rs1039215 (HBG2) and rs76723693 (G6PD) in the two largest TOPMed African American cohorts, and we replicated the rs76723693 association in the UK Biobank African-ancestry participants. These variants in G6PD and HBG2 were monomorphic in the European and Asian samples. African or Hispanic ancestry individuals carrying G6PD variants may be underdiagnosed for diabetes when screened with HbA1c. Thus, assessment of these variants should be considered for incorporation into precision medicine approaches for diabetes diagnosis.

VL - 105 IS - 4 ER - TY - JOUR T1 - Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease. JF - PLoS One Y1 - 2019 A1 - Ward-Caviness, Cavin K A1 - de Vries, Paul S A1 - Wiggins, Kerri L A1 - Huffman, Jennifer E A1 - Yanek, Lisa R A1 - Bielak, Lawrence F A1 - Giulianini, Franco A1 - Guo, Xiuqing A1 - Kleber, Marcus E A1 - Kacprowski, Tim A1 - Groß, Stefan A1 - Petersman, Astrid A1 - Davey Smith, George A1 - Hartwig, Fernando P A1 - Bowden, Jack A1 - Hemani, Gibran A1 - Müller-Nuraysid, Martina A1 - Strauch, Konstantin A1 - Koenig, Wolfgang A1 - Waldenberger, Melanie A1 - Meitinger, Thomas A1 - Pankratz, Nathan A1 - Boerwinkle, Eric A1 - Tang, Weihong A1 - Fu, Yi-Ping A1 - Johnson, Andrew D A1 - Song, Ci A1 - de Maat, Moniek P M A1 - Uitterlinden, André G A1 - Franco, Oscar H A1 - Brody, Jennifer A A1 - McKnight, Barbara A1 - Chen, Yii-Der Ida A1 - Psaty, Bruce M A1 - Mathias, Rasika A A1 - Becker, Diane M A1 - Peyser, Patricia A A1 - Smith, Jennifer A A1 - Bielinski, Suzette J A1 - Ridker, Paul M A1 - Taylor, Kent D A1 - Yao, Jie A1 - Tracy, Russell A1 - Delgado, Graciela A1 - Trompet, Stella A1 - Sattar, Naveed A1 - Jukema, J Wouter A1 - Becker, Lewis C A1 - Kardia, Sharon L R A1 - Rotter, Jerome I A1 - März, Winfried A1 - Dörr, Marcus A1 - Chasman, Daniel I A1 - Dehghan, Abbas A1 - O'Donnell, Christopher J A1 - Smith, Nicholas L A1 - Peters, Annette A1 - Morrison, Alanna C AB -

BACKGROUND: Fibrinogen is an essential hemostatic factor and cardiovascular disease risk factor. Early attempts at evaluating the causal effect of fibrinogen on coronary heart disease (CHD) and myocardial infraction (MI) using Mendelian randomization (MR) used single variant approaches, and did not take advantage of recent genome-wide association studies (GWAS) or multi-variant, pleiotropy robust MR methodologies.

METHODS AND FINDINGS: We evaluated evidence for a causal effect of fibrinogen on both CHD and MI using MR. We used both an allele score approach and pleiotropy robust MR models. The allele score was composed of 38 fibrinogen-associated variants from recent GWAS. Initial analyses using the allele score used a meta-analysis of 11 European-ancestry prospective cohorts, free of CHD and MI at baseline, to examine incidence CHD and MI. We also applied 2 sample MR methods with data from a prevalent CHD and MI GWAS. Results are given in terms of the hazard ratio (HR) or odds ratio (OR), depending on the study design, and associated 95% confidence interval (CI). In single variant analyses no causal effect of fibrinogen on CHD or MI was observed. In multi-variant analyses using incidence CHD cases and the allele score approach, the estimated causal effect (HR) of a 1 g/L higher fibrinogen concentration was 1.62 (CI = 1.12, 2.36) when using incident cases and the allele score approach. In 2 sample MR analyses that accounted for pleiotropy, the causal estimate (OR) was reduced to 1.18 (CI = 0.98, 1.42) and 1.09 (CI = 0.89, 1.33) in the 2 most precise (smallest CI) models, out of 4 models evaluated. In the 2 sample MR analyses for MI, there was only very weak evidence of a causal effect in only 1 out of 4 models.

CONCLUSIONS: A small causal effect of fibrinogen on CHD is observed using multi-variant MR approaches which account for pleiotropy, but not single variant MR approaches. Taken together, results indicate that even with large sample sizes and multi-variant approaches MR analyses still cannot exclude the null when estimating the causal effect of fibrinogen on CHD, but that any potential causal effect is likely to be much smaller than observed in epidemiological studies.

VL - 14 IS - 5 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 - Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. JF - Nat Commun Y1 - 2019 A1 - Kilpeläinen, Tuomas O A1 - Bentley, Amy R A1 - Noordam, Raymond A1 - Sung, Yun Ju A1 - Schwander, Karen A1 - Winkler, Thomas W A1 - Jakupović, Hermina A1 - Chasman, Daniel I A1 - Manning, Alisa A1 - Ntalla, Ioanna A1 - Aschard, Hugues A1 - Brown, Michael R A1 - de Las Fuentes, Lisa A1 - Franceschini, Nora A1 - Guo, Xiuqing A1 - Vojinovic, Dina A1 - Aslibekyan, Stella A1 - Feitosa, Mary F A1 - Kho, Minjung A1 - Musani, Solomon K A1 - Richard, Melissa A1 - Wang, Heming A1 - Wang, Zhe A1 - Bartz, Traci M A1 - Bielak, Lawrence F A1 - Campbell, Archie A1 - Dorajoo, Rajkumar A1 - Fisher, Virginia A1 - Hartwig, Fernando P A1 - Horimoto, Andrea R V R A1 - Li, Changwei A1 - Lohman, Kurt K A1 - Marten, Jonathan A1 - Sim, Xueling A1 - Smith, Albert V A1 - Tajuddin, Salman M A1 - Alver, Maris A1 - Amini, Marzyeh A1 - Boissel, Mathilde A1 - Chai, Jin Fang A1 - Chen, Xu A1 - Divers, Jasmin A1 - Evangelou, Evangelos A1 - Gao, Chuan A1 - Graff, Mariaelisa A1 - Harris, Sarah E A1 - He, Meian A1 - Hsu, Fang-Chi A1 - Jackson, Anne U A1 - Zhao, Jing Hua A1 - Kraja, Aldi T A1 - Kuhnel, Brigitte A1 - Laguzzi, Federica A1 - Lyytikäinen, Leo-Pekka A1 - Nolte, Ilja M A1 - Rauramaa, Rainer A1 - Riaz, Muhammad A1 - Robino, Antonietta A1 - Rueedi, Rico A1 - Stringham, Heather M A1 - Takeuchi, Fumihiko A1 - van der Most, Peter J A1 - Varga, Tibor V A1 - Verweij, Niek A1 - Ware, Erin B A1 - Wen, Wanqing A1 - Li, Xiaoyin A1 - Yanek, Lisa R A1 - Amin, Najaf A1 - Arnett, Donna K A1 - Boerwinkle, Eric A1 - Brumat, Marco A1 - Cade, Brian A1 - Canouil, Mickaël A1 - Chen, Yii-Der Ida A1 - Concas, Maria Pina A1 - Connell, John A1 - de Mutsert, Renée A1 - de Silva, H Janaka A1 - de Vries, Paul S A1 - Demirkan, Ayse A1 - Ding, Jingzhong A1 - Eaton, Charles B A1 - Faul, Jessica D A1 - Friedlander, Yechiel A1 - Gabriel, Kelley P A1 - Ghanbari, Mohsen A1 - Giulianini, Franco A1 - Gu, Chi Charles A1 - Gu, Dongfeng A1 - Harris, Tamara B A1 - He, Jiang A1 - Heikkinen, Sami A1 - Heng, Chew-Kiat A1 - Hunt, Steven C A1 - Ikram, M Arfan A1 - Jonas, Jost B A1 - Koh, Woon-Puay A1 - Komulainen, Pirjo A1 - Krieger, Jose E A1 - Kritchevsky, Stephen B A1 - Kutalik, Zoltán A1 - Kuusisto, Johanna A1 - Langefeld, Carl D A1 - Langenberg, Claudia A1 - Launer, Lenore J A1 - Leander, Karin A1 - Lemaitre, Rozenn N A1 - Lewis, Cora E A1 - Liang, Jingjing A1 - Liu, Jianjun A1 - Mägi, Reedik A1 - Manichaikul, Ani A1 - Meitinger, Thomas A1 - Metspalu, Andres A1 - Milaneschi, Yuri A1 - Mohlke, Karen L A1 - Mosley, Thomas H A1 - Murray, Alison D A1 - Nalls, Mike A A1 - Nang, Ei-Ei Khaing A1 - Nelson, Christopher P A1 - Nona, Sotoodehnia A1 - Norris, Jill M A1 - Nwuba, Chiamaka Vivian A1 - O'Connell, Jeff A1 - Palmer, Nicholette D A1 - Papanicolau, George J A1 - Pazoki, Raha A1 - Pedersen, Nancy L A1 - Peters, Annette A1 - Peyser, Patricia A A1 - Polasek, Ozren A1 - Porteous, David J A1 - Poveda, Alaitz A1 - Raitakari, Olli T A1 - Rich, Stephen S A1 - Risch, Neil A1 - Robinson, Jennifer G A1 - Rose, Lynda M A1 - Rudan, Igor A1 - Schreiner, Pamela J A1 - Scott, Robert A A1 - Sidney, Stephen S A1 - Sims, Mario A1 - Smith, Jennifer A A1 - Snieder, Harold A1 - Sofer, Tamar A1 - Starr, John M A1 - Sternfeld, Barbara A1 - Strauch, Konstantin A1 - Tang, Hua A1 - Taylor, Kent D A1 - Tsai, Michael Y A1 - Tuomilehto, Jaakko A1 - Uitterlinden, André G A1 - van der Ende, M Yldau A1 - van Heemst, Diana A1 - Voortman, Trudy A1 - Waldenberger, Melanie A1 - Wennberg, Patrik A1 - Wilson, Gregory A1 - Xiang, Yong-Bing A1 - Yao, Jie A1 - Yu, Caizheng A1 - Yuan, Jian-Min A1 - Zhao, Wei A1 - Zonderman, Alan B A1 - Becker, Diane M A1 - Boehnke, Michael A1 - Bowden, Donald W A1 - de Faire, Ulf A1 - Deary, Ian J A1 - Elliott, Paul A1 - Esko, Tõnu A1 - Freedman, Barry I A1 - Froguel, Philippe A1 - Gasparini, Paolo A1 - Gieger, Christian A1 - Kato, Norihiro A1 - Laakso, Markku A1 - Lakka, Timo A A1 - Lehtimäki, Terho A1 - Magnusson, Patrik K E A1 - Oldehinkel, Albertine J A1 - Penninx, Brenda W J H A1 - Samani, Nilesh J A1 - Shu, Xiao-Ou A1 - van der Harst, Pim A1 - van Vliet-Ostaptchouk, Jana V A1 - Vollenweider, Peter A1 - Wagenknecht, Lynne E A1 - Wang, Ya X A1 - Wareham, Nicholas J A1 - Weir, David R A1 - Wu, Tangchun A1 - Zheng, Wei A1 - Zhu, Xiaofeng A1 - Evans, Michele K A1 - Franks, Paul W A1 - Gudnason, Vilmundur A1 - Hayward, Caroline A1 - Horta, Bernardo L A1 - Kelly, Tanika N A1 - Liu, Yongmei A1 - North, Kari E A1 - Pereira, Alexandre C A1 - Ridker, Paul M A1 - Tai, E Shyong A1 - van Dam, Rob M A1 - Fox, Ervin R A1 - Kardia, Sharon L R A1 - Liu, Ching-Ti A1 - Mook-Kanamori, Dennis O A1 - Province, Michael A A1 - Redline, Susan A1 - van Duijn, Cornelia M A1 - Rotter, Jerome I A1 - Kooperberg, Charles B A1 - Gauderman, W James A1 - Psaty, Bruce M A1 - Rice, Kenneth A1 - Munroe, Patricia B A1 - Fornage, Myriam A1 - Cupples, L Adrienne A1 - Rotimi, Charles N A1 - Morrison, Alanna C A1 - Rao, Dabeeru C A1 - Loos, Ruth J F KW - Adolescent KW - Adult KW - African Continental Ancestry Group KW - Aged KW - Aged, 80 and over KW - Asian Continental Ancestry Group KW - Brazil KW - Calcium-Binding Proteins KW - Cholesterol KW - Cholesterol, HDL KW - Cholesterol, LDL KW - European Continental Ancestry Group KW - Exercise KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Genotype KW - Hispanic Americans KW - Humans KW - LIM-Homeodomain Proteins KW - Lipid Metabolism KW - Lipids KW - Male KW - Membrane Proteins KW - Microtubule-Associated Proteins KW - Middle Aged KW - Muscle Proteins KW - Nerve Tissue Proteins KW - Transcription Factors KW - Triglycerides KW - Young Adult AB -

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

VL - 10 IS - 1 ER - TY - JOUR T1 - Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control. JF - Diabetes Y1 - 2019 A1 - Pollack, Samuela A1 - Igo, Robert P A1 - Jensen, Richard A A1 - Christiansen, Mark A1 - Li, Xiaohui A1 - Cheng, Ching-Yu A1 - Ng, Maggie C Y A1 - Smith, Albert V A1 - Rossin, Elizabeth J A1 - Segrè, Ayellet V A1 - Davoudi, Samaneh A1 - Tan, Gavin S A1 - Chen, Yii-Der Ida A1 - Kuo, Jane Z A1 - Dimitrov, Latchezar M A1 - Stanwyck, Lynn K A1 - Meng, Weihua A1 - Hosseini, S Mohsen A1 - Imamura, Minako A1 - Nousome, Darryl A1 - Kim, Jihye A1 - Hai, Yang A1 - Jia, Yucheng A1 - Ahn, Jeeyun A1 - Leong, Aaron A1 - Shah, Kaanan A1 - Park, Kyu Hyung A1 - Guo, Xiuqing A1 - Ipp, Eli A1 - Taylor, Kent D A1 - Adler, Sharon G A1 - Sedor, John R A1 - Freedman, Barry I A1 - Lee, I-Te A1 - Sheu, Wayne H-H A1 - Kubo, Michiaki A1 - Takahashi, Atsushi A1 - Hadjadj, Samy A1 - Marre, Michel A1 - Trégouët, David-Alexandre A1 - McKean-Cowdin, Roberta A1 - Varma, Rohit A1 - McCarthy, Mark I A1 - Groop, Leif A1 - Ahlqvist, Emma A1 - Lyssenko, Valeriya A1 - Agardh, Elisabet A1 - Morris, Andrew A1 - Doney, Alex S F A1 - Colhoun, Helen M A1 - Toppila, Iiro A1 - Sandholm, Niina A1 - Groop, Per-Henrik A1 - Maeda, Shiro A1 - Hanis, Craig L A1 - Penman, Alan A1 - Chen, Ching J A1 - Hancock, Heather A1 - Mitchell, Paul A1 - Craig, Jamie E A1 - Chew, Emily Y A1 - Paterson, Andrew D A1 - Grassi, Michael A A1 - Palmer, Colin A1 - Bowden, Donald W A1 - Yaspan, Brian L A1 - Siscovick, David A1 - Cotch, Mary Frances A1 - Wang, Jie Jin A1 - Burdon, Kathryn P A1 - Wong, Tien Y A1 - Klein, Barbara E K A1 - Klein, Ronald A1 - Rotter, Jerome I A1 - Iyengar, Sudha K A1 - Price, Alkes L A1 - Sobrin, Lucia AB -

To identify genetic variants associated with diabetic retinopathy (DR), we performed a large multiethnic genome-wide association study. Discovery included eight European cohorts ( = 3,246) and seven African American cohorts ( = 2,611). We meta-analyzed across cohorts using inverse-variance weighting, with and without liability threshold modeling of glycemic control and duration of diabetes. Variants with a value <1 × 10 were investigated in replication cohorts that included 18,545 European, 16,453 Asian, and 2,710 Hispanic subjects. After correction for multiple testing, the C allele of rs142293996 in an intron of nuclear VCP-like () was associated with DR in European discovery cohorts ( = 2.1 × 10), but did not reach genome-wide significance after meta-analysis with replication cohorts. We applied the Disease Association Protein-Protein Link Evaluator (DAPPLE) to our discovery results to test for evidence of risk being spread across underlying molecular pathways. One protein-protein interaction network built from genes in regions associated with proliferative DR was found to have significant connectivity ( = 0.0009) and corroborated with gene set enrichment analyses. These findings suggest that genetic variation in as well as variation within a protein-protein interaction network that includes genes implicated in inflammation, may influence risk for DR.

VL - 68 IS - 2 ER - TY - JOUR T1 - Sequencing Analysis at 8p23 Identifies Multiple Rare Variants in DLC1 Associated with Sleep-Related Oxyhemoglobin Saturation Level. JF - Am J Hum Genet Y1 - 2019 A1 - Liang, Jingjing A1 - Cade, Brian E A1 - He, Karen Y A1 - Wang, Heming A1 - Lee, Jiwon A1 - Sofer, Tamar A1 - Williams, Stephanie A1 - Li, Ruitong A1 - Chen, Han A1 - Gottlieb, Daniel J A1 - Evans, Daniel S A1 - Guo, Xiuqing A1 - Gharib, Sina A A1 - Hale, Lauren A1 - Hillman, David R A1 - Lutsey, Pamela L A1 - Mukherjee, Sutapa A1 - Ochs-Balcom, Heather M A1 - Palmer, Lyle J A1 - Rhodes, Jessica A1 - Purcell, Shaun A1 - Patel, Sanjay R A1 - Saxena, Richa A1 - Stone, Katie L A1 - Tang, Weihong A1 - Tranah, Gregory J A1 - Boerwinkle, Eric A1 - Lin, Xihong A1 - Liu, Yongmei A1 - Psaty, Bruce M A1 - Vasan, Ramachandran S A1 - Cho, Michael H A1 - Manichaikul, Ani A1 - Silverman, Edwin K A1 - Barr, R Graham A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Wilson, James G A1 - Redline, Susan A1 - Zhu, Xiaofeng AB -

Average arterial oxyhemoglobin saturation during sleep (AvSpOS) is a clinically relevant measure of physiological stress associated with sleep-disordered breathing, and this measure predicts incident cardiovascular disease and mortality. Using high-depth whole-genome sequencing data from the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) project and focusing on genes with linkage evidence on chromosome 8p23, we observed that six coding and 51 noncoding variants in a gene that encodes the GTPase-activating protein (DLC1) are significantly associated with AvSpOS and replicated in independent subjects. The combined DLC1 association evidence of discovery and replication cohorts reaches genome-wide significance in European Americans (p = 7.9 × 10). A risk score for these variants, built on an independent dataset, explains 0.97% of the AvSpOS variation and contributes to the linkage evidence. The 51 noncoding variants are enriched in regulatory features in a human lung fibroblast cell line and contribute to DLC1 expression variation. Mendelian randomization analysis using these variants indicates a significant causal effect of DLC1 expression in fibroblasts on AvSpOS. Multiple sources of information, including genetic variants, gene expression, and methylation, consistently suggest that DLC1 is a gene associated with AvSpOS.

VL - 105 IS - 5 ER - TY - JOUR T1 - Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. JF - Mol Psychiatry Y1 - 2020 A1 - de Las Fuentes, Lisa A1 - Sung, Yun Ju A1 - Noordam, Raymond A1 - Winkler, Thomas A1 - Feitosa, Mary F A1 - Schwander, Karen A1 - Bentley, Amy R A1 - Brown, Michael R A1 - Guo, Xiuqing A1 - Manning, Alisa A1 - Chasman, Daniel I A1 - Aschard, Hugues A1 - Bartz, Traci M A1 - Bielak, Lawrence F A1 - Campbell, Archie A1 - Cheng, Ching-Yu A1 - Dorajoo, Rajkumar A1 - Hartwig, Fernando P A1 - Horimoto, A R V R A1 - Li, Changwei A1 - Li-Gao, Ruifang A1 - Liu, Yongmei A1 - Marten, Jonathan A1 - Musani, Solomon K A1 - Ntalla, Ioanna A1 - Rankinen, Tuomo A1 - Richard, Melissa A1 - Sim, Xueling A1 - Smith, Albert V A1 - Tajuddin, Salman M A1 - Tayo, Bamidele O A1 - Vojinovic, Dina A1 - Warren, Helen R A1 - Xuan, Deng A1 - Alver, Maris A1 - Boissel, Mathilde A1 - Chai, Jin-Fang A1 - Chen, Xu A1 - Christensen, Kaare A1 - Divers, Jasmin A1 - Evangelou, Evangelos A1 - Gao, Chuan A1 - Girotto, Giorgia A1 - Harris, Sarah E A1 - He, Meian A1 - Hsu, Fang-Chi A1 - Kuhnel, Brigitte A1 - Laguzzi, Federica A1 - Li, Xiaoyin A1 - Lyytikäinen, Leo-Pekka A1 - Nolte, Ilja M A1 - Poveda, Alaitz A1 - Rauramaa, Rainer A1 - Riaz, Muhammad A1 - Rueedi, Rico A1 - Shu, Xiao-Ou A1 - Snieder, Harold A1 - Sofer, Tamar A1 - Takeuchi, Fumihiko A1 - Verweij, Niek A1 - Ware, Erin B A1 - Weiss, Stefan A1 - Yanek, Lisa R A1 - Amin, Najaf A1 - Arking, Dan E A1 - Arnett, Donna K A1 - Bergmann, Sven A1 - Boerwinkle, Eric A1 - Brody, Jennifer A A1 - Broeckel, Ulrich A1 - Brumat, Marco A1 - Burke, Gregory A1 - Cabrera, Claudia P A1 - Canouil, Mickaël A1 - Chee, Miao Li A1 - Chen, Yii-Der Ida A1 - Cocca, Massimiliano A1 - Connell, John A1 - de Silva, H Janaka A1 - de Vries, Paul S A1 - Eiriksdottir, Gudny A1 - Faul, Jessica D A1 - Fisher, Virginia A1 - Forrester, Terrence A1 - Fox, Ervin F A1 - Friedlander, Yechiel A1 - Gao, He A1 - Gigante, Bruna A1 - Giulianini, Franco A1 - Gu, Chi Charles A1 - Gu, Dongfeng A1 - Harris, Tamara B A1 - He, Jiang A1 - Heikkinen, Sami A1 - Heng, Chew-Kiat A1 - Hunt, Steven A1 - Ikram, M Arfan A1 - Irvin, Marguerite R A1 - Kähönen, Mika A1 - Kavousi, Maryam A1 - Khor, Chiea Chuen A1 - Kilpeläinen, Tuomas O A1 - Koh, Woon-Puay A1 - Komulainen, Pirjo A1 - Kraja, Aldi T A1 - Krieger, J E A1 - Langefeld, Carl D A1 - Li, Yize A1 - Liang, Jingjing A1 - Liewald, David C M A1 - Liu, Ching-Ti A1 - Liu, Jianjun A1 - Lohman, Kurt K A1 - Mägi, Reedik A1 - McKenzie, Colin A A1 - Meitinger, Thomas A1 - Metspalu, Andres A1 - Milaneschi, Yuri A1 - Milani, Lili A1 - Mook-Kanamori, Dennis O A1 - Nalls, Mike A A1 - Nelson, Christopher P A1 - Norris, Jill M A1 - O'Connell, Jeff A1 - Ogunniyi, Adesola A1 - Padmanabhan, Sandosh A1 - Palmer, Nicholette D A1 - Pedersen, Nancy L A1 - Perls, Thomas A1 - Peters, Annette A1 - Petersmann, Astrid A1 - Peyser, Patricia A A1 - Polasek, Ozren A1 - Porteous, David J A1 - Raffel, Leslie J A1 - Rice, Treva K A1 - Rotter, Jerome I A1 - Rudan, Igor A1 - Rueda-Ochoa, Oscar-Leonel A1 - Sabanayagam, Charumathi A1 - Salako, Babatunde L A1 - Schreiner, Pamela J A1 - Shikany, James M A1 - Sidney, Stephen S A1 - Sims, Mario A1 - Sitlani, Colleen M A1 - Smith, Jennifer A A1 - Starr, John M A1 - Strauch, Konstantin A1 - Swertz, Morris A A1 - Teumer, Alexander A1 - Tham, Yih Chung A1 - Uitterlinden, André G A1 - Vaidya, Dhananjay A1 - van der Ende, M Yldau A1 - Waldenberger, Melanie A1 - Wang, Lihua A1 - Wang, Ya-Xing A1 - Wei, Wen-Bin A1 - Weir, David R A1 - Wen, Wanqing 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 - Bowden, Donald W A1 - Deary, Ian J A1 - Dörr, Marcus A1 - Esko, Tõnu A1 - Freedman, Barry I A1 - Froguel, Philippe A1 - Gasparini, Paolo A1 - Gieger, Christian A1 - Jonas, Jost Bruno A1 - Kammerer, Candace M A1 - Kato, Norihiro A1 - Lakka, Timo A A1 - Leander, Karin A1 - Lehtimäki, Terho A1 - Magnusson, Patrik K E A1 - Marques-Vidal, Pedro A1 - Penninx, Brenda W J H A1 - Samani, Nilesh J A1 - van der Harst, Pim A1 - Wagenknecht, Lynne E A1 - Wu, Tangchun A1 - Zheng, Wei A1 - Zhu, Xiaofeng A1 - Bouchard, Claude A1 - Cooper, Richard S A1 - Correa, Adolfo A1 - Evans, Michele K A1 - Gudnason, Vilmundur A1 - Hayward, Caroline A1 - Horta, Bernardo L A1 - Kelly, Tanika N A1 - Kritchevsky, Stephen B A1 - Levy, Daniel A1 - Palmas, Walter R A1 - Pereira, A C A1 - Province, Michael M A1 - Psaty, Bruce M A1 - Ridker, Paul M A1 - Rotimi, Charles N A1 - Tai, E Shyong A1 - van Dam, Rob M A1 - van Duijn, Cornelia M A1 - Wong, Tien Yin A1 - Rice, Kenneth A1 - Gauderman, W James A1 - Morrison, Alanna C A1 - North, Kari E A1 - Kardia, Sharon L R A1 - Caulfield, Mark J A1 - Elliott, Paul A1 - Munroe, Patricia B A1 - Franks, Paul W A1 - Rao, Dabeeru C A1 - Fornage, Myriam AB -

Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 × 10). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP.

ER - TY - JOUR T1 - Genetic loci associated with prevalent and incident myocardial infarction and coronary heart disease in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. JF - PLoS One Y1 - 2020 A1 - Hahn, Julie A1 - Fu, Yi-Ping A1 - Brown, Michael R A1 - Bis, Joshua C A1 - de Vries, Paul S A1 - Feitosa, Mary F A1 - Yanek, Lisa R A1 - Weiss, Stefan A1 - Giulianini, Franco A1 - Smith, Albert Vernon A1 - Guo, Xiuqing A1 - Bartz, Traci M A1 - Becker, Diane M A1 - Becker, Lewis C A1 - Boerwinkle, Eric A1 - Brody, Jennifer A A1 - Chen, Yii-Der Ida A1 - Franco, Oscar H A1 - Grove, Megan A1 - Harris, Tamara B A1 - Hofman, Albert A1 - Hwang, Shih-Jen A1 - Kral, Brian G A1 - Launer, Lenore J A1 - Markus, Marcello R P A1 - Rice, Kenneth M A1 - Rich, Stephen S A1 - Ridker, Paul M A1 - Rivadeneira, Fernando A1 - Rotter, Jerome I A1 - Sotoodehnia, Nona A1 - Taylor, Kent D A1 - Uitterlinden, André G A1 - Völker, Uwe A1 - Völzke, Henry A1 - Yao, Jie A1 - Chasman, Daniel I A1 - Dörr, Marcus A1 - Gudnason, Vilmundur A1 - Mathias, Rasika A A1 - Post, Wendy A1 - Psaty, Bruce M A1 - Dehghan, Abbas A1 - O'Donnell, Christopher J A1 - Morrison, Alanna C KW - Aging KW - Coronary Artery Disease KW - Cross-Sectional Studies KW - Europe KW - European Continental Ancestry Group KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Myocardial Infarction KW - Polymorphism, Single Nucleotide KW - Prospective Studies AB -

BACKGROUND: Genome-wide association studies have identified multiple genomic loci associated with coronary artery disease, but most are common variants in non-coding regions that provide limited information on causal genes and etiology of the disease. To overcome the limited scope that common variants provide, we focused our investigation on low-frequency and rare sequence variations primarily residing in coding regions of the genome.

METHODS AND RESULTS: Using samples of individuals of European ancestry from ten cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, both cross-sectional and prospective analyses were conducted to examine associations between genetic variants and myocardial infarction (MI), coronary heart disease (CHD), and all-cause mortality following these events. For prevalent events, a total of 27,349 participants of European ancestry, including 1831 prevalent MI cases and 2518 prevalent CHD cases were used. For incident cases, a total of 55,736 participants of European ancestry were included (3,031 incident MI cases and 5,425 incident CHD cases). There were 1,860 all-cause deaths among the 3,751 MI and CHD cases from six cohorts that contributed to the analysis of all-cause mortality. Single variant and gene-based analyses were performed separately in each cohort and then meta-analyzed for each outcome. A low-frequency intronic variant (rs988583) in PLCL1 was significantly associated with prevalent MI (OR = 1.80, 95% confidence interval: 1.43, 2.27; P = 7.12 × 10-7). We conducted gene-based burden tests for genes with a cumulative minor allele count (cMAC) ≥ 5 and variants with minor allele frequency (MAF) < 5%. TMPRSS5 and LDLRAD1 were significantly associated with prevalent MI and CHD, respectively, and RC3H2 and ANGPTL4 were significantly associated with incident MI and CHD, respectively. No loci were significantly associated with all-cause mortality following a MI or CHD event.

CONCLUSION: This study identified one known locus (ANGPTL4) and four new loci (PLCL1, RC3H2, TMPRSS5, and LDLRAD1) associated with cardiovascular disease risk that warrant further investigation.

VL - 15 IS - 11 ER - TY - JOUR T1 - Genetic Studies of Leptin Concentrations Implicate Leptin in the Regulation of Early Adiposity. JF - Diabetes Y1 - 2020 A1 - Yaghootkar, Hanieh A1 - Zhang, Yiying A1 - Spracklen, Cassandra N A1 - Karaderi, Tugce A1 - Huang, Lam Opal A1 - Bradfield, Jonathan A1 - Schurmann, Claudia A1 - Fine, Rebecca S A1 - Preuss, Michael H A1 - Kutalik, Zoltán A1 - Wittemans, Laura Bl A1 - Lu, Yingchang A1 - Metz, Sophia A1 - Willems, Sara M A1 - Li-Gao, Ruifang A1 - Grarup, Niels A1 - Wang, Shuai A1 - Molnos, Sophie A1 - Sandoval-Zárate, América A A1 - Nalls, Mike A A1 - Lange, Leslie A A1 - Haesser, Jeffrey A1 - Guo, Xiuqing A1 - Lyytikäinen, Leo-Pekka A1 - Feitosa, Mary F A1 - Sitlani, Colleen M A1 - Venturini, Cristina A1 - Mahajan, Anubha A1 - Kacprowski, Tim A1 - Wang, Carol A A1 - Chasman, Daniel I A1 - Amin, Najaf A1 - Broer, Linda A1 - Robertson, Neil A1 - Young, Kristin L A1 - Allison, Matthew A1 - Auer, Paul L A1 - Blüher, Matthias A1 - Borja, Judith B A1 - Bork-Jensen, Jette A1 - Carrasquilla, Germán D A1 - Christofidou, Paraskevi A1 - Demirkan, Ayse A1 - Doege, Claudia A A1 - Garcia, Melissa E A1 - Graff, Mariaelisa A1 - Guo, Kaiying A1 - Hakonarson, Hakon A1 - Hong, Jaeyoung A1 - Ida Chen, Yii-Der A1 - Jackson, Rebecca A1 - Jakupović, Hermina A1 - Jousilahti, Pekka A1 - Justice, Anne E A1 - Kähönen, Mika A1 - Kizer, Jorge R A1 - Kriebel, Jennifer A1 - LeDuc, Charles A A1 - Li, Jin A1 - Lind, Lars A1 - Luan, Jian'an A1 - Mackey, David A1 - Mangino, Massimo A1 - Männistö, Satu A1 - Martin Carli, Jayne F A1 - Medina-Gómez, Carolina A1 - Mook-Kanamori, Dennis O A1 - Morris, Andrew P A1 - de Mutsert, Renée A1 - Nauck, Matthias A1 - Nedeljkovic, Ivana A1 - Pennell, Craig E A1 - Pradhan, Arund D A1 - Psaty, Bruce M A1 - Raitakari, Olli T A1 - Scott, Robert A A1 - Skaaby, Tea A1 - Strauch, Konstantin A1 - Taylor, Kent D A1 - Teumer, Alexander A1 - Uitterlinden, André G A1 - Wu, Ying A1 - Yao, Jie A1 - Walker, Mark A1 - North, Kari E A1 - Kovacs, Peter A1 - Ikram, M Arfan A1 - van Duijn, Cornelia M A1 - Ridker, Paul M A1 - Lye, Stephen A1 - Homuth, Georg A1 - Ingelsson, Erik A1 - Spector, Tim D A1 - McKnight, Barbara A1 - Province, Michael A A1 - Lehtimäki, Terho A1 - Adair, Linda S A1 - Rotter, Jerome I A1 - Reiner, Alexander P A1 - Wilson, James G A1 - Harris, Tamara B A1 - Ripatti, Samuli A1 - Grallert, Harald A1 - Meigs, James B A1 - Salomaa, Veikko A1 - Hansen, Torben A1 - Willems van Dijk, Ko A1 - Wareham, Nicholas J A1 - Grant, Struan Fa A1 - Langenberg, Claudia A1 - Frayling, Timothy M A1 - Lindgren, Cecilia M A1 - Mohlke, Karen L A1 - Leibel, Rudolph L A1 - Loos, Ruth Jf A1 - Kilpeläinen, Tuomas O AB -

Leptin influences food intake by informing the brain about the status of body fat stores. Rare mutations associated with congenital leptin deficiency cause severe early-onset obesity that can be mitigated by administering leptin. However, the role of genetic regulation of leptin in polygenic obesity remains poorly understood. We performed an exome-based analysis in up to 57,232 individuals of diverse ancestries to identify genetic variants that influence adiposity-adjusted leptin concentrations. We identify five novel variants, including four missense variants, in , and , and one intergenic variant near The missense variant Val94Met (rs17151919) in was common in individuals of African ancestry only and its association with lower leptin concentrations was specific to this ancestry (P=2x10, n=3,901). Using analyses, we show that the Met94 allele decreases leptin secretion. We also show that the Met94 allele is associated with higher BMI in young African-ancestry children but not in adults, suggesting leptin regulates early adiposity.

ER - TY - JOUR T1 - Inherited causes of clonal haematopoiesis in 97,691 whole genomes. JF - Nature Y1 - 2020 A1 - Bick, Alexander G A1 - Weinstock, Joshua S A1 - Nandakumar, Satish K A1 - Fulco, Charles P A1 - Bao, Erik L A1 - Zekavat, Seyedeh M A1 - Szeto, Mindy D A1 - Liao, Xiaotian A1 - Leventhal, Matthew J A1 - Nasser, Joseph A1 - Chang, Kyle A1 - Laurie, Cecelia A1 - Burugula, Bala Bharathi A1 - Gibson, Christopher J A1 - Lin, Amy E A1 - Taub, Margaret A A1 - Aguet, Francois A1 - Ardlie, Kristin A1 - Mitchell, Braxton D A1 - Barnes, Kathleen C A1 - Moscati, Arden A1 - Fornage, Myriam A1 - Redline, Susan A1 - Psaty, Bruce M A1 - Silverman, Edwin K A1 - Weiss, Scott T A1 - Palmer, Nicholette D A1 - Vasan, Ramachandran S A1 - Burchard, Esteban G A1 - Kardia, Sharon L R A1 - He, Jiang A1 - Kaplan, Robert C A1 - Smith, Nicholas L A1 - Arnett, Donna K A1 - Schwartz, David A A1 - Correa, Adolfo A1 - de Andrade, Mariza A1 - Guo, Xiuqing A1 - Konkle, Barbara A A1 - Custer, Brian A1 - Peralta, Juan M A1 - Gui, Hongsheng A1 - Meyers, Deborah A A1 - McGarvey, Stephen T A1 - Chen, Ida Yii-Der A1 - Shoemaker, M Benjamin A1 - Peyser, Patricia A A1 - Broome, Jai G A1 - Gogarten, Stephanie M A1 - Wang, Fei Fei A1 - Wong, Quenna A1 - Montasser, May E A1 - Daya, Michelle A1 - Kenny, Eimear E A1 - North, Kari E A1 - Launer, Lenore J A1 - Cade, Brian E A1 - Bis, Joshua C A1 - Cho, Michael H A1 - Lasky-Su, Jessica A1 - Bowden, Donald W A1 - Cupples, L Adrienne A1 - Mak, Angel C Y A1 - Becker, Lewis C A1 - Smith, Jennifer A A1 - Kelly, Tanika N A1 - Aslibekyan, Stella A1 - Heckbert, Susan R A1 - Tiwari, Hemant K A1 - Yang, Ivana V A1 - Heit, John A A1 - Lubitz, Steven A A1 - Johnsen, Jill M A1 - Curran, Joanne E A1 - Wenzel, Sally E A1 - Weeks, Daniel E A1 - Rao, Dabeeru C A1 - Darbar, Dawood A1 - Moon, Jee-Young A1 - Tracy, Russell P A1 - Buth, Erin J A1 - Rafaels, Nicholas A1 - Loos, Ruth J F A1 - Durda, Peter A1 - Liu, Yongmei A1 - Hou, Lifang A1 - Lee, Jiwon A1 - Kachroo, Priyadarshini A1 - Freedman, Barry I A1 - Levy, Daniel A1 - Bielak, Lawrence F A1 - Hixson, James E A1 - Floyd, James S A1 - Whitsel, Eric A A1 - Ellinor, Patrick T A1 - Irvin, Marguerite R A1 - Fingerlin, Tasha E A1 - Raffield, Laura M A1 - Armasu, Sebastian M A1 - Wheeler, Marsha M A1 - Sabino, Ester C A1 - Blangero, John A1 - Williams, L Keoki A1 - Levy, Bruce D A1 - Sheu, Wayne Huey-Herng A1 - Roden, Dan M A1 - Boerwinkle, Eric A1 - Manson, JoAnn E A1 - Mathias, Rasika A A1 - Desai, Pinkal A1 - Taylor, Kent D A1 - Johnson, Andrew D A1 - Auer, Paul L A1 - Kooperberg, Charles A1 - Laurie, Cathy C A1 - Blackwell, Thomas W A1 - Smith, Albert V A1 - Zhao, Hongyu A1 - Lange, Ethan A1 - Lange, Leslie A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Wilson, James G A1 - Scheet, Paul A1 - Kitzman, Jacob O A1 - Lander, Eric S A1 - Engreitz, Jesse M A1 - Ebert, Benjamin L A1 - Reiner, Alexander P A1 - Jaiswal, Siddhartha A1 - Abecasis, Goncalo A1 - Sankaran, Vijay G A1 - Kathiresan, Sekar A1 - Natarajan, Pradeep AB -

Age is the dominant risk factor for most chronic human diseases, but the mechanisms through which ageing confers this risk are largely unknown. The age-related acquisition of somatic mutations that lead to clonal expansion in regenerating haematopoietic stem cell populations has recently been associated with both haematological cancer and coronary heart disease-this phenomenon is termed clonal haematopoiesis of indeterminate potential (CHIP). Simultaneous analyses of germline and somatic whole-genome sequences provide the opportunity to identify root causes of CHIP. Here we analyse high-coverage whole-genome sequences from 97,691 participants of diverse ancestries in the National Heart, Lung, and Blood Institute Trans-omics for Precision Medicine (TOPMed) programme, and identify 4,229 individuals with CHIP. We identify associations with blood cell, lipid and inflammatory traits that are specific to different CHIP driver genes. Association of a genome-wide set of germline genetic variants enabled the identification of three genetic loci associated with CHIP status, including one locus at TET2 that was specific to individuals of African ancestry. In silico-informed in vitro evaluation of the TET2 germline locus enabled the identification of a causal variant that disrupts a TET2 distal enhancer, resulting in increased self-renewal of haematopoietic stem cells. Overall, we observe that germline genetic variation shapes haematopoietic stem cell function, leading to CHIP through mechanisms that are specific to clonal haematopoiesis as well as shared mechanisms that lead to somatic mutations across tissues.

VL - 586 IS - 7831 ER - TY - JOUR T1 - Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction. JF - Nat Commun Y1 - 2020 A1 - Ntalla, Ioanna A1 - Weng, Lu-Chen A1 - Cartwright, James H A1 - Hall, Amelia Weber A1 - Sveinbjornsson, Gardar A1 - Tucker, Nathan R A1 - Choi, Seung Hoan A1 - Chaffin, Mark D A1 - Roselli, Carolina A1 - Barnes, Michael R A1 - Mifsud, Borbala A1 - Warren, Helen R A1 - Hayward, Caroline A1 - Marten, Jonathan A1 - Cranley, James J A1 - Concas, Maria Pina A1 - Gasparini, Paolo A1 - Boutin, Thibaud A1 - Kolcic, Ivana A1 - Polasek, Ozren A1 - Rudan, Igor A1 - Araujo, Nathalia M A1 - Lima-Costa, Maria Fernanda A1 - Ribeiro, Antonio Luiz P A1 - Souza, Renan P A1 - Tarazona-Santos, Eduardo A1 - Giedraitis, Vilmantas A1 - Ingelsson, Erik A1 - Mahajan, Anubha A1 - Morris, Andrew P A1 - del Greco M, Fabiola A1 - Foco, Luisa A1 - Gögele, Martin A1 - Hicks, Andrew A A1 - Cook, James P A1 - Lind, Lars A1 - Lindgren, Cecilia M A1 - Sundström, Johan A1 - Nelson, Christopher P A1 - Riaz, Muhammad B A1 - Samani, Nilesh J A1 - Sinagra, Gianfranco A1 - Ulivi, Sheila A1 - Kähönen, Mika A1 - Mishra, Pashupati P A1 - Mononen, Nina A1 - Nikus, Kjell A1 - Caulfield, Mark J A1 - Dominiczak, Anna A1 - Padmanabhan, Sandosh A1 - Montasser, May E A1 - O'Connell, Jeff R A1 - Ryan, Kathleen A1 - Shuldiner, Alan R A1 - Aeschbacher, Stefanie A1 - Conen, David A1 - Risch, Lorenz A1 - Thériault, Sébastien A1 - Hutri-Kähönen, Nina A1 - Lehtimäki, Terho A1 - Lyytikäinen, Leo-Pekka A1 - Raitakari, Olli T A1 - Barnes, Catriona L K A1 - Campbell, Harry A1 - Joshi, Peter K A1 - Wilson, James F A1 - Isaacs, Aaron A1 - Kors, Jan A A1 - van Duijn, Cornelia M A1 - Huang, Paul L A1 - Gudnason, Vilmundur A1 - Harris, Tamara B A1 - Launer, Lenore J A1 - Smith, Albert V A1 - Bottinger, Erwin P A1 - Loos, Ruth J F A1 - Nadkarni, Girish N A1 - Preuss, Michael H A1 - Correa, Adolfo A1 - Mei, Hao A1 - Wilson, James A1 - Meitinger, Thomas A1 - Müller-Nurasyid, Martina A1 - Peters, Annette A1 - Waldenberger, Melanie A1 - Mangino, Massimo A1 - Spector, Timothy D A1 - Rienstra, Michiel A1 - van de Vegte, Yordi J A1 - van der Harst, Pim A1 - Verweij, Niek A1 - Kääb, Stefan A1 - Schramm, Katharina A1 - Sinner, Moritz F A1 - Strauch, Konstantin A1 - Cutler, Michael J A1 - Fatkin, Diane A1 - London, Barry A1 - Olesen, Morten A1 - Roden, Dan M A1 - Benjamin Shoemaker, M A1 - Gustav Smith, J A1 - Biggs, Mary L A1 - Bis, Joshua C A1 - Brody, Jennifer A A1 - Psaty, Bruce M A1 - Rice, Kenneth A1 - Sotoodehnia, Nona A1 - De Grandi, Alessandro A1 - Fuchsberger, Christian A1 - Pattaro, Cristian A1 - Pramstaller, Peter P A1 - Ford, Ian A1 - Wouter Jukema, J A1 - Macfarlane, Peter W A1 - Trompet, Stella A1 - Dörr, Marcus A1 - Felix, Stephan B A1 - Völker, Uwe A1 - Weiss, Stefan A1 - Havulinna, Aki S A1 - Jula, Antti A1 - Sääksjärvi, Katri A1 - Salomaa, Veikko A1 - Guo, Xiuqing A1 - Heckbert, Susan R A1 - Lin, Henry J A1 - Rotter, Jerome I A1 - Taylor, Kent D A1 - Yao, Jie A1 - de Mutsert, Renée A1 - Maan, Arie C A1 - Mook-Kanamori, Dennis O A1 - Noordam, Raymond A1 - Cucca, Francesco A1 - Ding, Jun A1 - Lakatta, Edward G A1 - Qian, Yong A1 - Tarasov, Kirill V A1 - Levy, Daniel A1 - Lin, Honghuang A1 - Newton-Cheh, Christopher H A1 - Lunetta, Kathryn L A1 - Murray, Alison D A1 - Porteous, David J A1 - Smith, Blair H A1 - Stricker, Bruno H A1 - Uitterlinden, Andre A1 - van den Berg, Marten E A1 - Haessler, Jeffrey A1 - Jackson, Rebecca D A1 - Kooperberg, Charles A1 - Peters, Ulrike A1 - Reiner, Alexander P A1 - Whitsel, Eric A A1 - Alonso, Alvaro A1 - Arking, Dan E A1 - Boerwinkle, Eric A1 - Ehret, Georg B A1 - Soliman, Elsayed Z A1 - Avery, Christy L A1 - Gogarten, Stephanie M A1 - Kerr, Kathleen F A1 - Laurie, Cathy C A1 - Seyerle, Amanda A A1 - Stilp, Adrienne A1 - Assa, Solmaz A1 - Abdullah Said, M A1 - Yldau van der Ende, M A1 - Lambiase, Pier D A1 - Orini, Michele A1 - Ramirez, Julia A1 - Van Duijvenboden, Stefan A1 - Arnar, David O A1 - Gudbjartsson, Daniel F A1 - Holm, Hilma A1 - Sulem, Patrick A1 - Thorleifsson, Gudmar A1 - Thorolfsdottir, Rosa B A1 - Thorsteinsdottir, Unnur A1 - Benjamin, Emelia J A1 - Tinker, Andrew A1 - Stefansson, Kari A1 - Ellinor, Patrick T A1 - Jamshidi, Yalda A1 - Lubitz, Steven A A1 - Munroe, Patricia B AB -

The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5% to 62.6%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.

VL - 11 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 - Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants. JF - Nat Commun Y1 - 2020 A1 - Zhao, Xutong A1 - Qiao, Dandi A1 - Yang, Chaojie A1 - Kasela, Silva A1 - Kim, Wonji A1 - Ma, Yanlin A1 - Shrine, Nick A1 - Batini, Chiara A1 - Sofer, Tamar A1 - Taliun, Sarah A Gagliano A1 - Sakornsakolpat, Phuwanat A1 - Balte, Pallavi P A1 - Prokopenko, Dmitry A1 - Yu, Bing A1 - Lange, Leslie A A1 - Dupuis, Josée A1 - Cade, Brian E A1 - Lee, Jiwon A1 - Gharib, Sina A A1 - Daya, Michelle A1 - Laurie, Cecelia A A1 - Ruczinski, Ingo A1 - Cupples, L Adrienne A1 - Loehr, Laura R A1 - Bartz, Traci M A1 - Morrison, Alanna C A1 - Psaty, Bruce M A1 - Vasan, Ramachandran S A1 - Wilson, James G A1 - Taylor, Kent D A1 - Durda, Peter A1 - Johnson, W Craig A1 - Cornell, Elaine A1 - Guo, Xiuqing A1 - Liu, Yongmei A1 - Tracy, Russell P A1 - Ardlie, Kristin G A1 - Aguet, Francois A1 - VanDenBerg, David J A1 - Papanicolaou, George J A1 - Rotter, Jerome I A1 - Barnes, Kathleen C A1 - Jain, Deepti A1 - Nickerson, Deborah A A1 - Muzny, Donna M A1 - Metcalf, Ginger A A1 - Doddapaneni, Harshavardhan A1 - Dugan-Perez, Shannon A1 - Gupta, Namrata A1 - Gabriel, Stacey A1 - Rich, Stephen S A1 - O'Connor, George T A1 - Redline, Susan A1 - Reed, Robert M A1 - Laurie, Cathy C A1 - Daviglus, Martha L A1 - Preudhomme, Liana K A1 - Burkart, Kristin M A1 - Kaplan, Robert C A1 - Wain, Louise V A1 - Tobin, Martin D A1 - London, Stephanie J A1 - Lappalainen, Tuuli A1 - Oelsner, Elizabeth C A1 - Abecasis, Goncalo R A1 - Silverman, Edwin K A1 - Barr, R Graham A1 - Cho, Michael H A1 - Manichaikul, Ani KW - Adult KW - African Americans KW - Aged KW - Aged, 80 and over KW - Alpha-Ketoglutarate-Dependent Dioxygenase FTO KW - Calcium-Binding Proteins KW - Feasibility Studies KW - Female KW - Follow-Up Studies KW - Genetic Loci KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Intracellular Signaling Peptides and Proteins KW - Lung KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Protein Inhibitors of Activated STAT KW - Pulmonary Disease, Chronic Obstructive KW - Respiratory Physiological Phenomena KW - Small Ubiquitin-Related Modifier Proteins KW - Whole Genome Sequencing AB -

Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.

VL - 11 IS - 1 ER - TY - JOUR T1 - Association of low-frequency and rare coding variants with information processing speed. JF - Transl Psychiatry Y1 - 2021 A1 - Bressler, Jan A1 - Davies, Gail A1 - Smith, Albert V A1 - Saba, Yasaman A1 - Bis, Joshua C A1 - Jian, Xueqiu A1 - Hayward, Caroline A1 - Yanek, Lisa A1 - Smith, Jennifer A A1 - Mirza, Saira S A1 - Wang, Ruiqi A1 - Adams, Hieab H H A1 - Becker, Diane A1 - Boerwinkle, Eric A1 - Campbell, Archie A1 - Cox, Simon R A1 - Eiriksdottir, Gudny A1 - Fawns-Ritchie, Chloe A1 - Gottesman, Rebecca F A1 - Grove, Megan L A1 - Guo, Xiuqing A1 - Hofer, Edith A1 - Kardia, Sharon L R A1 - Knol, Maria J A1 - Koini, Marisa A1 - Lopez, Oscar L A1 - Marioni, Riccardo E A1 - Nyquist, Paul A1 - Pattie, Alison A1 - Polasek, Ozren A1 - Porteous, David J A1 - Rudan, Igor A1 - Satizabal, Claudia L A1 - Schmidt, Helena A1 - Schmidt, Reinhold A1 - Sidney, Stephen A1 - Simino, Jeannette A1 - Smith, Blair H A1 - Turner, Stephen T A1 - van der Lee, Sven J A1 - Ware, Erin B A1 - Whitmer, Rachel A A1 - Yaffe, Kristine A1 - Yang, Qiong A1 - Zhao, Wei A1 - Gudnason, Vilmundur A1 - Launer, Lenore J A1 - Fitzpatrick, Annette L A1 - Psaty, Bruce M A1 - Fornage, Myriam A1 - Arfan Ikram, M A1 - van Duijn, Cornelia M A1 - Seshadri, Sudha A1 - Mosley, Thomas H A1 - Deary, Ian J KW - Adult KW - Aging KW - Cognition KW - Genome-Wide Association Study KW - Geroscience KW - Humans KW - Polymorphism, Single Nucleotide KW - Ubiquitin-Protein Ligases AB -

Measures of information processing speed vary between individuals and decline with age. Studies of aging twins suggest heritability may be as high as 67%. The Illumina HumanExome Bead Chip genotyping array was used to examine the association of rare coding variants with performance on the Digit-Symbol Substitution Test (DSST) in community-dwelling adults participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. DSST scores were available for 30,576 individuals of European ancestry from nine cohorts and for 5758 individuals of African ancestry from four cohorts who were older than 45 years and free of dementia and clinical stroke. Linear regression models adjusted for age and gender were used for analysis of single genetic variants, and the T5, T1, and T01 burden tests that aggregate the number of rare alleles by gene were also applied. Secondary analyses included further adjustment for education. Meta-analyses to combine cohort-specific results were carried out separately for each ancestry group. Variants in RNF19A reached the threshold for statistical significance (p = 2.01 × 10) using the T01 test in individuals of European descent. RNF19A belongs to the class of E3 ubiquitin ligases that confer substrate specificity when proteins are ubiquitinated and targeted for degradation through the 26S proteasome. Variants in SLC22A7 and OR51A7 were suggestively associated with DSST scores after adjustment for education for African-American participants and in the European cohorts, respectively. Further functional characterization of its substrates will be required to confirm the role of RNF19A in cognitive function.

VL - 11 IS - 1 ER - TY - JOUR T1 - Association of mitochondrial DNA copy number with cardiometabolic diseases. JF - Cell Genom Y1 - 2021 A1 - Liu, Xue A1 - Longchamps, Ryan J A1 - Wiggins, Kerri L A1 - Raffield, Laura M A1 - Bielak, Lawrence F A1 - Zhao, Wei A1 - Pitsillides, Achilleas A1 - Blackwell, Thomas W A1 - Yao, Jie A1 - Guo, Xiuqing A1 - Kurniansyah, Nuzulul A1 - Thyagarajan, Bharat A1 - Pankratz, Nathan A1 - Rich, Stephen S A1 - Taylor, Kent D A1 - Peyser, Patricia A A1 - Heckbert, Susan R A1 - Seshadri, Sudha A1 - Cupples, L Adrienne A1 - Boerwinkle, Eric A1 - Grove, Megan L A1 - Larson, Nicholas B A1 - Smith, Jennifer A A1 - Vasan, Ramachandran S A1 - Sofer, Tamar A1 - Fitzpatrick, Annette L A1 - Fornage, Myriam A1 - Ding, Jun A1 - Correa, Adolfo A1 - Abecasis, Goncalo A1 - Psaty, Bruce M A1 - Wilson, James G A1 - Levy, Daniel A1 - Rotter, Jerome I A1 - Bis, Joshua C A1 - Satizabal, Claudia L A1 - Arking, Dan E A1 - Liu, Chunyu AB -

Mitochondrial DNA (mtDNA) is present in multiple copies in human cells. We evaluated cross-sectional associations of whole blood mtDNA copy number (CN) with several cardiometabolic disease traits in 408,361 participants of multiple ancestries in TOPMed and UK Biobank. Age showed a threshold association with mtDNA CN: among younger participants (<65 years of age), each additional 10 years of age was associated with 0.03 standard deviation (s.d.) higher level of mtDNA CN ( = 0.0014) versus a 0.14 s.d. lower level of mtDNA CN ( = 1.82 × 10) among older participants (≥65 years). At lower mtDNA CN levels, we found age-independent associations with increased odds of obesity ( = 5.6 × 10), hypertension ( = 2.8 × 10), diabetes ( = 3.6 × 10), and hyperlipidemia ( = 6.3 × 10). The observed decline in mtDNA CN after 65 years of age may be a key to understanding age-related diseases.

VL - 1 IS - 1 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 - FGL1 as a modulator of plasma D-dimer levels: Exome-wide marker analysis of plasma tPA, PAI-1, and D-dimer. JF - J Thromb Haemost Y1 - 2021 A1 - Thibord, Florian A1 - Song, Ci A1 - Pattee, Jack A1 - Rodriguez, Benjamin A T A1 - Chen, Ming-Huei A1 - O'Donnell, Christopher J A1 - Kleber, Marcus E A1 - Delgado, Graciela E A1 - Guo, Xiuqing A1 - Yao, Jie A1 - Taylor, Kent D A1 - Ozel, Ayse Bilge A1 - Brody, Jennifer A A1 - McKnight, Barbara A1 - Gyorgy, Beata A1 - Simonsick, Eleanor A1 - Leonard, Hampton L A1 - Carrasquilla, Germán D A1 - Guindo-Martinez, Marta A1 - Silveira, Angela A1 - Temprano-Sagrera, Gerard A1 - Yanek, Lisa R A1 - Becker, Diane M A1 - Mathias, Rasika A A1 - Becker, Lewis C A1 - Raffield, Laura M A1 - Kilpeläinen, Tuomas O A1 - Grarup, Niels A1 - Pedersen, Oluf A1 - Hansen, Torben A1 - Linneberg, Allan A1 - Hamsten, Anders A1 - Watkins, Hugh A1 - Sabater-Lleal, Maria A1 - Nalls, Mike A A1 - Trégouët, David-Alexandre A1 - Morange, Pierre-Emmanuel A1 - Psaty, Bruce M A1 - Tracy, Russel P A1 - Smith, Nicholas L A1 - Desch, Karl C A1 - Cushman, Mary A1 - Rotter, Jerome I A1 - de Vries, Paul S A1 - Pankratz, Nathan D A1 - Folsom, Aaron R A1 - Morrison, Alanna C A1 - März, Winfried A1 - Tang, Weihong A1 - Johnson, Andrew D AB -

BACKGROUND: Use of targeted exome-arrays with common, rare variants and functionally enriched variation has led to discovery of new genes contributing to population variation in risk factors. Plasminogen activator-inhibitor 1 (PAI-1), tissue plasminogen activator (tPA), and the plasma product D-dimer are important components of the fibrinolytic system. There have been few large-scale genome-wide or exome-wide studies of PAI-1, tPA, and D-dimer.

OBJECTIVES: We sought to discover new genetic loci contributing to variation in these traits using an exome-array approach.

METHODS: Cohort-level analyses and fixed effects meta-analyses of PAI-1 (n = 15 603), tPA (n = 6876,) and D-dimer (n = 19 306) from 12 cohorts of European ancestry with diverse study design were conducted, including single-variant analyses and gene-based burden testing.

RESULTS: Five variants located in NME7, FGL1, and the fibrinogen locus, all associated with D-dimer levels, achieved genome-wide significance (P < 5 × 10 ). Replication was sought for these 5 variants, as well as 45 well-imputed variants with P < 1 × 10 in the discovery using an independent cohort. Replication was observed for three out of the five significant associations, including a novel and uncommon (0.013 allele frequency) coding variant p.Trp256Leu in FGL1 (fibrinogen-like-1) with increased plasma D-dimer levels. Additionally, a candidate-gene approach revealed a suggestive association for a coding variant (rs143202684-C) in SERPINB2, and suggestive associations with consistent effect in the replication analysis include an intronic variant (rs11057830-A) in SCARB1 associated with increased D-dimer levels.

CONCLUSION: This work provides new evidence for a role of FGL1 in hemostasis.

ER - TY - JOUR T1 - Identification of Functional Genetic Determinants of Cardiac Troponin T and I in a Multiethnic Population and Causal Associations With Atrial Fibrillation. JF - Circ Genom Precis Med Y1 - 2021 A1 - Yang, Yunju A1 - Bartz, Traci M A1 - Brown, Michael R A1 - Guo, Xiuqing A1 - Zilhão, Nuno R A1 - Trompet, Stella A1 - Weiss, Stefan A1 - Yao, Jie A1 - Brody, Jennifer A A1 - deFilippi, Christopher R A1 - Hoogeveen, Ron C A1 - Lin, Henry J A1 - Gudnason, Vilmundur A1 - Ballantyne, Christie M A1 - Dörr, Marcus A1 - Jukema, J Wouter A1 - Petersmann, Astrid A1 - Psaty, Bruce M A1 - Rotter, Jerome I A1 - Boerwinkle, Eric A1 - Fornage, Myriam A1 - Jun, Goo A1 - Yu, Bing AB -

BACKGROUND: Elevated cardiac troponin levels in blood are associated with increased risk of cardiovascular diseases and mortality. Cardiac troponin levels are heritable, but their genetic architecture remains elusive.

METHODS: We conducted a transethnic genome-wide association analysis on high-sensitivity cTnT (cardiac troponin T; hs-cTnT) and high-sensitivity cTnI (cardiac troponin I; hs-cTnI) levels in 24 617 and 14 336 participants free of coronary heart disease and heart failure from 6 population-based cohorts, followed by a series of bioinformatic analyses to decipher the genetic architecture of hs-cTnT and hs-cTnI.

RESULTS: We identified 4 genome-wide significant loci for hs-cTnT including a novel locus rs3737882 in and 3 previously reported loci at , , and . One known locus at was replicated for hs-cTnI. One copy of C allele for rs3737882 was associated with a 6% increase in hs-cTnT levels (minor allele frequency, 0.18; =2.80×10). We observed pleiotropic loci located at and . The proportions of variances explained by single-nucleotide polymorphisms were 10.15% and 7.74% for hs-cTnT and hs-cTnI, respectively. Single-nucleotide polymorphisms were colocalized with expression in heart tissues and hs-cTnT and with expression in artery, heart tissues, and whole blood and both troponins. Mendelian randomization analyses showed that genetically increased hs-cTnT and hs-cTnI levels were associated with higher odds of atrial fibrillation (odds ratio, 1.38 [95% CI, 1.25-1.54] for hs-cTnT and 1.21 [95% CI, 1.06-1.37] for hs-cTnI).

CONCLUSIONS: We identified a novel genetic locus associated with hs-cTnT in a multiethnic population and found that genetically regulated troponin levels were associated with atrial fibrillation.

VL - 14 IS - 6 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 - Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure. JF - Mol Psychiatry Y1 - 2021 A1 - Wang, Heming A1 - Noordam, Raymond A1 - Cade, Brian E A1 - Schwander, Karen A1 - Winkler, Thomas W A1 - Lee, Jiwon A1 - Sung, Yun Ju A1 - Bentley, Amy R A1 - Manning, Alisa K A1 - Aschard, Hugues A1 - Kilpeläinen, Tuomas O A1 - Ilkov, Marjan A1 - Brown, Michael R A1 - Horimoto, Andrea R A1 - Richard, Melissa A1 - Bartz, Traci M A1 - Vojinovic, Dina A1 - Lim, Elise A1 - Nierenberg, Jovia L A1 - Liu, Yongmei A1 - Chitrala, Kumaraswamynaidu A1 - Rankinen, Tuomo A1 - Musani, Solomon K A1 - Franceschini, Nora A1 - Rauramaa, Rainer A1 - Alver, Maris A1 - Zee, Phyllis C A1 - Harris, Sarah E A1 - van der Most, Peter J A1 - Nolte, Ilja M A1 - Munroe, Patricia B A1 - Palmer, Nicholette D A1 - Kuhnel, Brigitte A1 - Weiss, Stefan A1 - Wen, Wanqing A1 - Hall, Kelly A A1 - Lyytikäinen, Leo-Pekka A1 - O'Connell, Jeff A1 - Eiriksdottir, Gudny A1 - Launer, Lenore J A1 - de Vries, Paul S A1 - Arking, Dan E A1 - Chen, Han A1 - Boerwinkle, Eric A1 - Krieger, Jose E A1 - Schreiner, Pamela J A1 - Sidney, Stephen A1 - Shikany, James M A1 - Rice, Kenneth A1 - Chen, Yii-Der Ida A1 - Gharib, Sina A A1 - Bis, Joshua C A1 - Luik, Annemarie I A1 - Ikram, M Arfan A1 - Uitterlinden, André G A1 - Amin, Najaf A1 - Xu, Hanfei A1 - Levy, Daniel A1 - He, Jiang A1 - Lohman, Kurt K A1 - Zonderman, Alan B A1 - Rice, Treva K A1 - Sims, Mario A1 - Wilson, Gregory A1 - Sofer, Tamar A1 - Rich, Stephen S A1 - Palmas, Walter A1 - Yao, Jie A1 - Guo, Xiuqing A1 - Rotter, Jerome I A1 - Biermasz, Nienke R A1 - Mook-Kanamori, Dennis O A1 - Martin, Lisa W A1 - Barac, Ana A1 - Wallace, Robert B A1 - Gottlieb, Daniel J A1 - Komulainen, Pirjo A1 - Heikkinen, Sami A1 - Mägi, Reedik A1 - Milani, Lili A1 - Metspalu, Andres A1 - Starr, John M A1 - Milaneschi, Yuri A1 - Waken, R J A1 - Gao, Chuan A1 - Waldenberger, Melanie A1 - Peters, Annette A1 - Strauch, Konstantin A1 - Meitinger, Thomas A1 - Roenneberg, Till A1 - Völker, Uwe A1 - Dörr, Marcus A1 - Shu, Xiao-Ou A1 - Mukherjee, Sutapa A1 - Hillman, David R A1 - Kähönen, Mika A1 - Wagenknecht, Lynne E A1 - Gieger, Christian A1 - Grabe, Hans J A1 - Zheng, Wei A1 - Palmer, Lyle J A1 - Lehtimäki, Terho A1 - Gudnason, Vilmundur A1 - Morrison, Alanna C A1 - Pereira, Alexandre C A1 - Fornage, Myriam A1 - Psaty, Bruce M A1 - van Duijn, Cornelia M A1 - Liu, Ching-Ti A1 - Kelly, Tanika N A1 - Evans, Michele K A1 - Bouchard, Claude A1 - Fox, Ervin R A1 - Kooperberg, Charles A1 - Zhu, Xiaofeng A1 - Lakka, Timo A A1 - Esko, Tõnu A1 - North, Kari E A1 - Deary, Ian J A1 - Snieder, Harold A1 - Penninx, Brenda W J H A1 - Gauderman, W James A1 - Rao, Dabeeru C A1 - Redline, Susan A1 - van Heemst, Diana AB -

Long and short sleep duration are associated with elevated blood pressure (BP), possibly through effects on molecular pathways that influence neuroendocrine and vascular systems. To gain new insights into the genetic basis of sleep-related BP variation, we performed genome-wide gene by short or long sleep duration interaction analyses on four BP traits (systolic BP, diastolic BP, mean arterial pressure, and pulse pressure) across five ancestry groups in two stages using 2 degree of freedom (df) joint test followed by 1df test of interaction effects. Primary multi-ancestry analysis in 62,969 individuals in stage 1 identified three novel gene by sleep interactions that were replicated in an additional 59,296 individuals in stage 2 (stage 1 + 2 P < 5 × 10), including rs7955964 (FIGNL2/ANKRD33) that increases BP among long sleepers, and rs73493041 (SNORA26/C9orf170) and rs10406644 (KCTD15/LSM14A) that increase BP among short sleepers (P < 5 × 10). Secondary ancestry-specific analysis identified another novel gene by long sleep interaction at rs111887471 (TRPC3/KIAA1109) in individuals of African ancestry (P = 2 × 10). Combined stage 1 and 2 analyses additionally identified significant gene by long sleep interactions at 10 loci including MKLN1 and RGL3/ELAVL3 previously associated with BP, and significant gene by short sleep interactions at 10 loci including C2orf43 previously associated with BP (P < 10). 2df test also identified novel loci for BP after modeling sleep that has known functions in sleep-wake regulation, nervous and cardiometabolic systems. This study indicates that sleep and primary mechanisms regulating BP may interact to elevate BP level, suggesting novel insights into sleep-related BP regulation.

ER - TY - JOUR T1 - Multiethnic Genome-Wide Association Study of Subclinical Atherosclerosis in Individuals With Type 2 Diabetes. JF - Circ Genom Precis Med Y1 - 2021 A1 - Lu, Yingchang A1 - Dimitrov, Latchezar A1 - Chen, Shyh-Huei A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Feitosa, Mary F A1 - Lu, Lingyi A1 - Kavousi, Maryam A1 - Raffield, Laura M A1 - Smith, Albert V A1 - Wang, Lihua A1 - Weiss, Stefan A1 - Yao, Jie A1 - Zhu, Jiaxi A1 - Gudmundsson, Elias F A1 - Gudmundsdottir, Valborg A1 - Bos, Daniel A1 - Ghanbari, Mohsen A1 - Ikram, M Arfan A1 - Hwang, Shih-Jen A1 - Taylor, Kent D A1 - Budoff, Matthew J A1 - Gislason, Gauti K A1 - O'Donnell, Christopher J A1 - An, Ping A1 - Franceschini, Nora A1 - Freedman, Barry I A1 - Fu, Yi-Ping A1 - Guo, Xiuqing A1 - Heiss, Gerardo A1 - Kardia, Sharon L R A1 - Wilson, James G A1 - Langefeld, Carl D A1 - Schminke, Ulf A1 - Uitterlinden, André G A1 - Lange, Leslie A A1 - Peyser, Patricia A A1 - Gudnason, Vilmundur G A1 - Psaty, Bruce M A1 - Rotter, Jerome I A1 - Bowden, Donald W A1 - Ng, Maggie C Y AB -

BACKGROUND: Coronary artery calcification (CAC) and carotid artery intima-media thickness (cIMT) are measures of subclinical atherosclerosis in asymptomatic individuals and strong risk factors for cardiovascular disease. Type 2 diabetes (T2D) is an independent cardiovascular disease risk factor that accelerates atherosclerosis.

METHODS: We performed meta-analyses of genome-wide association studies in up to 2500 T2D individuals of European ancestry (EA) and 1590 T2D individuals of African ancestry with or without exclusion of prevalent cardiovascular disease, for CAC measured by cardiac computed tomography, and 3608 individuals of EA and 838 individuals of African ancestry with T2D for cIMT measured by ultrasonography within the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium.

RESULTS: We replicated 2 loci (rs9369640 and rs9349379 near and rs10757278 near ) for CAC and one locus for cIMT (rs7412 and rs445925 near ) that were previously reported in the general EA populations. We identified one novel CAC locus (rs8000449 near at 13q13.3) at =2.0×10 in EA. No additional loci were identified with the meta-analyses of EA and African ancestry. The expression quantitative trait loci analysis with nearby expressed genes derived from arterial wall and metabolic tissues from the Genotype-Tissue Expression project pinpoints , encoding a matricellular protein involved in bone formation and bone matrix organization, as the potential candidate gene at this locus. In addition, we found significant associations (<3.1×10) for 3 previously reported coronary artery disease loci for these subclinical atherosclerotic phenotypes (rs2891168 near and rs11170820 near for CAC, and rs7412 near for cIMT).

CONCLUSIONS: Our results provide potential biological mechanisms that could link CAC and cIMT to increased cardiovascular disease risk in individuals with T2D.

VL - 14 IS - 4 ER - TY - JOUR T1 - Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. JF - Nature Y1 - 2021 A1 - Taliun, Daniel A1 - Harris, Daniel N A1 - Kessler, Michael D A1 - Carlson, Jedidiah A1 - Szpiech, Zachary A A1 - Torres, Raul A1 - Taliun, Sarah A Gagliano A1 - Corvelo, André A1 - Gogarten, Stephanie M A1 - Kang, Hyun Min A1 - Pitsillides, Achilleas N A1 - LeFaive, Jonathon A1 - Lee, Seung-Been A1 - Tian, Xiaowen A1 - Browning, Brian L A1 - Das, Sayantan A1 - Emde, Anne-Katrin A1 - Clarke, Wayne E A1 - Loesch, Douglas P A1 - Shetty, Amol C A1 - Blackwell, Thomas W A1 - Smith, Albert V A1 - Wong, Quenna A1 - Liu, Xiaoming A1 - Conomos, Matthew P A1 - Bobo, Dean M A1 - Aguet, Francois A1 - Albert, Christine A1 - Alonso, Alvaro A1 - Ardlie, Kristin G A1 - Arking, Dan E A1 - Aslibekyan, Stella A1 - Auer, Paul L A1 - Barnard, John A1 - Barr, R Graham A1 - Barwick, Lucas A1 - Becker, Lewis C A1 - Beer, Rebecca L A1 - Benjamin, Emelia J A1 - Bielak, Lawrence F A1 - Blangero, John A1 - Boehnke, Michael A1 - Bowden, Donald W A1 - Brody, Jennifer A A1 - Burchard, Esteban G A1 - Cade, Brian E A1 - Casella, James F A1 - Chalazan, Brandon A1 - Chasman, Daniel I A1 - Chen, Yii-Der Ida A1 - Cho, Michael H A1 - Choi, Seung Hoan A1 - Chung, Mina K A1 - Clish, Clary B A1 - Correa, Adolfo A1 - Curran, Joanne E A1 - Custer, Brian A1 - Darbar, Dawood A1 - Daya, Michelle A1 - de Andrade, Mariza A1 - DeMeo, Dawn L A1 - Dutcher, Susan K A1 - Ellinor, Patrick T A1 - Emery, Leslie S A1 - Eng, Celeste A1 - Fatkin, Diane A1 - Fingerlin, Tasha A1 - Forer, Lukas A1 - Fornage, Myriam A1 - Franceschini, Nora A1 - Fuchsberger, Christian A1 - Fullerton, Stephanie M A1 - Germer, Soren A1 - Gladwin, Mark T A1 - Gottlieb, Daniel J A1 - Guo, Xiuqing A1 - Hall, Michael E A1 - He, Jiang A1 - Heard-Costa, Nancy L A1 - Heckbert, Susan R A1 - Irvin, Marguerite R A1 - Johnsen, Jill M A1 - Johnson, Andrew D A1 - Kaplan, Robert A1 - Kardia, Sharon L R A1 - Kelly, Tanika A1 - Kelly, Shannon A1 - Kenny, Eimear E A1 - Kiel, Douglas P A1 - Klemmer, Robert A1 - Konkle, Barbara A A1 - Kooperberg, Charles A1 - Köttgen, Anna A1 - Lange, Leslie A A1 - Lasky-Su, Jessica A1 - Levy, Daniel A1 - Lin, Xihong A1 - Lin, Keng-Han A1 - Liu, Chunyu A1 - Loos, Ruth J F A1 - Garman, Lori A1 - Gerszten, Robert A1 - Lubitz, Steven A A1 - Lunetta, Kathryn L A1 - Mak, Angel C Y A1 - Manichaikul, Ani A1 - Manning, Alisa K A1 - Mathias, Rasika A A1 - McManus, David D A1 - McGarvey, Stephen T A1 - Meigs, James B A1 - Meyers, Deborah A A1 - Mikulla, Julie L A1 - Minear, Mollie A A1 - Mitchell, Braxton D A1 - Mohanty, Sanghamitra A1 - Montasser, May E A1 - Montgomery, Courtney A1 - Morrison, Alanna C A1 - Murabito, Joanne M A1 - Natale, Andrea A1 - Natarajan, Pradeep A1 - Nelson, Sarah C A1 - North, Kari E A1 - O'Connell, Jeffrey R A1 - Palmer, Nicholette D A1 - Pankratz, Nathan A1 - Peloso, Gina M A1 - Peyser, Patricia A A1 - Pleiness, Jacob A1 - Post, Wendy S A1 - Psaty, Bruce M A1 - Rao, D C A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Roden, Dan A1 - Rotter, Jerome I A1 - Ruczinski, Ingo A1 - Sarnowski, Chloe A1 - Schoenherr, Sebastian A1 - Schwartz, David A A1 - Seo, Jeong-Sun A1 - Seshadri, Sudha A1 - Sheehan, Vivien A A1 - Sheu, Wayne H A1 - Shoemaker, M Benjamin A1 - Smith, Nicholas L A1 - Smith, Jennifer A A1 - Sotoodehnia, Nona A1 - Stilp, Adrienne M A1 - Tang, Weihong A1 - Taylor, Kent D A1 - Telen, Marilyn A1 - Thornton, Timothy A A1 - Tracy, Russell P A1 - Van Den Berg, David J A1 - Vasan, Ramachandran S A1 - Viaud-Martinez, Karine A A1 - Vrieze, Scott A1 - Weeks, Daniel E A1 - Weir, Bruce S A1 - Weiss, Scott T A1 - Weng, Lu-Chen A1 - Willer, Cristen J A1 - Zhang, Yingze A1 - Zhao, Xutong A1 - Arnett, Donna K A1 - Ashley-Koch, Allison E A1 - Barnes, Kathleen C A1 - Boerwinkle, Eric A1 - Gabriel, Stacey A1 - Gibbs, Richard A1 - Rice, Kenneth M A1 - Rich, Stephen S A1 - Silverman, Edwin K A1 - Qasba, Pankaj A1 - Gan, Weiniu A1 - Papanicolaou, George J A1 - Nickerson, Deborah A A1 - Browning, Sharon R A1 - Zody, Michael C A1 - Zöllner, Sebastian A1 - Wilson, James G A1 - Cupples, L Adrienne A1 - Laurie, Cathy C A1 - Jaquish, Cashell E A1 - Hernandez, Ryan D A1 - O'Connor, Timothy D A1 - Abecasis, Goncalo R AB -

The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes). In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01%.

VL - 590 IS - 7845 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 - Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program. JF - Genome Med Y1 - 2021 A1 - Cade, Brian E A1 - Lee, Jiwon A1 - Sofer, Tamar A1 - Wang, Heming A1 - Zhang, Man A1 - Chen, Han A1 - Gharib, Sina A A1 - Gottlieb, Daniel J A1 - Guo, Xiuqing A1 - Lane, Jacqueline M A1 - Liang, Jingjing A1 - Lin, Xihong A1 - Mei, Hao A1 - Patel, Sanjay R A1 - Purcell, Shaun M A1 - Saxena, Richa A1 - Shah, Neomi A A1 - Evans, Daniel S A1 - Hanis, Craig L A1 - Hillman, David R A1 - Mukherjee, Sutapa A1 - Palmer, Lyle J A1 - Stone, Katie L A1 - Tranah, Gregory J A1 - Abecasis, Goncalo R A1 - Boerwinkle, Eric A A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Kaplan, Robert C A1 - Nickerson, Deborah A A1 - North, Kari E A1 - Psaty, Bruce M A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Tracy, Russell P A1 - Vasan, Ramachandran S A1 - Wilson, James G A1 - Zhu, Xiaofeng A1 - Redline, Susan AB -

BACKGROUND: Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing.

METHODS: The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation < 90%. We adjusted for age, sex, BMI, study, and family structure using MMSKAT and EMMAX mixed linear model approaches. Additional bioinformatics analyses were performed with MetaXcan, GIGSEA, and ReMap.

RESULTS: We identified a multi-ethnic set-based rare-variant association (p = 3.48 × 10) on chromosome X with ARMCX3. Additional rare-variant associations include ARMCX3-AS1, MRPS33, and C16orf90. Novel common-variant loci were identified in the NRG1 and SLC45A2 regions, and previously associated loci in the IL18RAP and ATP2B4 regions were associated with novel phenotypes. Transcription factor binding site enrichment identified associations with genes implicated with respiratory and craniofacial traits. Additional analyses identified significantly associated pathways.

CONCLUSIONS: We have identified the first gene-based rare-variant associations with objectively measured sleep-disordered breathing traits. Our results increase the understanding of the genetic architecture of sleep-disordered breathing and highlight associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis, and HIF1A-mediated hypoxic response.

VL - 13 IS - 1 ER - TY - JOUR T1 - Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data. JF - Nat Genet Y1 - 2022 A1 - Wainschtein, Pierrick A1 - Jain, Deepti A1 - Zheng, Zhili A1 - Cupples, L Adrienne A1 - Shadyab, Aladdin H A1 - McKnight, Barbara A1 - Shoemaker, Benjamin M A1 - Mitchell, Braxton D A1 - Psaty, Bruce M A1 - Kooperberg, Charles A1 - Liu, Ching-Ti A1 - Albert, Christine M A1 - Roden, Dan A1 - Chasman, Daniel I A1 - Darbar, Dawood A1 - Lloyd-Jones, Donald M A1 - Arnett, Donna K A1 - Regan, Elizabeth A A1 - Boerwinkle, Eric A1 - Rotter, Jerome I A1 - O'Connell, Jeffrey R A1 - Yanek, Lisa R A1 - de Andrade, Mariza A1 - Allison, Matthew A A1 - McDonald, Merry-Lynn N A1 - Chung, Mina K A1 - Fornage, Myriam A1 - Chami, Nathalie A1 - Smith, Nicholas L A1 - Ellinor, Patrick T A1 - Vasan, Ramachandran S A1 - Mathias, Rasika A A1 - Loos, Ruth J F A1 - Rich, Stephen S A1 - Lubitz, Steven A A1 - Heckbert, Susan R A1 - Redline, Susan A1 - Guo, Xiuqing A1 - Chen, Y -D Ida A1 - Laurie, Cecelia A A1 - Hernandez, Ryan D A1 - McGarvey, Stephen T A1 - Goddard, Michael E A1 - Laurie, Cathy C A1 - North, Kari E A1 - Lange, Leslie A A1 - Weir, Bruce S A1 - Yengo, Loic A1 - Yang, Jian A1 - Visscher, Peter M AB -

Analyses of data from genome-wide association studies on unrelated individuals have shown that, for human traits and diseases, approximately one-third to two-thirds of heritability is captured by common SNPs. However, it is not known whether the remaining heritability is due to the imperfect tagging of causal variants by common SNPs, in particular whether the causal variants are rare, or whether it is overestimated due to bias in inference from pedigree data. Here we estimated heritability for height and body mass index (BMI) from whole-genome sequence data on 25,465 unrelated individuals of European ancestry. The estimated heritability was 0.68 (standard error 0.10) for height and 0.30 (standard error 0.10) for body mass index. Low minor allele frequency variants in low linkage disequilibrium (LD) with neighboring variants were enriched for heritability, to a greater extent for protein-altering variants, consistent with negative selection. Our results imply that rare variants, in particular those in regions of low linkage disequilibrium, are a major source of the still missing heritability of complex traits and disease.

VL - 54 IS - 3 ER - TY - JOUR T1 - Correlations between complex human phenotypes vary by genetic background, gender, and environment. JF - Cell Rep Med Y1 - 2022 A1 - Elgart, Michael A1 - Goodman, Matthew O A1 - Isasi, Carmen A1 - Chen, Han A1 - Morrison, Alanna C A1 - de Vries, Paul S A1 - Xu, Huichun A1 - Manichaikul, Ani W A1 - Guo, Xiuqing A1 - Franceschini, Nora A1 - Psaty, Bruce M A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Lloyd-Jones, Donald M A1 - Fornage, Myriam A1 - Correa, Adolfo A1 - Heard-Costa, Nancy L A1 - Vasan, Ramachandran S A1 - Hernandez, Ryan A1 - Kaplan, Robert C A1 - Redline, Susan A1 - Sofer, Tamar KW - Female KW - Genetic Background KW - Humans KW - Male KW - Phenotype AB -

We develop a closed-form Haseman-Elston estimator for genetic and environmental correlation coefficients between complex phenotypes, which we term HEc, that is as precise as GCTA yet ∼20× faster. We estimate genetic and environmental correlations between over 7,000 phenotype pairs in subgroups from the Trans-Omics in Precision Medicine (TOPMed) program. We demonstrate substantial differences in both heritabilities and genetic correlations for multiple phenotypes and phenotype pairs between individuals of self-reported Black, Hispanic/Latino, and White backgrounds. We similarly observe differences in many of the genetic and environmental correlations between genders. To estimate the contribution of genetics to the observed phenotypic correlation, we introduce "fractional genetic correlation" as the fraction of phenotypic correlation explained by genetics. Finally, we quantify the enrichment of correlations between phenotypic domains, each of which is comprised of multiple phenotypes. Altogether, we demonstrate that the observed correlations between complex human phenotypes depend on the genetic background of the individuals, their gender, and their environment.

VL - 3 IS - 12 ER - TY - JOUR T1 - A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies. JF - Nat Methods Y1 - 2022 A1 - Li, Zilin A1 - Li, Xihao A1 - Zhou, Hufeng A1 - Gaynor, Sheila M A1 - Selvaraj, Margaret Sunitha A1 - Arapoglou, Theodore A1 - Quick, Corbin A1 - Liu, Yaowu A1 - Chen, Han A1 - Sun, Ryan A1 - Dey, Rounak A1 - Arnett, Donna K A1 - Auer, Paul L A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Blackwell, Thomas W A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bowden, Donald W A1 - Brody, Jennifer A A1 - Cade, Brian E A1 - Conomos, Matthew P A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Curran, Joanne E A1 - de Vries, Paul S A1 - Duggirala, Ravindranath A1 - Franceschini, Nora A1 - Freedman, Barry I A1 - Göring, Harald H H A1 - Guo, Xiuqing A1 - Kalyani, Rita R A1 - Kooperberg, Charles A1 - Kral, Brian G A1 - Lange, Leslie A A1 - Lin, Bridget M A1 - Manichaikul, Ani A1 - Manning, Alisa K A1 - Martin, Lisa W A1 - Mathias, Rasika A A1 - Meigs, James B A1 - Mitchell, Braxton D A1 - Montasser, May E A1 - Morrison, Alanna C A1 - Naseri, Take A1 - O'Connell, Jeffrey R A1 - Palmer, Nicholette D A1 - Peyser, Patricia A A1 - Psaty, Bruce M A1 - Raffield, Laura M A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Reupena, Muagututi'a Sefuiva A1 - Rice, Kenneth M A1 - Rich, Stephen S A1 - Smith, Jennifer A A1 - Taylor, Kent D A1 - Taub, Margaret A A1 - Vasan, Ramachandran S A1 - Weeks, Daniel E A1 - Wilson, James G A1 - Yanek, Lisa R A1 - Zhao, Wei A1 - Rotter, Jerome I A1 - Willer, Cristen J A1 - Natarajan, Pradeep A1 - Peloso, Gina M A1 - Lin, Xihong KW - Genetic Variation KW - Genome KW - Genome-Wide Association Study KW - Humans KW - Phenotype KW - Whole Genome Sequencing AB -

Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate multiple functional annotations. In non-gene-centric analysis, STAARpipeline uses SCANG-STAAR to incorporate dynamic window sizes and multiple functional annotations. We apply STAARpipeline to identify noncoding RV sets associated with four lipid traits in 21,015 discovery samples from the Trans-Omics for Precision Medicine (TOPMed) program and replicate several of them in an additional 9,123 TOPMed samples. We also analyze five non-lipid TOPMed traits.

VL - 19 IS - 12 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 - Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. JF - Nat Genet Y1 - 2022 A1 - Mahajan, Anubha A1 - Spracklen, Cassandra N A1 - Zhang, Weihua A1 - Ng, Maggie C Y A1 - Petty, Lauren E A1 - Kitajima, Hidetoshi A1 - Yu, Grace Z A1 - Rüeger, Sina A1 - Speidel, Leo A1 - Kim, Young Jin A1 - Horikoshi, Momoko A1 - Mercader, Josep M A1 - Taliun, Daniel A1 - Moon, Sanghoon A1 - Kwak, Soo-Heon A1 - Robertson, Neil R A1 - Rayner, Nigel W A1 - Loh, Marie A1 - Kim, Bong-Jo A1 - Chiou, Joshua A1 - Miguel-Escalada, Irene A1 - Della Briotta Parolo, Pietro A1 - Lin, Kuang A1 - Bragg, Fiona A1 - Preuss, Michael H A1 - Takeuchi, Fumihiko A1 - Nano, Jana A1 - Guo, Xiuqing A1 - Lamri, Amel A1 - Nakatochi, Masahiro A1 - Scott, Robert A A1 - Lee, Jung-Jin A1 - Huerta-Chagoya, Alicia A1 - Graff, Mariaelisa A1 - Chai, Jin-Fang A1 - Parra, Esteban J A1 - Yao, Jie A1 - Bielak, Lawrence F A1 - Tabara, Yasuharu A1 - Hai, Yang A1 - Steinthorsdottir, Valgerdur A1 - Cook, James P A1 - Kals, Mart A1 - Grarup, Niels A1 - Schmidt, Ellen M A1 - Pan, Ian A1 - Sofer, Tamar A1 - Wuttke, Matthias A1 - Sarnowski, Chloe A1 - Gieger, Christian A1 - Nousome, Darryl A1 - Trompet, Stella A1 - Long, Jirong A1 - Sun, Meng A1 - Tong, Lin A1 - Chen, Wei-Min A1 - Ahmad, Meraj A1 - Noordam, Raymond A1 - Lim, Victor J Y A1 - Tam, Claudia H T A1 - Joo, Yoonjung Yoonie A1 - Chen, Chien-Hsiun A1 - Raffield, Laura M A1 - Lecoeur, Cécile A1 - Prins, Bram Peter A1 - Nicolas, Aude A1 - Yanek, Lisa R A1 - Chen, Guanjie A1 - Jensen, Richard A A1 - Tajuddin, Salman A1 - Kabagambe, Edmond K A1 - An, Ping A1 - Xiang, Anny H A1 - Choi, Hyeok Sun A1 - Cade, Brian E A1 - Tan, Jingyi A1 - Flanagan, Jack A1 - Abaitua, Fernando A1 - Adair, Linda S A1 - Adeyemo, Adebowale A1 - Aguilar-Salinas, Carlos A A1 - Akiyama, Masato A1 - Anand, Sonia S A1 - Bertoni, Alain A1 - Bian, Zheng A1 - Bork-Jensen, Jette A1 - Brandslund, Ivan A1 - Brody, Jennifer A A1 - Brummett, Chad M A1 - Buchanan, Thomas A A1 - Canouil, Mickaël A1 - Chan, Juliana C N A1 - Chang, Li-Ching A1 - Chee, Miao-Li A1 - Chen, Ji A1 - Chen, Shyh-Huei A1 - Chen, Yuan-Tsong A1 - Chen, Zhengming A1 - Chuang, Lee-Ming A1 - Cushman, Mary A1 - Das, Swapan K A1 - de Silva, H Janaka A1 - Dedoussis, George A1 - Dimitrov, Latchezar A1 - Doumatey, Ayo P A1 - Du, Shufa A1 - Duan, Qing A1 - Eckardt, Kai-Uwe A1 - Emery, Leslie S A1 - Evans, Daniel S A1 - Evans, Michele K A1 - Fischer, Krista A1 - Floyd, James S A1 - Ford, Ian A1 - Fornage, Myriam A1 - Franco, Oscar H A1 - Frayling, Timothy M A1 - Freedman, Barry I A1 - Fuchsberger, Christian A1 - Genter, Pauline A1 - Gerstein, Hertzel C A1 - Giedraitis, Vilmantas A1 - González-Villalpando, Clicerio A1 - Gonzalez-Villalpando, Maria Elena A1 - Goodarzi, Mark O A1 - Gordon-Larsen, Penny A1 - Gorkin, David A1 - Gross, Myron A1 - Guo, Yu A1 - Hackinger, Sophie A1 - Han, Sohee A1 - Hattersley, Andrew T A1 - Herder, Christian A1 - Howard, Annie-Green A1 - Hsueh, Willa A1 - Huang, Mengna A1 - Huang, Wei A1 - Hung, Yi-Jen A1 - Hwang, Mi Yeong A1 - Hwu, Chii-Min A1 - Ichihara, Sahoko A1 - Ikram, Mohammad Arfan A1 - Ingelsson, Martin A1 - Islam, Md Tariqul A1 - Isono, Masato A1 - Jang, Hye-Mi A1 - Jasmine, Farzana A1 - Jiang, Guozhi A1 - Jonas, Jost B A1 - Jørgensen, Marit E A1 - Jørgensen, Torben A1 - Kamatani, Yoichiro A1 - Kandeel, Fouad R A1 - Kasturiratne, Anuradhani A1 - Katsuya, Tomohiro A1 - Kaur, Varinderpal A1 - Kawaguchi, Takahisa A1 - Keaton, Jacob M A1 - Kho, Abel N A1 - Khor, Chiea-Chuen A1 - Kibriya, Muhammad G A1 - Kim, Duk-Hwan A1 - Kohara, Katsuhiko A1 - Kriebel, Jennifer A1 - Kronenberg, Florian A1 - Kuusisto, Johanna A1 - Läll, Kristi A1 - Lange, Leslie A A1 - Lee, Myung-Shik A1 - Lee, Nanette R A1 - Leong, Aaron A1 - Li, Liming A1 - Li, Yun A1 - Li-Gao, Ruifang A1 - Ligthart, Symen A1 - Lindgren, Cecilia M A1 - Linneberg, Allan A1 - Liu, Ching-Ti A1 - Liu, Jianjun A1 - Locke, Adam E A1 - Louie, Tin A1 - Luan, Jian'an A1 - Luk, Andrea O A1 - Luo, Xi A1 - Lv, Jun A1 - Lyssenko, Valeriya A1 - Mamakou, Vasiliki A1 - Mani, K Radha A1 - Meitinger, Thomas A1 - 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Tuomilehto, Jaakko A1 - Tusié-Luna, Teresa A1 - Udler, Miriam S A1 - Valladares-Salgado, Adan A1 - van Dam, Rob M A1 - van Klinken, Jan B A1 - Varma, Rohit A1 - Vujkovic, Marijana A1 - Wacher-Rodarte, Niels A1 - Wheeler, Eleanor A1 - Whitsel, Eric A A1 - Wickremasinghe, Ananda R A1 - van Dijk, Ko Willems A1 - Witte, Daniel R A1 - Yajnik, Chittaranjan S A1 - Yamamoto, Ken A1 - Yamauchi, Toshimasa A1 - Yengo, Loic A1 - Yoon, Kyungheon A1 - Yu, Canqing A1 - Yuan, Jian-Min A1 - Yusuf, Salim A1 - Zhang, Liang A1 - Zheng, Wei A1 - Raffel, Leslie J A1 - Igase, Michiya A1 - Ipp, Eli A1 - Redline, Susan A1 - Cho, Yoon Shin A1 - Lind, Lars A1 - Province, Michael A A1 - Hanis, Craig L A1 - Peyser, Patricia A A1 - Ingelsson, Erik A1 - Zonderman, Alan B A1 - Psaty, Bruce M A1 - Wang, Ya-Xing A1 - Rotimi, Charles N A1 - Becker, Diane M A1 - Matsuda, Fumihiko A1 - Liu, Yongmei A1 - Zeggini, Eleftheria A1 - Yokota, Mitsuhiro A1 - Rich, Stephen S A1 - Kooperberg, Charles A1 - Pankow, James S A1 - Engert, James C A1 - Chen, Yii-Der Ida A1 - Froguel, Philippe A1 - Wilson, James G A1 - Sheu, Wayne H H A1 - Kardia, Sharon L R A1 - Wu, Jer-Yuarn A1 - Hayes, M Geoffrey A1 - Ma, Ronald C W A1 - Wong, Tien-Yin A1 - Groop, Leif A1 - Mook-Kanamori, Dennis O A1 - Chandak, Giriraj R A1 - Collins, Francis S A1 - Bharadwaj, Dwaipayan A1 - Paré, Guillaume A1 - Sale, Michèle M A1 - Ahsan, Habibul A1 - Motala, Ayesha A A1 - Shu, Xiao-Ou A1 - Park, Kyong-Soo A1 - Jukema, J Wouter A1 - Cruz, Miguel A1 - McKean-Cowdin, Roberta A1 - Grallert, Harald A1 - Cheng, Ching-Yu A1 - Bottinger, Erwin P A1 - Dehghan, Abbas A1 - Tai, E-Shyong A1 - Dupuis, Josée A1 - Kato, Norihiro A1 - Laakso, Markku A1 - Köttgen, Anna A1 - Koh, Woon-Puay A1 - Palmer, Colin N A A1 - Liu, Simin A1 - Abecasis, Goncalo A1 - Kooner, Jaspal S A1 - Loos, Ruth J F A1 - North, Kari E A1 - Haiman, Christopher A A1 - Florez, Jose C A1 - Saleheen, Danish A1 - Hansen, Torben A1 - Pedersen, Oluf A1 - Mägi, Reedik A1 - Langenberg, Claudia A1 - Wareham, Nicholas J A1 - Maeda, Shiro A1 - Kadowaki, Takashi A1 - Lee, Juyoung A1 - Millwood, Iona Y A1 - Walters, Robin G A1 - Stefansson, Kari A1 - Myers, Simon R A1 - Ferrer, Jorge A1 - Gaulton, Kyle J A1 - Meigs, James B A1 - Mohlke, Karen L A1 - Gloyn, Anna L A1 - Bowden, Donald W A1 - Below, Jennifer E A1 - Chambers, John C A1 - Sim, Xueling A1 - Boehnke, Michael A1 - Rotter, Jerome I A1 - McCarthy, Mark I A1 - Morris, Andrew P KW - Diabetes Mellitus, Type 2 KW - Ethnicity KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Polymorphism, Single Nucleotide KW - Risk Factors AB -

We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 × 10), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background.

VL - 54 IS - 5 ER - TY - JOUR T1 - A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood. JF - Nat Commun Y1 - 2022 A1 - Kurniansyah, Nuzulul A1 - Goodman, Matthew O A1 - Kelly, Tanika N A1 - Elfassy, Tali A1 - Wiggins, Kerri L A1 - Bis, Joshua C A1 - Guo, Xiuqing A1 - Palmas, Walter A1 - Taylor, Kent D A1 - Lin, Henry J A1 - Haessler, Jeffrey A1 - Gao, Yan A1 - Shimbo, Daichi A1 - Smith, Jennifer A A1 - Yu, Bing A1 - Feofanova, Elena V A1 - Smit, Roelof A J A1 - Wang, Zhe A1 - Hwang, Shih-Jen A1 - Liu, Simin A1 - Wassertheil-Smoller, Sylvia A1 - Manson, JoAnn E A1 - Lloyd-Jones, Donald M A1 - Rich, Stephen S A1 - Loos, Ruth J F A1 - Redline, Susan A1 - Correa, Adolfo A1 - Kooperberg, Charles A1 - Fornage, Myriam A1 - Kaplan, Robert C A1 - Psaty, Bruce M A1 - Rotter, Jerome I A1 - Arnett, Donna K A1 - Morrison, Alanna C A1 - Franceschini, Nora A1 - Levy, Daniel A1 - Sofer, Tamar KW - Adult KW - Diabetes Mellitus, Type 2 KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Hypertension KW - Multifactorial Inheritance KW - Prevalence KW - Risk Factors AB -

In a multi-stage analysis of 52,436 individuals aged 17-90 across diverse cohorts and biobanks, we train, test, and evaluate a polygenic risk score (PRS) for hypertension risk and progression. The PRS is trained using genome-wide association studies (GWAS) for systolic, diastolic blood pressure, and hypertension, respectively. For each trait, PRS is selected by optimizing the coefficient of variation (CV) across estimated effect sizes from multiple potential PRS using the same GWAS, after which the 3 trait-specific PRSs are combined via an unweighted sum called "PRSsum", forming the HTN-PRS. The HTN-PRS is associated with both prevalent and incident hypertension at 4-6 years of follow up. This association is further confirmed in age-stratified analysis. In an independent biobank of 40,201 individuals, the HTN-PRS is confirmed to be predictive of increased risk for coronary artery disease, ischemic stroke, type 2 diabetes, and chronic kidney disease.

VL - 13 IS - 1 ER - TY - JOUR T1 - Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations. JF - Commun Biol Y1 - 2022 A1 - Elgart, Michael A1 - Lyons, Genevieve A1 - Romero-Brufau, Santiago A1 - Kurniansyah, Nuzulul A1 - Brody, Jennifer A A1 - Guo, Xiuqing A1 - Lin, Henry J A1 - Raffield, Laura A1 - Gao, Yan A1 - Chen, Han A1 - de Vries, Paul A1 - Lloyd-Jones, Donald M A1 - Lange, Leslie A A1 - Peloso, Gina M A1 - Fornage, Myriam A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Morrison, Alanna C A1 - Psaty, Bruce M A1 - Levy, Daniel A1 - Redline, Susan A1 - Sofer, Tamar KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Machine Learning KW - Multifactorial Inheritance KW - Polymorphism, Single Nucleotide AB -

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

VL - 5 IS - 1 ER - TY - JOUR T1 - Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. JF - Am J Hum Genet Y1 - 2022 A1 - Hindy, George A1 - Dornbos, Peter A1 - Chaffin, Mark D A1 - Liu, Dajiang J A1 - Wang, Minxian A1 - Selvaraj, Margaret Sunitha A1 - Zhang, David A1 - Park, Joseph A1 - Aguilar-Salinas, Carlos A A1 - Antonacci-Fulton, Lucinda A1 - Ardissino, Diego A1 - Arnett, Donna K A1 - Aslibekyan, Stella A1 - Atzmon, Gil A1 - Ballantyne, Christie M A1 - Barajas-Olmos, Francisco A1 - Barzilai, Nir A1 - Becker, Lewis C A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bonnycastle, Lori L A1 - Bottinger, Erwin A1 - Bowden, Donald W A1 - Bown, Matthew J A1 - Brody, Jennifer A A1 - Broome, Jai G A1 - Burtt, Noel P A1 - Cade, Brian E A1 - Centeno-Cruz, Federico A1 - Chan, Edmund A1 - Chang, Yi-Cheng A1 - Chen, Yii-der I A1 - Cheng, Ching-Yu A1 - Choi, Won Jung A1 - Chowdhury, Rajiv A1 - Contreras-Cubas, Cecilia A1 - Córdova, Emilio J A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Curran, Joanne E A1 - Danesh, John A1 - de Vries, Paul S A1 - DeFronzo, Ralph A A1 - Doddapaneni, Harsha A1 - Duggirala, Ravindranath A1 - Dutcher, Susan K A1 - Ellinor, Patrick T A1 - Emery, Leslie S A1 - Florez, Jose C A1 - Fornage, Myriam A1 - Freedman, Barry I A1 - Fuster, Valentin A1 - Garay-Sevilla, Ma Eugenia A1 - García-Ortiz, Humberto A1 - Germer, Soren A1 - Gibbs, Richard A A1 - Gieger, Christian A1 - Glaser, Benjamin A1 - Gonzalez, Clicerio A1 - Gonzalez-Villalpando, Maria Elena A1 - Graff, Mariaelisa A1 - Graham, Sarah E A1 - Grarup, Niels A1 - Groop, Leif C A1 - Guo, Xiuqing A1 - Gupta, Namrata A1 - Han, Sohee A1 - Hanis, Craig L A1 - Hansen, Torben A1 - He, Jiang A1 - Heard-Costa, Nancy L A1 - Hung, Yi-Jen A1 - Hwang, Mi Yeong A1 - Irvin, Marguerite R A1 - Islas-Andrade, Sergio A1 - Jarvik, Gail P A1 - Kang, Hyun Min A1 - Kardia, Sharon L R A1 - Kelly, Tanika A1 - Kenny, Eimear E A1 - Khan, Alyna T A1 - Kim, Bong-Jo A1 - Kim, Ryan W A1 - Kim, Young Jin A1 - Koistinen, Heikki A A1 - Kooperberg, Charles A1 - Kuusisto, Johanna A1 - Kwak, Soo Heon A1 - Laakso, Markku A1 - Lange, Leslie A A1 - Lee, Jiwon A1 - Lee, Juyoung A1 - Lee, Seonwook A1 - Lehman, Donna M A1 - Lemaitre, Rozenn N A1 - Linneberg, Allan A1 - Liu, Jianjun A1 - Loos, Ruth J F A1 - Lubitz, Steven A A1 - Lyssenko, Valeriya A1 - Ma, Ronald C W A1 - Martin, Lisa Warsinger A1 - Martínez-Hernández, Angélica A1 - Mathias, Rasika A A1 - McGarvey, Stephen T A1 - McPherson, Ruth A1 - Meigs, James B A1 - Meitinger, Thomas A1 - Melander, Olle A1 - Mendoza-Caamal, Elvia A1 - Metcalf, Ginger A A1 - Mi, Xuenan A1 - Mohlke, Karen L A1 - Montasser, May E A1 - Moon, Jee-Young A1 - Moreno-Macias, Hortensia A1 - Morrison, Alanna C A1 - Muzny, Donna M A1 - Nelson, Sarah C A1 - Nilsson, Peter M A1 - O'Connell, Jeffrey R A1 - Orho-Melander, Marju A1 - Orozco, Lorena A1 - Palmer, Colin N A A1 - Palmer, Nicholette D A1 - Park, Cheol Joo A1 - Park, Kyong Soo A1 - Pedersen, Oluf A1 - Peralta, Juan M A1 - Peyser, Patricia A A1 - Post, Wendy S A1 - Preuss, Michael A1 - Psaty, Bruce M A1 - Qi, Qibin A1 - Rao, D C A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Revilla-Monsalve, Cristina A1 - Rich, Stephen S A1 - Samani, Nilesh A1 - Schunkert, Heribert A1 - Schurmann, Claudia A1 - Seo, Daekwan A1 - Seo, Jeong-Sun A1 - Sim, Xueling A1 - Sladek, Rob A1 - Small, Kerrin S A1 - So, Wing Yee A1 - Stilp, Adrienne M A1 - Tai, E Shyong A1 - Tam, Claudia H T A1 - Taylor, Kent D A1 - Teo, Yik Ying A1 - Thameem, Farook A1 - Tomlinson, Brian A1 - Tsai, Michael Y A1 - Tuomi, Tiinamaija A1 - Tuomilehto, Jaakko A1 - Tusié-Luna, Teresa A1 - Udler, Miriam S A1 - van Dam, Rob M A1 - Vasan, Ramachandran S A1 - Viaud Martinez, Karine A A1 - Wang, Fei Fei A1 - Wang, Xuzhi A1 - Watkins, Hugh A1 - Weeks, Daniel E A1 - Wilson, James G A1 - Witte, Daniel R A1 - Wong, Tien-Yin A1 - Yanek, Lisa R A1 - Kathiresan, Sekar A1 - Rader, Daniel J A1 - Rotter, Jerome I A1 - Boehnke, Michael A1 - McCarthy, Mark I A1 - Willer, Cristen J A1 - Natarajan, Pradeep A1 - Flannick, Jason A A1 - Khera, Amit V A1 - Peloso, Gina M KW - Alleles KW - Blood Glucose KW - Case-Control Studies KW - Computational Biology KW - Databases, Genetic KW - Diabetes Mellitus, Type 2 KW - Exome KW - Genetic Predisposition to Disease KW - Genetic Variation KW - Genetics, Population KW - Genome-Wide Association Study KW - Humans KW - Lipid Metabolism KW - Lipids KW - Liver KW - Molecular Sequence Annotation KW - Multifactorial Inheritance KW - Open Reading Frames KW - Phenotype KW - Polymorphism, Single Nucleotide AB -

Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.

VL - 109 IS - 1 ER - TY - JOUR T1 - Targeted Genome Sequencing Identifies Multiple Rare Variants in Caveolin-1 Associated with Obstructive Sleep Apnea. JF - Am J Respir Crit Care Med Y1 - 2022 A1 - Liang, Jingjing A1 - Wang, Heming A1 - Cade, Brian E A1 - Kurniansyah, Nuzulul A1 - He, Karen Y A1 - Lee, Jiwon A1 - Sands, Scott A A1 - Brody, Jennifer A1 - Chen, Han A1 - Gottlieb, Daniel J A1 - Evans, Daniel S A1 - Guo, Xiuqing A1 - Gharib, Sina A A1 - Hale, Lauren A1 - Hillman, David R A1 - Lutsey, Pamela L A1 - Mukherjee, Sutapa A1 - Ochs-Balcom, Heather M A1 - Palmer, Lyle J A1 - Purcell, Shaun A1 - Saxena, Richa A1 - Patel, Sanjay R A1 - Stone, Katie L A1 - Tranah, Gregory J A1 - Boerwinkle, Eric A1 - Lin, Xihong A1 - Liu, Yongmei A1 - Psaty, Bruce M A1 - Vasan, Ramachandran S A1 - Manichaikul, Ani A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Sofer, Tamar A1 - Redline, Susan A1 - Zhu, Xiaofeng AB -

INTRODUCTION: Obstructive sleep apnea (OSA) is a common disorder associated with increased risk for cardiovascular disease, diabetes, and premature mortality. There is strong clinical and epi-demiologic evidence supporting the importance of genetic factors influencing OSA, but limited data implicating specific genes.

METHODS: Leveraging high depth genomic sequencing data from the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program and imputed genotype data from multiple population-based studies, we performed linkage analysis in the Cleve-land Family Study (CFS) followed by multi-stage gene-based association analyses in independent cohorts to search for rare variants contributing to OSA severity as assessed by the apnea-hypopnea index (AHI) in a total of 7,708 individuals of European ancestry.

RESULTS: Linkage analysis in CFS identified a suggestive linkage peak on chromosome 7q31 (LOD=2.31). Gene-based analysis identified 21 non-coding rare variants in Caveolin-1 (CAV1) associated with lower AHI after accounting for multiple comparisons (p=7.4×10-8). These non-coding variants together significantly contributed to the linkage evidence (p<10-3). Follow-up anal-ysis revealed significant associations between these variants and increased CAV1 expression, and increased CAV1 expression in peripheral monocytes was associated with lower AHI (p=0.024) and higher minimum overnight oxygen saturation (p=0.007).

CONCLUSION: Rare variants in CAV1, a membrane scaffolding protein essential in multiple cellular and metabolic functions, are associated with higher CAV1 gene expression and lower OSA severity, suggesting a novel target for modulating OSA severity.

ER - TY - JOUR T1 - The Value of Rare Genetic Variation in the Prediction of Common Obesity in European Ancestry Populations. JF - Front Endocrinol (Lausanne) Y1 - 2022 A1 - Wang, Zhe A1 - Choi, Shing Wan A1 - Chami, Nathalie A1 - Boerwinkle, Eric A1 - Fornage, Myriam A1 - Redline, Susan A1 - Bis, Joshua C A1 - Brody, Jennifer A A1 - Psaty, Bruce M A1 - Kim, Wonji A1 - McDonald, Merry-Lynn N A1 - Regan, Elizabeth A A1 - Silverman, Edwin K A1 - Liu, Ching-Ti A1 - Vasan, Ramachandran S A1 - Kalyani, Rita R A1 - Mathias, Rasika A A1 - Yanek, Lisa R A1 - Arnett, Donna K A1 - Justice, Anne E A1 - North, Kari E A1 - Kaplan, Robert A1 - Heckbert, Susan R A1 - de Andrade, Mariza A1 - Guo, Xiuqing A1 - Lange, Leslie A A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Ellinor, Patrick T A1 - Lubitz, Steven A A1 - Blangero, John A1 - Shoemaker, M Benjamin A1 - Darbar, Dawood A1 - Gladwin, Mark T A1 - Albert, Christine M A1 - Chasman, Daniel I A1 - Jackson, Rebecca D A1 - Kooperberg, Charles A1 - Reiner, Alexander P A1 - O'Reilly, Paul F A1 - Loos, Ruth J F KW - Gene Frequency KW - Genetic Variation KW - Genome-Wide Association Study KW - Humans KW - Obesity KW - Whole Genome Sequencing AB -

Polygenic risk scores (PRSs) aggregate the effects of genetic variants across the genome and are used to predict risk of complex diseases, such as obesity. Current PRSs only include common variants (minor allele frequency (MAF) ≥1%), whereas the contribution of rare variants in PRSs to predict disease remains unknown. Here, we examine whether augmenting the standard common variant PRS (PRS) with a rare variant PRS (PRS) improves prediction of obesity. We used genome-wide genotyped and imputed data on 451,145 European-ancestry participants of the UK Biobank, as well as whole exome sequencing (WES) data on 184,385 participants. We performed single variant analyses (for both common and rare variants) and gene-based analyses (for rare variants) for association with BMI (kg/m), obesity (BMI ≥ 30 kg/m), and extreme obesity (BMI ≥ 40 kg/m). We built PRSs and PRSs using a range of methods (Clumping+Thresholding [C+T], PRS-CS, lassosum, gene-burden test). We selected the best-performing PRSs and assessed their performance in 36,757 European-ancestry unrelated participants with whole genome sequencing (WGS) data from the Trans-Omics for Precision Medicine (TOPMed) program. The best-performing PRS explained 10.1% of variation in BMI, and 18.3% and 22.5% of the susceptibility to obesity and extreme obesity, respectively, whereas the best-performing PRS explained 1.49%, and 2.97% and 3.68%, respectively. The PRS was associated with an increased risk of obesity and extreme obesity (OR = 1.37 per SD, = 1.7x10; OR = 1.55 per SD, = 3.8x10), which was attenuated, after adjusting for PRS (OR = 1.08 per SD, = 9.8x10; OR= 1.09 per SD, = 0.02). When PRS and PRS are combined, the increase in explained variance attributed to PRS was small (incremental Nagelkerke R = 0.24% for obesity and 0.51% for extreme obesity). Consistently, combining PRS to PRS provided little improvement to the prediction of obesity (PRS AUC = 0.591; PRS AUC = 0.708; PRS AUC = 0.710). In summary, while rare variants show convincing association with BMI, obesity and extreme obesity, the PRS provides limited improvement over PRS in the prediction of obesity risk, based on these large populations.

VL - 13 ER - TY - JOUR T1 - Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program. JF - Commun Biol Y1 - 2022 A1 - DiCorpo, Daniel A1 - Gaynor, Sheila M A1 - Russell, Emily M A1 - Westerman, Kenneth E A1 - Raffield, Laura M A1 - Majarian, Timothy D A1 - Wu, Peitao A1 - Sarnowski, Chloe A1 - Highland, Heather M A1 - Jackson, Anne A1 - Hasbani, Natalie R A1 - de Vries, Paul S A1 - Brody, Jennifer A A1 - Hidalgo, Bertha A1 - Guo, Xiuqing A1 - Perry, James A A1 - O'Connell, Jeffrey R A1 - Lent, Samantha A1 - Montasser, May E A1 - Cade, Brian E A1 - Jain, Deepti A1 - Wang, Heming A1 - D'Oliveira Albanus, Ricardo A1 - Varshney, Arushi A1 - Yanek, Lisa R A1 - Lange, Leslie A1 - Palmer, Nicholette D A1 - Almeida, Marcio A1 - Peralta, Juan M A1 - Aslibekyan, Stella A1 - Baldridge, Abigail S A1 - Bertoni, Alain G A1 - Bielak, Lawrence F A1 - Chen, Chung-Shiuan A1 - Chen, Yii-Der Ida A1 - Choi, Won Jung A1 - Goodarzi, Mark O A1 - Floyd, James S A1 - Irvin, Marguerite R A1 - Kalyani, Rita R A1 - Kelly, Tanika N A1 - Lee, Seonwook A1 - Liu, Ching-Ti A1 - Loesch, Douglas A1 - Manson, JoAnn E A1 - Minster, Ryan L A1 - Naseri, Take A1 - Pankow, James S A1 - Rasmussen-Torvik, Laura J A1 - Reiner, Alexander P A1 - Reupena, Muagututi'a Sefuiva A1 - Selvin, Elizabeth A1 - Smith, Jennifer A A1 - Weeks, Daniel E A1 - Xu, Huichun A1 - Yao, Jie A1 - Zhao, Wei A1 - Parker, Stephen A1 - Alonso, Alvaro A1 - Arnett, Donna K A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Curran, Joanne E A1 - Duggirala, Ravindranath A1 - He, Jiang A1 - Heckbert, Susan R A1 - Kardia, Sharon L R A1 - Kim, Ryan W A1 - Kooperberg, Charles A1 - Liu, Simin A1 - Mathias, Rasika A A1 - McGarvey, Stephen T A1 - Mitchell, Braxton D A1 - Morrison, Alanna C A1 - Peyser, Patricia A A1 - Psaty, Bruce M A1 - Redline, Susan A1 - Shuldiner, Alan R A1 - Taylor, Kent D A1 - Vasan, Ramachandran S A1 - Viaud-Martinez, Karine A A1 - Florez, Jose C A1 - Wilson, James G A1 - Sladek, Robert A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Lin, Xihong A1 - Dupuis, Josée A1 - Meigs, James B A1 - Wessel, Jennifer A1 - Manning, Alisa K KW - Diabetes Mellitus, Type 2 KW - Fasting KW - Glucose KW - Humans KW - Insulin KW - National Heart, Lung, and Blood Institute (U.S.) KW - Nerve Tissue Proteins KW - Polymorphism, Single Nucleotide KW - Precision Medicine KW - Receptors, Immunologic KW - United States AB -

The genetic determinants of fasting glucose (FG) and fasting insulin (FI) have been studied mostly through genome arrays, resulting in over 100 associated variants. We extended this work with high-coverage whole genome sequencing analyses from fifteen cohorts in NHLBI's Trans-Omics for Precision Medicine (TOPMed) program. Over 23,000 non-diabetic individuals from five race-ethnicities/populations (African, Asian, European, Hispanic and Samoan) were included. Eight variants were significantly associated with FG or FI across previously identified regions MTNR1B, G6PC2, GCK, GCKR and FOXA2. We additionally characterize suggestive associations with FG or FI near previously identified SLC30A8, TCF7L2, and ADCY5 regions as well as APOB, PTPRT, and ROBO1. Functional annotation resources including the Diabetes Epigenome Atlas were compiled for each signal (chromatin states, annotation principal components, and others) to elucidate variant-to-function hypotheses. We provide a catalog of nucleotide-resolution genomic variation spanning intergenic and intronic regions creating a foundation for future sequencing-based investigations of glycemic traits.

VL - 5 IS - 1 ER - TY - JOUR T1 - Whole-Exome Sequencing Study Identifies Four Novel Gene Loci Associated with Diabetic Kidney Disease. JF - Hum Mol Genet Y1 - 2022 A1 - Pan, Yang A1 - Sun, Xiao A1 - Mi, Xuenan A1 - Huang, Zhijie A1 - Hsu, Yenchih A1 - Hixson, James E A1 - Munzy, Donna A1 - Metcalf, Ginger A1 - Franceschini, Nora A1 - Tin, Adrienne A1 - Köttgen, Anna A1 - Francis, Michael A1 - Brody, Jennifer A A1 - Kestenbaum, Bryan A1 - Sitlani, Colleen M A1 - Mychaleckyj, Josyf C A1 - Kramer, Holly A1 - Lange, Leslie A A1 - Guo, Xiuqing A1 - Hwang, Shih-Jen A1 - Irvin, Marguerite R A1 - Smith, Jennifer A A1 - Yanek, Lisa R A1 - Vaidya, Dhananjay A1 - Chen, Yii-Der Ida A1 - Fornage, Myriam A1 - Lloyd-Jones, Donald M A1 - Hou, Lifang A1 - Mathias, Rasika A A1 - Mitchell, Braxton D A1 - Peyser, Patricia A A1 - Kardia, Sharon L R A1 - Arnett, Donna K A1 - Correa, Adolfo A1 - Raffield, Laura M A1 - Vasan, Ramachandran S A1 - Cupple, L Adrienne A1 - Levy, Daniel A1 - Kaplan, Robert C A1 - North, Kari E A1 - Rotter, Jerome I A1 - Kooperberg, Charles A1 - Reiner, Alexander P A1 - Psaty, Bruce M A1 - Tracy, Russell P A1 - Gibbs, Richard A A1 - Morrison, Alanna C A1 - Feldman, Harold A1 - Boerwinkle, Eric A1 - He, Jiang A1 - Kelly, Tanika N AB -

Diabetic kidney disease (DKD) is recognized as an important public health challenge. However, its genomic mechanisms are poorly understood. To identify rare variants for DKD, we conducted a whole-exome sequencing (WES) study leveraging large cohorts well-phenotyped for chronic kidney disease (CKD) and diabetes. Our two-stage whole-exome sequencing study included 4372 European and African ancestry participants from the Chronic Renal Insufficiency Cohort (CRIC) and Atherosclerosis Risk in Communities (ARIC) studies (stage-1) and 11 487 multi-ancestry Trans-Omics for Precision Medicine (TOPMed) participants (stage-2). Generalized linear mixed models, which accounted for genetic relatedness and adjusted for age, sex, and ancestry, were used to test associations between single variants and DKD. Gene-based aggregate rare variant analyses were conducted using an optimized sequence kernel association test (SKAT-O) implemented within our mixed model framework. We identified four novel exome-wide significant DKD-related loci through initiating diabetes. In single variant analyses, participants carrying a rare, in-frame insertion in the DIS3L2 gene (rs141560952) exhibited a 193-fold increased odds (95% confidence interval: 33.6, 1105) of DKD compared with non-carriers (P = 3.59 × 10-9). Likewise, each copy of a low-frequency KRT6B splice-site variant (rs425827) conferred a 5.31-fold higher odds (95% confidence interval: 3.06, 9.21) of DKD (P = 2.72 × 10-9). Aggregate gene-based analyses further identified ERAP2 (P = 4.03 × 10-8) and NPEPPS (P = 1.51 × 10-7), which are both expressed in the kidney and implicated in renin-angiotensin-aldosterone system modulated immune response. In the largest WES study of DKD, we identified novel rare variant loci attaining exome-wide significance. These findings provide new insights into the molecular mechanisms underlying DKD.

ER - TY - JOUR T1 - Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis. JF - Nature Y1 - 2023 A1 - Weinstock, Joshua S A1 - Gopakumar, Jayakrishnan A1 - Burugula, Bala Bharathi A1 - Uddin, Md Mesbah A1 - Jahn, Nikolaus A1 - Belk, Julia A A1 - Bouzid, Hind A1 - Daniel, Bence A1 - Miao, Zhuang A1 - Ly, Nghi A1 - Mack, Taralynn M A1 - Luna, Sofia E A1 - Prothro, Katherine P A1 - Mitchell, Shaneice R A1 - Laurie, Cecelia A A1 - Broome, Jai G A1 - Taylor, Kent D A1 - Guo, Xiuqing A1 - Sinner, Moritz F A1 - von Falkenhausen, Aenne S A1 - Kääb, Stefan A1 - Shuldiner, Alan R A1 - O'Connell, Jeffrey R A1 - Lewis, Joshua P A1 - Boerwinkle, Eric A1 - Barnes, Kathleen C A1 - Chami, Nathalie A1 - Kenny, Eimear E A1 - Loos, Ruth J F A1 - Fornage, Myriam A1 - Hou, Lifang A1 - Lloyd-Jones, Donald M A1 - Redline, Susan A1 - Cade, Brian E A1 - Psaty, Bruce M A1 - Bis, Joshua C A1 - Brody, Jennifer A A1 - Silverman, Edwin K A1 - Yun, Jeong H A1 - Qiao, Dandi A1 - Palmer, Nicholette D A1 - Freedman, Barry I A1 - Bowden, Donald W A1 - Cho, Michael H A1 - DeMeo, Dawn L A1 - Vasan, Ramachandran S A1 - Yanek, Lisa R A1 - Becker, Lewis C A1 - Kardia, Sharon L R A1 - Peyser, Patricia A A1 - He, Jiang A1 - Rienstra, Michiel A1 - van der Harst, Pim A1 - Kaplan, Robert A1 - Heckbert, Susan R A1 - Smith, Nicholas L A1 - Wiggins, Kerri L A1 - Arnett, Donna K A1 - Irvin, Marguerite R A1 - Tiwari, Hemant A1 - Cutler, Michael J A1 - Knight, Stacey A1 - Muhlestein, J Brent A1 - Correa, Adolfo A1 - Raffield, Laura M A1 - Gao, Yan A1 - de Andrade, Mariza A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Tracy, Russell P A1 - Konkle, Barbara A A1 - Johnsen, Jill M A1 - Wheeler, Marsha M A1 - Smith, J Gustav A1 - Melander, Olle A1 - Nilsson, Peter M A1 - Custer, Brian S A1 - Duggirala, Ravindranath A1 - Curran, Joanne E A1 - Blangero, John A1 - McGarvey, Stephen A1 - Williams, L Keoki A1 - Xiao, Shujie A1 - Yang, Mao A1 - Gu, C Charles A1 - Chen, Yii-Der Ida A1 - Lee, Wen-Jane A1 - Marcus, Gregory M A1 - Kane, John P A1 - Pullinger, Clive R A1 - Shoemaker, M Benjamin A1 - Darbar, Dawood A1 - Roden, Dan M A1 - Albert, Christine A1 - Kooperberg, Charles A1 - Zhou, Ying A1 - Manson, JoAnn E A1 - Desai, Pinkal A1 - Johnson, Andrew D A1 - Mathias, Rasika A A1 - Blackwell, Thomas W A1 - Abecasis, Goncalo R A1 - Smith, Albert V A1 - Kang, Hyun M A1 - Satpathy, Ansuman T A1 - Natarajan, Pradeep A1 - Kitzman, Jacob O A1 - Whitsel, Eric A A1 - Reiner, Alexander P A1 - Bick, Alexander G A1 - Jaiswal, Siddhartha KW - Alleles KW - Animals KW - Clonal Hematopoiesis KW - Genome-Wide Association Study KW - Hematopoiesis KW - Hematopoietic Stem Cells KW - Humans KW - Mice KW - Mutation KW - Promoter Regions, Genetic AB -

Mutations in a diverse set of driver genes increase the fitness of haematopoietic stem cells (HSCs), leading to clonal haematopoiesis. These lesions are precursors for blood cancers, but the basis of their fitness advantage remains largely unknown, partly owing to a paucity of large cohorts in which the clonal expansion rate has been assessed by longitudinal sampling. Here, to circumvent this limitation, we developed a method to infer the expansion rate from data from a single time point. We applied this method to 5,071 people with clonal haematopoiesis. A genome-wide association study revealed that a common inherited polymorphism in the TCL1A promoter was associated with a slower expansion rate in clonal haematopoiesis overall, but the effect varied by driver gene. Those carrying this protective allele exhibited markedly reduced growth rates or prevalence of clones with driver mutations in TET2, ASXL1, SF3B1 and SRSF2, but this effect was not seen in clones with driver mutations in DNMT3A. TCL1A was not expressed in normal or DNMT3A-mutated HSCs, but the introduction of mutations in TET2 or ASXL1 led to the expression of TCL1A protein and the expansion of HSCs in vitro. The protective allele restricted TCL1A expression and expansion of mutant HSCs, as did experimental knockdown of TCL1A expression. Forced expression of TCL1A promoted the expansion of human HSCs in vitro and mouse HSCs in vivo. Our results indicate that the fitness advantage of several commonly mutated driver genes in clonal haematopoiesis may be mediated by TCL1A activation.

VL - 616 IS - 7958 ER - TY - JOUR T1 - Association Between Whole Blood-Derived Mitochondrial DNA Copy Number, Low-Density Lipoprotein Cholesterol, and Cardiovascular Disease Risk. JF - J Am Heart Assoc Y1 - 2023 A1 - Liu, Xue A1 - Sun, Xianbang A1 - Zhang, Yuankai A1 - Jiang, Wenqing A1 - Lai, Meng A1 - Wiggins, Kerri L A1 - Raffield, Laura M A1 - Bielak, Lawrence F A1 - Zhao, Wei A1 - Pitsillides, Achilleas A1 - Haessler, Jeffrey A1 - Zheng, Yinan A1 - Blackwell, Thomas W A1 - Yao, Jie A1 - Guo, Xiuqing A1 - Qian, Yong A1 - Thyagarajan, Bharat A1 - Pankratz, Nathan A1 - Rich, Stephen S A1 - Taylor, Kent D A1 - Peyser, Patricia A A1 - Heckbert, Susan R A1 - Seshadri, Sudha A1 - Boerwinkle, Eric A1 - Grove, Megan L A1 - Larson, Nicholas B A1 - Smith, Jennifer A A1 - Vasan, Ramachandran S A1 - Fitzpatrick, Annette L A1 - Fornage, Myriam A1 - Ding, Jun A1 - Carson, April P A1 - Abecasis, Goncalo A1 - Dupuis, Josée A1 - Reiner, Alexander A1 - Kooperberg, Charles A1 - Hou, Lifang A1 - Psaty, Bruce M A1 - Wilson, James G A1 - Levy, Daniel A1 - Rotter, Jerome I A1 - Bis, Joshua C A1 - Satizabal, Claudia L A1 - Arking, Dan E A1 - Liu, Chunyu AB -

Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods and Results We performed cross-sectional and prospective association analyses of blood-derived mtDNA CN and cardiovascular disease outcomes in 27 316 participants in 8 cohorts of multiple racial and ethnic groups with whole-genome sequencing. We also performed Mendelian randomization to explore causal relationships of mtDNA CN with coronary heart disease (CHD) and cardiometabolic risk factors (obesity, diabetes, hypertension, and hyperlipidemia). <0.01 was used for significance. We validated most of the previously reported associations between mtDNA CN and cardiovascular disease outcomes. For example, 1-SD unit lower level of mtDNA CN was associated with 1.08 (95% CI, 1.04-1.12; <0.001) times the hazard for developing incident CHD, adjusting for covariates. Mendelian randomization analyses showed no causal effect from a lower level of mtDNA CN to a higher CHD risk (β=0.091; =0.11) or in the reverse direction (β=-0.012; =0.076). Additional bidirectional Mendelian randomization analyses revealed that low-density lipoprotein cholesterol had a causal effect on mtDNA CN (β=-0.084; <0.001), but the reverse direction was not significant (=0.059). No causal associations were observed between mtDNA CN and obesity, diabetes, and hypertension, in either direction. Multivariable Mendelian randomization analyses showed no causal effect of CHD on mtDNA CN, controlling for low-density lipoprotein cholesterol level (=0.52), whereas there was a strong direct causal effect of higher low-density lipoprotein cholesterol on lower mtDNA CN, adjusting for CHD status (β=-0.092; <0.001). Conclusions Our findings indicate that high low-density lipoprotein cholesterol may underlie the complex relationships between mtDNA CN and vascular atherosclerosis.

ER - TY - JOUR T1 - Association of Mitochondrial DNA Copy Number With Brain MRI Markers and Cognitive Function: A Meta-analysis of Community-Based Cohorts. JF - Neurology Y1 - 2023 A1 - Zhang, Yuankai A1 - Liu, Xue A1 - Wiggins, Kerri L A1 - Kurniansyah, Nuzulul A1 - Guo, Xiuqing A1 - Rodrigue, Amanda L A1 - Zhao, Wei A1 - Yanek, Lisa R A1 - Ratliff, Scott M A1 - Pitsillides, Achilleas A1 - Aguirre Patiño, Juan Sebastian A1 - Sofer, Tamar A1 - Arking, Dan E A1 - Austin, Thomas R A1 - Beiser, Alexa S A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bressler, Jan A1 - Curran, Joanne E A1 - Hou, Lifang A1 - Hughes, Timothy M A1 - Kardia, Sharon L A1 - Launer, Lenore A1 - Levy, Daniel A1 - Mosley, Tom H A1 - Nasrallah, Ilya M A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Seshadri, Sudha A1 - Tarraf, Wassim A1 - González, Kevin A A1 - Ramachandran, Vasan A1 - Yaffe, Kristine A1 - Nyquist, Paul A A1 - Psaty, Bruce M A1 - DeCarli, Charles S A1 - Smith, Jennifer A A1 - Glahn, David C A1 - González, Hector M A1 - Bis, Joshua C A1 - Fornage, Myriam A1 - Heckbert, Susan R A1 - Fitzpatrick, Annette L A1 - Liu, Chunyu A1 - Satizabal, Claudia L AB -

BACKGROUND AND OBJECTIVES: Previous studies suggest lower mitochondrial DNA (mtDNA) copy number (CN) is associated with neurodegenerative diseases. However, whether mtDNA CN in whole blood is related to endophenotypes of Alzheimer's disease (AD) and AD related dementia (AD/ADRD) needs further investigation. We assessed the association of mtDNA CN with cognitive function and MRI measures in community-based samples of middle-aged to older adults.

METHODS: We included dementia-free participants from nine diverse community-based cohorts with whole-genome sequencing in the Trans-Omics for Precision Medicine (TOPMed) program. Circulating mtDNA CN was estimated as twice the ratio of the average coverage of mtDNA to nuclear DNA. Brain MRI markers included total brain, hippocampal, and white matter hyperintensity volumes. General cognitive function was derived from distinct cognitive domains. We performed cohort-specific association analyses of mtDNA CN with AD/ADRD endophenotypes assessed within ±5 years (i.e., cross-sectional analyses) or 5 to 20 years after blood draw (i.e., prospective analyses) adjusting for potential confounders. We further explored associations stratified by sex and age (<60 vs. ≥60 years). Fixed-effects or sample size-weighted meta-analyses were performed to combine results. Finally, we performed Mendelian randomization (MR) analyses to assess causality.

RESULTS: We included up to 19,152 participants (mean age 59 years, 57% women). Higher mtDNA CN was cross-sectionally associated with better general cognitive function (Beta=0.04; 95% CI 0.02, 0.06) independent of age, sex, batch effects, race/ethnicity, time between blood draw and cognitive evaluation, cohort-specific variables, and education. Additional adjustment for blood cell counts or cardiometabolic traits led to slightly attenuated results. We observed similar significant associations with cognition in prospective analyses, although of reduced magnitude. We found no significant associations between mtDNA CN and brain MRI measures in meta-analyses. MR analyses did not reveal a causal relation between mtDNA CN in blood and cognition.

DISCUSSION: Higher mtDNA CN in blood is associated with better current and future general cognitive function in large and diverse communities across the US. Although MR analyses did not support a causal role, additional research is needed to assess causality. Circulating mtDNA CN could serve nevertheless as a biomarker of current and future cognitive function in the community.

ER - TY - JOUR T1 - Association of Rare Protein-Truncating DNA Variants in APOB or PCSK9 With Low-density Lipoprotein Cholesterol Level and Risk of Coronary Heart Disease. JF - JAMA Cardiol Y1 - 2023 A1 - Dron, Jacqueline S A1 - Patel, Aniruddh P A1 - Zhang, Yiyi A1 - Jurgens, Sean J A1 - Maamari, Dimitri J A1 - Wang, Minxian A1 - Boerwinkle, Eric A1 - Morrison, Alanna C A1 - de Vries, Paul S A1 - Fornage, Myriam A1 - Hou, Lifang A1 - Lloyd-Jones, Donald M A1 - Psaty, Bruce M A1 - Tracy, Russell P A1 - Bis, Joshua C A1 - Vasan, Ramachandran S A1 - Levy, Daniel A1 - Heard-Costa, Nancy A1 - Rich, Stephen S A1 - Guo, Xiuqing A1 - Taylor, Kent D A1 - Gibbs, Richard A A1 - Rotter, Jerome I A1 - Willer, Cristen J A1 - Oelsner, Elizabeth C A1 - Moran, Andrew E A1 - Peloso, Gina M A1 - Natarajan, Pradeep A1 - Khera, Amit V AB -

IMPORTANCE: Protein-truncating variants (PTVs) in apolipoprotein B (APOB) and proprotein convertase subtilisin/kexin type 9 (PCSK9) are associated with significantly lower low-density lipoprotein (LDL) cholesterol concentrations. The association of these PTVs with coronary heart disease (CHD) warrants further characterization in large, multiracial prospective cohort studies.

OBJECTIVE: To evaluate the association of PTVs in APOB and PCSK9 with LDL cholesterol concentrations and CHD risk.

DESIGN, SETTING, AND PARTICIPANTS: This studied included participants from 5 National Heart, Lung, and Blood Institute (NHLBI) studies and the UK Biobank. NHLBI study participants aged 5 to 84 years were recruited between 1971 and 2002 across the US and underwent whole-genome sequencing. UK Biobank participants aged 40 to 69 years were recruited between 2006 and 2010 in the UK and underwent whole-exome sequencing. Data were analyzed from June 2021 to October 2022.

EXPOSURES: PTVs in APOB and PCSK9.

MAIN OUTCOMES AND MEASURES: Estimated untreated LDL cholesterol levels and CHD.

RESULTS: Among 19 073 NHLBI participants (10 598 [55.6%] female; mean [SD] age, 52 [17] years), 139 (0.7%) carried an APOB or PCSK9 PTV, which was associated with 49 mg/dL (95% CI, 43-56) lower estimated untreated LDL cholesterol level. Over a median (IQR) follow-up of 21.5 (13.9-29.4) years, incident CHD was observed in 12 of 139 carriers (8.6%) vs 3029 of 18 934 noncarriers (16.0%), corresponding to an adjusted hazard ratio of 0.51 (95% CI, 0.28-0.89; P = .02). Among 190 464 UK Biobank participants (104 831 [55.0%] female; mean [SD] age, 57 [8] years), 662 (0.4%) carried a PTV, which was associated with 45 mg/dL (95% CI, 42-47) lower estimated untreated LDL cholesterol level. Estimated CHD risk by age 75 years was 3.7% (95% CI, 2.0-5.3) in carriers vs 7.0% (95% CI, 6.9-7.2) in noncarriers, corresponding to an adjusted hazard ratio of 0.51 (95% CI, 0.32-0.81; P = .004).

CONCLUSIONS AND RELEVANCE: Among 209 537 individuals in this study, 0.4% carried an APOB or PCSK9 PTV that was associated with less exposure to LDL cholesterol and a 49% lower risk of CHD.

ER - TY - JOUR T1 - Association of Severe Hypercholesterolemia and Familial Hypercholesterolemia Genotype With Risk of Coronary Heart Disease. JF - Circulation Y1 - 2023 A1 - Zhang, Yiyi A1 - Dron, Jacqueline S A1 - Bellows, Brandon K A1 - Khera, Amit V A1 - Liu, Junxiu A1 - Balte, Pallavi P A1 - Oelsner, Elizabeth C A1 - Amr, Sami Samir A1 - Lebo, Matthew S A1 - Nagy, Anna A1 - Peloso, Gina M A1 - Natarajan, Pradeep A1 - Rotter, Jerome I A1 - Willer, Cristen A1 - Boerwinkle, Eric A1 - Ballantyne, Christie M A1 - Lutsey, Pamela L A1 - Fornage, Myriam A1 - Lloyd-Jones, Donald M A1 - Hou, Lifang A1 - Psaty, Bruce M A1 - Bis, Joshua C A1 - Floyd, James S A1 - Vasan, Ramachandran S A1 - Heard-Costa, Nancy L A1 - Carson, April P A1 - Hall, Michael E A1 - Rich, Stephen S A1 - Guo, Xiuqing A1 - Kazi, Dhruv S A1 - de Ferranti, Sarah D A1 - Moran, Andrew E KW - Coronary Disease KW - Genotype KW - Humans KW - Hypercholesterolemia KW - Hyperlipoproteinemia Type II VL - 147 IS - 20 ER - TY - JOUR T1 - Carriers of rare damaging genetic variants are at lower risk of atherosclerotic disease. JF - medRxiv Y1 - 2023 A1 - Georgakis, Marios K A1 - Malik, Rainer A1 - Hasbani, Natalie R A1 - Shakt, Gabrielle A1 - Morrison, Alanna C A1 - Tsao, Noah L A1 - Judy, Renae A1 - Mitchell, Braxton D A1 - Xu, Huichun A1 - Montasser, May E A1 - Do, Ron A1 - Kenny, Eimear E A1 - Loos, Ruth J F A1 - Terry, James G A1 - Carr, John Jeffrey A1 - Bis, Joshua C A1 - Psaty, Bruce M A1 - Longstreth, W T A1 - Young, Kendra A A1 - Lutz, Sharon M A1 - Cho, Michael H A1 - Broome, Jai A1 - Khan, Alyna T A1 - Wang, Fei Fei A1 - Heard-Costa, Nancy A1 - Seshadri, Sudha A1 - Vasan, Ramachandran S A1 - Palmer, Nicholette D A1 - Freedman, Barry I A1 - Bowden, Donald W A1 - Yanek, Lisa R A1 - Kral, Brian G A1 - Becker, Lewis C A1 - Peyser, Patricia A A1 - Bielak, Lawrence F A1 - Ammous, Farah A1 - Carson, April P A1 - Hall, Michael E A1 - Raffield, Laura M A1 - Rich, Stephen S A1 - Post, Wendy S A1 - Tracy, Russel P A1 - Taylor, Kent D A1 - Guo, Xiuqing A1 - Mahaney, Michael C A1 - Curran, Joanne E A1 - Blangero, John A1 - Clarke, Shoa L A1 - Haessler, Jeffrey W A1 - Hu, Yao A1 - Assimes, Themistocles L A1 - Kooperberg, Charles A1 - Damrauer, Scott M A1 - Rotter, Jerome I A1 - de Vries, Paul S A1 - Dichgans, Martin AB -

BACKGROUND: The CCL2/CCR2 axis governs monocyte trafficking and recruitment to atherosclerotic lesions. Human genetic analyses and population-based studies support an association between circulating CCL2 levels and atherosclerosis. Still, it remains unknown whether pharmacological targeting of CCR2, the main CCL2 receptor, would provide protection against human atherosclerotic disease.

METHODS: In whole-exome sequencing data from 454,775 UK Biobank participants (40-69 years), we identified predicted loss-of-function (LoF) or damaging missense (REVEL score >0.5) variants within the gene. We prioritized variants associated with lower monocyte count (p<0.05) and tested associations with vascular risk factors and risk of atherosclerotic disease over a mean follow-up of 14 years. The results were replicated in a pooled cohort of three independent datasets (TOPMed, deCODE and Penn Medicine BioBank; total n=441,445) and the effect of the most frequent damaging variant was experimentally validated.

RESULTS: A total of 45 predicted LoF or damaging missense variants were identified in the gene, 4 of which were also significantly associated with lower monocyte count, but not with other white blood cell counts. Heterozygous carriers of these variants were at a lower risk of a combined atherosclerosis outcome, showed a lower burden of atherosclerosis across four vascular beds, and were at a lower lifetime risk of coronary artery disease and myocardial infarction. There was no evidence of association with vascular risk factors including LDL-cholesterol, blood pressure, glycemic status, or C-reactive protein. Using a cAMP assay, we found that cells transfected with the most frequent damaging variant (3:46358273:T:A, M249K, 547 carriers, frequency: 0.14%) show a decrease in signaling in response to CCL2. The associations of the M249K variant with myocardial infarction were consistent across cohorts (OR : 0.62 95%CI: 0.39-0.96; OR : 0.64 95%CI: 0.34-1.19; OR : 0.64 95%CI: 0.45-0.90). In a phenome-wide association study, we found no evidence for higher risk of common infections or mortality among carriers of damaging variants.

CONCLUSIONS: Heterozygous carriers of damaging variants have a lower burden of atherosclerosis and lower lifetime risk of myocardial infarction. In conjunction with previous evidence from experimental and epidemiological studies, our findings highlight the translational potential of CCR2-targeting as an atheroprotective approach.

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 - TY - JOUR T1 - Determinants of mosaic chromosomal alteration fitness. JF - medRxiv Y1 - 2023 A1 - Pershad, Yash A1 - Mack, Taralynn A1 - Poisner, Hannah A1 - Jakubek, Yasminka A A1 - Stilp, Adrienne M A1 - Mitchell, Braxton D A1 - Lewis, Joshua P A1 - Boerwinkle, Eric A1 - Loos, Ruth J A1 - Chami, Nathalie A1 - Wang, Zhe A1 - Barnes, Kathleen A1 - Pankratz, Nathan A1 - Fornage, Myriam A1 - Redline, Susan A1 - Psaty, Bruce M A1 - Bis, Joshua C A1 - Shojaie, Ali A1 - Silverman, Edwin K A1 - Cho, Michael H A1 - Yun, Jeong A1 - DeMeo, Dawn A1 - Levy, Daniel A1 - Johnson, Andrew A1 - Mathias, Rasika A1 - Taub, Margaret A1 - Arnett, Donna A1 - North, Kari A1 - Raffield, Laura M A1 - Carson, April A1 - Doyle, Margaret F A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Guo, Xiuqing A1 - Cox, Nancy A1 - Roden, Dan M A1 - Franceschini, Nora A1 - Desai, Pinkal A1 - Reiner, Alex A1 - Auer, Paul L A1 - Scheet, Paul A1 - Jaiswal, Siddhartha A1 - Weinstock, Joshua S A1 - Bick, Alexander G AB -

Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well-understood. We used the Passenger-Approximated Clonal Expansion Rate (PACER) method to estimate clonal expansion rate for 6,381 individuals in the NHLBI TOPMed cohort with gain, loss, and copy-neutral loss of heterozygosity mCAs. Our estimates of mCA fitness were correlated (R = 0.49) with an alternative approach that estimated fitness of mCAs in the UK Biobank using a theoretical probability distribution. Individuals with lymphoid-associated mCAs had a significantly higher white blood cell count and faster clonal expansion rate. In a cross-sectional analysis, genome-wide association study of estimates of mCA expansion rate identified , , and locus variants as modulators of mCA clonal expansion rate.

ER - TY - JOUR T1 - Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups. JF - Nat Commun Y1 - 2023 A1 - Kurniansyah, Nuzulul A1 - Goodman, Matthew O A1 - Khan, Alyna T A1 - Wang, Jiongming A1 - Feofanova, Elena A1 - Bis, Joshua C A1 - Wiggins, Kerri L A1 - Huffman, Jennifer E A1 - Kelly, Tanika A1 - Elfassy, Tali A1 - Guo, Xiuqing A1 - Palmas, Walter A1 - Lin, Henry J A1 - Hwang, Shih-Jen A1 - Gao, Yan A1 - Young, Kendra A1 - Kinney, Gregory L A1 - Smith, Jennifer A A1 - Yu, Bing A1 - Liu, Simin A1 - Wassertheil-Smoller, Sylvia A1 - Manson, JoAnn E A1 - Zhu, Xiaofeng A1 - Chen, Yii-Der Ida A1 - Lee, I-Te A1 - Gu, C Charles A1 - Lloyd-Jones, Donald M A1 - Zöllner, Sebastian A1 - Fornage, Myriam A1 - Kooperberg, Charles A1 - Correa, Adolfo A1 - Psaty, Bruce M A1 - Arnett, Donna K A1 - Isasi, Carmen R A1 - Rich, Stephen S A1 - Kaplan, Robert C A1 - Redline, Susan A1 - Mitchell, Braxton D A1 - Franceschini, Nora A1 - Levy, Daniel A1 - Rotter, Jerome I A1 - Morrison, Alanna C A1 - Sofer, Tamar KW - Blood Pressure KW - Ethnicity KW - Female KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Male KW - Multifactorial Inheritance KW - Population Health KW - Risk Factors AB -

We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2) methods to construct PRSs from each of multiple GWAS, as well as multi-PRS approaches that sum PRSs with and without weights, including PRS-CSx. We use datasets from the MGB Biobank, TOPMed study, UK biobank, and from All of Us to train, assess, and validate PRSs in groups defined by self-reported race/ethnic background (Asian, Black, Hispanic/Latino, and White). For both SBP and DBP, the PRS-CSx based PRS, constructed as a weighted sum of PRSs developed from multiple independent GWAS, perform best across all race/ethnic backgrounds. Stratified analysis in All of Us shows that PRSs are better predictive of BP in females compared to males, individuals without obesity, and middle-aged (40-60 years) compared to older and younger individuals.

VL - 14 IS - 1 ER - TY - JOUR T1 - Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci. JF - Front Genet Y1 - 2023 A1 - de Las Fuentes, Lisa A1 - Schwander, Karen L A1 - Brown, Michael R A1 - Bentley, Amy R A1 - Winkler, Thomas W A1 - Sung, Yun Ju A1 - Munroe, Patricia B A1 - Miller, Clint L A1 - Aschard, Hugo A1 - Aslibekyan, Stella A1 - Bartz, Traci M A1 - Bielak, Lawrence F A1 - Chai, Jin Fang A1 - Cheng, Ching-Yu A1 - Dorajoo, Rajkumar A1 - Feitosa, Mary F A1 - Guo, Xiuqing A1 - Hartwig, Fernando P A1 - Horimoto, Andrea A1 - Kolcic, Ivana A1 - Lim, Elise A1 - Liu, Yongmei A1 - Manning, Alisa K A1 - Marten, Jonathan A1 - Musani, Solomon K A1 - Noordam, Raymond A1 - Padmanabhan, Sandosh A1 - Rankinen, Tuomo A1 - Richard, Melissa A A1 - Ridker, Paul M A1 - Smith, Albert V A1 - Vojinovic, Dina A1 - Zonderman, Alan B A1 - Alver, Maris A1 - Boissel, Mathilde A1 - Christensen, Kaare A1 - Freedman, Barry I A1 - Gao, Chuan A1 - Giulianini, Franco A1 - Harris, Sarah E A1 - He, Meian A1 - Hsu, Fang-Chi A1 - Kuhnel, Brigitte A1 - Laguzzi, Federica A1 - Li, Xiaoyin A1 - Lyytikäinen, Leo-Pekka A1 - Nolte, Ilja M A1 - Poveda, Alaitz A1 - Rauramaa, Rainer A1 - Riaz, Muhammad A1 - Robino, Antonietta A1 - Sofer, Tamar A1 - Takeuchi, Fumihiko A1 - Tayo, Bamidele O A1 - van der Most, Peter J A1 - Verweij, Niek A1 - Ware, Erin B A1 - Weiss, Stefan A1 - Wen, Wanqing A1 - Yanek, Lisa R A1 - Zhan, Yiqiang A1 - Amin, Najaf A1 - Arking, Dan E A1 - Ballantyne, Christie A1 - Boerwinkle, Eric A1 - Brody, Jennifer A A1 - Broeckel, Ulrich A1 - Campbell, Archie A1 - Canouil, Mickaël A1 - Chai, Xiaoran A1 - Chen, Yii-Der Ida A1 - Chen, Xu A1 - Chitrala, Kumaraswamy Naidu A1 - Concas, Maria Pina A1 - de Faire, Ulf A1 - de Mutsert, Renée A1 - de Silva, H Janaka A1 - de Vries, Paul S A1 - Do, Ahn A1 - Faul, Jessica D A1 - Fisher, Virginia A1 - Floyd, James S A1 - Forrester, Terrence A1 - Friedlander, Yechiel A1 - Girotto, Giorgia A1 - Gu, C Charles A1 - Hallmans, Göran A1 - Heikkinen, Sami A1 - Heng, Chew-Kiat A1 - Homuth, Georg A1 - Hunt, Steven A1 - Ikram, M Arfan A1 - Jacobs, David R A1 - Kavousi, Maryam A1 - Khor, Chiea Chuen A1 - Kilpeläinen, Tuomas O A1 - Koh, Woon-Puay A1 - Komulainen, Pirjo A1 - Langefeld, Carl D A1 - Liang, Jingjing A1 - Liu, Kiang A1 - Liu, Jianjun A1 - Lohman, Kurt A1 - Mägi, Reedik A1 - Manichaikul, Ani W A1 - McKenzie, Colin A A1 - Meitinger, Thomas A1 - Milaneschi, Yuri A1 - Nauck, Matthias A1 - Nelson, Christopher P A1 - O'Connell, Jeffrey R A1 - Palmer, Nicholette D A1 - Pereira, Alexandre C A1 - Perls, Thomas A1 - Peters, Annette A1 - Polasek, Ozren A1 - Raitakari, Olli T A1 - Rice, Kenneth A1 - Rice, Treva K A1 - Rich, Stephen S A1 - Sabanayagam, Charumathi A1 - Schreiner, Pamela J A1 - Shu, Xiao-Ou A1 - Sidney, Stephen A1 - Sims, Mario A1 - Smith, Jennifer A A1 - Starr, John M A1 - Strauch, Konstantin A1 - Tai, E Shyong A1 - Taylor, Kent D A1 - Tsai, Michael Y A1 - Uitterlinden, André G A1 - van Heemst, Diana A1 - Waldenberger, Melanie A1 - Wang, Ya-Xing A1 - Wei, Wen-Bin A1 - Wilson, Gregory A1 - Xuan, Deng A1 - Yao, Jie A1 - Yu, Caizheng A1 - Yuan, Jian-Min A1 - Zhao, Wei A1 - Becker, Diane M A1 - Bonnefond, Amélie A1 - Bowden, Donald W A1 - Cooper, Richard S A1 - Deary, Ian J A1 - Divers, Jasmin A1 - Esko, Tõnu A1 - Franks, Paul W A1 - Froguel, Philippe A1 - Gieger, Christian A1 - Jonas, Jost B A1 - Kato, Norihiro A1 - Lakka, Timo A A1 - Leander, Karin A1 - Lehtimäki, Terho A1 - Magnusson, Patrik K E A1 - North, Kari E A1 - Ntalla, Ioanna A1 - Penninx, Brenda A1 - Samani, Nilesh J A1 - Snieder, Harold A1 - Spedicati, Beatrice A1 - van der Harst, Pim A1 - Völzke, Henry A1 - Wagenknecht, Lynne E A1 - Weir, David R A1 - Wojczynski, Mary K A1 - Wu, Tangchun A1 - Zheng, Wei A1 - Zhu, Xiaofeng A1 - Bouchard, Claude A1 - Chasman, Daniel I A1 - Evans, Michele K A1 - Fox, Ervin R A1 - Gudnason, Vilmundur A1 - Hayward, Caroline A1 - Horta, Bernardo L A1 - Kardia, Sharon L R A1 - Krieger, Jose Eduardo A1 - Mook-Kanamori, Dennis O A1 - Peyser, Patricia A A1 - Province, Michael M A1 - Psaty, Bruce M A1 - Rudan, Igor A1 - Sim, Xueling A1 - Smith, Blair H A1 - van Dam, Rob M A1 - van Duijn, Cornelia M A1 - Wong, Tien Yin A1 - Arnett, Donna K A1 - Rao, Dabeeru C A1 - Gauderman, James A1 - Liu, Ching-Ti A1 - Morrison, Alanna C A1 - Rotter, Jerome I A1 - Fornage, Myriam AB -

Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes. A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: "Some College" (yes/no, for any education beyond high school) and "Graduated College" (yes/no, for completing a 4-year college degree). Genome-wide significant ( < 5 × 10) and suggestive ( < 1 × 10) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals). In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose (), brain (), and liver () biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue. Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects.

VL - 14 ER - TY - JOUR T1 - Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease. JF - Nat Commun Y1 - 2023 A1 - Young, William J A1 - Haessler, Jeffrey A1 - Benjamins, Jan-Walter A1 - Repetto, Linda A1 - Yao, Jie A1 - Isaacs, Aaron A1 - Harper, Andrew R A1 - Ramirez, Julia A1 - Garnier, Sophie A1 - Van Duijvenboden, Stefan A1 - Baldassari, Antoine R A1 - Concas, Maria Pina A1 - Duong, ThuyVy A1 - Foco, Luisa A1 - Isaksen, Jonas L A1 - Mei, Hao A1 - Noordam, Raymond A1 - Nursyifa, Casia A1 - Richmond, Anne A1 - Santolalla, Meddly L A1 - Sitlani, Colleen M A1 - Soroush, Negin A1 - Thériault, Sébastien A1 - Trompet, Stella A1 - Aeschbacher, Stefanie A1 - Ahmadizar, Fariba A1 - Alonso, Alvaro A1 - Brody, Jennifer A A1 - Campbell, Archie A1 - Correa, Adolfo A1 - Darbar, Dawood A1 - De Luca, Antonio A1 - Deleuze, Jean-Francois A1 - Ellervik, Christina A1 - Fuchsberger, Christian A1 - Goel, Anuj A1 - Grace, Christopher A1 - Guo, Xiuqing A1 - Hansen, Torben A1 - Heckbert, Susan R A1 - Jackson, Rebecca D A1 - Kors, Jan A A1 - Lima-Costa, Maria Fernanda A1 - Linneberg, Allan A1 - Macfarlane, Peter W A1 - Morrison, Alanna C A1 - Navarro, Pau A1 - Porteous, David J A1 - Pramstaller, Peter P A1 - Reiner, Alexander P A1 - Risch, Lorenz A1 - Schotten, Ulrich A1 - Shen, Xia A1 - Sinagra, Gianfranco A1 - Soliman, Elsayed Z A1 - Stoll, Monika A1 - Tarazona-Santos, Eduardo A1 - Tinker, Andrew A1 - Trajanoska, Katerina A1 - Villard, Eric A1 - Warren, Helen R A1 - Whitsel, Eric A A1 - Wiggins, Kerri L A1 - Arking, Dan E A1 - Avery, Christy L A1 - Conen, David A1 - Girotto, Giorgia A1 - Grarup, Niels A1 - Hayward, Caroline A1 - Jukema, J Wouter A1 - Mook-Kanamori, Dennis O A1 - Olesen, Morten Salling A1 - Padmanabhan, Sandosh A1 - Psaty, Bruce M A1 - Pattaro, Cristian A1 - Ribeiro, Antonio Luiz P A1 - Rotter, Jerome I A1 - Stricker, Bruno H A1 - van der Harst, Pim A1 - van Duijn, Cornelia M A1 - Verweij, Niek A1 - Wilson, James G A1 - Orini, Michele A1 - Charron, Philippe A1 - Watkins, Hugh A1 - Kooperberg, Charles A1 - Lin, Henry J A1 - Wilson, James F A1 - Kanters, Jørgen K A1 - Sotoodehnia, Nona A1 - Mifsud, Borbala A1 - Lambiase, Pier D A1 - Tereshchenko, Larisa G A1 - Munroe, Patricia B KW - Arrhythmias, Cardiac KW - Atrioventricular Block KW - Biomarkers KW - Cardiovascular Diseases KW - Electrocardiography KW - Genome-Wide Association Study KW - Humans KW - Risk Factors AB -

The 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry genome-wide association studies we identify 61 (58 previously unreported) loci for the spatial QRS-T angle (N = 118,780) and 11 for the frontal QRS-T angle (N = 159,715). Seven out of the 61 spatial QRS-T angle loci have not been reported for other electrocardiographic measures. Enrichments are observed in pathways related to cardiac and vascular development, muscle contraction, and hypertrophy. Pairwise genome-wide association studies with classical ECG traits identify shared genetic influences with PR interval and QRS duration. Phenome-wide scanning indicate associations with atrial fibrillation, atrioventricular block and arterial embolism and genetically determined QRS-T angle measures are associated with fascicular and bundle branch block (and also atrioventricular block for the frontal QRS-T angle). We identify potential biology involved in the QRS-T angle and their genetic relationships with cardiovascular traits and diseases, may inform future research and risk prediction.

VL - 14 IS - 1 ER - TY - JOUR T1 - The genetic determinants of recurrent somatic mutations in 43,693 blood genomes. JF - Sci Adv Y1 - 2023 A1 - Weinstock, Joshua S A1 - Laurie, Cecelia A A1 - Broome, Jai G A1 - Taylor, Kent D A1 - Guo, Xiuqing A1 - Shuldiner, Alan R A1 - O'Connell, Jeffrey R A1 - Lewis, Joshua P A1 - Boerwinkle, Eric A1 - Barnes, Kathleen C A1 - Chami, Nathalie A1 - Kenny, Eimear E A1 - Loos, Ruth J F A1 - Fornage, Myriam A1 - Redline, Susan A1 - Cade, Brian E A1 - Gilliland, Frank D A1 - Chen, Zhanghua A1 - Gauderman, W James A1 - Kumar, Rajesh A1 - Grammer, Leslie A1 - Schleimer, Robert P A1 - Psaty, Bruce M A1 - Bis, Joshua C A1 - Brody, Jennifer A A1 - Silverman, Edwin K A1 - Yun, Jeong H A1 - Qiao, Dandi A1 - Weiss, Scott T A1 - Lasky-Su, Jessica A1 - DeMeo, Dawn L A1 - Palmer, Nicholette D A1 - Freedman, Barry I A1 - Bowden, Donald W A1 - Cho, Michael H A1 - Vasan, Ramachandran S A1 - Johnson, Andrew D A1 - Yanek, Lisa R A1 - Becker, Lewis C A1 - Kardia, Sharon A1 - He, Jiang A1 - Kaplan, Robert A1 - Heckbert, Susan R A1 - Smith, Nicholas L A1 - Wiggins, Kerri L A1 - Arnett, Donna K A1 - Irvin, Marguerite R A1 - Tiwari, Hemant A1 - Correa, Adolfo A1 - Raffield, Laura M A1 - Gao, Yan A1 - de Andrade, Mariza A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Manichaikul, Ani W A1 - Konkle, Barbara A A1 - Johnsen, Jill M A1 - Wheeler, Marsha M A1 - Custer, Brian S A1 - Duggirala, Ravindranath A1 - Curran, Joanne E A1 - Blangero, John A1 - Gui, Hongsheng A1 - Xiao, Shujie A1 - Williams, L Keoki A1 - Meyers, Deborah A A1 - Li, Xingnan A1 - Ortega, Victor A1 - McGarvey, Stephen A1 - Gu, C Charles A1 - Chen, Yii-Der Ida A1 - Lee, Wen-Jane A1 - Shoemaker, M Benjamin A1 - Darbar, Dawood A1 - Roden, Dan A1 - Albert, Christine A1 - Kooperberg, Charles A1 - Desai, Pinkal A1 - Blackwell, Thomas W A1 - Abecasis, Goncalo R A1 - Smith, Albert V A1 - Kang, Hyun M A1 - Mathias, Rasika A1 - Natarajan, Pradeep A1 - Jaiswal, Siddhartha A1 - Reiner, Alexander P A1 - Bick, Alexander G KW - Germ-Line Mutation KW - Hematopoiesis KW - Humans KW - Middle Aged KW - Mutation KW - Mutation, Missense KW - Phenotype AB -

Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-missense somatic mutations that are recurrently mutated in at least 50 individuals. These recurrent non-missense somatic mutations (RNMSMs) are not clearly explained by other clonal phenomena such as clonal hematopoiesis. RNMSM prevalence increased with age, with an average 50-year-old having 27 RNMSMs. Inherited germline variation associated with RNMSM acquisition. These variants were found in genes involved in adaptive immune function, proinflammatory cytokine production, and lymphoid lineage commitment. In addition, the presence of eight specific RNMSMs associated with blood cell traits at effect sizes comparable to Mendelian genetic mutations. Overall, we found that somatic mutations in blood are an unexpectedly common phenomenon with ancestry-specific determinants and human health consequences.

VL - 9 IS - 17 ER - TY - JOUR T1 - Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure. JF - medRxiv Y1 - 2023 A1 - Guirette, Melanie A1 - Lan, Jessie A1 - McKeown, Nicola A1 - Brown, Michael R A1 - Chen, Han A1 - de Vries, Paul S A1 - Kim, Hyunju A1 - Rebholz, Casey M A1 - Morrison, Alanna C A1 - Bartz, Traci M A1 - Fretts, Amanda M A1 - Guo, Xiuqing A1 - Lemaitre, Rozenn N A1 - Liu, Ching-Ti A1 - Noordam, Raymond A1 - de Mutsert, Renée A1 - Rosendaal, Frits R A1 - Wang, Carol A A1 - Beilin, Lawrence A1 - Mori, Trevor A A1 - Oddy, Wendy H A1 - Pennell, Craig E A1 - Chai, Jin Fang A1 - Whitton, Clare A1 - van Dam, Rob M A1 - Liu, Jianjun A1 - Tai, E Shyong A1 - Sim, Xueling A1 - Neuhouser, Marian L A1 - Kooperberg, Charles A1 - Tinker, Lesley A1 - Franceschini, Nora A1 - Huan, Tianxiao A1 - Winkler, Thomas W A1 - Bentley, Amy R A1 - Gauderman, W James A1 - Heerkens, Luc A1 - Tanaka, Toshiko A1 - van Rooij, Jeroen A1 - Munroe, Patricia B A1 - Warren, Helen R A1 - Voortman, Trudy A1 - Chen, Honglei A1 - Rao, D C A1 - Levy, Daniel A1 - Ma, Jiantao AB -

OBJECTIVE: We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP).

METHODS: We analyzed up to 9,420,585 biallelic imputed single nucleotide polymorphisms (SNPs) in up to 127,282 individuals of six population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (CHARGE; n=35,660) and UK Biobank (n=91,622) and performed European population-specific and cross-population meta-analyses.

RESULTS: We identified three loci in European-specific analyses and an additional four loci in cross-population analyses at P for interaction < 5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency = 0.03) and the DASH diet score (P for interaction = 4e-8; P for heterogeneity = 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (P for interaction = 9.4e-7) and 0.20±0.06 mm Hg (P for interaction = 0.001) in CHARGE and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with -expression quantitative trait loci (eQTL) variants (P = 4e-273) and -DNA methylation quantitative trait loci (mQTL) variants (P = 1e-300). While the closest gene for rs117878928 is , the highest narrow sense heritability accounted by SNPs potentially interacting with the DASH diet score in this locus was for gene at 15q25.1.

CONCLUSION: We demonstrated gene-DASH diet score interaction effects on SBP in several loci. Studies with larger diverse populations are needed to validate our findings.

ER - TY - JOUR T1 - Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores. JF - medRxiv Y1 - 2023 A1 - Hrytsenko, Yana A1 - Shea, Benjamin A1 - Elgart, Michael A1 - Kurniansyah, Nuzulul A1 - Lyons, Genevieve A1 - Morrison, Alanna C A1 - Carson, April P A1 - Haring, Bernhard A1 - Mitchel, Braxton D A1 - Psaty, Bruce M A1 - Jaeger, Byron C A1 - Gu, C Charles A1 - Kooperberg, Charles A1 - Levy, Daniel A1 - Lloyd-Jones, Donald A1 - Choi, Eunhee A1 - Brody, Jennifer A A1 - Smith, Jennifer A A1 - Rotter, Jerome I A1 - Moll, Matthew A1 - Fornage, Myriam A1 - Simon, Noah A1 - Castaldi, Peter A1 - Casanova, Ramon A1 - Chung, Ren-Hua A1 - Kaplan, Robert A1 - Loos, Ruth J F A1 - Kardia, Sharon L R A1 - Rich, Stephen S A1 - Redline, Susan A1 - Kelly, Tanika A1 - O'Connor, Timothy A1 - Zhao, Wei A1 - Kim, Wonji A1 - Guo, Xiuqing A1 - Der Ida Chen, Yii A1 - Sofer, Tamar AB -

We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We developed a two-model ensemble, consisting of a baseline model, where prediction is based on demographic and clinical variables only, and a genetic model, where we also include PRSs. We evaluate the use of a linear versus a non-linear model at both the baseline and the genetic model levels and assess the improvement in performance when incorporating multiple PRSs. We report the ensemble model's performance as percentage variance explained (PVE) on a held-out test dataset. A non-linear baseline model improved the PVEs from 28.1% to 30.1% (SBP) and 14.3% to 17.4% (DBP) compared with a linear baseline model. Including seven PRSs in the genetic model computed based on the largest available GWAS of SBP/DBP improved the genetic model PVE from 4.8% to 5.1% (SBP) and 4.7% to 5% (DBP) compared to using a single PRS. Adding additional 14 PRSs computed based on two independent GWASs further increased the genetic model PVE to 6.3% (SBP) and 5.7% (DBP). PVE differed across self-reported race/ethnicity groups, with primarily all non-White groups benefitting from the inclusion of additional PRSs.

ER - TY - JOUR T1 - Mosaic chromosomal alterations in blood across ancestries using whole-genome sequencing. JF - Nat Genet Y1 - 2023 A1 - Jakubek, Yasminka A A1 - Zhou, Ying A1 - Stilp, Adrienne A1 - Bacon, Jason A1 - Wong, Justin W A1 - Ozcan, Zuhal A1 - Arnett, Donna A1 - Barnes, Kathleen A1 - Bis, Joshua C A1 - Boerwinkle, Eric A1 - Brody, Jennifer A A1 - Carson, April P A1 - Chasman, Daniel I A1 - Chen, Jiawen A1 - Cho, Michael A1 - Conomos, Matthew P A1 - Cox, Nancy A1 - Doyle, Margaret F A1 - Fornage, Myriam A1 - Guo, Xiuqing A1 - Kardia, Sharon L R A1 - Lewis, Joshua P A1 - Loos, Ruth J F A1 - Ma, Xiaolong A1 - Machiela, Mitchell J A1 - Mack, Taralynn M A1 - Mathias, Rasika A A1 - Mitchell, Braxton D A1 - Mychaleckyj, Josyf C A1 - North, Kari A1 - Pankratz, Nathan A1 - Peyser, Patricia A A1 - Preuss, Michael H A1 - Psaty, Bruce A1 - Raffield, Laura M A1 - Vasan, Ramachandran S A1 - Redline, Susan A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Silverman, Edwin K A1 - Smith, Jennifer A A1 - Smith, Aaron P A1 - Taub, Margaret A1 - Taylor, Kent D A1 - Yun, Jeong A1 - Li, Yun A1 - Desai, Pinkal A1 - Bick, Alexander G A1 - Reiner, Alexander P A1 - Scheet, Paul A1 - Auer, Paul L KW - Black People KW - Genome, Human KW - Genome-Wide Association Study KW - Hispanic or Latino KW - Humans KW - Mosaicism KW - Precision Medicine AB -

Megabase-scale mosaic chromosomal alterations (mCAs) in blood are prognostic markers for a host of human diseases. Here, to gain a better understanding of mCA rates in genetically diverse populations, we analyzed whole-genome sequencing data from 67,390 individuals from the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program. We observed higher sensitivity with whole-genome sequencing data, compared with array-based data, in uncovering mCAs at low mutant cell fractions and found that individuals of European ancestry have the highest rates of autosomal mCAs and the lowest rates of chromosome X mCAs, compared with individuals of African or Hispanic ancestry. Although further studies in diverse populations will be needed to replicate our findings, we report three loci associated with loss of chromosome X, associations between autosomal mCAs and rare variants in DCPS, ADM17, PPP1R16B and TET2 and ancestry-specific variants in ATM and MPL with mCAs in cis.

VL - 55 IS - 11 ER - TY - JOUR T1 - Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification. JF - Nat Genet Y1 - 2023 A1 - Kavousi, Maryam A1 - Bos, Maxime M A1 - Barnes, Hanna J A1 - Lino Cardenas, Christian L A1 - Wong, Doris A1 - Lu, Haojie A1 - Hodonsky, Chani J A1 - Landsmeer, Lennart P L A1 - Turner, Adam W A1 - Kho, Minjung A1 - Hasbani, Natalie R A1 - de Vries, Paul S A1 - Bowden, Donald W A1 - Chopade, Sandesh A1 - Deelen, Joris A1 - Benavente, Ernest Diez A1 - Guo, Xiuqing A1 - Hofer, Edith A1 - Hwang, Shih-Jen A1 - Lutz, Sharon M A1 - Lyytikäinen, Leo-Pekka A1 - Slenders, Lotte A1 - Smith, Albert V A1 - Stanislawski, Maggie A A1 - van Setten, Jessica A1 - Wong, Quenna A1 - Yanek, Lisa R A1 - Becker, Diane M A1 - Beekman, Marian A1 - Budoff, Matthew J A1 - Feitosa, Mary F A1 - Finan, Chris A1 - Hilliard, Austin T A1 - Kardia, Sharon L R A1 - Kovacic, Jason C A1 - Kral, Brian G A1 - Langefeld, Carl D A1 - Launer, Lenore J A1 - Malik, Shaista A1 - Hoesein, Firdaus A A Mohamed A1 - Mokry, Michal A1 - Schmidt, Reinhold A1 - Smith, Jennifer A A1 - Taylor, Kent D A1 - Terry, James G A1 - van der Grond, Jeroen A1 - van Meurs, Joyce A1 - Vliegenthart, Rozemarijn A1 - Xu, Jianzhao A1 - Young, Kendra A A1 - Zilhão, Nuno R A1 - Zweiker, Robert A1 - Assimes, Themistocles L A1 - Becker, Lewis C A1 - Bos, Daniel A1 - Carr, J Jeffrey A1 - Cupples, L Adrienne A1 - de Kleijn, Dominique P V A1 - de Winther, Menno A1 - den Ruijter, Hester M A1 - Fornage, Myriam A1 - Freedman, Barry I A1 - Gudnason, Vilmundur A1 - Hingorani, Aroon D A1 - Hokanson, John E A1 - Ikram, M Arfan A1 - Išgum, Ivana A1 - Jacobs, David R A1 - Kähönen, Mika A1 - Lange, Leslie A A1 - Lehtimäki, Terho A1 - Pasterkamp, Gerard A1 - Raitakari, Olli T A1 - Schmidt, Helena A1 - Slagboom, P Eline A1 - Uitterlinden, André G A1 - Vernooij, Meike W A1 - Bis, Joshua C A1 - Franceschini, Nora A1 - Psaty, Bruce M A1 - Post, Wendy S A1 - Rotter, Jerome I A1 - Björkegren, Johan L M A1 - O'Donnell, Christopher J A1 - Bielak, Lawrence F A1 - Peyser, Patricia A A1 - Malhotra, Rajeev A1 - van der Laan, Sander W A1 - Miller, Clint L AB -

Coronary artery calcification (CAC), a measure of subclinical atherosclerosis, predicts future symptomatic coronary artery disease (CAD). Identifying genetic risk factors for CAC may point to new therapeutic avenues for prevention. Currently, there are only four known risk loci for CAC identified from genome-wide association studies (GWAS) in the general population. Here we conducted the largest multi-ancestry GWAS meta-analysis of CAC to date, which comprised 26,909 individuals of European ancestry and 8,867 individuals of African ancestry. We identified 11 independent risk loci, of which eight were new for CAC and five had not been reported for CAD. These new CAC loci are related to bone mineralization, phosphate catabolism and hormone metabolic pathways. Several new loci harbor candidate causal genes supported by multiple lines of functional evidence and are regulators of smooth muscle cell-mediated calcification ex vivo and in vitro. Together, these findings help refine the genetic architecture of CAC and extend our understanding of the biological and potential druggable pathways underlying CAC.

VL - 55 IS - 10 ER - TY - JOUR T1 - Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications. JF - medRxiv Y1 - 2023 A1 - Suzuki, Ken A1 - Hatzikotoulas, Konstantinos A1 - Southam, Lorraine A1 - Taylor, Henry J A1 - Yin, Xianyong A1 - Lorenz, Kim M A1 - Mandla, Ravi A1 - Huerta-Chagoya, Alicia A1 - Rayner, Nigel W A1 - Bocher, Ozvan A1 - Ana Luiza de, S V Arruda A1 - Sonehara, Kyuto A1 - Namba, Shinichi A1 - Lee, Simon S K A1 - Preuss, Michael H A1 - Petty, Lauren E A1 - Schroeder, Philip A1 - Vanderwerff, Brett A1 - Kals, Mart A1 - Bragg, Fiona A1 - Lin, Kuang A1 - Guo, Xiuqing A1 - Zhang, Weihua A1 - Yao, Jie A1 - Kim, Young Jin A1 - Graff, Mariaelisa A1 - Takeuchi, Fumihiko A1 - Nano, Jana A1 - Lamri, Amel A1 - Nakatochi, Masahiro A1 - Moon, Sanghoon A1 - Scott, Robert A A1 - Cook, James P A1 - Lee, Jung-Jin A1 - Pan, Ian A1 - Taliun, Daniel A1 - Parra, Esteban J A1 - Chai, Jin-Fang A1 - Bielak, Lawrence F A1 - Tabara, Yasuharu A1 - Hai, Yang A1 - Thorleifsson, Gudmar A1 - Grarup, Niels A1 - Sofer, Tamar A1 - Wuttke, Matthias A1 - Sarnowski, Chloe A1 - Gieger, Christian A1 - Nousome, Darryl A1 - Trompet, Stella A1 - Kwak, Soo-Heon A1 - Long, Jirong A1 - Sun, Meng A1 - Tong, Lin A1 - Chen, Wei-Min A1 - Nongmaithem, Suraj S A1 - Noordam, Raymond A1 - Lim, Victor J Y A1 - Tam, Claudia H T A1 - Joo, Yoonjung Yoonie A1 - Chen, Chien-Hsiun A1 - Raffield, Laura M A1 - Prins, Bram Peter A1 - Nicolas, Aude A1 - Yanek, Lisa R A1 - Chen, Guanjie A1 - Brody, Jennifer A A1 - Kabagambe, Edmond A1 - An, Ping A1 - Xiang, Anny H A1 - Choi, Hyeok Sun A1 - Cade, Brian E A1 - Tan, Jingyi A1 - Alaine Broadaway, K A1 - Williamson, Alice A1 - Kamali, Zoha A1 - Cui, Jinrui A1 - Adair, Linda S A1 - Adeyemo, Adebowale A1 - Aguilar-Salinas, Carlos A A1 - Ahluwalia, Tarunveer S A1 - Anand, Sonia S A1 - Bertoni, Alain A1 - Bork-Jensen, Jette A1 - Brandslund, Ivan A1 - Buchanan, Thomas A A1 - Burant, Charles F A1 - Butterworth, Adam S A1 - Canouil, Mickaël A1 - Chan, Juliana C N A1 - Chang, Li-Ching A1 - Chee, Miao-Li A1 - Chen, Ji A1 - Chen, Shyh-Huei A1 - Chen, Yuan-Tsong A1 - Chen, Zhengming A1 - Chuang, Lee-Ming A1 - Cushman, Mary A1 - Danesh, John A1 - Das, Swapan K A1 - Janaka de Silva, H A1 - Dedoussis, George A1 - Dimitrov, Latchezar A1 - Doumatey, Ayo P A1 - Du, Shufa A1 - Duan, Qing A1 - Eckardt, Kai-Uwe A1 - Emery, Leslie S A1 - Evans, Daniel S A1 - Evans, Michele K A1 - Fischer, Krista A1 - Floyd, James S A1 - Ford, Ian A1 - Franco, Oscar H A1 - Frayling, Timothy M A1 - Freedman, Barry I A1 - Genter, Pauline A1 - Gerstein, Hertzel C A1 - Giedraitis, Vilmantas A1 - González-Villalpando, Clicerio A1 - Gonzalez-Villalpando, Maria Elena A1 - Gordon-Larsen, Penny A1 - Gross, Myron A1 - Guare, Lindsay A A1 - Hackinger, Sophie A1 - Han, Sohee A1 - Hattersley, Andrew T A1 - Herder, Christian A1 - Horikoshi, Momoko A1 - Howard, Annie-Green A1 - Hsueh, Willa A1 - Huang, Mengna A1 - Huang, Wei A1 - Hung, Yi-Jen A1 - Hwang, Mi Yeong A1 - Hwu, Chii-Min A1 - Ichihara, Sahoko A1 - Ikram, Mohammad Arfan A1 - Ingelsson, Martin A1 - Islam, Md Tariqul A1 - Isono, Masato A1 - Jang, Hye-Mi A1 - Jasmine, Farzana A1 - Jiang, Guozhi A1 - Jonas, Jost B A1 - Jørgensen, Torben A1 - Kandeel, Fouad R A1 - Kasturiratne, Anuradhani A1 - Katsuya, Tomohiro A1 - Kaur, Varinderpal A1 - Kawaguchi, Takahisa A1 - Keaton, Jacob M A1 - Kho, Abel N A1 - Khor, Chiea-Chuen A1 - Kibriya, Muhammad G A1 - Kim, Duk-Hwan A1 - Kronenberg, Florian A1 - Kuusisto, Johanna A1 - Läll, Kristi A1 - Lange, Leslie A A1 - Lee, Kyung Min A1 - Lee, Myung-Shik A1 - Lee, Nanette R A1 - Leong, Aaron A1 - Li, Liming A1 - Li, Yun A1 - Li-Gao, Ruifang A1 - Lithgart, Symen A1 - Lindgren, Cecilia M A1 - Linneberg, Allan A1 - Liu, Ching-Ti A1 - Liu, Jianjun A1 - Locke, Adam E A1 - Louie, Tin A1 - Luan, Jian'an A1 - Luk, Andrea O A1 - Luo, Xi A1 - Lv, Jun A1 - Lynch, Julie A A1 - Lyssenko, Valeriya A1 - Maeda, Shiro A1 - Mamakou, Vasiliki A1 - Mansuri, Sohail Rafik A1 - Matsuda, Koichi A1 - Meitinger, Thomas A1 - Metspalu, Andres A1 - Mo, Huan A1 - Morris, Andrew D A1 - Nadler, Jerry L A1 - Nalls, Michael A A1 - Nayak, Uma A1 - Ntalla, Ioanna A1 - Okada, Yukinori A1 - Orozco, Lorena A1 - Patel, Sanjay R A1 - Patil, Snehal A1 - Pei, Pei A1 - Pereira, Mark A A1 - Peters, Annette A1 - Pirie, Fraser J A1 - Polikowsky, Hannah G A1 - Porneala, Bianca A1 - Prasad, Gauri A1 - Rasmussen-Torvik, Laura J A1 - Reiner, Alexander P A1 - Roden, Michael A1 - Rohde, Rebecca A1 - Roll, Katheryn A1 - Sabanayagam, Charumathi A1 - Sandow, Kevin A1 - Sankareswaran, Alagu A1 - Sattar, Naveed A1 - Schönherr, Sebastian A1 - Shahriar, Mohammad A1 - Shen, Botong A1 - Shi, Jinxiu A1 - Shin, Dong Mun A1 - Shojima, Nobuhiro A1 - Smith, Jennifer A A1 - So, Wing Yee A1 - Stančáková, Alena A1 - Steinthorsdottir, Valgerdur A1 - Stilp, Adrienne M A1 - Strauch, Konstantin A1 - Taylor, Kent D A1 - Thorand, Barbara A1 - Thorsteinsdottir, Unnur A1 - Tomlinson, Brian A1 - Tran, Tam C A1 - Tsai, Fuu-Jen A1 - Tuomilehto, Jaakko A1 - Tusié-Luna, Teresa A1 - Udler, Miriam S A1 - Valladares-Salgado, Adan A1 - van Dam, Rob M A1 - van Klinken, Jan B A1 - Varma, Rohit A1 - Wacher-Rodarte, Niels A1 - Wheeler, Eleanor A1 - Wickremasinghe, Ananda R A1 - van Dijk, Ko Willems A1 - Witte, Daniel R A1 - Yajnik, Chittaranjan S A1 - Yamamoto, Ken A1 - Yamamoto, Kenichi A1 - Yoon, Kyungheon A1 - Yu, Canqing A1 - Yuan, Jian-Min A1 - Yusuf, Salim A1 - Zawistowski, Matthew A1 - Zhang, Liang A1 - Zheng, Wei A1 - Project, Biobank Japan A1 - BioBank, Penn Medicine A1 - Center, Regeneron Genetics A1 - Consortium, eMERGE A1 - Raffel, Leslie J A1 - Igase, Michiya A1 - Ipp, Eli A1 - Redline, Susan A1 - Cho, Yoon Shin A1 - Lind, Lars A1 - Province, Michael A A1 - Fornage, Myriam A1 - Hanis, Craig L A1 - Ingelsson, Erik A1 - Zonderman, Alan B A1 - Psaty, Bruce M A1 - Wang, Ya-Xing A1 - Rotimi, Charles N A1 - Becker, Diane M A1 - Matsuda, Fumihiko A1 - Liu, Yongmei A1 - Yokota, Mitsuhiro A1 - Kardia, Sharon L R A1 - Peyser, Patricia A A1 - Pankow, James S A1 - Engert, James C A1 - Bonnefond, Amélie A1 - Froguel, Philippe A1 - Wilson, James G A1 - Sheu, Wayne H H A1 - Wu, Jer-Yuarn A1 - Geoffrey Hayes, M A1 - Ma, Ronald C W A1 - Wong, Tien-Yin A1 - Mook-Kanamori, Dennis O A1 - Tuomi, Tiinamaija A1 - Chandak, Giriraj R A1 - Collins, Francis S A1 - Bharadwaj, Dwaipayan A1 - Paré, Guillaume A1 - Sale, Michèle M A1 - Ahsan, Habibul A1 - Motala, Ayesha A A1 - Shu, Xiao-Ou A1 - Park, Kyong-Soo A1 - Jukema, J Wouter A1 - Cruz, Miguel A1 - Chen, Yii-Der Ida A1 - Rich, Stephen S A1 - McKean-Cowdin, Roberta A1 - Grallert, Harald A1 - Cheng, Ching-Yu A1 - Ghanbari, Mohsen A1 - Tai, E-Shyong A1 - Dupuis, Josée A1 - Kato, Norihiro A1 - Laakso, Markku A1 - Köttgen, Anna A1 - Koh, Woon-Puay A1 - Bowden, Donald W A1 - Palmer, Colin N A A1 - Kooner, Jaspal S A1 - Kooperberg, Charles A1 - Liu, Simin A1 - North, Kari E A1 - Saleheen, Danish A1 - Hansen, Torben A1 - Pedersen, Oluf A1 - Wareham, Nicholas J A1 - Lee, Juyoung A1 - Kim, Bong-Jo A1 - Millwood, Iona Y A1 - Walters, Robin G A1 - Stefansson, Kari A1 - Goodarzi, Mark O A1 - Mohlke, Karen L A1 - Langenberg, Claudia A1 - Haiman, Christopher A A1 - Loos, Ruth J F A1 - Florez, Jose C A1 - Rader, Daniel J A1 - Ritchie, Marylyn D A1 - Zöllner, Sebastian A1 - Mägi, Reedik A1 - Denny, Joshua C A1 - Yamauchi, Toshimasa A1 - Kadowaki, Takashi A1 - Chambers, John C A1 - Ng, Maggie C Y A1 - Sim, Xueling A1 - Below, Jennifer E A1 - Tsao, Philip S A1 - Chang, Kyong-Mi A1 - McCarthy, Mark I A1 - Meigs, James B A1 - Mahajan, Anubha A1 - Spracklen, Cassandra N A1 - Mercader, Josep M A1 - Boehnke, Michael A1 - Rotter, Jerome I A1 - Vujkovic, Marijana A1 - Voight, Benjamin F A1 - Morris, Andrew P A1 - Zeggini, Eleftheria AB -

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7% non-European ancestry), including 428,452 T2D cases. We identify 1,289 independent association signals at genome-wide significance (P<5×10 ) that map to 611 loci, of which 145 loci are previously unreported. We define eight non-overlapping clusters of T2D signals characterised by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial, and enteroendocrine cells. We build cluster-specific partitioned genetic risk scores (GRS) in an additional 137,559 individuals of diverse ancestry, including 10,159 T2D cases, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned GRS are more strongly associated with coronary artery disease and end-stage diabetic nephropathy than an overall T2D GRS across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings demonstrate the value of integrating multi-ancestry GWAS with single-cell epigenomics to disentangle the aetiological heterogeneity driving the development and progression of T2D, which may offer a route to optimise global access to genetically-informed diabetes care.

ER - TY - JOUR T1 - Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing. JF - Nat Genet Y1 - 2023 A1 - Chen, Fang A1 - Wang, Xingyan A1 - Jang, Seon-Kyeong A1 - Quach, Bryan C A1 - Weissenkampen, J Dylan A1 - Khunsriraksakul, Chachrit A1 - Yang, Lina A1 - Sauteraud, Renan A1 - Albert, Christine M A1 - Allred, Nicholette D D A1 - Arnett, Donna K A1 - Ashley-Koch, Allison E A1 - Barnes, Kathleen C A1 - Barr, R Graham A1 - Becker, Diane M A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Blangero, John A1 - Boorgula, Meher Preethi A1 - Chasman, Daniel I A1 - Chavan, Sameer A1 - Chen, Yii-der I A1 - Chuang, Lee-Ming A1 - Correa, Adolfo A1 - Curran, Joanne E A1 - David, Sean P A1 - Fuentes, Lisa de Las A1 - Deka, Ranjan A1 - Duggirala, Ravindranath A1 - Faul, Jessica D A1 - Garrett, Melanie E A1 - Gharib, Sina A A1 - Guo, Xiuqing A1 - Hall, Michael E A1 - Hawley, Nicola L A1 - He, Jiang A1 - Hobbs, Brian D A1 - Hokanson, John E A1 - Hsiung, Chao A A1 - Hwang, Shih-Jen A1 - Hyde, Thomas M A1 - Irvin, Marguerite R A1 - Jaffe, Andrew E A1 - Johnson, Eric O A1 - Kaplan, Robert A1 - Kardia, Sharon L R A1 - Kaufman, Joel D A1 - Kelly, Tanika N A1 - Kleinman, Joel E A1 - Kooperberg, Charles A1 - Lee, I-Te A1 - Levy, Daniel A1 - Lutz, Sharon M A1 - Manichaikul, Ani W A1 - Martin, Lisa W A1 - Marx, Olivia A1 - McGarvey, Stephen T A1 - Minster, Ryan L A1 - Moll, Matthew A1 - Moussa, Karine A A1 - Naseri, Take A1 - North, Kari E A1 - Oelsner, Elizabeth C A1 - Peralta, Juan M A1 - Peyser, Patricia A A1 - Psaty, Bruce M A1 - Rafaels, Nicholas A1 - Raffield, Laura M A1 - Reupena, Muagututi'a Sefuiva A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Schwartz, David A A1 - Shadyab, Aladdin H A1 - Sheu, Wayne H-H A1 - Sims, Mario A1 - Smith, Jennifer A A1 - Sun, Xiao A1 - Taylor, Kent D A1 - Telen, Marilyn J A1 - Watson, Harold A1 - Weeks, Daniel E A1 - Weir, David R A1 - Yanek, Lisa R A1 - Young, Kendra A A1 - Young, Kristin L A1 - Zhao, Wei A1 - Hancock, Dana B A1 - Jiang, Bibo A1 - Vrieze, Scott A1 - Liu, Dajiang J KW - Biology KW - Drug Repositioning KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Polymorphism, Single Nucleotide KW - Tobacco Use KW - Transcriptome AB -

Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS. By exploiting shared phenotypic effects between ancestries and accommodating potential effect heterogeneities, TESLA improves power over other TWAS methods. When applied to tobacco use phenotypes, TESLA identified 273 new genes, up to 55% more compared with alternative TWAS methods. These hits and subsequent fine mapping using TESLA point to target genes with biological relevance. In silico drug-repurposing analyses highlight several drugs with known efficacy, including dextromethorphan and galantamine, and new drugs such as muscle relaxants that may be repurposed for treating nicotine addiction.

VL - 55 IS - 2 ER - TY - JOUR T1 - Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies. JF - Nat Genet Y1 - 2023 A1 - Li, Xihao A1 - Quick, Corbin A1 - Zhou, Hufeng A1 - Gaynor, Sheila M A1 - Liu, Yaowu A1 - Chen, Han A1 - Selvaraj, Margaret Sunitha A1 - Sun, Ryan A1 - Dey, Rounak A1 - Arnett, Donna K A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bowden, Donald W A1 - Brody, Jennifer A A1 - Cade, Brian E A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Curran, Joanne E A1 - de Vries, Paul S A1 - Duggirala, Ravindranath A1 - Freedman, Barry I A1 - Göring, Harald H H A1 - Guo, Xiuqing A1 - Haessler, Jeffrey A1 - Kalyani, Rita R A1 - Kooperberg, Charles A1 - Kral, Brian G A1 - Lange, Leslie A A1 - Manichaikul, Ani A1 - Martin, Lisa W A1 - McGarvey, Stephen T A1 - Mitchell, Braxton D A1 - Montasser, May E A1 - Morrison, Alanna C A1 - Naseri, Take A1 - O'Connell, Jeffrey R A1 - Palmer, Nicholette D A1 - Peyser, Patricia A A1 - Psaty, Bruce M A1 - Raffield, Laura M A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Reupena, Muagututi'a Sefuiva A1 - Rice, Kenneth M A1 - Rich, Stephen S A1 - Sitlani, Colleen M A1 - Smith, Jennifer A A1 - Taylor, Kent D A1 - Vasan, Ramachandran S A1 - Willer, Cristen J A1 - Wilson, James G A1 - Yanek, Lisa R A1 - Zhao, Wei A1 - Rotter, Jerome I A1 - Natarajan, Pradeep A1 - Peloso, Gina M A1 - Li, Zilin A1 - Lin, Xihong KW - Exome Sequencing KW - Genome-Wide Association Study KW - Lipids KW - Phenotype KW - Whole Genome Sequencing AB -

Meta-analysis of whole genome sequencing/whole exome sequencing (WGS/WES) studies provides an attractive solution to the problem of collecting large sample sizes for discovering rare variants associated with complex phenotypes. Existing rare variant meta-analysis approaches are not scalable to biobank-scale WGS data. Here we present MetaSTAAR, a powerful and resource-efficient rare variant meta-analysis framework for large-scale WGS/WES studies. MetaSTAAR accounts for relatedness and population structure, can analyze both quantitative and dichotomous traits and boosts the power of rare variant tests by incorporating multiple variant functional annotations. Through meta-analysis of four lipid traits in 30,138 ancestrally diverse samples from 14 studies of the Trans Omics for Precision Medicine (TOPMed) Program, we show that MetaSTAAR performs rare variant meta-analysis at scale and produces results comparable to using pooled data. Additionally, we identified several conditionally significant rare variant associations with lipid traits. We further demonstrate that MetaSTAAR is scalable to biobank-scale cohorts through meta-analysis of TOPMed WGS data and UK Biobank WES data of ~200,000 samples.

VL - 55 IS - 1 ER - TY - JOUR T1 - Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study. JF - medRxiv Y1 - 2023 A1 - Wang, Yuxuan A1 - Selvaraj, Margaret Sunitha A1 - Li, Xihao A1 - Li, Zilin A1 - Holdcraft, Jacob A A1 - Arnett, Donna K A1 - Bis, Joshua C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bowden, Donald W A1 - Cade, Brian E A1 - Carlson, Jenna C A1 - Carson, April P A1 - Chen, Yii-Der Ida A1 - Curran, Joanne E A1 - de Vries, Paul S A1 - Dutcher, Susan K A1 - Ellinor, Patrick T A1 - Floyd, James S A1 - Fornage, Myriam A1 - Freedman, Barry I A1 - Gabriel, Stacey A1 - Germer, Soren A1 - Gibbs, Richard A A1 - Guo, Xiuqing A1 - He, Jiang A1 - Heard-Costa, Nancy A1 - Hildalgo, Bertha A1 - Hou, Lifang A1 - Irvin, Marguerite R A1 - Joehanes, Roby A1 - Kaplan, Robert C A1 - Kardia, Sharon Lr A1 - Kelly, Tanika N A1 - Kim, Ryan A1 - Kooperberg, Charles A1 - Kral, Brian G A1 - Levy, Daniel A1 - Li, Changwei A1 - Liu, Chunyu A1 - Lloyd-Jone, Don A1 - Loos, Ruth Jf A1 - Mahaney, Michael C A1 - Martin, Lisa W A1 - Mathias, Rasika A A1 - Minster, Ryan L A1 - Mitchell, Braxton D A1 - Montasser, May E A1 - Morrison, Alanna C A1 - Murabito, Joanne M A1 - Naseri, Take A1 - O'Connell, Jeffrey R A1 - Palmer, Nicholette D A1 - Preuss, Michael H A1 - Psaty, Bruce M A1 - Raffield, Laura M A1 - Rao, Dabeeru C A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Rich, Stephen S A1 - Ruepena, Muagututi'a Sefuiva A1 - Sheu, Wayne H-H A1 - Smith, Jennifer A A1 - Smith, Albert A1 - Tiwari, Hemant K A1 - Tsai, Michael Y A1 - Viaud-Martinez, Karine A A1 - Wang, Zhe A1 - Yanek, Lisa R A1 - Zhao, Wei A1 - Rotter, Jerome I A1 - Lin, Xihong A1 - Natarajan, Pradeep A1 - Peloso, Gina M AB -

Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions. Large-scale whole genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess the associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with blood lipid levels (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare variant aggregate association tests using the STAAR (variant-Set Test for Association using Annotation infoRmation) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare coding variants in nearby protein coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a ±500 kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73%) were conditionally independent of common regulatory variations and rare protein coding variations at the same loci. We replicated 34 out of 61 (56%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNA, implicating new therapeutic opportunities.

ER - TY - JOUR T1 - Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus. JF - medRxiv Y1 - 2023 A1 - Kwak, Soo Heon A1 - Hernandez-Cancela, Ryan B A1 - DiCorpo, Daniel A A1 - Condon, David E A1 - Merino, Jordi A1 - Wu, Peitao A1 - Brody, Jennifer A A1 - Yao, Jie A1 - Guo, Xiuqing A1 - Ahmadizar, Fariba A1 - Meyer, Mariah A1 - Sincan, Murat A1 - Mercader, Josep M A1 - Lee, Sujin A1 - Haessler, Jeffrey A1 - Vy, Ha My T A1 - Lin, Zhaotong A1 - Armstrong, Nicole D A1 - Gu, Shaopeng A1 - Tsao, Noah L A1 - Lange, Leslie A A1 - Wang, Ningyuan A1 - Wiggins, Kerri L A1 - Trompet, Stella A1 - Liu, Simin A1 - Loos, Ruth J F A1 - Judy, Renae A1 - Schroeder, Philip H A1 - Hasbani, Natalie R A1 - Bos, Maxime M A1 - Morrison, Alanna C A1 - Jackson, Rebecca D A1 - Reiner, Alexander P A1 - Manson, JoAnn E A1 - Chaudhary, Ninad S A1 - Carmichael, Lynn K A1 - Chen, Yii-Der Ida A1 - Taylor, Kent D A1 - Ghanbari, Mohsen A1 - van Meurs, Joyce A1 - Pitsillides, Achilleas N A1 - Psaty, Bruce M A1 - Noordam, Raymond A1 - Do, Ron A1 - Park, Kyong Soo A1 - Jukema, J Wouter A1 - Kavousi, Maryam A1 - Correa, Adolfo A1 - Rich, Stephen S A1 - Damrauer, Scott M A1 - Hajek, Catherine A1 - Cho, Nam H A1 - Irvin, Marguerite R A1 - Pankow, James S A1 - Nadkarni, Girish N A1 - Sladek, Robert A1 - Goodarzi, Mark O A1 - Florez, Jose C A1 - Chasman, Daniel I A1 - Heckbert, Susan R A1 - Kooperberg, Charles A1 - Dupuis, Josée A1 - Malhotra, Rajeev A1 - de Vries, Paul S A1 - Liu, Ching-Ti A1 - Rotter, Jerome I A1 - Meigs, James B AB -

BACKGROUND: Type 2 diabetes mellitus (T2D) confers a two- to three-fold increased risk of cardiovascular disease (CVD). However, the mechanisms underlying increased CVD risk among people with T2D are only partially understood. We hypothesized that a genetic association study among people with T2D at risk for developing incident cardiovascular complications could provide insights into molecular genetic aspects underlying CVD.

METHODS: From 16 studies of the Cohorts for Heart & Aging Research in Genomic Epidemiology (CHARGE) Consortium, we conducted a multi-ancestry time-to-event genome-wide association study (GWAS) for incident CVD among people with T2D using Cox proportional hazards models. Incident CVD was defined based on a composite of coronary artery disease (CAD), stroke, and cardiovascular death that occurred at least one year after the diagnosis of T2D. Cohort-level estimated effect sizes were combined using inverse variance weighted fixed effects meta-analysis. We also tested 204 known CAD variants for association with incident CVD among patients with T2D.

RESULTS: A total of 49,230 participants with T2D were included in the analyses (31,118 European ancestries and 18,112 non-European ancestries) which consisted of 8,956 incident CVD cases over a range of mean follow-up duration between 3.2 and 33.7 years (event rate 18.2%). We identified three novel, distinct genetic loci for incident CVD among individuals with T2D that reached the threshold for genome-wide significance ( <5.0×10 ): rs147138607 (intergenic variant between and ) with a hazard ratio (HR) 1.23, 95% confidence interval (CI) 1.15 - 1.32, =3.6×10 , rs11444867 (intergenic variant near ) with HR 1.89, 95% CI 1.52 - 2.35, =9.9×10 , and rs335407 (intergenic variant between and ) HR 1.25, 95% CI 1.16 - 1.35, =1.5×10 . Among 204 known CAD loci, 32 were associated with incident CVD in people with T2D with <0.05, and 5 were significant after Bonferroni correction ( <0.00024, 0.05/204). A polygenic score of these 204 variants was significantly associated with incident CVD with HR 1.14 (95% CI 1.12 - 1.16) per 1 standard deviation increase ( =1.0×10 ).

CONCLUSIONS: The data point to novel and known genomic regions associated with incident CVD among individuals with T2D.

CLINICAL PERSPECTIVE: We conducted a large-scale multi-ancestry time-to-event GWAS to identify genetic variants associated with CVD among people with T2D. Three variants were significantly associated with incident CVD in people with T2D: rs147138607 (intergenic variant between and ), rs11444867 (intergenic variant near ), and rs335407 (intergenic variant between and ). A polygenic score composed of known CAD variants identified in the general population was significantly associated with the risk of CVD in people with T2D. There are genetic risk factors specific to T2D that could at least partially explain the excess risk of CVD in people with T2D.In addition, we show that people with T2D have enrichment of known CAD association signals which could also explain the excess risk of CVD.

ER - TY - JOUR T1 - Type 2 Diabetes Modifies the Association of CAD Genomic Risk Variants With Subclinical Atherosclerosis. JF - Circ Genom Precis Med Y1 - 2023 A1 - Hasbani, Natalie R A1 - Westerman, Kenneth E A1 - Heon Kwak, Soo A1 - Chen, Han A1 - Li, Xihao A1 - DiCorpo, Daniel A1 - Wessel, Jennifer A1 - Bis, Joshua C A1 - Sarnowski, Chloe A1 - Wu, Peitao A1 - Bielak, Lawrence F A1 - Guo, Xiuqing A1 - Heard-Costa, Nancy A1 - Kinney, Gregory A1 - Mahaney, Michael C A1 - Montasser, May E A1 - Palmer, Nicholette D A1 - Raffield, Laura M A1 - Terry, James G A1 - Yanek, Lisa R A1 - Bon, Jessica A1 - Bowden, Donald W A1 - Brody, Jennifer A A1 - Duggirala, Ravindranath A1 - Jacobs, David R A1 - Kalyani, Rita R A1 - Lange, Leslie A A1 - Mitchell, Braxton D A1 - Smith, Jennifer A A1 - Taylor, Kent D A1 - Carson, April A1 - Curran, Joanne E A1 - Fornage, Myriam A1 - Freedman, Barry I A1 - Gabriel, Stacey A1 - Gibbs, Richard A A1 - Gupta, Namrata A1 - Kardia, Sharon L R A1 - Kral, Brian G A1 - Momin, Zeineen A1 - Newman, Anne B A1 - Post, Wendy S A1 - Viaud-Martinez, Karine A A1 - Young, Kendra A A1 - Becker, Lewis C A1 - Bertoni, Alain A1 - Blangero, John A1 - Carr, John J A1 - Pratte, Katherine A1 - Psaty, Bruce M A1 - Rich, Stephen S A1 - Wu, Joseph C A1 - Malhotra, Rajeev A1 - Peyser, Patricia A A1 - Morrison, Alanna C A1 - Vasan, Ramachandran S A1 - Lin, Xihong A1 - Rotter, Jerome I A1 - Meigs, James B A1 - Manning, Alisa K A1 - de Vries, Paul S AB -

BACKGROUND: Individuals with type 2 diabetes (T2D) have an increased risk of coronary artery disease (CAD), but questions remain about the underlying pathology. Identifying which CAD loci are modified by T2D in the development of subclinical atherosclerosis (coronary artery calcification [CAC], carotid intima-media thickness, or carotid plaque) may improve our understanding of the mechanisms leading to the increased CAD in T2D.

METHODS: We compared the common and rare variant associations of known CAD loci from the literature on CAC, carotid intima-media thickness, and carotid plaque in up to 29 670 participants, including up to 24 157 normoglycemic controls and 5513 T2D cases leveraging whole-genome sequencing data from the Trans-Omics for Precision Medicine program. We included first-order T2D interaction terms in each model to determine whether CAD loci were modified by T2D. The genetic main and interaction effects were assessed using a joint test to determine whether a CAD variant, or gene-based rare variant set, was associated with the respective subclinical atherosclerosis measures and then further determined whether these loci had a significant interaction test.

RESULTS: Using a Bonferroni-corrected significance threshold of <1.6×10, we identified 3 genes (, , and ) associated with CAC and 2 genes ( and ) associated with carotid intima-media thickness and carotid plaque, respectively, through gene-based rare variant set analysis. Both and also had significantly different associations for CAC in T2D cases versus controls. No significant interaction tests were identified through the candidate single-variant analysis.

CONCLUSIONS: These results highlight T2D as an important modifier of rare variant associations in CAD loci with CAC.

ER - TY - JOUR T1 - Whole genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles. JF - medRxiv Y1 - 2023 A1 - Huffman, Jennifer E A1 - Nicolas, Jayna A1 - Hahn, Julie A1 - Heath, Adam S A1 - Raffield, Laura M A1 - Yanek, Lisa R A1 - Brody, Jennifer A A1 - Thibord, Florian A1 - Almasy, Laura A1 - Bartz, Traci M A1 - Bielak, Lawrence F A1 - Bowler, Russell P A1 - Carrasquilla, Germán D A1 - Chasman, Daniel I A1 - Chen, Ming-Huei A1 - Emmert, David B A1 - Ghanbari, Mohsen A1 - Haessle, Jeffery A1 - Hottenga, Jouke-Jan A1 - Kleber, Marcus E A1 - Le, Ngoc-Quynh A1 - Lee, Jiwon A1 - Lewis, Joshua P A1 - Li-Gao, Ruifang A1 - Luan, Jian'an A1 - Malmberg, Anni A1 - Mangino, Massimo A1 - Marioni, Riccardo E A1 - Martinez-Perez, Angel A1 - Pankratz, Nathan A1 - Polasek, Ozren A1 - Richmond, Anne A1 - Rodriguez, Benjamin At A1 - Rotter, Jerome I A1 - Steri, Maristella A1 - Suchon, Pierre A1 - Trompet, Stella A1 - Weiss, Stefan A1 - Zare, Marjan A1 - Auer, Paul A1 - Cho, Michael H A1 - Christofidou, Paraskevi A1 - Davies, Gail A1 - de Geus, Eco A1 - Deleuze, Jean-Francois A1 - Delgado, Graciela E A1 - Ekunwe, Lynette A1 - Faraday, Nauder A1 - Gögele, Martin A1 - Greinacher, Andreas A1 - He, Gao A1 - Howard, Tom A1 - Joshi, Peter K A1 - Kilpeläinen, Tuomas O A1 - Lahti, Jari A1 - Linneberg, Allan A1 - Naitza, Silvia A1 - Noordam, Raymond A1 - Paüls-Vergés, Ferran A1 - Rich, Stephen S A1 - Rosendaal, Frits R A1 - Rudan, Igor A1 - Ryan, Kathleen A A1 - Souto, Juan Carlos A1 - van Rooij, Frank Ja A1 - Wang, Heming A1 - Zhao, Wei A1 - Becker, Lewis C A1 - Beswick, Andrew A1 - Brown, Michael R A1 - Cade, Brian E A1 - Campbell, Harry A1 - Cho, Kelly A1 - Crapo, James D A1 - Curran, Joanne E A1 - de Maat, Moniek Pm A1 - Doyle, Margaret A1 - Elliott, Paul A1 - Floyd, James S A1 - Fuchsberger, Christian A1 - Grarup, Niels A1 - Guo, Xiuqing A1 - Harris, Sarah E A1 - Hou, Lifang A1 - Kolcic, Ivana A1 - Kooperberg, Charles A1 - Menni, Cristina A1 - Nauck, Matthias A1 - O'Connell, Jeffrey R A1 - Orrù, Valeria A1 - Psaty, Bruce M A1 - Räikkönen, Katri A1 - Smith, Jennifer A A1 - Soria, José Manuel A1 - Stott, David J A1 - van Hylckama Vlieg, Astrid A1 - Watkins, Hugh A1 - Willemsen, Gonneke A1 - Wilson, Peter A1 - Ben-Shlomo, Yoav A1 - Blangero, John A1 - Boomsma, Dorret A1 - Cox, Simon R A1 - Dehghan, Abbas A1 - Eriksson, Johan G A1 - Fiorillo, Edoardo A1 - Fornage, Myriam A1 - Hansen, Torben A1 - Hayward, Caroline A1 - Ikram, M Arfan A1 - Jukema, J Wouter A1 - Kardia, Sharon Lr A1 - Lange, Leslie A A1 - März, Winfried A1 - Mathias, Rasika A A1 - Mitchell, Braxton D A1 - Mook-Kanamori, Dennis O A1 - Morange, Pierre-Emmanuel A1 - Pedersen, Oluf A1 - Pramstaller, Peter P A1 - Redline, Susan A1 - Reiner, Alexander A1 - Ridker, Paul M A1 - Silverman, Edwin K A1 - Spector, Tim D A1 - Völker, Uwe A1 - Wareham, Nick A1 - Wilson, James F A1 - Yao, Jie A1 - Trégouët, David-Alexandre A1 - Johnson, Andrew D A1 - Wolberg, Alisa S A1 - de Vries, Paul S A1 - Sabater-Lleal, Maria A1 - Morrison, Alanna C A1 - Smith, Nicholas L AB -

UNLABELLED: Genetic studies have identified numerous regions associated with plasma fibrinogen levels in Europeans, yet missing heritability and limited inclusion of non-Europeans necessitates further studies with improved power and sensitivity. Compared with array-based genotyping, whole genome sequencing (WGS) data provides better coverage of the genome and better representation of non-European variants. To better understand the genetic landscape regulating plasma fibrinogen levels, we meta-analyzed WGS data from the NHLBI's Trans-Omics for Precision Medicine (TOPMed) program (n=32,572), with array-based genotype data from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium (n=131,340) imputed to the TOPMed or Haplotype Reference Consortium panel. We identified 18 loci that have not been identified in prior genetic studies of fibrinogen. Of these, four are driven by common variants of small effect with reported MAF at least 10% higher in African populations. Three ( , and signals contain predicted deleterious missense variants. Two loci, and , each harbor two conditionally distinct, non-coding variants. The gene region encoding the protein chain subunits ( ), contains 7 distinct signals, including one novel signal driven by rs28577061, a variant common (MAF=0.180) in African reference panels but extremely rare (MAF=0.008) in Europeans. Through phenome-wide association studies in the VA Million Veteran Program, we found associations between fibrinogen polygenic risk scores and thrombotic and inflammatory disease phenotypes, including an association with gout. Our findings demonstrate the utility of WGS to augment genetic discovery in diverse populations and offer new insights for putative mechanisms of fibrinogen regulation.

KEY POINTS: Largest and most diverse genetic study of plasma fibrinogen identifies 54 regions (18 novel), housing 69 conditionally distinct variants (20 novel).Sufficient power achieved to identify signal driven by African population variant.Links to (1) liver enzyme, blood cell and lipid genetic signals, (2) liver regulatory elements, and (3) thrombotic and inflammatory disease.

ER - TY - JOUR T1 - Whole genome sequence analysis of apparent treatment resistant hypertension status in participants from the Trans-Omics for Precision Medicine program. JF - Front Genet Y1 - 2023 A1 - Armstrong, Nicole D A1 - Srinivasasainagendra, Vinodh A1 - Ammous, Farah A1 - Assimes, Themistocles L A1 - Beitelshees, Amber L A1 - Brody, Jennifer A1 - Cade, Brian E A1 - Ida Chen, Yii-Der A1 - Chen, Han A1 - de Vries, Paul S A1 - Floyd, James S A1 - Franceschini, Nora A1 - Guo, Xiuqing A1 - Hellwege, Jacklyn N A1 - House, John S A1 - Hwu, Chii-Min A1 - Kardia, Sharon L R A1 - Lange, Ethan M A1 - Lange, Leslie A A1 - McDonough, Caitrin W A1 - Montasser, May E A1 - O'Connell, Jeffrey R A1 - Shuey, Megan M A1 - Sun, Xiao A1 - Tanner, Rikki M A1 - Wang, Zhe A1 - Zhao, Wei A1 - Carson, April P A1 - Edwards, Todd L A1 - Kelly, Tanika N A1 - Kenny, Eimear E A1 - Kooperberg, Charles A1 - Loos, Ruth J F A1 - Morrison, Alanna C A1 - Motsinger-Reif, Alison A1 - Psaty, Bruce M A1 - Rao, Dabeeru C A1 - Redline, Susan A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Smith, Jennifer A A1 - Smith, Albert V A1 - Irvin, Marguerite R A1 - Arnett, Donna K AB -

Apparent treatment-resistant hypertension (aTRH) is characterized by the use of four or more antihypertensive (AHT) classes to achieve blood pressure (BP) control. In the current study, we conducted single-variant and gene-based analyses of aTRH among individuals from 12 Trans-Omics for Precision Medicine cohorts with whole-genome sequencing data. Cases were defined as individuals treated for hypertension (HTN) taking three different AHT classes, with average systolic BP ≥ 140 or diastolic BP ≥ 90 mmHg, or four or more medications regardless of BP ( = 1,705). A normotensive control group was defined as individuals with BP < 140/90 mmHg ( = 22,079), not on AHT medication. A second control group comprised individuals who were treatment responsive on one AHT medication with BP < 140/ 90 mmHg ( = 5,424). Logistic regression with kinship adjustment using the Scalable and Accurate Implementation of Generalized mixed models (SAIGE) was performed, adjusting for age, sex, and genetic ancestry. We assessed variants using SKAT-O in rare-variant analyses. Single-variant and gene-based tests were conducted in a pooled multi-ethnicity stratum, as well as self-reported ethnic/racial strata (European and African American). One variant in the known HTN locus, , was a top finding in the multi-ethnic analysis ( = 8.23E-07) for the normotensive control group [rs12476527, odds ratio (95% confidence interval) = 0.80 (0.74-0.88)]. This variant was replicated in the Vanderbilt University Medical Center's DNA repository data. Aggregate gene-based signals included the genes and . Additional work validating these loci in larger, more diverse populations, is warranted to determine whether these regions influence the pathobiology of aTRH.

VL - 14 ER - TY - JOUR T1 - WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE. JF - medRxiv Y1 - 2023 A1 - Zhang, Xinruo A1 - Brody, Jennifer A A1 - Graff, Mariaelisa A1 - Highland, Heather M A1 - Chami, Nathalie A1 - Xu, Hanfei A1 - Wang, Zhe A1 - Ferrier, Kendra A1 - Chittoor, Geetha A1 - Josyula, Navya S A1 - Li, Xihao A1 - Li, Zilin A1 - Allison, Matthew A A1 - Becker, Diane M A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Boorgula, Meher Preethi A1 - Bowden, Donald W A1 - Broome, Jai G A1 - Buth, Erin J A1 - Carlson, Christopher S A1 - Chang, Kyong-Mi A1 - Chavan, Sameer A1 - Chiu, Yen-Feng A1 - Chuang, Lee-Ming A1 - Conomos, Matthew P A1 - DeMeo, Dawn L A1 - Du, Margaret A1 - Duggirala, Ravindranath A1 - Eng, Celeste A1 - Fohner, Alison E A1 - Freedman, Barry I A1 - Garrett, Melanie E A1 - Guo, Xiuqing A1 - Haiman, Chris A1 - Heavner, Benjamin D A1 - Hidalgo, Bertha A1 - Hixson, James E A1 - Ho, Yuk-Lam A1 - Hobbs, Brian D A1 - Hu, Donglei A1 - Hui, Qin A1 - Hwu, Chii-Min A1 - Jackson, Rebecca D A1 - Jain, Deepti A1 - Kalyani, Rita R A1 - Kardia, Sharon L R A1 - Kelly, Tanika N A1 - Lange, Ethan M A1 - LeNoir, Michael A1 - Li, Changwei A1 - Marchand, Loic Le A1 - McDonald, Merry-Lynn N A1 - McHugh, Caitlin P A1 - Morrison, Alanna C A1 - Naseri, Take A1 - O'Connell, Jeffrey A1 - O'Donnell, Christopher J A1 - Palmer, Nicholette D A1 - Pankow, James S A1 - Perry, James A A1 - Peters, Ulrike A1 - Preuss, Michael H A1 - Rao, D C A1 - Regan, Elizabeth A A1 - Reupena, Sefuiva M A1 - Roden, Dan M A1 - Rodriguez-Santana, Jose A1 - Sitlani, Colleen M A1 - Smith, Jennifer A A1 - Tiwari, Hemant K A1 - Vasan, Ramachandran S A1 - Wang, Zeyuan A1 - Weeks, Daniel E A1 - Wessel, Jennifer A1 - Wiggins, Kerri L A1 - Wilkens, Lynne R A1 - Wilson, Peter W F A1 - Yanek, Lisa R A1 - Yoneda, Zachary T A1 - Zhao, Wei A1 - Zöllner, Sebastian A1 - Arnett, Donna K A1 - Ashley-Koch, Allison E A1 - Barnes, Kathleen C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Burchard, Esteban G A1 - Carson, April P A1 - Chasman, Daniel I A1 - Chen, Yii-Der Ida A1 - Curran, Joanne E A1 - Fornage, Myriam A1 - Gordeuk, Victor R A1 - He, Jiang A1 - Heckbert, Susan R A1 - Hou, Lifang A1 - Irvin, Marguerite R A1 - Kooperberg, Charles A1 - Minster, Ryan L A1 - Mitchell, Braxton D A1 - Nouraie, Mehdi A1 - Psaty, Bruce M A1 - Raffield, Laura M A1 - Reiner, Alexander P A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Shoemaker, M Benjamin A1 - Smith, Nicholas L A1 - Taylor, Kent D A1 - Telen, Marilyn J A1 - Weiss, Scott T A1 - Zhang, Yingze A1 - Costa, Nancy Heard- A1 - Sun, Yan V A1 - Lin, Xihong A1 - Cupples, L Adrienne A1 - Lange, Leslie A A1 - Liu, Ching-Ti A1 - Loos, Ruth J F A1 - North, Kari E A1 - Justice, Anne E AB -

Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51% were of non-European population groups. We discovered 18 BMI-associated signals ( < 5 × 10 ). Notably, we identified and replicated a novel low frequency single nucleotide polymorphism (SNP) in that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the and loci. Our work demonstrates the benefits of combining WGS and diverse cohorts in expanding current catalog of variants and genes confer risk for obesity, bringing us one step closer to personalized medicine.

ER - TY - JOUR T1 - Association analysis of mitochondrial DNA heteroplasmic variants: methods and application. JF - medRxiv Y1 - 2024 A1 - Sun, Xianbang A1 - Bulekova, Katia A1 - Yang, Jian A1 - Lai, Meng A1 - Pitsillides, Achilleas N A1 - Liu, Xue A1 - Zhang, Yuankai A1 - Guo, Xiuqing A1 - Yong, Qian A1 - Raffield, Laura M A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Abecasis, Goncalo A1 - Carson, April P A1 - Vasan, Ramachandran S A1 - Bis, Joshua C A1 - Psaty, Bruce M A1 - Boerwinkle, Eric A1 - Fitzpatrick, Annette L A1 - Satizabal, Claudia L A1 - Arking, Dan E A1 - Ding, Jun A1 - Levy, Daniel A1 - Liu, Chunyu AB -

We rigorously assessed a comprehensive association testing framework for heteroplasmy, employing both simulated and real-world data. This framework employed a variant allele fraction (VAF) threshold and harnessed multiple gene-based tests for robust identification and association testing of heteroplasmy. Our simulation studies demonstrated that gene-based tests maintained an appropriate type I error rate at α=0.001. Notably, when 5% or more heteroplasmic variants within a target region were linked to an outcome, burden-extension tests (including the adaptive burden test, variable threshold burden test, and z-score weighting burden test) outperformed the sequence kernel association test (SKAT) and the original burden test. Applying this framework, we conducted association analyses on whole-blood derived heteroplasmy in 17,507 individuals of African and European ancestries (31% of African Ancestry, mean age of 62, with 58% women) with whole genome sequencing data. We performed both cohort- and ancestry-specific association analyses, followed by meta-analysis on bothpooled samples and within each ancestry group. Our results suggest that mtDNA-Enco ded genes/regions are likely to exhibit varying rates in somatic aging, with the notably strong associations observed between heteroplasmy in the and genes ( <0.001) and advance aging by the Original Burden test. In contrast, SKAT identified significant associations ( <0.001) between diabetes and the aggregated effects of heteroplasmy in several protein-coding genes. Further research is warranted to validate these findings. In summary, our proposed statistical framework represents a valuable tool for facilitating association testing of heteroplasmy with disease traits in large human populations.

ER - TY - JOUR T1 - Familial Hypercholesterolemia Variant and Cardiovascular Risk in Individuals With Elevated Cholesterol. JF - JAMA Cardiol Y1 - 2024 A1 - Zhang, Yiyi A1 - Dron, Jacqueline S A1 - Bellows, Brandon K A1 - Khera, Amit V A1 - Liu, Junxiu A1 - Balte, Pallavi P A1 - Oelsner, Elizabeth C A1 - Amr, Sami Samir A1 - Lebo, Matthew S A1 - Nagy, Anna A1 - Peloso, Gina M A1 - Natarajan, Pradeep A1 - Rotter, Jerome I A1 - Willer, Cristen A1 - Boerwinkle, Eric A1 - Ballantyne, Christie M A1 - Lutsey, Pamela L A1 - Fornage, Myriam A1 - Lloyd-Jones, Donald M A1 - Hou, Lifang A1 - Psaty, Bruce M A1 - Bis, Joshua C A1 - Floyd, James S A1 - Vasan, Ramachandran S A1 - Heard-Costa, Nancy L A1 - Carson, April P A1 - Hall, Michael E A1 - Rich, Stephen S A1 - Guo, Xiuqing A1 - Kazi, Dhruv S A1 - de Ferranti, Sarah D A1 - Moran, Andrew E AB -

IMPORTANCE: Familial hypercholesterolemia (FH) is a genetic disorder that often results in severely high low-density lipoprotein cholesterol (LDL-C) and high risk of premature coronary heart disease (CHD). However, the impact of FH variants on CHD risk among individuals with moderately elevated LDL-C is not well quantified.

OBJECTIVE: To assess CHD risk associated with FH variants among individuals with moderately (130-189 mg/dL) and severely (≥190 mg/dL) elevated LDL-C and to quantify excess CHD deaths attributable to FH variants in US adults.

DESIGN, SETTING, AND PARTICIPANTS: A total of 21 426 individuals without preexisting CHD from 6 US cohort studies (Atherosclerosis Risk in Communities study, Coronary Artery Risk Development in Young Adults study, Cardiovascular Health Study, Framingham Heart Study Offspring cohort, Jackson Heart Study, and Multi-Ethnic Study of Atherosclerosis) were included, 63 of whom had an FH variant. Data were collected from 1971 to 2018, and the median (IQR) follow-up was 18 (13-28) years. Data were analyzed from March to May 2023.

EXPOSURES: LDL-C, cumulative past LDL-C, FH variant status.

MAIN OUTCOMES AND MEASURES: Cox proportional hazards models estimated associations between FH variants and incident CHD. The Cardiovascular Disease Policy Model projected excess CHD deaths associated with FH variants in US adults.

RESULTS: Of the 21 426 individuals without preexisting CHD (mean [SD] age 52.1 [15.5] years; 12 041 [56.2%] female), an FH variant was found in 22 individuals with moderately elevated LDL-C (0.3%) and in 33 individuals with severely elevated LDL-C (2.5%). The adjusted hazard ratios for incident CHD comparing those with and without FH variants were 2.9 (95% CI, 1.4-6.0) and 2.6 (95% CI, 1.4-4.9) among individuals with moderately and severely elevated LDL-C, respectively. The association between FH variants and CHD was slightly attenuated when further adjusting for baseline LDL-C level, whereas the association was no longer statistically significant after adjusting for cumulative past LDL-C exposure. Among US adults 20 years and older with no history of CHD and LDL-C 130 mg/dL or higher, more than 417 000 carry an FH variant and were projected to experience more than 12 000 excess CHD deaths in those with moderately elevated LDL-C and 15 000 in those with severely elevated LDL-C compared with individuals without an FH variant.

CONCLUSIONS AND RELEVANCE: In this pooled cohort study, the presence of FH variants was associated with a 2-fold higher CHD risk, even when LDL-C was only moderately elevated. The increased CHD risk appeared to be largely explained by the higher cumulative LDL-C exposure in individuals with an FH variant compared to those without. Further research is needed to assess the value of adding genetic testing to traditional phenotypic FH screening.

ER - TY - JOUR T1 - Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. 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Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

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