%0 Journal Article %J Nat Genet %D 2009 %T Genome-wide association study of blood pressure and hypertension. %A Levy, Daniel %A Ehret, Georg B %A Rice, Kenneth %A Verwoert, Germaine C %A Launer, Lenore J %A Dehghan, Abbas %A Glazer, Nicole L %A Morrison, Alanna C %A Johnson, Andrew D %A Aspelund, Thor %A Aulchenko, Yurii %A Lumley, Thomas %A Köttgen, Anna %A Vasan, Ramachandran S %A Rivadeneira, Fernando %A Eiriksdottir, Gudny %A Guo, Xiuqing %A Arking, Dan E %A Mitchell, Gary F %A Mattace-Raso, Francesco U S %A Smith, Albert V %A Taylor, Kent %A Scharpf, Robert B %A Hwang, Shih-Jen %A Sijbrands, Eric J G %A Bis, Joshua %A Harris, Tamara B %A Ganesh, Santhi K %A O'Donnell, Christopher J %A Hofman, Albert %A Rotter, Jerome I %A Coresh, Josef %A Benjamin, Emelia J %A Uitterlinden, André G %A Heiss, Gerardo %A Fox, Caroline S %A Witteman, Jacqueline C M %A Boerwinkle, Eric %A Wang, Thomas J %A Gudnason, Vilmundur %A Larson, Martin G %A Chakravarti, Aravinda %A Psaty, Bruce M %A van Duijn, Cornelia M %K Blood Pressure %K Cell Line %K Chromosome Mapping %K Chromosomes, Human %K Diastole %K Gene Expression Regulation %K Genetic Association Studies %K Genome-Wide Association Study %K Humans %K Hypertension %K Liver %K Lymphocytes %K Meta-Analysis as Topic %K Odds Ratio %K Phenotype %K Prevalence %K Risk Assessment %K Systole %X

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.

%B Nat Genet %V 41 %P 677-87 %8 2009 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/19430479?dopt=Abstract %R 10.1038/ng.384 %0 Journal Article %J Nat Genet %D 2009 %T Multiple loci associated with indices of renal function and chronic kidney disease. %A Köttgen, Anna %A Glazer, Nicole L %A Dehghan, Abbas %A Hwang, Shih-Jen %A Katz, Ronit %A Li, Man %A Yang, Qiong %A Gudnason, Vilmundur %A Launer, Lenore J %A Harris, Tamara B %A Smith, Albert V %A Arking, Dan E %A Astor, Brad C %A Boerwinkle, Eric %A Ehret, Georg B %A Ruczinski, Ingo %A Scharpf, Robert B %A Chen, Yii-Der Ida %A de Boer, Ian H %A Haritunians, Talin %A Lumley, Thomas %A Sarnak, Mark %A Siscovick, David %A Benjamin, Emelia J %A Levy, Daniel %A Upadhyay, Ashish %A Aulchenko, Yurii S %A Hofman, Albert %A Rivadeneira, Fernando %A Uitterlinden, André G %A van Duijn, Cornelia M %A Chasman, Daniel I %A Paré, Guillaume %A Ridker, Paul M %A Kao, W H Linda %A Witteman, Jacqueline C %A Coresh, Josef %A Shlipak, Michael G %A Fox, Caroline S %K Chromosome Mapping %K Cohort Studies %K Genetic Variation %K Genome-Wide Association Study %K Glomerular Filtration Rate %K Humans %K Kidney %K Kidney Failure, Chronic %K Meta-Analysis as Topic %K Mucoproteins %K Netherlands %K Polymorphism, Single Nucleotide %K Prevalence %K Uromodulin %X

Chronic kidney disease (CKD) has a heritable component and is an important global public health problem because of its high prevalence and morbidity. We conducted genome-wide association studies (GWAS) to identify susceptibility loci for glomerular filtration rate, estimated by serum creatinine (eGFRcrea) and cystatin C (eGFRcys), and CKD (eGFRcrea < 60 ml/min/1.73 m(2)) in European-ancestry participants of four population-based cohorts (ARIC, CHS, FHS, RS; n = 19,877; 2,388 CKD cases), and tested for replication in 21,466 participants (1,932 CKD cases). We identified significant SNP associations (P < 5 × 10(-8)) with CKD at the UMOD locus, with eGFRcrea at UMOD, SHROOM3 and GATM-SPATA5L1, and with eGFRcys at CST and STC1. UMOD encodes the most common protein in human urine, Tamm-Horsfall protein, and rare mutations in UMOD cause mendelian forms of kidney disease. Our findings provide new insights into CKD pathogenesis and underscore the importance of common genetic variants influencing renal function and disease.

%B Nat Genet %V 41 %P 712-7 %8 2009 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/19430482?dopt=Abstract %R 10.1038/ng.377 %0 Journal Article %J Nat Genet %D 2009 %T Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium. %A Ganesh, Santhi K %A Zakai, Neil A %A van Rooij, Frank J A %A Soranzo, Nicole %A Smith, Albert V %A Nalls, Michael A %A Chen, Ming-Huei %A Köttgen, Anna %A Glazer, Nicole L %A Dehghan, Abbas %A Kuhnel, Brigitte %A Aspelund, Thor %A Yang, Qiong %A Tanaka, Toshiko %A Jaffe, Andrew %A Bis, Joshua C M %A Verwoert, Germaine C %A Teumer, Alexander %A Fox, Caroline S %A Guralnik, Jack M %A Ehret, Georg B %A Rice, Kenneth %A Felix, Janine F %A Rendon, Augusto %A Eiriksdottir, Gudny %A Levy, Daniel %A Patel, Kushang V %A Boerwinkle, Eric %A Rotter, Jerome I %A Hofman, Albert %A Sambrook, Jennifer G %A Hernandez, Dena G %A Zheng, Gang %A Bandinelli, Stefania %A Singleton, Andrew B %A Coresh, Josef %A Lumley, Thomas %A Uitterlinden, André G %A Vangils, Janine M %A Launer, Lenore J %A Cupples, L Adrienne %A Oostra, Ben A %A Zwaginga, Jaap-Jan %A Ouwehand, Willem H %A Thein, Swee-Lay %A Meisinger, Christa %A Deloukas, Panos %A Nauck, Matthias %A Spector, Tim D %A Gieger, Christian %A Gudnason, Vilmundur %A van Duijn, Cornelia M %A Psaty, Bruce M %A Ferrucci, Luigi %A Chakravarti, Aravinda %A Greinacher, Andreas %A O'Donnell, Christopher J %A Witteman, Jacqueline C M %A Furth, Susan %A Cushman, Mary %A Harris, Tamara B %A Lin, Jing-Ping %K Blood Pressure %K Cell Line %K Cohort Studies %K Endothelial Cells %K Erythrocytes %K Gene Expression %K Genome, Human %K Genome-Wide Association Study %K Humans %K Hypertension %K Phenotype %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %X

Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.

%B Nat Genet %V 41 %P 1191-8 %8 2009 Nov %G eng %N 11 %1 http://www.ncbi.nlm.nih.gov/pubmed/19862010?dopt=Abstract %R 10.1038/ng.466 %0 Journal Article %J PLoS Genet %D 2009 %T NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium. %A Heard-Costa, Nancy L %A Zillikens, M Carola %A Monda, Keri L %A Johansson, Asa %A Harris, Tamara B %A Fu, Mao %A Haritunians, Talin %A Feitosa, Mary F %A Aspelund, Thor %A Eiriksdottir, Gudny %A Garcia, Melissa %A Launer, Lenore J %A Smith, Albert V %A Mitchell, Braxton D %A McArdle, Patrick F %A Shuldiner, Alan R %A Bielinski, Suzette J %A Boerwinkle, Eric %A Brancati, Fred %A Demerath, Ellen W %A Pankow, James S %A Arnold, Alice M %A Chen, Yii-Der Ida %A Glazer, Nicole L %A McKnight, Barbara %A Psaty, Bruce M %A Rotter, Jerome I %A Amin, Najaf %A Campbell, Harry %A Gyllensten, Ulf %A Pattaro, Cristian %A Pramstaller, Peter P %A Rudan, Igor %A Struchalin, Maksim %A Vitart, Veronique %A Gao, Xiaoyi %A Kraja, Aldi %A Province, Michael A %A Zhang, Qunyuan %A Atwood, Larry D %A Dupuis, Josée %A Hirschhorn, Joel N %A Jaquish, Cashell E %A O'Donnell, Christopher J %A Vasan, Ramachandran S %A White, Charles C %A Aulchenko, Yurii S %A Estrada, Karol %A Hofman, Albert %A Rivadeneira, Fernando %A Uitterlinden, André G %A Witteman, Jacqueline C M %A Oostra, Ben A %A Kaplan, Robert C %A Gudnason, Vilmundur %A O'Connell, Jeffrey R %A Borecki, Ingrid B %A van Duijn, Cornelia M %A Cupples, L Adrienne %A Fox, Caroline S %A North, Kari E %K Aged %K Body Mass Index %K Cohort Studies %K European Continental Ancestry Group %K Female %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Male %K Middle Aged %K Nerve Tissue Proteins %K Obesity %K Polymorphism, Single Nucleotide %K Waist Circumference %X

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

%B PLoS Genet %V 5 %P e1000539 %8 2009 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/19557197?dopt=Abstract %R 10.1371/journal.pgen.1000539 %0 Journal Article %J Nat Genet %D 2009 %T Variants in ZFHX3 are associated with atrial fibrillation in individuals of European ancestry. %A Benjamin, Emelia J %A Rice, Kenneth M %A Arking, Dan E %A Pfeufer, Arne %A van Noord, Charlotte %A Smith, Albert V %A Schnabel, Renate B %A Bis, Joshua C %A Boerwinkle, Eric %A Sinner, Moritz F %A Dehghan, Abbas %A Lubitz, Steven A %A D'Agostino, Ralph B %A Lumley, Thomas %A Ehret, Georg B %A Heeringa, Jan %A Aspelund, Thor %A Newton-Cheh, Christopher %A Larson, Martin G %A Marciante, Kristin D %A Soliman, Elsayed Z %A Rivadeneira, Fernando %A Wang, Thomas J %A Eiriksdottir, Gudny %A Levy, Daniel %A Psaty, Bruce M %A Li, Man %A Chamberlain, Alanna M %A Hofman, Albert %A Vasan, Ramachandran S %A Harris, Tamara B %A Rotter, Jerome I %A Kao, W H Linda %A Agarwal, Sunil K %A Stricker, Bruno H Ch %A Wang, Ke %A Launer, Lenore J %A Smith, Nicholas L %A Chakravarti, Aravinda %A Uitterlinden, André G %A Wolf, Philip A %A Sotoodehnia, Nona %A Köttgen, Anna %A van Duijn, Cornelia M %A Meitinger, Thomas %A Mueller, Martina %A Perz, Siegfried %A Steinbeck, Gerhard %A Wichmann, H-Erich %A Lunetta, Kathryn L %A Heckbert, Susan R %A Gudnason, Vilmundur %A Alonso, Alvaro %A Kääb, Stefan %A Ellinor, Patrick T %A Witteman, Jacqueline C M %K Atrial Fibrillation %K Chromosomes, Human, Pair 16 %K European Continental Ancestry Group %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Homeodomain Proteins %K Humans %K Meta-Analysis as Topic %K Mutation %K Polymorphism, Single Nucleotide %K Reproducibility of Results %X

We conducted meta-analyses of genome-wide association studies for atrial fibrillation (AF) in participants from five community-based cohorts. Meta-analyses of 896 prevalent (15,768 referents) and 2,517 incident (21,337 referents) AF cases identified a new locus for AF (ZFHX3, rs2106261, risk ratio RR = 1.19; P = 2.3 x 10(-7)). We replicated this association in an independent cohort from the German AF Network (odds ratio = 1.44; P = 1.6 x 10(-11); combined RR = 1.25; combined P = 1.8 x 10(-15)).

%B Nat Genet %V 41 %P 879-81 %8 2009 Aug %G eng %N 8 %1 http://www.ncbi.nlm.nih.gov/pubmed/19597492?dopt=Abstract %R 10.1038/ng.416 %0 Journal Article %J Nature %D 2010 %T Biological, clinical and population relevance of 95 loci for blood lipids. %A Teslovich, Tanya M %A Musunuru, Kiran %A Smith, Albert V %A Edmondson, Andrew C %A Stylianou, Ioannis M %A Koseki, Masahiro %A Pirruccello, James P %A Ripatti, Samuli %A Chasman, Daniel I %A Willer, Cristen J %A Johansen, Christopher T %A Fouchier, Sigrid W %A Isaacs, Aaron %A Peloso, Gina M %A Barbalic, Maja %A Ricketts, Sally L %A Bis, Joshua C %A Aulchenko, Yurii S %A Thorleifsson, Gudmar %A Feitosa, Mary F %A Chambers, John %A Orho-Melander, Marju %A Melander, Olle %A Johnson, Toby %A Li, Xiaohui %A Guo, Xiuqing %A Li, Mingyao %A Shin Cho, Yoon %A Jin Go, Min %A Jin Kim, Young %A Lee, Jong-Young %A Park, Taesung %A Kim, Kyunga %A Sim, Xueling %A Twee-Hee Ong, Rick %A Croteau-Chonka, Damien C %A Lange, Leslie A %A Smith, Joshua D %A Song, Kijoung %A Hua Zhao, Jing %A Yuan, Xin %A Luan, Jian'an %A Lamina, Claudia %A Ziegler, Andreas %A Zhang, Weihua %A Zee, Robert Y L %A Wright, Alan F %A Witteman, Jacqueline C M %A Wilson, James F %A Willemsen, Gonneke %A Wichmann, H-Erich %A Whitfield, John B %A Waterworth, Dawn M %A Wareham, Nicholas J %A Waeber, Gérard %A Vollenweider, Peter %A Voight, Benjamin F %A Vitart, Veronique %A Uitterlinden, André G %A Uda, Manuela %A Tuomilehto, Jaakko %A Thompson, John R %A Tanaka, Toshiko %A Surakka, Ida %A Stringham, Heather M %A Spector, Tim D %A Soranzo, Nicole %A Smit, Johannes H %A Sinisalo, Juha %A Silander, Kaisa %A Sijbrands, Eric J G %A Scuteri, Angelo %A Scott, James %A Schlessinger, David %A Sanna, Serena %A Salomaa, Veikko %A Saharinen, Juha %A Sabatti, Chiara %A Ruokonen, Aimo %A Rudan, Igor %A Rose, Lynda M %A Roberts, Robert %A Rieder, Mark %A Psaty, Bruce M %A Pramstaller, Peter P %A Pichler, Irene %A Perola, Markus %A Penninx, Brenda W J H %A Pedersen, Nancy L %A Pattaro, Cristian %A Parker, Alex N %A Paré, Guillaume %A Oostra, Ben A %A O'Donnell, Christopher J %A Nieminen, Markku S %A Nickerson, Deborah A %A Montgomery, Grant W %A Meitinger, Thomas %A McPherson, Ruth %A McCarthy, Mark I %A McArdle, Wendy %A Masson, David %A Martin, Nicholas G %A Marroni, Fabio %A Mangino, Massimo %A Magnusson, Patrik K E %A Lucas, Gavin %A Luben, Robert %A Loos, Ruth J F %A Lokki, Marja-Liisa %A Lettre, Guillaume %A Langenberg, Claudia %A Launer, Lenore J %A Lakatta, Edward G %A Laaksonen, Reijo %A Kyvik, Kirsten O %A Kronenberg, Florian %A König, Inke R %A Khaw, Kay-Tee %A Kaprio, Jaakko %A Kaplan, Lee M %A Johansson, Asa %A Jarvelin, Marjo-Riitta %A Janssens, A Cecile J W %A Ingelsson, Erik %A Igl, Wilmar %A Kees Hovingh, G %A Hottenga, Jouke-Jan %A Hofman, Albert %A Hicks, Andrew A %A Hengstenberg, Christian %A Heid, Iris M %A Hayward, Caroline %A Havulinna, Aki S %A Hastie, Nicholas D %A Harris, Tamara B %A Haritunians, Talin %A Hall, Alistair S %A Gyllensten, Ulf %A Guiducci, Candace %A Groop, Leif C %A Gonzalez, Elena %A Gieger, Christian %A Freimer, Nelson B %A Ferrucci, Luigi %A Erdmann, Jeanette %A Elliott, Paul %A Ejebe, Kenechi G %A Döring, Angela %A Dominiczak, Anna F %A Demissie, Serkalem %A Deloukas, Panagiotis %A de Geus, Eco J C %A de Faire, Ulf %A Crawford, Gabriel %A Collins, Francis S %A Chen, Yii-der I %A Caulfield, Mark J %A Campbell, Harry %A Burtt, Noel P %A Bonnycastle, Lori L %A Boomsma, Dorret I %A Boekholdt, S Matthijs %A Bergman, Richard N %A Barroso, Inês %A Bandinelli, Stefania %A Ballantyne, Christie M %A Assimes, Themistocles L %A Quertermous, Thomas %A Altshuler, David %A Seielstad, Mark %A Wong, Tien Y %A Tai, E-Shyong %A Feranil, Alan B %A Kuzawa, Christopher W %A Adair, Linda S %A Taylor, Herman A %A Borecki, Ingrid B %A Gabriel, Stacey B %A Wilson, James G %A Holm, Hilma %A Thorsteinsdottir, Unnur %A Gudnason, Vilmundur %A Krauss, Ronald M %A Mohlke, Karen L %A Ordovas, Jose M %A Munroe, Patricia B %A Kooner, Jaspal S %A Tall, Alan R %A Hegele, Robert A %A Kastelein, John J P %A Schadt, Eric E %A Rotter, Jerome I %A Boerwinkle, Eric %A Strachan, David P %A Mooser, Vincent %A Stefansson, Kari %A Reilly, Muredach P %A Samani, Nilesh J %A Schunkert, Heribert %A Cupples, L Adrienne %A Sandhu, Manjinder S %A Ridker, Paul M %A Rader, Daniel J %A van Duijn, Cornelia M %A Peltonen, Leena %A Abecasis, Goncalo R %A Boehnke, Michael %A Kathiresan, Sekar %K African Americans %K Animals %K Asian Continental Ancestry Group %K Cholesterol, HDL %K Cholesterol, LDL %K Coronary Artery Disease %K Europe %K European Continental Ancestry Group %K Female %K Genetic Loci %K Genome-Wide Association Study %K Genotype %K Humans %K Lipid Metabolism %K Lipids %K Liver %K Male %K Mice %K N-Acetylgalactosaminyltransferases %K Phenotype %K Polymorphism, Single Nucleotide %K Protein Phosphatase 1 %K Reproducibility of Results %K Triglycerides %X

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.

%B Nature %V 466 %P 707-13 %8 2010 Aug 05 %G eng %N 7307 %1 http://www.ncbi.nlm.nih.gov/pubmed/20686565?dopt=Abstract %R 10.1038/nature09270 %0 Journal Article %J Nat Genet %D 2010 %T Common variants in KCNN3 are associated with lone atrial fibrillation. %A Ellinor, Patrick T %A Lunetta, Kathryn L %A Glazer, Nicole L %A Pfeufer, Arne %A Alonso, Alvaro %A Chung, Mina K %A Sinner, Moritz F %A de Bakker, Paul I W %A Mueller, Martina %A Lubitz, Steven A %A Fox, Ervin %A Darbar, Dawood %A Smith, Nicholas L %A Smith, Jonathan D %A Schnabel, Renate B %A Soliman, Elsayed Z %A Rice, Kenneth M %A Van Wagoner, David R %A Beckmann, Britt-M %A van Noord, Charlotte %A Wang, Ke %A Ehret, Georg B %A Rotter, Jerome I %A Hazen, Stanley L %A Steinbeck, Gerhard %A Smith, Albert V %A Launer, Lenore J %A Harris, Tamara B %A Makino, Seiko %A Nelis, Mari %A Milan, David J %A Perz, Siegfried %A Esko, Tõnu %A Köttgen, Anna %A Moebus, Susanne %A Newton-Cheh, Christopher %A Li, Man %A Möhlenkamp, Stefan %A Wang, Thomas J %A Kao, W H Linda %A Vasan, Ramachandran S %A Nöthen, Markus M %A MacRae, Calum A %A Stricker, Bruno H Ch %A Hofman, Albert %A Uitterlinden, André G %A Levy, Daniel %A Boerwinkle, Eric %A Metspalu, Andres %A Topol, Eric J %A Chakravarti, Aravinda %A Gudnason, Vilmundur %A Psaty, Bruce M %A Roden, Dan M %A Meitinger, Thomas %A Wichmann, H-Erich %A Witteman, Jacqueline C M %A Barnard, John %A Arking, Dan E %A Benjamin, Emelia J %A Heckbert, Susan R %A Kääb, Stefan %K Adolescent %K Adult %K Aged %K Atrial Fibrillation %K Case-Control Studies %K Cohort Studies %K Female %K Genome-Wide Association Study %K Humans %K Introns %K Male %K Meta-Analysis as Topic %K Middle Aged %K Polymorphism, Single Nucleotide %K Small-Conductance Calcium-Activated Potassium Channels %K Young Adult %X

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

%B Nat Genet %V 42 %P 240-4 %8 2010 Mar %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/20173747?dopt=Abstract %R 10.1038/ng.537 %0 Journal Article %J Hum Mol Genet %D 2010 %T Common variants in the calcium-sensing receptor gene are associated with total serum calcium levels. %A O'Seaghdha, Conall M %A Yang, Qiong %A Glazer, Nicole L %A Leak, Tennille S %A Dehghan, Abbas %A Smith, Albert V %A Kao, W H Linda %A Lohman, Kurt %A Hwang, Shih-Jen %A Johnson, Andrew D %A Hofman, Albert %A Uitterlinden, André G %A Chen, Yii-Der Ida %A Brown, Edward M %A Siscovick, David S %A Harris, Tamara B %A Psaty, Bruce M %A Coresh, Josef %A Gudnason, Vilmundur %A Witteman, Jacqueline C %A Liu, Yong Mei %A Kestenbaum, Bryan R %A Fox, Caroline S %A Köttgen, Anna %K Adult %K Calcium %K Female %K Humans %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Receptors, Calcium-Sensing %X

Serum calcium levels are tightly regulated. We performed genome-wide association studies (GWAS) in population-based studies participating in the CHARGE Consortium to uncover common genetic variations associated with total serum calcium levels. GWAS of serum calcium concentrations was performed in 20 611 individuals of European ancestry for ∼2.5 million genotyped and imputed single-nucleotide polymorphisms (SNPs). The SNP with the lowest P-value was rs17251221 (P = 2.4 * 10(-22), minor allele frequency 14%) in the calcium-sensing receptor gene (CASR). This lead SNP was associated with higher serum calcium levels [0.06 mg/dl (0.015 mmol/l) per copy of the minor G allele] and accounted for 0.54% of the variance in serum calcium concentrations. The identification of variation in CASR that influences serum calcium concentration confirms the results of earlier candidate gene studies. The G allele of rs17251221 was also associated with higher serum magnesium levels (P = 1.2 * 10(-3)), lower serum phosphate levels (P = 2.8 * 10(-7)) and lower bone mineral density at the lumbar spine (P = 0.038), but not the femoral neck. No additional genomic loci contained SNPs associated at genome-wide significance (P < 5 * 10(-8)). These associations resemble clinical characteristics of patients with familial hypocalciuric hypercalcemia, an autosomal-dominant disease arising from rare inactivating mutations in the CASR gene. We conclude that common genetic variation in the CASR gene is associated with similar but milder features in the general population.

%B Hum Mol Genet %V 19 %P 4296-303 %8 2010 Nov 01 %G eng %N 21 %1 http://www.ncbi.nlm.nih.gov/pubmed/20705733?dopt=Abstract %R 10.1093/hmg/ddq342 %0 Journal Article %J JAMA %D 2010 %T Genome-wide analysis of genetic loci associated with Alzheimer disease. %A Seshadri, Sudha %A Fitzpatrick, Annette L %A Ikram, M Arfan %A DeStefano, Anita L %A Gudnason, Vilmundur %A Boada, Merce %A Bis, Joshua C %A Smith, Albert V %A Carassquillo, Minerva M %A Lambert, Jean Charles %A Harold, Denise %A Schrijvers, Elisabeth M C %A Ramirez-Lorca, Reposo %A Debette, Stephanie %A Longstreth, W T %A Janssens, A Cecile J W %A Pankratz, V Shane %A Dartigues, Jean François %A Hollingworth, Paul %A Aspelund, Thor %A Hernandez, Isabel %A Beiser, Alexa %A Kuller, Lewis H %A Koudstaal, Peter J %A Dickson, Dennis W %A Tzourio, Christophe %A Abraham, Richard %A Antunez, Carmen %A Du, Yangchun %A Rotter, Jerome I %A Aulchenko, Yurii S %A Harris, Tamara B %A Petersen, Ronald C %A Berr, Claudine %A Owen, Michael J %A Lopez-Arrieta, Jesus %A Varadarajan, Badri N %A Becker, James T %A Rivadeneira, Fernando %A Nalls, Michael A %A Graff-Radford, Neill R %A Campion, Dominique %A Auerbach, Sanford %A Rice, Kenneth %A Hofman, Albert %A Jonsson, Palmi V %A Schmidt, Helena %A Lathrop, Mark %A Mosley, Thomas H %A Au, Rhoda %A Psaty, Bruce M %A Uitterlinden, André G %A Farrer, Lindsay A %A Lumley, Thomas %A Ruiz, Agustin %A Williams, Julie %A Amouyel, Philippe %A Younkin, Steve G %A Wolf, Philip A %A Launer, Lenore J %A Lopez, Oscar L %A van Duijn, Cornelia M %A Breteler, Monique M B %K Age of Onset %K Aged %K Alzheimer Disease %K Case-Control Studies %K Genetic Loci %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Odds Ratio %K Polymorphism, Single Nucleotide %X

CONTEXT: Genome-wide association studies (GWAS) have recently identified CLU, PICALM, and CR1 as novel genes for late-onset Alzheimer disease (AD).

OBJECTIVES: To identify and strengthen additional loci associated with AD and confirm these in an independent sample and to examine the contribution of recently identified genes to AD risk prediction in a 3-stage analysis of new and previously published GWAS on more than 35,000 persons (8371 AD cases).

DESIGN, SETTING, AND PARTICIPANTS: In stage 1, we identified strong genetic associations (P < 10(-3)) in a sample of 3006 AD cases and 14,642 controls by combining new data from the population-based Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (1367 AD cases [973 incident]) with previously reported results from the Translational Genomics Research Institute and the Mayo AD GWAS. We identified 2708 single-nucleotide polymorphisms (SNPs) with P < 10(-3). In stage 2, we pooled results for these SNPs with the European AD Initiative (2032 cases and 5328 controls) to identify 38 SNPs (10 loci) with P < 10(-5). In stage 3, we combined data for these 10 loci with data from the Genetic and Environmental Risk in AD consortium (3333 cases and 6995 controls) to identify 4 SNPs with P < 1.7x10(-8). These 4 SNPs were replicated in an independent Spanish sample (1140 AD cases and 1209 controls). Genome-wide association analyses were completed in 2007-2008 and the meta-analyses and replication in 2009.

MAIN OUTCOME MEASURE: Presence of Alzheimer disease.

RESULTS: Two loci were identified to have genome-wide significance for the first time: rs744373 near BIN1 (odds ratio [OR],1.13; 95% confidence interval [CI],1.06-1.21 per copy of the minor allele; P = 1.59x10(-11)) and rs597668 near EXOC3L2/BLOC1S3/MARK4 (OR, 1.18; 95% CI, 1.07-1.29; P = 6.45x10(-9)). Associations of these 2 loci plus the previously identified loci CLU and PICALM with AD were confirmed in the Spanish sample (P < .05). However, although CLU and PICALM were confirmed to be associated with AD in this independent sample, they did not improve the ability of a model that included age, sex, and APOE to predict incident AD (improvement in area under the receiver operating characteristic curve from 0.847 to 0.849 in the Rotterdam Study and 0.702 to 0.705 in the Cardiovascular Health Study).

CONCLUSIONS: Two genetic loci for AD were found for the first time to reach genome-wide statistical significance. These findings were replicated in an independent population. Two recently reported associations were also confirmed. These loci did not improve AD risk prediction. While not clinically useful, they may implicate biological pathways useful for future research.

%B JAMA %V 303 %P 1832-40 %8 2010 May 12 %G eng %N 18 %1 http://www.ncbi.nlm.nih.gov/pubmed/20460622?dopt=Abstract %R 10.1001/jama.2010.574 %0 Journal Article %J Hum Mol Genet %D 2010 %T Genome-wide association analysis identifies multiple loci related to resting heart rate. %A Eijgelsheim, Mark %A Newton-Cheh, Christopher %A Sotoodehnia, Nona %A de Bakker, Paul I W %A Müller, Martina %A Morrison, Alanna C %A Smith, Albert V %A Isaacs, Aaron %A Sanna, Serena %A Dörr, Marcus %A Navarro, Pau %A Fuchsberger, Christian %A Nolte, Ilja M %A de Geus, Eco J C %A Estrada, Karol %A Hwang, Shih-Jen %A Bis, Joshua C %A Rückert, Ina-Maria %A Alonso, Alvaro %A Launer, Lenore J %A Hottenga, Jouke Jan %A Rivadeneira, Fernando %A Noseworthy, Peter A %A Rice, Kenneth M %A Perz, Siegfried %A Arking, Dan E %A Spector, Tim D %A Kors, Jan A %A Aulchenko, Yurii S %A Tarasov, Kirill V %A Homuth, Georg %A Wild, Sarah H %A Marroni, Fabio %A Gieger, Christian %A Licht, Carmilla M %A Prineas, Ronald J %A Hofman, Albert %A Rotter, Jerome I %A Hicks, Andrew A %A Ernst, Florian %A Najjar, Samer S %A Wright, Alan F %A Peters, Annette %A Fox, Ervin R %A Oostra, Ben A %A Kroemer, Heyo K %A Couper, David %A Völzke, Henry %A Campbell, Harry %A Meitinger, Thomas %A Uda, Manuela %A Witteman, Jacqueline C M %A Psaty, Bruce M %A Wichmann, H-Erich %A Harris, Tamara B %A Kääb, Stefan %A Siscovick, David S %A Jamshidi, Yalda %A Uitterlinden, André G %A Folsom, Aaron R %A Larson, Martin G %A Wilson, James F %A Penninx, Brenda W %A Snieder, Harold %A Pramstaller, Peter P %A van Duijn, Cornelia M %A Lakatta, Edward G %A Felix, Stephan B %A Gudnason, Vilmundur %A Pfeufer, Arne %A Heckbert, Susan R %A Stricker, Bruno H Ch %A Boerwinkle, Eric %A O'Donnell, Christopher J %K Adult %K Aged %K Base Pairing %K Cohort Studies %K Female %K Genetic Loci %K Genome, Human %K Genome-Wide Association Study %K Heart Rate %K Humans %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Rest %X

Higher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. This knowledge can impact clinical care by identifying novel factors that influence pathologic heart rate states, modulate heart rate through cardiac structure and function or by improving our understanding of the physiology of heart rate regulation. To identify common genetic variants associated with heart rate, we performed a meta-analysis of 15 genome-wide association studies (GWAS), including 38,991 subjects of European ancestry, estimating the association between age-, sex- and body mass-adjusted RR interval (inverse heart rate) and approximately 2.5 million markers. Results with P < 5 × 10(-8) were considered genome-wide significant. We constructed regression models with multiple markers to assess whether results at less stringent thresholds were likely to be truly associated with RR interval. We identified six novel associations with resting heart rate at six loci: 6q22 near GJA1; 14q12 near MYH7; 12p12 near SOX5, c12orf67, BCAT1, LRMP and CASC1; 6q22 near SLC35F1, PLN and c6orf204; 7q22 near SLC12A9 and UfSp1; and 11q12 near FADS1. Associations at 6q22 400 kb away from GJA1, at 14q12 MYH6 and at 1q32 near CD34 identified in previously published GWAS were confirmed. In aggregate, these variants explain approximately 0.7% of RR interval variance. A multivariant regression model including 20 variants with P < 10(-5) increased the explained variance to 1.6%, suggesting that some loci falling short of genome-wide significance are likely truly associated. Future research is warranted to elucidate underlying mechanisms that may impact clinical care.

%B Hum Mol Genet %V 19 %P 3885-94 %8 2010 Oct 01 %G eng %N 19 %1 http://www.ncbi.nlm.nih.gov/pubmed/20639392?dopt=Abstract %R 10.1093/hmg/ddq303 %0 Journal Article %J Stroke %D 2010 %T Genome-wide association studies of MRI-defined brain infarcts: meta-analysis from the CHARGE Consortium. %A Debette, Stephanie %A Bis, Joshua C %A Fornage, Myriam %A Schmidt, Helena %A Ikram, M Arfan %A Sigurdsson, Sigurdur %A Heiss, Gerardo %A Struchalin, Maksim %A Smith, Albert V %A van der Lugt, Aad %A DeCarli, Charles %A Lumley, Thomas %A Knopman, David S %A Enzinger, Christian %A Eiriksdottir, Gudny %A Koudstaal, Peter J %A DeStefano, Anita L %A Psaty, Bruce M %A Dufouil, Carole %A Catellier, Diane J %A Fazekas, Franz %A Aspelund, Thor %A Aulchenko, Yurii S %A Beiser, Alexa %A Rotter, Jerome I %A Tzourio, Christophe %A Shibata, Dean K %A Tscherner, Maria %A Harris, Tamara B %A Rivadeneira, Fernando %A Atwood, Larry D %A Rice, Kenneth %A Gottesman, Rebecca F %A van Buchem, Mark A %A Uitterlinden, André G %A Kelly-Hayes, Margaret %A Cushman, Mary %A Zhu, Yicheng %A Boerwinkle, Eric %A Gudnason, Vilmundur %A Hofman, Albert %A Romero, Jose R %A Lopez, Oscar %A van Duijn, Cornelia M %A Au, Rhoda %A Heckbert, Susan R %A Wolf, Philip A %A Mosley, Thomas H %A Seshadri, Sudha %A Breteler, Monique M B %A Schmidt, Reinhold %A Launer, Lenore J %A Longstreth, W T %K African Americans %K Aged %K Brain %K Brain Infarction %K Cohort Studies %K DNA Mutational Analysis %K Female %K Gene Frequency %K Genetic Markers %K Genetic Predisposition to Disease %K Genetic Testing %K Genetic Variation %K Genome-Wide Association Study %K Humans %K Linkage Disequilibrium %K Magnetic Resonance Imaging %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Prospective Studies %X

BACKGROUND AND PURPOSE: Previous studies examining genetic associations with MRI-defined brain infarct have yielded inconsistent findings. We investigated genetic variation underlying covert MRI infarct in persons without histories of transient ischemic attack or stroke. We performed meta-analysis of genome-wide association studies of white participants in 6 studies comprising the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

METHODS: Using 2.2 million genotyped and imputed single nucleotide polymorphisms, each study performed cross-sectional genome-wide association analysis of MRI infarct using age- and sex-adjusted logistic regression models. Study-specific findings were combined in an inverse-variance-weighted meta-analysis, including 9401 participants with mean age 69.7 (19.4% of whom had >or=1 MRI infarct).

RESULTS: The most significant association was found with rs2208454 (minor allele frequency, 20%), located in intron 3 of MACRO domain containing 2 gene and in the downstream region of fibronectin leucine-rich transmembrane protein 3 gene. Each copy of the minor allele was associated with lower risk of MRI infarcts (odds ratio, 0.76; 95% confidence interval, 0.68-0.84; P=4.64x10(-7)). Highly suggestive associations (P<1.0x10(-5)) were also found for 22 other single nucleotide polymorphisms in linkage disequilibrium (r(2)>0.64) with rs2208454. The association with rs2208454 did not replicate in independent samples of 1822 white and 644 black participants, although 4 single nucleotide polymorphisms within 200 kb from rs2208454 were associated with MRI infarcts in the black population sample.

CONCLUSIONS: This first community-based, genome-wide association study on covert MRI infarcts uncovered novel associations. Although replication of the association with top single nucleotide polymorphisms failed, possibly because of insufficient power, results in the black population sample are encouraging, and further efforts at replication are needed.

%B Stroke %V 41 %P 210-7 %8 2010 Feb %G eng %N 2 %1 http://www.ncbi.nlm.nih.gov/pubmed/20044523?dopt=Abstract %R 10.1161/STROKEAHA.109.569194 %0 Journal Article %J PLoS Genet %D 2010 %T Genome-wide association studies of serum magnesium, potassium, and sodium concentrations identify six Loci influencing serum magnesium levels. %A Meyer, Tamra E %A Verwoert, Germaine C %A Hwang, Shih-Jen %A Glazer, Nicole L %A Smith, Albert V %A van Rooij, Frank J A %A Ehret, Georg B %A Boerwinkle, Eric %A Felix, Janine F %A Leak, Tennille S %A Harris, Tamara B %A Yang, Qiong %A Dehghan, Abbas %A Aspelund, Thor %A Katz, Ronit %A Homuth, Georg %A Kocher, Thomas %A Rettig, Rainer %A Ried, Janina S %A Gieger, Christian %A Prucha, Hanna %A Pfeufer, Arne %A Meitinger, Thomas %A Coresh, Josef %A Hofman, Albert %A Sarnak, Mark J %A Chen, Yii-Der Ida %A Uitterlinden, André G %A Chakravarti, Aravinda %A Psaty, Bruce M %A van Duijn, Cornelia M %A Kao, W H Linda %A Witteman, Jacqueline C M %A Gudnason, Vilmundur %A Siscovick, David S %A Fox, Caroline S %A Köttgen, Anna %K Adult %K Aged %K European Continental Ancestry Group %K Female %K Genome-Wide Association Study %K Humans %K Magnesium %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Potassium %K Sodium %X

Magnesium, potassium, and sodium, cations commonly measured in serum, are involved in many physiological processes including energy metabolism, nerve and muscle function, signal transduction, and fluid and blood pressure regulation. To evaluate the contribution of common genetic variation to normal physiologic variation in serum concentrations of these cations, we conducted genome-wide association studies of serum magnesium, potassium, and sodium concentrations using approximately 2.5 million genotyped and imputed common single nucleotide polymorphisms (SNPs) in 15,366 participants of European descent from the international CHARGE Consortium. Study-specific results were combined using fixed-effects inverse-variance weighted meta-analysis. SNPs demonstrating genome-wide significant (p<5 x 10(-8)) or suggestive associations (p<4 x 10(-7)) were evaluated for replication in an additional 8,463 subjects of European descent. The association of common variants at six genomic regions (in or near MUC1, ATP2B1, DCDC5, TRPM6, SHROOM3, and MDS1) with serum magnesium levels was genome-wide significant when meta-analyzed with the replication dataset. All initially significant SNPs from the CHARGE Consortium showed nominal association with clinically defined hypomagnesemia, two showed association with kidney function, two with bone mineral density, and one of these also associated with fasting glucose levels. Common variants in CNNM2, a magnesium transporter studied only in model systems to date, as well as in CNNM3 and CNNM4, were also associated with magnesium concentrations in this study. We observed no associations with serum sodium or potassium levels exceeding p<4 x 10(-7). Follow-up studies of newly implicated genomic loci may provide additional insights into the regulation and homeostasis of human serum magnesium levels.

%B PLoS Genet %V 6 %8 2010 Aug 05 %G eng %N 8 %1 http://www.ncbi.nlm.nih.gov/pubmed/20700443?dopt=Abstract %R 10.1371/journal.pgen.1001045 %0 Journal Article %J J Gerontol A Biol Sci Med Sci %D 2010 %T A meta-analysis of four genome-wide association studies of survival to age 90 years or older: the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium. %A Newman, Anne B %A Walter, Stefan %A Lunetta, Kathryn L %A Garcia, Melissa E %A Slagboom, P Eline %A Christensen, Kaare %A Arnold, Alice M %A Aspelund, Thor %A Aulchenko, Yurii S %A Benjamin, Emelia J %A Christiansen, Lene %A D'Agostino, Ralph B %A Fitzpatrick, Annette L %A Franceschini, Nora %A Glazer, Nicole L %A Gudnason, Vilmundur %A Hofman, Albert %A Kaplan, Robert %A Karasik, David %A Kelly-Hayes, Margaret %A Kiel, Douglas P %A Launer, Lenore J %A Marciante, Kristin D %A Massaro, Joseph M %A Miljkovic, Iva %A Nalls, Michael A %A Hernandez, Dena %A Psaty, Bruce M %A Rivadeneira, Fernando %A Rotter, Jerome %A Seshadri, Sudha %A Smith, Albert V %A Taylor, Kent D %A Tiemeier, Henning %A Uh, Hae-Won %A Uitterlinden, André G %A Vaupel, James W %A Walston, Jeremy %A Westendorp, Rudi G J %A Harris, Tamara B %A Lumley, Thomas %A van Duijn, Cornelia M %A Murabito, Joanne M %K Adult %K Age Factors %K Aged %K Aged, 80 and over %K Alleles %K Cohort Studies %K Confidence Intervals %K Female %K Genome-Wide Association Study %K Genotype %K Humans %K Longevity %K Male %K Middle Aged %K Odds Ratio %K Polymorphism, Single Nucleotide %X

BACKGROUND: Genome-wide association studies (GWAS) may yield insights into longevity.

METHODS: We performed a meta-analysis of GWAS in Caucasians from four prospective cohort studies: the Age, Gene/Environment Susceptibility-Reykjavik Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Longevity was defined as survival to age 90 years or older (n = 1,836); the comparison group comprised cohort members who died between the ages of 55 and 80 years (n = 1,955). In a second discovery stage, additional genotyping was conducted in the Leiden Longevity Study cohort and the Danish 1905 cohort.

RESULTS: There were 273 single-nucleotide polymorphism (SNP) associations with p < .0001, but none reached the prespecified significance level of 5 x 10(-8). Of the most significant SNPs, 24 were independent signals, and 16 of these SNPs were successfully genotyped in the second discovery stage, with one association for rs9664222, reaching 6.77 x 10(-7) for the combined meta-analysis of CHARGE and the stage 2 cohorts. The SNP lies in a region near MINPP1 (chromosome 10), a well-conserved gene involved in regulation of cellular proliferation. The minor allele was associated with lower odds of survival past age 90 (odds ratio = 0.82). Associations of interest in a homologue of the longevity assurance gene (LASS3) and PAPPA2 were not strengthened in the second stage.

CONCLUSION: Survival studies of larger size or more extreme or specific phenotypes may support or refine these initial findings.

%B J Gerontol A Biol Sci Med Sci %V 65 %P 478-87 %8 2010 May %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/20304771?dopt=Abstract %R 10.1093/gerona/glq028 %0 Journal Article %J Circ Cardiovasc Genet %D 2010 %T Multiple genetic loci influence serum urate levels and their relationship with gout and cardiovascular disease risk factors. %A Yang, Qiong %A Köttgen, Anna %A Dehghan, Abbas %A Smith, Albert V %A Glazer, Nicole L %A Chen, Ming-Huei %A Chasman, Daniel I %A Aspelund, Thor %A Eiriksdottir, Gudny %A Harris, Tamara B %A Launer, Lenore %A Nalls, Michael %A Hernandez, Dena %A Arking, Dan E %A Boerwinkle, Eric %A Grove, Megan L %A Li, Man %A Linda Kao, W H %A Chonchol, Michel %A Haritunians, Talin %A Li, Guo %A Lumley, Thomas %A Psaty, Bruce M %A Shlipak, Michael %A Hwang, Shih-Jen %A Larson, Martin G %A O'Donnell, Christopher J %A Upadhyay, Ashish %A van Duijn, Cornelia M %A Hofman, Albert %A Rivadeneira, Fernando %A Stricker, Bruno %A Uitterlinden, André G %A Paré, Guillaume %A Parker, Alex N %A Ridker, Paul M %A Siscovick, David S %A Gudnason, Vilmundur %A Witteman, Jacqueline C %A Fox, Caroline S %A Coresh, Josef %K Cardiovascular Diseases %K Coronary Disease %K Female %K Genetic Loci %K Genome-Wide Association Study %K Gout %K Humans %K Male %K Risk Factors %K Uric Acid %X

BACKGROUND: Elevated serum urate levels can lead to gout and are associated with cardiovascular risk factors. We performed a genome-wide association study to search for genetic susceptibility loci for serum urate and gout and investigated the causal nature of the associations of serum urate with gout and selected cardiovascular risk factors and coronary heart disease (CHD).

METHODS AND RESULTS: Meta-analyses of genome-wide association studies (GWAS) were performed in 5 population-based cohorts of the Cohorts for Heart and Aging Research in Genome Epidemiology consortium for serum urate and gout in 28 283 white participants. The effect of the most significant single-nucleotide polymorphism at all genome-wide significant loci on serum urate was added to create a genetic urate score. Findings were replicated in the Women's Genome Health Study (n=22 054). Single-nucleotide polymorphisms at 8 genetic loci achieved genome-wide significance with serum urate levels (P=4×10(-8) to 2×10(-242) in SLC22A11, GCKR, R3HDM2-INHBC region, RREB1, PDZK1, SLC2A9, ABCG2, and SLC17A1). Only 2 loci (SLC2A9, ABCG2) showed genome-wide significant association with gout. The genetic urate score was strongly associated with serum urate and gout (odds ratio, 12.4 per 100 μmol/L; P=3×10(-39)) but not with blood pressure, glucose, estimated glomerular filtration rate, chronic kidney disease, or CHD. The lack of association between the genetic score and the latter phenotypes also was observed in the Women's Genome Health Study.

CONCLUSIONS: The genetic urate score analysis suggested a causal relationship between serum urate and gout but did not provide evidence for one between serum urate and cardiovascular risk factors and CHD.

%B Circ Cardiovasc Genet %V 3 %P 523-30 %8 2010 Dec %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/20884846?dopt=Abstract %R 10.1161/CIRCGENETICS.109.934455 %0 Journal Article %J Nat Genet %D 2010 %T New loci associated with kidney function and chronic kidney disease. %A Köttgen, Anna %A Pattaro, Cristian %A Böger, Carsten A %A Fuchsberger, Christian %A Olden, Matthias %A Glazer, Nicole L %A Parsa, Afshin %A Gao, Xiaoyi %A Yang, Qiong %A Smith, Albert V %A O'Connell, Jeffrey R %A Li, Man %A Schmidt, Helena %A Tanaka, Toshiko %A Isaacs, Aaron %A Ketkar, Shamika %A Hwang, Shih-Jen %A Johnson, Andrew D %A Dehghan, Abbas %A Teumer, Alexander %A Paré, Guillaume %A Atkinson, Elizabeth J %A Zeller, Tanja %A Lohman, Kurt %A Cornelis, Marilyn C %A Probst-Hensch, Nicole M %A Kronenberg, Florian %A Tönjes, Anke %A Hayward, Caroline %A Aspelund, Thor %A Eiriksdottir, Gudny %A Launer, Lenore J %A Harris, Tamara B %A Rampersaud, Evadnie %A Mitchell, Braxton D %A Arking, Dan E %A Boerwinkle, Eric %A Struchalin, Maksim %A Cavalieri, Margherita %A Singleton, Andrew %A Giallauria, Francesco %A Metter, Jeffrey %A de Boer, Ian H %A Haritunians, Talin %A Lumley, Thomas %A Siscovick, David %A Psaty, Bruce M %A Zillikens, M Carola %A Oostra, Ben A %A Feitosa, Mary %A Province, Michael %A de Andrade, Mariza %A Turner, Stephen T %A Schillert, Arne %A Ziegler, Andreas %A Wild, Philipp S %A Schnabel, Renate B %A Wilde, Sandra %A Munzel, Thomas F %A Leak, Tennille S %A Illig, Thomas %A Klopp, Norman %A Meisinger, Christa %A Wichmann, H-Erich %A Koenig, Wolfgang %A Zgaga, Lina %A Zemunik, Tatijana %A Kolcic, Ivana %A Minelli, Cosetta %A Hu, Frank B %A Johansson, Asa %A Igl, Wilmar %A Zaboli, Ghazal %A Wild, Sarah H %A Wright, Alan F %A Campbell, Harry %A Ellinghaus, David %A Schreiber, Stefan %A Aulchenko, Yurii S %A Felix, Janine F %A Rivadeneira, Fernando %A Uitterlinden, André G %A Hofman, Albert %A Imboden, Medea %A Nitsch, Dorothea %A Brandstätter, Anita %A Kollerits, Barbara %A Kedenko, Lyudmyla %A Mägi, Reedik %A Stumvoll, Michael %A Kovacs, Peter %A Boban, Mladen %A Campbell, Susan %A Endlich, Karlhans %A Völzke, Henry %A Kroemer, Heyo K %A Nauck, Matthias %A Völker, Uwe %A Polasek, Ozren %A Vitart, Veronique %A Badola, Sunita %A Parker, Alexander N %A Ridker, Paul M %A Kardia, Sharon L R %A Blankenberg, Stefan %A Liu, Yongmei %A Curhan, Gary C %A Franke, Andre %A Rochat, Thierry %A Paulweber, Bernhard %A Prokopenko, Inga %A Wang, Wei %A Gudnason, Vilmundur %A Shuldiner, Alan R %A Coresh, Josef %A Schmidt, Reinhold %A Ferrucci, Luigi %A Shlipak, Michael G %A van Duijn, Cornelia M %A Borecki, Ingrid %A Krämer, Bernhard K %A Rudan, Igor %A Gyllensten, Ulf %A Wilson, James F %A Witteman, Jacqueline C %A Pramstaller, Peter P %A Rettig, Rainer %A Hastie, Nick %A Chasman, Daniel I %A Kao, W H %A Heid, Iris M %A Fox, Caroline S %K Cohort Studies %K Creatinine %K Cystatin C %K Diet %K Europe %K Genetic Markers %K Genome-Wide Association Study %K Glomerular Filtration Rate %K Humans %K Kidney %K Kidney Failure, Chronic %K Models, Genetic %K Risk Factors %X

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

%B Nat Genet %V 42 %P 376-84 %8 2010 May %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/20383146?dopt=Abstract %R 10.1038/ng.568 %0 Journal Article %J Invest Ophthalmol Vis Sci %D 2011 %T Candidate gene association study for diabetic retinopathy in persons with type 2 diabetes: the Candidate gene Association Resource (CARe). %A Sobrin, Lucia %A Green, Todd %A Sim, Xueling %A Jensen, Richard A %A Tai, E Shyong %A Tay, Wan Ting %A Wang, Jie Jin %A Mitchell, Paul %A Sandholm, Niina %A Liu, Yiyuan %A Hietala, Kustaa %A Iyengar, Sudha K %A Brooks, Matthew %A Buraczynska, Monika %A Van Zuydam, Natalie %A Smith, Albert V %A Gudnason, Vilmundur %A Doney, Alex S F %A Morris, Andrew D %A Leese, Graham P %A Palmer, Colin N A %A Swaroop, Anand %A Taylor, Herman A %A Wilson, James G %A Penman, Alan %A Chen, Ching J %A Groop, Per-Henrik %A Saw, Seang-Mei %A Aung, Tin %A Klein, Barbara E %A Rotter, Jerome I %A Siscovick, David S %A Cotch, Mary Frances %A Klein, Ronald %A Daly, Mark J %A Wong, Tien Y %K Cardiovascular Diseases %K Diabetes Mellitus, Type 2 %K Diabetic Nephropathies %K Diabetic Retinopathy %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Iduronidase %K Odds Ratio %K P-Selectin %K Polymorphism, Single Nucleotide %K Risk Factors %X

PURPOSE: To investigate whether variants in cardiovascular candidate genes, some of which have been previously associated with type 2 diabetes (T2D), diabetic retinopathy (DR), and diabetic nephropathy (DN), are associated with DR in the Candidate gene Association Resource (CARe).

METHODS: Persons with T2D who were enrolled in the study (n = 2691) had fundus photography and genotyping of single nucleotide polymorphisms (SNPs) in 2000 candidate genes. Two case definitions were investigated: Early Treatment Diabetic Retinopathy Study (ETDRS) grades ≥ 14 and ≥ 30. The χ² analyses for each CARe cohort were combined by Cochran-Mantel-Haenszel (CMH) pooling of odds ratios (ORs) and corrected for multiple hypothesis testing. Logistic regression was performed with adjustment for other DR risk factors. Results from replication in independent cohorts were analyzed with CMH meta-analysis methods.

RESULTS: Among 39 genes previously associated with DR, DN, or T2D, three SNPs in P-selectin (SELP) were associated with DR. The strongest association was to rs6128 (OR = 0.43, P = 0.0001, after Bonferroni correction). These associations remained significant after adjustment for DR risk factors. Among other genes examined, several variants were associated with DR with significant P values, including rs6856425 tagging α-l-iduronidase (IDUA) (P = 2.1 × 10(-5), after Bonferroni correction). However, replication in independent cohorts did not reveal study-wide significant effects. The P values after replication were 0.55 and 0.10 for rs6128 and rs6856425, respectively.

CONCLUSIONS: Genes associated with DN, T2D, and vascular diseases do not appear to be consistently associated with DR. A few genetic variants associated with DR, particularly those in SELP and near IDUA, should be investigated in additional DR cohorts.

%B Invest Ophthalmol Vis Sci %V 52 %P 7593-602 %8 2011 Sep 29 %G eng %N 10 %1 http://www.ncbi.nlm.nih.gov/pubmed/21873659?dopt=Abstract %R 10.1167/iovs.11-7510 %0 Journal Article %J J Am Soc Nephrol %D 2011 %T CUBN is a gene locus for albuminuria. %A Böger, Carsten A %A Chen, Ming-Huei %A Tin, Adrienne %A Olden, Matthias %A Köttgen, Anna %A de Boer, Ian H %A Fuchsberger, Christian %A O'Seaghdha, Conall M %A Pattaro, Cristian %A Teumer, Alexander %A Liu, Ching-Ti %A Glazer, Nicole L %A Li, Man %A O'Connell, Jeffrey R %A Tanaka, Toshiko %A Peralta, Carmen A %A Kutalik, Zoltán %A Luan, Jian'an %A Zhao, Jing Hua %A Hwang, Shih-Jen %A Akylbekova, Ermeg %A Kramer, Holly %A van der Harst, Pim %A Smith, Albert V %A Lohman, Kurt %A de Andrade, Mariza %A Hayward, Caroline %A Kollerits, Barbara %A Tönjes, Anke %A Aspelund, Thor %A Ingelsson, Erik %A Eiriksdottir, Gudny %A Launer, Lenore J %A Harris, Tamara B %A Shuldiner, Alan R %A Mitchell, Braxton D %A Arking, Dan E %A Franceschini, Nora %A Boerwinkle, Eric %A Egan, Josephine %A Hernandez, Dena %A Reilly, Muredach %A Townsend, Raymond R %A Lumley, Thomas %A Siscovick, David S %A Psaty, Bruce M %A Kestenbaum, Bryan %A Haritunians, Talin %A Bergmann, Sven %A Vollenweider, Peter %A Waeber, Gérard %A Mooser, Vincent %A Waterworth, Dawn %A Johnson, Andrew D %A Florez, Jose C %A Meigs, James B %A Lu, Xiaoning %A Turner, Stephen T %A Atkinson, Elizabeth J %A Leak, Tennille S %A Aasarød, Knut %A Skorpen, Frank %A Syvänen, Ann-Christine %A Illig, Thomas %A Baumert, Jens %A Koenig, Wolfgang %A Krämer, Bernhard K %A Devuyst, Olivier %A Mychaleckyj, Josyf C %A Minelli, Cosetta %A Bakker, Stephan J L %A Kedenko, Lyudmyla %A Paulweber, Bernhard %A Coassin, Stefan %A Endlich, Karlhans %A Kroemer, Heyo K %A Biffar, Reiner %A Stracke, Sylvia %A Völzke, Henry %A Stumvoll, Michael %A Mägi, Reedik %A Campbell, Harry %A Vitart, Veronique %A Hastie, Nicholas D %A Gudnason, Vilmundur %A Kardia, Sharon L R %A Liu, Yongmei %A Polasek, Ozren %A Curhan, Gary %A Kronenberg, Florian %A Prokopenko, Inga %A Rudan, Igor %A Arnlöv, Johan %A Hallan, Stein %A Navis, Gerjan %A Parsa, Afshin %A Ferrucci, Luigi %A Coresh, Josef %A Shlipak, Michael G %A Bull, Shelley B %A Paterson, Nicholas J %A Wichmann, H-Erich %A Wareham, Nicholas J %A Loos, Ruth J F %A Rotter, Jerome I %A Pramstaller, Peter P %A Cupples, L Adrienne %A Beckmann, Jacques S %A Yang, Qiong %A Heid, Iris M %A Rettig, Rainer %A Dreisbach, Albert W %A Bochud, Murielle %A Fox, Caroline S %A Kao, W H L %K African Continental Ancestry Group %K Albuminuria %K European Continental Ancestry Group %K Genetic Loci %K Genetic Predisposition to Disease %K Humans %K Mutation, Missense %K Receptors, Cell Surface %X

Identification of genetic risk factors for albuminuria may alter strategies for early prevention of CKD progression, particularly among patients with diabetes. Little is known about the influence of common genetic variants on albuminuria in both general and diabetic populations. We performed a meta-analysis of data from 63,153 individuals of European ancestry with genotype information from genome-wide association studies (CKDGen Consortium) and from a large candidate gene study (CARe Consortium) to identify susceptibility loci for the quantitative trait urinary albumin-to-creatinine ratio (UACR) and the clinical diagnosis microalbuminuria. We identified an association between a missense variant (I2984V) in the CUBN gene, which encodes cubilin, and both UACR (P = 1.1 × 10(-11)) and microalbuminuria (P = 0.001). We observed similar associations among 6981 African Americans in the CARe Consortium. The associations between this variant and both UACR and microalbuminuria were significant in individuals of European ancestry regardless of diabetes status. Finally, this variant associated with a 41% increased risk for the development of persistent microalbuminuria during 20 years of follow-up among 1304 participants with type 1 diabetes in the prospective DCCT/EDIC Study. In summary, we identified a missense CUBN variant that associates with levels of albuminuria in both the general population and in individuals with diabetes.

%B J Am Soc Nephrol %V 22 %P 555-70 %8 2011 Mar %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/21355061?dopt=Abstract %R 10.1681/ASN.2010060598 %0 Journal Article %J Nature %D 2011 %T Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. %A Ehret, Georg B %A Munroe, Patricia B %A Rice, Kenneth M %A Bochud, Murielle %A Johnson, Andrew D %A Chasman, Daniel I %A Smith, Albert V %A Tobin, Martin D %A Verwoert, Germaine C %A Hwang, Shih-Jen %A Pihur, Vasyl %A Vollenweider, Peter %A O'Reilly, Paul F %A Amin, Najaf %A Bragg-Gresham, Jennifer L %A Teumer, Alexander %A Glazer, Nicole L %A Launer, Lenore %A Zhao, Jing Hua %A Aulchenko, Yurii %A Heath, Simon %A Sõber, Siim %A Parsa, Afshin %A Luan, Jian'an %A Arora, Pankaj %A Dehghan, Abbas %A Zhang, Feng %A Lucas, Gavin %A Hicks, Andrew A %A Jackson, Anne U %A Peden, John F %A Tanaka, Toshiko %A Wild, Sarah H %A Rudan, Igor %A Igl, Wilmar %A Milaneschi, Yuri %A Parker, Alex N %A Fava, Cristiano %A Chambers, John C %A Fox, Ervin R %A Kumari, Meena %A Go, Min Jin %A van der Harst, Pim %A Kao, Wen Hong Linda %A Sjögren, Marketa %A Vinay, D G %A Alexander, Myriam %A Tabara, Yasuharu %A Shaw-Hawkins, Sue %A Whincup, Peter H %A Liu, Yongmei %A Shi, Gang %A Kuusisto, Johanna %A Tayo, Bamidele %A Seielstad, Mark %A Sim, Xueling %A Nguyen, Khanh-Dung Hoang %A Lehtimäki, Terho %A Matullo, Giuseppe %A Wu, Ying %A Gaunt, Tom R %A Onland-Moret, N Charlotte %A Cooper, Matthew N %A Platou, Carl G P %A Org, Elin %A Hardy, Rebecca %A Dahgam, Santosh %A Palmen, Jutta %A Vitart, Veronique %A Braund, Peter S %A Kuznetsova, Tatiana %A Uiterwaal, Cuno S P M %A Adeyemo, Adebowale %A Palmas, Walter %A Campbell, Harry %A Ludwig, Barbara %A Tomaszewski, Maciej %A Tzoulaki, Ioanna %A Palmer, Nicholette D %A Aspelund, Thor %A Garcia, Melissa %A Chang, Yen-Pei C %A O'Connell, Jeffrey R %A Steinle, Nanette I %A Grobbee, Diederick E %A Arking, Dan E %A Kardia, Sharon L %A Morrison, Alanna C %A Hernandez, Dena %A Najjar, Samer %A McArdle, Wendy L %A Hadley, David %A Brown, Morris J %A Connell, John M %A Hingorani, Aroon D %A Day, Ian N M %A Lawlor, Debbie A %A Beilby, John P %A Lawrence, Robert W %A Clarke, Robert %A Hopewell, Jemma C %A Ongen, Halit %A Dreisbach, Albert W %A Li, Yali %A Young, J Hunter %A Bis, Joshua C %A Kähönen, Mika %A Viikari, Jorma %A Adair, Linda S %A Lee, Nanette R %A Chen, Ming-Huei %A Olden, Matthias %A Pattaro, Cristian %A Bolton, Judith A Hoffman %A Köttgen, Anna %A Bergmann, Sven %A Mooser, Vincent %A Chaturvedi, Nish %A Frayling, Timothy M %A Islam, Muhammad %A Jafar, Tazeen H %A Erdmann, Jeanette %A Kulkarni, Smita R %A Bornstein, Stefan R %A Grässler, Jürgen %A Groop, Leif %A Voight, Benjamin F %A Kettunen, Johannes %A Howard, Philip %A Taylor, Andrew %A Guarrera, Simonetta %A Ricceri, Fulvio %A Emilsson, Valur %A Plump, Andrew %A Barroso, Inês %A Khaw, Kay-Tee %A Weder, Alan B %A Hunt, Steven C %A Sun, Yan V %A Bergman, Richard N %A Collins, Francis S %A Bonnycastle, Lori L %A Scott, Laura J %A Stringham, Heather M %A Peltonen, Leena %A Perola, Markus %A Vartiainen, Erkki %A Brand, Stefan-Martin %A Staessen, Jan A %A Wang, Thomas J %A Burton, Paul R %A Soler Artigas, Maria %A Dong, Yanbin %A Snieder, Harold %A Wang, Xiaoling %A Zhu, Haidong %A Lohman, Kurt K %A Rudock, Megan E %A Heckbert, Susan R %A Smith, Nicholas L %A Wiggins, Kerri L %A Doumatey, Ayo %A Shriner, Daniel %A Veldre, Gudrun %A Viigimaa, Margus %A Kinra, Sanjay %A Prabhakaran, Dorairaj %A Tripathy, Vikal %A Langefeld, Carl D %A Rosengren, Annika %A Thelle, Dag S %A Corsi, Anna Maria %A Singleton, Andrew %A Forrester, Terrence %A Hilton, Gina %A McKenzie, Colin A %A Salako, Tunde %A Iwai, Naoharu %A Kita, Yoshikuni %A Ogihara, Toshio %A Ohkubo, Takayoshi %A Okamura, Tomonori %A Ueshima, Hirotsugu %A Umemura, Satoshi %A Eyheramendy, Susana %A Meitinger, Thomas %A Wichmann, H-Erich %A Cho, Yoon Shin %A Kim, Hyung-Lae %A Lee, Jong-Young %A Scott, James %A Sehmi, Joban S %A Zhang, Weihua %A Hedblad, Bo %A Nilsson, Peter %A Smith, George Davey %A Wong, Andrew %A Narisu, Narisu %A Stančáková, Alena %A Raffel, Leslie J %A Yao, Jie %A Kathiresan, Sekar %A O'Donnell, Christopher J %A Schwartz, Stephen M %A Ikram, M Arfan %A Longstreth, W T %A Mosley, Thomas H %A Seshadri, Sudha %A Shrine, Nick R G %A Wain, Louise V %A Morken, Mario A %A Swift, Amy J %A Laitinen, Jaana %A Prokopenko, Inga %A Zitting, Paavo %A Cooper, Jackie A %A Humphries, Steve E %A Danesh, John %A Rasheed, Asif %A Goel, Anuj %A Hamsten, Anders %A Watkins, Hugh %A Bakker, Stephan J L %A van Gilst, Wiek H %A Janipalli, Charles S %A Mani, K Radha %A Yajnik, Chittaranjan S %A Hofman, Albert %A Mattace-Raso, Francesco U S %A Oostra, Ben A %A Demirkan, Ayse %A Isaacs, Aaron %A Rivadeneira, Fernando %A Lakatta, Edward G %A Orrù, Marco %A Scuteri, Angelo %A Ala-Korpela, Mika %A Kangas, Antti J %A Lyytikäinen, Leo-Pekka %A Soininen, Pasi %A Tukiainen, Taru %A Würtz, Peter %A Ong, Rick Twee-Hee %A Dörr, Marcus %A Kroemer, Heyo K %A Völker, Uwe %A Völzke, Henry %A Galan, Pilar %A Hercberg, Serge %A Lathrop, Mark %A Zelenika, Diana %A Deloukas, Panos %A Mangino, Massimo %A Spector, Tim D %A Zhai, Guangju %A Meschia, James F %A Nalls, Michael A %A Sharma, Pankaj %A Terzic, Janos %A Kumar, M V Kranthi %A Denniff, Matthew %A Zukowska-Szczechowska, Ewa %A Wagenknecht, Lynne E %A Fowkes, F Gerald R %A Charchar, Fadi J %A Schwarz, Peter E H %A Hayward, Caroline %A Guo, Xiuqing %A Rotimi, Charles %A Bots, Michiel L %A Brand, Eva %A Samani, Nilesh J %A Polasek, Ozren %A Talmud, Philippa J %A Nyberg, Fredrik %A Kuh, Diana %A Laan, Maris %A Hveem, Kristian %A Palmer, Lyle J %A van der Schouw, Yvonne T %A Casas, Juan P %A Mohlke, Karen L %A Vineis, Paolo %A Raitakari, Olli %A Ganesh, Santhi K %A Wong, Tien Y %A Tai, E Shyong %A Cooper, Richard S %A Laakso, Markku %A Rao, Dabeeru C %A Harris, Tamara B %A Morris, Richard W %A Dominiczak, Anna F %A Kivimaki, Mika %A Marmot, Michael G %A Miki, Tetsuro %A Saleheen, Danish %A Chandak, Giriraj R %A Coresh, Josef %A Navis, Gerjan %A Salomaa, Veikko %A Han, Bok-Ghee %A Zhu, Xiaofeng %A Kooner, Jaspal S %A Melander, Olle %A Ridker, Paul M %A Bandinelli, Stefania %A Gyllensten, Ulf B %A Wright, Alan F %A Wilson, James F %A Ferrucci, Luigi %A Farrall, Martin %A Tuomilehto, Jaakko %A Pramstaller, Peter P %A Elosua, Roberto %A Soranzo, Nicole %A Sijbrands, Eric J G %A Altshuler, David %A Loos, Ruth J F %A Shuldiner, Alan R %A Gieger, Christian %A Meneton, Pierre %A Uitterlinden, André G %A Wareham, Nicholas J %A Gudnason, Vilmundur %A Rotter, Jerome I %A Rettig, Rainer %A Uda, Manuela %A Strachan, David P %A Witteman, Jacqueline C M %A Hartikainen, Anna-Liisa %A Beckmann, Jacques S %A Boerwinkle, Eric %A Vasan, Ramachandran S %A Boehnke, Michael %A Larson, Martin G %A Jarvelin, Marjo-Riitta %A Psaty, Bruce M %A Abecasis, Goncalo R %A Chakravarti, Aravinda %A Elliott, Paul %A van Duijn, Cornelia M %A Newton-Cheh, Christopher %A Levy, Daniel %A Caulfield, Mark J %A Johnson, Toby %K Africa %K Asia %K Blood Pressure %K Cardiovascular Diseases %K Coronary Artery Disease %K Europe %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Hypertension %K Kidney Diseases %K Polymorphism, Single Nucleotide %K Stroke %X

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.

%B Nature %V 478 %P 103-9 %8 2011 Sep 11 %G eng %N 7367 %1 http://www.ncbi.nlm.nih.gov/pubmed/21909115?dopt=Abstract %R 10.1038/nature10405 %0 Journal Article %J Ann Neurol %D 2011 %T Genome-wide association studies of cerebral white matter lesion burden: the CHARGE consortium. %A Fornage, Myriam %A Debette, Stephanie %A Bis, Joshua C %A Schmidt, Helena %A Ikram, M Arfan %A Dufouil, Carole %A Sigurdsson, Sigurdur %A Lumley, Thomas %A DeStefano, Anita L %A Fazekas, Franz %A Vrooman, Henri A %A Shibata, Dean K %A Maillard, Pauline %A Zijdenbos, Alex %A Smith, Albert V %A Gudnason, Haukur %A de Boer, Renske %A Cushman, Mary %A Mazoyer, Bernard %A Heiss, Gerardo %A Vernooij, Meike W %A Enzinger, Christian %A Glazer, Nicole L %A Beiser, Alexa %A Knopman, David S %A Cavalieri, Margherita %A Niessen, Wiro J %A Harris, Tamara B %A Petrovic, Katja %A Lopez, Oscar L %A Au, Rhoda %A Lambert, Jean-Charles %A Hofman, Albert %A Gottesman, Rebecca F %A Garcia, Melissa %A Heckbert, Susan R %A Atwood, Larry D %A Catellier, Diane J %A Uitterlinden, André G %A Yang, Qiong %A Smith, Nicholas L %A Aspelund, Thor %A Romero, Jose R %A Rice, Kenneth %A Taylor, Kent D %A Nalls, Michael A %A Rotter, Jerome I %A Sharrett, Richey %A van Duijn, Cornelia M %A Amouyel, Philippe %A Wolf, Philip A %A Gudnason, Vilmundur %A van der Lugt, Aad %A Boerwinkle, Eric %A Psaty, Bruce M %A Seshadri, Sudha %A Tzourio, Christophe %A Breteler, Monique M B %A Mosley, Thomas H %A Schmidt, Reinhold %A Longstreth, W T %A DeCarli, Charles %A Launer, Lenore J %K Aged %K Aged, 80 and over %K Cerebral Cortex %K Chromosomes, Human, Pair 17 %K Cognition Disorders %K Cohort Studies %K European Continental Ancestry Group %K Female %K Gene Frequency %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Leukoencephalopathies %K Magnetic Resonance Imaging %K Male %K Middle Aged %K Movement Disorders %K Nerve Fibers, Myelinated %K Polymorphism, Single Nucleotide %K Residence Characteristics %K RNA, Messenger %X

OBJECTIVE: White matter hyperintensities (WMHs) detectable by magnetic resonance imaging are part of the spectrum of vascular injury associated with aging of the brain and are thought to reflect ischemic damage to the small deep cerebral vessels. WMHs are associated with an increased risk of cognitive and motor dysfunction, dementia, depression, and stroke. Despite a significant heritability, few genetic loci influencing WMH burden have been identified.

METHODS: We performed a meta-analysis of genome-wide association studies (GWASs) for WMH burden in 9,361 stroke-free individuals of European descent from 7 community-based cohorts. Significant findings were tested for replication in 3,024 individuals from 2 additional cohorts.

RESULTS: We identified 6 novel risk-associated single nucleotide polymorphisms (SNPs) in 1 locus on chromosome 17q25 encompassing 6 known genes including WBP2, TRIM65, TRIM47, MRPL38, FBF1, and ACOX1. The most significant association was for rs3744028 (p(discovery) = 4.0 × 10(-9) ; p(replication) = 1.3 × 10(-7) ; p(combined) = 4.0 × 10(-15) ). Other SNPs in this region also reaching genome-wide significance were rs9894383 (p = 5.3 × 10(-9) ), rs11869977 (p = 5.7 × 10(-9) ), rs936393 (p = 6.8 × 10(-9) ), rs3744017 (p = 7.3 × 10(-9) ), and rs1055129 (p = 4.1 × 10(-8) ). Variant alleles at these loci conferred a small increase in WMH burden (4-8% of the overall mean WMH burden in the sample).

INTERPRETATION: This large GWAS of WMH burden in community-based cohorts of individuals of European descent identifies a novel locus on chromosome 17. Further characterization of this locus may provide novel insights into the pathogenesis of cerebral WMH.

%B Ann Neurol %V 69 %P 928-39 %8 2011 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/21681796?dopt=Abstract %R 10.1002/ana.22403 %0 Journal Article %J Nat Genet %D 2011 %T Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure. %A Wain, Louise V %A Verwoert, Germaine C %A O'Reilly, Paul F %A Shi, Gang %A Johnson, Toby %A Johnson, Andrew D %A Bochud, Murielle %A Rice, Kenneth M %A Henneman, Peter %A Smith, Albert V %A Ehret, Georg B %A Amin, Najaf %A Larson, Martin G %A Mooser, Vincent %A Hadley, David %A Dörr, Marcus %A Bis, Joshua C %A Aspelund, Thor %A Esko, Tõnu %A Janssens, A Cecile J W %A Zhao, Jing Hua %A Heath, Simon %A Laan, Maris %A Fu, Jingyuan %A Pistis, Giorgio %A Luan, Jian'an %A Arora, Pankaj %A Lucas, Gavin %A Pirastu, Nicola %A Pichler, Irene %A Jackson, Anne U %A Webster, Rebecca J %A Zhang, Feng %A Peden, John F %A Schmidt, Helena %A Tanaka, Toshiko %A Campbell, Harry %A Igl, Wilmar %A Milaneschi, Yuri %A Hottenga, Jouke-Jan %A Vitart, Veronique %A Chasman, Daniel I %A Trompet, Stella %A Bragg-Gresham, Jennifer L %A Alizadeh, Behrooz Z %A Chambers, John C %A Guo, Xiuqing %A Lehtimäki, Terho %A Kuhnel, Brigitte %A Lopez, Lorna M %A Polasek, Ozren %A Boban, Mladen %A Nelson, Christopher P %A Morrison, Alanna C %A Pihur, Vasyl %A Ganesh, Santhi K %A Hofman, Albert %A Kundu, Suman %A Mattace-Raso, Francesco U S %A Rivadeneira, Fernando %A Sijbrands, Eric J G %A Uitterlinden, André G %A Hwang, Shih-Jen %A Vasan, Ramachandran S %A Wang, Thomas J %A Bergmann, Sven %A Vollenweider, Peter %A Waeber, Gérard %A Laitinen, Jaana %A Pouta, Anneli %A Zitting, Paavo %A McArdle, Wendy L %A Kroemer, Heyo K %A Völker, Uwe %A Völzke, Henry %A Glazer, Nicole L %A Taylor, Kent D %A Harris, Tamara B %A Alavere, Helene %A Haller, Toomas %A Keis, Aime %A Tammesoo, Mari-Liis %A Aulchenko, Yurii %A Barroso, Inês %A Khaw, Kay-Tee %A Galan, Pilar %A Hercberg, Serge %A Lathrop, Mark %A Eyheramendy, Susana %A Org, Elin %A Sõber, Siim %A Lu, Xiaowen %A Nolte, Ilja M %A Penninx, Brenda W %A Corre, Tanguy %A Masciullo, Corrado %A Sala, Cinzia %A Groop, Leif %A Voight, Benjamin F %A Melander, Olle %A O'Donnell, Christopher J %A Salomaa, Veikko %A d'Adamo, Adamo Pio %A Fabretto, Antonella %A Faletra, Flavio %A Ulivi, Sheila %A Del Greco, Fabiola M %A Facheris, Maurizio %A Collins, Francis S %A Bergman, Richard N %A Beilby, John P %A Hung, Joseph %A Musk, A William %A Mangino, Massimo %A Shin, So-Youn %A Soranzo, Nicole %A Watkins, Hugh %A Goel, Anuj %A Hamsten, Anders %A Gider, Pierre %A Loitfelder, Marisa %A Zeginigg, Marion %A Hernandez, Dena %A Najjar, Samer S %A Navarro, Pau %A Wild, Sarah H %A Corsi, Anna Maria %A Singleton, Andrew %A de Geus, Eco J C %A Willemsen, Gonneke %A Parker, Alex N %A Rose, Lynda M %A Buckley, Brendan %A Stott, David %A Orrù, Marco %A Uda, Manuela %A van der Klauw, Melanie M %A Zhang, Weihua %A Li, Xinzhong %A Scott, James %A Chen, Yii-Der Ida %A Burke, Gregory L %A Kähönen, Mika %A Viikari, Jorma %A Döring, Angela %A Meitinger, Thomas %A Davies, Gail %A Starr, John M %A Emilsson, Valur %A Plump, Andrew %A Lindeman, Jan H %A Hoen, Peter A C 't %A König, Inke R %A Felix, Janine F %A Clarke, Robert %A Hopewell, Jemma C %A Ongen, Halit %A Breteler, Monique %A Debette, Stephanie %A DeStefano, Anita L %A Fornage, Myriam %A Mitchell, Gary F %A Smith, Nicholas L %A Holm, Hilma %A Stefansson, Kari %A Thorleifsson, Gudmar %A Thorsteinsdottir, Unnur %A Samani, Nilesh J %A Preuss, Michael %A Rudan, Igor %A Hayward, Caroline %A Deary, Ian J %A Wichmann, H-Erich %A Raitakari, Olli T %A Palmas, Walter %A Kooner, Jaspal S %A Stolk, Ronald P %A Jukema, J Wouter %A Wright, Alan F %A Boomsma, Dorret I %A Bandinelli, Stefania %A Gyllensten, Ulf B %A Wilson, James F %A Ferrucci, Luigi %A Schmidt, Reinhold %A Farrall, Martin %A Spector, Tim D %A Palmer, Lyle J %A Tuomilehto, Jaakko %A Pfeufer, Arne %A Gasparini, Paolo %A Siscovick, David %A Altshuler, David %A Loos, Ruth J F %A Toniolo, Daniela %A Snieder, Harold %A Gieger, Christian %A Meneton, Pierre %A Wareham, Nicholas J %A Oostra, Ben A %A Metspalu, Andres %A Launer, Lenore %A Rettig, Rainer %A Strachan, David P %A Beckmann, Jacques S %A Witteman, Jacqueline C M %A Erdmann, Jeanette %A van Dijk, Ko Willems %A Boerwinkle, Eric %A Boehnke, Michael %A Ridker, Paul M %A Jarvelin, Marjo-Riitta %A Chakravarti, Aravinda %A Abecasis, Goncalo R %A Gudnason, Vilmundur %A Newton-Cheh, Christopher %A Levy, Daniel %A Munroe, Patricia B %A Psaty, Bruce M %A Caulfield, Mark J %A Rao, Dabeeru C %A Tobin, Martin D %A Elliott, Paul %A van Duijn, Cornelia M %K Arteries %K Blood Pressure %K Case-Control Studies %K Follow-Up Studies %K Genetic Loci %K Genome-Wide Association Study %K Humans %K Hypertension %K Linkage Disequilibrium %K Polymorphism, Single Nucleotide %X

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.

%B Nat Genet %V 43 %P 1005-11 %8 2011 Sep 11 %G eng %N 10 %1 http://www.ncbi.nlm.nih.gov/pubmed/21909110?dopt=Abstract %R 10.1038/ng.922 %0 Journal Article %J Neurobiol Aging %D 2011 %T A genome-wide association study of aging. %A Walter, Stefan %A Atzmon, Gil %A Demerath, Ellen W %A Garcia, Melissa E %A Kaplan, Robert C %A Kumari, Meena %A Lunetta, Kathryn L %A Milaneschi, Yuri %A Tanaka, Toshiko %A Tranah, Gregory J %A Völker, Uwe %A Yu, Lei %A Arnold, Alice %A Benjamin, Emelia J %A Biffar, Reiner %A Buchman, Aron S %A Boerwinkle, Eric %A Couper, David %A De Jager, Philip L %A Evans, Denis A %A Harris, Tamara B %A Hoffmann, Wolfgang %A Hofman, Albert %A Karasik, David %A Kiel, Douglas P %A Kocher, Thomas %A Kuningas, Maris %A Launer, Lenore J %A Lohman, Kurt K %A Lutsey, Pamela L %A Mackenbach, Johan %A Marciante, Kristin %A Psaty, Bruce M %A Reiman, Eric M %A Rotter, Jerome I %A Seshadri, Sudha %A Shardell, Michelle D %A Smith, Albert V %A van Duijn, Cornelia %A Walston, Jeremy %A Zillikens, M Carola %A Bandinelli, Stefania %A Baumeister, Sebastian E %A Bennett, David A %A Ferrucci, Luigi %A Gudnason, Vilmundur %A Kivimaki, Mika %A Liu, Yongmei %A Murabito, Joanne M %A Newman, Anne B %A Tiemeier, Henning %A Franceschini, Nora %K Aging %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Longevity %X

Human longevity and healthy aging show moderate heritability (20%-50%). We conducted a meta-analysis of genome-wide association studies from 9 studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium for 2 outcomes: (1) all-cause mortality, and (2) survival free of major disease or death. No single nucleotide polymorphism (SNP) was a genome-wide significant predictor of either outcome (p < 5 × 10(-8)). We found 14 independent SNPs that predicted risk of death, and 8 SNPs that predicted event-free survival (p < 10(-5)). These SNPs are in or near genes that are highly expressed in the brain (HECW2, HIP1, BIN2, GRIA1), genes involved in neural development and function (KCNQ4, LMO4, GRIA1, NETO1) and autophagy (ATG4C), and genes that are associated with risk of various diseases including cancer and Alzheimer's disease. In addition to considerable overlap between the traits, pathway and network analysis corroborated these findings. These findings indicate that variation in genes involved in neurological processes may be an important factor in regulating aging free of major disease and achieving longevity.

%B Neurobiol Aging %V 32 %P 2109.e15-28 %8 2011 Nov %G eng %N 11 %1 http://www.ncbi.nlm.nih.gov/pubmed/21782286?dopt=Abstract %R 10.1016/j.neurobiolaging.2011.05.026 %0 Journal Article %J Nat Genet %D 2011 %T Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque. %A Bis, Joshua C %A Kavousi, Maryam %A Franceschini, Nora %A Isaacs, Aaron %A Abecasis, Goncalo R %A Schminke, Ulf %A Post, Wendy S %A Smith, Albert V %A Cupples, L Adrienne %A Markus, Hugh S %A Schmidt, Reinhold %A Huffman, Jennifer E %A Lehtimäki, Terho %A Baumert, Jens %A Münzel, Thomas %A Heckbert, Susan R %A Dehghan, Abbas %A North, Kari %A Oostra, Ben %A Bevan, Steve %A Stoegerer, Eva-Maria %A Hayward, Caroline %A Raitakari, Olli %A Meisinger, Christa %A Schillert, Arne %A Sanna, Serena %A Völzke, Henry %A Cheng, Yu-Ching %A Thorsson, Bolli %A Fox, Caroline S %A Rice, Kenneth %A Rivadeneira, Fernando %A Nambi, Vijay %A Halperin, Eran %A Petrovic, Katja E %A Peltonen, Leena %A Wichmann, H Erich %A Schnabel, Renate B %A Dörr, Marcus %A Parsa, Afshin %A Aspelund, Thor %A Demissie, Serkalem %A Kathiresan, Sekar %A Reilly, Muredach P %A Taylor, Kent %A Uitterlinden, Andre %A Couper, David J %A Sitzer, Matthias %A Kähönen, Mika %A Illig, Thomas %A Wild, Philipp S %A Orrù, Marco %A Lüdemann, Jan %A Shuldiner, Alan R %A Eiriksdottir, Gudny %A White, Charles C %A Rotter, Jerome I %A Hofman, Albert %A Seissler, Jochen %A Zeller, Tanja %A Usala, Gianluca %A Ernst, Florian %A Launer, Lenore J %A D'Agostino, Ralph B %A O'Leary, Daniel H %A Ballantyne, Christie %A Thiery, Joachim %A Ziegler, Andreas %A Lakatta, Edward G %A Chilukoti, Ravi Kumar %A Harris, Tamara B %A Wolf, Philip A %A Psaty, Bruce M %A Polak, Joseph F %A Li, Xia %A Rathmann, Wolfgang %A Uda, Manuela %A Boerwinkle, Eric %A Klopp, Norman %A Schmidt, Helena %A Wilson, James F %A Viikari, Jorma %A Koenig, Wolfgang %A Blankenberg, Stefan %A Newman, Anne B %A Witteman, Jacqueline %A Heiss, Gerardo %A Duijn, Cornelia van %A Scuteri, Angelo %A Homuth, Georg %A Mitchell, Braxton D %A Gudnason, Vilmundur %A O'Donnell, Christopher J %K Adult %K Aged %K Aging %K Atherosclerosis %K Carotid Intima-Media Thickness %K Cohort Studies %K Coronary Artery Disease %K European Continental Ancestry Group %K Genetic Loci %K Genetic Predisposition to Disease %K Genome, Human %K Genome-Wide Association Study %K Genotype %K Heart %K Humans %K Middle Aged %K Phenotype %K Plaque, Atherosclerotic %K Polymorphism, Single Nucleotide %K Risk Factors %X

Carotid intima media thickness (cIMT) and plaque determined by ultrasonography are established measures of subclinical atherosclerosis that each predicts future cardiovascular disease events. We conducted a meta-analysis of genome-wide association data in 31,211 participants of European ancestry from nine large studies in the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. We then sought additional evidence to support our findings among 11,273 individuals using data from seven additional studies. In the combined meta-analysis, we identified three genomic regions associated with common carotid intima media thickness and two different regions associated with the presence of carotid plaque (P < 5 × 10(-8)). The associated SNPs mapped in or near genes related to cellular signaling, lipid metabolism and blood pressure homeostasis, and two of the regions were associated with coronary artery disease (P < 0.006) in the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) consortium. Our findings may provide new insight into pathways leading to subclinical atherosclerosis and subsequent cardiovascular events.

%B Nat Genet %V 43 %P 940-7 %8 2011 Sep 11 %G eng %N 10 %1 http://www.ncbi.nlm.nih.gov/pubmed/21909108?dopt=Abstract %R 10.1038/ng.920 %0 Journal Article %J Circulation %D 2011 %T Meta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels. %A Dehghan, Abbas %A Dupuis, Josée %A Barbalic, Maja %A Bis, Joshua C %A Eiriksdottir, Gudny %A Lu, Chen %A Pellikka, Niina %A Wallaschofski, Henri %A Kettunen, Johannes %A Henneman, Peter %A Baumert, Jens %A Strachan, David P %A Fuchsberger, Christian %A Vitart, Veronique %A Wilson, James F %A Paré, Guillaume %A Naitza, Silvia %A Rudock, Megan E %A Surakka, Ida %A de Geus, Eco J C %A Alizadeh, Behrooz Z %A Guralnik, Jack %A Shuldiner, Alan %A Tanaka, Toshiko %A Zee, Robert Y L %A Schnabel, Renate B %A Nambi, Vijay %A Kavousi, Maryam %A Ripatti, Samuli %A Nauck, Matthias %A Smith, Nicholas L %A Smith, Albert V %A Sundvall, Jouko %A Scheet, Paul %A Liu, Yongmei %A Ruokonen, Aimo %A Rose, Lynda M %A Larson, Martin G %A Hoogeveen, Ron C %A Freimer, Nelson B %A Teumer, Alexander %A Tracy, Russell P %A Launer, Lenore J %A Buring, Julie E %A Yamamoto, Jennifer F %A Folsom, Aaron R %A Sijbrands, Eric J G %A Pankow, James %A Elliott, Paul %A Keaney, John F %A Sun, Wei %A Sarin, Antti-Pekka %A Fontes, João D %A Badola, Sunita %A Astor, Brad C %A Hofman, Albert %A Pouta, Anneli %A Werdan, Karl %A Greiser, Karin H %A Kuss, Oliver %A Meyer zu Schwabedissen, Henriette E %A Thiery, Joachim %A Jamshidi, Yalda %A Nolte, Ilja M %A Soranzo, Nicole %A Spector, Timothy D %A Völzke, Henry %A Parker, Alexander N %A Aspelund, Thor %A Bates, David %A Young, Lauren %A Tsui, Kim %A Siscovick, David S %A Guo, Xiuqing %A Rotter, Jerome I %A Uda, Manuela %A Schlessinger, David %A Rudan, Igor %A Hicks, Andrew A %A Penninx, Brenda W %A Thorand, Barbara %A Gieger, Christian %A Coresh, Joe %A Willemsen, Gonneke %A Harris, Tamara B %A Uitterlinden, André G %A Jarvelin, Marjo-Riitta %A Rice, Kenneth %A Radke, Dörte %A Salomaa, Veikko %A Willems van Dijk, Ko %A Boerwinkle, Eric %A Vasan, Ramachandran S %A Ferrucci, Luigi %A Gibson, Quince D %A Bandinelli, Stefania %A Snieder, Harold %A Boomsma, Dorret I %A Xiao, Xiangjun %A Campbell, Harry %A Hayward, Caroline %A Pramstaller, Peter P %A van Duijn, Cornelia M %A Peltonen, Leena %A Psaty, Bruce M %A Gudnason, Vilmundur %A Ridker, Paul M %A Homuth, Georg %A Koenig, Wolfgang %A Ballantyne, Christie M %A Witteman, Jacqueline C M %A Benjamin, Emelia J %A Perola, Markus %A Chasman, Daniel I %K Biomarkers %K C-Reactive Protein %K Cardiovascular Diseases %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Risk Factors %K Vasculitis %X

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.

%B Circulation %V 123 %P 731-8 %8 2011 Feb 22 %G eng %N 7 %1 http://www.ncbi.nlm.nih.gov/pubmed/21300955?dopt=Abstract %R 10.1161/CIRCULATIONAHA.110.948570 %0 Journal Article %J PLoS Genet %D 2012 %T Genome-wide association and functional follow-up reveals new loci for kidney function. %A Pattaro, Cristian %A Köttgen, Anna %A Teumer, Alexander %A Garnaas, Maija %A Böger, Carsten A %A Fuchsberger, Christian %A Olden, Matthias %A Chen, Ming-Huei %A Tin, Adrienne %A Taliun, Daniel %A Li, Man %A Gao, Xiaoyi %A Gorski, Mathias %A Yang, Qiong %A Hundertmark, Claudia %A Foster, Meredith C %A O'Seaghdha, Conall M %A Glazer, Nicole %A Isaacs, Aaron %A Liu, Ching-Ti %A Smith, Albert V %A O'Connell, Jeffrey R %A Struchalin, Maksim %A Tanaka, Toshiko %A Li, Guo %A Johnson, Andrew D %A Gierman, Hinco J %A Feitosa, Mary %A Hwang, Shih-Jen %A Atkinson, Elizabeth J %A Lohman, Kurt %A Cornelis, Marilyn C %A Johansson, Asa %A Tönjes, Anke %A Dehghan, Abbas %A Chouraki, Vincent %A Holliday, Elizabeth G %A Sorice, Rossella %A Kutalik, Zoltán %A Lehtimäki, Terho %A Esko, Tõnu %A Deshmukh, Harshal %A Ulivi, Sheila %A Chu, Audrey Y %A Murgia, Federico %A Trompet, Stella %A Imboden, Medea %A Kollerits, Barbara %A Pistis, Giorgio %A Harris, Tamara B %A Launer, Lenore J %A Aspelund, Thor %A Eiriksdottir, Gudny %A Mitchell, Braxton D %A Boerwinkle, Eric %A Schmidt, Helena %A Cavalieri, Margherita %A Rao, Madhumathi %A Hu, Frank B %A Demirkan, Ayse %A Oostra, Ben A %A de Andrade, Mariza %A Turner, Stephen T %A Ding, Jingzhong %A Andrews, Jeanette S %A Freedman, Barry I %A Koenig, Wolfgang %A Illig, Thomas %A Döring, Angela %A Wichmann, H-Erich %A Kolcic, Ivana %A Zemunik, Tatijana %A Boban, Mladen %A Minelli, Cosetta %A Wheeler, Heather E %A Igl, Wilmar %A Zaboli, Ghazal %A Wild, Sarah H %A Wright, Alan F %A Campbell, Harry %A Ellinghaus, David %A Nöthlings, Ute %A Jacobs, Gunnar %A Biffar, Reiner %A Endlich, Karlhans %A Ernst, Florian %A Homuth, Georg %A Kroemer, Heyo K %A Nauck, Matthias %A Stracke, Sylvia %A Völker, Uwe %A Völzke, Henry %A Kovacs, Peter %A Stumvoll, Michael %A Mägi, Reedik %A Hofman, Albert %A Uitterlinden, André G %A Rivadeneira, Fernando %A Aulchenko, Yurii S %A Polasek, Ozren %A Hastie, Nick %A Vitart, Veronique %A Helmer, Catherine %A Wang, Jie Jin %A Ruggiero, Daniela %A Bergmann, Sven %A Kähönen, Mika %A Viikari, Jorma %A Nikopensius, Tiit %A Province, Michael %A Ketkar, Shamika %A Colhoun, Helen %A Doney, Alex %A Robino, Antonietta %A Giulianini, Franco %A Krämer, Bernhard K %A Portas, Laura %A Ford, Ian %A Buckley, Brendan M %A Adam, Martin %A Thun, Gian-Andri %A Paulweber, Bernhard %A Haun, Margot %A Sala, Cinzia %A Metzger, Marie %A Mitchell, Paul %A Ciullo, Marina %A Kim, Stuart K %A Vollenweider, Peter %A Raitakari, Olli %A Metspalu, Andres %A Palmer, Colin %A Gasparini, Paolo %A Pirastu, Mario %A Jukema, J Wouter %A Probst-Hensch, Nicole M %A Kronenberg, Florian %A Toniolo, Daniela %A Gudnason, Vilmundur %A Shuldiner, Alan R %A Coresh, Josef %A Schmidt, Reinhold %A Ferrucci, Luigi %A Siscovick, David S %A van Duijn, Cornelia M %A Borecki, Ingrid %A Kardia, Sharon L R %A Liu, Yongmei %A Curhan, Gary C %A Rudan, Igor %A Gyllensten, Ulf %A Wilson, James F %A Franke, Andre %A Pramstaller, Peter P %A Rettig, Rainer %A Prokopenko, Inga %A Witteman, Jacqueline C M %A Hayward, Caroline %A Ridker, Paul %A Parsa, Afshin %A Bochud, Murielle %A Heid, Iris M %A Goessling, Wolfram %A Chasman, Daniel I %A Kao, W H Linda %A Fox, Caroline S %K African Americans %K Aged %K Animals %K Caspase 9 %K Cyclin-Dependent Kinases %K DEAD-box RNA Helicases %K DNA Helicases %K European Continental Ancestry Group %K Female %K Follow-Up Studies %K Gene Knockdown Techniques %K Genome-Wide Association Study %K Glomerular Filtration Rate %K Humans %K Kidney %K Kidney Failure, Chronic %K Male %K Middle Aged %K Phosphoric Diester Hydrolases %K Zebrafish %X

Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD.

%B PLoS Genet %V 8 %P e1002584 %8 2012 %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/22479191?dopt=Abstract %R 10.1371/journal.pgen.1002584 %0 Journal Article %J PLoS Genet %D 2012 %T Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function. %A Hancock, Dana B %A Soler Artigas, Maria %A Gharib, Sina A %A Henry, Amanda %A Manichaikul, Ani %A Ramasamy, Adaikalavan %A Loth, Daan W %A Imboden, Medea %A Koch, Beate %A McArdle, Wendy L %A Smith, Albert V %A Smolonska, Joanna %A Sood, Akshay %A Tang, Wenbo %A Wilk, Jemma B %A Zhai, Guangju %A Zhao, Jing Hua %A Aschard, Hugues %A Burkart, Kristin M %A Curjuric, Ivan %A Eijgelsheim, Mark %A Elliott, Paul %A Gu, Xiangjun %A Harris, Tamara B %A Janson, Christer %A Homuth, Georg %A Hysi, Pirro G %A Liu, Jason Z %A Loehr, Laura R %A Lohman, Kurt %A Loos, Ruth J F %A Manning, Alisa K %A Marciante, Kristin D %A Obeidat, Ma'en %A Postma, Dirkje S %A Aldrich, Melinda C %A Brusselle, Guy G %A Chen, Ting-Hsu %A Eiriksdottir, Gudny %A Franceschini, Nora %A Heinrich, Joachim %A Rotter, Jerome I %A Wijmenga, Cisca %A Williams, O Dale %A Bentley, Amy R %A Hofman, Albert %A Laurie, Cathy C %A Lumley, Thomas %A Morrison, Alanna C %A Joubert, Bonnie R %A Rivadeneira, Fernando %A Couper, David J %A Kritchevsky, Stephen B %A Liu, Yongmei %A Wjst, Matthias %A Wain, Louise V %A Vonk, Judith M %A Uitterlinden, André G %A Rochat, Thierry %A Rich, Stephen S %A Psaty, Bruce M %A O'Connor, George T %A North, Kari E %A Mirel, Daniel B %A Meibohm, Bernd %A Launer, Lenore J %A Khaw, Kay-Tee %A Hartikainen, Anna-Liisa %A Hammond, Christopher J %A Gläser, Sven %A Marchini, Jonathan %A Kraft, Peter %A Wareham, Nicholas J %A Völzke, Henry %A Stricker, Bruno H C %A Spector, Timothy D %A Probst-Hensch, Nicole M %A Jarvis, Deborah %A Jarvelin, Marjo-Riitta %A Heckbert, Susan R %A Gudnason, Vilmundur %A Boezen, H Marike %A Barr, R Graham %A Cassano, Patricia A %A Strachan, David P %A Fornage, Myriam %A Hall, Ian P %A Dupuis, Josée %A Tobin, Martin D %A London, Stephanie J %K Forced Expiratory Volume %K Gene Expression %K Genome, Human %K Genome-Wide Association Study %K HLA-DQ Antigens %K HLA-DQ beta-Chains %K Humans %K Lung %K Nerve Tissue Proteins %K Polymorphism, Single Nucleotide %K Potassium Channels, Inwardly Rectifying %K Pulmonary Disease, Chronic Obstructive %K Receptors, Cell Surface %K Smoking %K SOX9 Transcription Factor %K Vital Capacity %X

Genome-wide association studies have identified numerous genetic loci for spirometic measures of pulmonary function, forced expiratory volume in one second (FEV(1)), and its ratio to forced vital capacity (FEV(1)/FVC). Given that cigarette smoking adversely affects pulmonary function, we conducted genome-wide joint meta-analyses (JMA) of single nucleotide polymorphism (SNP) and SNP-by-smoking (ever-smoking or pack-years) associations on FEV(1) and FEV(1)/FVC across 19 studies (total N = 50,047). We identified three novel loci not previously associated with pulmonary function. SNPs in or near DNER (smallest P(JMA = )5.00×10(-11)), HLA-DQB1 and HLA-DQA2 (smallest P(JMA = )4.35×10(-9)), and KCNJ2 and SOX9 (smallest P(JMA = )1.28×10(-8)) were associated with FEV(1)/FVC or FEV(1) in meta-analysis models including SNP main effects, smoking main effects, and SNP-by-smoking (ever-smoking or pack-years) interaction. The HLA region has been widely implicated for autoimmune and lung phenotypes, unlike the other novel loci, which have not been widely implicated. We evaluated DNER, KCNJ2, and SOX9 and found them to be expressed in human lung tissue. DNER and SOX9 further showed evidence of differential expression in human airway epithelium in smokers compared to non-smokers. Our findings demonstrated that joint testing of SNP and SNP-by-environment interaction identified novel loci associated with complex traits that are missed when considering only the genetic main effects.

%B PLoS Genet %V 8 %P e1003098 %8 2012 %G eng %N 12 %1 http://www.ncbi.nlm.nih.gov/pubmed/23284291?dopt=Abstract %R 10.1371/journal.pgen.1003098 %0 Journal Article %J Nat Genet %D 2012 %T Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture. %A Estrada, Karol %A Styrkarsdottir, Unnur %A Evangelou, Evangelos %A Hsu, Yi-Hsiang %A Duncan, Emma L %A Ntzani, Evangelia E %A Oei, Ling %A Albagha, Omar M E %A Amin, Najaf %A Kemp, John P %A Koller, Daniel L %A Li, Guo %A Liu, Ching-Ti %A Minster, Ryan L %A Moayyeri, Alireza %A Vandenput, Liesbeth %A Willner, Dana %A Xiao, Su-Mei %A Yerges-Armstrong, Laura M %A Zheng, Hou-Feng %A Alonso, Nerea %A Eriksson, Joel %A Kammerer, Candace M %A Kaptoge, Stephen K %A Leo, Paul J %A Thorleifsson, Gudmar %A Wilson, Scott G %A Wilson, James F %A Aalto, Ville %A Alen, Markku %A Aragaki, Aaron K %A Aspelund, Thor %A Center, Jacqueline R %A Dailiana, Zoe %A Duggan, David J %A Garcia, Melissa %A García-Giralt, Natalia %A Giroux, Sylvie %A Hallmans, Göran %A Hocking, Lynne J %A Husted, Lise Bjerre %A Jameson, Karen A %A Khusainova, Rita %A Kim, Ghi Su %A Kooperberg, Charles %A Koromila, Theodora %A Kruk, Marcin %A Laaksonen, Marika %A LaCroix, Andrea Z %A Lee, Seung Hun %A Leung, Ping C %A Lewis, Joshua R %A Masi, Laura %A Mencej-Bedrac, Simona %A Nguyen, Tuan V %A Nogues, Xavier %A Patel, Millan S %A Prezelj, Janez %A Rose, Lynda M %A Scollen, Serena %A Siggeirsdottir, Kristin %A Smith, Albert V %A Svensson, Olle %A Trompet, Stella %A Trummer, Olivia %A van Schoor, Natasja M %A Woo, Jean %A Zhu, Kun %A Balcells, Susana %A Brandi, Maria Luisa %A Buckley, Brendan M %A Cheng, Sulin %A Christiansen, Claus %A Cooper, Cyrus %A Dedoussis, George %A Ford, Ian %A Frost, Morten %A Goltzman, David %A González-Macías, Jesús %A Kähönen, Mika %A Karlsson, Magnus %A Khusnutdinova, Elza %A Koh, Jung-Min %A Kollia, Panagoula %A Langdahl, Bente Lomholt %A Leslie, William D %A Lips, Paul %A Ljunggren, Osten %A Lorenc, Roman S %A Marc, Janja %A Mellström, Dan %A Obermayer-Pietsch, Barbara %A Olmos, José M %A Pettersson-Kymmer, Ulrika %A Reid, David M %A Riancho, José A %A Ridker, Paul M %A Rousseau, François %A Slagboom, P Eline %A Tang, Nelson L S %A Urreizti, Roser %A Van Hul, Wim %A Viikari, Jorma %A Zarrabeitia, María T %A Aulchenko, Yurii S %A Castano-Betancourt, Martha %A Grundberg, Elin %A Herrera, Lizbeth %A Ingvarsson, Thorvaldur %A Johannsdottir, Hrefna %A Kwan, Tony %A Li, Rui %A Luben, Robert %A Medina-Gómez, Carolina %A Palsson, Stefan Th %A Reppe, Sjur %A Rotter, Jerome I %A Sigurdsson, Gunnar %A van Meurs, Joyce B J %A Verlaan, Dominique %A Williams, Frances M K %A Wood, Andrew R %A Zhou, Yanhua %A Gautvik, Kaare M %A Pastinen, Tomi %A Raychaudhuri, Soumya %A Cauley, Jane A %A Chasman, Daniel I %A Clark, Graeme R %A Cummings, Steven R %A Danoy, Patrick %A Dennison, Elaine M %A Eastell, Richard %A Eisman, John A %A Gudnason, Vilmundur %A Hofman, Albert %A Jackson, Rebecca D %A Jones, Graeme %A Jukema, J Wouter %A Khaw, Kay-Tee %A Lehtimäki, Terho %A Liu, Yongmei %A Lorentzon, Mattias %A McCloskey, Eugene %A Mitchell, Braxton D %A Nandakumar, Kannabiran %A Nicholson, Geoffrey C %A Oostra, Ben A %A Peacock, Munro %A Pols, Huibert A P %A Prince, Richard L %A Raitakari, Olli %A Reid, Ian R %A Robbins, John %A Sambrook, Philip N %A Sham, Pak Chung %A Shuldiner, Alan R %A Tylavsky, Frances A %A van Duijn, Cornelia M %A Wareham, Nick J %A Cupples, L Adrienne %A Econs, Michael J %A Evans, David M %A Harris, Tamara B %A Kung, Annie Wai Chee %A Psaty, Bruce M %A Reeve, Jonathan %A Spector, Timothy D %A Streeten, Elizabeth A %A Zillikens, M Carola %A Thorsteinsdottir, Unnur %A Ohlsson, Claes %A Karasik, David %A Richards, J Brent %A Brown, Matthew A %A Stefansson, Kari %A Uitterlinden, André G %A Ralston, Stuart H %A Ioannidis, John P A %A Kiel, Douglas P %A Rivadeneira, Fernando %K Bone Density %K Computational Biology %K European Continental Ancestry Group %K Extracellular Matrix Proteins %K Female %K Femur Neck %K Fractures, Bone %K Gene Expression Profiling %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Glycoproteins %K Humans %K Intercellular Signaling Peptides and Proteins %K Low Density Lipoprotein Receptor-Related Protein-5 %K Lumbar Vertebrae %K Male %K Mitochondrial Membrane Transport Proteins %K Osteoporosis %K Phosphoproteins %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %K Risk Factors %K Spectrin %X

Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10(-4), Bonferroni corrected), of which six reached P < 5 × 10(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility.

%B Nat Genet %V 44 %P 491-501 %8 2012 Apr 15 %G eng %N 5 %R 10.1038/ng.2249 %0 Journal Article %J Nat Genet %D 2012 %T Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. %A Scott, Robert A %A Lagou, Vasiliki %A Welch, Ryan P %A Wheeler, Eleanor %A Montasser, May E %A Luan, Jian'an %A Mägi, Reedik %A Strawbridge, Rona J %A Rehnberg, Emil %A Gustafsson, Stefan %A Kanoni, Stavroula %A Rasmussen-Torvik, Laura J %A Yengo, Loic %A Lecoeur, Cécile %A Shungin, Dmitry %A Sanna, Serena %A Sidore, Carlo %A Johnson, Paul C D %A Jukema, J Wouter %A Johnson, Toby %A Mahajan, Anubha %A Verweij, Niek %A Thorleifsson, Gudmar %A Hottenga, Jouke-Jan %A Shah, Sonia %A Smith, Albert V %A Sennblad, Bengt %A Gieger, Christian %A Salo, Perttu %A Perola, Markus %A Timpson, Nicholas J %A Evans, David M %A Pourcain, Beate St %A Wu, Ying %A Andrews, Jeanette S %A Hui, Jennie %A Bielak, Lawrence F %A Zhao, Wei %A Horikoshi, Momoko %A Navarro, Pau %A Isaacs, Aaron %A O'Connell, Jeffrey R %A Stirrups, Kathleen %A Vitart, Veronique %A Hayward, Caroline %A Esko, Tõnu %A Mihailov, Evelin %A Fraser, Ross M %A Fall, Tove %A Voight, Benjamin F %A Raychaudhuri, Soumya %A Chen, Han %A Lindgren, Cecilia M %A Morris, Andrew P %A Rayner, Nigel W %A Robertson, Neil %A Rybin, Denis %A Liu, Ching-Ti %A Beckmann, Jacques S %A Willems, Sara M %A Chines, Peter S %A Jackson, Anne U %A Kang, Hyun Min %A Stringham, Heather M %A Song, Kijoung %A Tanaka, Toshiko %A Peden, John F %A Goel, Anuj %A Hicks, Andrew A %A An, Ping %A Müller-Nurasyid, Martina %A Franco-Cereceda, Anders %A Folkersen, Lasse %A Marullo, Letizia %A Jansen, Hanneke %A Oldehinkel, Albertine J %A Bruinenberg, Marcel %A Pankow, James S %A North, Kari E %A Forouhi, Nita G %A Loos, Ruth J F %A Edkins, Sarah %A Varga, Tibor V %A Hallmans, Göran %A Oksa, Heikki %A Antonella, Mulas %A Nagaraja, Ramaiah %A Trompet, Stella %A Ford, Ian %A Bakker, Stephan J L %A Kong, Augustine %A Kumari, Meena %A Gigante, Bruna %A Herder, Christian %A Munroe, Patricia B %A Caulfield, Mark %A Antti, Jula %A Mangino, Massimo %A Small, Kerrin %A Miljkovic, Iva %A Liu, Yongmei %A Atalay, Mustafa %A Kiess, Wieland %A James, Alan L %A Rivadeneira, Fernando %A Uitterlinden, André G %A Palmer, Colin N A %A Doney, Alex S F %A Willemsen, Gonneke %A Smit, Johannes H %A Campbell, Susan %A Polasek, Ozren %A Bonnycastle, Lori L %A Hercberg, Serge %A Dimitriou, Maria %A Bolton, Jennifer L %A Fowkes, Gerard R %A Kovacs, Peter %A Lindström, Jaana %A Zemunik, Tatijana %A Bandinelli, Stefania %A Wild, Sarah H %A Basart, Hanneke V %A Rathmann, Wolfgang %A Grallert, Harald %A Maerz, Winfried %A Kleber, Marcus E %A Boehm, Bernhard O %A Peters, Annette %A Pramstaller, Peter P %A Province, Michael A %A Borecki, Ingrid B %A Hastie, Nicholas D %A Rudan, Igor %A Campbell, Harry %A Watkins, Hugh %A Farrall, Martin %A Stumvoll, Michael %A Ferrucci, Luigi %A Waterworth, Dawn M %A Bergman, Richard N %A Collins, Francis S %A Tuomilehto, Jaakko %A Watanabe, Richard M %A de Geus, Eco J C %A Penninx, Brenda W %A Hofman, Albert %A Oostra, Ben A %A Psaty, Bruce M %A Vollenweider, Peter %A Wilson, James F %A Wright, Alan F %A Hovingh, G Kees %A Metspalu, Andres %A Uusitupa, Matti %A Magnusson, Patrik K E %A Kyvik, Kirsten O %A Kaprio, Jaakko %A Price, Jackie F %A Dedoussis, George V %A Deloukas, Panos %A Meneton, Pierre %A Lind, Lars %A Boehnke, Michael %A Shuldiner, Alan R %A van Duijn, Cornelia M %A Morris, Andrew D %A Toenjes, Anke %A Peyser, Patricia A %A Beilby, John P %A Körner, Antje %A Kuusisto, Johanna %A Laakso, Markku %A Bornstein, Stefan R %A Schwarz, Peter E H %A Lakka, Timo A %A Rauramaa, Rainer %A Adair, Linda S %A Smith, George Davey %A Spector, Tim D %A Illig, Thomas %A de Faire, Ulf %A Hamsten, Anders %A Gudnason, Vilmundur %A Kivimaki, Mika %A Hingorani, Aroon %A Keinanen-Kiukaanniemi, Sirkka M %A Saaristo, Timo E %A Boomsma, Dorret I %A Stefansson, Kari %A van der Harst, Pim %A Dupuis, Josée %A Pedersen, Nancy L %A Sattar, Naveed %A Harris, Tamara B %A Cucca, Francesco %A Ripatti, Samuli %A Salomaa, Veikko %A Mohlke, Karen L %A Balkau, Beverley %A Froguel, Philippe %A Pouta, Anneli %A Jarvelin, Marjo-Riitta %A Wareham, Nicholas J %A Bouatia-Naji, Nabila %A McCarthy, Mark I %A Franks, Paul W %A Meigs, James B %A Teslovich, Tanya M %A Florez, Jose C %A Langenberg, Claudia %A Ingelsson, Erik %A Prokopenko, Inga %A Barroso, Inês %K Adult %K Animals %K Blood Glucose %K Fasting %K Female %K Gene Frequency %K Genome-Wide Association Study %K Humans %K Insulin %K Male %K Metabolic Networks and Pathways %K Mice %K Osmolar Concentration %K Quantitative Trait Loci %X

Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.

%B Nat Genet %V 44 %P 991-1005 %8 2012 Sep %G eng %N 9 %1 http://www.ncbi.nlm.nih.gov/pubmed/22885924?dopt=Abstract %R 10.1038/ng.2385 %0 Journal Article %J Nat Genet %D 2012 %T Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways. %A Stolk, Lisette %A Perry, John R B %A Chasman, Daniel I %A He, Chunyan %A Mangino, Massimo %A Sulem, Patrick %A Barbalic, Maja %A Broer, Linda %A Byrne, Enda M %A Ernst, Florian %A Esko, Tõnu %A Franceschini, Nora %A Gudbjartsson, Daniel F %A Hottenga, Jouke-Jan %A Kraft, Peter %A McArdle, Patrick F %A Porcu, Eleonora %A Shin, So-Youn %A Smith, Albert V %A van Wingerden, Sophie %A Zhai, Guangju %A Zhuang, Wei V %A Albrecht, Eva %A Alizadeh, Behrooz Z %A Aspelund, Thor %A Bandinelli, Stefania %A Lauc, Lovorka Barac %A Beckmann, Jacques S %A Boban, Mladen %A Boerwinkle, Eric %A Broekmans, Frank J %A Burri, Andrea %A Campbell, Harry %A Chanock, Stephen J %A Chen, Constance %A Cornelis, Marilyn C %A Corre, Tanguy %A Coviello, Andrea D %A D'Adamo, Pio %A Davies, Gail %A de Faire, Ulf %A de Geus, Eco J C %A Deary, Ian J %A Dedoussis, George V Z %A Deloukas, Panagiotis %A Ebrahim, Shah %A Eiriksdottir, Gudny %A Emilsson, Valur %A Eriksson, Johan G %A Fauser, Bart C J M %A Ferreli, Liana %A Ferrucci, Luigi %A Fischer, Krista %A Folsom, Aaron R %A Garcia, Melissa E %A Gasparini, Paolo %A Gieger, Christian %A Glazer, Nicole %A Grobbee, Diederick E %A Hall, Per %A Haller, Toomas %A Hankinson, Susan E %A Hass, Merli %A Hayward, Caroline %A Heath, Andrew C %A Hofman, Albert %A Ingelsson, Erik %A Janssens, A Cecile J W %A Johnson, Andrew D %A Karasik, David %A Kardia, Sharon L R %A Keyzer, Jules %A Kiel, Douglas P %A Kolcic, Ivana %A Kutalik, Zoltán %A Lahti, Jari %A Lai, Sandra %A Laisk, Triin %A Laven, Joop S E %A Lawlor, Debbie A %A Liu, Jianjun %A Lopez, Lorna M %A Louwers, Yvonne V %A Magnusson, Patrik K E %A Marongiu, Mara %A Martin, Nicholas G %A Klaric, Irena Martinovic %A Masciullo, Corrado %A McKnight, Barbara %A Medland, Sarah E %A Melzer, David %A Mooser, Vincent %A Navarro, Pau %A Newman, Anne B %A Nyholt, Dale R %A Onland-Moret, N Charlotte %A Palotie, Aarno %A Paré, Guillaume %A Parker, Alex N %A Pedersen, Nancy L %A Peeters, Petra H M %A Pistis, Giorgio %A Plump, Andrew S %A Polasek, Ozren %A Pop, Victor J M %A Psaty, Bruce M %A Räikkönen, Katri %A Rehnberg, Emil %A Rotter, Jerome I %A Rudan, Igor %A Sala, Cinzia %A Salumets, Andres %A Scuteri, Angelo %A Singleton, Andrew %A Smith, Jennifer A %A Snieder, Harold %A Soranzo, Nicole %A Stacey, Simon N %A Starr, John M %A Stathopoulou, Maria G %A Stirrups, Kathleen %A Stolk, Ronald P %A Styrkarsdottir, Unnur %A Sun, Yan V %A Tenesa, Albert %A Thorand, Barbara %A Toniolo, Daniela %A Tryggvadottir, Laufey %A Tsui, Kim %A Ulivi, Sheila %A van Dam, Rob M %A van der Schouw, Yvonne T %A van Gils, Carla H %A van Nierop, Peter %A Vink, Jacqueline M %A Visscher, Peter M %A Voorhuis, Marlies %A Waeber, Gérard %A Wallaschofski, Henri %A Wichmann, H Erich %A Widen, Elisabeth %A Wijnands-van Gent, Colette J M %A Willemsen, Gonneke %A Wilson, James F %A Wolffenbuttel, Bruce H R %A Wright, Alan F %A Yerges-Armstrong, Laura M %A Zemunik, Tatijana %A Zgaga, Lina %A Zillikens, M Carola %A Zygmunt, Marek %A Arnold, Alice M %A Boomsma, Dorret I %A Buring, Julie E %A Crisponi, Laura %A Demerath, Ellen W %A Gudnason, Vilmundur %A Harris, Tamara B %A Hu, Frank B %A Hunter, David J %A Launer, Lenore J %A Metspalu, Andres %A Montgomery, Grant W %A Oostra, Ben A %A Ridker, Paul M %A Sanna, Serena %A Schlessinger, David %A Spector, Tim D %A Stefansson, Kari %A Streeten, Elizabeth A %A Thorsteinsdottir, Unnur %A Uda, Manuela %A Uitterlinden, André G %A van Duijn, Cornelia M %A Völzke, Henry %A Murray, Anna %A Murabito, Joanne M %A Visser, Jenny A %A Lunetta, Kathryn L %K Age Factors %K DNA Helicases %K DNA Polymerase gamma %K DNA Primase %K DNA Repair %K DNA Repair Enzymes %K DNA-Directed DNA Polymerase %K European Continental Ancestry Group %K Exodeoxyribonucleases %K Female %K Genetic Loci %K Genome-Wide Association Study %K Humans %K Immunity %K Menopause %K Polymorphism, Single Nucleotide %K Proteins %X

To newly identify loci for age at natural menopause, we carried out a meta-analysis of 22 genome-wide association studies (GWAS) in 38,968 women of European descent, with replication in up to 14,435 women. In addition to four known loci, we identified 13 loci newly associated with age at natural menopause (at P < 5 × 10(-8)). Candidate genes located at these newly associated loci include genes implicated in DNA repair (EXO1, HELQ, UIMC1, FAM175A, FANCI, TLK1, POLG and PRIM1) and immune function (IL11, NLRP11 and PRRC2A (also known as BAT2)). Gene-set enrichment pathway analyses using the full GWAS data set identified exoDNase, NF-κB signaling and mitochondrial dysfunction as biological processes related to timing of menopause.

%B Nat Genet %V 44 %P 260-8 %8 2012 Jan 22 %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/22267201?dopt=Abstract %R 10.1038/ng.1051 %0 Journal Article %J Nat Genet %D 2012 %T Meta-analysis identifies six new susceptibility loci for atrial fibrillation. %A Ellinor, Patrick T %A Lunetta, Kathryn L %A Albert, Christine M %A Glazer, Nicole L %A Ritchie, Marylyn D %A Smith, Albert V %A Arking, Dan E %A Müller-Nurasyid, Martina %A Krijthe, Bouwe P %A Lubitz, Steven A %A Bis, Joshua C %A Chung, Mina K %A Dörr, Marcus %A Ozaki, Kouichi %A Roberts, Jason D %A Smith, J Gustav %A Pfeufer, Arne %A Sinner, Moritz F %A Lohman, Kurt %A Ding, Jingzhong %A Smith, Nicholas L %A Smith, Jonathan D %A Rienstra, Michiel %A Rice, Kenneth M %A Van Wagoner, David R %A Magnani, Jared W %A Wakili, Reza %A Clauss, Sebastian %A Rotter, Jerome I %A Steinbeck, Gerhard %A Launer, Lenore J %A Davies, Robert W %A Borkovich, Matthew %A Harris, Tamara B %A Lin, Honghuang %A Völker, Uwe %A Völzke, Henry %A Milan, David J %A Hofman, Albert %A Boerwinkle, Eric %A Chen, Lin Y %A Soliman, Elsayed Z %A Voight, Benjamin F %A Li, Guo %A Chakravarti, Aravinda %A Kubo, Michiaki %A Tedrow, Usha B %A Rose, Lynda M %A Ridker, Paul M %A Conen, David %A Tsunoda, Tatsuhiko %A Furukawa, Tetsushi %A Sotoodehnia, Nona %A Xu, Siyan %A Kamatani, Naoyuki %A Levy, Daniel %A Nakamura, Yusuke %A Parvez, Babar %A Mahida, Saagar %A Furie, Karen L %A Rosand, Jonathan %A Muhammad, Raafia %A Psaty, Bruce M %A Meitinger, Thomas %A Perz, Siegfried %A Wichmann, H-Erich %A Witteman, Jacqueline C M %A Kao, W H Linda %A Kathiresan, Sekar %A Roden, Dan M %A Uitterlinden, André G %A Rivadeneira, Fernando %A McKnight, Barbara %A Sjögren, Marketa %A Newman, Anne B %A Liu, Yongmei %A Gollob, Michael H %A Melander, Olle %A Tanaka, Toshihiro %A Stricker, Bruno H Ch %A Felix, Stephan B %A Alonso, Alvaro %A Darbar, Dawood %A Barnard, John %A Chasman, Daniel I %A Heckbert, Susan R %A Benjamin, Emelia J %A Gudnason, Vilmundur %A Kääb, Stefan %K Adolescent %K Adult %K Aged %K Aged, 80 and over %K Asian Continental Ancestry Group %K Atrial Fibrillation %K Child %K Child, Preschool %K European Continental Ancestry Group %K Female %K Genetic Loci %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Infant %K Infant, Newborn %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Risk Factors %K Young Adult %X

Atrial fibrillation is a highly prevalent arrhythmia and a major risk factor for stroke, heart failure and death. We conducted a genome-wide association study (GWAS) in individuals of European ancestry, including 6,707 with and 52,426 without atrial fibrillation. Six new atrial fibrillation susceptibility loci were identified and replicated in an additional sample of individuals of European ancestry, including 5,381 subjects with and 10,030 subjects without atrial fibrillation (P < 5 × 10(-8)). Four of the loci identified in Europeans were further replicated in silico in a GWAS of Japanese individuals, including 843 individuals with and 3,350 individuals without atrial fibrillation. The identified loci implicate candidate genes that encode transcription factors related to cardiopulmonary development, cardiac-expressed ion channels and cell signaling molecules.

%B Nat Genet %V 44 %P 670-5 %8 2012 Apr 29 %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/22544366?dopt=Abstract %R 10.1038/ng.2261 %0 Journal Article %J PLoS Genet %D 2012 %T Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. %A Dastani, Zari %A Hivert, Marie-France %A Timpson, Nicholas %A Perry, John R B %A Yuan, Xin %A Scott, Robert A %A Henneman, Peter %A Heid, Iris M %A Kizer, Jorge R %A Lyytikäinen, Leo-Pekka %A Fuchsberger, Christian %A Tanaka, Toshiko %A Morris, Andrew P %A Small, Kerrin %A Isaacs, Aaron %A Beekman, Marian %A Coassin, Stefan %A Lohman, Kurt %A Qi, Lu %A Kanoni, Stavroula %A Pankow, James S %A Uh, Hae-Won %A Wu, Ying %A Bidulescu, Aurelian %A Rasmussen-Torvik, Laura J %A Greenwood, Celia M T %A Ladouceur, Martin %A Grimsby, Jonna %A Manning, Alisa K %A Liu, Ching-Ti %A Kooner, Jaspal %A Mooser, Vincent E %A Vollenweider, Peter %A Kapur, Karen A %A Chambers, John %A Wareham, Nicholas J %A Langenberg, Claudia %A Frants, Rune %A Willems-Vandijk, Ko %A Oostra, Ben A %A Willems, Sara M %A Lamina, Claudia %A Winkler, Thomas W %A Psaty, Bruce M %A Tracy, Russell P %A Brody, Jennifer %A Chen, Ida %A Viikari, Jorma %A Kähönen, Mika %A Pramstaller, Peter P %A Evans, David M %A St Pourcain, Beate %A Sattar, Naveed %A Wood, Andrew R %A Bandinelli, Stefania %A Carlson, Olga D %A Egan, Josephine M %A Böhringer, Stefan %A van Heemst, Diana %A Kedenko, Lyudmyla %A Kristiansson, Kati %A Nuotio, Marja-Liisa %A Loo, Britt-Marie %A Harris, Tamara %A Garcia, Melissa %A Kanaya, Alka %A Haun, Margot %A Klopp, Norman %A Wichmann, H-Erich %A Deloukas, Panos %A Katsareli, Efi %A Couper, David J %A Duncan, Bruce B %A Kloppenburg, Margreet %A Adair, Linda S %A Borja, Judith B %A Wilson, James G %A Musani, Solomon %A Guo, Xiuqing %A Johnson, Toby %A Semple, Robert %A Teslovich, Tanya M %A Allison, Matthew A %A Redline, Susan %A Buxbaum, Sarah G %A Mohlke, Karen L %A Meulenbelt, Ingrid %A Ballantyne, Christie M %A Dedoussis, George V %A Hu, Frank B %A Liu, Yongmei %A Paulweber, Bernhard %A Spector, Timothy D %A Slagboom, P Eline %A Ferrucci, Luigi %A Jula, Antti %A Perola, Markus %A Raitakari, Olli %A Florez, Jose C %A Salomaa, Veikko %A Eriksson, Johan G %A Frayling, Timothy M %A Hicks, Andrew A %A Lehtimäki, Terho %A Smith, George Davey %A Siscovick, David S %A Kronenberg, Florian %A van Duijn, Cornelia %A Loos, Ruth J F %A Waterworth, Dawn M %A Meigs, James B %A Dupuis, Josée %A Richards, J Brent %A Voight, Benjamin F %A Scott, Laura J %A Steinthorsdottir, Valgerdur %A Dina, Christian %A Welch, Ryan P %A Zeggini, Eleftheria %A Huth, Cornelia %A Aulchenko, Yurii S %A Thorleifsson, Gudmar %A McCulloch, Laura J %A Ferreira, Teresa %A Grallert, Harald %A Amin, Najaf %A Wu, Guanming %A Willer, Cristen J %A Raychaudhuri, Soumya %A McCarroll, Steve A %A Hofmann, Oliver M %A Segrè, Ayellet V %A van Hoek, Mandy %A Navarro, Pau %A Ardlie, Kristin %A Balkau, Beverley %A Benediktsson, Rafn %A Bennett, Amanda J %A Blagieva, Roza %A Boerwinkle, Eric %A Bonnycastle, Lori L %A Boström, Kristina Bengtsson %A Bravenboer, Bert %A Bumpstead, Suzannah %A Burtt, Noel P %A Charpentier, Guillaume %A Chines, Peter S %A Cornelis, Marilyn %A Crawford, Gabe %A Doney, Alex S F %A Elliott, Katherine S %A Elliott, Amanda L %A Erdos, Michael R %A Fox, Caroline S %A Franklin, Christopher S %A Ganser, Martha %A Gieger, Christian %A Grarup, Niels %A Green, Todd %A Griffin, Simon %A Groves, Christopher J %A Guiducci, Candace %A Hadjadj, Samy %A Hassanali, Neelam %A Herder, Christian %A Isomaa, Bo %A Jackson, Anne U %A Johnson, Paul R V %A Jørgensen, Torben %A Kao, Wen H L %A Kong, Augustine %A Kraft, Peter %A Kuusisto, Johanna %A Lauritzen, Torsten %A Li, Man %A Lieverse, Aloysius %A Lindgren, Cecilia M %A Lyssenko, Valeriya %A Marre, Michel %A Meitinger, Thomas %A Midthjell, Kristian %A Morken, Mario A %A Narisu, Narisu %A Nilsson, Peter %A Owen, Katharine R %A Payne, Felicity %A Petersen, Ann-Kristin %A Platou, Carl %A Proença, Christine %A Prokopenko, Inga %A Rathmann, Wolfgang %A Rayner, N William %A Robertson, Neil R %A Rocheleau, Ghislain %A Roden, Michael %A Sampson, Michael J %A Saxena, Richa %A Shields, Beverley M %A Shrader, Peter %A Sigurdsson, Gunnar %A Sparsø, Thomas %A Strassburger, Klaus %A Stringham, Heather M %A Sun, Qi %A Swift, Amy J %A Thorand, Barbara %A Tichet, Jean %A Tuomi, Tiinamaija %A van Dam, Rob M %A van Haeften, Timon W %A van Herpt, Thijs %A van Vliet-Ostaptchouk, Jana V %A Walters, G Bragi %A Weedon, Michael N %A Wijmenga, Cisca %A Witteman, Jacqueline %A Bergman, Richard N %A Cauchi, Stephane %A Collins, Francis S %A Gloyn, Anna L %A Gyllensten, Ulf %A Hansen, Torben %A Hide, Winston A %A Hitman, Graham A %A Hofman, Albert %A Hunter, David J %A Hveem, Kristian %A Laakso, Markku %A Morris, Andrew D %A Palmer, Colin N A %A Rudan, Igor %A Sijbrands, Eric %A Stein, Lincoln D %A Tuomilehto, Jaakko %A Uitterlinden, Andre %A Walker, Mark %A Watanabe, Richard M %A Abecasis, Goncalo R %A Boehm, Bernhard O %A Campbell, Harry %A Daly, Mark J %A Hattersley, Andrew T %A Pedersen, Oluf %A Barroso, Inês %A Groop, Leif %A Sladek, Rob %A Thorsteinsdottir, Unnur %A Wilson, James F %A Illig, Thomas %A Froguel, Philippe %A van Duijn, Cornelia M %A Stefansson, Kari %A Altshuler, David %A Boehnke, Michael %A McCarthy, Mark I %A Soranzo, Nicole %A Wheeler, Eleanor %A Glazer, Nicole L %A Bouatia-Naji, Nabila %A Mägi, Reedik %A Randall, Joshua %A Elliott, Paul %A Rybin, Denis %A Dehghan, Abbas %A Hottenga, Jouke Jan %A Song, Kijoung %A Goel, Anuj %A Lajunen, Taina %A Doney, Alex %A Cavalcanti-Proença, Christine %A Kumari, Meena %A Timpson, Nicholas J %A Zabena, Carina %A Ingelsson, Erik %A An, Ping %A O'Connell, Jeffrey %A Luan, Jian'an %A Elliott, Amanda %A McCarroll, Steven A %A Roccasecca, Rosa Maria %A Pattou, François %A Sethupathy, Praveen %A Ariyurek, Yavuz %A Barter, Philip %A Beilby, John P %A Ben-Shlomo, Yoav %A Bergmann, Sven %A Bochud, Murielle %A Bonnefond, Amélie %A Borch-Johnsen, Knut %A Böttcher, Yvonne %A Brunner, Eric %A Bumpstead, Suzannah J %A Chen, Yii-Der Ida %A Chines, Peter %A Clarke, Robert %A Coin, Lachlan J M %A Cooper, Matthew N %A Crisponi, Laura %A Day, Ian N M %A de Geus, Eco J C %A Delplanque, Jerome %A Fedson, Annette C %A Fischer-Rosinsky, Antje %A Forouhi, Nita G %A Franzosi, Maria Grazia %A Galan, Pilar %A Goodarzi, Mark O %A Graessler, Jürgen %A Grundy, Scott %A Gwilliam, Rhian %A Hallmans, Göran %A Hammond, Naomi %A Han, Xijing %A Hartikainen, Anna-Liisa %A Hayward, Caroline %A Heath, Simon C %A Hercberg, Serge %A Hillman, David R %A Hingorani, Aroon D %A Hui, Jennie %A Hung, Joe %A Kaakinen, Marika %A Kaprio, Jaakko %A Kesaniemi, Y Antero %A Kivimaki, Mika %A Knight, Beatrice %A Koskinen, Seppo %A Kovacs, Peter %A Kyvik, Kirsten Ohm %A Lathrop, G Mark %A Lawlor, Debbie A %A Le Bacquer, Olivier %A Lecoeur, Cécile %A Li, Yun %A Mahley, Robert %A Mangino, Massimo %A Martínez-Larrad, María Teresa %A McAteer, Jarred B %A McPherson, Ruth %A Meisinger, Christa %A Melzer, David %A Meyre, David %A Mitchell, Braxton D %A Mukherjee, Sutapa %A Naitza, Silvia %A Neville, Matthew J %A Orrù, Marco %A Pakyz, Ruth %A Paolisso, Giuseppe %A Pattaro, Cristian %A Pearson, Daniel %A Peden, John F %A Pedersen, Nancy L %A Pfeiffer, Andreas F H %A Pichler, Irene %A Polasek, Ozren %A Posthuma, Danielle %A Potter, Simon C %A Pouta, Anneli %A Province, Michael A %A Rayner, Nigel W %A Rice, Kenneth %A Ripatti, Samuli %A Rivadeneira, Fernando %A Rolandsson, Olov %A Sandbaek, Annelli %A Sandhu, Manjinder %A Sanna, Serena %A Sayer, Avan Aihie %A Scheet, Paul %A Seedorf, Udo %A Sharp, Stephen J %A Shields, Beverley %A Sigurðsson, Gunnar %A Sijbrands, Eric J G %A Silveira, Angela %A Simpson, Laila %A Singleton, Andrew %A Smith, Nicholas L %A Sovio, Ulla %A Swift, Amy %A Syddall, Holly %A Syvänen, Ann-Christine %A Tönjes, Anke %A Uitterlinden, André G %A van Dijk, Ko Willems %A Varma, Dhiraj %A Visvikis-Siest, Sophie %A Vitart, Veronique %A Vogelzangs, Nicole %A Waeber, Gérard %A Wagner, Peter J %A Walley, Andrew %A Ward, Kim L %A Watkins, Hugh %A Wild, Sarah H %A Willemsen, Gonneke %A Witteman, Jaqueline C M %A Yarnell, John W G %A Zelenika, Diana %A Zethelius, Björn %A Zhai, Guangju %A Zhao, Jing Hua %A Zillikens, M Carola %A Borecki, Ingrid B %A Meneton, Pierre %A Magnusson, Patrik K E %A Nathan, David M %A Williams, Gordon H %A Silander, Kaisa %A Bornstein, Stefan R %A Schwarz, Peter %A Spranger, Joachim %A Karpe, Fredrik %A Shuldiner, Alan R %A Cooper, Cyrus %A Serrano-Ríos, Manuel %A Lind, Lars %A Palmer, Lyle J %A Hu, Frank B %A Franks, Paul W %A Ebrahim, Shah %A Marmot, Michael %A Kao, W H Linda %A Pramstaller, Peter Paul %A Wright, Alan F %A Stumvoll, Michael %A Hamsten, Anders %A Buchanan, Thomas A %A Valle, Timo T %A Rotter, Jerome I %A Penninx, Brenda W J H %A Boomsma, Dorret I %A Cao, Antonio %A Scuteri, Angelo %A Schlessinger, David %A Uda, Manuela %A Ruokonen, Aimo %A Jarvelin, Marjo-Riitta %A Peltonen, Leena %A Mooser, Vincent %A Sladek, Robert %A Musunuru, Kiran %A Smith, Albert V %A Edmondson, Andrew C %A Stylianou, Ioannis M %A Koseki, Masahiro %A Pirruccello, James P %A Chasman, Daniel I %A Johansen, Christopher T %A Fouchier, Sigrid W %A Peloso, Gina M %A Barbalic, Maja %A Ricketts, Sally L %A Bis, Joshua C %A Feitosa, Mary F %A Orho-Melander, Marju %A Melander, Olle %A Li, Xiaohui %A Li, Mingyao %A Cho, Yoon Shin %A Go, Min Jin %A Kim, Young Jin %A Lee, Jong-Young %A Park, Taesung %A Kim, Kyunga %A Sim, Xueling %A Ong, Rick Twee-Hee %A Croteau-Chonka, Damien C %A Lange, Leslie A %A Smith, Joshua D %A Ziegler, Andreas %A Zhang, Weihua %A Zee, Robert Y L %A Whitfield, John B %A Thompson, John R %A Surakka, Ida %A Spector, Tim D %A Smit, Johannes H %A Sinisalo, Juha %A Scott, James %A Saharinen, Juha %A Sabatti, Chiara %A Rose, Lynda M %A Roberts, Robert %A Rieder, Mark %A Parker, Alex N %A Paré, Guillaume %A O'Donnell, Christopher J %A Nieminen, Markku S %A Nickerson, Deborah A %A Montgomery, Grant W %A McArdle, Wendy %A Masson, David %A Martin, Nicholas G %A Marroni, Fabio %A Lucas, Gavin %A Luben, Robert %A Lokki, Marja-Liisa %A Lettre, Guillaume %A Launer, Lenore J %A Lakatta, Edward G %A Laaksonen, Reijo %A Kyvik, Kirsten O %A König, Inke R %A Khaw, Kay-Tee %A Kaplan, Lee M %A Johansson, Asa %A Janssens, A Cecile J W %A Igl, Wilmar %A Hovingh, G Kees %A Hengstenberg, Christian %A Havulinna, Aki S %A Hastie, Nicholas D %A Harris, Tamara B %A Haritunians, Talin %A Hall, Alistair S %A Groop, Leif C %A Gonzalez, Elena %A Freimer, Nelson B %A Erdmann, Jeanette %A Ejebe, Kenechi G %A Döring, Angela %A Dominiczak, Anna F %A Demissie, Serkalem %A Deloukas, Panagiotis %A de Faire, Ulf %A Crawford, Gabriel %A Chen, Yii-der I %A Caulfield, Mark J %A Boekholdt, S Matthijs %A Assimes, Themistocles L %A Quertermous, Thomas %A Seielstad, Mark %A Wong, Tien Y %A Tai, E-Shyong %A Feranil, Alan B %A Kuzawa, Christopher W %A Taylor, Herman A %A Gabriel, Stacey B %A Holm, Hilma %A Gudnason, Vilmundur %A Krauss, Ronald M %A Ordovas, Jose M %A Munroe, Patricia B %A Kooner, Jaspal S %A Tall, Alan R %A Hegele, Robert A %A Kastelein, John J P %A Schadt, Eric E %A Strachan, David P %A Reilly, Muredach P %A Samani, Nilesh J %A Schunkert, Heribert %A Cupples, L Adrienne %A Sandhu, Manjinder S %A Ridker, Paul M %A Rader, Daniel J %A Kathiresan, Sekar %K Adiponectin %K African Americans %K Asian Continental Ancestry Group %K Cholesterol, HDL %K Diabetes Mellitus, Type 2 %K European Continental Ancestry Group %K Female %K Gene Expression %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Glucose Tolerance Test %K Humans %K Insulin Resistance %K Male %K Metabolic Networks and Pathways %K Polymorphism, Single Nucleotide %K Waist-Hip Ratio %X

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.

%B PLoS Genet %V 8 %P e1002607 %8 2012 %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/22479202?dopt=Abstract %R 10.1371/journal.pgen.1002607 %0 Journal Article %J PLoS One %D 2013 %T Best practices and joint calling of the HumanExome BeadChip: the CHARGE Consortium. %A Grove, Megan L %A Yu, Bing %A Cochran, Barbara J %A Haritunians, Talin %A Bis, Joshua C %A Taylor, Kent D %A Hansen, Mark %A Borecki, Ingrid B %A Cupples, L Adrienne %A Fornage, Myriam %A Gudnason, Vilmundur %A Harris, Tamara B %A Kathiresan, Sekar %A Kraaij, Robert %A Launer, Lenore J %A Levy, Daniel %A Liu, Yongmei %A Mosley, Thomas %A Peloso, Gina M %A Psaty, Bruce M %A Rich, Stephen S %A Rivadeneira, Fernando %A Siscovick, David S %A Smith, Albert V %A Uitterlinden, Andre %A van Duijn, Cornelia M %A Wilson, James G %A O'Donnell, Christopher J %A Rotter, Jerome I %A Boerwinkle, Eric %K Aging %K Alleles %K Cluster Analysis %K Cohort Studies %K Continental Population Groups %K Exome %K Female %K Gene Frequency %K Genomics %K Genotype %K Heart %K Humans %K Male %K Oligonucleotide Array Sequence Analysis %K Polymorphism, Single Nucleotide %K Sample Size %K Self Report %K Sequence Analysis, DNA %X

Genotyping arrays are a cost effective approach when typing previously-identified genetic polymorphisms in large numbers of samples. One limitation of genotyping arrays with rare variants (e.g., minor allele frequency [MAF] <0.01) is the difficulty that automated clustering algorithms have to accurately detect and assign genotype calls. Combining intensity data from large numbers of samples may increase the ability to accurately call the genotypes of rare variants. Approximately 62,000 ethnically diverse samples from eleven Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium cohorts were genotyped with the Illumina HumanExome BeadChip across seven genotyping centers. The raw data files for the samples were assembled into a single project for joint calling. To assess the quality of the joint calling, concordance of genotypes in a subset of individuals having both exome chip and exome sequence data was analyzed. After exclusion of low performing SNPs on the exome chip and non-overlap of SNPs derived from sequence data, genotypes of 185,119 variants (11,356 were monomorphic) were compared in 530 individuals that had whole exome sequence data. A total of 98,113,070 pairs of genotypes were tested and 99.77% were concordant, 0.14% had missing data, and 0.09% were discordant. We report that joint calling allows the ability to accurately genotype rare variation using array technology when large sample sizes are available and best practices are followed. The cluster file from this experiment is available at www.chargeconsortium.com/main/exomechip.

%B PLoS One %V 8 %P e68095 %8 2013 %G eng %N 7 %1 http://www.ncbi.nlm.nih.gov/pubmed/23874508?dopt=Abstract %R 10.1371/journal.pone.0068095 %0 Journal Article %J J Am Soc Nephrol %D 2013 %T Common variants in Mendelian kidney disease genes and their association with renal function. %A Parsa, Afshin %A Fuchsberger, Christian %A Köttgen, Anna %A O'Seaghdha, Conall M %A Pattaro, Cristian %A de Andrade, Mariza %A Chasman, Daniel I %A Teumer, Alexander %A Endlich, Karlhans %A Olden, Matthias %A Chen, Ming-Huei %A Tin, Adrienne %A Kim, Young J %A Taliun, Daniel %A Li, Man %A Feitosa, Mary %A Gorski, Mathias %A Yang, Qiong %A Hundertmark, Claudia %A Foster, Meredith C %A Glazer, Nicole %A Isaacs, Aaron %A Rao, Madhumathi %A Smith, Albert V %A O'Connell, Jeffrey R %A Struchalin, Maksim %A Tanaka, Toshiko %A Li, Guo %A Hwang, Shih-Jen %A Atkinson, Elizabeth J %A Lohman, Kurt %A Cornelis, Marilyn C %A Johansson, Asa %A Tönjes, Anke %A Dehghan, Abbas %A Couraki, Vincent %A Holliday, Elizabeth G %A Sorice, Rossella %A Kutalik, Zoltán %A Lehtimäki, Terho %A Esko, Tõnu %A Deshmukh, Harshal %A Ulivi, Sheila %A Chu, Audrey Y %A Murgia, Federico %A Trompet, Stella %A Imboden, Medea %A Kollerits, Barbara %A Pistis, Giorgio %A Harris, Tamara B %A Launer, Lenore J %A Aspelund, Thor %A Eiriksdottir, Gudny %A Mitchell, Braxton D %A Boerwinkle, Eric %A Schmidt, Helena %A Hofer, Edith %A Hu, Frank %A Demirkan, Ayse %A Oostra, Ben A %A Turner, Stephen T %A Ding, Jingzhong %A Andrews, Jeanette S %A Freedman, Barry I %A Giulianini, Franco %A Koenig, Wolfgang %A Illig, Thomas %A Döring, Angela %A Wichmann, H-Erich %A Zgaga, Lina %A Zemunik, Tatijana %A Boban, Mladen %A Minelli, Cosetta %A Wheeler, Heather E %A Igl, Wilmar %A Zaboli, Ghazal %A Wild, Sarah H %A Wright, Alan F %A Campbell, Harry %A Ellinghaus, David %A Nöthlings, Ute %A Jacobs, Gunnar %A Biffar, Reiner %A Ernst, Florian %A Homuth, Georg %A Kroemer, Heyo K %A Nauck, Matthias %A Stracke, Sylvia %A Völker, Uwe %A Völzke, Henry %A Kovacs, Peter %A Stumvoll, Michael %A Mägi, Reedik %A Hofman, Albert %A Uitterlinden, André G %A Rivadeneira, Fernando %A Aulchenko, Yurii S %A Polasek, Ozren %A Hastie, Nick %A Vitart, Veronique %A Helmer, Catherine %A Wang, Jie Jin %A Stengel, Bénédicte %A Ruggiero, Daniela %A Bergmann, Sven %A Kähönen, Mika %A Viikari, Jorma %A Nikopensius, Tiit %A Province, Michael %A Colhoun, Helen %A Doney, Alex %A Robino, Antonietta %A Krämer, Bernhard K %A Portas, Laura %A Ford, Ian %A Buckley, Brendan M %A Adam, Martin %A Thun, Gian-Andri %A Paulweber, Bernhard %A Haun, Margot %A Sala, Cinzia %A Mitchell, Paul %A Ciullo, Marina %A Vollenweider, Peter %A Raitakari, Olli %A Metspalu, Andres %A Palmer, Colin %A Gasparini, Paolo %A Pirastu, Mario %A Jukema, J Wouter %A Probst-Hensch, Nicole M %A Kronenberg, Florian %A Toniolo, Daniela %A Gudnason, Vilmundur %A Shuldiner, Alan R %A Coresh, Josef %A Schmidt, Reinhold %A Ferrucci, Luigi %A van Duijn, Cornelia M %A Borecki, Ingrid %A Kardia, Sharon L R %A Liu, Yongmei %A Curhan, Gary C %A Rudan, Igor %A Gyllensten, Ulf %A Wilson, James F %A Franke, Andre %A Pramstaller, Peter P %A Rettig, Rainer %A Prokopenko, Inga %A Witteman, Jacqueline %A Hayward, Caroline %A Ridker, Paul M %A Bochud, Murielle %A Heid, Iris M %A Siscovick, David S %A Fox, Caroline S %A Kao, W Linda %A Böger, Carsten A %K Databases, Genetic %K European Continental Ancestry Group %K Gene Frequency %K Genetic Variation %K Genome-Wide Association Study %K Humans %K Kidney %K Mendelian Randomization Analysis %K Phenotype %K Polymorphism, Single Nucleotide %K Renal Insufficiency, Chronic %X

Many common genetic variants identified by genome-wide association studies for complex traits map to genes previously linked to rare inherited Mendelian disorders. A systematic analysis of common single-nucleotide polymorphisms (SNPs) in genes responsible for Mendelian diseases with kidney phenotypes has not been performed. We thus developed a comprehensive database of genes for Mendelian kidney conditions and evaluated the association between common genetic variants within these genes and kidney function in the general population. Using the Online Mendelian Inheritance in Man database, we identified 731 unique disease entries related to specific renal search terms and confirmed a kidney phenotype in 218 of these entries, corresponding to mutations in 258 genes. We interrogated common SNPs (minor allele frequency >5%) within these genes for association with the estimated GFR in 74,354 European-ancestry participants from the CKDGen Consortium. However, the top four candidate SNPs (rs6433115 at LRP2, rs1050700 at TSC1, rs249942 at PALB2, and rs9827843 at ROBO2) did not achieve significance in a stage 2 meta-analysis performed in 56,246 additional independent individuals, indicating that these common SNPs are not associated with estimated GFR. The effect of less common or rare variants in these genes on kidney function in the general population and disease-specific cohorts requires further research.

%B J Am Soc Nephrol %V 24 %P 2105-17 %8 2013 Dec %G eng %N 12 %1 http://www.ncbi.nlm.nih.gov/pubmed/24029420?dopt=Abstract %R 10.1681/ASN.2012100983 %0 Journal Article %J Nat Genet %D 2013 %T Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. %A Köttgen, Anna %A Albrecht, Eva %A Teumer, Alexander %A Vitart, Veronique %A Krumsiek, Jan %A Hundertmark, Claudia %A Pistis, Giorgio %A Ruggiero, Daniela %A O'Seaghdha, Conall M %A Haller, Toomas %A Yang, Qiong %A Tanaka, Toshiko %A Johnson, Andrew D %A Kutalik, Zoltán %A Smith, Albert V %A Shi, Julia %A Struchalin, Maksim %A Middelberg, Rita P S %A Brown, Morris J %A Gaffo, Angelo L %A Pirastu, Nicola %A Li, Guo %A Hayward, Caroline %A Zemunik, Tatijana %A Huffman, Jennifer %A Yengo, Loic %A Zhao, Jing Hua %A Demirkan, Ayse %A Feitosa, Mary F %A Liu, Xuan %A Malerba, Giovanni %A Lopez, Lorna M %A van der Harst, Pim %A Li, Xinzhong %A Kleber, Marcus E %A Hicks, Andrew A %A Nolte, Ilja M %A Johansson, Asa %A Murgia, Federico %A Wild, Sarah H %A Bakker, Stephan J L %A Peden, John F %A Dehghan, Abbas %A Steri, Maristella %A Tenesa, Albert %A Lagou, Vasiliki %A Salo, Perttu %A Mangino, Massimo %A Rose, Lynda M %A Lehtimäki, Terho %A Woodward, Owen M %A Okada, Yukinori %A Tin, Adrienne %A Müller, Christian %A Oldmeadow, Christopher %A Putku, Margus %A Czamara, Darina %A Kraft, Peter %A Frogheri, Laura %A Thun, Gian Andri %A Grotevendt, Anne %A Gislason, Gauti Kjartan %A Harris, Tamara B %A Launer, Lenore J %A McArdle, Patrick %A Shuldiner, Alan R %A Boerwinkle, Eric %A Coresh, Josef %A Schmidt, Helena %A Schallert, Michael %A Martin, Nicholas G %A Montgomery, Grant W %A Kubo, Michiaki %A Nakamura, Yusuke %A Tanaka, Toshihiro %A Munroe, Patricia B %A Samani, Nilesh J %A Jacobs, David R %A Liu, Kiang %A D'Adamo, Pio %A Ulivi, Sheila %A Rotter, Jerome I %A Psaty, Bruce M %A Vollenweider, Peter %A Waeber, Gérard %A Campbell, Susan %A Devuyst, Olivier %A Navarro, Pau %A Kolcic, Ivana %A Hastie, Nicholas %A Balkau, Beverley %A Froguel, Philippe %A Esko, Tõnu %A Salumets, Andres %A Khaw, Kay Tee %A Langenberg, Claudia %A Wareham, Nicholas J %A Isaacs, Aaron %A Kraja, Aldi %A Zhang, Qunyuan %A Wild, Philipp S %A Scott, Rodney J %A Holliday, Elizabeth G %A Org, Elin %A Viigimaa, Margus %A Bandinelli, Stefania %A Metter, Jeffrey E %A Lupo, Antonio %A Trabetti, Elisabetta %A Sorice, Rossella %A Döring, Angela %A Lattka, Eva %A Strauch, Konstantin %A Theis, Fabian %A Waldenberger, Melanie %A Wichmann, H-Erich %A Davies, Gail %A Gow, Alan J %A Bruinenberg, Marcel %A Stolk, Ronald P %A Kooner, Jaspal S %A Zhang, Weihua %A Winkelmann, Bernhard R %A Boehm, Bernhard O %A Lucae, Susanne %A Penninx, Brenda W %A Smit, Johannes H %A Curhan, Gary %A Mudgal, Poorva %A Plenge, Robert M %A Portas, Laura %A Persico, Ivana %A Kirin, Mirna %A Wilson, James F %A Mateo Leach, Irene %A van Gilst, Wiek H %A Goel, Anuj %A Ongen, Halit %A Hofman, Albert %A Rivadeneira, Fernando %A Uitterlinden, André G %A Imboden, Medea %A von Eckardstein, Arnold %A Cucca, Francesco %A Nagaraja, Ramaiah %A Piras, Maria Grazia %A Nauck, Matthias %A Schurmann, Claudia %A Budde, Kathrin %A Ernst, Florian %A Farrington, Susan M %A Theodoratou, Evropi %A Prokopenko, Inga %A Stumvoll, Michael %A Jula, Antti %A Perola, Markus %A Salomaa, Veikko %A Shin, So-Youn %A Spector, Tim D %A Sala, Cinzia %A Ridker, Paul M %A Kähönen, Mika %A Viikari, Jorma %A Hengstenberg, Christian %A Nelson, Christopher P %A Meschia, James F %A Nalls, Michael A %A Sharma, Pankaj %A Singleton, Andrew B %A Kamatani, Naoyuki %A Zeller, Tanja %A Burnier, Michel %A Attia, John %A Laan, Maris %A Klopp, Norman %A Hillege, Hans L %A Kloiber, Stefan %A Choi, Hyon %A Pirastu, Mario %A Tore, Silvia %A Probst-Hensch, Nicole M %A Völzke, Henry %A Gudnason, Vilmundur %A Parsa, Afshin %A Schmidt, Reinhold %A Whitfield, John B %A Fornage, Myriam %A Gasparini, Paolo %A Siscovick, David S %A Polasek, Ozren %A Campbell, Harry %A Rudan, Igor %A Bouatia-Naji, Nabila %A Metspalu, Andres %A Loos, Ruth J F %A van Duijn, Cornelia M %A Borecki, Ingrid B %A Ferrucci, Luigi %A Gambaro, Giovanni %A Deary, Ian J %A Wolffenbuttel, Bruce H R %A Chambers, John C %A März, Winfried %A Pramstaller, Peter P %A Snieder, Harold %A Gyllensten, Ulf %A Wright, Alan F %A Navis, Gerjan %A Watkins, Hugh %A Witteman, Jacqueline C M %A Sanna, Serena %A Schipf, Sabine %A Dunlop, Malcolm G %A Tönjes, Anke %A Ripatti, Samuli %A Soranzo, Nicole %A Toniolo, Daniela %A Chasman, Daniel I %A Raitakari, Olli %A Kao, W H Linda %A Ciullo, Marina %A Fox, Caroline S %A Caulfield, Mark %A Bochud, Murielle %A Gieger, Christian %K Analysis of Variance %K European Continental Ancestry Group %K Gene Frequency %K Genetic Loci %K Genome-Wide Association Study %K Glucose %K Gout %K Humans %K Inhibins %K Polymorphism, Single Nucleotide %K Signal Transduction %K Uric Acid %X

Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with serum urate concentrations (18 new regions in or near TRIM46, INHBB, SFMBT1, TMEM171, VEGFA, BAZ1B, PRKAG2, STC1, HNF4G, A1CF, ATXN2, UBE2Q2, IGF1R, NFAT5, MAF, HLF, ACVR1B-ACVRL1 and B3GNT4). Associations for many of the loci were of similar magnitude in individuals of non-European ancestry. We further characterized these loci for associations with gout, transcript expression and the fractional excretion of urate. Network analyses implicate the inhibins-activins signaling pathways and glucose metabolism in systemic urate control. New candidate genes for serum urate concentration highlight the importance of metabolic control of urate production and excretion, which may have implications for the treatment and prevention of gout.

%B Nat Genet %V 45 %P 145-54 %8 2013 Feb %G eng %N 2 %1 http://www.ncbi.nlm.nih.gov/pubmed/23263486?dopt=Abstract %R 10.1038/ng.2500 %0 Journal Article %J Biol Psychiatry %D 2013 %T A genome-wide association study of depressive symptoms. %A Hek, Karin %A Demirkan, Ayse %A Lahti, Jari %A Terracciano, Antonio %A Teumer, Alexander %A Cornelis, Marilyn C %A Amin, Najaf %A Bakshis, Erin %A Baumert, Jens %A Ding, Jingzhong %A Liu, Yongmei %A Marciante, Kristin %A Meirelles, Osorio %A Nalls, Michael A %A Sun, Yan V %A Vogelzangs, Nicole %A Yu, Lei %A Bandinelli, Stefania %A Benjamin, Emelia J %A Bennett, David A %A Boomsma, Dorret %A Cannas, Alessandra %A Coker, Laura H %A de Geus, Eco %A De Jager, Philip L %A Diez-Roux, Ana V %A Purcell, Shaun %A Hu, Frank B %A Rimma, Eric B %A Hunter, David J %A Jensen, Majken K %A Curhan, Gary %A Rice, Kenneth %A Penman, Alan D %A Rotter, Jerome I %A Sotoodehnia, Nona %A Emeny, Rebecca %A Eriksson, Johan G %A Evans, Denis A %A Ferrucci, Luigi %A Fornage, Myriam %A Gudnason, Vilmundur %A Hofman, Albert %A Illig, Thomas %A Kardia, Sharon %A Kelly-Hayes, Margaret %A Koenen, Karestan %A Kraft, Peter %A Kuningas, Maris %A Massaro, Joseph M %A Melzer, David %A Mulas, Antonella %A Mulder, Cornelis L %A Murray, Anna %A Oostra, Ben A %A Palotie, Aarno %A Penninx, Brenda %A Petersmann, Astrid %A Pilling, Luke C %A Psaty, Bruce %A Rawal, Rajesh %A Reiman, Eric M %A Schulz, Andrea %A Shulman, Joshua M %A Singleton, Andrew B %A Smith, Albert V %A Sutin, Angelina R %A Uitterlinden, André G %A Völzke, Henry %A Widen, Elisabeth %A Yaffe, Kristine %A Zonderman, Alan B %A Cucca, Francesco %A Harris, Tamara %A Ladwig, Karl-Heinz %A Llewellyn, David J %A Räikkönen, Katri %A Tanaka, Toshiko %A van Duijn, Cornelia M %A Grabe, Hans J %A Launer, Lenore J %A Lunetta, Kathryn L %A Mosley, Thomas H %A Newman, Anne B %A Tiemeier, Henning %A Murabito, Joanne %K Aged %K Aged, 80 and over %K Chromosomes, Human, Pair 5 %K Depression %K Female %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %X

BACKGROUND: Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms.

METHODS: In this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p<1×10(-5)) was performed in five studies assessing depressive symptoms with other instruments. In addition, we performed a combined meta-analysis of all 22 discovery and replication studies.

RESULTS: The discovery sample comprised 34,549 individuals (mean age of 66.5) and no loci reached genome-wide significance (lowest p = 1.05×10(-7)). Seven independent single nucleotide polymorphisms were considered for replication. In the replication set (n = 16,709), we found suggestive association of one single nucleotide polymorphism with depressive symptoms (rs161645, 5q21, p = 9.19×10(-3)). This 5q21 region reached genome-wide significance (p = 4.78×10(-8)) in the overall meta-analysis combining discovery and replication studies (n = 51,258).

CONCLUSIONS: The results suggest that only a large sample comprising more than 50,000 subjects may be sufficiently powered to detect genes for depressive symptoms.

%B Biol Psychiatry %V 73 %P 667-78 %8 2013 Apr 01 %G eng %N 7 %1 http://www.ncbi.nlm.nih.gov/pubmed/23290196?dopt=Abstract %R 10.1016/j.biopsych.2012.09.033 %0 Journal Article %J Nat Genet %D 2013 %T Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders. %A den Hoed, Marcel %A Eijgelsheim, Mark %A Esko, Tõnu %A Brundel, Bianca J J M %A Peal, David S %A Evans, David M %A Nolte, Ilja M %A Segrè, Ayellet V %A Holm, Hilma %A Handsaker, Robert E %A Westra, Harm-Jan %A Johnson, Toby %A Isaacs, Aaron %A Yang, Jian %A Lundby, Alicia %A Zhao, Jing Hua %A Kim, Young Jin %A Go, Min Jin %A Almgren, Peter %A Bochud, Murielle %A Boucher, Gabrielle %A Cornelis, Marilyn C %A Gudbjartsson, Daniel %A Hadley, David %A van der Harst, Pim %A Hayward, Caroline %A den Heijer, Martin %A Igl, Wilmar %A Jackson, Anne U %A Kutalik, Zoltán %A Luan, Jian'an %A Kemp, John P %A Kristiansson, Kati %A Ladenvall, Claes %A Lorentzon, Mattias %A Montasser, May E %A Njajou, Omer T %A O'Reilly, Paul F %A Padmanabhan, Sandosh %A St Pourcain, Beate %A Rankinen, Tuomo %A Salo, Perttu %A Tanaka, Toshiko %A Timpson, Nicholas J %A Vitart, Veronique %A Waite, Lindsay %A Wheeler, William %A Zhang, Weihua %A Draisma, Harmen H M %A Feitosa, Mary F %A Kerr, Kathleen F %A Lind, Penelope A %A Mihailov, Evelin %A Onland-Moret, N Charlotte %A Song, Ci %A Weedon, Michael N %A Xie, Weijia %A Yengo, Loic %A Absher, Devin %A Albert, Christine M %A Alonso, Alvaro %A Arking, Dan E %A de Bakker, Paul I W %A Balkau, Beverley %A Barlassina, Cristina %A Benaglio, Paola %A Bis, Joshua C %A Bouatia-Naji, Nabila %A Brage, Søren %A Chanock, Stephen J %A Chines, Peter S %A Chung, Mina %A Darbar, Dawood %A Dina, Christian %A Dörr, Marcus %A Elliott, Paul %A Felix, Stephan B %A Fischer, Krista %A Fuchsberger, Christian %A de Geus, Eco J C %A Goyette, Philippe %A Gudnason, Vilmundur %A Harris, Tamara B %A Hartikainen, Anna-Liisa %A Havulinna, Aki S %A Heckbert, Susan R %A Hicks, Andrew A %A Hofman, Albert %A Holewijn, Suzanne %A Hoogstra-Berends, Femke %A Hottenga, Jouke-Jan %A Jensen, Majken K %A Johansson, Asa %A Junttila, Juhani %A Kääb, Stefan %A Kanon, Bart %A Ketkar, Shamika %A Khaw, Kay-Tee %A Knowles, Joshua W %A Kooner, Angrad S %A Kors, Jan A %A Kumari, Meena %A Milani, Lili %A Laiho, Päivi %A Lakatta, Edward G %A Langenberg, Claudia %A Leusink, Maarten %A Liu, Yongmei %A Luben, Robert N %A Lunetta, Kathryn L %A Lynch, Stacey N %A Markus, Marcello R P %A Marques-Vidal, Pedro %A Mateo Leach, Irene %A McArdle, Wendy L %A McCarroll, Steven A %A Medland, Sarah E %A Miller, Kathryn A %A Montgomery, Grant W %A Morrison, Alanna C %A Müller-Nurasyid, Martina %A Navarro, Pau %A Nelis, Mari %A O'Connell, Jeffrey R %A O'Donnell, Christopher J %A Ong, Ken K %A Newman, Anne B %A Peters, Annette %A Polasek, Ozren %A Pouta, Anneli %A Pramstaller, Peter P %A Psaty, Bruce M %A Rao, Dabeeru C %A Ring, Susan M %A Rossin, Elizabeth J %A Rudan, Diana %A Sanna, Serena %A Scott, Robert A %A Sehmi, Jaban S %A Sharp, Stephen %A Shin, Jordan T %A Singleton, Andrew B %A Smith, Albert V %A Soranzo, Nicole %A Spector, Tim D %A Stewart, Chip %A Stringham, Heather M %A Tarasov, Kirill V %A Uitterlinden, André G %A Vandenput, Liesbeth %A Hwang, Shih-Jen %A Whitfield, John B %A Wijmenga, Cisca %A Wild, Sarah H %A Willemsen, Gonneke %A Wilson, James F %A Witteman, Jacqueline C M %A Wong, Andrew %A Wong, Quenna %A Jamshidi, Yalda %A Zitting, Paavo %A Boer, Jolanda M A %A Boomsma, Dorret I %A Borecki, Ingrid B %A van Duijn, Cornelia M %A Ekelund, Ulf %A Forouhi, Nita G %A Froguel, Philippe %A Hingorani, Aroon %A Ingelsson, Erik %A Kivimaki, Mika %A Kronmal, Richard A %A Kuh, Diana %A Lind, Lars %A Martin, Nicholas G %A Oostra, Ben A %A Pedersen, Nancy L %A Quertermous, Thomas %A Rotter, Jerome I %A van der Schouw, Yvonne T %A Verschuren, W M Monique %A Walker, Mark %A Albanes, Demetrius %A Arnar, David O %A Assimes, Themistocles L %A Bandinelli, Stefania %A Boehnke, Michael %A de Boer, Rudolf A %A Bouchard, Claude %A Caulfield, W L Mark %A Chambers, John C %A Curhan, Gary %A Cusi, Daniele %A Eriksson, Johan %A Ferrucci, Luigi %A van Gilst, Wiek H %A Glorioso, Nicola %A de Graaf, Jacqueline %A Groop, Leif %A Gyllensten, Ulf %A Hsueh, Wen-Chi %A Hu, Frank B %A Huikuri, Heikki V %A Hunter, David J %A Iribarren, Carlos %A Isomaa, Bo %A Jarvelin, Marjo-Riitta %A Jula, Antti %A Kähönen, Mika %A Kiemeney, Lambertus A %A van der Klauw, Melanie M %A Kooner, Jaspal S %A Kraft, Peter %A Iacoviello, Licia %A Lehtimäki, Terho %A Lokki, Marja-Liisa L %A Mitchell, Braxton D %A Navis, Gerjan %A Nieminen, Markku S %A Ohlsson, Claes %A Poulter, Neil R %A Qi, Lu %A Raitakari, Olli T %A Rimm, Eric B %A Rioux, John D %A Rizzi, Federica %A Rudan, Igor %A Salomaa, Veikko %A Sever, Peter S %A Shields, Denis C %A Shuldiner, Alan R %A Sinisalo, Juha %A Stanton, Alice V %A Stolk, Ronald P %A Strachan, David P %A Tardif, Jean-Claude %A Thorsteinsdottir, Unnur %A Tuomilehto, Jaako %A van Veldhuisen, Dirk J %A Virtamo, Jarmo %A Viikari, Jorma %A Vollenweider, Peter %A Waeber, Gérard %A Widen, Elisabeth %A Cho, Yoon Shin %A Olsen, Jesper V %A Visscher, Peter M %A Willer, Cristen %A Franke, Lude %A Erdmann, Jeanette %A Thompson, John R %A Pfeufer, Arne %A Sotoodehnia, Nona %A Newton-Cheh, Christopher %A Ellinor, Patrick T %A Stricker, Bruno H Ch %A Metspalu, Andres %A Perola, Markus %A Beckmann, Jacques S %A Smith, George Davey %A Stefansson, Kari %A Wareham, Nicholas J %A Munroe, Patricia B %A Sibon, Ody C M %A Milan, David J %A Snieder, Harold %A Samani, Nilesh J %A Loos, Ruth J F %K Animals %K Arrhythmias, Cardiac %K Gene Frequency %K Genetic Loci %K Genome-Wide Association Study %K Heart Conduction System %K Heart Rate %K Humans %K Metabolic Networks and Pathways %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %X

Elevated resting heart rate is associated with greater risk of cardiovascular disease and mortality. In a 2-stage meta-analysis of genome-wide association studies in up to 181,171 individuals, we identified 14 new loci associated with heart rate and confirmed associations with all 7 previously established loci. Experimental downregulation of gene expression in Drosophila melanogaster and Danio rerio identified 20 genes at 11 loci that are relevant for heart rate regulation and highlight a role for genes involved in signal transmission, embryonic cardiac development and the pathophysiology of dilated cardiomyopathy, congenital heart failure and/or sudden cardiac death. In addition, genetic susceptibility to increased heart rate is associated with altered cardiac conduction and reduced risk of sick sinus syndrome, and both heart rate-increasing and heart rate-decreasing variants associate with risk of atrial fibrillation. Our findings provide fresh insights into the mechanisms regulating heart rate and identify new therapeutic targets.

%B Nat Genet %V 45 %P 621-31 %8 2013 Jun %G eng %N 6 %R 10.1038/ng.2610 %0 Journal Article %J PLoS One %D 2013 %T Insights into the genetic architecture of early stage age-related macular degeneration: a genome-wide association study meta-analysis. %A Holliday, Elizabeth G %A Smith, Albert V %A Cornes, Belinda K %A Buitendijk, Gabriëlle H S %A Jensen, Richard A %A Sim, Xueling %A Aspelund, Thor %A Aung, Tin %A Baird, Paul N %A Boerwinkle, Eric %A Cheng, Ching Yu %A van Duijn, Cornelia M %A Eiriksdottir, Gudny %A Gudnason, Vilmundur %A Harris, Tamara %A Hewitt, Alex W %A Inouye, Michael %A Jonasson, Fridbert %A Klein, Barbara E K %A Launer, Lenore %A Li, Xiaohui %A Liew, Gerald %A Lumley, Thomas %A McElduff, Patrick %A McKnight, Barbara %A Mitchell, Paul %A Psaty, Bruce M %A Rochtchina, Elena %A Rotter, Jerome I %A Scott, Rodney J %A Tay, Wanting %A Taylor, Kent %A Teo, Yik Ying %A Uitterlinden, André G %A Viswanathan, Ananth %A Xie, Sophia %A Vingerling, Johannes R %A Klaver, Caroline C W %A Tai, E Shyong %A Siscovick, David %A Klein, Ronald %A Cotch, Mary Frances %A Wong, Tien Y %A Attia, John %A Wang, Jie Jin %K Apolipoproteins E %K Complement Factor H %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Kruppel-Like Transcription Factors %K Macular Degeneration %K Nerve Tissue Proteins %K Polymorphism, Single Nucleotide %K Proteins %K Risk Factors %K Zinc Finger Protein Gli3 %X

Genetic factors explain a majority of risk variance for age-related macular degeneration (AMD). While genome-wide association studies (GWAS) for late AMD implicate genes in complement, inflammatory and lipid pathways, the genetic architecture of early AMD has been relatively under studied. We conducted a GWAS meta-analysis of early AMD, including 4,089 individuals with prevalent signs of early AMD (soft drusen and/or retinal pigment epithelial changes) and 20,453 individuals without these signs. For various published late AMD risk loci, we also compared effect sizes between early and late AMD using an additional 484 individuals with prevalent late AMD. GWAS meta-analysis confirmed previously reported association of variants at the complement factor H (CFH) (peak P = 1.5×10(-31)) and age-related maculopathy susceptibility 2 (ARMS2) (P = 4.3×10(-24)) loci, and suggested Apolipoprotein E (ApoE) polymorphisms (rs2075650; P = 1.1×10(-6)) associated with early AMD. Other possible loci that did not reach GWAS significance included variants in the zinc finger protein gene GLI3 (rs2049622; P = 8.9×10(-6)) and upstream of GLI2 (rs6721654; P = 6.5×10(-6)), encoding retinal Sonic hedgehog signalling regulators, and in the tyrosinase (TYR) gene (rs621313; P = 3.5×10(-6)), involved in melanin biosynthesis. For a range of published, late AMD risk loci, estimated effect sizes were significantly lower for early than late AMD. This study confirms the involvement of multiple established AMD risk variants in early AMD, but suggests weaker genetic effects on the risk of early AMD relative to late AMD. Several biological processes were suggested to be potentially specific for early AMD, including pathways regulating RPE cell melanin content and signalling pathways potentially involved in retinal regeneration, generating hypotheses for further investigation.

%B PLoS One %V 8 %P e53830 %8 2013 %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/23326517?dopt=Abstract %R 10.1371/journal.pone.0053830 %0 Journal Article %J PLoS Genet %D 2013 %T Meta-analysis of genome-wide association studies identifies six new Loci for serum calcium concentrations. %A O'Seaghdha, Conall M %A Wu, Hongsheng %A Yang, Qiong %A Kapur, Karen %A Guessous, Idris %A Zuber, Annie Mercier %A Köttgen, Anna %A Stoudmann, Candice %A Teumer, Alexander %A Kutalik, Zoltán %A Mangino, Massimo %A Dehghan, Abbas %A Zhang, Weihua %A Eiriksdottir, Gudny %A Li, Guo %A Tanaka, Toshiko %A Portas, Laura %A Lopez, Lorna M %A Hayward, Caroline %A Lohman, Kurt %A Matsuda, Koichi %A Padmanabhan, Sandosh %A Firsov, Dmitri %A Sorice, Rossella %A Ulivi, Sheila %A Brockhaus, A Catharina %A Kleber, Marcus E %A Mahajan, Anubha %A Ernst, Florian D %A Gudnason, Vilmundur %A Launer, Lenore J %A Mace, Aurelien %A Boerwinckle, Eric %A Arking, Dan E %A Tanikawa, Chizu %A Nakamura, Yusuke %A Brown, Morris J %A Gaspoz, Jean-Michel %A Theler, Jean-Marc %A Siscovick, David S %A Psaty, Bruce M %A Bergmann, Sven %A Vollenweider, Peter %A Vitart, Veronique %A Wright, Alan F %A Zemunik, Tatijana %A Boban, Mladen %A Kolcic, Ivana %A Navarro, Pau %A Brown, Edward M %A Estrada, Karol %A Ding, Jingzhong %A Harris, Tamara B %A Bandinelli, Stefania %A Hernandez, Dena %A Singleton, Andrew B %A Girotto, Giorgia %A Ruggiero, Daniela %A d'Adamo, Adamo Pio %A Robino, Antonietta %A Meitinger, Thomas %A Meisinger, Christa %A Davies, Gail %A Starr, John M %A Chambers, John C %A Boehm, Bernhard O %A Winkelmann, Bernhard R %A Huang, Jie %A Murgia, Federico %A Wild, Sarah H %A Campbell, Harry %A Morris, Andrew P %A Franco, Oscar H %A Hofman, Albert %A Uitterlinden, André G %A Rivadeneira, Fernando %A Völker, Uwe %A Hannemann, Anke %A Biffar, Reiner %A Hoffmann, Wolfgang %A Shin, So-Youn %A Lescuyer, Pierre %A Henry, Hughes %A Schurmann, Claudia %A Munroe, Patricia B %A Gasparini, Paolo %A Pirastu, Nicola %A Ciullo, Marina %A Gieger, Christian %A März, Winfried %A Lind, Lars %A Spector, Tim D %A Smith, Albert V %A Rudan, Igor %A Wilson, James F %A Polasek, Ozren %A Deary, Ian J %A Pirastu, Mario %A Ferrucci, Luigi %A Liu, Yongmei %A Kestenbaum, Bryan %A Kooner, Jaspal S %A Witteman, Jacqueline C M %A Nauck, Matthias %A Kao, W H Linda %A Wallaschofski, Henri %A Bonny, Olivier %A Fox, Caroline S %A Bochud, Murielle %K Animals %K Bone and Bones %K Bone Density %K Calcium %K European Continental Ancestry Group %K Gene Expression Regulation %K Genome-Wide Association Study %K Homeostasis %K Humans %K Kidney %K Mice %K Polymorphism, Single Nucleotide %X

Calcium is vital to the normal functioning of multiple organ systems and its serum concentration is tightly regulated. Apart from CASR, the genes associated with serum calcium are largely unknown. We conducted a genome-wide association meta-analysis of 39,400 individuals from 17 population-based cohorts and investigated the 14 most strongly associated loci in ≤ 21,679 additional individuals. Seven loci (six new regions) in association with serum calcium were identified and replicated. Rs1570669 near CYP24A1 (P = 9.1E-12), rs10491003 upstream of GATA3 (P = 4.8E-09) and rs7481584 in CARS (P = 1.2E-10) implicate regions involved in Mendelian calcemic disorders: Rs1550532 in DGKD (P = 8.2E-11), also associated with bone density, and rs7336933 near DGKH/KIAA0564 (P = 9.1E-10) are near genes that encode distinct isoforms of diacylglycerol kinase. Rs780094 is in GCKR. We characterized the expression of these genes in gut, kidney, and bone, and demonstrate modulation of gene expression in bone in response to dietary calcium in mice. Our results shed new light on the genetics of calcium homeostasis.

%B PLoS Genet %V 9 %P e1003796 %8 2013 %G eng %N 9 %1 http://www.ncbi.nlm.nih.gov/pubmed/24068962?dopt=Abstract %R 10.1371/journal.pgen.1003796 %0 Journal Article %J Am J Hum Genet %D 2014 %T Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks. %A Peloso, Gina M %A Auer, Paul L %A Bis, Joshua C %A Voorman, Arend %A Morrison, Alanna C %A Stitziel, Nathan O %A Brody, Jennifer A %A Khetarpal, Sumeet A %A Crosby, Jacy R %A Fornage, Myriam %A Isaacs, Aaron %A Jakobsdottir, Johanna %A Feitosa, Mary F %A Davies, Gail %A Huffman, Jennifer E %A Manichaikul, Ani %A Davis, Brian %A Lohman, Kurt %A Joon, Aron Y %A Smith, Albert V %A Grove, Megan L %A Zanoni, Paolo %A Redon, Valeska %A Demissie, Serkalem %A Lawson, Kim %A Peters, Ulrike %A Carlson, Christopher %A Jackson, Rebecca D %A Ryckman, Kelli K %A Mackey, Rachel H %A Robinson, Jennifer G %A Siscovick, David S %A Schreiner, Pamela J %A Mychaleckyj, Josyf C %A Pankow, James S %A Hofman, Albert %A Uitterlinden, André G %A Harris, Tamara B %A Taylor, Kent D %A Stafford, Jeanette M %A Reynolds, Lindsay M %A Marioni, Riccardo E %A Dehghan, Abbas %A Franco, Oscar H %A Patel, Aniruddh P %A Lu, Yingchang %A Hindy, George %A Gottesman, Omri %A Bottinger, Erwin P %A Melander, Olle %A Orho-Melander, Marju %A Loos, Ruth J F %A Duga, Stefano %A Merlini, Piera Angelica %A Farrall, Martin %A Goel, Anuj %A Asselta, Rosanna %A Girelli, Domenico %A Martinelli, Nicola %A Shah, Svati H %A Kraus, William E %A Li, Mingyao %A Rader, Daniel J %A Reilly, Muredach P %A McPherson, Ruth %A Watkins, Hugh %A Ardissino, Diego %A Zhang, Qunyuan %A Wang, Judy %A Tsai, Michael Y %A Taylor, Herman A %A Correa, Adolfo %A Griswold, Michael E %A Lange, Leslie A %A Starr, John M %A Rudan, Igor %A Eiriksdottir, Gudny %A Launer, Lenore J %A Ordovas, Jose M %A Levy, Daniel %A Chen, Y-D Ida %A Reiner, Alexander P %A Hayward, Caroline %A Polasek, Ozren %A Deary, Ian J %A Borecki, Ingrid B %A Liu, Yongmei %A Gudnason, Vilmundur %A Wilson, James G %A van Duijn, Cornelia M %A Kooperberg, Charles %A Rich, Stephen S %A Psaty, Bruce M %A Rotter, Jerome I %A O'Donnell, Christopher J %A Rice, Kenneth %A Boerwinkle, Eric %A Kathiresan, Sekar %A Cupples, L Adrienne %K 1-Alkyl-2-acetylglycerophosphocholine Esterase %K Adult %K African Continental Ancestry Group %K Aged %K Alleles %K Animals %K Cholesterol, HDL %K Cholesterol, LDL %K Cohort Studies %K Coronary Disease %K European Continental Ancestry Group %K Female %K Gene Frequency %K Genetic Association Studies %K Genetic Code %K Genetic Variation %K Humans %K Linear Models %K Male %K Mice %K Mice, Inbred C57BL %K Microtubule-Associated Proteins %K Middle Aged %K Phenotype %K Sequence Analysis, DNA %K Subtilisins %K Triglycerides %X

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

%B Am J Hum Genet %V 94 %P 223-32 %8 2014 Feb 06 %G eng %N 2 %1 http://www.ncbi.nlm.nih.gov/pubmed/24507774?dopt=Abstract %R 10.1016/j.ajhg.2014.01.009 %0 Journal Article %J PLoS One %D 2014 %T The challenges of genome-wide interaction studies: lessons to learn from the analysis of HDL blood levels. %A van Leeuwen, Elisabeth M %A Smouter, Françoise A S %A Kam-Thong, Tony %A Karbalai, Nazanin %A Smith, Albert V %A Harris, Tamara B %A Launer, Lenore J %A Sitlani, Colleen M %A Li, Guo %A Brody, Jennifer A %A Bis, Joshua C %A White, Charles C %A Jaiswal, Alok %A Oostra, Ben A %A Hofman, Albert %A Rivadeneira, Fernando %A Uitterlinden, André G %A Boerwinkle, Eric %A Ballantyne, Christie M %A Gudnason, Vilmundur %A Psaty, Bruce M %A Cupples, L Adrienne %A Jarvelin, Marjo-Riitta %A Ripatti, Samuli %A Isaacs, Aaron %A Müller-Myhsok, Bertram %A Karssen, Lennart C %A van Duijn, Cornelia M %K Cholesterol, HDL %K Female %K Genome-Wide Association Study %K Humans %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %X

Genome-wide association studies (GWAS) have revealed 74 single nucleotide polymorphisms (SNPs) associated with high-density lipoprotein cholesterol (HDL) blood levels. This study is, to our knowledge, the first genome-wide interaction study (GWIS) to identify SNP×SNP interactions associated with HDL levels. We performed a GWIS in the Rotterdam Study (RS) cohort I (RS-I) using the GLIDE tool which leverages the massively parallel computing power of Graphics Processing Units (GPUs) to perform linear regression on all genome-wide pairs of SNPs. By performing a meta-analysis together with Rotterdam Study cohorts II and III (RS-II and RS-III), we were able to filter 181 interaction terms with a p-value<1 · 10-8 that replicated in the two independent cohorts. We were not able to replicate any of these interaction term in the AGES, ARIC, CHS, ERF, FHS and NFBC-66 cohorts (Ntotal = 30,011) when adjusting for multiple testing. Our GWIS resulted in the consistent finding of a possible interaction between rs774801 in ARMC8 (ENSG00000114098) and rs12442098 in SPATA8 (ENSG00000185594) being associated with HDL levels. However, p-values do not reach the preset Bonferroni correction of the p-values. Our study suggest that even for highly genetically determined traits such as HDL the sample sizes needed to detect SNP×SNP interactions are large and the 2-step filtering approaches do not yield a solution. Here we present our analysis plan and our reservations concerning GWIS.

%B PLoS One %V 9 %P e109290 %8 2014 %G eng %N 10 %1 http://www.ncbi.nlm.nih.gov/pubmed/25329471?dopt=Abstract %R 10.1371/journal.pone.0109290 %0 Journal Article %J Am J Hum Genet %D 2014 %T Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. %A Ganesh, Santhi K %A Chasman, Daniel I %A Larson, Martin G %A Guo, Xiuqing %A Verwoert, Germain %A Bis, Joshua C %A Gu, Xiangjun %A Smith, Albert V %A Yang, Min-Lee %A Zhang, Yan %A Ehret, Georg %A Rose, Lynda M %A Hwang, Shih-Jen %A Papanicolau, George J %A Sijbrands, Eric J %A Rice, Kenneth %A Eiriksdottir, Gudny %A Pihur, Vasyl %A Ridker, Paul M %A Vasan, Ramachandran S %A Newton-Cheh, Christopher %A Raffel, Leslie J %A Amin, Najaf %A Rotter, Jerome I %A Liu, Kiang %A Launer, Lenore J %A Xu, Ming %A Caulfield, Mark %A Morrison, Alanna C %A Johnson, Andrew D %A Vaidya, Dhananjay %A Dehghan, Abbas %A Li, Guo %A Bouchard, Claude %A Harris, Tamara B %A Zhang, He %A Boerwinkle, Eric %A Siscovick, David S %A Gao, Wei %A Uitterlinden, André G %A Rivadeneira, Fernando %A Hofman, Albert %A Willer, Cristen J %A Franco, Oscar H %A Huo, Yong %A Witteman, Jacqueline C M %A Munroe, Patricia B %A Gudnason, Vilmundur %A Palmas, Walter %A van Duijn, Cornelia %A Fornage, Myriam %A Levy, Daniel %A Psaty, Bruce M %A Chakravarti, Aravinda %K Blood Pressure %K Genome-Wide Association Study %K Humans %K Longitudinal Studies %K Phenotype %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %X

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.

%B Am J Hum Genet %V 95 %P 49-65 %8 2014 Jul 03 %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/24975945?dopt=Abstract %R 10.1016/j.ajhg.2014.06.002 %0 Journal Article %J Am J Hum Genet %D 2014 %T Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia. %A Simino, Jeannette %A Shi, Gang %A Bis, Joshua C %A Chasman, Daniel I %A Ehret, Georg B %A Gu, Xiangjun %A Guo, Xiuqing %A Hwang, Shih-Jen %A Sijbrands, Eric %A Smith, Albert V %A Verwoert, Germaine C %A Bragg-Gresham, Jennifer L %A Cadby, Gemma %A Chen, Peng %A Cheng, Ching-Yu %A Corre, Tanguy %A de Boer, Rudolf A %A Goel, Anuj %A Johnson, Toby %A Khor, Chiea-Chuen %A Lluís-Ganella, Carla %A Luan, Jian'an %A Lyytikäinen, Leo-Pekka %A Nolte, Ilja M %A Sim, Xueling %A Sõber, Siim %A van der Most, Peter J %A Verweij, Niek %A Zhao, Jing Hua %A Amin, Najaf %A Boerwinkle, Eric %A Bouchard, Claude %A Dehghan, Abbas %A Eiriksdottir, Gudny %A Elosua, Roberto %A Franco, Oscar H %A Gieger, Christian %A Harris, Tamara B %A Hercberg, Serge %A Hofman, Albert %A James, Alan L %A Johnson, Andrew D %A Kähönen, Mika %A Khaw, Kay-Tee %A Kutalik, Zoltán %A Larson, Martin G %A Launer, Lenore J %A Li, Guo %A Liu, Jianjun %A Liu, Kiang %A Morrison, Alanna C %A Navis, Gerjan %A Ong, Rick Twee-Hee %A Papanicolau, George J %A Penninx, Brenda W %A Psaty, Bruce M %A Raffel, Leslie J %A Raitakari, Olli T %A Rice, Kenneth %A Rivadeneira, Fernando %A Rose, Lynda M %A Sanna, Serena %A Scott, Robert A %A Siscovick, David S %A Stolk, Ronald P %A Uitterlinden, André G %A Vaidya, Dhananjay %A van der Klauw, Melanie M %A Vasan, Ramachandran S %A Vithana, Eranga Nishanthie %A Völker, Uwe %A Völzke, Henry %A Watkins, Hugh %A Young, Terri L %A Aung, Tin %A Bochud, Murielle %A Farrall, Martin %A Hartman, Catharina A %A Laan, Maris %A Lakatta, Edward G %A Lehtimäki, Terho %A Loos, Ruth J F %A Lucas, Gavin %A Meneton, Pierre %A Palmer, Lyle J %A Rettig, Rainer %A Snieder, Harold %A Tai, E Shyong %A Teo, Yik-Ying %A van der Harst, Pim %A Wareham, Nicholas J %A Wijmenga, Cisca %A Wong, Tien Yin %A Fornage, Myriam %A Gudnason, Vilmundur %A Levy, Daniel %A Palmas, Walter %A Ridker, Paul M %A Rotter, Jerome I %A van Duijn, Cornelia M %A Witteman, Jacqueline C M %A Chakravarti, Aravinda %A Rao, Dabeeru C %K Adolescent %K Adult %K Age Factors %K Aged %K Blood Pressure %K Cohort Studies %K Humans %K Middle Aged %K Young Adult %X

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.

%B Am J Hum Genet %V 95 %P 24-38 %8 2014 Jul 03 %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/24954895?dopt=Abstract %R 10.1016/j.ajhg.2014.05.010 %0 Journal Article %J PLoS One %D 2014 %T Gene-wide analysis detects two new susceptibility genes for Alzheimer's disease. %A Escott-Price, Valentina %A Bellenguez, Céline %A Wang, Li-San %A Choi, Seung-Hoan %A Harold, Denise %A Jones, Lesley %A Holmans, Peter %A Gerrish, Amy %A Vedernikov, Alexey %A Richards, Alexander %A DeStefano, Anita L %A Lambert, Jean-Charles %A Ibrahim-Verbaas, Carla A %A Naj, Adam C %A Sims, Rebecca %A Jun, Gyungah %A Bis, Joshua C %A Beecham, Gary W %A Grenier-Boley, Benjamin %A Russo, Giancarlo %A Thornton-Wells, Tricia A %A Denning, Nicola %A Smith, Albert V %A Chouraki, Vincent %A Thomas, Charlene %A Ikram, M Arfan %A Zelenika, Diana %A Vardarajan, Badri N %A Kamatani, Yoichiro %A Lin, Chiao-Feng %A Schmidt, Helena %A Kunkle, Brian %A Dunstan, Melanie L %A Vronskaya, Maria %A Johnson, Andrew D %A Ruiz, Agustin %A Bihoreau, Marie-Thérèse %A Reitz, Christiane %A Pasquier, Florence %A Hollingworth, Paul %A Hanon, Olivier %A Fitzpatrick, Annette L %A Buxbaum, Joseph D %A Campion, Dominique %A Crane, Paul K %A Baldwin, Clinton %A Becker, Tim %A Gudnason, Vilmundur %A Cruchaga, Carlos %A Craig, David %A Amin, Najaf %A Berr, Claudine %A Lopez, Oscar L %A De Jager, Philip L %A Deramecourt, Vincent %A Johnston, Janet A %A Evans, Denis %A Lovestone, Simon %A Letenneur, Luc %A Hernandez, Isabel %A Rubinsztein, David C %A Eiriksdottir, Gudny %A Sleegers, Kristel %A Goate, Alison M %A Fiévet, Nathalie %A Huentelman, Matthew J %A Gill, Michael %A Brown, Kristelle %A Kamboh, M Ilyas %A Keller, Lina %A Barberger-Gateau, Pascale %A McGuinness, Bernadette %A Larson, Eric B %A Myers, Amanda J %A Dufouil, Carole %A Todd, Stephen %A Wallon, David %A Love, Seth %A Rogaeva, Ekaterina %A Gallacher, John %A George-Hyslop, Peter St %A Clarimon, Jordi %A Lleo, Alberto %A Bayer, Anthony %A Tsuang, Debby W %A Yu, Lei %A Tsolaki, Magda %A Bossù, Paola %A Spalletta, Gianfranco %A Proitsi, Petra %A Collinge, John %A Sorbi, Sandro %A Garcia, Florentino Sanchez %A Fox, Nick C %A Hardy, John %A Naranjo, Maria Candida Deniz %A Bosco, Paolo %A Clarke, Robert %A Brayne, Carol %A Galimberti, Daniela %A Scarpini, Elio %A Bonuccelli, Ubaldo %A Mancuso, Michelangelo %A Siciliano, Gabriele %A Moebus, Susanne %A Mecocci, Patrizia %A Zompo, Maria Del %A Maier, Wolfgang %A Hampel, Harald %A Pilotto, Alberto %A Frank-García, Ana %A Panza, Francesco %A Solfrizzi, Vincenzo %A Caffarra, Paolo %A Nacmias, Benedetta %A Perry, William %A Mayhaus, Manuel %A Lannfelt, Lars %A Hakonarson, Hakon %A Pichler, Sabrina %A Carrasquillo, Minerva M %A Ingelsson, Martin %A Beekly, Duane %A Alvarez, Victoria %A Zou, Fanggeng %A Valladares, Otto %A Younkin, Steven G %A Coto, Eliecer %A Hamilton-Nelson, Kara L %A Gu, Wei %A Razquin, Cristina %A Pastor, Pau %A Mateo, Ignacio %A Owen, Michael J %A Faber, Kelley M %A Jonsson, Palmi V %A Combarros, Onofre %A O'Donovan, Michael C %A Cantwell, Laura B %A Soininen, Hilkka %A Blacker, Deborah %A Mead, Simon %A Mosley, Thomas H %A Bennett, David A %A Harris, Tamara B %A Fratiglioni, Laura %A Holmes, Clive %A de Bruijn, Renee F A G %A Passmore, Peter %A Montine, Thomas J %A Bettens, Karolien %A Rotter, Jerome I %A Brice, Alexis %A Morgan, Kevin %A Foroud, Tatiana M %A Kukull, Walter A %A Hannequin, Didier %A Powell, John F %A Nalls, Michael A %A Ritchie, Karen %A Lunetta, Kathryn L %A Kauwe, John S K %A Boerwinkle, Eric %A Riemenschneider, Matthias %A Boada, Merce %A Hiltunen, Mikko %A Martin, Eden R %A Schmidt, Reinhold %A Rujescu, Dan %A Dartigues, Jean-François %A Mayeux, Richard %A Tzourio, Christophe %A Hofman, Albert %A Nöthen, Markus M %A Graff, Caroline %A Psaty, Bruce M %A Haines, Jonathan L %A Lathrop, Mark %A Pericak-Vance, Margaret A %A Launer, Lenore J %A Van Broeckhoven, Christine %A Farrer, Lindsay A %A van Duijn, Cornelia M %A Ramirez, Alfredo %A Seshadri, Sudha %A Schellenberg, Gerard D %A Amouyel, Philippe %A Williams, Julie %K Alzheimer Disease %K Carrier Proteins %K Case-Control Studies %K Genome-Wide Association Study %K Heat-Shock Proteins %K Humans %K Polymorphism, Single Nucleotide %K Receptors, Antigen, B-Cell %X

BACKGROUND: Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer's cases and 48,466 controls.

PRINCIPAL FINDINGS: In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4×10-6) and 14 (IGHV1-67 p = 7.9×10-8) which indexed novel susceptibility loci.

SIGNIFICANCE: The additional genes identified in this study, have an array of functions previously implicated in Alzheimer's disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer's disease.

%B PLoS One %V 9 %P e94661 %8 2014 %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/24922517?dopt=Abstract %R 10.1371/journal.pone.0094661 %0 Journal Article %J PLoS One %D 2014 %T Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function. %A Tang, Wenbo %A Kowgier, Matthew %A Loth, Daan W %A Soler Artigas, Maria %A Joubert, Bonnie R %A Hodge, Emily %A Gharib, Sina A %A Smith, Albert V %A Ruczinski, Ingo %A Gudnason, Vilmundur %A Mathias, Rasika A %A Harris, Tamara B %A Hansel, Nadia N %A Launer, Lenore J %A Barnes, Kathleen C %A Hansen, Joyanna G %A Albrecht, Eva %A Aldrich, Melinda C %A Allerhand, Michael %A Barr, R Graham %A Brusselle, Guy G %A Couper, David J %A Curjuric, Ivan %A Davies, Gail %A Deary, Ian J %A Dupuis, Josée %A Fall, Tove %A Foy, Millennia %A Franceschini, Nora %A Gao, Wei %A Gläser, Sven %A Gu, Xiangjun %A Hancock, Dana B %A Heinrich, Joachim %A Hofman, Albert %A Imboden, Medea %A Ingelsson, Erik %A James, Alan %A Karrasch, Stefan %A Koch, Beate %A Kritchevsky, Stephen B %A Kumar, Ashish %A Lahousse, Lies %A Li, Guo %A Lind, Lars %A Lindgren, Cecilia %A Liu, Yongmei %A Lohman, Kurt %A Lumley, Thomas %A McArdle, Wendy L %A Meibohm, Bernd %A Morris, Andrew P %A Morrison, Alanna C %A Musk, Bill %A North, Kari E %A Palmer, Lyle J %A Probst-Hensch, Nicole M %A Psaty, Bruce M %A Rivadeneira, Fernando %A Rotter, Jerome I %A Schulz, Holger %A Smith, Lewis J %A Sood, Akshay %A Starr, John M %A Strachan, David P %A Teumer, Alexander %A Uitterlinden, André G %A Völzke, Henry %A Voorman, Arend %A Wain, Louise V %A Wells, Martin T %A Wilk, Jemma B %A Williams, O Dale %A Heckbert, Susan R %A Stricker, Bruno H %A London, Stephanie J %A Fornage, Myriam %A Tobin, Martin D %A O'Connor, George T %A Hall, Ian P %A Cassano, Patricia A %K Adult %K Chromosomes, Human, Pair 11 %K Female %K Gene Expression Regulation %K Genetic Loci %K Genome-Wide Association Study %K Humans %K Longitudinal Studies %K Male %K Respiration %X

BACKGROUND: Genome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function.

METHODS: We performed GWAS of the rate of change in forced expiratory volume in the first second (FEV1) in 14 longitudinal, population-based cohort studies comprising 27,249 adults of European ancestry using linear mixed effects model and combined cohort-specific results using fixed effect meta-analysis to identify novel genetic loci associated with longitudinal change in lung function. Gene expression analyses were subsequently performed for identified genetic loci. As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis.

RESULTS: The overall meta-analysis produced suggestive evidence for association at the novel IL16/STARD5/TMC3 locus on chromosome 15 (P  =  5.71 × 10(-7)). In addition, meta-analysis using the five cohorts with ≥3 FEV1 measurements per participant identified the novel ME3 locus on chromosome 11 (P  =  2.18 × 10(-8)) at genome-wide significance. Neither locus was associated with FEV1 decline in two additional cohort studies. We confirmed gene expression of IL16, STARD5, and ME3 in multiple lung tissues. Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. Irrespective of genotypes, the combined estimate for FEV1 decline was 26.9, 29.2 and 35.7 mL/year in never, former, and persistent smokers, respectively.

CONCLUSIONS: In this large-scale GWAS, we identified two novel genetic loci in association with the rate of change in FEV1 that harbor candidate genes with biologically plausible functional links to lung function.

%B PLoS One %V 9 %P e100776 %8 2014 %G eng %N 7 %1 http://www.ncbi.nlm.nih.gov/pubmed/24983941?dopt=Abstract %R 10.1371/journal.pone.0100776 %0 Journal Article %J J Am Coll Cardiol %D 2014 %T Novel genetic markers associate with atrial fibrillation risk in Europeans and Japanese. %A Lubitz, Steven A %A Lunetta, Kathryn L %A Lin, Honghuang %A Arking, Dan E %A Trompet, Stella %A Li, Guo %A Krijthe, Bouwe P %A Chasman, Daniel I %A Barnard, John %A Kleber, Marcus E %A Dörr, Marcus %A Ozaki, Kouichi %A Smith, Albert V %A Müller-Nurasyid, Martina %A Walter, Stefan %A Agarwal, Sunil K %A Bis, Joshua C %A Brody, Jennifer A %A Chen, Lin Y %A Everett, Brendan M %A Ford, Ian %A Franco, Oscar H %A Harris, Tamara B %A Hofman, Albert %A Kääb, Stefan %A Mahida, Saagar %A Kathiresan, Sekar %A Kubo, Michiaki %A Launer, Lenore J %A Macfarlane, Peter W %A Magnani, Jared W %A McKnight, Barbara %A McManus, David D %A Peters, Annette %A Psaty, Bruce M %A Rose, Lynda M %A Rotter, Jerome I %A Silbernagel, Guenther %A Smith, Jonathan D %A Sotoodehnia, Nona %A Stott, David J %A Taylor, Kent D %A Tomaschitz, Andreas %A Tsunoda, Tatsuhiko %A Uitterlinden, André G %A Van Wagoner, David R %A Völker, Uwe %A Völzke, Henry %A Murabito, Joanne M %A Sinner, Moritz F %A Gudnason, Vilmundur %A Felix, Stephan B %A März, Winfried %A Chung, Mina %A Albert, Christine M %A Stricker, Bruno H %A Tanaka, Toshihiro %A Heckbert, Susan R %A Jukema, J Wouter %A Alonso, Alvaro %A Benjamin, Emelia J %A Ellinor, Patrick T %K Adult %K Aged %K Aged, 80 and over %K Asian Continental Ancestry Group %K Atrial Fibrillation %K Chromosome Mapping %K Chromosomes, Human, Pair 4 %K Europe %K European Continental Ancestry Group %K Female %K Genetic Markers %K Genetic Predisposition to Disease %K Homeodomain Proteins %K Humans %K Japan %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Transcription Factors %X

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

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

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

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

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

%B J Am Coll Cardiol %V 63 %P 1200-10 %8 2014 Apr 1 %G eng %N 12 %1 http://www.ncbi.nlm.nih.gov/pubmed/24486271?dopt=Abstract %R 10.1016/j.jacc.2013.12.015 %0 Journal Article %J Nat Commun %D 2014 %T Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins. %A Postmus, Iris %A Trompet, Stella %A Deshmukh, Harshal A %A Barnes, Michael R %A Li, Xiaohui %A Warren, Helen R %A Chasman, Daniel I %A Zhou, Kaixin %A Arsenault, Benoit J %A Donnelly, Louise A %A Wiggins, Kerri L %A Avery, Christy L %A Griffin, Paula %A Feng, QiPing %A Taylor, Kent D %A Li, Guo %A Evans, Daniel S %A Smith, Albert V %A de Keyser, Catherine E %A Johnson, Andrew D %A de Craen, Anton J M %A Stott, David J %A Buckley, Brendan M %A Ford, Ian %A Westendorp, Rudi G J %A Slagboom, P Eline %A Sattar, Naveed %A Munroe, Patricia B %A Sever, Peter %A Poulter, Neil %A Stanton, Alice %A Shields, Denis C %A O'Brien, Eoin %A Shaw-Hawkins, Sue %A Chen, Y-D Ida %A Nickerson, Deborah A %A Smith, Joshua D %A Dubé, Marie Pierre %A Boekholdt, S Matthijs %A Hovingh, G Kees %A Kastelein, John J P %A McKeigue, Paul M %A Betteridge, John %A Neil, Andrew %A Durrington, Paul N %A Doney, Alex %A Carr, Fiona %A Morris, Andrew %A McCarthy, Mark I %A Groop, Leif %A Ahlqvist, Emma %A Bis, Joshua C %A Rice, Kenneth %A Smith, Nicholas L %A Lumley, Thomas %A Whitsel, Eric A %A Stürmer, Til %A Boerwinkle, Eric %A Ngwa, Julius S %A O'Donnell, Christopher J %A Vasan, Ramachandran S %A Wei, Wei-Qi %A Wilke, Russell A %A Liu, Ching-Ti %A Sun, Fangui %A Guo, Xiuqing %A Heckbert, Susan R %A Post, Wendy %A Sotoodehnia, Nona %A Arnold, Alice M %A Stafford, Jeanette M %A Ding, Jingzhong %A Herrington, David M %A Kritchevsky, Stephen B %A Eiriksdottir, Gudny %A Launer, Leonore J %A Harris, Tamara B %A Chu, Audrey Y %A Giulianini, Franco %A MacFadyen, Jean G %A Barratt, Bryan J %A Nyberg, Fredrik %A Stricker, Bruno H %A Uitterlinden, André G %A Hofman, Albert %A Rivadeneira, Fernando %A Emilsson, Valur %A Franco, Oscar H %A Ridker, Paul M %A Gudnason, Vilmundur %A Liu, Yongmei %A Denny, Joshua C %A Ballantyne, Christie M %A Rotter, Jerome I %A Adrienne Cupples, L %A Psaty, Bruce M %A Palmer, Colin N A %A Tardif, Jean-Claude %A Colhoun, Helen M %A Hitman, Graham %A Krauss, Ronald M %A Wouter Jukema, J %A Caulfield, Mark J %K Cholesterol, LDL %K Genome-Wide Association Study %K Humans %K Hydroxymethylglutaryl-CoA Reductase Inhibitors %K Pharmacogenetics %K Polymorphism, Single Nucleotide %X

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.

%B Nat Commun %V 5 %P 5068 %8 2014 Oct 28 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/25350695?dopt=Abstract %R 10.1038/ncomms6068 %0 Journal Article %J Hum Mol Genet %D 2014 %T Trans-ethnic meta-analysis of white blood cell phenotypes. %A Keller, Margaux F %A Reiner, Alexander P %A Okada, Yukinori %A van Rooij, Frank J A %A Johnson, Andrew D %A Chen, Ming-Huei %A Smith, Albert V %A Morris, Andrew P %A Tanaka, Toshiko %A Ferrucci, Luigi %A Zonderman, Alan B %A Lettre, Guillaume %A Harris, Tamara %A Garcia, Melissa %A Bandinelli, Stefania %A Qayyum, Rehan %A Yanek, Lisa R %A Becker, Diane M %A Becker, Lewis C %A Kooperberg, Charles %A Keating, Brendan %A Reis, Jared %A Tang, Hua %A Boerwinkle, Eric %A Kamatani, Yoichiro %A Matsuda, Koichi %A Kamatani, Naoyuki %A Nakamura, Yusuke %A Kubo, Michiaki %A Liu, Simin %A Dehghan, Abbas %A Felix, Janine F %A Hofman, Albert %A Uitterlinden, André G %A van Duijn, Cornelia M %A Franco, Oscar H %A Longo, Dan L %A Singleton, Andrew B %A Psaty, Bruce M %A Evans, Michelle K %A Cupples, L Adrienne %A Rotter, Jerome I %A O'Donnell, Christopher J %A Takahashi, Atsushi %A Wilson, James G %A Ganesh, Santhi K %A Nalls, Mike A %K African Americans %K Asian Continental Ancestry Group %K Bayes Theorem %K European Continental Ancestry Group %K Genome, Human %K Genome-Wide Association Study %K Genotype %K Humans %K Leukocyte Count %K Leukocytes %K Linkage Disequilibrium %K Phenotype %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %X

White blood cell (WBC) count is a common clinical measure used as a predictor of certain aspects of human health, including immunity and infection status. WBC count is also a complex trait that varies among individuals and ancestry groups. Differences in linkage disequilibrium structure and heterogeneity in allelic effects are expected to play a role in the associations observed between populations. Prior genome-wide association study (GWAS) meta-analyses have identified genomic loci associated with WBC and its subtypes, but much of the heritability of these phenotypes remains unexplained. Using GWAS summary statistics for over 50 000 individuals from three diverse populations (Japanese, African-American and European ancestry), a Bayesian model methodology was employed to account for heterogeneity between ancestry groups. This approach was used to perform a trans-ethnic meta-analysis of total WBC, neutrophil and monocyte counts. Ten previously known associations were replicated and six new loci were identified, including several regions harboring genes related to inflammation and immune cell function. Ninety-five percent credible interval regions were calculated to narrow the association signals and fine-map the putatively causal variants within loci. Finally, a conditional analysis was performed on the most significant SNPs identified by the trans-ethnic meta-analysis (MA), and nine secondary signals within loci previously associated with WBC or its subtypes were identified. This work illustrates the potential of trans-ethnic analysis and ascribes a critical role to multi-ethnic cohorts and consortia in exploring complex phenotypes with respect to variants that lie outside the European-biased GWAS pool.

%B Hum Mol Genet %V 23 %P 6944-60 %8 2014 Dec 20 %G eng %N 25 %1 http://www.ncbi.nlm.nih.gov/pubmed/25096241?dopt=Abstract %R 10.1093/hmg/ddu401 %0 Journal Article %J Am J Hum Genet %D 2014 %T Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol. %A Lange, Leslie A %A Hu, Youna %A Zhang, He %A Xue, Chenyi %A Schmidt, Ellen M %A Tang, Zheng-Zheng %A Bizon, Chris %A Lange, Ethan M %A Smith, Joshua D %A Turner, Emily H %A Jun, Goo %A Kang, Hyun Min %A Peloso, Gina %A Auer, Paul %A Li, Kuo-Ping %A Flannick, Jason %A Zhang, Ji %A Fuchsberger, Christian %A Gaulton, Kyle %A Lindgren, Cecilia %A Locke, Adam %A Manning, Alisa %A Sim, Xueling %A Rivas, Manuel A %A Holmen, Oddgeir L %A Gottesman, Omri %A Lu, Yingchang %A Ruderfer, Douglas %A Stahl, Eli A %A Duan, Qing %A Li, Yun %A Durda, Peter %A Jiao, Shuo %A Isaacs, Aaron %A Hofman, Albert %A Bis, Joshua C %A Correa, Adolfo %A Griswold, Michael E %A Jakobsdottir, Johanna %A Smith, Albert V %A Schreiner, Pamela J %A Feitosa, Mary F %A Zhang, Qunyuan %A Huffman, Jennifer E %A Crosby, Jacy %A Wassel, Christina L %A Do, Ron %A Franceschini, Nora %A Martin, Lisa W %A Robinson, Jennifer G %A Assimes, Themistocles L %A Crosslin, David R %A Rosenthal, Elisabeth A %A Tsai, Michael %A Rieder, Mark J %A Farlow, Deborah N %A Folsom, Aaron R %A Lumley, Thomas %A Fox, Ervin R %A Carlson, Christopher S %A Peters, Ulrike %A Jackson, Rebecca D %A van Duijn, Cornelia M %A Uitterlinden, André G %A Levy, Daniel %A Rotter, Jerome I %A Taylor, Herman A %A Gudnason, Vilmundur %A Siscovick, David S %A Fornage, Myriam %A Borecki, Ingrid B %A Hayward, Caroline %A Rudan, Igor %A Chen, Y Eugene %A Bottinger, Erwin P %A Loos, Ruth J F %A Sætrom, Pål %A Hveem, Kristian %A Boehnke, Michael %A Groop, Leif %A McCarthy, Mark %A Meitinger, Thomas %A Ballantyne, Christie M %A Gabriel, Stacey B %A O'Donnell, Christopher J %A Post, Wendy S %A North, Kari E %A Reiner, Alexander P %A Boerwinkle, Eric %A Psaty, Bruce M %A Altshuler, David %A Kathiresan, Sekar %A Lin, Dan-Yu %A Jarvik, Gail P %A Cupples, L Adrienne %A Kooperberg, Charles %A Wilson, James G %A Nickerson, Deborah A %A Abecasis, Goncalo R %A Rich, Stephen S %A Tracy, Russell P %A Willer, Cristen J %K Adult %K Aged %K Apolipoproteins E %K Cholesterol, LDL %K Cohort Studies %K Dyslipidemias %K Exome %K Female %K Follow-Up Studies %K Gene Frequency %K Genetic Code %K Genome-Wide Association Study %K Genotype %K Humans %K Lipase %K Male %K Middle Aged %K Phenotype %K Polymorphism, Single Nucleotide %K Proprotein Convertase 9 %K Proprotein Convertases %K Receptors, LDL %K Sequence Analysis, DNA %K Serine Endopeptidases %X

Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98(th) or <2(nd) percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments.

%B Am J Hum Genet %V 94 %P 233-45 %8 2014 Feb 06 %G eng %N 2 %1 http://www.ncbi.nlm.nih.gov/pubmed/24507775?dopt=Abstract %R 10.1016/j.ajhg.2014.01.010 %0 Journal Article %J J Gerontol A Biol Sci Med Sci %D 2015 %T GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy. %A Broer, Linda %A Buchman, Aron S %A Deelen, Joris %A Evans, Daniel S %A Faul, Jessica D %A Lunetta, Kathryn L %A Sebastiani, Paola %A Smith, Jennifer A %A Smith, Albert V %A Tanaka, Toshiko %A Yu, Lei %A Arnold, Alice M %A Aspelund, Thor %A Benjamin, Emelia J %A De Jager, Philip L %A Eirkisdottir, Gudny %A Evans, Denis A %A Garcia, Melissa E %A Hofman, Albert %A Kaplan, Robert C %A Kardia, Sharon L R %A Kiel, Douglas P %A Oostra, Ben A %A Orwoll, Eric S %A Parimi, Neeta %A Psaty, Bruce M %A Rivadeneira, Fernando %A Rotter, Jerome I %A Seshadri, Sudha %A Singleton, Andrew %A Tiemeier, Henning %A Uitterlinden, André G %A Zhao, Wei %A Bandinelli, Stefania %A Bennett, David A %A Ferrucci, Luigi %A Gudnason, Vilmundur %A Harris, Tamara B %A Karasik, David %A Launer, Lenore J %A Perls, Thomas T %A Slagboom, P Eline %A Tranah, Gregory J %A Weir, David R %A Newman, Anne B %A van Duijn, Cornelia M %A Murabito, Joanne M %K Aged %K Aged, 80 and over %K Apolipoproteins E %K Cell Adhesion Molecules %K Cohort Studies %K Female %K Forkhead Box Protein O3 %K Forkhead Transcription Factors %K Genome-Wide Association Study %K Humans %K Longevity %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Receptors, Kainic Acid %X

BACKGROUND: The genetic contribution to longevity in humans has been estimated to range from 15% to 25%. Only two genes, APOE and FOXO3, have shown association with longevity in multiple independent studies.

METHODS: We conducted a meta-analysis of genome-wide association studies including 6,036 longevity cases, age ≥90 years, and 3,757 controls that died between ages 55 and 80 years. We additionally attempted to replicate earlier identified single nucleotide polymorphism (SNP) associations with longevity.

RESULTS: In our meta-analysis, we found suggestive evidence for the association of SNPs near CADM2 (odds ratio [OR] = 0.81; p value = 9.66 × 10(-7)) and GRIK2 (odds ratio = 1.24; p value = 5.09 × 10(-8)) with longevity. When attempting to replicate findings earlier identified in genome-wide association studies, only the APOE locus consistently replicated. In an additional look-up of the candidate gene FOXO3, we found that an earlier identified variant shows a highly significant association with longevity when including published data with our meta-analysis (odds ratio = 1.17; p value = 1.85×10(-10)).

CONCLUSIONS: We did not identify new genome-wide significant associations with longevity and did not replicate earlier findings except for APOE and FOXO3. Our inability to find new associations with survival to ages ≥90 years because longevity represents multiple complex traits with heterogeneous genetic underpinnings, or alternatively, that longevity may be regulated by rare variants that are not captured by standard genome-wide genotyping and imputation of common variants.

%B J Gerontol A Biol Sci Med Sci %V 70 %P 110-8 %8 2015 Jan %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/25199915?dopt=Abstract %R 10.1093/gerona/glu166 %0 Journal Article %J Nat Commun %D 2015 %T Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. %A Wessel, Jennifer %A Chu, Audrey Y %A Willems, Sara M %A Wang, Shuai %A Yaghootkar, Hanieh %A Brody, Jennifer A %A Dauriz, Marco %A Hivert, Marie-France %A Raghavan, Sridharan %A Lipovich, Leonard %A Hidalgo, Bertha %A Fox, Keolu %A Huffman, Jennifer E %A An, Ping %A Lu, Yingchang %A Rasmussen-Torvik, Laura J %A Grarup, Niels %A Ehm, Margaret G %A Li, Li %A Baldridge, Abigail S %A Stančáková, Alena %A Abrol, Ravinder %A Besse, Céline %A Boland, Anne %A Bork-Jensen, Jette %A Fornage, Myriam %A Freitag, Daniel F %A Garcia, Melissa E %A Guo, Xiuqing %A Hara, Kazuo %A Isaacs, Aaron %A Jakobsdottir, Johanna %A Lange, Leslie A %A Layton, Jill C %A Li, Man %A Hua Zhao, Jing %A Meidtner, Karina %A Morrison, Alanna C %A Nalls, Mike A %A Peters, Marjolein J %A Sabater-Lleal, Maria %A Schurmann, Claudia %A Silveira, Angela %A Smith, Albert V %A Southam, Lorraine %A Stoiber, Marcus H %A Strawbridge, Rona J %A Taylor, Kent D %A Varga, Tibor V %A Allin, Kristine H %A Amin, Najaf %A Aponte, Jennifer L %A Aung, Tin %A Barbieri, Caterina %A Bihlmeyer, Nathan A %A Boehnke, Michael %A Bombieri, Cristina %A Bowden, Donald W %A Burns, Sean M %A Chen, Yuning %A Chen, Yii-DerI %A Cheng, Ching-Yu %A Correa, Adolfo %A Czajkowski, Jacek %A Dehghan, Abbas %A Ehret, Georg B %A Eiriksdottir, Gudny %A Escher, Stefan A %A Farmaki, Aliki-Eleni %A Frånberg, Mattias %A Gambaro, Giovanni %A Giulianini, Franco %A Goddard, William A %A Goel, Anuj %A Gottesman, Omri %A Grove, Megan L %A Gustafsson, Stefan %A Hai, Yang %A Hallmans, Göran %A Heo, Jiyoung %A Hoffmann, Per %A Ikram, Mohammad K %A Jensen, Richard A %A Jørgensen, Marit E %A Jørgensen, Torben %A Karaleftheri, Maria %A Khor, Chiea C %A Kirkpatrick, Andrea %A Kraja, Aldi T %A Kuusisto, Johanna %A Lange, Ethan M %A Lee, I T %A Lee, Wen-Jane %A Leong, Aaron %A Liao, Jiemin %A Liu, Chunyu %A Liu, Yongmei %A Lindgren, Cecilia M %A Linneberg, Allan %A Malerba, Giovanni %A Mamakou, Vasiliki %A Marouli, Eirini %A Maruthur, Nisa M %A Matchan, Angela %A McKean-Cowdin, Roberta %A McLeod, Olga %A Metcalf, Ginger A %A Mohlke, Karen L %A Muzny, Donna M %A Ntalla, Ioanna %A Palmer, Nicholette D %A Pasko, Dorota %A Peter, Andreas %A Rayner, Nigel W %A Renstrom, Frida %A Rice, Ken %A Sala, Cinzia F %A Sennblad, Bengt %A Serafetinidis, Ioannis %A Smith, Jennifer A %A Soranzo, Nicole %A Speliotes, Elizabeth K %A Stahl, Eli A %A Stirrups, Kathleen %A Tentolouris, Nikos %A Thanopoulou, Anastasia %A Torres, Mina %A Traglia, Michela %A Tsafantakis, Emmanouil %A Javad, Sundas %A Yanek, Lisa R %A Zengini, Eleni %A Becker, Diane M %A Bis, Joshua C %A Brown, James B %A Cupples, L Adrienne %A Hansen, Torben %A Ingelsson, Erik %A Karter, Andrew J %A Lorenzo, Carlos %A Mathias, Rasika A %A Norris, Jill M %A Peloso, Gina M %A Sheu, Wayne H-H %A Toniolo, Daniela %A Vaidya, Dhananjay %A Varma, Rohit %A Wagenknecht, Lynne E %A Boeing, Heiner %A Bottinger, Erwin P %A Dedoussis, George %A Deloukas, Panos %A Ferrannini, Ele %A Franco, Oscar H %A Franks, Paul W %A Gibbs, Richard A %A Gudnason, Vilmundur %A Hamsten, Anders %A Harris, Tamara B %A Hattersley, Andrew T %A Hayward, Caroline %A Hofman, Albert %A Jansson, Jan-Håkan %A Langenberg, Claudia %A Launer, Lenore J %A Levy, Daniel %A Oostra, Ben A %A O'Donnell, Christopher J %A O'Rahilly, Stephen %A Padmanabhan, Sandosh %A Pankow, James S %A Polasek, Ozren %A Province, Michael A %A Rich, Stephen S %A Ridker, Paul M %A Rudan, Igor %A Schulze, Matthias B %A Smith, Blair H %A Uitterlinden, André G %A Walker, Mark %A Watkins, Hugh %A Wong, Tien Y %A Zeggini, Eleftheria %A Laakso, Markku %A Borecki, Ingrid B %A Chasman, Daniel I %A Pedersen, Oluf %A Psaty, Bruce M %A Tai, E Shyong %A van Duijn, Cornelia M %A Wareham, Nicholas J %A Waterworth, Dawn M %A Boerwinkle, Eric %A Kao, W H Linda %A Florez, Jose C %A Loos, Ruth J F %A Wilson, James G %A Frayling, Timothy M %A Siscovick, David S %A Dupuis, Josée %A Rotter, Jerome I %A Meigs, James B %A Scott, Robert A %A Goodarzi, Mark O %K African Continental Ancestry Group %K Blood Glucose %K Diabetes Mellitus, Type 2 %K European Continental Ancestry Group %K Exome %K Fasting %K Genetic Association Studies %K Genetic Loci %K Genetic Predisposition to Disease %K Genetic Variation %K Glucagon-Like Peptide-1 Receptor %K Glucose-6-Phosphatase %K Humans %K Insulin %K Mutation Rate %K Oligonucleotide Array Sequence Analysis %K Polymorphism, Single Nucleotide %X

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.

%B Nat Commun %V 6 %P 5897 %8 2015 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/25631608?dopt=Abstract %R 10.1038/ncomms6897 %0 Journal Article %J Circ Cardiovasc Genet %D 2015 %T Multiethnic genome-wide association study of cerebral white matter hyperintensities on MRI. %A Verhaaren, Benjamin F J %A Debette, Stephanie %A Bis, Joshua C %A Smith, Jennifer A %A Ikram, M Kamran %A Adams, Hieab H %A Beecham, Ashley H %A Rajan, Kumar B %A Lopez, Lorna M %A Barral, Sandra %A van Buchem, Mark A %A van der Grond, Jeroen %A Smith, Albert V %A Hegenscheid, Katrin %A Aggarwal, Neelum T %A de Andrade, Mariza %A Atkinson, Elizabeth J %A Beekman, Marian %A Beiser, Alexa S %A Blanton, Susan H %A Boerwinkle, Eric %A Brickman, Adam M %A Bryan, R Nick %A Chauhan, Ganesh %A Chen, Christopher P L H %A Chouraki, Vincent %A de Craen, Anton J M %A Crivello, Fabrice %A Deary, Ian J %A Deelen, Joris %A De Jager, Philip L %A Dufouil, Carole %A Elkind, Mitchell S V %A Evans, Denis A %A Freudenberger, Paul %A Gottesman, Rebecca F %A Guðnason, Vilmundur %A Habes, Mohamad %A Heckbert, Susan R %A Heiss, Gerardo %A Hilal, Saima %A Hofer, Edith %A Hofman, Albert %A Ibrahim-Verbaas, Carla A %A Knopman, David S %A Lewis, Cora E %A Liao, Jiemin %A Liewald, David C M %A Luciano, Michelle %A van der Lugt, Aad %A Martinez, Oliver O %A Mayeux, Richard %A Mazoyer, Bernard %A Nalls, Mike %A Nauck, Matthias %A Niessen, Wiro J %A Oostra, Ben A %A Psaty, Bruce M %A Rice, Kenneth M %A Rotter, Jerome I %A von Sarnowski, Bettina %A Schmidt, Helena %A Schreiner, Pamela J %A Schuur, Maaike %A Sidney, Stephen S %A Sigurdsson, Sigurdur %A Slagboom, P Eline %A Stott, David J M %A van Swieten, John C %A Teumer, Alexander %A Töglhofer, Anna Maria %A Traylor, Matthew %A Trompet, Stella %A Turner, Stephen T %A Tzourio, Christophe %A Uh, Hae-Won %A Uitterlinden, André G %A Vernooij, Meike W %A Wang, Jing J %A Wong, Tien Y %A Wardlaw, Joanna M %A Windham, B Gwen %A Wittfeld, Katharina %A Wolf, Christiane %A Wright, Clinton B %A Yang, Qiong %A Zhao, Wei %A Zijdenbos, Alex %A Jukema, J Wouter %A Sacco, Ralph L %A Kardia, Sharon L R %A Amouyel, Philippe %A Mosley, Thomas H %A Longstreth, W T %A DeCarli, Charles C %A van Duijn, Cornelia M %A Schmidt, Reinhold %A Launer, Lenore J %A Grabe, Hans J %A Seshadri, Sudha S %A Ikram, M Arfan %A Fornage, Myriam %K Aged %K Aged, 80 and over %K Chromosomes, Human %K Continental Population Groups %K Female %K Genetic Loci %K Genome-Wide Association Study %K Humans %K Male %K Meta-Analysis as Topic %K Middle Aged %K Models, Genetic %K Stroke %K White Matter %X

BACKGROUND: The burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies.

METHODS AND RESULTS: We included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7×10(-19)) and identified novel loci on chr10q24 (P=1.6×10(-9)) and chr2p21 (P=4.4×10(-8)). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0×10(-8)) and chr2p16 (P=1.5×10(-8)). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16).

CONCLUSIONS: We identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.

%B Circ Cardiovasc Genet %V 8 %P 398-409 %8 2015 Apr %G eng %N 2 %1 http://www.ncbi.nlm.nih.gov/pubmed/25663218?dopt=Abstract %R 10.1161/CIRCGENETICS.114.000858 %0 Journal Article %J J Am Coll Cardiol %D 2016 %T 52 Genetic Loci Influencing Myocardial Mass. %A van der Harst, Pim %A van Setten, Jessica %A Verweij, Niek %A Vogler, Georg %A Franke, Lude %A Maurano, Matthew T %A Wang, Xinchen %A Mateo Leach, Irene %A Eijgelsheim, Mark %A Sotoodehnia, Nona %A Hayward, Caroline %A Sorice, Rossella %A Meirelles, Osorio %A Lyytikäinen, Leo-Pekka %A Polasek, Ozren %A Tanaka, Toshiko %A Arking, Dan E %A Ulivi, Sheila %A Trompet, Stella %A Müller-Nurasyid, Martina %A Smith, Albert V %A Dörr, Marcus %A Kerr, Kathleen F %A Magnani, Jared W %A del Greco M, Fabiola %A Zhang, Weihua %A Nolte, Ilja M %A Silva, Claudia T %A Padmanabhan, Sandosh %A Tragante, Vinicius %A Esko, Tõnu %A Abecasis, Goncalo R %A Adriaens, Michiel E %A Andersen, Karl %A Barnett, Phil %A Bis, Joshua C %A Bodmer, Rolf %A Buckley, Brendan M %A Campbell, Harry %A Cannon, Megan V %A Chakravarti, Aravinda %A Chen, Lin Y %A Delitala, Alessandro %A Devereux, Richard B %A Doevendans, Pieter A %A Dominiczak, Anna F %A Ferrucci, Luigi %A Ford, Ian %A Gieger, Christian %A Harris, Tamara B %A Haugen, Eric %A Heinig, Matthias %A Hernandez, Dena G %A Hillege, Hans L %A Hirschhorn, Joel N %A Hofman, Albert %A Hubner, Norbert %A Hwang, Shih-Jen %A Iorio, Annamaria %A Kähönen, Mika %A Kellis, Manolis %A Kolcic, Ivana %A Kooner, Ishminder K %A Kooner, Jaspal S %A Kors, Jan A %A Lakatta, Edward G %A Lage, Kasper %A Launer, Lenore J %A Levy, Daniel %A Lundby, Alicia %A Macfarlane, Peter W %A May, Dalit %A Meitinger, Thomas %A Metspalu, Andres %A Nappo, Stefania %A Naitza, Silvia %A Neph, Shane %A Nord, Alex S %A Nutile, Teresa %A Okin, Peter M %A Olsen, Jesper V %A Oostra, Ben A %A Penninger, Josef M %A Pennacchio, Len A %A Pers, Tune H %A Perz, Siegfried %A Peters, Annette %A Pinto, Yigal M %A Pfeufer, Arne %A Pilia, Maria Grazia %A Pramstaller, Peter P %A Prins, Bram P %A Raitakari, Olli T %A Raychaudhuri, Soumya %A Rice, Ken M %A Rossin, Elizabeth J %A Rotter, Jerome I %A Schafer, Sebastian %A Schlessinger, David %A Schmidt, Carsten O %A Sehmi, Jobanpreet %A Silljé, Herman H W %A Sinagra, Gianfranco %A Sinner, Moritz F %A Slowikowski, Kamil %A Soliman, Elsayed Z %A Spector, Timothy D %A Spiering, Wilko %A Stamatoyannopoulos, John A %A Stolk, Ronald P %A Strauch, Konstantin %A Tan, Sian-Tsung %A Tarasov, Kirill V %A Trinh, Bosco %A Uitterlinden, André G %A van den Boogaard, Malou %A van Duijn, Cornelia M %A van Gilst, Wiek H %A Viikari, Jorma S %A Visscher, Peter M %A Vitart, Veronique %A Völker, Uwe %A Waldenberger, Melanie %A Weichenberger, Christian X %A Westra, Harm-Jan %A Wijmenga, Cisca %A Wolffenbuttel, Bruce H %A Yang, Jian %A Bezzina, Connie R %A Munroe, Patricia B %A Snieder, Harold %A Wright, Alan F %A Rudan, Igor %A Boyer, Laurie A %A Asselbergs, Folkert W %A van Veldhuisen, Dirk J %A Stricker, Bruno H %A Psaty, Bruce M %A Ciullo, Marina %A Sanna, Serena %A Lehtimäki, Terho %A Wilson, James F %A Bandinelli, Stefania %A Alonso, Alvaro %A Gasparini, Paolo %A Jukema, J Wouter %A Kääb, Stefan %A Gudnason, Vilmundur %A Felix, Stephan B %A Heckbert, Susan R %A de Boer, Rudolf A %A Newton-Cheh, Christopher %A Hicks, Andrew A %A Chambers, John C %A Jamshidi, Yalda %A Visel, Axel %A Christoffels, Vincent M %A Isaacs, Aaron %A Samani, Nilesh J %A de Bakker, Paul I W %X

BACKGROUND: Myocardial mass is a key determinant of cardiac muscle function and hypertrophy. Myocardial depolarization leading to cardiac muscle contraction is reflected by the amplitude and duration of the QRS complex on the electrocardiogram (ECG). Abnormal QRS amplitude or duration reflect changes in myocardial mass and conduction, and are associated with increased risk of heart failure and death.

OBJECTIVES: This meta-analysis sought to gain insights into the genetic determinants of myocardial mass.

METHODS: We carried out a genome-wide association meta-analysis of 4 QRS traits in up to 73,518 individuals of European ancestry, followed by extensive biological and functional assessment.

RESULTS: We identified 52 genomic loci, of which 32 are novel, that are reliably associated with 1 or more QRS phenotypes at p < 1 × 10(-8). These loci are enriched in regions of open chromatin, histone modifications, and transcription factor binding, suggesting that they represent regions of the genome that are actively transcribed in the human heart. Pathway analyses provided evidence that these loci play a role in cardiac hypertrophy. We further highlighted 67 candidate genes at the identified loci that are preferentially expressed in cardiac tissue and associated with cardiac abnormalities in Drosophila melanogaster and Mus musculus. We validated the regulatory function of a novel variant in the SCN5A/SCN10A locus in vitro and in vivo.

CONCLUSIONS: Taken together, our findings provide new insights into genes and biological pathways controlling myocardial mass and may help identify novel therapeutic targets.

%B J Am Coll Cardiol %V 68 %P 1435-48 %8 2016 Sep 27 %G eng %N 13 %R 10.1016/j.jacc.2016.07.729 %0 Journal Article %J Genet Epidemiol %D 2016 %T 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. %A Sung, Yun Ju %A Winkler, Thomas W %A Manning, Alisa K %A Aschard, Hugues %A Gudnason, Vilmundur %A Harris, Tamara B %A Smith, Albert V %A Boerwinkle, Eric %A Brown, Michael R %A Morrison, Alanna C %A Fornage, Myriam %A Lin, Li-An %A Richard, Melissa %A Bartz, Traci M %A Psaty, Bruce M %A Hayward, Caroline %A Polasek, Ozren %A Marten, Jonathan %A Rudan, Igor %A Feitosa, Mary F %A Kraja, Aldi T %A Province, Michael A %A Deng, Xuan %A Fisher, Virginia A %A Zhou, Yanhua %A Bielak, Lawrence F %A Smith, Jennifer %A Huffman, Jennifer E %A Padmanabhan, Sandosh %A Smith, Blair H %A Ding, Jingzhong %A Liu, Yongmei %A Lohman, Kurt %A Bouchard, Claude %A Rankinen, Tuomo %A Rice, Treva K %A Arnett, Donna %A Schwander, Karen %A Guo, Xiuqing %A Palmas, Walter %A Rotter, Jerome I %A Alfred, Tamuno %A Bottinger, Erwin P %A Loos, Ruth J F %A Amin, Najaf %A Franco, Oscar H %A van Duijn, Cornelia M %A Vojinovic, Dina %A Chasman, Daniel I %A Ridker, Paul M %A Rose, Lynda M %A Kardia, Sharon %A Zhu, Xiaofeng %A Rice, Kenneth %A Borecki, Ingrid B %A Rao, Dabeeru C %A Gauderman, W James %A Cupples, L Adrienne %X

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.

%B Genet Epidemiol %V 40 %P 404-15 %8 2016 Jul %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/27230302?dopt=Abstract %R 10.1002/gepi.21978 %0 Journal Article %J Aging Cell %D 2016 %T GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. %A Matteini, Amy M %A Tanaka, Toshiko %A Karasik, David %A Atzmon, Gil %A Chou, Wen-Chi %A Eicher, John D %A Johnson, Andrew D %A Arnold, Alice M %A Callisaya, Michele L %A Davies, Gail %A Evans, Daniel S %A Holtfreter, Birte %A Lohman, Kurt %A Lunetta, Kathryn L %A Mangino, Massimo %A Smith, Albert V %A Smith, Jennifer A %A Teumer, Alexander %A Yu, Lei %A Arking, Dan E %A Buchman, Aron S %A Chibinik, Lori B %A De Jager, Philip L %A Evans, Denis A %A Faul, Jessica D %A Garcia, Melissa E %A Gillham-Nasenya, Irina %A Gudnason, Vilmundur %A Hofman, Albert %A Hsu, Yi-Hsiang %A Ittermann, Till %A Lahousse, Lies %A Liewald, David C %A Liu, Yongmei %A Lopez, Lorna %A Rivadeneira, Fernando %A Rotter, Jerome I %A Siggeirsdottir, Kristin %A Starr, John M %A Thomson, Russell %A Tranah, Gregory J %A Uitterlinden, André G %A Völker, Uwe %A Völzke, Henry %A Weir, David R %A Yaffe, Kristine %A Zhao, Wei %A Zhuang, Wei Vivian %A Zmuda, Joseph M %A Bennett, David A %A Cummings, Steven R %A Deary, Ian J %A Ferrucci, Luigi %A Harris, Tamara B %A Kardia, Sharon L R %A Kocher, Thomas %A Kritchevsky, Stephen B %A Psaty, Bruce M %A Seshadri, Sudha %A Spector, Timothy D %A Srikanth, Velandai K %A Windham, B Gwen %A Zillikens, M Carola %A Newman, Anne B %A Walston, Jeremy D %A Kiel, Douglas P %A Murabito, Joanne M %X

Decline in muscle strength with aging is an important predictor of health trajectory in the elderly. Several factors, including genetics, are proposed contributors to variability in muscle strength. To identify genetic contributors to muscle strength, a meta-analysis of genomewide association studies of handgrip was conducted. Grip strength was measured using a handheld dynamometer in 27 581 individuals of European descent over 65 years of age from 14 cohort studies. Genomewide association analysis was conducted on ~2.7 million imputed and genotyped variants (SNPs). Replication of the most significant findings was conducted using data from 6393 individuals from three cohorts. GWAS of lower body strength was also characterized in a subset of cohorts. Two genomewide significant (P-value< 5 × 10(-8) ) and 39 suggestive (P-value< 5 × 10(-5) ) associations were observed from meta-analysis of the discovery cohorts. After meta-analysis with replication cohorts, genomewide significant association was observed for rs752045 on chromosome 8 (β = 0.47, SE = 0.08, P-value = 5.20 × 10(-10) ). This SNP is mapped to an intergenic region and is located within an accessible chromatin region (DNase hypersensitivity site) in skeletal muscle myotubes differentiated from the human skeletal muscle myoblasts cell line. This locus alters a binding motif of the CCAAT/enhancer-binding protein-β (CEBPB) that is implicated in muscle repair mechanisms. GWAS of lower body strength did not yield significant results. A common genetic variant in a chromosomal region that regulates myotube differentiation and muscle repair may contribute to variability in grip strength in the elderly. Further studies are needed to uncover the mechanisms that link this genetic variant with muscle strength.

%B Aging Cell %V 15 %P 792-800 %8 2016 Oct %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/27325353?dopt=Abstract %R 10.1111/acel.12468 %0 Journal Article %J Nat Genet %D 2016 %T Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. %A Liu, Chunyu %A Kraja, Aldi T %A Smith, Jennifer A %A Brody, Jennifer A %A Franceschini, Nora %A Bis, Joshua C %A Rice, Kenneth %A Morrison, Alanna C %A Lu, Yingchang %A Weiss, Stefan %A Guo, Xiuqing %A Palmas, Walter %A Martin, Lisa W %A Chen, Yii-Der Ida %A Surendran, Praveen %A Drenos, Fotios %A Cook, James P %A Auer, Paul L %A Chu, Audrey Y %A Giri, Ayush %A Zhao, Wei %A Jakobsdottir, Johanna %A Lin, Li-An %A Stafford, Jeanette M %A Amin, Najaf %A Mei, Hao %A Yao, Jie %A Voorman, Arend %A Larson, Martin G %A Grove, Megan L %A Smith, Albert V %A Hwang, Shih-Jen %A Chen, Han %A Huan, Tianxiao %A Kosova, Gulum %A Stitziel, Nathan O %A Kathiresan, Sekar %A Samani, Nilesh %A Schunkert, Heribert %A Deloukas, Panos %A Li, Man %A Fuchsberger, Christian %A Pattaro, Cristian %A Gorski, Mathias %A Kooperberg, Charles %A Papanicolaou, George J %A Rossouw, Jacques E %A Faul, Jessica D %A Kardia, Sharon L R %A Bouchard, Claude %A Raffel, Leslie J %A Uitterlinden, André G %A Franco, Oscar H %A Vasan, Ramachandran S %A O'Donnell, Christopher J %A Taylor, Kent D %A Liu, Kiang %A Bottinger, Erwin P %A Gottesman, Omri %A Daw, E Warwick %A Giulianini, Franco %A Ganesh, Santhi %A Salfati, Elias %A Harris, Tamara B %A Launer, Lenore J %A Dörr, Marcus %A Felix, Stephan B %A Rettig, Rainer %A Völzke, Henry %A Kim, Eric %A Lee, Wen-Jane %A Lee, I-Te %A Sheu, Wayne H-H %A Tsosie, Krystal S %A Edwards, Digna R Velez %A Liu, Yongmei %A Correa, Adolfo %A Weir, David R %A Völker, Uwe %A Ridker, Paul M %A Boerwinkle, Eric %A Gudnason, Vilmundur %A Reiner, Alexander P %A van Duijn, Cornelia M %A Borecki, Ingrid B %A Edwards, Todd L %A Chakravarti, Aravinda %A Rotter, Jerome I %A Psaty, Bruce M %A Loos, Ruth J F %A Fornage, Myriam %A Ehret, Georg B %A Newton-Cheh, Christopher %A Levy, Daniel %A Chasman, Daniel I %X

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.

%B Nat Genet %V 48 %P 1162-70 %8 2016 Oct %G eng %N 10 %R 10.1038/ng.3660 %0 Journal Article %J J Med Genet %D 2016 %T Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels. %A van Leeuwen, Elisabeth M %A Sabo, Aniko %A Bis, Joshua C %A Huffman, Jennifer E %A Manichaikul, Ani %A Smith, Albert V %A Feitosa, Mary F %A Demissie, Serkalem %A Joshi, Peter K %A Duan, Qing %A Marten, Jonathan %A van Klinken, Jan B %A Surakka, Ida %A Nolte, Ilja M %A Zhang, Weihua %A Mbarek, Hamdi %A Li-Gao, Ruifang %A Trompet, Stella %A Verweij, Niek %A Evangelou, Evangelos %A Lyytikäinen, Leo-Pekka %A Tayo, Bamidele O %A Deelen, Joris %A van der Most, Peter J %A van der Laan, Sander W %A Arking, Dan E %A Morrison, Alanna %A Dehghan, Abbas %A Franco, Oscar H %A Hofman, Albert %A Rivadeneira, Fernando %A Sijbrands, Eric J %A Uitterlinden, André G %A Mychaleckyj, Josyf C %A Campbell, Archie %A Hocking, Lynne J %A Padmanabhan, Sandosh %A Brody, Jennifer A %A Rice, Kenneth M %A White, Charles C %A Harris, Tamara %A Isaacs, Aaron %A Campbell, Harry %A Lange, Leslie A %A Rudan, Igor %A Kolcic, Ivana %A Navarro, Pau %A Zemunik, Tatijana %A Salomaa, Veikko %A Kooner, Angad S %A Kooner, Jaspal S %A Lehne, Benjamin %A Scott, William R %A Tan, Sian-Tsung %A de Geus, Eco J %A Milaneschi, Yuri %A Penninx, Brenda W J H %A Willemsen, Gonneke %A de Mutsert, Renée %A Ford, Ian %A Gansevoort, Ron T %A Segura-Lepe, Marcelo P %A Raitakari, Olli T %A Viikari, Jorma S %A Nikus, Kjell %A Forrester, Terrence %A McKenzie, Colin A %A de Craen, Anton J M %A de Ruijter, Hester M %A Pasterkamp, Gerard %A Snieder, Harold %A Oldehinkel, Albertine J %A Slagboom, P Eline %A Cooper, Richard S %A Kähönen, Mika %A Lehtimäki, Terho %A Elliott, Paul %A van der Harst, Pim %A Jukema, J Wouter %A Mook-Kanamori, Dennis O %A Boomsma, Dorret I %A Chambers, John C %A Swertz, Morris %A Ripatti, Samuli %A Willems van Dijk, Ko %A Vitart, Veronique %A Polasek, Ozren %A Hayward, Caroline %A Wilson, James G %A Wilson, James F %A Gudnason, Vilmundur %A Rich, Stephen S %A Psaty, Bruce M %A Borecki, Ingrid B %A Boerwinkle, Eric %A Rotter, Jerome I %A Cupples, L Adrienne %A van Duijn, Cornelia M %X

BACKGROUND: So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels.

METHODS: We used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from ∼60 000 individuals in the discovery stage and ∼90 000 samples in the replication stage.

RESULTS: Our study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene.

CONCLUSIONS: This study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels.

%B J Med Genet %V 53 %P 441-9 %8 2016 Jul %G eng %N 7 %1 http://www.ncbi.nlm.nih.gov/pubmed/27036123?dopt=Abstract %R 10.1136/jmedgenet-2015-103439 %0 Journal Article %J J Med Genet %D 2016 %T Meta-analysis of genome-wide association studies of HDL cholesterol response to statins. %A Postmus, Iris %A Warren, Helen R %A Trompet, Stella %A Arsenault, Benoit J %A Avery, Christy L %A Bis, Joshua C %A Chasman, Daniel I %A de Keyser, Catherine E %A Deshmukh, Harshal A %A Evans, Daniel S %A Feng, QiPing %A Li, Xiaohui %A Smit, Roelof A J %A Smith, Albert V %A Sun, Fangui %A Taylor, Kent D %A Arnold, Alice M %A Barnes, Michael R %A Barratt, Bryan J %A Betteridge, John %A Boekholdt, S Matthijs %A Boerwinkle, Eric %A Buckley, Brendan M %A Chen, Y-D Ida %A de Craen, Anton J M %A Cummings, Steven R %A Denny, Joshua C %A Dubé, Marie Pierre %A Durrington, Paul N %A Eiriksdottir, Gudny %A Ford, Ian %A Guo, Xiuqing %A Harris, Tamara B %A Heckbert, Susan R %A Hofman, Albert %A Hovingh, G Kees %A Kastelein, John J P %A Launer, Leonore J %A Liu, Ching-Ti %A Liu, Yongmei %A Lumley, Thomas %A McKeigue, Paul M %A Munroe, Patricia B %A Neil, Andrew %A Nickerson, Deborah A %A Nyberg, Fredrik %A O'Brien, Eoin %A O'Donnell, Christopher J %A Post, Wendy %A Poulter, Neil %A Vasan, Ramachandran S %A Rice, Kenneth %A Rich, Stephen S %A Rivadeneira, Fernando %A Sattar, Naveed %A Sever, Peter %A Shaw-Hawkins, Sue %A Shields, Denis C %A Slagboom, P Eline %A Smith, Nicholas L %A Smith, Joshua D %A Sotoodehnia, Nona %A Stanton, Alice %A Stott, David J %A Stricker, Bruno H %A Stürmer, Til %A Uitterlinden, André G %A Wei, Wei-Qi %A Westendorp, Rudi G J %A Whitsel, Eric A %A Wiggins, Kerri L %A Wilke, Russell A %A Ballantyne, Christie M %A Colhoun, Helen M %A Cupples, L Adrienne %A Franco, Oscar H %A Gudnason, Vilmundur %A Hitman, Graham %A Palmer, Colin N A %A Psaty, Bruce M %A Ridker, Paul M %A Stafford, Jeanette M %A Stein, Charles M %A Tardif, Jean-Claude %A Caulfield, Mark J %A Jukema, J Wouter %A Rotter, Jerome I %A Krauss, Ronald M %X

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.

%B J Med Genet %V 53 %P 835-845 %8 2016 Dec %G eng %N 12 %R 10.1136/jmedgenet-2016-103966 %0 Journal Article %J Circ Cardiovasc Genet %D 2016 %T Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis. %A Natarajan, Pradeep %A Bis, Joshua C %A Bielak, Lawrence F %A Cox, Amanda J %A Dörr, Marcus %A Feitosa, Mary F %A Franceschini, Nora %A Guo, Xiuqing %A Hwang, Shih-Jen %A Isaacs, Aaron %A Jhun, Min A %A Kavousi, Maryam %A Li-Gao, Ruifang %A Lyytikäinen, Leo-Pekka %A Marioni, Riccardo E %A Schminke, Ulf %A Stitziel, Nathan O %A Tada, Hayato %A van Setten, Jessica %A Smith, Albert V %A Vojinovic, Dina %A Yanek, Lisa R %A Yao, Jie %A Yerges-Armstrong, Laura M %A Amin, Najaf %A Baber, Usman %A Borecki, Ingrid B %A Carr, J Jeffrey %A Chen, Yii-Der Ida %A Cupples, L Adrienne %A de Jong, Pim A %A de Koning, Harry %A de Vos, Bob D %A Demirkan, Ayse %A Fuster, Valentin %A Franco, Oscar H %A Goodarzi, Mark O %A Harris, Tamara B %A Heckbert, Susan R %A Heiss, Gerardo %A Hoffmann, Udo %A Hofman, Albert %A Išgum, Ivana %A Jukema, J Wouter %A Kähönen, Mika %A Kardia, Sharon L R %A Kral, Brian G %A Launer, Lenore J %A Massaro, Joseph %A Mehran, Roxana %A Mitchell, Braxton D %A Mosley, Thomas H %A de Mutsert, Renée %A Newman, Anne B %A Nguyen, Khanh-Dung %A North, Kari E %A O'Connell, Jeffrey R %A Oudkerk, Matthijs %A Pankow, James S %A Peloso, Gina M %A Post, Wendy %A Province, Michael A %A Raffield, Laura M %A Raitakari, Olli T %A Reilly, Dermot F %A Rivadeneira, Fernando %A Rosendaal, Frits %A Sartori, Samantha %A Taylor, Kent D %A Teumer, Alexander %A Trompet, Stella %A Turner, Stephen T %A Uitterlinden, André G %A Vaidya, Dhananjay %A van der Lugt, Aad %A Völker, Uwe %A Wardlaw, Joanna M %A Wassel, Christina L %A Weiss, Stefan %A Wojczynski, Mary K %A Becker, Diane M %A Becker, Lewis C %A Boerwinkle, Eric %A Bowden, Donald W %A Deary, Ian J %A Dehghan, Abbas %A Felix, Stephan B %A Gudnason, Vilmundur %A Lehtimäki, Terho %A Mathias, Rasika %A Mook-Kanamori, Dennis O %A Psaty, Bruce M %A Rader, Daniel J %A Rotter, Jerome I %A Wilson, James G %A van Duijn, Cornelia M %A Völzke, Henry %A Kathiresan, Sekar %A Peyser, Patricia A %A O'Donnell, Christopher J %X

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.

%B Circ Cardiovasc Genet %8 2016 Nov 21 %G eng %R 10.1161/CIRCGENETICS.116.001572 %0 Journal Article %J PLoS Genet %D 2016 %T Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer's Disease. %A Jakobsdottir, Johanna %A van der Lee, Sven J %A Bis, Joshua C %A Chouraki, Vincent %A Li-Kroeger, David %A Yamamoto, Shinya %A Grove, Megan L %A Naj, Adam %A Vronskaya, Maria %A Salazar, Jose L %A DeStefano, Anita L %A Brody, Jennifer A %A Smith, Albert V %A Amin, Najaf %A Sims, Rebecca %A Ibrahim-Verbaas, Carla A %A Choi, Seung-Hoan %A Satizabal, Claudia L %A Lopez, Oscar L %A Beiser, Alexa %A Ikram, M Arfan %A Garcia, Melissa E %A Hayward, Caroline %A Varga, Tibor V %A Ripatti, Samuli %A Franks, Paul W %A Hallmans, Göran %A Rolandsson, Olov %A Jansson, Jan-Håkon %A Porteous, David J %A Salomaa, Veikko %A Eiriksdottir, Gudny %A Rice, Kenneth M %A Bellen, Hugo J %A Levy, Daniel %A Uitterlinden, André G %A Emilsson, Valur %A Rotter, Jerome I %A Aspelund, Thor %A O'Donnell, Christopher J %A Fitzpatrick, Annette L %A Launer, Lenore J %A Hofman, Albert %A Wang, Li-San %A Williams, Julie %A Schellenberg, Gerard D %A Boerwinkle, Eric %A Psaty, Bruce M %A Seshadri, Sudha %A Shulman, Joshua M %A Gudnason, Vilmundur %A van Duijn, Cornelia M %X

We performed an exome-wide association analysis in 1393 late-onset Alzheimer's disease (LOAD) cases and 8141 controls from the CHARGE consortium. We found that a rare variant (P155L) in TM2D3 was enriched in Icelanders (~0.5% versus <0.05% in other European populations). In 433 LOAD cases and 3903 controls from the Icelandic AGES sub-study, P155L was associated with increased risk and earlier onset of LOAD [odds ratio (95% CI) = 7.5 (3.5-15.9), p = 6.6x10-9]. Mutation in the Drosophila TM2D3 homolog, almondex, causes a phenotype similar to loss of Notch/Presenilin signaling. Human TM2D3 is capable of rescuing these phenotypes, but this activity is abolished by P155L, establishing it as a functionally damaging allele. Our results establish a rare TM2D3 variant in association with LOAD susceptibility, and together with prior work suggests possible links to the β-amyloid cascade.

%B PLoS Genet %V 12 %P e1006327 %8 2016 Oct %G eng %N 10 %R 10.1371/journal.pgen.1006327 %0 Journal Article %J J Am Soc Nephrol %D 2016 %T SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. %A Li, Man %A Li, Yong %A Weeks, Olivia %A Mijatovic, Vladan %A Teumer, Alexander %A Huffman, Jennifer E %A Tromp, Gerard %A Fuchsberger, Christian %A Gorski, Mathias %A Lyytikäinen, Leo-Pekka %A Nutile, Teresa %A Sedaghat, Sanaz %A Sorice, Rossella %A Tin, Adrienne %A Yang, Qiong %A Ahluwalia, Tarunveer S %A Arking, Dan E %A Bihlmeyer, Nathan A %A Böger, Carsten A %A Carroll, Robert J %A Chasman, Daniel I %A Cornelis, Marilyn C %A Dehghan, Abbas %A Faul, Jessica D %A Feitosa, Mary F %A Gambaro, Giovanni %A Gasparini, Paolo %A Giulianini, Franco %A Heid, Iris %A Huang, Jinyan %A Imboden, Medea %A Jackson, Anne U %A Jeff, Janina %A Jhun, Min A %A Katz, Ronit %A Kifley, Annette %A Kilpeläinen, Tuomas O %A Kumar, Ashish %A Laakso, Markku %A Li-Gao, Ruifang %A Lohman, Kurt %A Lu, Yingchang %A Mägi, Reedik %A Malerba, Giovanni %A Mihailov, Evelin %A Mohlke, Karen L %A Mook-Kanamori, Dennis O %A Robino, Antonietta %A Ruderfer, Douglas %A Salvi, Erika %A Schick, Ursula M %A Schulz, Christina-Alexandra %A Smith, Albert V %A Smith, Jennifer A %A Traglia, Michela %A Yerges-Armstrong, Laura M %A Zhao, Wei %A Goodarzi, Mark O %A Kraja, Aldi T %A Liu, Chunyu %A Wessel, Jennifer %A Boerwinkle, Eric %A Borecki, Ingrid B %A Bork-Jensen, Jette %A Bottinger, Erwin P %A Braga, Daniele %A Brandslund, Ivan %A Brody, Jennifer A %A Campbell, Archie %A Carey, David J %A Christensen, Cramer %A Coresh, Josef %A Crook, Errol %A Curhan, Gary C %A Cusi, Daniele %A de Boer, Ian H %A de Vries, Aiko P J %A Denny, Joshua C %A Devuyst, Olivier %A Dreisbach, Albert W %A Endlich, Karlhans %A Esko, Tõnu %A Franco, Oscar H %A Fulop, Tibor %A Gerhard, Glenn S %A Glümer, Charlotte %A Gottesman, Omri %A Grarup, Niels %A Gudnason, Vilmundur %A Harris, Tamara B %A Hayward, Caroline %A Hocking, Lynne %A Hofman, Albert %A Hu, Frank B %A Husemoen, Lise Lotte N %A Jackson, Rebecca D %A Jørgensen, Torben %A Jørgensen, Marit E %A Kähönen, Mika %A Kardia, Sharon L R %A König, Wolfgang %A Kooperberg, Charles %A Kriebel, Jennifer %A Launer, Lenore J %A Lauritzen, Torsten %A Lehtimäki, Terho %A Levy, Daniel %A Linksted, Pamela %A Linneberg, Allan %A Liu, Yongmei %A Loos, Ruth J F %A Lupo, Antonio %A Meisinger, Christine %A Melander, Olle %A Metspalu, Andres %A Mitchell, Paul %A Nauck, Matthias %A Nürnberg, Peter %A Orho-Melander, Marju %A Parsa, Afshin %A Pedersen, Oluf %A Peters, Annette %A Peters, Ulrike %A Polasek, Ozren %A Porteous, David %A Probst-Hensch, Nicole M %A Psaty, Bruce M %A Qi, Lu %A Raitakari, Olli T %A Reiner, Alex P %A Rettig, Rainer %A Ridker, Paul M %A Rivadeneira, Fernando %A Rossouw, Jacques E %A Schmidt, Frank %A Siscovick, David %A Soranzo, Nicole %A Strauch, Konstantin %A Toniolo, Daniela %A Turner, Stephen T %A Uitterlinden, André G %A Ulivi, Sheila %A Velayutham, Dinesh %A Völker, Uwe %A Völzke, Henry %A Waldenberger, Melanie %A Wang, Jie Jin %A Weir, David R %A Witte, Daniel %A Kuivaniemi, Helena %A Fox, Caroline S %A Franceschini, Nora %A Goessling, Wolfram %A Köttgen, Anna %A Chu, Audrey Y %X

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

%B J Am Soc Nephrol %8 2016 Dec 05 %G eng %R 10.1681/ASN.2016020131 %0 Journal Article %J Aging (Albany NY) %D 2017 %T The complex genetics of gait speed: genome-wide meta-analysis approach. %A Ben-Avraham, Dan %A Karasik, David %A Verghese, Joe %A Lunetta, Kathryn L %A Smith, Jennifer A %A Eicher, John D %A Vered, Rotem %A Deelen, Joris %A Arnold, Alice M %A Buchman, Aron S %A Tanaka, Toshiko %A Faul, Jessica D %A Nethander, Maria %A Fornage, Myriam %A Adams, Hieab H %A Matteini, Amy M %A Callisaya, Michele L %A Smith, Albert V %A Yu, Lei %A De Jager, Philip L %A Evans, Denis A %A Gudnason, Vilmundur %A Hofman, Albert %A Pattie, Alison %A Corley, Janie %A Launer, Lenore J %A Knopman, Davis S %A Parimi, Neeta %A Turner, Stephen T %A Bandinelli, Stefania %A Beekman, Marian %A Gutman, Danielle %A Sharvit, Lital %A Mooijaart, Simon P %A Liewald, David C %A Houwing-Duistermaat, Jeanine J %A Ohlsson, Claes %A Moed, Matthijs %A Verlinden, Vincent J %A Mellström, Dan %A van der Geest, Jos N %A Karlsson, Magnus %A Hernandez, Dena %A McWhirter, Rebekah %A Liu, Yongmei %A Thomson, Russell %A Tranah, Gregory J %A Uitterlinden, André G %A Weir, David R %A Zhao, Wei %A Starr, John M %A Johnson, Andrew D %A Ikram, M Arfan %A Bennett, David A %A Cummings, Steven R %A Deary, Ian J %A Harris, Tamara B %A Kardia, Sharon L R %A Mosley, Thomas H %A Srikanth, Velandai K %A Windham, Beverly G %A Newman, Ann B %A Walston, Jeremy D %A Davies, Gail %A Evans, Daniel S %A Slagboom, Eline P %A Ferrucci, Luigi %A Kiel, Douglas P %A Murabito, Joanne M %A Atzmon, Gil %X

Emerging evidence suggests that the basis for variation in late-life mobility is attributable, in part, to genetic factors, which may become increasingly important with age. Our objective was to systematically assess the contribution of genetic variation to gait speed in older individuals. We conducted a meta-analysis of gait speed GWASs in 31,478 older adults from 17 cohorts of the CHARGE consortium, and validated our results in 2,588 older adults from 4 independent studies. We followed our initial discoveries with network and eQTL analysis of candidate signals in tissues. The meta-analysis resulted in a list of 536 suggestive genome wide significant SNPs in or near 69 genes. Further interrogation with Pathway Analysis placed gait speed as a polygenic complex trait in five major networks. Subsequent eQTL analysis revealed several SNPs significantly associated with the expression of PRSS16, WDSUB1 and PTPRT, which in addition to the meta-analysis and pathway suggested that genetic effects on gait speed may occur through synaptic function and neuronal development pathways. No genome-wide significant signals for gait speed were identified from this moderately large sample of older adults, suggesting that more refined physical function phenotypes will be needed to identify the genetic basis of gait speed in aging.

%B Aging (Albany NY) %V 9 %P 209-246 %8 2017 Jan 10 %G eng %N 1 %R 10.18632/aging.101151 %0 Journal Article %J Hum Mol Genet %D 2017 %T Discovery of novel heart rate-associated loci using the Exome Chip. %A van den Berg, Marten E %A Warren, Helen R %A Cabrera, Claudia P %A Verweij, Niek %A Mifsud, Borbala %A Haessler, Jeffrey %A Bihlmeyer, Nathan A %A Fu, Yi-Ping %A Weiss, Stefan %A Lin, Henry J %A Grarup, Niels %A Li-Gao, Ruifang %A Pistis, Giorgio %A Shah, Nabi %A Brody, Jennifer A %A Müller-Nurasyid, Martina %A Lin, Honghuang %A Mei, Hao %A Smith, Albert V %A Lyytikäinen, Leo-Pekka %A Hall, Leanne M %A van Setten, Jessica %A Trompet, Stella %A Prins, Bram P %A Isaacs, Aaron %A Radmanesh, Farid %A Marten, Jonathan %A Entwistle, Aiman %A Kors, Jan A %A Silva, Claudia T %A Alonso, Alvaro %A Bis, Joshua C %A de Boer, Rudolf %A de Haan, Hugoline G %A de Mutsert, Renée %A Dedoussis, George %A Dominiczak, Anna F %A Doney, Alex S F %A Ellinor, Patrick T %A Eppinga, Ruben N %A Felix, Stephan B %A Guo, Xiuqing %A Hagemeijer, Yanick %A Hansen, Torben %A Harris, Tamara B %A Heckbert, Susan R %A Huang, Paul L %A Hwang, Shih-Jen %A Kähönen, Mika %A Kanters, Jørgen K %A Kolcic, Ivana %A Launer, Lenore J %A Li, Man %A Yao, Jie %A Linneberg, Allan %A Liu, Simin %A Macfarlane, Peter W %A Mangino, Massimo %A Morris, Andrew D %A Mulas, Antonella %A Murray, Alison D %A Nelson, Christopher P %A Orrù, Marco %A Padmanabhan, Sandosh %A Peters, Annette %A Porteous, David J %A Poulter, Neil %A Psaty, Bruce M %A Qi, Lihong %A Raitakari, Olli T %A Rivadeneira, Fernando %A Roselli, Carolina %A Rudan, Igor %A Sattar, Naveed %A Sever, Peter %A Sinner, Moritz F %A Soliman, Elsayed Z %A Spector, Timothy D %A Stanton, Alice V %A Stirrups, Kathleen E %A Taylor, Kent D %A Tobin, Martin D %A Uitterlinden, Andre %A Vaartjes, Ilonca %A Hoes, Arno W %A van der Meer, Peter %A Völker, Uwe %A Waldenberger, Melanie %A Xie, Zhijun %A Zoledziewska, Magdalena %A Tinker, Andrew %A Polasek, Ozren %A Rosand, Jonathan %A Jamshidi, Yalda %A van Duijn, Cornelia M %A Zeggini, Eleftheria %A Wouter Jukema, J %A Asselbergs, Folkert W %A Samani, Nilesh J %A Lehtimäki, Terho %A Gudnason, Vilmundur %A Wilson, James %A Lubitz, Steven A %A Kääb, Stefan %A Sotoodehnia, Nona %A Caulfield, Mark J %A Palmer, Colin N A %A Sanna, Serena %A Mook-Kanamori, Dennis O %A Deloukas, Panos %A Pedersen, Oluf %A Rotter, Jerome I %A Dörr, Marcus %A O'Donnell, Chris J %A Hayward, Caroline %A Arking, Dan E %A Kooperberg, Charles %A van der Harst, Pim %A Eijgelsheim, Mark %A Stricker, Bruno H %A Munroe, Patricia B %X

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.

%B Hum Mol Genet %8 2017 Apr 03 %G eng %R 10.1093/hmg/ddx113 %0 Journal Article %J Nat Genet %D 2017 %T Exome-wide association study of plasma lipids in >300,000 individuals. %A Liu, Dajiang J %A Peloso, Gina M %A Yu, Haojie %A Butterworth, Adam S %A Wang, Xiao %A Mahajan, Anubha %A Saleheen, Danish %A Emdin, Connor %A Alam, Dewan %A Alves, Alexessander Couto %A Amouyel, Philippe %A Di Angelantonio, Emanuele %A Arveiler, Dominique %A Assimes, Themistocles L %A Auer, Paul L %A Baber, Usman %A Ballantyne, Christie M %A Bang, Lia E %A Benn, Marianne %A Bis, Joshua C %A Boehnke, Michael %A Boerwinkle, Eric %A Bork-Jensen, Jette %A Bottinger, Erwin P %A Brandslund, Ivan %A Brown, Morris %A Busonero, Fabio %A Caulfield, Mark J %A Chambers, John C %A Chasman, Daniel I %A Chen, Y Eugene %A Chen, Yii-Der Ida %A Chowdhury, Rajiv %A Christensen, Cramer %A Chu, Audrey Y %A Connell, John M %A Cucca, Francesco %A Cupples, L Adrienne %A Damrauer, Scott M %A Davies, Gail %A Deary, Ian J %A Dedoussis, George %A Denny, Joshua C %A Dominiczak, Anna %A Dubé, Marie-Pierre %A Ebeling, Tapani %A Eiriksdottir, Gudny %A Esko, Tõnu %A Farmaki, Aliki-Eleni %A Feitosa, Mary F %A Ferrario, Marco %A Ferrieres, Jean %A Ford, Ian %A Fornage, Myriam %A Franks, Paul W %A Frayling, Timothy M %A Frikke-Schmidt, Ruth %A Fritsche, Lars G %A Frossard, Philippe %A Fuster, Valentin %A Ganesh, Santhi K %A Gao, Wei %A Garcia, Melissa E %A Gieger, Christian %A Giulianini, Franco %A Goodarzi, Mark O %A Grallert, Harald %A Grarup, Niels %A Groop, Leif %A Grove, Megan L %A Gudnason, Vilmundur %A Hansen, Torben %A Harris, Tamara B %A Hayward, Caroline %A Hirschhorn, Joel N %A Holmen, Oddgeir L %A Huffman, Jennifer %A Huo, Yong %A Hveem, Kristian %A Jabeen, Sehrish %A Jackson, Anne U %A Jakobsdottir, Johanna %A Jarvelin, Marjo-Riitta %A Jensen, Gorm B %A Jørgensen, Marit E %A Jukema, J Wouter %A Justesen, Johanne M %A Kamstrup, Pia R %A Kanoni, Stavroula %A Karpe, Fredrik %A Kee, Frank %A Khera, Amit V %A Klarin, Derek %A Koistinen, Heikki A %A Kooner, Jaspal S %A Kooperberg, Charles %A Kuulasmaa, Kari %A Kuusisto, Johanna %A Laakso, Markku %A Lakka, Timo %A Langenberg, Claudia %A Langsted, Anne %A Launer, Lenore J %A Lauritzen, Torsten %A Liewald, David C M %A Lin, Li An %A Linneberg, Allan %A Loos, Ruth J F %A Lu, Yingchang %A Lu, Xiangfeng %A Mägi, Reedik %A Mälarstig, Anders %A Manichaikul, Ani %A Manning, Alisa K %A Mäntyselkä, Pekka %A Marouli, Eirini %A Masca, Nicholas G D %A Maschio, Andrea %A Meigs, James B %A Melander, Olle %A Metspalu, Andres %A Morris, Andrew P %A Morrison, Alanna C %A Mulas, Antonella %A Müller-Nurasyid, Martina %A Munroe, Patricia B %A Neville, Matt J %A Nielsen, Jonas B %A Nielsen, Sune F %A Nordestgaard, Børge G %A Ordovas, Jose M %A Mehran, Roxana %A O'Donnell, Christoper J %A Orho-Melander, Marju %A Molony, Cliona M %A Muntendam, Pieter %A Padmanabhan, Sandosh %A Palmer, Colin N A %A Pasko, Dorota %A Patel, Aniruddh P %A Pedersen, Oluf %A Perola, Markus %A Peters, Annette %A Pisinger, Charlotta %A Pistis, Giorgio %A Polasek, Ozren %A Poulter, Neil %A Psaty, Bruce M %A Rader, Daniel J %A Rasheed, Asif %A Rauramaa, Rainer %A Reilly, Dermot F %A Reiner, Alex P %A Renstrom, Frida %A Rich, Stephen S %A Ridker, Paul M %A Rioux, John D %A Robertson, Neil R %A Roden, Dan M %A Rotter, Jerome I %A Rudan, Igor %A Salomaa, Veikko %A Samani, Nilesh J %A Sanna, Serena %A Sattar, Naveed %A Schmidt, Ellen M %A Scott, Robert A %A Sever, Peter %A Sevilla, Raquel S %A Shaffer, Christian M %A Sim, Xueling %A Sivapalaratnam, Suthesh %A Small, Kerrin S %A Smith, Albert V %A Smith, Blair H %A Somayajula, Sangeetha %A Southam, Lorraine %A Spector, Timothy D %A Speliotes, Elizabeth K %A Starr, John M %A Stirrups, Kathleen E %A Stitziel, Nathan %A Strauch, Konstantin %A Stringham, Heather M %A Surendran, Praveen %A Tada, Hayato %A Tall, Alan R %A Tang, Hua %A Tardif, Jean-Claude %A Taylor, Kent D %A Trompet, Stella %A Tsao, Philip S %A Tuomilehto, Jaakko %A Tybjaerg-Hansen, Anne %A van Zuydam, Natalie R %A Varbo, Anette %A Varga, Tibor V %A Virtamo, Jarmo %A Waldenberger, Melanie %A Wang, Nan %A Wareham, Nick J %A Warren, Helen R %A Weeke, Peter E %A Weinstock, Joshua %A Wessel, Jennifer %A Wilson, James G %A Wilson, Peter W F %A Xu, Ming %A Yaghootkar, Hanieh %A Young, Robin %A Zeggini, Eleftheria %A Zhang, He %A Zheng, Neil S %A Zhang, Weihua %A Zhang, Yan %A Zhou, Wei %A Zhou, Yanhua %A Zoledziewska, Magdalena %A Howson, Joanna M M %A Danesh, John %A McCarthy, Mark I %A Cowan, Chad A %A Abecasis, Goncalo %A Deloukas, Panos %A Musunuru, Kiran %A Willer, Cristen J %A Kathiresan, Sekar %K Coronary Artery Disease %K Diabetes Mellitus, Type 2 %K Exome %K Genetic Association Studies %K Genetic Predisposition to Disease %K Genetic Variation %K Genotype %K Humans %K Lipids %K Macular Degeneration %K Phenotype %K Risk Factors %X

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

%B Nat Genet %V 49 %P 1758-1766 %8 2017 Dec %G eng %N 12 %R 10.1038/ng.3977 %0 Journal Article %J Diabetes %D 2017 %T Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study. %A Sobrin, Lucia %A Chong, Yong He %A Fan, Qiao %A Gan, Alfred %A Stanwyck, Lynn K %A Kaidonis, Georgia %A Craig, Jamie E %A Kim, Jihye %A Liao, Wen-Ling %A Huang, Yu-Chuen %A Lee, Wen-Jane %A Hung, Yi-Jen %A Guo, Xiuqing %A Hai, Yang %A Ipp, Eli %A Pollack, Samuela %A Hancock, Heather %A Price, Alkes %A Penman, Alan %A Mitchell, Paul %A Liew, Gerald %A Smith, Albert V %A Gudnason, Vilmundur %A Tan, Gavin %A Klein, Barbara E K %A Kuo, Jane %A Li, Xiaohui %A Christiansen, Mark W %A Psaty, Bruce M %A Sandow, Kevin %A Jensen, Richard A %A Klein, Ronald %A Cotch, Mary Frances %A Wang, Jie Jin %A Jia, Yucheng %A Chen, Ching J %A Chen, Yii-Der Ida %A Rotter, Jerome I %A Tsai, Fuu-Jen %A Hanis, Craig L %A Burdon, Kathryn P %A Wong, Tien Yin %A Cheng, Ching-Yu %K Aged %K Diabetic Retinopathy %K Female %K Genome-Wide Association Study %K Humans %K Lipids %K Male %K Mendelian Randomization Analysis %K Middle Aged %K Polymorphism, Single Nucleotide %K Risk %X

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.

%B Diabetes %V 66 %P 3130-3141 %8 2017 12 %G eng %N 12 %R 10.2337/db17-0398 %0 Journal Article %J J Med Genet %D 2017 %T A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. %A Noordam, Raymond %A Sitlani, Colleen M %A Avery, Christy L %A Stewart, James D %A Gogarten, Stephanie M %A Wiggins, Kerri L %A Trompet, Stella %A Warren, Helen R %A Sun, Fangui %A Evans, Daniel S %A Li, Xiaohui %A Li, Jin %A Smith, Albert V %A Bis, Joshua C %A Brody, Jennifer A %A Busch, Evan L %A Caulfield, Mark J %A Chen, Yii-der I %A Cummings, Steven R %A Cupples, L Adrienne %A Duan, Qing %A Franco, Oscar H %A Méndez-Giráldez, Rául %A Harris, Tamara B %A Heckbert, Susan R %A van Heemst, Diana %A Hofman, Albert %A Floyd, James S %A Kors, Jan A %A Launer, Lenore J %A Li, Yun %A Li-Gao, Ruifang %A Lange, Leslie A %A Lin, Henry J %A de Mutsert, Renée %A Napier, Melanie D %A Newton-Cheh, Christopher %A Poulter, Neil %A Reiner, Alexander P %A Rice, Kenneth M %A Roach, Jeffrey %A Rodriguez, Carlos J %A Rosendaal, Frits R %A Sattar, Naveed %A Sever, Peter %A Seyerle, Amanda A %A Slagboom, P Eline %A Soliman, Elsayed Z %A Sotoodehnia, Nona %A Stott, David J %A Stürmer, Til %A Taylor, Kent D %A Thornton, Timothy A %A Uitterlinden, André G %A Wilhelmsen, Kirk C %A Wilson, James G %A Gudnason, Vilmundur %A Jukema, J Wouter %A Laurie, Cathy C %A Liu, Yongmei %A Mook-Kanamori, Dennis O %A Munroe, Patricia B %A Rotter, Jerome I %A Vasan, Ramachandran S %A Psaty, Bruce M %A Stricker, Bruno H %A Whitsel, Eric A %X

BACKGROUND: Increased heart rate and a prolonged QT interval are important risk factors for cardiovascular morbidity and mortality, and can be influenced by the use of various medications, including tricyclic/tetracyclic antidepressants (TCAs). We aim to identify genetic loci that modify the association between TCA use and RR and QT intervals.

METHODS AND RESULTS: We conducted race/ethnic-specific genome-wide interaction analyses (with HapMap phase II imputed reference panel imputation) of TCAs and resting RR and QT intervals in cohorts of European (n=45 706; n=1417 TCA users), African (n=10 235; n=296 TCA users) and Hispanic/Latino (n=13 808; n=147 TCA users) ancestry, adjusted for clinical covariates. Among the populations of European ancestry, two genome-wide significant loci were identified for RR interval: rs6737205 in BRE (β=56.3, pinteraction=3.9e(-9)) and rs9830388 in UBE2E2 (β=25.2, pinteraction=1.7e(-8)). In Hispanic/Latino cohorts, rs2291477 in TGFBR3 significantly modified the association between TCAs and QT intervals (β=9.3, pinteraction=2.55e(-8)). In the meta-analyses of the other ethnicities, these loci either were excluded from the meta-analyses (as part of quality control), or their effects did not reach the level of nominal statistical significance (pinteraction>0.05). No new variants were identified in these ethnicities. No additional loci were identified after inverse-variance-weighted meta-analysis of the three ancestries.

CONCLUSIONS: Among Europeans, TCA interactions with variants in BRE and UBE2E2 were identified in relation to RR intervals. Among Hispanic/Latinos, variants in TGFBR3 modified the relation between TCAs and QT intervals. Future studies are required to confirm our results.

%B J Med Genet %V 54 %P 313-323 %8 2017 May %G eng %N 5 %R 10.1136/jmedgenet-2016-104112 %0 Journal Article %J Am J Hum Genet %D 2017 %T Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis. %A van Rooij, Frank J A %A Qayyum, Rehan %A Smith, Albert V %A Zhou, Yi %A Trompet, Stella %A Tanaka, Toshiko %A Keller, Margaux F %A Chang, Li-Ching %A Schmidt, Helena %A Yang, Min-Lee %A Chen, Ming-Huei %A Hayes, James %A Johnson, Andrew D %A Yanek, Lisa R %A Mueller, Christian %A Lange, Leslie %A Floyd, James S %A Ghanbari, Mohsen %A Zonderman, Alan B %A Jukema, J Wouter %A Hofman, Albert %A van Duijn, Cornelia M %A Desch, Karl C %A Saba, Yasaman %A Ozel, Ayse B %A Snively, Beverly M %A Wu, Jer-Yuarn %A Schmidt, Reinhold %A Fornage, Myriam %A Klein, Robert J %A Fox, Caroline S %A Matsuda, Koichi %A Kamatani, Naoyuki %A Wild, Philipp S %A Stott, David J %A Ford, Ian %A Slagboom, P Eline %A Yang, Jaden %A Chu, Audrey Y %A Lambert, Amy J %A Uitterlinden, André G %A Franco, Oscar H %A Hofer, Edith %A Ginsburg, David %A Hu, Bella %A Keating, Brendan %A Schick, Ursula M %A Brody, Jennifer A %A Li, Jun Z %A Chen, Zhao %A Zeller, Tanja %A Guralnik, Jack M %A Chasman, Daniel I %A Peters, Luanne L %A Kubo, Michiaki %A Becker, Diane M %A Li, Jin %A Eiriksdottir, Gudny %A Rotter, Jerome I %A Levy, Daniel %A Grossmann, Vera %A Patel, Kushang V %A Chen, Chien-Hsiun %A Ridker, Paul M %A Tang, Hua %A Launer, Lenore J %A Rice, Kenneth M %A Li-Gao, Ruifang %A Ferrucci, Luigi %A Evans, Michelle K %A Choudhuri, Avik %A Trompouki, Eirini %A Abraham, Brian J %A Yang, Song %A Takahashi, Atsushi %A Kamatani, Yoichiro %A Kooperberg, Charles %A Harris, Tamara B %A Jee, Sun Ha %A Coresh, Josef %A Tsai, Fuu-Jen %A Longo, Dan L %A Chen, Yuan-Tsong %A Felix, Janine F %A Yang, Qiong %A Psaty, Bruce M %A Boerwinkle, Eric %A Becker, Lewis C %A Mook-Kanamori, Dennis O %A Wilson, James G %A Gudnason, Vilmundur %A O'Donnell, Christopher J %A Dehghan, Abbas %A Cupples, L Adrienne %A Nalls, Michael A %A Morris, Andrew P %A Okada, Yukinori %A Reiner, Alexander P %A Zon, Leonard I %A Ganesh, Santhi K %X

Genome-wide association studies (GWASs) have identified loci for erythrocyte traits in primarily European ancestry populations. We conducted GWAS meta-analyses of six erythrocyte traits in 71,638 individuals from European, East Asian, and African ancestries using a Bayesian approach to account for heterogeneity in allelic effects and variation in the structure of linkage disequilibrium between ethnicities. We identified seven loci for erythrocyte traits including a locus (RBPMS/GTF2E2) associated with mean corpuscular hemoglobin and mean corpuscular volume. Statistical fine-mapping at this locus pointed to RBPMS at this locus and excluded nearby GTF2E2. Using zebrafish morpholino to evaluate loss of function, we observed a strong in vivo erythropoietic effect for RBPMS but not for GTF2E2, supporting the statistical fine-mapping at this locus and demonstrating that RBPMS is a regulator of erythropoiesis. Our findings show the utility of trans-ethnic GWASs for discovery and characterization of genetic loci influencing hematologic traits.

%B Am J Hum Genet %V 100 %P 51-63 %8 2017 Jan 05 %G eng %N 1 %R 10.1016/j.ajhg.2016.11.016 %0 Journal Article %J Nat Commun %D 2017 %T Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. %A Zillikens, M Carola %A Demissie, Serkalem %A Hsu, Yi-Hsiang %A Yerges-Armstrong, Laura M %A Chou, Wen-Chi %A Stolk, Lisette %A Livshits, Gregory %A Broer, Linda %A Johnson, Toby %A Koller, Daniel L %A Kutalik, Zoltán %A Luan, Jian'an %A Malkin, Ida %A Ried, Janina S %A Smith, Albert V %A Thorleifsson, Gudmar %A Vandenput, Liesbeth %A Hua Zhao, Jing %A Zhang, Weihua %A Aghdassi, Ali %A Åkesson, Kristina %A Amin, Najaf %A Baier, Leslie J %A Barroso, Inês %A Bennett, David A %A Bertram, Lars %A Biffar, Rainer %A Bochud, Murielle %A Boehnke, Michael %A Borecki, Ingrid B %A Buchman, Aron S %A Byberg, Liisa %A Campbell, Harry %A Campos Obanda, Natalia %A Cauley, Jane A %A Cawthon, Peggy M %A Cederberg, Henna %A Chen, Zhao %A Cho, Nam H %A Jin Choi, Hyung %A Claussnitzer, Melina %A Collins, Francis %A Cummings, Steven R %A De Jager, Philip L %A Demuth, Ilja %A Dhonukshe-Rutten, Rosalie A M %A Diatchenko, Luda %A Eiriksdottir, Gudny %A Enneman, Anke W %A Erdos, Mike %A Eriksson, Johan G %A Eriksson, Joel %A Estrada, Karol %A Evans, Daniel S %A Feitosa, Mary F %A Fu, Mao %A Garcia, Melissa %A Gieger, Christian %A Girke, Thomas %A Glazer, Nicole L %A Grallert, Harald %A Grewal, Jagvir %A Han, Bok-Ghee %A Hanson, Robert L %A Hayward, Caroline %A Hofman, Albert %A Hoffman, Eric P %A Homuth, Georg %A Hsueh, Wen-Chi %A Hubal, Monica J %A Hubbard, Alan %A Huffman, Kim M %A Husted, Lise B %A Illig, Thomas %A Ingelsson, Erik %A Ittermann, Till %A Jansson, John-Olov %A Jordan, Joanne M %A Jula, Antti %A Karlsson, Magnus %A Khaw, Kay-Tee %A Kilpeläinen, Tuomas O %A Klopp, Norman %A Kloth, Jacqueline S L %A Koistinen, Heikki A %A Kraus, William E %A Kritchevsky, Stephen %A Kuulasmaa, Teemu %A Kuusisto, Johanna %A Laakso, Markku %A Lahti, Jari %A Lang, Thomas %A Langdahl, Bente L %A Launer, Lenore J %A Lee, Jong-Young %A Lerch, Markus M %A Lewis, Joshua R %A Lind, Lars %A Lindgren, Cecilia %A Liu, Yongmei %A Liu, Tian %A Liu, Youfang %A Ljunggren, Osten %A Lorentzon, Mattias %A Luben, Robert N %A Maixner, William %A McGuigan, Fiona E %A Medina-Gómez, Carolina %A Meitinger, Thomas %A Melhus, Håkan %A Mellström, Dan %A Melov, Simon %A Michaëlsson, Karl %A Mitchell, Braxton D %A Morris, Andrew P %A Mosekilde, Leif %A Newman, Anne %A Nielson, Carrie M %A O'Connell, Jeffrey R %A Oostra, Ben A %A Orwoll, Eric S %A Palotie, Aarno %A Parker, Stephen C J %A Peacock, Munro %A Perola, Markus %A Peters, Annette %A Polasek, Ozren %A Prince, Richard L %A Räikkönen, Katri %A Ralston, Stuart H %A Ripatti, Samuli %A Robbins, John A %A Rotter, Jerome I %A Rudan, Igor %A Salomaa, Veikko %A Satterfield, Suzanne %A Schadt, Eric E %A Schipf, Sabine %A Scott, Laura %A Sehmi, Joban %A Shen, Jian %A Soo Shin, Chan %A Sigurdsson, Gunnar %A Smith, Shad %A Soranzo, Nicole %A Stančáková, Alena %A Steinhagen-Thiessen, Elisabeth %A Streeten, Elizabeth A %A Styrkarsdottir, Unnur %A Swart, Karin M A %A Tan, Sian-Tsung %A Tarnopolsky, Mark A %A Thompson, Patricia %A Thomson, Cynthia A %A Thorsteinsdottir, Unnur %A Tikkanen, Emmi %A Tranah, Gregory J %A Tuomilehto, Jaakko %A van Schoor, Natasja M %A Verma, Arjun %A Vollenweider, Peter %A Völzke, Henry %A Wactawski-Wende, Jean %A Walker, Mark %A Weedon, Michael N %A Welch, Ryan %A Wichmann, H-Erich %A Widen, Elisabeth %A Williams, Frances M K %A Wilson, James F %A Wright, Nicole C %A Xie, Weijia %A Yu, Lei %A Zhou, Yanhua %A Chambers, John C %A Döring, Angela %A van Duijn, Cornelia M %A Econs, Michael J %A Gudnason, Vilmundur %A Kooner, Jaspal S %A Psaty, Bruce M %A Spector, Timothy D %A Stefansson, Kari %A Rivadeneira, Fernando %A Uitterlinden, André G %A Wareham, Nicholas J %A Ossowski, Vicky %A Waterworth, Dawn %A Loos, Ruth J F %A Karasik, David %A Harris, Tamara B %A Ohlsson, Claes %A Kiel, Douglas P %X

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10-8) or suggestively genome wide (p < 2.3 × 10-6). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.Lean body mass is a highly heritable trait and is associated with various health conditions. Here, Kiel and colleagues perform a meta-analysis of genome-wide association studies for whole body lean body mass and find five novel genetic loci to be significantly associated.

%B Nat Commun %V 8 %P 80 %8 2017 Jul 19 %G eng %N 1 %R 10.1038/s41467-017-00031-7 %0 Journal Article %J Nat Genet %D 2017 %T Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation. %A Christophersen, Ingrid E %A Rienstra, Michiel %A Roselli, Carolina %A Yin, Xiaoyan %A Geelhoed, Bastiaan %A Barnard, John %A Lin, Honghuang %A Arking, Dan E %A Smith, Albert V %A Albert, Christine M %A Chaffin, Mark %A Tucker, Nathan R %A Li, Molong %A Klarin, Derek %A Bihlmeyer, Nathan A %A Low, Siew-Kee %A Weeke, Peter E %A Müller-Nurasyid, Martina %A Smith, J Gustav %A Brody, Jennifer A %A Niemeijer, Maartje N %A Dörr, Marcus %A Trompet, Stella %A Huffman, Jennifer %A Gustafsson, Stefan %A Schurmann, Claudia %A Kleber, Marcus E %A Lyytikäinen, Leo-Pekka %A Seppälä, Ilkka %A Malik, Rainer %A Horimoto, Andrea R V R %A Perez, Marco %A Sinisalo, Juha %A Aeschbacher, Stefanie %A Thériault, Sébastien %A Yao, Jie %A Radmanesh, Farid %A Weiss, Stefan %A Teumer, Alexander %A Choi, Seung Hoan %A Weng, Lu-Chen %A Clauss, Sebastian %A Deo, Rajat %A Rader, Daniel J %A Shah, Svati H %A Sun, Albert %A Hopewell, Jemma C %A Debette, Stephanie %A Chauhan, Ganesh %A Yang, Qiong %A Worrall, Bradford B %A Paré, Guillaume %A Kamatani, Yoichiro %A Hagemeijer, Yanick P %A Verweij, Niek %A Siland, Joylene E %A Kubo, Michiaki %A Smith, Jonathan D %A Van Wagoner, David R %A Bis, Joshua C %A Perz, Siegfried %A Psaty, Bruce M %A Ridker, Paul M %A Magnani, Jared W %A Harris, Tamara B %A Launer, Lenore J %A Shoemaker, M Benjamin %A Padmanabhan, Sandosh %A Haessler, Jeffrey %A Bartz, Traci M %A Waldenberger, Melanie %A Lichtner, Peter %A Arendt, Marina %A Krieger, Jose E %A Kähönen, Mika %A Risch, Lorenz %A Mansur, Alfredo J %A Peters, Annette %A Smith, Blair H %A Lind, Lars %A Scott, Stuart A %A Lu, Yingchang %A Bottinger, Erwin B %A Hernesniemi, Jussi %A Lindgren, Cecilia M %A Wong, Jorge A %A Huang, Jie %A Eskola, Markku %A Morris, Andrew P %A Ford, Ian %A Reiner, Alex P %A Delgado, Graciela %A Chen, Lin Y %A Chen, Yii-Der Ida %A Sandhu, Roopinder K %A Li, Man %A Boerwinkle, Eric %A Eisele, Lewin %A Lannfelt, Lars %A Rost, Natalia %A Anderson, Christopher D %A Taylor, Kent D %A Campbell, Archie %A Magnusson, Patrik K %A Porteous, David %A Hocking, Lynne J %A Vlachopoulou, Efthymia %A Pedersen, Nancy L %A Nikus, Kjell %A Orho-Melander, Marju %A Hamsten, Anders %A Heeringa, Jan %A Denny, Joshua C %A Kriebel, Jennifer %A Darbar, Dawood %A Newton-Cheh, Christopher %A Shaffer, Christian %A Macfarlane, Peter W %A Heilmann-Heimbach, Stefanie %A Almgren, Peter %A Huang, Paul L %A Sotoodehnia, Nona %A Soliman, Elsayed Z %A Uitterlinden, André G %A Hofman, Albert %A Franco, Oscar H %A Völker, Uwe %A Jöckel, Karl-Heinz %A Sinner, Moritz F %A Lin, Henry J %A Guo, Xiuqing %A Dichgans, Martin %A Ingelsson, Erik %A Kooperberg, Charles %A Melander, Olle %A Loos, Ruth J F %A Laurikka, Jari %A Conen, David %A Rosand, Jonathan %A van der Harst, Pim %A Lokki, Marja-Liisa %A Kathiresan, Sekar %A Pereira, Alexandre %A Jukema, J Wouter %A Hayward, Caroline %A Rotter, Jerome I %A März, Winfried %A Lehtimäki, Terho %A Stricker, Bruno H %A Chung, Mina K %A Felix, Stephan B %A Gudnason, Vilmundur %A Alonso, Alvaro %A Roden, Dan M %A Kääb, Stefan %A Chasman, Daniel I %A Heckbert, Susan R %A Benjamin, Emelia J %A Tanaka, Toshihiro %A Lunetta, Kathryn L %A Lubitz, Steven A %A Ellinor, Patrick T %X

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.

%B Nat Genet %V 49 %P 946-952 %8 2017 Jun %G eng %N 6 %R 10.1038/ng.3843 %0 Journal Article %J Hypertension %D 2017 %T Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney. %A Wain, Louise V %A Vaez, Ahmad %A Jansen, Rick %A Joehanes, Roby %A van der Most, Peter J %A Erzurumluoglu, A Mesut %A O'Reilly, Paul F %A Cabrera, Claudia P %A Warren, Helen R %A Rose, Lynda M %A Verwoert, Germaine C %A Hottenga, Jouke-Jan %A Strawbridge, Rona J %A Esko, Tõnu %A Arking, Dan E %A Hwang, Shih-Jen %A Guo, Xiuqing %A Kutalik, Zoltán %A Trompet, Stella %A Shrine, Nick %A Teumer, Alexander %A Ried, Janina S %A Bis, Joshua C %A Smith, Albert V %A Amin, Najaf %A Nolte, Ilja M %A Lyytikäinen, Leo-Pekka %A Mahajan, Anubha %A Wareham, Nicholas J %A Hofer, Edith %A Joshi, Peter K %A Kristiansson, Kati %A Traglia, Michela %A Havulinna, Aki S %A Goel, Anuj %A Nalls, Mike A %A Sõber, Siim %A Vuckovic, Dragana %A Luan, Jian'an %A del Greco M, Fabiola %A Ayers, Kristin L %A Marrugat, Jaume %A Ruggiero, Daniela %A Lopez, Lorna M %A Niiranen, Teemu %A Enroth, Stefan %A Jackson, Anne U %A Nelson, Christopher P %A Huffman, Jennifer E %A Zhang, Weihua %A Marten, Jonathan %A Gandin, Ilaria %A Harris, Sarah E %A Zemunik, Tatijana %A Lu, Yingchang %A Evangelou, Evangelos %A Shah, Nabi %A de Borst, Martin H %A Mangino, Massimo %A Prins, Bram P %A Campbell, Archie %A Li-Gao, Ruifang %A Chauhan, Ganesh %A Oldmeadow, Christopher %A Abecasis, Goncalo %A Abedi, Maryam %A Barbieri, Caterina M %A Barnes, Michael R %A Batini, Chiara %A Beilby, John %A Blake, Tineka %A Boehnke, Michael %A Bottinger, Erwin P %A Braund, Peter S %A Brown, Morris %A Brumat, Marco %A Campbell, Harry %A Chambers, John C %A Cocca, Massimiliano %A Collins, Francis %A Connell, John %A Cordell, Heather J %A Damman, Jeffrey J %A Davies, Gail %A de Geus, Eco J %A de Mutsert, Renée %A Deelen, Joris %A Demirkale, Yusuf %A Doney, Alex S F %A Dörr, Marcus %A Farrall, Martin %A Ferreira, Teresa %A Frånberg, Mattias %A Gao, He %A Giedraitis, Vilmantas %A Gieger, Christian %A Giulianini, Franco %A Gow, Alan J %A Hamsten, Anders %A Harris, Tamara B %A Hofman, Albert %A Holliday, Elizabeth G %A Hui, Jennie %A Jarvelin, Marjo-Riitta %A Johansson, Asa %A Johnson, Andrew D %A Jousilahti, Pekka %A Jula, Antti %A Kähönen, Mika %A Kathiresan, Sekar %A Khaw, Kay-Tee %A Kolcic, Ivana %A Koskinen, Seppo %A Langenberg, Claudia %A Larson, Marty %A Launer, Lenore J %A Lehne, Benjamin %A Liewald, David C M %A Lin, Li %A Lind, Lars %A Mach, François %A Mamasoula, Chrysovalanto %A Menni, Cristina %A Mifsud, Borbala %A Milaneschi, Yuri %A Morgan, Anna %A Morris, Andrew D %A Morrison, Alanna C %A Munson, Peter J %A Nandakumar, Priyanka %A Nguyen, Quang Tri %A Nutile, Teresa %A Oldehinkel, Albertine J %A Oostra, Ben A %A Org, Elin %A Padmanabhan, Sandosh %A Palotie, Aarno %A Paré, Guillaume %A Pattie, Alison %A Penninx, Brenda W J H %A Poulter, Neil %A Pramstaller, Peter P %A Raitakari, Olli T %A Ren, Meixia %A Rice, Kenneth %A Ridker, Paul M %A Riese, Harriëtte %A Ripatti, Samuli %A Robino, Antonietta %A Rotter, Jerome I %A Rudan, Igor %A Saba, Yasaman %A Saint Pierre, Aude %A Sala, Cinzia F %A Sarin, Antti-Pekka %A Schmidt, Reinhold %A Scott, Rodney %A Seelen, Marc A %A Shields, Denis C %A Siscovick, David %A Sorice, Rossella %A Stanton, Alice %A Stott, David J %A Sundström, Johan %A Swertz, Morris %A Taylor, Kent D %A Thom, Simon %A Tzoulaki, Ioanna %A Tzourio, Christophe %A Uitterlinden, André G %A Völker, Uwe %A Vollenweider, Peter %A Wild, Sarah %A Willemsen, Gonneke %A Wright, Alan F %A Yao, Jie %A Thériault, Sébastien %A Conen, David %A Attia, John %A Sever, Peter %A Debette, Stephanie %A Mook-Kanamori, Dennis O %A Zeggini, Eleftheria %A Spector, Tim D %A van der Harst, Pim %A Palmer, Colin N A %A Vergnaud, Anne-Claire %A Loos, Ruth J F %A Polasek, Ozren %A Starr, John M %A Girotto, Giorgia %A Hayward, Caroline %A Kooner, Jaspal S %A Lindgren, Cecila M %A Vitart, Veronique %A Samani, Nilesh J %A Tuomilehto, Jaakko %A Gyllensten, Ulf %A Knekt, Paul %A Deary, Ian J %A Ciullo, Marina %A Elosua, Roberto %A Keavney, Bernard D %A Hicks, Andrew A %A Scott, Robert A %A Gasparini, Paolo %A Laan, Maris %A Liu, Yongmei %A Watkins, Hugh %A Hartman, Catharina A %A Salomaa, Veikko %A Toniolo, Daniela %A Perola, Markus %A Wilson, James F %A Schmidt, Helena %A Zhao, Jing Hua %A Lehtimäki, Terho %A van Duijn, Cornelia M %A Gudnason, Vilmundur %A Psaty, Bruce M %A Peters, Annette %A Rettig, Rainer %A James, Alan %A Jukema, J Wouter %A Strachan, David P %A Palmas, Walter %A Metspalu, Andres %A Ingelsson, Erik %A Boomsma, Dorret I %A Franco, Oscar H %A Bochud, Murielle %A Newton-Cheh, Christopher %A Munroe, Patricia B %A Elliott, Paul %A Chasman, Daniel I %A Chakravarti, Aravinda %A Knight, Joanne %A Morris, Andrew P %A Levy, Daniel %A Tobin, Martin D %A Snieder, Harold %A Caulfield, Mark J %A Ehret, Georg B %X

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.

%B Hypertension %8 2017 Jul 24 %G eng %R 10.1161/HYPERTENSIONAHA.117.09438 %0 Journal Article %J Circ Cardiovasc Genet %D 2017 %T PCSK9 Loss-of-Function Variants, Low-Density Lipoprotein Cholesterol, and Risk of Coronary Heart Disease and Stroke: Data From 9 Studies of Blacks and Whites. %A Kent, Shia T %A Rosenson, Robert S %A Avery, Christy L %A Chen, Yii-der I %A Correa, Adolfo %A Cummings, Steven R %A Cupples, L Adrienne %A Cushman, Mary %A Evans, Daniel S %A Gudnason, Vilmundur %A Harris, Tamara B %A Howard, George %A Irvin, Marguerite R %A Judd, Suzanne E %A Jukema, J Wouter %A Lange, Leslie %A Levitan, Emily B %A Li, Xiaohui %A Liu, Yongmei %A Post, Wendy S %A Postmus, Iris %A Psaty, Bruce M %A Rotter, Jerome I %A Safford, Monika M %A Sitlani, Colleen M %A Smith, Albert V %A Stewart, James D %A Trompet, Stella %A Sun, Fangui %A Vasan, Ramachandran S %A Woolley, J Michael %A Whitsel, Eric A %A Wiggins, Kerri L %A Wilson, James G %A Muntner, Paul %X

BACKGROUND: PCSK9 loss-of-function (LOF) variants allow for the examination of the effects of lifetime reduced low-density lipoprotein cholesterol (LDL-C) on cardiovascular events. We examined the association of PCSK9 LOF variants with LDL-C and incident coronary heart disease and stroke through a meta-analysis of data from 8 observational cohorts and 1 randomized trial of statin therapy.

METHODS AND RESULTS: These 9 studies together included 17 459 blacks with 403 (2.3%) having at least 1 Y142X or C679X variant and 31 306 whites with 955 (3.1%) having at least 1 R46L variant. Unadjusted odds ratios for associations between PCSK9 LOF variants and incident coronary heart disease (851 events in blacks and 2662 events in whites) and stroke (523 events in blacks and 1660 events in whites) were calculated using pooled Mantel-Haenszel estimates with continuity correction factors. Pooling results across studies using fixed-effects inverse-variance-weighted models, PCSK9 LOF variants were associated with 35 mg/dL (95% confidence interval [CI], 32-39) lower LDL-C in blacks and 13 mg/dL (95% CI, 11-16) lower LDL-C in whites. PCSK9 LOF variants were associated with a pooled odds ratio for coronary heart disease of 0.51 (95% CI, 0.28-0.92) in blacks and 0.82 (95% CI, 0.63-1.06) in whites. PCSK9 LOF variants were not associated with incident stroke (odds ratio, 0.84; 95% CI, 0.48-1.47 in blacks and odds ratio, 1.06; 95% CI, 0.80-1.41 in whites).

CONCLUSIONS: PCSK9 LOF variants were associated with lower LDL-C and coronary heart disease incidence. PCSK9 LOF variants were not associated with stroke risk.

%B Circ Cardiovasc Genet %V 10 %P e001632 %8 2017 Aug %G eng %N 4 %R 10.1161/CIRCGENETICS.116.001632 %0 Journal Article %J Nat Genet %D 2017 %T Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease. %A Sims, Rebecca %A van der Lee, Sven J %A Naj, Adam C %A Bellenguez, Céline %A Badarinarayan, Nandini %A Jakobsdottir, Johanna %A Kunkle, Brian W %A Boland, Anne %A Raybould, Rachel %A Bis, Joshua C %A Martin, Eden R %A Grenier-Boley, Benjamin %A Heilmann-Heimbach, Stefanie %A Chouraki, Vincent %A Kuzma, Amanda B %A Sleegers, Kristel %A Vronskaya, Maria %A Ruiz, Agustin %A Graham, Robert R %A Olaso, Robert %A Hoffmann, Per %A Grove, Megan L %A Vardarajan, Badri N %A Hiltunen, Mikko %A Nöthen, Markus M %A White, Charles C %A Hamilton-Nelson, Kara L %A Epelbaum, Jacques %A Maier, Wolfgang %A Choi, Seung-Hoan %A Beecham, Gary W %A Dulary, Cécile %A Herms, Stefan %A Smith, Albert V %A Funk, Cory C %A Derbois, Céline %A Forstner, Andreas J %A Ahmad, Shahzad %A Li, Hongdong %A Bacq, Delphine %A Harold, Denise %A Satizabal, Claudia L %A Valladares, Otto %A Squassina, Alessio %A Thomas, Rhodri %A Brody, Jennifer A %A Qu, Liming %A Sánchez-Juan, Pascual %A Morgan, Taniesha %A Wolters, Frank J %A Zhao, Yi %A Garcia, Florentino Sanchez %A Denning, Nicola %A Fornage, Myriam %A Malamon, John %A Naranjo, Maria Candida Deniz %A Majounie, Elisa %A Mosley, Thomas H %A Dombroski, Beth %A Wallon, David %A Lupton, Michelle K %A Dupuis, Josée %A Whitehead, Patrice %A Fratiglioni, Laura %A Medway, Christopher %A Jian, Xueqiu %A Mukherjee, Shubhabrata %A Keller, Lina %A Brown, Kristelle %A Lin, Honghuang %A Cantwell, Laura B %A Panza, Francesco %A McGuinness, Bernadette %A Moreno-Grau, Sonia %A Burgess, Jeremy D %A Solfrizzi, Vincenzo %A Proitsi, Petra %A Adams, Hieab H %A Allen, Mariet %A Seripa, Davide %A Pastor, Pau %A Cupples, L Adrienne %A Price, Nathan D %A Hannequin, Didier %A Frank-García, Ana %A Levy, Daniel %A Chakrabarty, Paramita %A Caffarra, Paolo %A Giegling, Ina %A Beiser, Alexa S %A Giedraitis, Vilmantas %A Hampel, Harald %A Garcia, Melissa E %A Wang, Xue %A Lannfelt, Lars %A Mecocci, Patrizia %A Eiriksdottir, Gudny %A Crane, Paul K %A Pasquier, Florence %A Boccardi, Virginia %A Henández, Isabel %A Barber, Robert C %A Scherer, Martin %A Tarraga, Lluis %A Adams, Perrie M %A Leber, Markus %A Chen, Yuning %A Albert, Marilyn S %A Riedel-Heller, Steffi %A Emilsson, Valur %A Beekly, Duane %A Braae, Anne %A Schmidt, Reinhold %A Blacker, Deborah %A Masullo, Carlo %A Schmidt, Helena %A Doody, Rachelle S %A Spalletta, Gianfranco %A Jr, W T Longstreth %A Fairchild, Thomas J %A Bossù, Paola %A Lopez, Oscar L %A Frosch, Matthew P %A Sacchinelli, Eleonora %A Ghetti, Bernardino %A Yang, Qiong %A Huebinger, Ryan M %A Jessen, Frank %A Li, Shuo %A Kamboh, M Ilyas %A Morris, John %A Sotolongo-Grau, Oscar %A Katz, Mindy J %A Corcoran, Chris %A Dunstan, Melanie %A Braddel, Amy %A Thomas, Charlene %A Meggy, Alun %A Marshall, Rachel %A Gerrish, Amy %A Chapman, Jade %A Aguilar, Miquel %A Taylor, Sarah %A Hill, Matt %A Fairén, Mònica Díez %A Hodges, Angela %A Vellas, Bruno %A Soininen, Hilkka %A Kloszewska, Iwona %A Daniilidou, Makrina %A Uphill, James %A Patel, Yogen %A Hughes, Joseph T %A Lord, Jenny %A Turton, James %A Hartmann, Annette M %A Cecchetti, Roberta %A Fenoglio, Chiara %A Serpente, Maria %A Arcaro, Marina %A Caltagirone, Carlo %A Orfei, Maria Donata %A Ciaramella, Antonio %A Pichler, Sabrina %A Mayhaus, Manuel %A Gu, Wei %A Lleo, Alberto %A Fortea, Juan %A Blesa, Rafael %A Barber, Imelda S %A Brookes, Keeley %A Cupidi, Chiara %A Maletta, Raffaele Giovanni %A Carrell, David %A Sorbi, Sandro %A Moebus, Susanne %A Urbano, Maria %A Pilotto, Alberto %A Kornhuber, Johannes %A Bosco, Paolo %A Todd, Stephen %A Craig, David %A Johnston, Janet %A Gill, Michael %A Lawlor, Brian %A Lynch, Aoibhinn %A Fox, Nick C %A Hardy, John %A Albin, Roger L %A Apostolova, Liana G %A Arnold, Steven E %A Asthana, Sanjay %A Atwood, Craig S %A Baldwin, Clinton T %A Barnes, Lisa L %A Barral, Sandra %A Beach, Thomas G %A Becker, James T %A Bigio, Eileen H %A Bird, Thomas D %A Boeve, Bradley F %A Bowen, James D %A Boxer, Adam %A Burke, James R %A Burns, Jeffrey M %A Buxbaum, Joseph D %A Cairns, Nigel J %A Cao, Chuanhai %A Carlson, Chris S %A Carlsson, Cynthia M %A Carney, Regina M %A Carrasquillo, Minerva M %A Carroll, Steven L %A Diaz, Carolina Ceballos %A Chui, Helena C %A Clark, David G %A Cribbs, David H %A Crocco, Elizabeth A %A DeCarli, Charles %A Dick, Malcolm %A Duara, Ranjan %A Evans, Denis A %A Faber, Kelley M %A Fallon, Kenneth B %A Fardo, David W %A Farlow, Martin R %A Ferris, Steven %A Foroud, Tatiana M %A Galasko, Douglas R %A Gearing, Marla %A Geschwind, Daniel H %A Gilbert, John R %A Graff-Radford, Neill R %A Green, Robert C %A Growdon, John H %A Hamilton, Ronald L %A Harrell, Lindy E %A Honig, Lawrence S %A Huentelman, Matthew J %A Hulette, Christine M %A Hyman, Bradley T %A Jarvik, Gail P %A Abner, Erin %A Jin, Lee-Way %A Jun, Gyungah %A Karydas, Anna %A Kaye, Jeffrey A %A Kim, Ronald %A Kowall, Neil W %A Kramer, Joel H %A LaFerla, Frank M %A Lah, James J %A Leverenz, James B %A Levey, Allan I %A Li, Ge %A Lieberman, Andrew P %A Lunetta, Kathryn L %A Lyketsos, Constantine G %A Marson, Daniel C %A Martiniuk, Frank %A Mash, Deborah C %A Masliah, Eliezer %A McCormick, Wayne C %A McCurry, Susan M %A McDavid, Andrew N %A McKee, Ann C %A Mesulam, Marsel %A Miller, Bruce L %A Miller, Carol A %A Miller, Joshua W %A Morris, John C %A Murrell, Jill R %A Myers, Amanda J %A O'Bryant, Sid %A Olichney, John M %A Pankratz, Vernon S %A Parisi, Joseph E %A Paulson, Henry L %A Perry, William %A Peskind, Elaine %A Pierce, Aimee %A Poon, Wayne W %A Potter, Huntington %A Quinn, Joseph F %A Raj, Ashok %A Raskind, Murray %A Reisberg, Barry %A Reitz, Christiane %A Ringman, John M %A Roberson, Erik D %A Rogaeva, Ekaterina %A Rosen, Howard J %A Rosenberg, Roger N %A Sager, Mark A %A Saykin, Andrew J %A Schneider, Julie A %A Schneider, Lon S %A Seeley, William W %A Smith, Amanda G %A Sonnen, Joshua A %A Spina, Salvatore %A Stern, Robert A %A Swerdlow, Russell H %A Tanzi, Rudolph E %A Thornton-Wells, Tricia A %A Trojanowski, John Q %A Troncoso, Juan C %A Van Deerlin, Vivianna M %A Van Eldik, Linda J %A Vinters, Harry V %A Vonsattel, Jean Paul %A Weintraub, Sandra %A Welsh-Bohmer, Kathleen A %A Wilhelmsen, Kirk C %A Williamson, Jennifer %A Wingo, Thomas S %A Woltjer, Randall L %A Wright, Clinton B %A Yu, Chang-En %A Yu, Lei %A Garzia, Fabienne %A Golamaully, Feroze %A Septier, Gislain %A Engelborghs, Sebastien %A Vandenberghe, Rik %A De Deyn, Peter P %A Fernadez, Carmen Muñoz %A Benito, Yoland Aladro %A Thonberg, Håkan %A Forsell, Charlotte %A Lilius, Lena %A Kinhult-Ståhlbom, Anne %A Kilander, Lena %A Brundin, RoseMarie %A Concari, Letizia %A Helisalmi, Seppo %A Koivisto, Anne Maria %A Haapasalo, Annakaisa %A Dermecourt, Vincent %A Fiévet, Nathalie %A Hanon, Olivier %A Dufouil, Carole %A Brice, Alexis %A Ritchie, Karen %A Dubois, Bruno %A Himali, Jayanadra J %A Keene, C Dirk %A Tschanz, JoAnn %A Fitzpatrick, Annette L %A Kukull, Walter A %A Norton, Maria %A Aspelund, Thor %A Larson, Eric B %A Munger, Ron %A Rotter, Jerome I %A Lipton, Richard B %A Bullido, María J %A Hofman, Albert %A Montine, Thomas J %A Coto, Eliecer %A Boerwinkle, Eric %A Petersen, Ronald C %A Alvarez, Victoria %A Rivadeneira, Fernando %A Reiman, Eric M %A Gallo, Maura %A O'Donnell, Christopher J %A Reisch, Joan S %A Bruni, Amalia Cecilia %A Royall, Donald R %A Dichgans, Martin %A Sano, Mary %A Galimberti, Daniela %A St George-Hyslop, Peter %A Scarpini, Elio %A Tsuang, Debby W %A Mancuso, Michelangelo %A Bonuccelli, Ubaldo %A Winslow, Ashley R %A Daniele, Antonio %A Wu, Chuang-Kuo %A Peters, Oliver %A Nacmias, Benedetta %A Riemenschneider, Matthias %A Heun, Reinhard %A Brayne, Carol %A Rubinsztein, David C %A Bras, Jose %A Guerreiro, Rita %A Al-Chalabi, Ammar %A Shaw, Christopher E %A Collinge, John %A Mann, David %A Tsolaki, Magda %A Clarimon, Jordi %A Sussams, Rebecca %A Lovestone, Simon %A O'Donovan, Michael C %A Owen, Michael J %A Behrens, Timothy W %A Mead, Simon %A Goate, Alison M %A Uitterlinden, André G %A Holmes, Clive %A Cruchaga, Carlos %A Ingelsson, Martin %A Bennett, David A %A Powell, John %A Golde, Todd E %A Graff, Caroline %A De Jager, Philip L %A Morgan, Kevin %A Ertekin-Taner, Nilufer %A Combarros, Onofre %A Psaty, Bruce M %A Passmore, Peter %A Younkin, Steven G %A Berr, Claudine %A Gudnason, Vilmundur %A Rujescu, Dan %A Dickson, Dennis W %A Dartigues, Jean-François %A DeStefano, Anita L %A Ortega-Cubero, Sara %A Hakonarson, Hakon %A Campion, Dominique %A Boada, Merce %A Kauwe, John Keoni %A Farrer, Lindsay A %A Van Broeckhoven, Christine %A Ikram, M Arfan %A Jones, Lesley %A Haines, Jonathan L %A Tzourio, Christophe %A Launer, Lenore J %A Escott-Price, Valentina %A Mayeux, Richard %A Deleuze, Jean-Francois %A Amin, Najaf %A Holmans, Peter A %A Pericak-Vance, Margaret A %A Amouyel, Philippe %A van Duijn, Cornelia M %A Ramirez, Alfredo %A Wang, Li-San %A Lambert, Jean-Charles %A Seshadri, Sudha %A Williams, Julie %A Schellenberg, Gerard D %K Adaptor Proteins, Signal Transducing %K Alzheimer Disease %K Amino Acid Sequence %K Case-Control Studies %K Exome %K Gene Expression Profiling %K Gene Frequency %K Genetic Predisposition to Disease %K Genotype %K Humans %K Immunity, Innate %K Linkage Disequilibrium %K Membrane Glycoproteins %K Microglia %K Odds Ratio %K Phospholipase C gamma %K Polymorphism, Single Nucleotide %K Protein Interaction Maps %K Receptors, Immunologic %K Sequence Homology, Amino Acid %X

We identified rare coding variants associated with Alzheimer's disease in a three-stage case-control study of 85,133 subjects. In stage 1, we genotyped 34,174 samples using a whole-exome microarray. In stage 2, we tested associated variants (P < 1 × 10-4) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, we used an additional 14,997 samples to test the most significant stage 2 associations (P < 5 × 10-8) using imputed genotypes. We observed three new genome-wide significant nonsynonymous variants associated with Alzheimer's disease: a protective variant in PLCG2 (rs72824905: p.Pro522Arg, P = 5.38 × 10-10, odds ratio (OR) = 0.68, minor allele frequency (MAF)cases = 0.0059, MAFcontrols = 0.0093), a risk variant in ABI3 (rs616338: p.Ser209Phe, P = 4.56 × 10-10, OR = 1.43, MAFcases = 0.011, MAFcontrols = 0.008), and a new genome-wide significant variant in TREM2 (rs143332484: p.Arg62His, P = 1.55 × 10-14, OR = 1.67, MAFcases = 0.0143, MAFcontrols = 0.0089), a known susceptibility gene for Alzheimer's disease. These protein-altering changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified risk genes in Alzheimer's disease. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer's disease.

%B Nat Genet %V 49 %P 1373-1384 %8 2017 Sep %G eng %N 9 %R 10.1038/ng.3916 %0 Journal Article %J Circ Genom Precis Med %D 2018 %T Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval. %A Lin, Honghuang %A van Setten, Jessica %A Smith, Albert V %A Bihlmeyer, Nathan A %A Warren, Helen R %A Brody, Jennifer A %A Radmanesh, Farid %A Hall, Leanne %A Grarup, Niels %A Müller-Nurasyid, Martina %A Boutin, Thibaud %A Verweij, Niek %A Lin, Henry J %A Li-Gao, Ruifang %A van den Berg, Marten E %A Marten, Jonathan %A Weiss, Stefan %A Prins, Bram P %A Haessler, Jeffrey %A Lyytikäinen, Leo-Pekka %A Mei, Hao %A Harris, Tamara B %A Launer, Lenore J %A Li, Man %A Alonso, Alvaro %A Soliman, Elsayed Z %A Connell, John M %A Huang, Paul L %A Weng, Lu-Chen %A Jameson, Heather S %A Hucker, William %A Hanley, Alan %A Tucker, Nathan R %A Chen, Yii-Der Ida %A Bis, Joshua C %A Rice, Kenneth M %A Sitlani, Colleen M %A Kors, Jan A %A Xie, Zhijun %A Wen, Chengping %A Magnani, Jared W %A Nelson, Christopher P %A Kanters, Jørgen K %A Sinner, Moritz F %A Strauch, Konstantin %A Peters, Annette %A Waldenberger, Melanie %A Meitinger, Thomas %A Bork-Jensen, Jette %A Pedersen, Oluf %A Linneberg, Allan %A Rudan, Igor %A de Boer, Rudolf A %A van der Meer, Peter %A Yao, Jie %A Guo, Xiuqing %A Taylor, Kent D %A Sotoodehnia, Nona %A Rotter, Jerome I %A Mook-Kanamori, Dennis O %A Trompet, Stella %A Rivadeneira, Fernando %A Uitterlinden, Andre %A Eijgelsheim, Mark %A Padmanabhan, Sandosh %A Smith, Blair H %A Völzke, Henry %A Felix, Stephan B %A Homuth, Georg %A Völker, Uwe %A Mangino, Massimo %A Spector, Timothy D %A Bots, Michiel L %A Perez, Marco %A Kähönen, Mika %A Raitakari, Olli T %A Gudnason, Vilmundur %A Arking, Dan E %A Munroe, Patricia B %A Psaty, Bruce M %A van Duijn, Cornelia M %A Benjamin, Emelia J %A Rosand, Jonathan %A Samani, Nilesh J %A Hansen, Torben %A Kääb, Stefan %A Polasek, Ozren %A van der Harst, Pim %A Heckbert, Susan R %A Jukema, J Wouter %A Stricker, Bruno H %A Hayward, Caroline %A Dörr, Marcus %A Jamshidi, Yalda %A Asselbergs, Folkert W %A Kooperberg, Charles %A Lehtimäki, Terho %A Wilson, James G %A Ellinor, Patrick T %A Lubitz, Steven A %A Isaacs, Aaron %X

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.

%B Circ Genom Precis Med %V 11 %P e002037 %8 2018 May %G eng %N 5 %R 10.1161/CIRCGEN.117.002037 %0 Journal Article %J Stroke %D 2018 %T Exome Chip Analysis Identifies Low-Frequency and Rare Variants in for White Matter Hyperintensities on Brain Magnetic Resonance Imaging. %A Jian, Xueqiu %A Satizabal, Claudia L %A Smith, Albert V %A Wittfeld, Katharina %A Bis, Joshua C %A Smith, Jennifer A %A Hsu, Fang-Chi %A Nho, Kwangsik %A Hofer, Edith %A Hagenaars, Saskia P %A Nyquist, Paul A %A Mishra, Aniket %A Adams, Hieab H H %A Li, Shuo %A Teumer, Alexander %A Zhao, Wei %A Freedman, Barry I %A Saba, Yasaman %A Yanek, Lisa R %A Chauhan, Ganesh %A van Buchem, Mark A %A Cushman, Mary %A Royle, Natalie A %A Bryan, R Nick %A Niessen, Wiro J %A Windham, Beverly G %A DeStefano, Anita L %A Habes, Mohamad %A Heckbert, Susan R %A Palmer, Nicholette D %A Lewis, Cora E %A Eiriksdottir, Gudny %A Maillard, Pauline %A Mathias, Rasika A %A Homuth, Georg %A Valdés-Hernández, Maria Del C %A Divers, Jasmin %A Beiser, Alexa S %A Langner, Sönke %A Rice, Kenneth M %A Bastin, Mark E %A Yang, Qiong %A Maldjian, Joseph A %A Starr, John M %A Sidney, Stephen %A Risacher, Shannon L %A Uitterlinden, André G %A Gudnason, Vilmundur G %A Nauck, Matthias %A Rotter, Jerome I %A Schreiner, Pamela J %A Boerwinkle, Eric %A van Duijn, Cornelia M %A Mazoyer, Bernard %A von Sarnowski, Bettina %A Gottesman, Rebecca F %A Levy, Daniel %A Sigurdsson, Sigurdur %A Vernooij, Meike W %A Turner, Stephen T %A Schmidt, Reinhold %A Wardlaw, Joanna M %A Psaty, Bruce M %A Mosley, Thomas H %A DeCarli, Charles S %A Saykin, Andrew J %A Bowden, Donald W %A Becker, Diane M %A Deary, Ian J %A Schmidt, Helena %A Kardia, Sharon L R %A Ikram, M Arfan %A Debette, Stephanie %A Grabe, Hans J %A Longstreth, W T %A Seshadri, Sudha %A Launer, Lenore J %A Fornage, Myriam %X

BACKGROUND AND PURPOSE: White matter hyperintensities (WMH) on brain magnetic resonance imaging are typical signs of cerebral small vessel disease and may indicate various preclinical, age-related neurological disorders, such as stroke. Though WMH are highly heritable, known common variants explain a small proportion of the WMH variance. The contribution of low-frequency/rare coding variants to WMH burden has not been explored.

METHODS: In the discovery sample we recruited 20 719 stroke/dementia-free adults from 13 population-based cohort studies within the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, among which 17 790 were of European ancestry and 2929 of African ancestry. We genotyped these participants at ≈250 000 mostly exonic variants with Illumina HumanExome BeadChip arrays. We performed ethnicity-specific linear regression on rank-normalized WMH in each study separately, which were then combined in meta-analyses to test for association with single variants and genes aggregating the effects of putatively functional low-frequency/rare variants. We then sought replication of the top findings in 1192 adults (European ancestry) with whole exome/genome sequencing data from 2 independent studies.

RESULTS: At 17q25, we confirmed the association of multiple common variants in , , and (<6×10). We also identified a novel association with 2 low-frequency nonsynonymous variants in (lead, rs34136221; =4.5×10) partially independent of known common signal (=1.4×10). We further identified a locus at 2q33 containing common variants in , , and (lead, rs2351524; =1.9×10). Although our novel findings were not replicated because of limited power and possible differences in study design, meta-analysis of the discovery and replication samples yielded stronger association for the 2 low-frequency variants (=2.8×10).

CONCLUSIONS: Both common and low-frequency/rare functional variants influence WMH. Larger replication and experimental follow-up are essential to confirm our findings and uncover the biological causal mechanisms of age-related WMH.

%B Stroke %8 2018 Jul 12 %G eng %R 10.1161/STROKEAHA.118.020689 %0 Journal Article %J Genome Biol %D 2018 %T Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. %A Prins, Bram P %A Mead, Timothy J %A Brody, Jennifer A %A Sveinbjornsson, Gardar %A Ntalla, Ioanna %A Bihlmeyer, Nathan A %A van den Berg, Marten %A Bork-Jensen, Jette %A Cappellani, Stefania %A Van Duijvenboden, Stefan %A Klena, Nikolai T %A Gabriel, George C %A Liu, Xiaoqin %A Gulec, Cagri %A Grarup, Niels %A Haessler, Jeffrey %A Hall, Leanne M %A Iorio, Annamaria %A Isaacs, Aaron %A Li-Gao, Ruifang %A Lin, Honghuang %A Liu, Ching-Ti %A Lyytikäinen, Leo-Pekka %A Marten, Jonathan %A Mei, Hao %A Müller-Nurasyid, Martina %A Orini, Michele %A Padmanabhan, Sandosh %A Radmanesh, Farid %A Ramirez, Julia %A Robino, Antonietta %A Schwartz, Molly %A van Setten, Jessica %A Smith, Albert V %A Verweij, Niek %A Warren, Helen R %A Weiss, Stefan %A Alonso, Alvaro %A Arnar, David O %A Bots, Michiel L %A de Boer, Rudolf A %A Dominiczak, Anna F %A Eijgelsheim, Mark %A Ellinor, Patrick T %A Guo, Xiuqing %A Felix, Stephan B %A Harris, Tamara B %A Hayward, Caroline %A Heckbert, Susan R %A Huang, Paul L %A Jukema, J W %A Kähönen, Mika %A Kors, Jan A %A Lambiase, Pier D %A Launer, Lenore J %A Li, Man %A Linneberg, Allan %A Nelson, Christopher P %A Pedersen, Oluf %A Perez, Marco %A Peters, Annette %A Polasek, Ozren %A Psaty, Bruce M %A Raitakari, Olli T %A Rice, Kenneth M %A Rotter, Jerome I %A Sinner, Moritz F %A Soliman, Elsayed Z %A Spector, Tim D %A Strauch, Konstantin %A Thorsteinsdottir, Unnur %A Tinker, Andrew %A Trompet, Stella %A Uitterlinden, Andre %A Vaartjes, Ilonca %A van der Meer, Peter %A Völker, Uwe %A Völzke, Henry %A Waldenberger, Melanie %A Wilson, James G %A Xie, Zhijun %A Asselbergs, Folkert W %A Dörr, Marcus %A van Duijn, Cornelia M %A Gasparini, Paolo %A Gudbjartsson, Daniel F %A Gudnason, Vilmundur %A Hansen, Torben %A Kääb, Stefan %A Kanters, Jørgen K %A Kooperberg, Charles %A Lehtimäki, Terho %A Lin, Henry J %A Lubitz, Steven A %A Mook-Kanamori, Dennis O %A Conti, Francesco J %A Newton-Cheh, Christopher H %A Rosand, Jonathan %A Rudan, Igor %A Samani, Nilesh J %A Sinagra, Gianfranco %A Smith, Blair H %A Holm, Hilma %A Stricker, Bruno H %A Ulivi, Sheila %A Sotoodehnia, Nona %A Apte, Suneel S %A van der Harst, Pim %A Stefansson, Kari %A Munroe, Patricia B %A Arking, Dan E %A Lo, Cecilia W %A Jamshidi, Yalda %X

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.

%B Genome Biol %V 19 %P 87 %8 2018 07 17 %G eng %N 1 %R 10.1186/s13059-018-1457-6 %0 Journal Article %J Nat Genet %D 2018 %T Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. %A Evangelou, Evangelos %A Warren, Helen R %A Mosen-Ansorena, David %A Mifsud, Borbala %A Pazoki, Raha %A Gao, He %A Ntritsos, Georgios %A Dimou, Niki %A Cabrera, Claudia P %A Karaman, Ibrahim %A Ng, Fu Liang %A Evangelou, Marina %A Witkowska, Katarzyna %A Tzanis, Evan %A Hellwege, Jacklyn N %A Giri, Ayush %A Velez Edwards, Digna R %A Sun, Yan V %A Cho, Kelly %A Gaziano, J Michael %A Wilson, Peter W F %A Tsao, Philip S %A Kovesdy, Csaba P %A Esko, Tõnu %A Mägi, Reedik %A Milani, Lili %A Almgren, Peter %A Boutin, Thibaud %A Debette, Stephanie %A Ding, Jun %A Giulianini, Franco %A Holliday, Elizabeth G %A Jackson, Anne U %A Li-Gao, Ruifang %A Lin, Wei-Yu %A Luan, Jian'an %A Mangino, Massimo %A Oldmeadow, Christopher %A Prins, Bram Peter %A Qian, Yong %A Sargurupremraj, Muralidharan %A Shah, Nabi %A Surendran, Praveen %A Thériault, Sébastien %A Verweij, Niek %A Willems, Sara M %A Zhao, Jing-Hua %A Amouyel, Philippe %A Connell, John %A de Mutsert, Renée %A Doney, Alex S F %A Farrall, Martin %A Menni, Cristina %A Morris, Andrew D %A Noordam, Raymond %A Paré, Guillaume %A Poulter, Neil R %A Shields, Denis C %A Stanton, Alice %A Thom, Simon %A Abecasis, Goncalo %A Amin, Najaf %A Arking, Dan E %A Ayers, Kristin L %A Barbieri, Caterina M %A Batini, Chiara %A Bis, Joshua C %A Blake, Tineka %A Bochud, Murielle %A Boehnke, Michael %A Boerwinkle, Eric %A Boomsma, Dorret I %A Bottinger, Erwin P %A Braund, Peter S %A Brumat, Marco %A Campbell, Archie %A Campbell, Harry %A Chakravarti, Aravinda %A Chambers, John C %A Chauhan, Ganesh %A Ciullo, Marina %A Cocca, Massimiliano %A Collins, Francis %A Cordell, Heather J %A Davies, Gail %A Borst, Martin H de %A Geus, Eco J de %A Deary, Ian J %A Deelen, Joris %A del Greco M, Fabiola %A Demirkale, Cumhur Yusuf %A Dörr, Marcus %A Ehret, Georg B %A Elosua, Roberto %A Enroth, Stefan %A Erzurumluoglu, A Mesut %A Ferreira, Teresa %A Frånberg, Mattias %A Franco, Oscar H %A Gandin, Ilaria %A Gasparini, Paolo %A Giedraitis, Vilmantas %A Gieger, Christian %A Girotto, Giorgia %A Goel, Anuj %A Gow, Alan J %A Gudnason, Vilmundur %A Guo, Xiuqing %A Gyllensten, Ulf %A Hamsten, Anders %A Harris, Tamara B %A Harris, Sarah E %A Hartman, Catharina A %A Havulinna, Aki S %A Hicks, Andrew A %A Hofer, Edith %A Hofman, Albert %A Hottenga, Jouke-Jan %A Huffman, Jennifer E %A Hwang, Shih-Jen %A Ingelsson, Erik %A James, Alan %A Jansen, Rick %A Jarvelin, Marjo-Riitta %A Joehanes, Roby %A Johansson, Asa %A Johnson, Andrew D %A Joshi, Peter K %A Jousilahti, Pekka %A Jukema, J Wouter %A Jula, Antti %A Kähönen, Mika %A Kathiresan, Sekar %A Keavney, Bernard D %A Khaw, Kay-Tee %A Knekt, Paul %A Knight, Joanne %A Kolcic, Ivana %A Kooner, Jaspal S %A Koskinen, Seppo %A Kristiansson, Kati %A Kutalik, Zoltán %A Laan, Maris %A Larson, Marty %A Launer, Lenore J %A Lehne, Benjamin %A Lehtimäki, Terho %A Liewald, David C M %A Lin, Li %A Lind, Lars %A Lindgren, Cecilia M %A Liu, Yongmei %A Loos, Ruth J F %A Lopez, Lorna M %A Lu, Yingchang %A Lyytikäinen, Leo-Pekka %A Mahajan, Anubha %A Mamasoula, Chrysovalanto %A Marrugat, Jaume %A Marten, Jonathan %A Milaneschi, Yuri %A Morgan, Anna %A Morris, Andrew P %A Morrison, Alanna C %A Munson, Peter J %A Nalls, Mike A %A Nandakumar, Priyanka %A Nelson, Christopher P %A Niiranen, Teemu %A Nolte, Ilja M %A Nutile, Teresa %A Oldehinkel, Albertine J %A Oostra, Ben A %A O'Reilly, Paul F %A Org, Elin %A Padmanabhan, Sandosh %A Palmas, Walter %A Palotie, Aarno %A Pattie, Alison %A Penninx, Brenda W J H %A Perola, Markus %A Peters, Annette %A Polasek, Ozren %A Pramstaller, Peter P %A Nguyen, Quang Tri %A Raitakari, Olli T %A Ren, Meixia %A Rettig, Rainer %A Rice, Kenneth %A Ridker, Paul M %A Ried, Janina S %A Riese, Harriëtte %A Ripatti, Samuli %A Robino, Antonietta %A Rose, Lynda M %A Rotter, Jerome I %A Rudan, Igor %A Ruggiero, Daniela %A Saba, Yasaman %A Sala, Cinzia F %A Salomaa, Veikko %A Samani, Nilesh J %A Sarin, Antti-Pekka %A Schmidt, Reinhold %A Schmidt, Helena %A Shrine, Nick %A Siscovick, David %A Smith, Albert V %A Snieder, Harold %A Sõber, Siim %A Sorice, Rossella %A Starr, John M %A Stott, David J %A Strachan, David P %A Strawbridge, Rona J %A Sundström, Johan %A Swertz, Morris A %A Taylor, Kent D %A Teumer, Alexander %A Tobin, Martin D %A Tomaszewski, Maciej %A Toniolo, Daniela %A Traglia, Michela %A Trompet, Stella %A Tuomilehto, Jaakko %A Tzourio, Christophe %A Uitterlinden, André G %A Vaez, Ahmad %A van der Most, Peter J %A van Duijn, Cornelia M %A Vergnaud, Anne-Claire %A Verwoert, Germaine C %A Vitart, Veronique %A Völker, Uwe %A Vollenweider, Peter %A Vuckovic, Dragana %A Watkins, Hugh %A Wild, Sarah H %A Willemsen, Gonneke %A Wilson, James F %A Wright, Alan F %A Yao, Jie %A Zemunik, Tatijana %A Zhang, Weihua %A Attia, John R %A Butterworth, Adam S %A Chasman, Daniel I %A Conen, David %A Cucca, Francesco %A Danesh, John %A Hayward, Caroline %A Howson, Joanna M M %A Laakso, Markku %A Lakatta, Edward G %A Langenberg, Claudia %A Melander, Olle %A Mook-Kanamori, Dennis O %A Palmer, Colin N A %A Risch, Lorenz %A Scott, Robert A %A Scott, Rodney J %A Sever, Peter %A Spector, Tim D %A van der Harst, Pim %A Wareham, Nicholas J %A Zeggini, Eleftheria %A Levy, Daniel %A Munroe, Patricia B %A Newton-Cheh, Christopher %A Brown, Morris J %A Metspalu, Andres %A Hung, Adriana M %A O'Donnell, Christopher J %A Edwards, Todd L %A Psaty, Bruce M %A Tzoulaki, Ioanna %A Barnes, Michael R %A Wain, Louise V %A Elliott, Paul %A Caulfield, Mark J %X

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.

%B Nat Genet %V 50 %P 1412-1425 %8 2018 Oct %G eng %N 10 %R 10.1038/s41588-018-0205-x %0 Journal Article %J Am J Hum Genet %D 2018 %T Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. %A Ligthart, Symen %A Vaez, Ahmad %A Võsa, Urmo %A Stathopoulou, Maria G %A de Vries, Paul S %A Prins, Bram P %A van der Most, Peter J %A Tanaka, Toshiko %A Naderi, Elnaz %A Rose, Lynda M %A Wu, Ying %A Karlsson, Robert %A Barbalic, Maja %A Lin, Honghuang %A Pool, Rene %A Zhu, Gu %A Mace, Aurelien %A Sidore, Carlo %A Trompet, Stella %A Mangino, Massimo %A Sabater-Lleal, Maria %A Kemp, John P %A Abbasi, Ali %A Kacprowski, Tim %A Verweij, Niek %A Smith, Albert V %A Huang, Tao %A Marzi, Carola %A Feitosa, Mary F %A Lohman, Kurt K %A Kleber, Marcus E %A Milaneschi, Yuri %A Mueller, Christian %A Huq, Mahmudul %A Vlachopoulou, Efthymia %A Lyytikäinen, Leo-Pekka %A Oldmeadow, Christopher %A Deelen, Joris %A Perola, Markus %A Zhao, Jing Hua %A Feenstra, Bjarke %A Amini, Marzyeh %A Lahti, Jari %A Schraut, Katharina E %A Fornage, Myriam %A Suktitipat, Bhoom %A Chen, Wei-Min %A Li, Xiaohui %A Nutile, Teresa %A Malerba, Giovanni %A Luan, Jian'an %A Bak, Tom %A Schork, Nicholas %A del Greco M, Fabiola %A Thiering, Elisabeth %A Mahajan, Anubha %A Marioni, Riccardo E %A Mihailov, Evelin %A Eriksson, Joel %A Ozel, Ayse Bilge %A Zhang, Weihua %A Nethander, Maria %A Cheng, Yu-Ching %A Aslibekyan, Stella %A Ang, Wei %A Gandin, Ilaria %A Yengo, Loic %A Portas, Laura %A Kooperberg, Charles %A Hofer, Edith %A Rajan, Kumar B %A Schurmann, Claudia %A den Hollander, Wouter %A Ahluwalia, Tarunveer S %A Zhao, Jing %A Draisma, Harmen H M %A Ford, Ian %A Timpson, Nicholas %A Teumer, Alexander %A Huang, Hongyan %A Wahl, Simone %A Liu, Yongmei %A Huang, Jie %A Uh, Hae-Won %A Geller, Frank %A Joshi, Peter K %A Yanek, Lisa R %A Trabetti, Elisabetta %A Lehne, Benjamin %A Vozzi, Diego %A Verbanck, Marie %A Biino, Ginevra %A Saba, Yasaman %A Meulenbelt, Ingrid %A O'Connell, Jeff R %A Laakso, Markku %A Giulianini, Franco %A Magnusson, Patrik K E %A Ballantyne, Christie M %A Hottenga, Jouke Jan %A Montgomery, Grant W %A Rivadineira, Fernando %A Rueedi, Rico %A Steri, Maristella %A Herzig, Karl-Heinz %A Stott, David J %A Menni, Cristina %A Frånberg, Mattias %A St Pourcain, Beate %A Felix, Stephan B %A Pers, Tune H %A Bakker, Stephan J L %A Kraft, Peter %A Peters, Annette %A Vaidya, Dhananjay %A Delgado, Graciela %A Smit, Johannes H %A Großmann, Vera %A Sinisalo, Juha %A Seppälä, Ilkka %A Williams, Stephen R %A Holliday, Elizabeth G %A Moed, Matthijs %A Langenberg, Claudia %A Räikkönen, Katri %A Ding, Jingzhong %A Campbell, Harry %A Sale, Michèle M %A Chen, Yii-der I %A James, Alan L %A Ruggiero, Daniela %A Soranzo, Nicole %A Hartman, Catharina A %A Smith, Erin N %A Berenson, Gerald S %A Fuchsberger, Christian %A Hernandez, Dena %A Tiesler, Carla M T %A Giedraitis, Vilmantas %A Liewald, David %A Fischer, Krista %A Mellström, Dan %A Larsson, Anders %A Wang, Yunmei %A Scott, William R %A Lorentzon, Matthias %A Beilby, John %A Ryan, Kathleen A %A Pennell, Craig E %A Vuckovic, Dragana %A Balkau, Beverly %A Concas, Maria Pina %A Schmidt, Reinhold %A Mendes de Leon, Carlos F %A Bottinger, Erwin P %A Kloppenburg, Margreet %A Paternoster, Lavinia %A Boehnke, Michael %A Musk, A W %A Willemsen, Gonneke %A Evans, David M %A Madden, Pamela A F %A Kähönen, Mika %A Kutalik, Zoltán %A Zoledziewska, Magdalena %A Karhunen, Ville %A Kritchevsky, Stephen B %A Sattar, Naveed %A Lachance, Genevieve %A Clarke, Robert %A Harris, Tamara B %A Raitakari, Olli T %A Attia, John R %A van Heemst, Diana %A Kajantie, Eero %A Sorice, Rossella %A Gambaro, Giovanni %A Scott, Robert A %A Hicks, Andrew A %A Ferrucci, Luigi %A Standl, Marie %A Lindgren, Cecilia M %A Starr, John M %A Karlsson, Magnus %A Lind, Lars %A Li, Jun Z %A Chambers, John C %A Mori, Trevor A %A de Geus, Eco J C N %A Heath, Andrew C %A Martin, Nicholas G %A Auvinen, Juha %A Buckley, Brendan M %A de Craen, Anton J M %A Waldenberger, Melanie %A Strauch, Konstantin %A Meitinger, Thomas %A Scott, Rodney J %A McEvoy, Mark %A Beekman, Marian %A Bombieri, Cristina %A Ridker, Paul M %A Mohlke, Karen L %A Pedersen, Nancy L %A Morrison, Alanna C %A Boomsma, Dorret I %A Whitfield, John B %A Strachan, David P %A Hofman, Albert %A Vollenweider, Peter %A Cucca, Francesco %A Jarvelin, Marjo-Riitta %A Jukema, J Wouter %A Spector, Tim D %A Hamsten, Anders %A Zeller, Tanja %A Uitterlinden, André G %A Nauck, Matthias %A Gudnason, Vilmundur %A Qi, Lu %A Grallert, Harald %A Borecki, Ingrid B %A Rotter, Jerome I %A März, Winfried %A Wild, Philipp S %A Lokki, Marja-Liisa %A Boyle, Michael %A Salomaa, Veikko %A Melbye, Mads %A Eriksson, Johan G %A Wilson, James F %A Penninx, Brenda W J H %A Becker, Diane M %A Worrall, Bradford B %A Gibson, Greg %A Krauss, Ronald M %A Ciullo, Marina %A Zaza, Gianluigi %A Wareham, Nicholas J %A Oldehinkel, Albertine J %A Palmer, Lyle J %A Murray, Sarah S %A Pramstaller, Peter P %A Bandinelli, Stefania %A Heinrich, Joachim %A Ingelsson, Erik %A Deary, Ian J %A Mägi, Reedik %A Vandenput, Liesbeth %A van der Harst, Pim %A Desch, Karl C %A Kooner, Jaspal S %A Ohlsson, Claes %A Hayward, Caroline %A Lehtimäki, Terho %A Shuldiner, Alan R %A Arnett, Donna K %A Beilin, Lawrence J %A Robino, Antonietta %A Froguel, Philippe %A Pirastu, Mario %A Jess, Tine %A Koenig, Wolfgang %A Loos, Ruth J F %A Evans, Denis A %A Schmidt, Helena %A Smith, George Davey %A Slagboom, P Eline %A Eiriksdottir, Gudny %A Morris, Andrew P %A Psaty, Bruce M %A Tracy, Russell P %A Nolte, Ilja M %A Boerwinkle, Eric %A Visvikis-Siest, Sophie %A Reiner, Alex P %A Gross, Myron %A Bis, Joshua C %A Franke, Lude %A Franco, Oscar H %A Benjamin, Emelia J %A Chasman, Daniel I %A Dupuis, Josée %A Snieder, Harold %A Dehghan, Abbas %A Alizadeh, Behrooz Z %X

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

%B Am J Hum Genet %V 103 %P 691-706 %8 2018 Nov 01 %G eng %N 5 %R 10.1016/j.ajhg.2018.09.009 %0 Journal Article %J Circulation %D 2018 %T Genome-Wide Association Trans-Ethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels. %A Sabater-Lleal, Maria %A Huffman, Jennifer E %A de Vries, Paul S %A Marten, Jonathan %A Mastrangelo, Michael A %A Song, Ci %A Pankratz, Nathan %A Ward-Caviness, Cavin K %A Yanek, Lisa R %A Trompet, Stella %A Delgado, Graciela E %A Guo, Xiuqing %A Bartz, Traci M %A Martinez-Perez, Angel %A Germain, Marine %A de Haan, Hugoline G %A Ozel, Ayse B %A Polasek, Ozren %A Smith, Albert V %A Eicher, John D %A Reiner, Alex P %A Tang, Weihong %A Davies, Neil M %A Stott, David J %A Rotter, Jerome I %A Tofler, Geoffrey H %A Boerwinkle, Eric %A de Maat, Moniek P M %A Kleber, Marcus E %A Welsh, Paul %A Brody, Jennifer A %A Chen, Ming-Huei %A Vaidya, Dhananjay %A Soria, José Manuel %A Suchon, Pierre %A van Hylckama Vlieg, Astrid %A Desch, Karl C %A Kolcic, Ivana %A Joshi, Peter K %A Launer, Lenore J %A Harris, Tamara B %A Campbell, Harry %A Rudan, Igor %A Becker, Diane M %A Li, Jun Z %A Rivadeneira, Fernando %A Uitterlinden, André G %A Hofman, Albert %A Franco, Oscar H %A Cushman, Mary %A Psaty, Bruce M %A Morange, Pierre-Emmanuel %A McKnight, Barbara %A Chong, Michael R %A Fernandez-Cadenas, Israel %A Rosand, Jonathan %A Lindgren, Arne %A Gudnason, Vilmundur %A Wilson, James F %A Hayward, Caroline %A Ginsburg, David %A Fornage, Myriam %A Rosendaal, Frits R %A Souto, Juan Carlos %A Becker, Lewis C %A Jenny, Nancy S %A März, Winfried %A Jukema, J Wouter %A Dehghan, Abbas %A Trégouët, David-Alexandre %A Morrison, Alanna C %A Johnson, Andrew D %A O'Donnell, Christopher J %A Strachan, David P %A Lowenstein, Charles J %A Smith, Nicholas L %X

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.

%B Circulation %8 2018 Nov 20 %G eng %R 10.1161/CIRCULATIONAHA.118.034532 %0 Journal Article %J Nat Commun %D 2018 %T GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes. %A Franceschini, Nora %A Giambartolomei, Claudia %A de Vries, Paul S %A Finan, Chris %A Bis, Joshua C %A Huntley, Rachael P %A Lovering, Ruth C %A Tajuddin, Salman M %A Winkler, Thomas W %A Graff, Misa %A Kavousi, Maryam %A Dale, Caroline %A Smith, Albert V %A Hofer, Edith %A van Leeuwen, Elisabeth M %A Nolte, Ilja M %A Lu, Lingyi %A Scholz, Markus %A Sargurupremraj, Muralidharan %A Pitkänen, Niina %A Franzén, Oscar %A Joshi, Peter K %A Noordam, Raymond %A Marioni, Riccardo E %A Hwang, Shih-Jen %A Musani, Solomon K %A Schminke, Ulf %A Palmas, Walter %A Isaacs, Aaron %A Correa, Adolfo %A Zonderman, Alan B %A Hofman, Albert %A Teumer, Alexander %A Cox, Amanda J %A Uitterlinden, André G %A Wong, Andrew %A Smit, Andries J %A Newman, Anne B %A Britton, Annie %A Ruusalepp, Arno %A Sennblad, Bengt %A Hedblad, Bo %A Pasaniuc, Bogdan %A Penninx, Brenda W %A Langefeld, Carl D %A Wassel, Christina L %A Tzourio, Christophe %A Fava, Cristiano %A Baldassarre, Damiano %A O'Leary, Daniel H %A Teupser, Daniel %A Kuh, Diana %A Tremoli, Elena %A Mannarino, Elmo %A Grossi, Enzo %A Boerwinkle, Eric %A Schadt, Eric E %A Ingelsson, Erik %A Veglia, Fabrizio %A Rivadeneira, Fernando %A Beutner, Frank %A Chauhan, Ganesh %A Heiss, Gerardo %A Snieder, Harold %A Campbell, Harry %A Völzke, Henry %A Markus, Hugh S %A Deary, Ian J %A Jukema, J Wouter %A de Graaf, Jacqueline %A Price, Jacqueline %A Pott, Janne %A Hopewell, Jemma C %A Liang, Jingjing %A Thiery, Joachim %A Engmann, Jorgen %A Gertow, Karl %A Rice, Kenneth %A Taylor, Kent D %A Dhana, Klodian %A Kiemeney, Lambertus A L M %A Lind, Lars %A Raffield, Laura M %A Launer, Lenore J %A Holdt, Lesca M %A Dörr, Marcus %A Dichgans, Martin %A Traylor, Matthew %A Sitzer, Matthias %A Kumari, Meena %A Kivimaki, Mika %A Nalls, Mike A %A Melander, Olle %A Raitakari, Olli %A Franco, Oscar H %A Rueda-Ochoa, Oscar L %A Roussos, Panos %A Whincup, Peter H %A Amouyel, Philippe %A Giral, Philippe %A Anugu, Pramod %A Wong, Quenna %A Malik, Rainer %A Rauramaa, Rainer %A Burkhardt, Ralph %A Hardy, Rebecca %A Schmidt, Reinhold %A de Mutsert, Renée %A Morris, Richard W %A Strawbridge, Rona J %A Wannamethee, S Goya %A Hägg, Sara %A Shah, Sonia %A McLachlan, Stela %A Trompet, Stella %A Seshadri, Sudha %A Kurl, Sudhir %A Heckbert, Susan R %A Ring, Susan %A Harris, Tamara B %A Lehtimäki, Terho %A Galesloot, Tessel E %A Shah, Tina %A de Faire, Ulf %A Plagnol, Vincent %A Rosamond, Wayne D %A Post, Wendy %A Zhu, Xiaofeng %A Zhang, Xiaoling %A Guo, Xiuqing %A Saba, Yasaman %A Dehghan, Abbas %A Seldenrijk, Adrie %A Morrison, Alanna C %A Hamsten, Anders %A Psaty, Bruce M %A van Duijn, Cornelia M %A Lawlor, Deborah A %A Mook-Kanamori, Dennis O %A Bowden, Donald W %A Schmidt, Helena %A Wilson, James F %A Wilson, James G %A Rotter, Jerome I %A Wardlaw, Joanna M %A Deanfield, John %A Halcox, Julian %A Lyytikäinen, Leo-Pekka %A Loeffler, Markus %A Evans, Michele K %A Debette, Stephanie %A Humphries, Steve E %A Völker, Uwe %A Gudnason, Vilmundur %A Hingorani, Aroon D %A Björkegren, Johan L M %A Casas, Juan P %A O'Donnell, Christopher J %K ADAMTS9 Protein %K Amino Acid Oxidoreductases %K Carotid Intima-Media Thickness %K Coronary Disease %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Lod Score %K Plaque, Atherosclerotic %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %K Risk Factors %X

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.

%B Nat Commun %V 9 %P 5141 %8 2018 12 03 %G eng %N 1 %R 10.1038/s41467-018-07340-5 %0 Journal Article %J Br J Nutr %D 2018 %T Meta-analysis across Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium provides evidence for an association of serum vitamin D with pulmonary function. %A Xu, Jiayi %A Bartz, Traci M %A Chittoor, Geetha %A Eiriksdottir, Gudny %A Manichaikul, Ani W %A Sun, Fangui %A Terzikhan, Natalie %A Zhou, Xia %A Booth, Sarah L %A Brusselle, Guy G %A de Boer, Ian H %A Fornage, Myriam %A Frazier-Wood, Alexis C %A Graff, Mariaelisa %A Gudnason, Vilmundur %A Harris, Tamara B %A Hofman, Albert %A Hou, Ruixue %A Houston, Denise K %A Jacobs, David R %A Kritchevsky, Stephen B %A Latourelle, Jeanne %A Lemaitre, Rozenn N %A Lutsey, Pamela L %A O'Connor, George %A Oelsner, Elizabeth C %A Pankow, James S %A Psaty, Bruce M %A Rohde, Rebecca R %A Rich, Stephen S %A Rotter, Jerome I %A Smith, Lewis J %A Stricker, Bruno H %A Voruganti, V Saroja %A Wang, Thomas J %A Zillikens, M Carola %A Barr, R Graham %A Dupuis, Josée %A Gharib, Sina A %A Lahousse, Lies %A London, Stephanie J %A North, Kari E %A Smith, Albert V %A Steffen, Lyn M %A Hancock, Dana B %A Cassano, Patricia A %X

The role that vitamin D plays in pulmonary function remains uncertain. Epidemiological studies reported mixed findings for serum 25-hydroxyvitamin D (25(OH)D)-pulmonary function association. We conducted the largest cross-sectional meta-analysis of the 25(OH)D-pulmonary function association to date, based on nine European ancestry (EA) cohorts (n 22 838) and five African ancestry (AA) cohorts (n 4290) in the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium. Data were analysed using linear models by cohort and ancestry. Effect modification by smoking status (current/former/never) was tested. Results were combined using fixed-effects meta-analysis. Mean serum 25(OH)D was 68 (sd 29) nmol/l for EA and 49 (sd 21) nmol/l for AA. For each 1 nmol/l higher 25(OH)D, forced expiratory volume in the 1st second (FEV1) was higher by 1·1 ml in EA (95 % CI 0·9, 1·3; P<0·0001) and 1·8 ml (95 % CI 1·1, 2·5; P<0·0001) in AA (P race difference=0·06), and forced vital capacity (FVC) was higher by 1·3 ml in EA (95 % CI 1·0, 1·6; P<0·0001) and 1·5 ml (95 % CI 0·8, 2·3; P=0·0001) in AA (P race difference=0·56). Among EA, the 25(OH)D-FVC association was stronger in smokers: per 1 nmol/l higher 25(OH)D, FVC was higher by 1·7 ml (95 % CI 1·1, 2·3) for current smokers and 1·7 ml (95 % CI 1·2, 2·1) for former smokers, compared with 0·8 ml (95 % CI 0·4, 1·2) for never smokers. In summary, the 25(OH)D associations with FEV1 and FVC were positive in both ancestries. In EA, a stronger association was observed for smokers compared with never smokers, which supports the importance of vitamin D in vulnerable populations.

%B Br J Nutr %P 1-12 %8 2018 Sep 12 %G eng %R 10.1017/S0007114518002180 %0 Journal Article %J Wellcome Open Res %D 2018 %T Meta-analysis of exome array data identifies six novel genetic loci for lung function. %A Jackson, Victoria E %A Latourelle, Jeanne C %A Wain, Louise V %A Smith, Albert V %A Grove, Megan L %A Bartz, Traci M %A Obeidat, Ma'en %A Province, Michael A %A Gao, Wei %A Qaiser, Beenish %A Porteous, David J %A Cassano, Patricia A %A Ahluwalia, Tarunveer S %A Grarup, Niels %A Li, Jin %A Altmaier, Elisabeth %A Marten, Jonathan %A Harris, Sarah E %A Manichaikul, Ani %A Pottinger, Tess D %A Li-Gao, Ruifang %A Lind-Thomsen, Allan %A Mahajan, Anubha %A Lahousse, Lies %A Imboden, Medea %A Teumer, Alexander %A Prins, Bram %A Lyytikäinen, Leo-Pekka %A Eiriksdottir, Gudny %A Franceschini, Nora %A Sitlani, Colleen M %A Brody, Jennifer A %A Bossé, Yohan %A Timens, Wim %A Kraja, Aldi %A Loukola, Anu %A Tang, Wenbo %A Liu, Yongmei %A Bork-Jensen, Jette %A Justesen, Johanne M %A Linneberg, Allan %A Lange, Leslie A %A Rawal, Rajesh %A Karrasch, Stefan %A Huffman, Jennifer E %A Smith, Blair H %A Davies, Gail %A Burkart, Kristin M %A Mychaleckyj, Josyf C %A Bonten, Tobias N %A Enroth, Stefan %A Lind, Lars %A Brusselle, Guy G %A Kumar, Ashish %A Stubbe, Beate %A Kähönen, Mika %A Wyss, Annah B %A Psaty, Bruce M %A Heckbert, Susan R %A Hao, Ke %A Rantanen, Taina %A Kritchevsky, Stephen B %A Lohman, Kurt %A Skaaby, Tea %A Pisinger, Charlotta %A Hansen, Torben %A Schulz, Holger %A Polasek, Ozren %A Campbell, Archie %A Starr, John M %A Rich, Stephen S %A Mook-Kanamori, Dennis O %A Johansson, Asa %A Ingelsson, Erik %A Uitterlinden, André G %A Weiss, Stefan %A Raitakari, Olli T %A Gudnason, Vilmundur %A North, Kari E %A Gharib, Sina A %A Sin, Don D %A Taylor, Kent D %A O'Connor, George T %A Kaprio, Jaakko %A Harris, Tamara B %A Pederson, Oluf %A Vestergaard, Henrik %A Wilson, James G %A Strauch, Konstantin %A Hayward, Caroline %A Kerr, Shona %A Deary, Ian J %A Barr, R Graham %A de Mutsert, Renée %A Gyllensten, Ulf %A Morris, Andrew P %A Ikram, M Arfan %A Probst-Hensch, Nicole %A Gläser, Sven %A Zeggini, Eleftheria %A Lehtimäki, Terho %A Strachan, David P %A Dupuis, Josée %A Morrison, Alanna C %A Hall, Ian P %A Tobin, Martin D %A London, Stephanie J %X

Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV ), forced vital capacity (FVC) and the ratio of FEV to FVC (FEV /FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. We identified significant (P<2·8x10 ) associations with six SNPs: a nonsynonymous variant in , which is predicted to be damaging, three intronic SNPs ( and ) and two intergenic SNPs near to and Expression quantitative trait loci analyses found evidence for regulation of gene expression at three signals and implicated several genes, including and . Further interrogation of these loci could provide greater understanding of the determinants of lung function and pulmonary disease.

%B Wellcome Open Res %V 3 %P 4 %8 2018 %G eng %R 10.12688/wellcomeopenres.12583.3 %0 Journal Article %J Nat Genet %D 2018 %T Multi-ethnic genome-wide association study for atrial fibrillation. %A Roselli, Carolina %A Chaffin, Mark D %A Weng, Lu-Chen %A Aeschbacher, Stefanie %A Ahlberg, Gustav %A Albert, Christine M %A Almgren, Peter %A Alonso, Alvaro %A Anderson, Christopher D %A Aragam, Krishna G %A Arking, Dan E %A Barnard, John %A Bartz, Traci M %A Benjamin, Emelia J %A Bihlmeyer, Nathan A %A Bis, Joshua C %A Bloom, Heather L %A Boerwinkle, Eric %A Bottinger, Erwin B %A Brody, Jennifer A %A Calkins, Hugh %A Campbell, Archie %A Cappola, Thomas P %A Carlquist, John %A Chasman, Daniel I %A Chen, Lin Y %A Chen, Yii-Der Ida %A Choi, Eue-Keun %A Choi, Seung Hoan %A Christophersen, Ingrid E %A Chung, Mina K %A Cole, John W %A Conen, David %A Cook, James %A Crijns, Harry J %A Cutler, Michael J %A Damrauer, Scott M %A Daniels, Brian R %A Darbar, Dawood %A Delgado, Graciela %A Denny, Joshua C %A Dichgans, Martin %A Dörr, Marcus %A Dudink, Elton A %A Dudley, Samuel C %A Esa, Nada %A Esko, Tõnu %A Eskola, Markku %A Fatkin, Diane %A Felix, Stephan B %A Ford, Ian %A Franco, Oscar H %A Geelhoed, Bastiaan %A Grewal, Raji P %A Gudnason, Vilmundur %A Guo, Xiuqing %A Gupta, Namrata %A Gustafsson, Stefan %A Gutmann, Rebecca %A Hamsten, Anders %A Harris, Tamara B %A Hayward, Caroline %A Heckbert, Susan R %A Hernesniemi, Jussi %A Hocking, Lynne J %A Hofman, Albert %A Horimoto, Andrea R V R %A Huang, Jie %A Huang, Paul L %A Huffman, Jennifer %A Ingelsson, Erik %A Ipek, Esra Gucuk %A Ito, Kaoru %A Jimenez-Conde, Jordi %A Johnson, Renee %A Jukema, J Wouter %A Kääb, Stefan %A Kähönen, Mika %A Kamatani, Yoichiro %A Kane, John P %A Kastrati, Adnan %A Kathiresan, Sekar %A Katschnig-Winter, Petra %A Kavousi, Maryam %A Kessler, Thorsten %A Kietselaer, Bas L %A Kirchhof, Paulus %A Kleber, Marcus E %A Knight, Stacey %A Krieger, Jose E %A Kubo, Michiaki %A Launer, Lenore J %A Laurikka, Jari %A Lehtimäki, Terho %A Leineweber, Kirsten %A Lemaitre, Rozenn N %A Li, Man %A Lim, Hong Euy %A Lin, Henry J %A Lin, Honghuang %A Lind, Lars %A Lindgren, Cecilia M %A Lokki, Marja-Liisa %A London, Barry %A Loos, Ruth J F %A Low, Siew-Kee %A Lu, Yingchang %A Lyytikäinen, Leo-Pekka %A Macfarlane, Peter W %A Magnusson, Patrik K %A Mahajan, Anubha %A Malik, Rainer %A Mansur, Alfredo J %A Marcus, Gregory M %A Margolin, Lauren %A Margulies, Kenneth B %A März, Winfried %A McManus, David D %A Melander, Olle %A Mohanty, Sanghamitra %A Montgomery, Jay A %A Morley, Michael P %A Morris, Andrew P %A Müller-Nurasyid, Martina %A Natale, Andrea %A Nazarian, Saman %A Neumann, Benjamin %A Newton-Cheh, Christopher %A Niemeijer, Maartje N %A Nikus, Kjell %A Nilsson, Peter %A Noordam, Raymond %A Oellers, Heidi %A Olesen, Morten S %A Orho-Melander, Marju %A Padmanabhan, Sandosh %A Pak, Hui-Nam %A Paré, Guillaume %A Pedersen, Nancy L %A Pera, Joanna %A Pereira, Alexandre %A Porteous, David %A Psaty, Bruce M %A Pulit, Sara L %A Pullinger, Clive R %A Rader, Daniel J %A Refsgaard, Lena %A Ribasés, Marta %A Ridker, Paul M %A Rienstra, Michiel %A Risch, Lorenz %A Roden, Dan M %A Rosand, Jonathan %A Rosenberg, Michael A %A Rost, Natalia %A Rotter, Jerome I %A Saba, Samir %A Sandhu, Roopinder K %A Schnabel, Renate B %A Schramm, Katharina %A Schunkert, Heribert %A Schurman, Claudia %A Scott, Stuart A %A Seppälä, Ilkka %A Shaffer, Christian %A Shah, Svati %A Shalaby, Alaa A %A Shim, Jaemin %A Shoemaker, M Benjamin %A Siland, Joylene E %A Sinisalo, Juha %A Sinner, Moritz F %A Slowik, Agnieszka %A Smith, Albert V %A Smith, Blair H %A Smith, J Gustav %A Smith, Jonathan D %A Smith, Nicholas L %A Soliman, Elsayed Z %A Sotoodehnia, Nona %A Stricker, Bruno H %A Sun, Albert %A Sun, Han %A Svendsen, Jesper H %A Tanaka, Toshihiro %A Tanriverdi, Kahraman %A Taylor, Kent D %A Teder-Laving, Maris %A Teumer, Alexander %A Thériault, Sébastien %A Trompet, Stella %A Tucker, Nathan R %A Tveit, Arnljot %A Uitterlinden, André G %A van der Harst, Pim %A Van Gelder, Isabelle C %A Van Wagoner, David R %A Verweij, Niek %A Vlachopoulou, Efthymia %A Völker, Uwe %A Wang, Biqi %A Weeke, Peter E %A Weijs, Bob %A Weiss, Raul %A Weiss, Stefan %A Wells, Quinn S %A Wiggins, Kerri L %A Wong, Jorge A %A Woo, Daniel %A Worrall, Bradford B %A Yang, Pil-Sung %A Yao, Jie %A Yoneda, Zachary T %A Zeller, Tanja %A Zeng, Lingyao %A Lubitz, Steven A %A Lunetta, Kathryn L %A Ellinor, Patrick T %X

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.

%B Nat Genet %V 50 %P 1225-1233 %8 2018 Sep %G eng %N 9 %R 10.1038/s41588-018-0133-9 %0 Journal Article %J PLoS One %D 2018 %T Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries. %A Feitosa, Mary F %A Kraja, Aldi T %A Chasman, Daniel I %A Sung, Yun J %A Winkler, Thomas W %A Ntalla, Ioanna %A Guo, Xiuqing %A Franceschini, Nora %A Cheng, Ching-Yu %A Sim, Xueling %A Vojinovic, Dina %A Marten, Jonathan %A Musani, Solomon K %A Li, Changwei %A Bentley, Amy R %A Brown, Michael R %A Schwander, Karen %A Richard, Melissa A %A Noordam, Raymond %A Aschard, Hugues %A Bartz, Traci M %A Bielak, Lawrence F %A Dorajoo, Rajkumar %A Fisher, Virginia %A Hartwig, Fernando P %A Horimoto, Andrea R V R %A Lohman, Kurt K %A Manning, Alisa K %A Rankinen, Tuomo %A Smith, Albert V %A Tajuddin, Salman M %A Wojczynski, Mary K %A Alver, Maris %A Boissel, Mathilde %A Cai, Qiuyin %A Campbell, Archie %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Gao, Chuan %A Goel, Anuj %A Hagemeijer, Yanick %A Harris, Sarah E %A He, Meian %A Hsu, Fang-Chi %A Jackson, Anne U %A Kähönen, Mika %A Kasturiratne, Anuradhani %A Komulainen, Pirjo %A Kuhnel, Brigitte %A Laguzzi, Federica %A Luan, Jian'an %A Matoba, Nana %A Nolte, Ilja M %A Padmanabhan, Sandosh %A Riaz, Muhammad %A Rueedi, Rico %A Robino, Antonietta %A Said, M Abdullah %A Scott, Robert A %A Sofer, Tamar %A Stančáková, Alena %A Takeuchi, Fumihiko %A Tayo, Bamidele O %A van der Most, Peter J %A Varga, Tibor V %A Vitart, Veronique %A Wang, Yajuan %A Ware, Erin B %A Warren, Helen R %A Weiss, Stefan %A Wen, Wanqing %A Yanek, Lisa R %A Zhang, Weihua %A Zhao, Jing Hua %A Afaq, Saima %A Amin, Najaf %A Amini, Marzyeh %A Arking, Dan E %A Aung, Tin %A Boerwinkle, Eric %A Borecki, Ingrid %A Broeckel, Ulrich %A Brown, Morris %A Brumat, Marco %A Burke, Gregory L %A Canouil, Mickaël %A Chakravarti, Aravinda %A Charumathi, Sabanayagam %A Ida Chen, Yii-Der %A Connell, John M %A Correa, Adolfo %A de Las Fuentes, Lisa %A de Mutsert, Renée %A de Silva, H Janaka %A Deng, Xuan %A Ding, Jingzhong %A Duan, Qing %A Eaton, Charles B %A Ehret, Georg %A Eppinga, Ruben N %A Evangelou, Evangelos %A Faul, Jessica D %A Felix, Stephan B %A Forouhi, Nita G %A Forrester, Terrence %A Franco, Oscar H %A Friedlander, Yechiel %A Gandin, Ilaria %A Gao, He %A Ghanbari, Mohsen %A Gigante, Bruna %A Gu, C Charles %A Gu, Dongfeng %A Hagenaars, Saskia P %A Hallmans, Göran %A Harris, Tamara B %A He, Jiang %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hirata, Makoto %A Howard, Barbara V %A Ikram, M Arfan %A John, Ulrich %A Katsuya, Tomohiro %A Khor, Chiea Chuen %A Kilpeläinen, Tuomas O %A Koh, Woon-Puay %A Krieger, Jose E %A Kritchevsky, Stephen B %A Kubo, Michiaki %A Kuusisto, Johanna %A Lakka, Timo A %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lehne, Benjamin %A Lewis, Cora E %A Li, Yize %A Lin, Shiow %A Liu, Jianjun %A Liu, Jingmin %A Loh, Marie %A Louie, Tin %A Mägi, Reedik %A McKenzie, Colin A %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A Milani, Lili %A Mohlke, Karen L %A Momozawa, Yukihide %A Nalls, Mike A %A Nelson, Christopher P %A Sotoodehnia, Nona %A Norris, Jill M %A O'Connell, Jeff R %A Palmer, Nicholette D %A Perls, Thomas %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Poulter, Neil %A Raffel, Leslie J %A Raitakari, Olli T %A Roll, Kathryn %A Rose, Lynda M %A Rosendaal, Frits R %A Rotter, Jerome I %A Schmidt, Carsten O %A Schreiner, Pamela J %A Schupf, Nicole %A Scott, William R %A Sever, Peter S %A Shi, Yuan %A Sidney, Stephen %A Sims, Mario %A Sitlani, Colleen M %A Smith, Jennifer A %A Snieder, Harold %A Starr, John M %A Strauch, Konstantin %A Stringham, Heather M %A Tan, Nicholas Y Q %A Tang, Hua %A Taylor, Kent D %A Teo, Yik Ying %A Tham, Yih Chung %A Turner, Stephen T %A Uitterlinden, André G %A Vollenweider, Peter %A Waldenberger, Melanie %A Wang, Lihua %A Wang, Ya Xing %A Wei, Wen Bin %A Williams, Christine %A Yao, Jie %A Yu, Caizheng %A Yuan, Jian-Min %A Zhao, Wei %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A Chambers, John C %A Deary, Ian J %A Esko, Tõnu %A Farrall, Martin %A Franks, Paul W %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Jonas, Jost Bruno %A Kamatani, Yoichiro %A Kato, Norihiro %A Kooner, Jaspal S %A Kutalik, Zoltán %A Laakso, Markku %A Laurie, Cathy C %A Leander, Karin %A Lehtimäki, Terho %A Study, Lifelines Cohort %A Magnusson, Patrik K E %A Oldehinkel, Albertine J %A Penninx, Brenda W J H %A Polasek, Ozren %A Porteous, David J %A Rauramaa, Rainer %A Samani, Nilesh J %A Scott, James %A Shu, Xiao-Ou %A van der Harst, Pim %A Wagenknecht, Lynne E %A Wareham, Nicholas J %A Watkins, Hugh %A Weir, David R %A Wickremasinghe, Ananda R %A Wu, Tangchun %A Zheng, Wei %A Bouchard, Claude %A Christensen, Kaare %A Evans, Michele K %A Gudnason, Vilmundur %A Horta, Bernardo L %A Kardia, Sharon L R %A Liu, Yongmei %A Pereira, Alexandre C %A Psaty, Bruce M %A Ridker, Paul M %A van Dam, Rob M %A Gauderman, W James %A Zhu, Xiaofeng %A Mook-Kanamori, Dennis O %A Fornage, Myriam %A Rotimi, Charles N %A Cupples, L Adrienne %A Kelly, Tanika N %A Fox, Ervin R %A Hayward, Caroline %A van Duijn, Cornelia M %A Tai, E Shyong %A Wong, Tien Yin %A Kooperberg, Charles %A Palmas, Walter %A Rice, Kenneth %A Morrison, Alanna C %A Elliott, Paul %A Caulfield, Mark J %A Munroe, Patricia B %A Rao, Dabeeru C %A Province, Michael A %A Levy, Daniel %X

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.

%B PLoS One %V 13 %P e0198166 %8 2018 %G eng %N 6 %R 10.1371/journal.pone.0198166 %0 Journal Article %J Am J Respir Crit Care Med %D 2018 %T Omega-3 Fatty Acids and Genome-wide Interaction Analyses Reveal DPP10-Pulmonary Function Association. %A Xu, Jiayi %A Gaddis, Nathan C %A Bartz, Traci M %A Hou, Ruixue %A Manichaikul, Ani W %A Pankratz, Nathan %A Smith, Albert V %A Sun, Fangui %A Terzikhan, Natalie %A Markunas, Christina A %A Patchen, Bonnie K %A Schu, Matthew %A Beydoun, May A %A Brusselle, Guy G %A Eiriksdottir, Gudny %A Zhou, Xia %A Wood, Alexis C %A Graff, Mariaelisa %A Harris, Tamara B %A Ikram, M Arfan %A Jacobs, David R %A Launer, Lenore J %A Lemaitre, Rozenn N %A O'Connor, George %A Oelsner, Elizabeth C %A Psaty, Bruce M %A Ramachandran, Vasan S %A Rohde, Rebecca R %A Rich, Stephen S %A Rotter, Jerome I %A Seshadri, Sudha %A Smith, Lewis J %A Tiemeier, Henning %A Tsai, Michael Y %A Uitterlinden, André G %A Voruganti, V Saroja %A Xu, Hanfei %A Zilhão, Nuno R %A Fornage, Myriam %A Zillikens, M Carola %A London, Stephanie J %A Barr, R Graham %A Dupuis, Josée %A Gharib, Sina A %A Gudnason, Vilmundur %A Lahousse, Lies %A North, Kari E %A Steffen, Lyn M %A Cassano, Patricia A %A Hancock, Dana B %X

RATIONALE: Omega-3 poly-unsaturated fatty acids (n-3 PUFAs) have anti-inflammatory properties that could benefit adults with comprised pulmonary health.

OBJECTIVE: To investigate n-3 PUFA associations with spirometric measures of pulmonary function tests (PFTs) and determine underlying genetic susceptibility.

METHODS: Associations of n-3 PUFA biomarkers (alpha-linolenic acid, eicosapentaenoic acid, docosapentaenoic acid [DPA], and docosahexaenoic acid [DHA]) were evaluated with PFTs (forced expiratory volume in the first second [FEV], forced vital capacity [FVC], and [FEV/FVC]) in meta-analyses across seven cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (N=16,134 of European or African ancestry). PFT-associated n-3 PUFAs were carried forward to genome-wide interaction analyses in the four largest cohorts (N=11,962) and replicated in one cohort (N=1,687). Cohort-specific results were combined using joint 2 degree-of-freedom (2df) meta-analyses of single nucleotide polymorphism (SNP) associations and their interactions with n-3 PUFAs.

RESULTS: DPA and DHA were positively associated with FEV1 and FVC (P<0.025), with evidence for effect modification by smoking and by sex. Genome-wide analyses identified a novel association of rs11693320-an intronic DPP10 SNP-with FVC when incorporating an interaction with DHA, and the finding was replicated (P=9.4×10 across discovery and replication cohorts). The rs11693320-A allele (frequency~80%) was associated with lower FVC (P=2.1×10; β= -161.0mL), and the association was attenuated by higher DHA levels (P=2.1×10; β=36.2mL).

CONCLUSIONS: We corroborated beneficial effects of n-3 PUFAs on pulmonary function. By modeling genome-wide n-3 PUFA interactions, we identified a novel DPP10 SNP association with FVC that was not detectable in much larger studies ignoring this interaction.

%B Am J Respir Crit Care Med %8 2018 Sep 10 %G eng %R 10.1164/rccm.201802-0304OC %0 Journal Article %J Nat Commun %D 2018 %T PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity. %A van Setten, Jessica %A Brody, Jennifer A %A Jamshidi, Yalda %A Swenson, Brenton R %A Butler, Anne M %A Campbell, Harry %A Del Greco, Fabiola M %A Evans, Daniel S %A Gibson, Quince %A Gudbjartsson, Daniel F %A Kerr, Kathleen F %A Krijthe, Bouwe P %A Lyytikäinen, Leo-Pekka %A Müller, Christian %A Müller-Nurasyid, Martina %A Nolte, Ilja M %A Padmanabhan, Sandosh %A Ritchie, Marylyn D %A Robino, Antonietta %A Smith, Albert V %A Steri, Maristella %A Tanaka, Toshiko %A Teumer, Alexander %A Trompet, Stella %A Ulivi, Sheila %A Verweij, Niek %A Yin, Xiaoyan %A Arnar, David O %A Asselbergs, Folkert W %A Bader, Joel S %A Barnard, John %A Bis, Josh %A Blankenberg, Stefan %A Boerwinkle, Eric %A Bradford, Yuki %A Buckley, Brendan M %A Chung, Mina K %A Crawford, Dana %A den Hoed, Marcel %A Denny, Josh C %A Dominiczak, Anna F %A Ehret, Georg B %A Eijgelsheim, Mark %A Ellinor, Patrick T %A Felix, Stephan B %A Franco, Oscar H %A Franke, Lude %A Harris, Tamara B %A Holm, Hilma %A Ilaria, Gandin %A Iorio, Annamaria %A Kähönen, Mika %A Kolcic, Ivana %A Kors, Jan A %A Lakatta, Edward G %A Launer, Lenore J %A Lin, Honghuang %A Lin, Henry J %A Loos, Ruth J F %A Lubitz, Steven A %A Macfarlane, Peter W %A Magnani, Jared W %A Leach, Irene Mateo %A Meitinger, Thomas %A Mitchell, Braxton D %A Münzel, Thomas %A Papanicolaou, George J %A Peters, Annette %A Pfeufer, Arne %A Pramstaller, Peter P %A Raitakari, Olli T %A Rotter, Jerome I %A Rudan, Igor %A Samani, Nilesh J %A Schlessinger, David %A Silva Aldana, Claudia T %A Sinner, Moritz F %A Smith, Jonathan D %A Snieder, Harold %A Soliman, Elsayed Z %A Spector, Timothy D %A Stott, David J %A Strauch, Konstantin %A Tarasov, Kirill V %A Thorsteinsdottir, Unnur %A Uitterlinden, André G %A Van Wagoner, David R %A Völker, Uwe %A Völzke, Henry %A Waldenberger, Melanie %A Jan Westra, Harm %A Wild, Philipp S %A Zeller, Tanja %A Alonso, Alvaro %A Avery, Christy L %A Bandinelli, Stefania %A Benjamin, Emelia J %A Cucca, Francesco %A Dörr, Marcus %A Ferrucci, Luigi %A Gasparini, Paolo %A Gudnason, Vilmundur %A Hayward, Caroline %A Heckbert, Susan R %A Hicks, Andrew A %A Jukema, J Wouter %A Kääb, Stefan %A Lehtimäki, Terho %A Liu, Yongmei %A Munroe, Patricia B %A Parsa, Afshin %A Polasek, Ozren %A Psaty, Bruce M %A Roden, Dan M %A Schnabel, Renate B %A Sinagra, Gianfranco %A Stefansson, Kari %A Stricker, Bruno H %A van der Harst, Pim %A van Duijn, Cornelia M %A Wilson, James F %A Gharib, Sina A %A de Bakker, Paul I W %A Isaacs, Aaron %A Arking, Dan E %A Sotoodehnia, Nona %X

Electrocardiographic PR interval measures atrio-ventricular depolarization and conduction, and abnormal PR interval is a risk factor for atrial fibrillation and heart block. Our genome-wide association study of over 92,000 European-descent individuals identifies 44 PR interval loci (34 novel). Examination of these loci reveals known and previously not-yet-reported biological processes involved in cardiac atrial electrical activity. Genes in these loci are over-represented in cardiac disease processes including heart block and atrial fibrillation. Variants in over half of the 44 loci were associated with atrial or blood transcript expression levels, or were in high linkage disequilibrium with missense variants. Six additional loci were identified either by meta-analysis of ~105,000 African and European-descent individuals and/or by pleiotropic analyses combining PR interval with heart rate, QRS interval, and atrial fibrillation. These findings implicate developmental pathways, and identify transcription factors, ion-channel genes, and cell-junction/cell-signaling proteins in atrio-ventricular conduction, identifying potential targets for drug development.

%B Nat Commun %V 9 %P 2904 %8 2018 Jul 25 %G eng %N 1 %R 10.1038/s41467-018-04766-9 %0 Journal Article %J Nat Commun %D 2018 %T Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. %A Davies, Gail %A Lam, Max %A Harris, Sarah E %A Trampush, Joey W %A Luciano, Michelle %A Hill, W David %A Hagenaars, Saskia P %A Ritchie, Stuart J %A Marioni, Riccardo E %A Fawns-Ritchie, Chloe %A Liewald, David C M %A Okely, Judith A %A Ahola-Olli, Ari V %A Barnes, Catriona L K %A Bertram, Lars %A Bis, Joshua C %A Burdick, Katherine E %A Christoforou, Andrea %A DeRosse, Pamela %A Djurovic, Srdjan %A Espeseth, Thomas %A Giakoumaki, Stella %A Giddaluru, Sudheer %A Gustavson, Daniel E %A Hayward, Caroline %A Hofer, Edith %A Ikram, M Arfan %A Karlsson, Robert %A Knowles, Emma %A Lahti, Jari %A Leber, Markus %A Li, Shuo %A Mather, Karen A %A Melle, Ingrid %A Morris, Derek %A Oldmeadow, Christopher %A Palviainen, Teemu %A Payton, Antony %A Pazoki, Raha %A Petrovic, Katja %A Reynolds, Chandra A %A Sargurupremraj, Muralidharan %A Scholz, Markus %A Smith, Jennifer A %A Smith, Albert V %A Terzikhan, Natalie %A Thalamuthu, Anbupalam %A Trompet, Stella %A van der Lee, Sven J %A Ware, Erin B %A Windham, B Gwen %A Wright, Margaret J %A Yang, Jingyun %A Yu, Jin %A Ames, David %A Amin, Najaf %A Amouyel, Philippe %A Andreassen, Ole A %A Armstrong, Nicola J %A Assareh, Amelia A %A Attia, John R %A Attix, Deborah %A Avramopoulos, Dimitrios %A Bennett, David A %A Böhmer, Anne C %A Boyle, Patricia A %A Brodaty, Henry %A Campbell, Harry %A Cannon, Tyrone D %A Cirulli, Elizabeth T %A Congdon, Eliza %A Conley, Emily Drabant %A Corley, Janie %A Cox, Simon R %A Dale, Anders M %A Dehghan, Abbas %A Dick, Danielle %A Dickinson, Dwight %A Eriksson, Johan G %A Evangelou, Evangelos %A Faul, Jessica D %A Ford, Ian %A Freimer, Nelson A %A Gao, He %A Giegling, Ina %A Gillespie, Nathan A %A Gordon, Scott D %A Gottesman, Rebecca F %A Griswold, Michael E %A Gudnason, Vilmundur %A Harris, Tamara B %A Hartmann, Annette M %A Hatzimanolis, Alex %A Heiss, Gerardo %A Holliday, Elizabeth G %A Joshi, Peter K %A Kähönen, Mika %A Kardia, Sharon L R %A Karlsson, Ida %A Kleineidam, Luca %A Knopman, David S %A Kochan, Nicole A %A Konte, Bettina %A Kwok, John B %A Le Hellard, Stephanie %A Lee, Teresa %A Lehtimäki, Terho %A Li, Shu-Chen %A Liu, Tian %A Koini, Marisa %A London, Edythe %A Longstreth, Will T %A Lopez, Oscar L %A Loukola, Anu %A Luck, Tobias %A Lundervold, Astri J %A Lundquist, Anders %A Lyytikäinen, Leo-Pekka %A Martin, Nicholas G %A Montgomery, Grant W %A Murray, Alison D %A Need, Anna C %A Noordam, Raymond %A Nyberg, Lars %A Ollier, William %A Papenberg, Goran %A Pattie, Alison %A Polasek, Ozren %A Poldrack, Russell A %A Psaty, Bruce M %A Reppermund, Simone %A Riedel-Heller, Steffi G %A Rose, Richard J %A Rotter, Jerome I %A Roussos, Panos %A Rovio, Suvi P %A Saba, Yasaman %A Sabb, Fred W %A Sachdev, Perminder S %A Satizabal, Claudia L %A Schmid, Matthias %A Scott, Rodney J %A Scult, Matthew A %A Simino, Jeannette %A Slagboom, P Eline %A Smyrnis, Nikolaos %A Soumaré, Aïcha %A Stefanis, Nikos C %A Stott, David J %A Straub, Richard E %A Sundet, Kjetil %A Taylor, Adele M %A Taylor, Kent D %A Tzoulaki, Ioanna %A Tzourio, Christophe %A Uitterlinden, Andre %A Vitart, Veronique %A Voineskos, Aristotle N %A Kaprio, Jaakko %A Wagner, Michael %A Wagner, Holger %A Weinhold, Leonie %A Wen, K Hoyan %A Widen, Elisabeth %A Yang, Qiong %A Zhao, Wei %A Adams, Hieab H H %A Arking, Dan E %A Bilder, Robert M %A Bitsios, Panos %A Boerwinkle, Eric %A Chiba-Falek, Ornit %A Corvin, Aiden %A De Jager, Philip L %A Debette, Stephanie %A Donohoe, Gary %A Elliott, Paul %A Fitzpatrick, Annette L %A Gill, Michael %A Glahn, David C %A Hägg, Sara %A Hansell, Narelle K %A Hariri, Ahmad R %A Ikram, M Kamran %A Jukema, J Wouter %A Vuoksimaa, Eero %A Keller, Matthew C %A Kremen, William S %A Launer, Lenore %A Lindenberger, Ulman %A Palotie, Aarno %A Pedersen, Nancy L %A Pendleton, Neil %A Porteous, David J %A Räikkönen, Katri %A Raitakari, Olli T %A Ramirez, Alfredo %A Reinvang, Ivar %A Rudan, Igor %A Schmidt, Reinhold %A Schmidt, Helena %A Schofield, Peter W %A Schofield, Peter R %A Starr, John M %A Steen, Vidar M %A Trollor, Julian N %A Turner, Steven T %A van Duijn, Cornelia M %A Villringer, Arno %A Weinberger, Daniel R %A Weir, David R %A Wilson, James F %A Malhotra, Anil %A McIntosh, Andrew M %A Gale, Catharine R %A Seshadri, Sudha %A Mosley, Thomas H %A Bressler, Jan %A Lencz, Todd %A Deary, Ian J %X

General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 × 10) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.

%B Nat Commun %V 9 %P 2098 %8 2018 May 29 %G eng %N 1 %R 10.1038/s41467-018-04362-x %0 Journal Article %J JAMA Cardiol %D 2019 %T Assessment of the Relationship Between Genetic Determinants of Thyroid Function and Atrial Fibrillation: A Mendelian Randomization Study. %A Ellervik, Christina %A Roselli, Carolina %A Christophersen, Ingrid E %A Alonso, Alvaro %A Pietzner, Maik %A Sitlani, Collen M %A Trompet, Stella %A Arking, Dan E %A Geelhoed, Bastiaan %A Guo, Xiuqing %A Kleber, Marcus E %A Lin, Henry J %A Lin, Honghuang %A Macfarlane, Peter %A Selvin, Elizabeth %A Shaffer, Christian %A Smith, Albert V %A Verweij, Niek %A Weiss, Stefan %A Cappola, Anne R %A Dörr, Marcus %A Gudnason, Vilmundur %A Heckbert, Susan %A Mooijaart, Simon %A März, Winfried %A Psaty, Bruce M %A Ridker, Paul M %A Roden, Dan %A Stott, David J %A Völzke, Henry %A Benjamin, Emelia J %A Delgado, Graciela %A Ellinor, Patrick %A Homuth, Georg %A Köttgen, Anna %A Jukema, Johan W %A Lubitz, Steven A %A Mora, Samia %A Rienstra, Michiel %A Rotter, Jerome I %A Shoemaker, M Benjamin %A Sotoodehnia, Nona %A Taylor, Kent D %A van der Harst, Pim %A Albert, Christine M %A Chasman, Daniel I %X

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.

%B JAMA Cardiol %8 2019 Jan 23 %G eng %R 10.1001/jamacardio.2018.4635 %0 Journal Article %J Circulation %D 2019 %T Biomarkers of Dietary Omega-6 Fatty Acids and Incident Cardiovascular Disease and Mortality. %A Marklund, Matti %A Wu, Jason H Y %A Imamura, Fumiaki %A Del Gobbo, Liana C %A Fretts, Amanda %A de Goede, Janette %A Shi, Peilin %A Tintle, Nathan %A Wennberg, Maria %A Aslibekyan, Stella %A Chen, Tzu-An %A de Oliveira Otto, Marcia C %A Hirakawa, Yoichiro %A Eriksen, Helle Højmark %A Kröger, Janine %A Laguzzi, Federica %A Lankinen, Maria %A Murphy, Rachel A %A Prem, Kiesha %A Samieri, Cecilia %A Virtanen, Jyrki %A Wood, Alexis C %A Wong, Kerry %A Yang, Wei-Sin %A Zhou, Xia %A Baylin, Ana %A Boer, Jolanda M A %A Brouwer, Ingeborg A %A Campos, Hannia %A Chaves, Paulo H M %A Chien, Kuo-Liong %A de Faire, Ulf %A Djoussé, Luc %A Eiriksdottir, Gudny %A El-Abbadi, Naglaa %A Forouhi, Nita G %A Michael Gaziano, J %A Geleijnse, Johanna M %A Gigante, Bruna %A Giles, Graham %A Guallar, Eliseo %A Gudnason, Vilmundur %A Harris, Tamara %A Harris, William S %A Helmer, Catherine %A Hellenius, Mai-Lis %A Hodge, Allison %A Hu, Frank B %A Jacques, Paul F %A Jansson, Jan-Håkan %A Kalsbeek, Anya %A Khaw, Kay-Tee %A Koh, Woon-Puay %A Laakso, Markku %A Leander, Karin %A Lin, Hung-Ju %A Lind, Lars %A Luben, Robert %A Luo, Juhua %A McKnight, Barbara %A Mursu, Jaakko %A Ninomiya, Toshiharu %A Overvad, Kim %A Psaty, Bruce M %A Rimm, Eric %A Schulze, Matthias B %A Siscovick, David %A Skjelbo Nielsen, Michael %A Smith, Albert V %A Steffen, Brian T %A Steffen, Lyn %A Sun, Qi %A Sundström, Johan %A Tsai, Michael Y %A Tunstall-Pedoe, Hugh %A Uusitupa, Matti I J %A van Dam, Rob M %A Veenstra, Jenna %A Monique Verschuren, W M %A Wareham, Nick %A Willett, Walter %A Woodward, Mark %A Yuan, Jian-Min %A Micha, Renata %A Lemaitre, Rozenn N %A Mozaffarian, Dariush %A Riserus, Ulf %X

BACKGROUND: Global dietary recommendations for and cardiovascular effects of linoleic acid, the major dietary omega-6 fatty acid, and its major metabolite, arachidonic acid, remain controversial. To address this uncertainty and inform international recommendations, we evaluated how in vivo circulating and tissue levels of linoleic acid (LA) and arachidonic acid (AA) relate to incident cardiovascular disease (CVD) across multiple international studies.

METHODS: We performed harmonized, de novo, individual-level analyses in a global consortium of 30 prospective observational studies from 13 countries. Multivariable-adjusted associations of circulating and adipose tissue LA and AA biomarkers with incident total CVD and subtypes (coronary heart disease, ischemic stroke, cardiovascular mortality) were investigated according to a prespecified analytic plan. Levels of LA and AA, measured as the percentage of total fatty acids, were evaluated linearly according to their interquintile range (ie, the range between the midpoint of the first and fifth quintiles), and categorically by quintiles. Study-specific results were pooled using inverse-variance-weighted meta-analysis. Heterogeneity was explored by age, sex, race, diabetes mellitus, statin use, aspirin use, omega-3 levels, and fatty acid desaturase 1 genotype (when available).

RESULTS: In 30 prospective studies with medians of follow-up ranging 2.5 to 31.9 years, 15 198 incident cardiovascular events occurred among 68 659 participants. Higher levels of LA were significantly associated with lower risks of total CVD, cardiovascular mortality, and ischemic stroke, with hazard ratios per interquintile range of 0.93 (95% CI, 0.88-0.99), 0.78 (0.70-0.85), and 0.88 (0.79-0.98), respectively, and nonsignificantly with lower coronary heart disease risk (0.94; 0.88-1.00). Relationships were similar for LA evaluated across quintiles. AA levels were not associated with higher risk of cardiovascular outcomes; in a comparison of extreme quintiles, higher levels were associated with lower risk of total CVD (0.92; 0.86-0.99). No consistent heterogeneity by population subgroups was identified in the observed relationships.

CONCLUSIONS: In pooled global analyses, higher in vivo circulating and tissue levels of LA and possibly AA were associated with lower risk of major cardiovascular events. These results support a favorable role for LA in CVD prevention.

%B Circulation %V 139 %P 2422-2436 %8 2019 May 21 %G eng %N 21 %R 10.1161/CIRCULATIONAHA.118.038908 %0 Journal Article %J Nat Genet %D 2019 %T A catalog of genetic loci associated with kidney function from analyses of a million individuals. %A Wuttke, Matthias %A Li, Yong %A Li, Man %A Sieber, Karsten B %A Feitosa, Mary F %A Gorski, Mathias %A Tin, Adrienne %A Wang, Lihua %A Chu, Audrey Y %A Hoppmann, Anselm %A Kirsten, Holger %A Giri, Ayush %A Chai, Jin-Fang %A Sveinbjornsson, Gardar %A Tayo, Bamidele O %A Nutile, Teresa %A Fuchsberger, Christian %A Marten, Jonathan %A Cocca, Massimiliano %A Ghasemi, Sahar %A Xu, Yizhe %A Horn, Katrin %A Noce, Damia %A van der Most, Peter J %A Sedaghat, Sanaz %A Yu, Zhi %A Akiyama, Masato %A Afaq, Saima %A Ahluwalia, Tarunveer S %A Almgren, Peter %A Amin, Najaf %A Arnlöv, Johan %A Bakker, Stephan J L %A Bansal, Nisha %A Baptista, Daniela %A Bergmann, Sven %A Biggs, Mary L %A Biino, Ginevra %A Boehnke, Michael %A Boerwinkle, Eric %A Boissel, Mathilde %A Bottinger, Erwin P %A Boutin, Thibaud S %A Brenner, Hermann %A Brumat, Marco %A Burkhardt, Ralph %A Butterworth, Adam S %A Campana, Eric %A Campbell, Archie %A Campbell, Harry %A Canouil, Mickaël %A Carroll, Robert J %A Catamo, Eulalia %A Chambers, John C %A Chee, Miao-Ling %A Chee, Miao-Li %A Chen, Xu %A Cheng, Ching-Yu %A Cheng, Yurong %A Christensen, Kaare %A Cifkova, Renata %A Ciullo, Marina %A Concas, Maria Pina %A Cook, James P %A Coresh, Josef %A Corre, Tanguy %A Sala, Cinzia Felicita %A Cusi, Daniele %A Danesh, John %A Daw, E Warwick %A de Borst, Martin H %A De Grandi, Alessandro %A de Mutsert, Renée %A de Vries, Aiko P J %A Degenhardt, Frauke %A Delgado, Graciela %A Demirkan, Ayse %A Di Angelantonio, Emanuele %A Dittrich, Katalin %A Divers, Jasmin %A Dorajoo, Rajkumar %A Eckardt, Kai-Uwe %A Ehret, Georg %A Elliott, Paul %A Endlich, Karlhans %A Evans, Michele K %A Felix, Janine F %A Foo, Valencia Hui Xian %A Franco, Oscar H %A Franke, Andre %A Freedman, Barry I %A Freitag-Wolf, Sandra %A Friedlander, Yechiel %A Froguel, Philippe %A Gansevoort, Ron T %A Gao, He %A Gasparini, Paolo %A Gaziano, J Michael %A Giedraitis, Vilmantas %A Gieger, Christian %A Girotto, Giorgia %A Giulianini, Franco %A Gögele, Martin %A Gordon, Scott D %A Gudbjartsson, Daniel F %A Gudnason, Vilmundur %A Haller, Toomas %A Hamet, Pavel %A Harris, Tamara B %A Hartman, Catharina A %A Hayward, Caroline %A Hellwege, Jacklyn N %A Heng, Chew-Kiat %A Hicks, Andrew A %A Hofer, Edith %A Huang, Wei %A Hutri-Kähönen, Nina %A Hwang, Shih-Jen %A Ikram, M Arfan %A Indridason, Olafur S %A Ingelsson, Erik %A Ising, Marcus %A Jaddoe, Vincent W V %A Jakobsdottir, Johanna %A Jonas, Jost B %A Joshi, Peter K %A Josyula, Navya Shilpa %A Jung, Bettina %A Kähönen, Mika %A Kamatani, Yoichiro %A Kammerer, Candace M %A Kanai, Masahiro %A Kastarinen, Mika %A Kerr, Shona M %A Khor, Chiea-Chuen %A Kiess, Wieland %A Kleber, Marcus E %A Koenig, Wolfgang %A Kooner, Jaspal S %A Körner, Antje %A Kovacs, Peter %A Kraja, Aldi T %A Krajcoviechova, Alena %A Kramer, Holly %A Krämer, Bernhard K %A Kronenberg, Florian %A Kubo, Michiaki %A Kuhnel, Brigitte %A Kuokkanen, Mikko %A Kuusisto, Johanna %A La Bianca, Martina %A Laakso, Markku %A Lange, Leslie A %A Langefeld, Carl D %A Lee, Jeannette Jen-Mai %A Lehne, Benjamin %A Lehtimäki, Terho %A Lieb, Wolfgang %A Lim, Su-Chi %A Lind, Lars %A Lindgren, Cecilia M %A Liu, Jun %A Liu, Jianjun %A Loeffler, Markus %A Loos, Ruth J F %A Lucae, Susanne %A Lukas, Mary Ann %A Lyytikäinen, Leo-Pekka %A Mägi, Reedik %A Magnusson, Patrik K E %A Mahajan, Anubha %A Martin, Nicholas G %A Martins, Jade %A März, Winfried %A Mascalzoni, Deborah %A Matsuda, Koichi %A Meisinger, Christa %A Meitinger, Thomas %A Melander, Olle %A Metspalu, Andres %A Mikaelsdottir, Evgenia K %A Milaneschi, Yuri %A Miliku, Kozeta %A Mishra, Pashupati P %A Mohlke, Karen L %A Mononen, Nina %A Montgomery, Grant W %A Mook-Kanamori, Dennis O %A Mychaleckyj, Josyf C %A Nadkarni, Girish N %A Nalls, Mike A %A Nauck, Matthias %A Nikus, Kjell %A Ning, Boting %A Nolte, Ilja M %A Noordam, Raymond %A O'Connell, Jeffrey %A O'Donoghue, Michelle L %A Olafsson, Isleifur %A Oldehinkel, Albertine J %A Orho-Melander, Marju %A Ouwehand, Willem H %A Padmanabhan, Sandosh %A Palmer, Nicholette D %A Palsson, Runolfur %A Penninx, Brenda W J H %A Perls, Thomas %A Perola, Markus %A Pirastu, Mario %A Pirastu, Nicola %A Pistis, Giorgio %A Podgornaia, Anna I %A Polasek, Ozren %A Ponte, Belen %A Porteous, David J %A Poulain, Tanja %A Pramstaller, Peter P %A Preuss, Michael H %A Prins, Bram P %A Province, Michael A %A Rabelink, Ton J %A Raffield, Laura M %A Raitakari, Olli T %A Reilly, Dermot F %A Rettig, Rainer %A Rheinberger, Myriam %A Rice, Kenneth M %A Ridker, Paul M %A Rivadeneira, Fernando %A Rizzi, Federica %A Roberts, David J %A Robino, Antonietta %A Rossing, Peter %A Rudan, Igor %A Rueedi, Rico %A Ruggiero, Daniela %A Ryan, Kathleen A %A Saba, Yasaman %A Sabanayagam, Charumathi %A Salomaa, Veikko %A Salvi, Erika %A Saum, Kai-Uwe %A Schmidt, Helena %A Schmidt, Reinhold %A Schöttker, Ben %A Schulz, Christina-Alexandra %A Schupf, Nicole %A Shaffer, Christian M %A Shi, Yuan %A Smith, Albert V %A Smith, Blair H %A Soranzo, Nicole %A Spracklen, Cassandra N %A Strauch, Konstantin %A Stringham, Heather M %A Stumvoll, Michael %A Svensson, Per O %A Szymczak, Silke %A Tai, E-Shyong %A Tajuddin, Salman M %A Tan, Nicholas Y Q %A Taylor, Kent D %A Teren, Andrej %A Tham, Yih-Chung %A Thiery, Joachim %A Thio, Chris H L %A Thomsen, Hauke %A Thorleifsson, Gudmar %A Toniolo, Daniela %A Tönjes, Anke %A Tremblay, Johanne %A Tzoulaki, Ioanna %A Uitterlinden, André G %A Vaccargiu, Simona %A van Dam, Rob M %A van der Harst, Pim %A van Duijn, Cornelia M %A Velez Edward, Digna R %A Verweij, Niek %A Vogelezang, Suzanne %A Völker, Uwe %A Vollenweider, Peter %A Waeber, Gérard %A Waldenberger, Melanie %A Wallentin, Lars %A Wang, Ya Xing %A Wang, Chaolong %A Waterworth, Dawn M %A Bin Wei, Wen %A White, Harvey %A Whitfield, John B %A Wild, Sarah H %A Wilson, James F %A Wojczynski, Mary K %A Wong, Charlene %A Wong, Tien-Yin %A Xu, Liang %A Yang, Qiong %A Yasuda, Masayuki %A Yerges-Armstrong, Laura M %A Zhang, Weihua %A Zonderman, Alan B %A Rotter, Jerome I %A Bochud, Murielle %A Psaty, Bruce M %A Vitart, Veronique %A Wilson, James G %A Dehghan, Abbas %A Parsa, Afshin %A Chasman, Daniel I %A Ho, Kevin %A Morris, Andrew P %A Devuyst, Olivier %A Akilesh, Shreeram %A Pendergrass, Sarah A %A Sim, Xueling %A Böger, Carsten A %A Okada, Yukinori %A Edwards, Todd L %A Snieder, Harold %A Stefansson, Kari %A Hung, Adriana M %A Heid, Iris M %A Scholz, Markus %A Teumer, Alexander %A Köttgen, Anna %A Pattaro, Cristian %K Chromosome Mapping %K European Continental Ancestry Group %K Genetic Association Studies %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Glomerular Filtration Rate %K Humans %K Inheritance Patterns %K Kidney Function Tests %K Phenotype %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %K Quantitative Trait, Heritable %K Renal Insufficiency, Chronic %K Uromodulin %X

Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.

%B Nat Genet %V 51 %P 957-972 %8 2019 06 %G eng %N 6 %R 10.1038/s41588-019-0407-x %0 Journal Article %J Am J Clin Nutr %D 2019 %T Disentangling the genetics of lean mass. %A Karasik, David %A Zillikens, M Carola %A Hsu, Yi-Hsiang %A Aghdassi, Ali %A Åkesson, Kristina %A Amin, Najaf %A Barroso, Inês %A Bennett, David A %A Bertram, Lars %A Bochud, Murielle %A Borecki, Ingrid B %A Broer, Linda %A Buchman, Aron S %A Byberg, Liisa %A Campbell, Harry %A Campos-Obando, Natalia %A Cauley, Jane A %A Cawthon, Peggy M %A Chambers, John C %A Chen, Zhao %A Cho, Nam H %A Choi, Hyung Jin %A Chou, Wen-Chi %A Cummings, Steven R %A de Groot, Lisette C P G M %A De Jager, Phillip L %A Demuth, Ilja %A Diatchenko, Luda %A Econs, Michael J %A Eiriksdottir, Gudny %A Enneman, Anke W %A Eriksson, Joel %A Eriksson, Johan G %A Estrada, Karol %A Evans, Daniel S %A Feitosa, Mary F %A Fu, Mao %A Gieger, Christian %A Grallert, Harald %A Gudnason, Vilmundur %A Lenore, Launer J %A Hayward, Caroline %A Hofman, Albert %A Homuth, Georg %A Huffman, Kim M %A Husted, Lise B %A Illig, Thomas %A Ingelsson, Erik %A Ittermann, Till %A Jansson, John-Olov %A Johnson, Toby %A Biffar, Reiner %A Jordan, Joanne M %A Jula, Antti %A Karlsson, Magnus %A Khaw, Kay-Tee %A Kilpeläinen, Tuomas O %A Klopp, Norman %A Kloth, Jacqueline S L %A Koller, Daniel L %A Kooner, Jaspal S %A Kraus, William E %A Kritchevsky, Stephen %A Kutalik, Zoltán %A Kuulasmaa, Teemu %A Kuusisto, Johanna %A Laakso, Markku %A Lahti, Jari %A Lang, Thomas %A Langdahl, Bente L %A Lerch, Markus M %A Lewis, Joshua R %A Lill, Christina %A Lind, Lars %A Lindgren, Cecilia %A Liu, Yongmei %A Livshits, Gregory %A Ljunggren, Osten %A Loos, Ruth J F %A Lorentzon, Mattias %A Luan, Jian'an %A Luben, Robert N %A Malkin, Ida %A McGuigan, Fiona E %A Medina-Gómez, Carolina %A Meitinger, Thomas %A Melhus, Håkan %A Mellström, Dan %A Michaëlsson, Karl %A Mitchell, Braxton D %A Morris, Andrew P %A Mosekilde, Leif %A Nethander, Maria %A Newman, Anne B %A O'Connell, Jeffery R %A Oostra, Ben A %A Orwoll, Eric S %A Palotie, Aarno %A Peacock, Munro %A Perola, Markus %A Peters, Annette %A Prince, Richard L %A Psaty, Bruce M %A Räikkönen, Katri %A Ralston, Stuart H %A Ripatti, Samuli %A Rivadeneira, Fernando %A Robbins, John A %A Rotter, Jerome I %A Rudan, Igor %A Salomaa, Veikko %A Satterfield, Suzanne %A Schipf, Sabine %A Shin, Chan Soo %A Smith, Albert V %A Smith, Shad B %A Soranzo, Nicole %A Spector, Timothy D %A Stančáková, Alena %A Stefansson, Kari %A Steinhagen-Thiessen, Elisabeth %A Stolk, Lisette %A Streeten, Elizabeth A %A Styrkarsdottir, Unnur %A Swart, Karin M A %A Thompson, Patricia %A Thomson, Cynthia A %A Thorleifsson, Gudmar %A Thorsteinsdottir, Unnur %A Tikkanen, Emmi %A Tranah, Gregory J %A Uitterlinden, André G %A van Duijn, Cornelia M %A van Schoor, Natasja M %A Vandenput, Liesbeth %A Vollenweider, Peter %A Völzke, Henry %A Wactawski-Wende, Jean %A Walker, Mark %A J Wareham, Nicholas %A Waterworth, Dawn %A Weedon, Michael N %A Wichmann, H-Erich %A Widen, Elisabeth %A Williams, Frances M K %A Wilson, James F %A Wright, Nicole C %A Yerges-Armstrong, Laura M %A Yu, Lei %A Zhang, Weihua %A Zhao, Jing Hua %A Zhou, Yanhua %A Nielson, Carrie M %A Harris, Tamara B %A Demissie, Serkalem %A Kiel, Douglas P %A Ohlsson, Claes %X

Background: Lean body mass (LM) plays an important role in mobility and metabolic function. We previously identified five loci associated with LM adjusted for fat mass in kilograms. Such an adjustment may reduce the power to identify genetic signals having an association with both lean mass and fat mass.

Objectives: To determine the impact of different fat mass adjustments on genetic architecture of LM and identify additional LM loci.

Methods: We performed genome-wide association analyses for whole-body LM (20 cohorts of European ancestry with n = 38,292) measured using dual-energy X-ray absorptiometry) or bioelectrical impedance analysis, adjusted for sex, age, age2, and height with or without fat mass adjustments (Model 1 no fat adjustment; Model 2 adjustment for fat mass as a percentage of body mass; Model 3 adjustment for fat mass in kilograms).

Results: Seven single-nucleotide polymorphisms (SNPs) in separate loci, including one novel LM locus (TNRC6B), were successfully replicated in an additional 47,227 individuals from 29 cohorts. Based on the strengths of the associations in Model 1 vs Model 3, we divided the LM loci into those with an effect on both lean mass and fat mass in the same direction and refer to those as "sumo wrestler" loci (FTO and MC4R). In contrast, loci with an impact specifically on LM were termed "body builder" loci (VCAN and ADAMTSL3). Using existing available genome-wide association study databases, LM increasing alleles of SNPs in sumo wrestler loci were associated with an adverse metabolic profile, whereas LM increasing alleles of SNPs in "body builder" loci were associated with metabolic protection.

Conclusions: In conclusion, we identified one novel LM locus (TNRC6B). Our results suggest that a genetically determined increase in lean mass might exert either harmful or protective effects on metabolic traits, depending on its relation to fat mass.

%B Am J Clin Nutr %V 109 %P 276-287 %8 2019 Feb 01 %G eng %N 2 %R 10.1093/ajcn/nqy272 %0 Journal Article %J Nat Genet %D 2019 %T Genetic architecture of subcortical brain structures in 38,851 individuals. %A Satizabal, Claudia L %A Adams, Hieab H H %A Hibar, Derrek P %A White, Charles C %A Knol, Maria J %A Stein, Jason L %A Scholz, Markus %A Sargurupremraj, Muralidharan %A Jahanshad, Neda %A Roshchupkin, Gennady V %A Smith, Albert V %A Bis, Joshua C %A Jian, Xueqiu %A Luciano, Michelle %A Hofer, Edith %A Teumer, Alexander %A van der Lee, Sven J %A Yang, Jingyun %A Yanek, Lisa R %A Lee, Tom V %A Li, Shuo %A Hu, Yanhui %A Koh, Jia Yu %A Eicher, John D %A Desrivières, Sylvane %A Arias-Vasquez, Alejandro %A Chauhan, Ganesh %A Athanasiu, Lavinia %A Rentería, Miguel E %A Kim, Sungeun %A Hoehn, David %A Armstrong, Nicola J %A Chen, Qiang %A Holmes, Avram J %A den Braber, Anouk %A Kloszewska, Iwona %A Andersson, Micael %A Espeseth, Thomas %A Grimm, Oliver %A Abramovic, Lucija %A Alhusaini, Saud %A Milaneschi, Yuri %A Papmeyer, Martina %A Axelsson, Tomas %A Ehrlich, Stefan %A Roiz-Santiañez, Roberto %A Kraemer, Bernd %A Håberg, Asta K %A Jones, Hannah J %A Pike, G Bruce %A Stein, Dan J %A Stevens, Allison %A Bralten, Janita %A Vernooij, Meike W %A Harris, Tamara B %A Filippi, Irina %A Witte, A Veronica %A Guadalupe, Tulio %A Wittfeld, Katharina %A Mosley, Thomas H %A Becker, James T %A Doan, Nhat Trung %A Hagenaars, Saskia P %A Saba, Yasaman %A Cuellar-Partida, Gabriel %A Amin, Najaf %A Hilal, Saima %A Nho, Kwangsik %A Mirza-Schreiber, Nazanin %A Arfanakis, Konstantinos %A Becker, Diane M %A Ames, David %A Goldman, Aaron L %A Lee, Phil H %A Boomsma, Dorret I %A Lovestone, Simon %A Giddaluru, Sudheer %A Le Hellard, Stephanie %A Mattheisen, Manuel %A Bohlken, Marc M %A Kasperaviciute, Dalia %A Schmaal, Lianne %A Lawrie, Stephen M %A Agartz, Ingrid %A Walton, Esther %A Tordesillas-Gutierrez, Diana %A Davies, Gareth E %A Shin, Jean %A Ipser, Jonathan C %A Vinke, Louis N %A Hoogman, Martine %A Jia, Tianye %A Burkhardt, Ralph %A Klein, Marieke %A Crivello, Fabrice %A Janowitz, Deborah %A Carmichael, Owen %A Haukvik, Unn K %A Aribisala, Benjamin S %A Schmidt, Helena %A Strike, Lachlan T %A Cheng, Ching-Yu %A Risacher, Shannon L %A Pütz, Benno %A Fleischman, Debra A %A Assareh, Amelia A %A Mattay, Venkata S %A Buckner, Randy L %A Mecocci, Patrizia %A Dale, Anders M %A Cichon, Sven %A Boks, Marco P %A Matarin, Mar %A Penninx, Brenda W J H %A Calhoun, Vince D %A Chakravarty, M Mallar %A Marquand, Andre F %A Macare, Christine %A Kharabian Masouleh, Shahrzad %A Oosterlaan, Jaap %A Amouyel, Philippe %A Hegenscheid, Katrin %A Rotter, Jerome I %A Schork, Andrew J %A Liewald, David C M %A de Zubicaray, Greig I %A Wong, Tien Yin %A Shen, Li %A Sämann, Philipp G %A Brodaty, Henry %A Roffman, Joshua L %A de Geus, Eco J C %A Tsolaki, Magda %A Erk, Susanne %A van Eijk, Kristel R %A Cavalleri, Gianpiero L %A van der Wee, Nic J A %A McIntosh, Andrew M %A Gollub, Randy L %A Bulayeva, Kazima B %A Bernard, Manon %A Richards, Jennifer S %A Himali, Jayandra J %A Loeffler, Markus %A Rommelse, Nanda %A Hoffmann, Wolfgang %A Westlye, Lars T %A Valdés Hernández, Maria C %A Hansell, Narelle K %A van Erp, Theo G M %A Wolf, Christiane %A Kwok, John B J %A Vellas, Bruno %A Heinz, Andreas %A Olde Loohuis, Loes M %A Delanty, Norman %A Ho, Beng-Choon %A Ching, Christopher R K %A Shumskaya, Elena %A Singh, Baljeet %A Hofman, Albert %A van der Meer, Dennis %A Homuth, Georg %A Psaty, Bruce M %A Bastin, Mark E %A Montgomery, Grant W %A Foroud, Tatiana M %A Reppermund, Simone %A Hottenga, Jouke-Jan %A Simmons, Andrew %A Meyer-Lindenberg, Andreas %A Cahn, Wiepke %A Whelan, Christopher D %A van Donkelaar, Marjolein M J %A Yang, Qiong %A Hosten, Norbert %A Green, Robert C %A Thalamuthu, Anbupalam %A Mohnke, Sebastian %A Hulshoff Pol, Hilleke E %A Lin, Honghuang %A Jack, Clifford R %A Schofield, Peter R %A Mühleisen, Thomas W %A Maillard, Pauline %A Potkin, Steven G %A Wen, Wei %A Fletcher, Evan %A Toga, Arthur W %A Gruber, Oliver %A Huentelman, Matthew %A Davey Smith, George %A Launer, Lenore J %A Nyberg, Lars %A Jönsson, Erik G %A Crespo-Facorro, Benedicto %A Koen, Nastassja %A Greve, Douglas N %A Uitterlinden, André G %A Weinberger, Daniel R %A Steen, Vidar M %A Fedko, Iryna O %A Groenewold, Nynke A %A Niessen, Wiro J %A Toro, Roberto %A Tzourio, Christophe %A Longstreth, William T %A Ikram, M Kamran %A Smoller, Jordan W %A van Tol, Marie-Jose %A Sussmann, Jessika E %A Paus, Tomáš %A Lemaître, Hervé %A Schroeter, Matthias L %A Mazoyer, Bernard %A Andreassen, Ole A %A Holsboer, Florian %A Depondt, Chantal %A Veltman, Dick J %A Turner, Jessica A %A Pausova, Zdenka %A Schumann, Gunter %A van Rooij, Daan %A Djurovic, Srdjan %A Deary, Ian J %A McMahon, Katie L %A Müller-Myhsok, Bertram %A Brouwer, Rachel M %A Soininen, Hilkka %A Pandolfo, Massimo %A Wassink, Thomas H %A Cheung, Joshua W %A Wolfers, Thomas %A Martinot, Jean-Luc %A Zwiers, Marcel P %A Nauck, Matthias %A Melle, Ingrid %A Martin, Nicholas G %A Kanai, Ryota %A Westman, Eric %A Kahn, René S %A Sisodiya, Sanjay M %A White, Tonya %A Saremi, Arvin %A van Bokhoven, Hans %A Brunner, Han G %A Völzke, Henry %A Wright, Margaret J %A van 't Ent, Dennis %A Nöthen, Markus M %A Ophoff, Roel A %A Buitelaar, Jan K %A Fernández, Guillén %A Sachdev, Perminder S %A Rietschel, Marcella %A van Haren, Neeltje E M %A Fisher, Simon E %A Beiser, Alexa S %A Francks, Clyde %A Saykin, Andrew J %A Mather, Karen A %A Romanczuk-Seiferth, Nina %A Hartman, Catharina A %A DeStefano, Anita L %A Heslenfeld, Dirk J %A Weiner, Michael W %A Walter, Henrik %A Hoekstra, Pieter J %A Nyquist, Paul A %A Franke, Barbara %A Bennett, David A %A Grabe, Hans J %A Johnson, Andrew D %A Chen, Christopher %A van Duijn, Cornelia M %A Lopez, Oscar L %A Fornage, Myriam %A Wardlaw, Joanna M %A Schmidt, Reinhold %A DeCarli, Charles %A De Jager, Philip L %A Villringer, Arno %A Debette, Stephanie %A Gudnason, Vilmundur %A Medland, Sarah E %A Shulman, Joshua M %A Thompson, Paul M %A Seshadri, Sudha %A Ikram, M Arfan %X

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

%B Nat Genet %V 51 %P 1624-1636 %8 2019 Nov %G eng %N 11 %R 10.1038/s41588-019-0511-y %0 Journal Article %J Nat Genet %D 2019 %T Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. %A Kunkle, Brian W %A Grenier-Boley, Benjamin %A Sims, Rebecca %A Bis, Joshua C %A Damotte, Vincent %A Naj, Adam C %A Boland, Anne %A Vronskaya, Maria %A van der Lee, Sven J %A Amlie-Wolf, Alexandre %A Bellenguez, Céline %A Frizatti, Aura %A Chouraki, Vincent %A Martin, Eden R %A Sleegers, Kristel %A Badarinarayan, Nandini %A Jakobsdottir, Johanna %A Hamilton-Nelson, Kara L %A Moreno-Grau, Sonia %A Olaso, Robert %A Raybould, Rachel %A Chen, Yuning %A Kuzma, Amanda B %A Hiltunen, Mikko %A Morgan, Taniesha %A Ahmad, Shahzad %A Vardarajan, Badri N %A Epelbaum, Jacques %A Hoffmann, Per %A Boada, Merce %A Beecham, Gary W %A Garnier, Jean-Guillaume %A Harold, Denise %A Fitzpatrick, Annette L %A Valladares, Otto %A Moutet, Marie-Laure %A Gerrish, Amy %A Smith, Albert V %A Qu, Liming %A Bacq, Delphine %A Denning, Nicola %A Jian, Xueqiu %A Zhao, Yi %A Del Zompo, Maria %A Fox, Nick C %A Choi, Seung-Hoan %A Mateo, Ignacio %A Hughes, Joseph T %A Adams, Hieab H %A Malamon, John %A Sanchez-Garcia, Florentino %A Patel, Yogen %A Brody, Jennifer A %A Dombroski, Beth A %A Naranjo, Maria Candida Deniz %A Daniilidou, Makrina %A Eiriksdottir, Gudny %A Mukherjee, Shubhabrata %A Wallon, David %A Uphill, James %A Aspelund, Thor %A Cantwell, Laura B %A Garzia, Fabienne %A Galimberti, Daniela %A Hofer, Edith %A Butkiewicz, Mariusz %A Fin, Bertrand %A Scarpini, Elio %A Sarnowski, Chloe %A Bush, Will S %A Meslage, Stéphane %A Kornhuber, Johannes %A White, Charles C %A Song, Yuenjoo %A Barber, Robert C %A Engelborghs, Sebastiaan %A Sordon, Sabrina %A Voijnovic, Dina %A Adams, Perrie M %A Vandenberghe, Rik %A Mayhaus, Manuel %A Cupples, L Adrienne %A Albert, Marilyn S %A De Deyn, Peter P %A Gu, Wei %A Himali, Jayanadra J %A Beekly, Duane %A Squassina, Alessio %A Hartmann, Annette M %A Orellana, Adelina %A Blacker, Deborah %A Rodriguez-Rodriguez, Eloy %A Lovestone, Simon %A Garcia, Melissa E %A Doody, Rachelle S %A Munoz-Fernadez, Carmen %A Sussams, Rebecca %A Lin, Honghuang %A Fairchild, Thomas J %A Benito, Yolanda A %A Holmes, Clive %A Karamujić-Čomić, Hata %A Frosch, Matthew P %A Thonberg, Håkan %A Maier, Wolfgang %A Roschupkin, Gena %A Ghetti, Bernardino %A Giedraitis, Vilmantas %A Kawalia, Amit %A Li, Shuo %A Huebinger, Ryan M %A Kilander, Lena %A Moebus, Susanne %A Hernandez, Isabel %A Kamboh, M Ilyas %A Brundin, RoseMarie %A Turton, James %A Yang, Qiong %A Katz, Mindy J %A Concari, Letizia %A Lord, Jenny %A Beiser, Alexa S %A Keene, C Dirk %A Helisalmi, Seppo %A Kloszewska, Iwona %A Kukull, Walter A %A Koivisto, Anne Maria %A Lynch, Aoibhinn %A Tarraga, Lluis %A Larson, Eric B %A Haapasalo, Annakaisa %A Lawlor, Brian %A Mosley, Thomas H %A Lipton, Richard B %A Solfrizzi, Vincenzo %A Gill, Michael %A Longstreth, W T %A Montine, Thomas J %A Frisardi, Vincenza %A Diez-Fairen, Monica %A Rivadeneira, Fernando %A Petersen, Ronald C %A Deramecourt, Vincent %A Alvarez, Ignacio %A Salani, Francesca %A Ciaramella, Antonio %A Boerwinkle, Eric %A Reiman, Eric M %A Fiévet, Nathalie %A Rotter, Jerome I %A Reisch, Joan S %A Hanon, Olivier %A Cupidi, Chiara %A Andre Uitterlinden, A G %A Royall, Donald R %A Dufouil, Carole %A Maletta, Raffaele Giovanni %A de Rojas, Itziar %A Sano, Mary %A Brice, Alexis %A Cecchetti, Roberta %A George-Hyslop, Peter St %A Ritchie, Karen %A Tsolaki, Magda %A Tsuang, Debby W %A Dubois, Bruno %A Craig, David %A Wu, Chuang-Kuo %A Soininen, Hilkka %A Avramidou, Despoina %A Albin, Roger L %A Fratiglioni, Laura %A Germanou, Antonia %A Apostolova, Liana G %A Keller, Lina %A Koutroumani, Maria %A Arnold, Steven E %A Panza, Francesco %A Gkatzima, Olymbia %A Asthana, Sanjay %A Hannequin, Didier %A Whitehead, Patrice %A Atwood, Craig S %A Caffarra, Paolo %A Hampel, Harald %A Quintela, Inés %A Carracedo, Angel %A Lannfelt, Lars %A Rubinsztein, David C %A Barnes, Lisa L %A Pasquier, Florence %A Frölich, Lutz %A Barral, Sandra %A McGuinness, Bernadette %A Beach, Thomas G %A Johnston, Janet A %A Becker, James T %A Passmore, Peter %A Bigio, Eileen H %A Schott, Jonathan M %A Bird, Thomas D %A Warren, Jason D %A Boeve, Bradley F %A Lupton, Michelle K %A Bowen, James D %A Proitsi, Petra %A Boxer, Adam %A Powell, John F %A Burke, James R %A Kauwe, John S K %A Burns, Jeffrey M %A Mancuso, Michelangelo %A Buxbaum, Joseph D %A Bonuccelli, Ubaldo %A Cairns, Nigel J %A McQuillin, Andrew %A Cao, Chuanhai %A Livingston, Gill %A Carlson, Chris S %A Bass, Nicholas J %A Carlsson, Cynthia M %A Hardy, John %A Carney, Regina M %A Bras, Jose %A Carrasquillo, Minerva M %A Guerreiro, Rita %A Allen, Mariet %A Chui, Helena C %A Fisher, Elizabeth %A Masullo, Carlo %A Crocco, Elizabeth A %A DeCarli, Charles %A Bisceglio, Gina %A Dick, Malcolm %A Ma, Li %A Duara, Ranjan %A Graff-Radford, Neill R %A Evans, Denis A %A Hodges, Angela %A Faber, Kelley M %A Scherer, Martin %A Fallon, Kenneth B %A Riemenschneider, Matthias %A Fardo, David W %A Heun, Reinhard %A Farlow, Martin R %A Kölsch, Heike %A Ferris, Steven %A Leber, Markus %A Foroud, Tatiana M %A Heuser, Isabella %A Galasko, Douglas R %A Giegling, Ina %A Gearing, Marla %A Hüll, Michael %A Geschwind, Daniel H %A Gilbert, John R %A Morris, John %A Green, Robert C %A Mayo, Kevin %A Growdon, John H %A Feulner, Thomas %A Hamilton, Ronald L %A Harrell, Lindy E %A Drichel, Dmitriy %A Honig, Lawrence S %A Cushion, Thomas D %A Huentelman, Matthew J %A Hollingworth, Paul %A Hulette, Christine M %A Hyman, Bradley T %A Marshall, Rachel %A Jarvik, Gail P %A Meggy, Alun %A Abner, Erin %A Menzies, Georgina E %A Jin, Lee-Way %A Leonenko, Ganna %A Real, Luis M %A Jun, Gyungah R %A Baldwin, Clinton T %A Grozeva, Detelina %A Karydas, Anna %A Russo, Giancarlo %A Kaye, Jeffrey A %A Kim, Ronald %A Jessen, Frank %A Kowall, Neil W %A Vellas, Bruno %A Kramer, Joel H %A Vardy, Emma %A LaFerla, Frank M %A Jöckel, Karl-Heinz %A Lah, James J %A Dichgans, Martin %A Leverenz, James B %A Mann, David %A Levey, Allan I %A Pickering-Brown, Stuart %A Lieberman, Andrew P %A Klopp, Norman %A Lunetta, Kathryn L %A Wichmann, H-Erich %A Lyketsos, Constantine G %A Morgan, Kevin %A Marson, Daniel C %A Brown, Kristelle %A Martiniuk, Frank %A Medway, Christopher %A Mash, Deborah C %A Nöthen, Markus M %A Masliah, Eliezer %A Hooper, Nigel M %A McCormick, Wayne C %A Daniele, Antonio %A McCurry, Susan M %A Bayer, Anthony %A McDavid, Andrew N %A Gallacher, John %A McKee, Ann C %A van den Bussche, Hendrik %A Mesulam, Marsel %A Brayne, Carol %A Miller, Bruce L %A Riedel-Heller, Steffi %A Miller, Carol A %A Miller, Joshua W %A Al-Chalabi, Ammar %A Morris, John C %A Shaw, Christopher E %A Myers, Amanda J %A Wiltfang, Jens %A O'Bryant, Sid %A Olichney, John M %A Alvarez, Victoria %A Parisi, Joseph E %A Singleton, Andrew B %A Paulson, Henry L %A Collinge, John %A Perry, William R %A Mead, Simon %A Peskind, Elaine %A Cribbs, David H %A Rossor, Martin %A Pierce, Aimee %A Ryan, Natalie S %A Poon, Wayne W %A Nacmias, Benedetta %A Potter, Huntington %A Sorbi, Sandro %A Quinn, Joseph F %A Sacchinelli, Eleonora %A Raj, Ashok %A Spalletta, Gianfranco %A Raskind, Murray %A Caltagirone, Carlo %A Bossù, Paola %A Orfei, Maria Donata %A Reisberg, Barry %A Clarke, Robert %A Reitz, Christiane %A Smith, A David %A Ringman, John M %A Warden, Donald %A Roberson, Erik D %A Wilcock, Gordon %A Rogaeva, Ekaterina %A Bruni, Amalia Cecilia %A Rosen, Howard J %A Gallo, Maura %A Rosenberg, Roger N %A Ben-Shlomo, Yoav %A Sager, Mark A %A Mecocci, Patrizia %A Saykin, Andrew J %A Pastor, Pau %A Cuccaro, Michael L %A Vance, Jeffery M %A Schneider, Julie A %A Schneider, Lori S %A Slifer, Susan %A Seeley, William W %A Smith, Amanda G %A Sonnen, Joshua A %A Spina, Salvatore %A Stern, Robert A %A Swerdlow, Russell H %A Tang, Mitchell %A Tanzi, Rudolph E %A Trojanowski, John Q %A Troncoso, Juan C %A Van Deerlin, Vivianna M %A Van Eldik, Linda J %A Vinters, Harry V %A Vonsattel, Jean Paul %A Weintraub, Sandra %A Welsh-Bohmer, Kathleen A %A Wilhelmsen, Kirk C %A Williamson, Jennifer %A Wingo, Thomas S %A Woltjer, Randall L %A Wright, Clinton B %A Yu, Chang-En %A Yu, Lei %A Saba, Yasaman %A Pilotto, Alberto %A Bullido, María J %A Peters, Oliver %A Crane, Paul K %A Bennett, David %A Bosco, Paola %A Coto, Eliecer %A Boccardi, Virginia %A De Jager, Phil L %A Lleo, Alberto %A Warner, Nick %A Lopez, Oscar L %A Ingelsson, Martin %A Deloukas, Panagiotis %A Cruchaga, Carlos %A Graff, Caroline %A Gwilliam, Rhian %A Fornage, Myriam %A Goate, Alison M %A Sánchez-Juan, Pascual %A Kehoe, Patrick G %A Amin, Najaf %A Ertekin-Taner, Nilifur %A Berr, Claudine %A Debette, Stephanie %A Love, Seth %A Launer, Lenore J %A Younkin, Steven G %A Dartigues, Jean-François %A Corcoran, Chris %A Ikram, M Arfan %A Dickson, Dennis W %A Nicolas, Gaël %A Campion, Dominique %A Tschanz, JoAnn %A Schmidt, Helena %A Hakonarson, Hakon %A Clarimon, Jordi %A Munger, Ron %A Schmidt, Reinhold %A Farrer, Lindsay A %A Van Broeckhoven, Christine %A C O'Donovan, Michael %A DeStefano, Anita L %A Jones, Lesley %A Haines, Jonathan L %A Deleuze, Jean-Francois %A Owen, Michael J %A Gudnason, Vilmundur %A Mayeux, Richard %A Escott-Price, Valentina %A Psaty, Bruce M %A Ramirez, Alfredo %A Wang, Li-San %A Ruiz, Agustin %A van Duijn, Cornelia M %A Holmans, Peter A %A Seshadri, Sudha %A Williams, Julie %A Amouyel, Phillippe %A Schellenberg, Gerard D %A Lambert, Jean-Charles %A Pericak-Vance, Margaret A %X

Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer's or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer's disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 × 10), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.

%B Nat Genet %V 51 %P 414-430 %8 2019 Mar %G eng %N 3 %R 10.1038/s41588-019-0358-2 %0 Journal Article %J Am J Epidemiol %D 2019 %T Multi-Ancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions. %A de Vries, Paul S %A Brown, Michael R %A Bentley, Amy R %A Sung, Yun J %A Winkler, Thomas W %A Ntalla, Ioanna %A Schwander, Karen %A Kraja, Aldi T %A Guo, Xiuqing %A Franceschini, Nora %A Cheng, Ching-Yu %A Sim, Xueling %A Vojinovic, Dina %A Huffman, Jennifer E %A Musani, Solomon K %A Li, Changwei %A Feitosa, Mary F %A Richard, Melissa A %A Noordam, Raymond %A Aschard, Hugues %A Bartz, Traci M %A Bielak, Lawrence F %A Deng, Xuan %A Dorajoo, Rajkumar %A Lohman, Kurt K %A Manning, Alisa K %A Rankinen, Tuomo %A Smith, Albert V %A Tajuddin, Salman M %A Evangelou, Evangelos %A Graff, Mariaelisa %A Alver, Maris %A Boissel, Mathilde %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Gandin, Ilaria %A Gao, Chuan %A Goel, Anuj %A Hagemeijer, Yanick %A Harris, Sarah E %A Hartwig, Fernando P %A He, Meian %A Horimoto, Andrea R V R %A Hsu, Fang-Chi %A Jackson, Anne U %A Kasturiratne, Anuradhani %A Komulainen, Pirjo %A Kuhnel, Brigitte %A Laguzzi, Federica %A Lee, Joseph H %A Luan, Jian'an %A Lyytikäinen, Leo-Pekka %A Matoba, Nana %A Nolte, Ilja M %A Pietzner, Maik %A Riaz, Muhammad %A Said, M Abdullah %A Scott, Robert A %A Sofer, Tamar %A Stančáková, Alena %A Takeuchi, Fumihiko %A Tayo, Bamidele O %A van der Most, Peter J %A Varga, Tibor V %A Wang, Yajuan %A Ware, Erin B %A Wen, Wanqing %A Yanek, Lisa R %A Zhang, Weihua %A Zhao, Jing Hua %A Afaq, Saima %A Amin, Najaf %A Amini, Marzyeh %A Arking, Dan E %A Aung, Tin %A Ballantyne, Christie %A Boerwinkle, Eric %A Broeckel, Ulrich %A Campbell, Archie %A Canouil, Mickaël %A Charumathi, Sabanayagam %A Chen, Yii-Der Ida %A Connell, John M %A de Faire, Ulf %A de Las Fuentes, Lisa %A de Mutsert, Renée %A de Silva, H Janaka %A Ding, Jingzhong %A Dominiczak, Anna F %A Duan, Qing %A Eaton, Charles B %A Eppinga, Ruben N %A Faul, Jessica D %A Fisher, Virginia %A Forrester, Terrence %A Franco, Oscar H %A Friedlander, Yechiel %A Ghanbari, Mohsen %A Giulianini, Franco %A Grabe, Hans J %A Grove, Megan L %A Gu, C Charles %A Harris, Tamara B %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hirata, Makoto %A Hixson, James E %A Howard, Barbara V %A Ikram, M Arfan %A Jacobs, David R %A Johnson, Craig %A Jonas, Jost Bruno %A Kammerer, Candace M %A Katsuya, Tomohiro %A Khor, Chiea Chuen %A Kilpeläinen, Tuomas O %A Koh, Woon-Puay %A Koistinen, Heikki A %A Kolcic, Ivana %A Kooperberg, Charles %A Krieger, Jose E %A Kritchevsky, Steve B %A Kubo, Michiaki %A Kuusisto, Johanna %A Lakka, Timo A %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lehne, Benjamin %A Lemaitre, Rozenn N %A Li, Yize %A Liang, Jingjing %A Liu, Jianjun %A Liu, Kiang %A Loh, Marie %A Louie, Tin %A Mägi, Reedik %A Manichaikul, Ani W %A McKenzie, Colin A %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A Milani, Lili %A Mohlke, Karen L %A Mosley, Thomas H %A Mukamal, Kenneth J %A Nalls, Mike A %A Nauck, Matthias %A Nelson, Christopher P %A Sotoodehnia, Nona %A O'Connell, Jeff R %A Palmer, Nicholette D %A Pazoki, Raha %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Polasek, Ozren %A Poulter, Neil %A Raffel, Leslie J %A Raitakari, Olli T %A Reiner, Alex P %A Rice, Treva K %A Rich, Stephen S %A Robino, Antonietta %A Robinson, Jennifer G %A Rose, Lynda M %A Rudan, Igor %A Schmidt, Carsten O %A Schreiner, Pamela J %A Scott, William R %A Sever, Peter %A Shi, Yuan %A Sidney, Stephen %A Sims, Mario %A Smith, Blair H %A Smith, Jennifer A %A Snieder, Harold %A Starr, John M %A Strauch, Konstantin %A Tan, Nicholas %A Taylor, Kent D %A Teo, Yik Ying %A Tham, Yih Chung %A Uitterlinden, André G %A van Heemst, Diana %A Vuckovic, Dragana %A Waldenberger, Melanie %A Wang, Lihua %A Wang, Yujie %A Wang, Zhe %A Wei, Wen Bin %A Williams, Christine %A Wilson, Gregory %A Wojczynski, Mary K %A Yao, Jie %A Yu, Bing %A Yu, Caizheng %A Yuan, Jian-Min %A Zhao, Wei %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A Chambers, John C %A Deary, Ian J %A Esko, Tõnu %A Farrall, Martin %A Franks, Paul W %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Horta, Bernardo L %A Kamatani, Yoichiro %A Kato, Norihiro %A Kooner, Jaspal S %A Laakso, Markku %A Leander, Karin %A Lehtimäki, Terho %A Magnusson, Patrik K E %A Penninx, Brenda %A Pereira, Alexandre C %A Rauramaa, Rainer %A Samani, Nilesh J %A Scott, James %A Shu, Xiao-Ou %A van der Harst, Pim %A Wagenknecht, Lynne E %A Wang, Ya Xing %A Wareham, Nicholas J %A Watkins, Hugh %A Weir, David R %A Wickremasinghe, Ananda R %A Zheng, Wei %A Elliott, Paul %A North, Kari E %A Bouchard, Claude %A Evans, Michele K %A Gudnason, Vilmundur %A Liu, Ching-Ti %A Liu, Yongmei %A Psaty, Bruce M %A Ridker, Paul M %A van Dam, Rob M %A Kardia, Sharon L R %A Zhu, Xiaofeng %A Rotimi, Charles N %A Mook-Kanamori, Dennis O %A Fornage, Myriam %A Kelly, Tanika N %A Fox, Ervin R %A Hayward, Caroline %A van Duijn, Cornelia M %A Tai, E Shyong %A Wong, Tien Yin %A Liu, Jingmin %A Rotter, Jerome I %A Gauderman, W James %A Province, Michael A %A Munroe, Patricia B %A Rice, Kenneth %A Chasman, Daniel I %A Cupples, L Adrienne %A Rao, Dabeeru C %A Morrison, Alanna C %X

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.

%B Am J Epidemiol %8 2019 Jan 29 %G eng %R 10.1093/aje/kwz005 %0 Journal Article %J Nat Genet %D 2019 %T Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. %A Bentley, Amy R %A Sung, Yun J %A Brown, Michael R %A Winkler, Thomas W %A Kraja, Aldi T %A Ntalla, Ioanna %A Schwander, Karen %A Chasman, Daniel I %A Lim, Elise %A Deng, Xuan %A Guo, Xiuqing %A Liu, Jingmin %A Lu, Yingchang %A Cheng, Ching-Yu %A Sim, Xueling %A Vojinovic, Dina %A Huffman, Jennifer E %A Musani, Solomon K %A Li, Changwei %A Feitosa, Mary F %A Richard, Melissa A %A Noordam, Raymond %A Baker, Jenna %A Chen, Guanjie %A Aschard, Hugues %A Bartz, Traci M %A Ding, Jingzhong %A Dorajoo, Rajkumar %A Manning, Alisa K %A Rankinen, Tuomo %A Smith, Albert V %A Tajuddin, Salman M %A Zhao, Wei %A Graff, Mariaelisa %A Alver, Maris %A Boissel, Mathilde %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Evangelou, Evangelos %A Gao, Chuan %A Goel, Anuj %A Hagemeijer, Yanick %A Harris, Sarah E %A Hartwig, Fernando P %A He, Meian %A Horimoto, Andrea R V R %A Hsu, Fang-Chi %A Hung, Yi-Jen %A Jackson, Anne U %A Kasturiratne, Anuradhani %A Komulainen, Pirjo %A Kuhnel, Brigitte %A Leander, Karin %A Lin, Keng-Hung %A Luan, Jian'an %A Lyytikäinen, Leo-Pekka %A Matoba, Nana %A Nolte, Ilja M %A Pietzner, Maik %A Prins, Bram %A Riaz, Muhammad %A Robino, Antonietta %A Said, M Abdullah %A Schupf, Nicole %A Scott, Robert A %A Sofer, Tamar %A Stančáková, Alena %A Takeuchi, Fumihiko %A Tayo, Bamidele O %A van der Most, Peter J %A Varga, Tibor V %A Wang, Tzung-Dau %A Wang, Yajuan %A Ware, Erin B %A Wen, Wanqing %A Xiang, Yong-Bing %A Yanek, Lisa R %A Zhang, Weihua %A Zhao, Jing Hua %A Adeyemo, Adebowale %A Afaq, Saima %A Amin, Najaf %A Amini, Marzyeh %A Arking, Dan E %A Arzumanyan, Zorayr %A Aung, Tin %A Ballantyne, Christie %A Barr, R Graham %A Bielak, Lawrence F %A Boerwinkle, Eric %A Bottinger, Erwin P %A Broeckel, Ulrich %A Brown, Morris %A Cade, Brian E %A Campbell, Archie %A Canouil, Mickaël %A Charumathi, Sabanayagam %A Chen, Yii-Der Ida %A Christensen, Kaare %A Concas, Maria Pina %A Connell, John M %A de Las Fuentes, Lisa %A de Silva, H Janaka %A de Vries, Paul S %A Doumatey, Ayo %A Duan, Qing %A Eaton, Charles B %A Eppinga, Ruben N %A Faul, Jessica D %A Floyd, James S %A Forouhi, Nita G %A Forrester, Terrence %A Friedlander, Yechiel %A Gandin, Ilaria %A Gao, He %A Ghanbari, Mohsen %A Gharib, Sina A %A Gigante, Bruna %A Giulianini, Franco %A Grabe, Hans J %A Gu, C Charles %A Harris, Tamara B %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hirata, Makoto %A Hixson, James E %A Ikram, M Arfan %A Jia, Yucheng %A Joehanes, Roby %A Johnson, Craig %A Jonas, Jost Bruno %A Justice, Anne E %A Katsuya, Tomohiro %A Khor, Chiea Chuen %A Kilpeläinen, Tuomas O %A Koh, Woon-Puay %A Kolcic, Ivana %A Kooperberg, Charles %A Krieger, Jose E %A Kritchevsky, Stephen B %A Kubo, Michiaki %A Kuusisto, Johanna %A Lakka, Timo A %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lehne, Benjamin %A Lewis, Cora E %A Li, Yize %A Liang, Jingjing %A Lin, Shiow %A Liu, Ching-Ti %A Liu, Jianjun %A Liu, Kiang %A Loh, Marie %A Lohman, Kurt K %A Louie, Tin %A Luzzi, Anna %A Mägi, Reedik %A Mahajan, Anubha %A Manichaikul, Ani W %A McKenzie, Colin A %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A Milani, Lili %A Mohlke, Karen L %A Momozawa, Yukihide %A Morris, Andrew P %A Murray, Alison D %A Nalls, Mike A %A Nauck, Matthias %A Nelson, Christopher P %A North, Kari E %A O'Connell, Jeffrey R %A Palmer, Nicholette D %A Papanicolau, George J %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Polasek, Ozren %A Poulter, Neil %A Raitakari, Olli T %A Reiner, Alex P %A Renstrom, Frida %A Rice, Treva K %A Rich, Stephen S %A Robinson, Jennifer G %A Rose, Lynda M %A Rosendaal, Frits R %A Rudan, Igor %A Schmidt, Carsten O %A Schreiner, Pamela J %A Scott, William R %A Sever, Peter %A Shi, Yuan %A Sidney, Stephen %A Sims, Mario %A Smith, Jennifer A %A Snieder, Harold %A Starr, John M %A Strauch, Konstantin %A Stringham, Heather M %A Tan, Nicholas Y Q %A Tang, Hua %A Taylor, Kent D %A Teo, Yik Ying %A Tham, Yih Chung %A Tiemeier, Henning %A Turner, Stephen T %A Uitterlinden, André G %A van Heemst, Diana %A Waldenberger, Melanie %A Wang, Heming %A Wang, Lan %A Wang, Lihua %A Wei, Wen Bin %A Williams, Christine A %A Wilson, Gregory %A Wojczynski, Mary K %A Yao, Jie %A Young, Kristin %A Yu, Caizheng %A Yuan, Jian-Min %A Zhou, Jie %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A Chambers, John C %A Cooper, Richard S %A de Faire, Ulf %A Deary, Ian J %A Elliott, Paul %A Esko, Tõnu %A Farrall, Martin %A Franks, Paul W %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Horta, Bernardo L %A Juang, Jyh-Ming Jimmy %A Kamatani, Yoichiro %A Kammerer, Candace M %A Kato, Norihiro %A Kooner, Jaspal S %A Laakso, Markku %A Laurie, Cathy C %A Lee, I-Te %A Lehtimäki, Terho %A Magnusson, Patrik K E %A Oldehinkel, Albertine J %A Penninx, Brenda W J H %A Pereira, Alexandre C %A Rauramaa, Rainer %A Redline, Susan %A Samani, Nilesh J %A Scott, James %A Shu, Xiao-Ou %A van der Harst, Pim %A Wagenknecht, Lynne E %A Wang, Jun-Sing %A Wang, Ya Xing %A Wareham, Nicholas J %A Watkins, Hugh %A Weir, David R %A Wickremasinghe, Ananda R %A Wu, Tangchun %A Zeggini, Eleftheria %A Zheng, Wei %A Bouchard, Claude %A Evans, Michele K %A Gudnason, Vilmundur %A Kardia, Sharon L R %A Liu, Yongmei %A Psaty, Bruce M %A Ridker, Paul M %A van Dam, Rob M %A Mook-Kanamori, Dennis O %A Fornage, Myriam %A Province, Michael A %A Kelly, Tanika N %A Fox, Ervin R %A Hayward, Caroline %A van Duijn, Cornelia M %A Tai, E Shyong %A Wong, Tien Yin %A Loos, Ruth J F %A Franceschini, Nora %A Rotter, Jerome I %A Zhu, Xiaofeng %A Bierut, Laura J %A Gauderman, W James %A Rice, Kenneth %A Munroe, Patricia B %A Morrison, Alanna C %A Rao, Dabeeru C %A Rotimi, Charles N %A Cupples, L Adrienne %X

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.

%B Nat Genet %V 51 %P 636-648 %8 2019 Apr %G eng %N 4 %R 10.1038/s41588-019-0378-y %0 Journal Article %J Nat Commun %D 2019 %T Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. %A Kilpeläinen, Tuomas O %A Bentley, Amy R %A Noordam, Raymond %A Sung, Yun Ju %A Schwander, Karen %A Winkler, Thomas W %A Jakupović, Hermina %A Chasman, Daniel I %A Manning, Alisa %A Ntalla, Ioanna %A Aschard, Hugues %A Brown, Michael R %A de Las Fuentes, Lisa %A Franceschini, Nora %A Guo, Xiuqing %A Vojinovic, Dina %A Aslibekyan, Stella %A Feitosa, Mary F %A Kho, Minjung %A Musani, Solomon K %A Richard, Melissa %A Wang, Heming %A Wang, Zhe %A Bartz, Traci M %A Bielak, Lawrence F %A Campbell, Archie %A Dorajoo, Rajkumar %A Fisher, Virginia %A Hartwig, Fernando P %A Horimoto, Andrea R V R %A Li, Changwei %A Lohman, Kurt K %A Marten, Jonathan %A Sim, Xueling %A Smith, Albert V %A Tajuddin, Salman M %A Alver, Maris %A Amini, Marzyeh %A Boissel, Mathilde %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Evangelou, Evangelos %A Gao, Chuan %A Graff, Mariaelisa %A Harris, Sarah E %A He, Meian %A Hsu, Fang-Chi %A Jackson, Anne U %A Zhao, Jing Hua %A Kraja, Aldi T %A Kuhnel, Brigitte %A Laguzzi, Federica %A Lyytikäinen, Leo-Pekka %A Nolte, Ilja M %A Rauramaa, Rainer %A Riaz, Muhammad %A Robino, Antonietta %A Rueedi, Rico %A Stringham, Heather M %A Takeuchi, Fumihiko %A van der Most, Peter J %A Varga, Tibor V %A Verweij, Niek %A Ware, Erin B %A Wen, Wanqing %A Li, Xiaoyin %A Yanek, Lisa R %A Amin, Najaf %A Arnett, Donna K %A Boerwinkle, Eric %A Brumat, Marco %A Cade, Brian %A Canouil, Mickaël %A Chen, Yii-Der Ida %A Concas, Maria Pina %A Connell, John %A de Mutsert, Renée %A de Silva, H Janaka %A de Vries, Paul S %A Demirkan, Ayse %A Ding, Jingzhong %A Eaton, Charles B %A Faul, Jessica D %A Friedlander, Yechiel %A Gabriel, Kelley P %A Ghanbari, Mohsen %A Giulianini, Franco %A Gu, Chi Charles %A Gu, Dongfeng %A Harris, Tamara B %A He, Jiang %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hunt, Steven C %A Ikram, M Arfan %A Jonas, Jost B %A Koh, Woon-Puay %A Komulainen, Pirjo %A Krieger, Jose E %A Kritchevsky, Stephen B %A Kutalik, Zoltán %A Kuusisto, Johanna %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Leander, Karin %A Lemaitre, Rozenn N %A Lewis, Cora E %A Liang, Jingjing %A Liu, Jianjun %A Mägi, Reedik %A Manichaikul, Ani %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A Mohlke, Karen L %A Mosley, Thomas H %A Murray, Alison D %A Nalls, Mike A %A Nang, Ei-Ei Khaing %A Nelson, Christopher P %A Nona, Sotoodehnia %A Norris, Jill M %A Nwuba, Chiamaka Vivian %A O'Connell, Jeff %A Palmer, Nicholette D %A Papanicolau, George J %A Pazoki, Raha %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Polasek, Ozren %A Porteous, David J %A Poveda, Alaitz %A Raitakari, Olli T %A Rich, Stephen S %A Risch, Neil %A Robinson, Jennifer G %A Rose, Lynda M %A Rudan, Igor %A Schreiner, Pamela J %A Scott, Robert A %A Sidney, Stephen S %A Sims, Mario %A Smith, Jennifer A %A Snieder, Harold %A Sofer, Tamar %A Starr, John M %A Sternfeld, Barbara %A Strauch, Konstantin %A Tang, Hua %A Taylor, Kent D %A Tsai, Michael Y %A Tuomilehto, Jaakko %A Uitterlinden, André G %A van der Ende, M Yldau %A van Heemst, Diana %A Voortman, Trudy %A Waldenberger, Melanie %A Wennberg, Patrik %A Wilson, Gregory %A Xiang, Yong-Bing %A Yao, Jie %A Yu, Caizheng %A Yuan, Jian-Min %A Zhao, Wei %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A de Faire, Ulf %A Deary, Ian J %A Elliott, Paul %A Esko, Tõnu %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Kato, Norihiro %A Laakso, Markku %A Lakka, Timo A %A Lehtimäki, Terho %A Magnusson, Patrik K E %A Oldehinkel, Albertine J %A Penninx, Brenda W J H %A Samani, Nilesh J %A Shu, Xiao-Ou %A van der Harst, Pim %A van Vliet-Ostaptchouk, Jana V %A Vollenweider, Peter %A Wagenknecht, Lynne E %A Wang, Ya X %A Wareham, Nicholas J %A Weir, David R %A Wu, Tangchun %A Zheng, Wei %A Zhu, Xiaofeng %A Evans, Michele K %A Franks, Paul W %A Gudnason, Vilmundur %A Hayward, Caroline %A Horta, Bernardo L %A Kelly, Tanika N %A Liu, Yongmei %A North, Kari E %A Pereira, Alexandre C %A Ridker, Paul M %A Tai, E Shyong %A van Dam, Rob M %A Fox, Ervin R %A Kardia, Sharon L R %A Liu, Ching-Ti %A Mook-Kanamori, Dennis O %A Province, Michael A %A Redline, Susan %A van Duijn, Cornelia M %A Rotter, Jerome I %A Kooperberg, Charles B %A Gauderman, W James %A Psaty, Bruce M %A Rice, Kenneth %A Munroe, Patricia B %A Fornage, Myriam %A Cupples, L Adrienne %A Rotimi, Charles N %A Morrison, Alanna C %A Rao, Dabeeru C %A Loos, Ruth J F %K Adolescent %K Adult %K African Continental Ancestry Group %K Aged %K Aged, 80 and over %K Asian Continental Ancestry Group %K Brazil %K Calcium-Binding Proteins %K Cholesterol %K Cholesterol, HDL %K Cholesterol, LDL %K European Continental Ancestry Group %K Exercise %K Female %K Genetic Loci %K Genome-Wide Association Study %K Genotype %K Hispanic Americans %K Humans %K LIM-Homeodomain Proteins %K Lipid Metabolism %K Lipids %K Male %K Membrane Proteins %K Microtubule-Associated Proteins %K Middle Aged %K Muscle Proteins %K Nerve Tissue Proteins %K Transcription Factors %K Triglycerides %K Young Adult %X

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.

%B Nat Commun %V 10 %P 376 %8 2019 01 22 %G eng %N 1 %R 10.1038/s41467-018-08008-w %0 Journal Article %J Diabetes %D 2019 %T Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control. %A Pollack, Samuela %A Igo, Robert P %A Jensen, Richard A %A Christiansen, Mark %A Li, Xiaohui %A Cheng, Ching-Yu %A Ng, Maggie C Y %A Smith, Albert V %A Rossin, Elizabeth J %A Segrè, Ayellet V %A Davoudi, Samaneh %A Tan, Gavin S %A Chen, Yii-Der Ida %A Kuo, Jane Z %A Dimitrov, Latchezar M %A Stanwyck, Lynn K %A Meng, Weihua %A Hosseini, S Mohsen %A Imamura, Minako %A Nousome, Darryl %A Kim, Jihye %A Hai, Yang %A Jia, Yucheng %A Ahn, Jeeyun %A Leong, Aaron %A Shah, Kaanan %A Park, Kyu Hyung %A Guo, Xiuqing %A Ipp, Eli %A Taylor, Kent D %A Adler, Sharon G %A Sedor, John R %A Freedman, Barry I %A Lee, I-Te %A Sheu, Wayne H-H %A Kubo, Michiaki %A Takahashi, Atsushi %A Hadjadj, Samy %A Marre, Michel %A Trégouët, David-Alexandre %A McKean-Cowdin, Roberta %A Varma, Rohit %A McCarthy, Mark I %A Groop, Leif %A Ahlqvist, Emma %A Lyssenko, Valeriya %A Agardh, Elisabet %A Morris, Andrew %A Doney, Alex S F %A Colhoun, Helen M %A Toppila, Iiro %A Sandholm, Niina %A Groop, Per-Henrik %A Maeda, Shiro %A Hanis, Craig L %A Penman, Alan %A Chen, Ching J %A Hancock, Heather %A Mitchell, Paul %A Craig, Jamie E %A Chew, Emily Y %A Paterson, Andrew D %A Grassi, Michael A %A Palmer, Colin %A Bowden, Donald W %A Yaspan, Brian L %A Siscovick, David %A Cotch, Mary Frances %A Wang, Jie Jin %A Burdon, Kathryn P %A Wong, Tien Y %A Klein, Barbara E K %A Klein, Ronald %A Rotter, Jerome I %A Iyengar, Sudha K %A Price, Alkes L %A Sobrin, Lucia %X

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.

%B Diabetes %V 68 %P 441-456 %8 2019 Feb %G eng %N 2 %R 10.2337/db18-0567 %0 Journal Article %J Nat Genet %D 2019 %T Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels. %A Tin, Adrienne %A Marten, Jonathan %A Halperin Kuhns, Victoria L %A Li, Yong %A Wuttke, Matthias %A Kirsten, Holger %A Sieber, Karsten B %A Qiu, Chengxiang %A Gorski, Mathias %A Yu, Zhi %A Giri, Ayush %A Sveinbjornsson, Gardar %A Li, Man %A Chu, Audrey Y %A Hoppmann, Anselm %A O'Connor, Luke J %A Prins, Bram %A Nutile, Teresa %A Noce, Damia %A Akiyama, Masato %A Cocca, Massimiliano %A Ghasemi, Sahar %A van der Most, Peter J %A Horn, Katrin %A Xu, Yizhe %A Fuchsberger, Christian %A Sedaghat, Sanaz %A Afaq, Saima %A Amin, Najaf %A Arnlöv, Johan %A Bakker, Stephan J L %A Bansal, Nisha %A Baptista, Daniela %A Bergmann, Sven %A Biggs, Mary L %A Biino, Ginevra %A Boerwinkle, Eric %A Bottinger, Erwin P %A Boutin, Thibaud S %A Brumat, Marco %A Burkhardt, Ralph %A Campana, Eric %A Campbell, Archie %A Campbell, Harry %A Carroll, Robert J %A Catamo, Eulalia %A Chambers, John C %A Ciullo, Marina %A Concas, Maria Pina %A Coresh, Josef %A Corre, Tanguy %A Cusi, Daniele %A Felicita, Sala Cinzia %A de Borst, Martin H %A De Grandi, Alessandro %A de Mutsert, Renée %A de Vries, Aiko P J %A Delgado, Graciela %A Demirkan, Ayse %A Devuyst, Olivier %A Dittrich, Katalin %A Eckardt, Kai-Uwe %A Ehret, Georg %A Endlich, Karlhans %A Evans, Michele K %A Gansevoort, Ron T %A Gasparini, Paolo %A Giedraitis, Vilmantas %A Gieger, Christian %A Girotto, Giorgia %A Gögele, Martin %A Gordon, Scott D %A Gudbjartsson, Daniel F %A Gudnason, Vilmundur %A Haller, Toomas %A Hamet, Pavel %A Harris, Tamara B %A Hayward, Caroline %A Hicks, Andrew A %A Hofer, Edith %A Holm, Hilma %A Huang, Wei %A Hutri-Kähönen, Nina %A Hwang, Shih-Jen %A Ikram, M Arfan %A Lewis, Raychel M %A Ingelsson, Erik %A Jakobsdottir, Johanna %A Jonsdottir, Ingileif %A Jonsson, Helgi %A Joshi, Peter K %A Josyula, Navya Shilpa %A Jung, Bettina %A Kähönen, Mika %A Kamatani, Yoichiro %A Kanai, Masahiro %A Kerr, Shona M %A Kiess, Wieland %A Kleber, Marcus E %A Koenig, Wolfgang %A Kooner, Jaspal S %A Körner, Antje %A Kovacs, Peter %A Krämer, Bernhard K %A Kronenberg, Florian %A Kubo, Michiaki %A Kuhnel, Brigitte %A La Bianca, Martina %A Lange, Leslie A %A Lehne, Benjamin %A Lehtimäki, Terho %A Liu, Jun %A Loeffler, Markus %A Loos, Ruth J F %A Lyytikäinen, Leo-Pekka %A Mägi, Reedik %A Mahajan, Anubha %A Martin, Nicholas G %A März, Winfried %A Mascalzoni, Deborah %A Matsuda, Koichi %A Meisinger, Christa %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A O'Donnell, Christopher J %A Wilson, Otis D %A Gaziano, J Michael %A Mishra, Pashupati P %A Mohlke, Karen L %A Mononen, Nina %A Montgomery, Grant W %A Mook-Kanamori, Dennis O %A Müller-Nurasyid, Martina %A Nadkarni, Girish N %A Nalls, Mike A %A Nauck, Matthias %A Nikus, Kjell %A Ning, Boting %A Nolte, Ilja M %A Noordam, Raymond %A O'Connell, Jeffrey R %A Olafsson, Isleifur %A Padmanabhan, Sandosh %A Penninx, Brenda W J H %A Perls, Thomas %A Peters, Annette %A Pirastu, Mario %A Pirastu, Nicola %A Pistis, Giorgio %A Polasek, Ozren %A Ponte, Belen %A Porteous, David J %A Poulain, Tanja %A Preuss, Michael H %A Rabelink, Ton J %A Raffield, Laura M %A Raitakari, Olli T %A Rettig, Rainer %A Rheinberger, Myriam %A Rice, Kenneth M %A Rizzi, Federica %A Robino, Antonietta %A Rudan, Igor %A Krajcoviechova, Alena %A Cifkova, Renata %A Rueedi, Rico %A Ruggiero, Daniela %A Ryan, Kathleen A %A Saba, Yasaman %A Salvi, Erika %A Schmidt, Helena %A Schmidt, Reinhold %A Shaffer, Christian M %A Smith, Albert V %A Smith, Blair H %A Spracklen, Cassandra N %A Strauch, Konstantin %A Stumvoll, Michael %A Sulem, Patrick %A Tajuddin, Salman M %A Teren, Andrej %A Thiery, Joachim %A Thio, Chris H L %A Thorsteinsdottir, Unnur %A Toniolo, Daniela %A Tönjes, Anke %A Tremblay, Johanne %A Uitterlinden, André G %A Vaccargiu, Simona %A van der Harst, Pim %A van Duijn, Cornelia M %A Verweij, Niek %A Völker, Uwe %A Vollenweider, Peter %A Waeber, Gérard %A Waldenberger, Melanie %A Whitfield, John B %A Wild, Sarah H %A Wilson, James F %A Yang, Qiong %A Zhang, Weihua %A Zonderman, Alan B %A Bochud, Murielle %A Wilson, James G %A Pendergrass, Sarah A %A Ho, Kevin %A Parsa, Afshin %A Pramstaller, Peter P %A Psaty, Bruce M %A Böger, Carsten A %A Snieder, Harold %A Butterworth, Adam S %A Okada, Yukinori %A Edwards, Todd L %A Stefansson, Kari %A Susztak, Katalin %A Scholz, Markus %A Heid, Iris M %A Hung, Adriana M %A Teumer, Alexander %A Pattaro, Cristian %A Woodward, Owen M %A Vitart, Veronique %A Köttgen, Anna %X

Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.

%B Nat Genet %V 51 %P 1459-1474 %8 2019 Oct %G eng %N 10 %R 10.1038/s41588-019-0504-x %0 Journal Article %J Mol Psychiatry %D 2020 %T Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. %A de Las Fuentes, Lisa %A Sung, Yun Ju %A Noordam, Raymond %A Winkler, Thomas %A Feitosa, Mary F %A Schwander, Karen %A Bentley, Amy R %A Brown, Michael R %A Guo, Xiuqing %A Manning, Alisa %A Chasman, Daniel I %A Aschard, Hugues %A Bartz, Traci M %A Bielak, Lawrence F %A Campbell, Archie %A Cheng, Ching-Yu %A Dorajoo, Rajkumar %A Hartwig, Fernando P %A Horimoto, A R V R %A Li, Changwei %A Li-Gao, Ruifang %A Liu, Yongmei %A Marten, Jonathan %A Musani, Solomon K %A Ntalla, Ioanna %A Rankinen, Tuomo %A Richard, Melissa %A Sim, Xueling %A Smith, Albert V %A Tajuddin, Salman M %A Tayo, Bamidele O %A Vojinovic, Dina %A Warren, Helen R %A Xuan, Deng %A Alver, Maris %A Boissel, Mathilde %A Chai, Jin-Fang %A Chen, Xu %A Christensen, Kaare %A Divers, Jasmin %A Evangelou, Evangelos %A Gao, Chuan %A Girotto, Giorgia %A Harris, Sarah E %A He, Meian %A Hsu, Fang-Chi %A Kuhnel, Brigitte %A Laguzzi, Federica %A Li, Xiaoyin %A Lyytikäinen, Leo-Pekka %A Nolte, Ilja M %A Poveda, Alaitz %A Rauramaa, Rainer %A Riaz, Muhammad %A Rueedi, Rico %A Shu, Xiao-Ou %A Snieder, Harold %A Sofer, Tamar %A Takeuchi, Fumihiko %A Verweij, Niek %A Ware, Erin B %A Weiss, Stefan %A Yanek, Lisa R %A Amin, Najaf %A Arking, Dan E %A Arnett, Donna K %A Bergmann, Sven %A Boerwinkle, Eric %A Brody, Jennifer A %A Broeckel, Ulrich %A Brumat, Marco %A Burke, Gregory %A Cabrera, Claudia P %A Canouil, Mickaël %A Chee, Miao Li %A Chen, Yii-Der Ida %A Cocca, Massimiliano %A Connell, John %A de Silva, H Janaka %A de Vries, Paul S %A Eiriksdottir, Gudny %A Faul, Jessica D %A Fisher, Virginia %A Forrester, Terrence %A Fox, Ervin F %A Friedlander, Yechiel %A Gao, He %A Gigante, Bruna %A Giulianini, Franco %A Gu, Chi Charles %A Gu, Dongfeng %A Harris, Tamara B %A He, Jiang %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hunt, Steven %A Ikram, M Arfan %A Irvin, Marguerite R %A Kähönen, Mika %A Kavousi, Maryam %A Khor, Chiea Chuen %A Kilpeläinen, Tuomas O %A Koh, Woon-Puay %A Komulainen, Pirjo %A Kraja, Aldi T %A Krieger, J E %A Langefeld, Carl D %A Li, Yize %A Liang, Jingjing %A Liewald, David C M %A Liu, Ching-Ti %A Liu, Jianjun %A Lohman, Kurt K %A Mägi, Reedik %A McKenzie, Colin A %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A Milani, Lili %A Mook-Kanamori, Dennis O %A Nalls, Mike A %A Nelson, Christopher P %A Norris, Jill M %A O'Connell, Jeff %A Ogunniyi, Adesola %A Padmanabhan, Sandosh %A Palmer, Nicholette D %A Pedersen, Nancy L %A Perls, Thomas %A Peters, Annette %A Petersmann, Astrid %A Peyser, Patricia A %A Polasek, Ozren %A Porteous, David J %A Raffel, Leslie J %A Rice, Treva K %A Rotter, Jerome I %A Rudan, Igor %A Rueda-Ochoa, Oscar-Leonel %A Sabanayagam, Charumathi %A Salako, Babatunde L %A Schreiner, Pamela J %A Shikany, James M %A Sidney, Stephen S %A Sims, Mario %A Sitlani, Colleen M %A Smith, Jennifer A %A Starr, John M %A Strauch, Konstantin %A Swertz, Morris A %A Teumer, Alexander %A Tham, Yih Chung %A Uitterlinden, André G %A Vaidya, Dhananjay %A van der Ende, M Yldau %A Waldenberger, Melanie %A Wang, Lihua %A Wang, Ya-Xing %A Wei, Wen-Bin %A Weir, David R %A Wen, Wanqing %A Yao, Jie %A Yu, Bing %A Yu, Caizheng %A Yuan, Jian-Min %A Zhao, Wei %A Zonderman, Alan B %A Becker, Diane M %A Bowden, Donald W %A Deary, Ian J %A Dörr, Marcus %A Esko, Tõnu %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Jonas, Jost Bruno %A Kammerer, Candace M %A Kato, Norihiro %A Lakka, Timo A %A Leander, Karin %A Lehtimäki, Terho %A Magnusson, Patrik K E %A Marques-Vidal, Pedro %A Penninx, Brenda W J H %A Samani, Nilesh J %A van der Harst, Pim %A Wagenknecht, Lynne E %A Wu, Tangchun %A Zheng, Wei %A Zhu, Xiaofeng %A Bouchard, Claude %A Cooper, Richard S %A Correa, Adolfo %A Evans, Michele K %A Gudnason, Vilmundur %A Hayward, Caroline %A Horta, Bernardo L %A Kelly, Tanika N %A Kritchevsky, Stephen B %A Levy, Daniel %A Palmas, Walter R %A Pereira, A C %A Province, Michael M %A Psaty, Bruce M %A Ridker, Paul M %A Rotimi, Charles N %A Tai, E Shyong %A van Dam, Rob M %A van Duijn, Cornelia M %A Wong, Tien Yin %A Rice, Kenneth %A Gauderman, W James %A Morrison, Alanna C %A North, Kari E %A Kardia, Sharon L R %A Caulfield, Mark J %A Elliott, Paul %A Munroe, Patricia B %A Franks, Paul W %A Rao, Dabeeru C %A Fornage, Myriam %X

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.

%B Mol Psychiatry %8 2020 May 05 %G eng %R 10.1038/s41380-020-0719-3 %0 Journal Article %J Nature %D 2020 %T Inherited causes of clonal haematopoiesis in 97,691 whole genomes. %A Bick, Alexander G %A Weinstock, Joshua S %A Nandakumar, Satish K %A Fulco, Charles P %A Bao, Erik L %A Zekavat, Seyedeh M %A Szeto, Mindy D %A Liao, Xiaotian %A Leventhal, Matthew J %A Nasser, Joseph %A Chang, Kyle %A Laurie, Cecelia %A Burugula, Bala Bharathi %A Gibson, Christopher J %A Lin, Amy E %A Taub, Margaret A %A Aguet, Francois %A Ardlie, Kristin %A Mitchell, Braxton D %A Barnes, Kathleen C %A Moscati, Arden %A Fornage, Myriam %A Redline, Susan %A Psaty, Bruce M %A Silverman, Edwin K %A Weiss, Scott T %A Palmer, Nicholette D %A Vasan, Ramachandran S %A Burchard, Esteban G %A Kardia, Sharon L R %A He, Jiang %A Kaplan, Robert C %A Smith, Nicholas L %A Arnett, Donna K %A Schwartz, David A %A Correa, Adolfo %A de Andrade, Mariza %A Guo, Xiuqing %A Konkle, Barbara A %A Custer, Brian %A Peralta, Juan M %A Gui, Hongsheng %A Meyers, Deborah A %A McGarvey, Stephen T %A Chen, Ida Yii-Der %A Shoemaker, M Benjamin %A Peyser, Patricia A %A Broome, Jai G %A Gogarten, Stephanie M %A Wang, Fei Fei %A Wong, Quenna %A Montasser, May E %A Daya, Michelle %A Kenny, Eimear E %A North, Kari E %A Launer, Lenore J %A Cade, Brian E %A Bis, Joshua C %A Cho, Michael H %A Lasky-Su, Jessica %A Bowden, Donald W %A Cupples, L Adrienne %A Mak, Angel C Y %A Becker, Lewis C %A Smith, Jennifer A %A Kelly, Tanika N %A Aslibekyan, Stella %A Heckbert, Susan R %A Tiwari, Hemant K %A Yang, Ivana V %A Heit, John A %A Lubitz, Steven A %A Johnsen, Jill M %A Curran, Joanne E %A Wenzel, Sally E %A Weeks, Daniel E %A Rao, Dabeeru C %A Darbar, Dawood %A Moon, Jee-Young %A Tracy, Russell P %A Buth, Erin J %A Rafaels, Nicholas %A Loos, Ruth J F %A Durda, Peter %A Liu, Yongmei %A Hou, Lifang %A Lee, Jiwon %A Kachroo, Priyadarshini %A Freedman, Barry I %A Levy, Daniel %A Bielak, Lawrence F %A Hixson, James E %A Floyd, James S %A Whitsel, Eric A %A Ellinor, Patrick T %A Irvin, Marguerite R %A Fingerlin, Tasha E %A Raffield, Laura M %A Armasu, Sebastian M %A Wheeler, Marsha M %A Sabino, Ester C %A Blangero, John %A Williams, L Keoki %A Levy, Bruce D %A Sheu, Wayne Huey-Herng %A Roden, Dan M %A Boerwinkle, Eric %A Manson, JoAnn E %A Mathias, Rasika A %A Desai, Pinkal %A Taylor, Kent D %A Johnson, Andrew D %A Auer, Paul L %A Kooperberg, Charles %A Laurie, Cathy C %A Blackwell, Thomas W %A Smith, Albert V %A Zhao, Hongyu %A Lange, Ethan %A Lange, Leslie %A Rich, Stephen S %A Rotter, Jerome I %A Wilson, James G %A Scheet, Paul %A Kitzman, Jacob O %A Lander, Eric S %A Engreitz, Jesse M %A Ebert, Benjamin L %A Reiner, Alexander P %A Jaiswal, Siddhartha %A Abecasis, Goncalo %A Sankaran, Vijay G %A Kathiresan, Sekar %A Natarajan, Pradeep %X

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.

%B Nature %V 586 %P 763-768 %8 2020 10 %G eng %N 7831 %R 10.1038/s41586-020-2819-2 %0 Journal Article %J Nat Commun %D 2020 %T Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction. %A Ntalla, Ioanna %A Weng, Lu-Chen %A Cartwright, James H %A Hall, Amelia Weber %A Sveinbjornsson, Gardar %A Tucker, Nathan R %A Choi, Seung Hoan %A Chaffin, Mark D %A Roselli, Carolina %A Barnes, Michael R %A Mifsud, Borbala %A Warren, Helen R %A Hayward, Caroline %A Marten, Jonathan %A Cranley, James J %A Concas, Maria Pina %A Gasparini, Paolo %A Boutin, Thibaud %A Kolcic, Ivana %A Polasek, Ozren %A Rudan, Igor %A Araujo, Nathalia M %A Lima-Costa, Maria Fernanda %A Ribeiro, Antonio Luiz P %A Souza, Renan P %A Tarazona-Santos, Eduardo %A Giedraitis, Vilmantas %A Ingelsson, Erik %A Mahajan, Anubha %A Morris, Andrew P %A del Greco M, Fabiola %A Foco, Luisa %A Gögele, Martin %A Hicks, Andrew A %A Cook, James P %A Lind, Lars %A Lindgren, Cecilia M %A Sundström, Johan %A Nelson, Christopher P %A Riaz, Muhammad B %A Samani, Nilesh J %A Sinagra, Gianfranco %A Ulivi, Sheila %A Kähönen, Mika %A Mishra, Pashupati P %A Mononen, Nina %A Nikus, Kjell %A Caulfield, Mark J %A Dominiczak, Anna %A Padmanabhan, Sandosh %A Montasser, May E %A O'Connell, Jeff R %A Ryan, Kathleen %A Shuldiner, Alan R %A Aeschbacher, Stefanie %A Conen, David %A Risch, Lorenz %A Thériault, Sébastien %A Hutri-Kähönen, Nina %A Lehtimäki, Terho %A Lyytikäinen, Leo-Pekka %A Raitakari, Olli T %A Barnes, Catriona L K %A Campbell, Harry %A Joshi, Peter K %A Wilson, James F %A Isaacs, Aaron %A Kors, Jan A %A van Duijn, Cornelia M %A Huang, Paul L %A Gudnason, Vilmundur %A Harris, Tamara B %A Launer, Lenore J %A Smith, Albert V %A Bottinger, Erwin P %A Loos, Ruth J F %A Nadkarni, Girish N %A Preuss, Michael H %A Correa, Adolfo %A Mei, Hao %A Wilson, James %A Meitinger, Thomas %A Müller-Nurasyid, Martina %A Peters, Annette %A Waldenberger, Melanie %A Mangino, Massimo %A Spector, Timothy D %A Rienstra, Michiel %A van de Vegte, Yordi J %A van der Harst, Pim %A Verweij, Niek %A Kääb, Stefan %A Schramm, Katharina %A Sinner, Moritz F %A Strauch, Konstantin %A Cutler, Michael J %A Fatkin, Diane %A London, Barry %A Olesen, Morten %A Roden, Dan M %A Benjamin Shoemaker, M %A Gustav Smith, J %A Biggs, Mary L %A Bis, Joshua C %A Brody, Jennifer A %A Psaty, Bruce M %A Rice, Kenneth %A Sotoodehnia, Nona %A De Grandi, Alessandro %A Fuchsberger, Christian %A Pattaro, Cristian %A Pramstaller, Peter P %A Ford, Ian %A Wouter Jukema, J %A Macfarlane, Peter W %A Trompet, Stella %A Dörr, Marcus %A Felix, Stephan B %A Völker, Uwe %A Weiss, Stefan %A Havulinna, Aki S %A Jula, Antti %A Sääksjärvi, Katri %A Salomaa, Veikko %A Guo, Xiuqing %A Heckbert, Susan R %A Lin, Henry J %A Rotter, Jerome I %A Taylor, Kent D %A Yao, Jie %A de Mutsert, Renée %A Maan, Arie C %A Mook-Kanamori, Dennis O %A Noordam, Raymond %A Cucca, Francesco %A Ding, Jun %A Lakatta, Edward G %A Qian, Yong %A Tarasov, Kirill V %A Levy, Daniel %A Lin, Honghuang %A Newton-Cheh, Christopher H %A Lunetta, Kathryn L %A Murray, Alison D %A Porteous, David J %A Smith, Blair H %A Stricker, Bruno H %A Uitterlinden, Andre %A van den Berg, Marten E %A Haessler, Jeffrey %A Jackson, Rebecca D %A Kooperberg, Charles %A Peters, Ulrike %A Reiner, Alexander P %A Whitsel, Eric A %A Alonso, Alvaro %A Arking, Dan E %A Boerwinkle, Eric %A Ehret, Georg B %A Soliman, Elsayed Z %A Avery, Christy L %A Gogarten, Stephanie M %A Kerr, Kathleen F %A Laurie, Cathy C %A Seyerle, Amanda A %A Stilp, Adrienne %A Assa, Solmaz %A Abdullah Said, M %A Yldau van der Ende, M %A Lambiase, Pier D %A Orini, Michele %A Ramirez, Julia %A Van Duijvenboden, Stefan %A Arnar, David O %A Gudbjartsson, Daniel F %A Holm, Hilma %A Sulem, Patrick %A Thorleifsson, Gudmar %A Thorolfsdottir, Rosa B %A Thorsteinsdottir, Unnur %A Benjamin, Emelia J %A Tinker, Andrew %A Stefansson, Kari %A Ellinor, Patrick T %A Jamshidi, Yalda %A Lubitz, Steven A %A Munroe, Patricia B %X

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.

%B Nat Commun %V 11 %P 2542 %8 2020 May 21 %G eng %N 1 %R 10.1038/s41467-020-15706-x %0 Journal Article %J Transl Psychiatry %D 2021 %T Association of low-frequency and rare coding variants with information processing speed. %A Bressler, Jan %A Davies, Gail %A Smith, Albert V %A Saba, Yasaman %A Bis, Joshua C %A Jian, Xueqiu %A Hayward, Caroline %A Yanek, Lisa %A Smith, Jennifer A %A Mirza, Saira S %A Wang, Ruiqi %A Adams, Hieab H H %A Becker, Diane %A Boerwinkle, Eric %A Campbell, Archie %A Cox, Simon R %A Eiriksdottir, Gudny %A Fawns-Ritchie, Chloe %A Gottesman, Rebecca F %A Grove, Megan L %A Guo, Xiuqing %A Hofer, Edith %A Kardia, Sharon L R %A Knol, Maria J %A Koini, Marisa %A Lopez, Oscar L %A Marioni, Riccardo E %A Nyquist, Paul %A Pattie, Alison %A Polasek, Ozren %A Porteous, David J %A Rudan, Igor %A Satizabal, Claudia L %A Schmidt, Helena %A Schmidt, Reinhold %A Sidney, Stephen %A Simino, Jeannette %A Smith, Blair H %A Turner, Stephen T %A van der Lee, Sven J %A Ware, Erin B %A Whitmer, Rachel A %A Yaffe, Kristine %A Yang, Qiong %A Zhao, Wei %A Gudnason, Vilmundur %A Launer, Lenore J %A Fitzpatrick, Annette L %A Psaty, Bruce M %A Fornage, Myriam %A Arfan Ikram, M %A van Duijn, Cornelia M %A Seshadri, Sudha %A Mosley, Thomas H %A Deary, Ian J %K Adult %K Aging %K Cognition %K Genome-Wide Association Study %K Geroscience %K Humans %K Polymorphism, Single Nucleotide %K Ubiquitin-Protein Ligases %X

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.

%B Transl Psychiatry %V 11 %P 613 %8 2021 12 04 %G eng %N 1 %R 10.1038/s41398-021-01736-6 %0 Journal Article %J Nat Commun %D 2021 %T Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices. %A Natarajan, Pradeep %A Pampana, Akhil %A Graham, Sarah E %A Ruotsalainen, Sanni E %A Perry, James A %A de Vries, Paul S %A Broome, Jai G %A Pirruccello, James P %A Honigberg, Michael C %A Aragam, Krishna %A Wolford, Brooke %A Brody, Jennifer A %A Antonacci-Fulton, Lucinda %A Arden, Moscati %A Aslibekyan, Stella %A Assimes, Themistocles L %A Ballantyne, Christie M %A Bielak, Lawrence F %A Bis, Joshua C %A Cade, Brian E %A Do, Ron %A Doddapaneni, Harsha %A Emery, Leslie S %A Hung, Yi-Jen %A Irvin, Marguerite R %A Khan, Alyna T %A Lange, Leslie %A Lee, Jiwon %A Lemaitre, Rozenn N %A Martin, Lisa W %A Metcalf, Ginger %A Montasser, May E %A Moon, Jee-Young %A Muzny, Donna %A O'Connell, Jeffrey R %A Palmer, Nicholette D %A Peralta, Juan M %A Peyser, Patricia A %A Stilp, Adrienne M %A Tsai, Michael %A Wang, Fei Fei %A Weeks, Daniel E %A Yanek, Lisa R %A Wilson, James G %A Abecasis, Goncalo %A Arnett, Donna K %A Becker, Lewis C %A Blangero, John %A Boerwinkle, Eric %A Bowden, Donald W %A Chang, Yi-Cheng %A Chen, Yii-der I %A Choi, Won Jung %A Correa, Adolfo %A Curran, Joanne E %A Daly, Mark J %A Dutcher, Susan K %A Ellinor, Patrick T %A Fornage, Myriam %A Freedman, Barry I %A Gabriel, Stacey %A Germer, Soren %A Gibbs, Richard A %A He, Jiang %A Hveem, Kristian %A Jarvik, Gail P %A Kaplan, Robert C %A Kardia, Sharon L R %A Kenny, Eimear %A Kim, Ryan W %A Kooperberg, Charles %A Laurie, Cathy C %A Lee, Seonwook %A Lloyd-Jones, Don M %A Loos, Ruth J F %A Lubitz, Steven A %A Mathias, Rasika A %A Martinez, Karine A Viaud %A McGarvey, Stephen T %A Mitchell, Braxton D %A Nickerson, Deborah A %A North, Kari E %A Palotie, Aarno %A Park, Cheol Joo %A Psaty, Bruce M %A Rao, D C %A Redline, Susan %A Reiner, Alexander P %A Seo, Daekwan %A Seo, Jeong-Sun %A Smith, Albert V %A Tracy, Russell P %A Vasan, Ramachandran S %A Kathiresan, Sekar %A Cupples, L Adrienne %A Rotter, Jerome I %A Morrison, Alanna C %A Rich, Stephen S %A Ripatti, Samuli %A Willer, Cristen %A Peloso, Gina M %X

Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 × 10), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 × 10), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 × 10). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids.

%B Nat Commun %V 12 %P 2182 %8 2021 04 12 %G eng %N 1 %R 10.1038/s41467-021-22339-1 %0 Journal Article %J Nature %D 2021 %T Genetic insights into biological mechanisms governing human ovarian ageing. %A Ruth, Katherine S %A Day, Felix R %A Hussain, Jazib %A Martínez-Marchal, Ana %A Aiken, Catherine E %A Azad, Ajuna %A Thompson, Deborah J %A Knoblochova, Lucie %A Abe, Hironori %A Tarry-Adkins, Jane L %A Gonzalez, Javier Martin %A Fontanillas, Pierre %A Claringbould, Annique %A Bakker, Olivier B %A Sulem, Patrick %A Walters, Robin G %A Terao, Chikashi %A Turon, Sandra %A Horikoshi, Momoko %A Lin, Kuang %A Onland-Moret, N Charlotte %A Sankar, Aditya %A Hertz, Emil Peter Thrane %A Timshel, Pascal N %A Shukla, Vallari %A Borup, Rehannah %A Olsen, Kristina W %A Aguilera, Paula %A Ferrer-Roda, Mònica %A Huang, Yan %A Stankovic, Stasa %A Timmers, Paul R H J %A Ahearn, Thomas U %A Alizadeh, Behrooz Z %A Naderi, Elnaz %A Andrulis, Irene L %A Arnold, Alice M %A Aronson, Kristan J %A Augustinsson, Annelie %A Bandinelli, Stefania %A Barbieri, Caterina M %A Beaumont, Robin N %A Becher, Heiko %A Beckmann, Matthias W %A Benonisdottir, Stefania %A Bergmann, Sven %A Bochud, Murielle %A Boerwinkle, Eric %A Bojesen, Stig E %A Bolla, Manjeet K %A Boomsma, Dorret I %A Bowker, Nicholas %A Brody, Jennifer A %A Broer, Linda %A Buring, Julie E %A Campbell, Archie %A Campbell, Harry %A Castelao, Jose E %A Catamo, Eulalia %A Chanock, Stephen J %A Chenevix-Trench, Georgia %A Ciullo, Marina %A Corre, Tanguy %A Couch, Fergus J %A Cox, Angela %A Crisponi, Laura %A Cross, Simon S %A Cucca, Francesco %A Czene, Kamila %A Smith, George Davey %A de Geus, Eco J C N %A de Mutsert, Renée %A De Vivo, Immaculata %A Demerath, Ellen W %A Dennis, Joe %A Dunning, Alison M %A Dwek, Miriam %A Eriksson, Mikael %A Esko, Tõnu %A Fasching, Peter A %A Faul, Jessica D %A Ferrucci, Luigi %A Franceschini, Nora %A Frayling, Timothy M %A Gago-Dominguez, Manuela %A Mezzavilla, Massimo %A García-Closas, Montserrat %A Gieger, Christian %A Giles, Graham G %A Grallert, Harald %A Gudbjartsson, Daniel F %A Gudnason, Vilmundur %A Guénel, Pascal %A Haiman, Christopher A %A Håkansson, Niclas %A Hall, Per %A Hayward, Caroline %A He, Chunyan %A He, Wei %A Heiss, Gerardo %A Høffding, Miya K %A Hopper, John L %A Hottenga, Jouke J %A Hu, Frank %A Hunter, David %A Ikram, Mohammad A %A Jackson, Rebecca D %A Joaquim, Micaella D R %A John, Esther M %A Joshi, Peter K %A Karasik, David %A Kardia, Sharon L R %A Kartsonaki, Christiana %A Karlsson, Robert %A Kitahara, Cari M %A Kolcic, Ivana %A Kooperberg, Charles %A Kraft, Peter %A Kurian, Allison W %A Kutalik, Zoltán %A La Bianca, Martina %A Lachance, Genevieve %A Langenberg, Claudia %A Launer, Lenore J %A Laven, Joop S E %A Lawlor, Deborah A %A Le Marchand, Loïc %A Li, Jingmei %A Lindblom, Annika %A Lindström, Sara %A Lindstrom, Tricia %A Linet, Martha %A Liu, Yongmei %A Liu, Simin %A Luan, Jian'an %A Mägi, Reedik %A Magnusson, Patrik K E %A Mangino, Massimo %A Mannermaa, Arto %A Marco, Brumat %A Marten, Jonathan %A Martin, Nicholas G %A Mbarek, Hamdi %A McKnight, Barbara %A Medland, Sarah E %A Meisinger, Christa %A Meitinger, Thomas %A Menni, Cristina %A Metspalu, Andres %A Milani, Lili %A Milne, Roger L %A Montgomery, Grant W %A Mook-Kanamori, Dennis O %A Mulas, Antonella %A Mulligan, Anna M %A Murray, Alison %A Nalls, Mike A %A Newman, Anne %A Noordam, Raymond %A Nutile, Teresa %A Nyholt, Dale R %A Olshan, Andrew F %A Olsson, Håkan %A Painter, Jodie N %A Patel, Alpa V %A Pedersen, Nancy L %A Perjakova, Natalia %A Peters, Annette %A Peters, Ulrike %A Pharoah, Paul D P %A Polasek, Ozren %A Porcu, Eleonora %A Psaty, Bruce M %A Rahman, Iffat %A Rennert, Gad %A Rennert, Hedy S %A Ridker, Paul M %A Ring, Susan M %A Robino, Antonietta %A Rose, Lynda M %A Rosendaal, Frits R %A Rossouw, Jacques %A Rudan, Igor %A Rueedi, Rico %A Ruggiero, Daniela %A Sala, Cinzia F %A Saloustros, Emmanouil %A Sandler, Dale P %A Sanna, Serena %A Sawyer, Elinor J %A Sarnowski, Chloe %A Schlessinger, David %A Schmidt, Marjanka K %A Schoemaker, Minouk J %A Schraut, Katharina E %A Scott, Christopher %A Shekari, Saleh %A Shrikhande, Amruta %A Smith, Albert V %A Smith, Blair H %A Smith, Jennifer A %A Sorice, Rossella %A Southey, Melissa C %A Spector, Tim D %A Spinelli, John J %A Stampfer, Meir %A Stöckl, Doris %A van Meurs, Joyce B J %A Strauch, Konstantin %A Styrkarsdottir, Unnur %A Swerdlow, Anthony J %A Tanaka, Toshiko %A Teras, Lauren R %A Teumer, Alexander %A Þorsteinsdottir, Unnur %A Timpson, Nicholas J %A Toniolo, Daniela %A Traglia, Michela %A Troester, Melissa A %A Truong, Thérèse %A Tyrrell, Jessica %A Uitterlinden, André G %A Ulivi, Sheila %A Vachon, Celine M %A Vitart, Veronique %A Völker, Uwe %A Vollenweider, Peter %A Völzke, Henry %A Wang, Qin %A Wareham, Nicholas J %A Weinberg, Clarice R %A Weir, David R %A Wilcox, Amber N %A van Dijk, Ko Willems %A Willemsen, Gonneke %A Wilson, James F %A Wolffenbuttel, Bruce H R %A Wolk, Alicja %A Wood, Andrew R %A Zhao, Wei %A Zygmunt, Marek %A Chen, Zhengming %A Li, Liming %A Franke, Lude %A Burgess, Stephen %A Deelen, Patrick %A Pers, Tune H %A Grøndahl, Marie Louise %A Andersen, Claus Yding %A Pujol, Anna %A Lopez-Contreras, Andres J %A Daniel, Jeremy A %A Stefansson, Kari %A Chang-Claude, Jenny %A van der Schouw, Yvonne T %A Lunetta, Kathryn L %A Chasman, Daniel I %A Easton, Douglas F %A Visser, Jenny A %A Ozanne, Susan E %A Namekawa, Satoshi H %A Solc, Petr %A Murabito, Joanne M %A Ong, Ken K %A Hoffmann, Eva R %A Murray, Anna %A Roig, Ignasi %A Perry, John R B %X

Reproductive longevity is essential for fertility and influences healthy ageing in women, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.

%B Nature %V 596 %P 393-397 %8 2021 Aug %G eng %N 7872 %R 10.1038/s41586-021-03779-7 %0 Journal Article %J PLoS One %D 2021 %T Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program. %A Sarnowski, Chloe %A Chen, Han %A Biggs, Mary L %A Wassertheil-Smoller, Sylvia %A Bressler, Jan %A Irvin, Marguerite R %A Ryan, Kathleen A %A Karasik, David %A Arnett, Donna K %A Cupples, L Adrienne %A Fardo, David W %A Gogarten, Stephanie M %A Heavner, Benjamin D %A Jain, Deepti %A Kang, Hyun Min %A Kooperberg, Charles %A Mainous, Arch G %A Mitchell, Braxton D %A Morrison, Alanna C %A O'Connell, Jeffrey R %A Psaty, Bruce M %A Rice, Kenneth %A Smith, Albert V %A Vasan, Ramachandran S %A Windham, B Gwen %A Kiel, Douglas P %A Murabito, Joanne M %A Lunetta, Kathryn L %X

Handgrip strength is a widely used measure of muscle strength and a predictor of a range of morbidities including cardiovascular diseases and all-cause mortality. Previous genome-wide association studies of handgrip strength have focused on common variants primarily in persons of European descent. We aimed to identify rare and ancestry-specific genetic variants associated with handgrip strength by conducting whole-genome sequence association analyses using 13,552 participants from six studies representing diverse population groups from the Trans-Omics in Precision Medicine (TOPMed) Program. By leveraging multiple handgrip strength measures performed in study participants over time, we increased our effective sample size by 7-12%. Single-variant analyses identified ten handgrip strength loci among African-Americans: four rare variants, five low-frequency variants, and one common variant. One significant and four suggestive genes were identified associated with handgrip strength when aggregating rare and functional variants; all associations were ancestry-specific. We additionally leveraged the different ancestries available in the UK Biobank to further explore the ancestry-specific association signals from the single-variant association analyses. In conclusion, our study identified 11 new loci associated with handgrip strength with rare and/or ancestry-specific genetic variations, highlighting the added value of whole-genome sequencing in diverse samples. Several of the associations identified using single-variant or aggregate analyses lie in genes with a function relevant to the brain or muscle or were reported to be associated with muscle or age-related traits. Further studies in samples with sequence data and diverse ancestries are needed to confirm these findings.

%B PLoS One %V 16 %P e0253611 %8 2021 %G eng %N 7 %R 10.1371/journal.pone.0253611 %0 Journal Article %J HGG Adv %D 2021 %T Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. %A Sun, Daokun %A Richard, Melissa %A Musani, Solomon K %A Sung, Yun Ju %A Winkler, Thomas W %A Schwander, Karen %A Chai, Jin Fang %A Guo, Xiuqing %A Kilpeläinen, Tuomas O %A Vojinovic, Dina %A Aschard, Hugues %A Bartz, Traci M %A Bielak, Lawrence F %A Brown, Michael R %A Chitrala, Kumaraswamy %A Hartwig, Fernando P %A Horimoto, Andrea R V R %A Liu, Yongmei %A Manning, Alisa K %A Noordam, Raymond %A Smith, Albert V %A Harris, Sarah E %A Kuhnel, Brigitte %A Lyytikäinen, Leo-Pekka %A Nolte, Ilja M %A Rauramaa, Rainer %A van der Most, Peter J %A Wang, Rujia %A Ware, Erin B %A Weiss, Stefan %A Wen, Wanqing %A Yanek, Lisa R %A Arking, Dan E %A Arnett, Donna K %A Barac, Ana %A Boerwinkle, Eric %A Broeckel, Ulrich %A Chakravarti, Aravinda %A Chen, Yii-Der Ida %A Cupples, L Adrienne %A Davigulus, Martha L %A de Las Fuentes, Lisa %A de Mutsert, Renée %A de Vries, Paul S %A Delaney, Joseph A C %A Roux, Ana V Diez %A Dörr, Marcus %A Faul, Jessica D %A Fretts, Amanda M %A Gallo, Linda C %A Grabe, Hans Jörgen %A Gu, C Charles %A Harris, Tamara B %A Hartman, Catharina C A %A Heikkinen, Sami %A Ikram, M Arfan %A Isasi, Carmen %A Johnson, W Craig %A Jonas, Jost Bruno %A Kaplan, Robert C %A Komulainen, Pirjo %A Krieger, Jose E %A Levy, Daniel %A Liu, Jianjun %A Lohman, Kurt %A Luik, Annemarie I %A Martin, Lisa W %A Meitinger, Thomas %A Milaneschi, Yuri %A O'Connell, Jeff R %A Palmas, Walter R %A Peters, Annette %A Peyser, Patricia A %A Pulkki-Råback, Laura %A Raffel, Leslie J %A Reiner, Alex P %A Rice, Kenneth %A Robinson, Jennifer G %A Rosendaal, Frits R %A Schmidt, Carsten Oliver %A Schreiner, Pamela J %A Schwettmann, Lars %A Shikany, James M %A Shu, Xiao-Ou %A Sidney, Stephen %A Sims, Mario %A Smith, Jennifer A %A Sotoodehnia, Nona %A Strauch, Konstantin %A Tai, E Shyong %A Taylor, Kent %A Uitterlinden, André G %A van Duijn, Cornelia M %A Waldenberger, Melanie %A Wee, Hwee-Lin %A Wei, Wen-Bin %A Wilson, Gregory %A Xuan, Deng %A Yao, Jie %A Zeng, Donglin %A Zhao, Wei %A Zhu, Xiaofeng %A Zonderman, Alan B %A Becker, Diane M %A Deary, Ian J %A Gieger, Christian %A Lakka, Timo A %A Lehtimäki, Terho %A North, Kari E %A Oldehinkel, Albertine J %A Penninx, Brenda W J H %A Snieder, Harold %A Wang, Ya-Xing %A Weir, David R %A Zheng, Wei %A Evans, Michele K %A Gauderman, W James %A Gudnason, Vilmundur %A Horta, Bernardo L %A Liu, Ching-Ti %A Mook-Kanamori, Dennis O %A Morrison, Alanna C %A Pereira, Alexandre C %A Psaty, Bruce M %A Amin, Najaf %A Fox, Ervin R %A Kooperberg, Charles %A Sim, Xueling %A Bierut, Laura %A Rotter, Jerome I %A Kardia, Sharon L R %A Franceschini, Nora %A Rao, Dabeeru C %A Fornage, Myriam %X

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.

%B HGG Adv %V 2 %8 2021 Jan 14 %G eng %N 1 %R 10.1016/j.xhgg.2020.100013 %0 Journal Article %J Circ Genom Precis Med %D 2021 %T Multiethnic Genome-Wide Association Study of Subclinical Atherosclerosis in Individuals With Type 2 Diabetes. %A Lu, Yingchang %A Dimitrov, Latchezar %A Chen, Shyh-Huei %A Bielak, Lawrence F %A Bis, Joshua C %A Feitosa, Mary F %A Lu, Lingyi %A Kavousi, Maryam %A Raffield, Laura M %A Smith, Albert V %A Wang, Lihua %A Weiss, Stefan %A Yao, Jie %A Zhu, Jiaxi %A Gudmundsson, Elias F %A Gudmundsdottir, Valborg %A Bos, Daniel %A Ghanbari, Mohsen %A Ikram, M Arfan %A Hwang, Shih-Jen %A Taylor, Kent D %A Budoff, Matthew J %A Gislason, Gauti K %A O'Donnell, Christopher J %A An, Ping %A Franceschini, Nora %A Freedman, Barry I %A Fu, Yi-Ping %A Guo, Xiuqing %A Heiss, Gerardo %A Kardia, Sharon L R %A Wilson, James G %A Langefeld, Carl D %A Schminke, Ulf %A Uitterlinden, André G %A Lange, Leslie A %A Peyser, Patricia A %A Gudnason, Vilmundur G %A Psaty, Bruce M %A Rotter, Jerome I %A Bowden, Donald W %A Ng, Maggie C Y %X

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.

%B Circ Genom Precis Med %V 14 %P e003258 %8 2021 Aug %G eng %N 4 %R 10.1161/CIRCGEN.120.003258 %0 Journal Article %J Nature %D 2021 %T Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. %A Taliun, Daniel %A Harris, Daniel N %A Kessler, Michael D %A Carlson, Jedidiah %A Szpiech, Zachary A %A Torres, Raul %A Taliun, Sarah A Gagliano %A Corvelo, André %A Gogarten, Stephanie M %A Kang, Hyun Min %A Pitsillides, Achilleas N %A LeFaive, Jonathon %A Lee, Seung-Been %A Tian, Xiaowen %A Browning, Brian L %A Das, Sayantan %A Emde, Anne-Katrin %A Clarke, Wayne E %A Loesch, Douglas P %A Shetty, Amol C %A Blackwell, Thomas W %A Smith, Albert V %A Wong, Quenna %A Liu, Xiaoming %A Conomos, Matthew P %A Bobo, Dean M %A Aguet, Francois %A Albert, Christine %A Alonso, Alvaro %A Ardlie, Kristin G %A Arking, Dan E %A Aslibekyan, Stella %A Auer, Paul L %A Barnard, John %A Barr, R Graham %A Barwick, Lucas %A Becker, Lewis C %A Beer, Rebecca L %A Benjamin, Emelia J %A Bielak, Lawrence F %A Blangero, John %A Boehnke, Michael %A Bowden, Donald W %A Brody, Jennifer A %A Burchard, Esteban G %A Cade, Brian E %A Casella, James F %A Chalazan, Brandon %A Chasman, Daniel I %A Chen, Yii-Der Ida %A Cho, Michael H %A Choi, Seung Hoan %A Chung, Mina K %A Clish, Clary B %A Correa, Adolfo %A Curran, Joanne E %A Custer, Brian %A Darbar, Dawood %A Daya, Michelle %A de Andrade, Mariza %A DeMeo, Dawn L %A Dutcher, Susan K %A Ellinor, Patrick T %A Emery, Leslie S %A Eng, Celeste %A Fatkin, Diane %A Fingerlin, Tasha %A Forer, Lukas %A Fornage, Myriam %A Franceschini, Nora %A Fuchsberger, Christian %A Fullerton, Stephanie M %A Germer, Soren %A Gladwin, Mark T %A Gottlieb, Daniel J %A Guo, Xiuqing %A Hall, Michael E %A He, Jiang %A Heard-Costa, Nancy L %A Heckbert, Susan R %A Irvin, Marguerite R %A Johnsen, Jill M %A Johnson, Andrew D %A Kaplan, Robert %A Kardia, Sharon L R %A Kelly, Tanika %A Kelly, Shannon %A Kenny, Eimear E %A Kiel, Douglas P %A Klemmer, Robert %A Konkle, Barbara A %A Kooperberg, Charles %A Köttgen, Anna %A Lange, Leslie A %A Lasky-Su, Jessica %A Levy, Daniel %A Lin, Xihong %A Lin, Keng-Han %A Liu, Chunyu %A Loos, Ruth J F %A Garman, Lori %A Gerszten, Robert %A Lubitz, Steven A %A Lunetta, Kathryn L %A Mak, Angel C Y %A Manichaikul, Ani %A Manning, Alisa K %A Mathias, Rasika A %A McManus, David D %A McGarvey, Stephen T %A Meigs, James B %A Meyers, Deborah A %A Mikulla, Julie L %A Minear, Mollie A %A Mitchell, Braxton D %A Mohanty, Sanghamitra %A Montasser, May E %A Montgomery, Courtney %A Morrison, Alanna C %A Murabito, Joanne M %A Natale, Andrea %A Natarajan, Pradeep %A Nelson, Sarah C %A North, Kari E %A O'Connell, Jeffrey R %A Palmer, Nicholette D %A Pankratz, Nathan %A Peloso, Gina M %A Peyser, Patricia A %A Pleiness, Jacob %A Post, Wendy S %A Psaty, Bruce M %A Rao, D C %A Redline, Susan %A Reiner, Alexander P %A Roden, Dan %A Rotter, Jerome I %A Ruczinski, Ingo %A Sarnowski, Chloe %A Schoenherr, Sebastian %A Schwartz, David A %A Seo, Jeong-Sun %A Seshadri, Sudha %A Sheehan, Vivien A %A Sheu, Wayne H %A Shoemaker, M Benjamin %A Smith, Nicholas L %A Smith, Jennifer A %A Sotoodehnia, Nona %A Stilp, Adrienne M %A Tang, Weihong %A Taylor, Kent D %A Telen, Marilyn %A Thornton, Timothy A %A Tracy, Russell P %A Van Den Berg, David J %A Vasan, Ramachandran S %A Viaud-Martinez, Karine A %A Vrieze, Scott %A Weeks, Daniel E %A Weir, Bruce S %A Weiss, Scott T %A Weng, Lu-Chen %A Willer, Cristen J %A Zhang, Yingze %A Zhao, Xutong %A Arnett, Donna K %A Ashley-Koch, Allison E %A Barnes, Kathleen C %A Boerwinkle, Eric %A Gabriel, Stacey %A Gibbs, Richard %A Rice, Kenneth M %A Rich, Stephen S %A Silverman, Edwin K %A Qasba, Pankaj %A Gan, Weiniu %A Papanicolaou, George J %A Nickerson, Deborah A %A Browning, Sharon R %A Zody, Michael C %A Zöllner, Sebastian %A Wilson, James G %A Cupples, L Adrienne %A Laurie, Cathy C %A Jaquish, Cashell E %A Hernandez, Ryan D %A O'Connor, Timothy D %A Abecasis, Goncalo R %X

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%.

%B Nature %V 590 %P 290-299 %8 2021 02 %G eng %N 7845 %R 10.1038/s41586-021-03205-y %0 Journal Article %J EBioMedicine %D 2021 %T Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium. %A Lin, Bridget M %A Grinde, Kelsey E %A Brody, Jennifer A %A Breeze, Charles E %A Raffield, Laura M %A Mychaleckyj, Josyf C %A Thornton, Timothy A %A Perry, James A %A Baier, Leslie J %A de Las Fuentes, Lisa %A Guo, Xiuqing %A Heavner, Benjamin D %A Hanson, Robert L %A Hung, Yi-Jen %A Qian, Huijun %A Hsiung, Chao A %A Hwang, Shih-Jen %A Irvin, Margaret R %A Jain, Deepti %A Kelly, Tanika N %A Kobes, Sayuko %A Lange, Leslie %A Lash, James P %A Li, Yun %A Liu, Xiaoming %A Mi, Xuenan %A Musani, Solomon K %A Papanicolaou, George J %A Parsa, Afshin %A Reiner, Alex P %A Salimi, Shabnam %A Sheu, Wayne H-H %A Shuldiner, Alan R %A Taylor, Kent D %A Smith, Albert V %A Smith, Jennifer A %A Tin, Adrienne %A Vaidya, Dhananjay %A Wallace, Robert B %A Yamamoto, Kenichi %A Sakaue, Saori %A Matsuda, Koichi %A Kamatani, Yoichiro %A Momozawa, Yukihide %A Yanek, Lisa R %A Young, Betsi A %A Zhao, Wei %A Okada, Yukinori %A Abecasis, Gonzalo %A Psaty, Bruce M %A Arnett, Donna K %A Boerwinkle, Eric %A Cai, Jianwen %A Yii-Der Chen, Ida %A Correa, Adolfo %A Cupples, L Adrienne %A He, Jiang %A Kardia, Sharon Lr %A Kooperberg, Charles %A Mathias, Rasika A %A Mitchell, Braxton D %A Nickerson, Deborah A %A Turner, Steve T %A Vasan, Ramachandran S %A Rotter, Jerome I %A Levy, Daniel %A Kramer, Holly J %A Köttgen, Anna %A Rich, Stephen S %A Lin, Dan-Yu %A Browning, Sharon R %A Franceschini, Nora %X

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.

%B EBioMedicine %V 63 %P 103157 %8 2021 Jan %G eng %R 10.1016/j.ebiom.2020.103157 %0 Journal Article %J Hum Mol Genet %D 2021 %T Whole genome sequence analysis of platelet traits in the NHLBI trans-omics for precision medicine initiative. %A Little, Amarise %A Hu, Yao %A Sun, Quan %A Jain, Deepti %A Broome, Jai %A Chen, Ming-Huei %A Thibord, Florian %A McHugh, Caitlin %A Surendran, Praveen %A Blackwell, Thomas W %A Brody, Jennifer A %A Bhan, Arunoday %A Chami, Nathalie %A Vries, Paul S %A Ekunwe, Lynette %A Heard-Costa, Nancy %A Hobbs, Brian D %A Manichaikul, Ani %A Moon, Jee-Young %A Preuss, Michael H %A Ryan, Kathleen %A Wang, Zhe %A Wheeler, Marsha %A Yanek, Lisa R %A Abecasis, Goncalo R %A Almasy, Laura %A Beaty, Terri H %A Becker, Lewis C %A Blangero, John %A Boerwinkle, Eric %A Butterworth, Adam S %A Choquet, Helene %A Correa, Adolfo %A Curran, Joanne E %A Faraday, Nauder %A Fornage, Myriam %A Glahn, David C %A Hou, Lifang %A Jorgenson, Eric %A Kooperberg, Charles %A Lewis, Joshua P %A Lloyd-Jones, Donald M %A Loos, Ruth J F %A Min, Nancy %A Mitchell, Braxton D %A Morrison, Alanna C %A Nickerson, Debbie %A North, Kari E %A O'Connell, Jeffrey R %A Pankratz, Nathan %A Psaty, Bruce M %A Vasan, Ramachandran S %A Rich, Stephen S %A Rotter, Jerome I %A Smith, Albert V %A Smith, Nicholas L %A Tang, Hua %A Tracy, Russell P %A Conomos, Matthew P %A Laurie, Cecelia A %A Mathias, Rasika A %A Li, Yun %A Auer, Paul L %A Thornton, Timothy %A Reiner, Alexander P %A Johnson, Andrew D %A Raffield, Laura M %X

Platelets play a key role in thrombosis and hemostasis. Platelet count (PLT) and mean platelet volume (MPV) are highly heritable quantitative traits, with hundreds of genetic signals previously identified, mostly in European ancestry populations. We here utilize whole genome sequencing from NHLBI's Trans-Omics for Precision Medicine Initiative (TOPMed) in a large multi-ethnic sample to further explore common and rare variation contributing to PLT (n = 61 200) and MPV (n = 23 485). We identified and replicated secondary signals at MPL (rs532784633) and PECAM1 (rs73345162), both more common in African ancestry populations. We also observed rare variation in Mendelian platelet related disorder genes influencing variation in platelet traits in TOPMed cohorts (not enriched for blood disorders). For example, association of GP9 with lower PLT and higher MPV was partly driven by a pathogenic Bernard-Soulier syndrome variant (rs5030764, p.Asn61Ser), and the signals at TUBB1 and CD36 were partly driven by loss of function variants not annotated as pathogenic in ClinVar (rs199948010 and rs571975065). However, residual signal remained for these gene-based signals after adjusting for lead variants, suggesting that additional variants in Mendelian genes with impacts in general population cohorts remain to be identified. Gene-based signals were also identified at several GWAS identified loci for genes not annotated for Mendelian platelet disorders (PTPRH, TET2, CHEK2), with somatic variation driving the result at TET2. These results highlight the value of whole genome sequencing in populations of diverse genetic ancestry to identify novel regulatory and coding signals, even for well-studied traits like platelet traits.

%B Hum Mol Genet %8 2021 Sep 06 %G eng %R 10.1093/hmg/ddab252 %0 Journal Article %J Am J Hum Genet %D 2021 %T Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program. %A Hu, Yao %A Stilp, Adrienne M %A McHugh, Caitlin P %A Rao, Shuquan %A Jain, Deepti %A Zheng, Xiuwen %A Lane, John %A Méric de Bellefon, Sébastian %A Raffield, Laura M %A Chen, Ming-Huei %A Yanek, Lisa R %A Wheeler, Marsha %A Yao, Yao %A Ren, Chunyan %A Broome, Jai %A Moon, Jee-Young %A de Vries, Paul S %A Hobbs, Brian D %A Sun, Quan %A Surendran, Praveen %A Brody, Jennifer A %A Blackwell, Thomas W %A Choquet, Helene %A Ryan, Kathleen %A Duggirala, Ravindranath %A Heard-Costa, Nancy %A Wang, Zhe %A Chami, Nathalie %A Preuss, Michael H %A Min, Nancy %A Ekunwe, Lynette %A Lange, Leslie A %A Cushman, Mary %A Faraday, Nauder %A Curran, Joanne E %A Almasy, Laura %A Kundu, Kousik %A Smith, Albert V %A Gabriel, Stacey %A Rotter, Jerome I %A Fornage, Myriam %A Lloyd-Jones, Donald M %A Vasan, Ramachandran S %A Smith, Nicholas L %A North, Kari E %A Boerwinkle, Eric %A Becker, Lewis C %A Lewis, Joshua P %A Abecasis, Goncalo R %A Hou, Lifang %A O'Connell, Jeffrey R %A Morrison, Alanna C %A Beaty, Terri H %A Kaplan, Robert %A Correa, Adolfo %A Blangero, John %A Jorgenson, Eric %A Psaty, Bruce M %A Kooperberg, Charles %A Walton, Russell T %A Kleinstiver, Benjamin P %A Tang, Hua %A Loos, Ruth J F %A Soranzo, Nicole %A Butterworth, Adam S %A Nickerson, Debbie %A Rich, Stephen S %A Mitchell, Braxton D %A Johnson, Andrew D %A Auer, Paul L %A Li, Yun %A Mathias, Rasika A %A Lettre, Guillaume %A Pankratz, Nathan %A Laurie, Cathy C %A Laurie, Cecelia A %A Bauer, Daniel E %A Conomos, Matthew P %A Reiner, Alexander P %K Adult %K Aged %K Chromosomes, Human, Pair 16 %K Datasets as Topic %K Erythrocytes %K Female %K Gene Editing %K Genetic Variation %K Genome-Wide Association Study %K HEK293 Cells %K Humans %K Male %K Middle Aged %K National Heart, Lung, and Blood Institute (U.S.) %K Phenotype %K Quality Control %K Reproducibility of Results %K United States %X

Whole-genome sequencing (WGS), a powerful tool for detecting novel coding and non-coding disease-causing variants, has largely been applied to clinical diagnosis of inherited disorders. Here we leveraged WGS data in up to 62,653 ethnically diverse participants from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and assessed statistical association of variants with seven red blood cell (RBC) quantitative traits. We discovered 14 single variant-RBC trait associations at 12 genomic loci, which have not been reported previously. Several of the RBC trait-variant associations (RPN1, ELL2, MIDN, HBB, HBA1, PIEZO1, and G6PD) were replicated in independent GWAS datasets imputed to the TOPMed reference panel. Most of these discovered variants are rare/low frequency, and several are observed disproportionately among non-European Ancestry (African, Hispanic/Latino, or East Asian) populations. We identified a 3 bp indel p.Lys2169del (g.88717175_88717177TCT[4]) (common only in the Ashkenazi Jewish population) of PIEZO1, a gene responsible for the Mendelian red cell disorder hereditary xerocytosis (MIM: 194380), associated with higher mean corpuscular hemoglobin concentration (MCHC). In stepwise conditional analysis and in gene-based rare variant aggregated association analysis, we identified several of the variants in HBB, HBA1, TMPRSS6, and G6PD that represent the carrier state for known coding, promoter, or splice site loss-of-function variants that cause inherited RBC disorders. Finally, we applied base and nuclease editing to demonstrate that the sentinel variant rs112097551 (nearest gene RPN1) acts through a cis-regulatory element that exerts long-range control of the gene RUVBL1 which is essential for hematopoiesis. Together, these results demonstrate the utility of WGS in ethnically diverse population-based samples and gene editing for expanding knowledge of the genetic architecture of quantitative hematologic traits and suggest a continuum between complex trait and Mendelian red cell disorders.

%B Am J Hum Genet %V 108 %P 874-893 %8 2021 05 06 %G eng %N 5 %R 10.1016/j.ajhg.2021.04.003 %0 Journal Article %J Am J Hum Genet %D 2021 %T Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program. %A Mikhaylova, Anna V %A McHugh, Caitlin P %A Polfus, Linda M %A Raffield, Laura M %A Boorgula, Meher Preethi %A Blackwell, Thomas W %A Brody, Jennifer A %A Broome, Jai %A Chami, Nathalie %A Chen, Ming-Huei %A Conomos, Matthew P %A Cox, Corey %A Curran, Joanne E %A Daya, Michelle %A Ekunwe, Lynette %A Glahn, David C %A Heard-Costa, Nancy %A Highland, Heather M %A Hobbs, Brian D %A Ilboudo, Yann %A Jain, Deepti %A Lange, Leslie A %A Miller-Fleming, Tyne W %A Min, Nancy %A Moon, Jee-Young %A Preuss, Michael H %A Rosen, Jonathon %A Ryan, Kathleen %A Smith, Albert V %A Sun, Quan %A Surendran, Praveen %A de Vries, Paul S %A Walter, Klaudia %A Wang, Zhe %A Wheeler, Marsha %A Yanek, Lisa R %A Zhong, Xue %A Abecasis, Goncalo R %A Almasy, Laura %A Barnes, Kathleen C %A Beaty, Terri H %A Becker, Lewis C %A Blangero, John %A Boerwinkle, Eric %A Butterworth, Adam S %A Chavan, Sameer %A Cho, Michael H %A Choquet, Helene %A Correa, Adolfo %A Cox, Nancy %A DeMeo, Dawn L %A Faraday, Nauder %A Fornage, Myriam %A Gerszten, Robert E %A Hou, Lifang %A Johnson, Andrew D %A Jorgenson, Eric %A Kaplan, Robert %A Kooperberg, Charles %A Kundu, Kousik %A Laurie, Cecelia A %A Lettre, Guillaume %A Lewis, Joshua P %A Li, Bingshan %A Li, Yun %A Lloyd-Jones, Donald M %A Loos, Ruth J F %A Manichaikul, Ani %A Meyers, Deborah A %A Mitchell, Braxton D %A Morrison, Alanna C %A Ngo, Debby %A Nickerson, Deborah A %A Nongmaithem, Suraj %A North, Kari E %A O'Connell, Jeffrey R %A Ortega, Victor E %A Pankratz, Nathan %A Perry, James A %A Psaty, Bruce M %A Rich, Stephen S %A Soranzo, Nicole %A Rotter, Jerome I %A Silverman, Edwin K %A Smith, Nicholas L %A Tang, Hua %A Tracy, Russell P %A Thornton, Timothy A %A Vasan, Ramachandran S %A Zein, Joe %A Mathias, Rasika A %A Reiner, Alexander P %A Auer, Paul L %K Asthma %K Biomarkers %K Dermatitis, Atopic %K Genetic Predisposition to Disease %K Genome, Human %K Genome-Wide Association Study %K Humans %K Leukocytes %K National Heart, Lung, and Blood Institute (U.S.) %K Phenotype %K Polymorphism, Single Nucleotide %K Prognosis %K Proteome %K Pulmonary Disease, Chronic Obstructive %K Quantitative Trait Loci %K United Kingdom %K United States %K Whole Genome Sequencing %X

Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs.

%B Am J Hum Genet %V 108 %P 1836-1851 %8 2021 10 07 %G eng %N 10 %R 10.1016/j.ajhg.2021.08.007 %0 Journal Article %J Commun Biol %D 2022 %T Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals. %A Winkler, Thomas W %A Rasheed, Humaira %A Teumer, Alexander %A Gorski, Mathias %A Rowan, Bryce X %A Stanzick, Kira J %A Thomas, Laurent F %A Tin, Adrienne %A Hoppmann, Anselm %A Chu, Audrey Y %A Tayo, Bamidele %A Thio, Chris H L %A Cusi, Daniele %A Chai, Jin-Fang %A Sieber, Karsten B %A Horn, Katrin %A Li, Man %A Scholz, Markus %A Cocca, Massimiliano %A Wuttke, Matthias %A van der Most, Peter J %A Yang, Qiong %A Ghasemi, Sahar %A Nutile, Teresa %A Li, Yong %A Pontali, Giulia %A Günther, Felix %A Dehghan, Abbas %A Correa, Adolfo %A Parsa, Afshin %A Feresin, Agnese %A de Vries, Aiko P J %A Zonderman, Alan B %A Smith, Albert V %A Oldehinkel, Albertine J %A De Grandi, Alessandro %A Rosenkranz, Alexander R %A Franke, Andre %A Teren, Andrej %A Metspalu, Andres %A Hicks, Andrew A %A Morris, Andrew P %A Tönjes, Anke %A Morgan, Anna %A Podgornaia, Anna I %A Peters, Annette %A Körner, Antje %A Mahajan, Anubha %A Campbell, Archie %A Freedman, Barry I %A Spedicati, Beatrice %A Ponte, Belen %A Schöttker, Ben %A Brumpton, Ben %A Banas, Bernhard %A Krämer, Bernhard K %A Jung, Bettina %A Åsvold, Bjørn Olav %A Smith, Blair H %A Ning, Boting %A Penninx, Brenda W J H %A Vanderwerff, Brett R %A Psaty, Bruce M %A Kammerer, Candace M %A Langefeld, Carl D %A Hayward, Caroline %A Spracklen, Cassandra N %A Robinson-Cohen, Cassianne %A Hartman, Catharina A %A Lindgren, Cecilia M %A Wang, Chaolong %A Sabanayagam, Charumathi %A Heng, Chew-Kiat %A Lanzani, Chiara %A Khor, Chiea-Chuen %A Cheng, Ching-Yu %A Fuchsberger, Christian %A Gieger, Christian %A Shaffer, Christian M %A Schulz, Christina-Alexandra %A Willer, Cristen J %A Chasman, Daniel I %A Gudbjartsson, Daniel F %A Ruggiero, Daniela %A Toniolo, Daniela %A Czamara, Darina %A Porteous, David J %A Waterworth, Dawn M %A Mascalzoni, Deborah %A Mook-Kanamori, Dennis O %A Reilly, Dermot F %A Daw, E Warwick %A Hofer, Edith %A Boerwinkle, Eric %A Salvi, Erika %A Bottinger, Erwin P %A Tai, E-Shyong %A Catamo, Eulalia %A Rizzi, Federica %A Guo, Feng %A Rivadeneira, Fernando %A Guilianini, Franco %A Sveinbjornsson, Gardar %A Ehret, Georg %A Waeber, Gérard %A Biino, Ginevra %A Girotto, Giorgia %A Pistis, Giorgio %A Nadkarni, Girish N %A Delgado, Graciela E %A Montgomery, Grant W %A Snieder, Harold %A Campbell, Harry %A White, Harvey D %A Gao, He %A Stringham, Heather M %A Schmidt, Helena %A Li, Hengtong %A Brenner, Hermann %A Holm, Hilma %A Kirsten, Holgen %A Kramer, Holly %A Rudan, Igor %A Nolte, Ilja M %A Tzoulaki, Ioanna %A Olafsson, Isleifur %A Martins, Jade %A Cook, James P %A Wilson, James F %A Halbritter, Jan %A Felix, Janine F %A Divers, Jasmin %A Kooner, Jaspal S %A Lee, Jeannette Jen-Mai %A O'Connell, Jeffrey %A Rotter, Jerome I %A Liu, Jianjun %A Xu, Jie %A Thiery, Joachim %A Arnlöv, Johan %A Kuusisto, Johanna %A Jakobsdottir, Johanna %A Tremblay, Johanne %A Chambers, John C %A Whitfield, John B %A Gaziano, John M %A Marten, Jonathan %A Coresh, Josef %A Jonas, Jost B %A Mychaleckyj, Josyf C %A Christensen, Kaare %A Eckardt, Kai-Uwe %A Mohlke, Karen L %A Endlich, Karlhans %A Dittrich, Katalin %A Ryan, Kathleen A %A Rice, Kenneth M %A Taylor, Kent D %A Ho, Kevin %A Nikus, Kjell %A Matsuda, Koichi %A Strauch, Konstantin %A Miliku, Kozeta %A Hveem, Kristian %A Lind, Lars %A Wallentin, Lars %A Yerges-Armstrong, Laura M %A Raffield, Laura M %A Phillips, Lawrence S %A Launer, Lenore J %A Lyytikäinen, Leo-Pekka %A Lange, Leslie A %A Citterio, Lorena %A Klaric, Lucija %A Ikram, M Arfan %A Ising, Marcus %A Kleber, Marcus E %A Francescatto, Margherita %A Concas, Maria Pina %A Ciullo, Marina %A Piratsu, Mario %A Orho-Melander, Marju %A Laakso, Markku %A Loeffler, Markus %A Perola, Markus %A de Borst, Martin H %A Gögele, Martin %A Bianca, Martina La %A Lukas, Mary Ann %A Feitosa, Mary F %A Biggs, Mary L %A Wojczynski, Mary K %A Kavousi, Maryam %A Kanai, Masahiro %A Akiyama, Masato %A Yasuda, Masayuki %A Nauck, Matthias %A Waldenberger, Melanie %A Chee, Miao-Li %A Chee, Miao-Ling %A Boehnke, Michael %A Preuss, Michael H %A Stumvoll, Michael %A Province, Michael A %A Evans, Michele K %A O'Donoghue, Michelle L %A Kubo, Michiaki %A Kähönen, Mika %A Kastarinen, Mika %A Nalls, Mike A %A Kuokkanen, Mikko %A Ghanbari, Mohsen %A Bochud, Murielle %A Josyula, Navya Shilpa %A Martin, Nicholas G %A Tan, Nicholas Y Q %A Palmer, Nicholette D %A Pirastu, Nicola %A Schupf, Nicole %A Verweij, Niek %A Hutri-Kähönen, Nina %A Mononen, Nina %A Bansal, Nisha %A Devuyst, Olivier %A Melander, Olle %A Raitakari, Olli T %A Polasek, Ozren %A Manunta, Paolo %A Gasparini, Paolo %A Mishra, Pashupati P %A Sulem, Patrick %A Magnusson, Patrik K E %A Elliott, Paul %A Ridker, Paul M %A Hamet, Pavel %A Svensson, Per O %A Joshi, Peter K %A Kovacs, Peter %A Pramstaller, Peter P %A Rossing, Peter %A Vollenweider, Peter %A van der Harst, Pim %A Dorajoo, Rajkumar %A Sim, Ralene Z H %A Burkhardt, Ralph %A Tao, Ran %A Noordam, Raymond %A Mägi, Reedik %A Schmidt, Reinhold %A de Mutsert, Renée %A Rueedi, Rico %A van Dam, Rob M %A Carroll, Robert J %A Gansevoort, Ron T %A Loos, Ruth J F %A Felicita, Sala Cinzia %A Sedaghat, Sanaz %A Padmanabhan, Sandosh %A Freitag-Wolf, Sandra %A Pendergrass, Sarah A %A Graham, Sarah E %A Gordon, Scott D %A Hwang, Shih-Jen %A Kerr, Shona M %A Vaccargiu, Simona %A Patil, Snehal B %A Hallan, Stein %A Bakker, Stephan J L %A Lim, Su-Chi %A Lucae, Susanne %A Vogelezang, Suzanne %A Bergmann, Sven %A Corre, Tanguy %A Ahluwalia, Tarunveer S %A Lehtimäki, Terho %A Boutin, Thibaud S %A Meitinger, Thomas %A Wong, Tien-Yin %A Bergler, Tobias %A Rabelink, Ton J %A Esko, Tõnu %A Haller, Toomas %A Thorsteinsdottir, Unnur %A Völker, Uwe %A Foo, Valencia Hui Xian %A Salomaa, Veikko %A Vitart, Veronique %A Giedraitis, Vilmantas %A Gudnason, Vilmundur %A Jaddoe, Vincent W V %A Huang, Wei %A Zhang, Weihua %A Wei, Wen Bin %A Kiess, Wieland %A März, Winfried %A Koenig, Wolfgang %A Lieb, Wolfgang %A Gào, Xīn %A Sim, Xueling %A Wang, Ya Xing %A Friedlander, Yechiel %A Tham, Yih-Chung %A Kamatani, Yoichiro %A Okada, Yukinori %A Milaneschi, Yuri %A Yu, Zhi %A Stark, Klaus J %A Stefansson, Kari %A Böger, Carsten A %A Hung, Adriana M %A Kronenberg, Florian %A Köttgen, Anna %A Pattaro, Cristian %A Heid, Iris M %K Creatinine %K Diabetes Mellitus %K Diabetic Nephropathies %K Genome-Wide Association Study %K Glomerular Filtration Rate %K Humans %K Kidney %X

Reduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (n = 178,691, n = 1,296,113). Our genome-wide searches identified (i) seven eGFR loci with significant DM/noDM-difference, (ii) four additional novel loci with suggestive difference and (iii) 28 further novel loci (including CUBN) by allowing for potential difference. GWAS on eGFR among DM individuals identified 2 known and 27 potentially responsible loci for diabetic kidney disease. Gene prioritization highlighted 18 genes that may inform reno-protective drug development. We highlight the existence of DM-only and noDM-only effects, which can inform about the target group, if respective genes are advanced as drug targets. Largely shared effects suggest that most drug interventions to alter eGFR should be effective in DM and noDM.

%B Commun Biol %V 5 %P 580 %8 2022 Jun 13 %G eng %N 1 %R 10.1038/s42003-022-03448-z %0 Journal Article %J Mol Psychiatry %D 2022 %T Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. %A Lahti, Jari %A Tuominen, Samuli %A Yang, Qiong %A Pergola, Giulio %A Ahmad, Shahzad %A Amin, Najaf %A Armstrong, Nicola J %A Beiser, Alexa %A Bey, Katharina %A Bis, Joshua C %A Boerwinkle, Eric %A Bressler, Jan %A Campbell, Archie %A Campbell, Harry %A Chen, Qiang %A Corley, Janie %A Cox, Simon R %A Davies, Gail %A De Jager, Philip L %A Derks, Eske M %A Faul, Jessica D %A Fitzpatrick, Annette L %A Fohner, Alison E %A Ford, Ian %A Fornage, Myriam %A Gerring, Zachary %A Grabe, Hans J %A Grodstein, Francine %A Gudnason, Vilmundur %A Simonsick, Eleanor %A Holliday, Elizabeth G %A Joshi, Peter K %A Kajantie, Eero %A Kaprio, Jaakko %A Karell, Pauliina %A Kleineidam, Luca %A Knol, Maria J %A Kochan, Nicole A %A Kwok, John B %A Leber, Markus %A Lam, Max %A Lee, Teresa %A Li, Shuo %A Loukola, Anu %A Luck, Tobias %A Marioni, Riccardo E %A Mather, Karen A %A Medland, Sarah %A Mirza, Saira S %A Nalls, Mike A %A Nho, Kwangsik %A O'Donnell, Adrienne %A Oldmeadow, Christopher %A Painter, Jodie %A Pattie, Alison %A Reppermund, Simone %A Risacher, Shannon L %A Rose, Richard J %A Sadashivaiah, Vijay %A Scholz, Markus %A Satizabal, Claudia L %A Schofield, Peter W %A Schraut, Katharina E %A Scott, Rodney J %A Simino, Jeannette %A Smith, Albert V %A Smith, Jennifer A %A Stott, David J %A Surakka, Ida %A Teumer, Alexander %A Thalamuthu, Anbupalam %A Trompet, Stella %A Turner, Stephen T %A van der Lee, Sven J %A Villringer, Arno %A Völker, Uwe %A Wilson, Robert S %A Wittfeld, Katharina %A Vuoksimaa, Eero %A Xia, Rui %A Yaffe, Kristine %A Yu, Lei %A Zare, Habil %A Zhao, Wei %A Ames, David %A Attia, John %A Bennett, David A %A Brodaty, Henry %A Chasman, Daniel I %A Goldman, Aaron L %A Hayward, Caroline %A Ikram, M Arfan %A Jukema, J Wouter %A Kardia, Sharon L R %A Lencz, Todd %A Loeffler, Markus %A Mattay, Venkata S %A Palotie, Aarno %A Psaty, Bruce M %A Ramirez, Alfredo %A Ridker, Paul M %A Riedel-Heller, Steffi G %A Sachdev, Perminder S %A Saykin, Andrew J %A Scherer, Martin %A Schofield, Peter R %A Sidney, Stephen %A Starr, John M %A Trollor, Julian %A Ulrich, William %A Wagner, Michael %A Weir, David R %A Wilson, James F %A Wright, Margaret J %A Weinberger, Daniel R %A Debette, Stephanie %A Eriksson, Johan G %A Mosley, Thomas H %A Launer, Lenore J %A van Duijn, Cornelia M %A Deary, Ian J %A Seshadri, Sudha %A Räikkönen, Katri %X

Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.

%B Mol Psychiatry %8 2022 Aug 16 %G eng %R 10.1038/s41380-022-01710-8 %0 Journal Article %J Nat Hum Behav %D 2022 %T Rare genetic variants explain missing heritability in smoking. %A Jang, Seon-Kyeong %A Evans, Luke %A Fialkowski, Allison %A Arnett, Donna K %A Ashley-Koch, Allison E %A Barnes, Kathleen C %A Becker, Diane M %A Bis, Joshua C %A Blangero, John %A Bleecker, Eugene R %A Boorgula, Meher Preethi %A Bowden, Donald W %A Brody, Jennifer A %A Cade, Brian E %A Jenkins, Brenda W Campbell %A Carson, April P %A Chavan, Sameer %A Cupples, L Adrienne %A Custer, Brian %A Damrauer, Scott M %A David, Sean P %A de Andrade, Mariza %A Dinardo, Carla L %A Fingerlin, Tasha E %A Fornage, Myriam %A Freedman, Barry I %A Garrett, Melanie E %A Gharib, Sina A %A Glahn, David C %A Haessler, Jeffrey %A Heckbert, Susan R %A Hokanson, John E %A Hou, Lifang %A Hwang, Shih-Jen %A Hyman, Matthew C %A Judy, Renae %A Justice, Anne E %A Kaplan, Robert C %A Kardia, Sharon L R %A Kelly, Shannon %A Kim, Wonji %A Kooperberg, Charles %A Levy, Daniel %A Lloyd-Jones, Donald M %A Loos, Ruth J F %A Manichaikul, Ani W %A Gladwin, Mark T %A Martin, Lisa Warsinger %A Nouraie, Mehdi %A Melander, Olle %A Meyers, Deborah A %A Montgomery, Courtney G %A North, Kari E %A Oelsner, Elizabeth C %A Palmer, Nicholette D %A Payton, Marinelle %A Peljto, Anna L %A Peyser, Patricia A %A Preuss, Michael %A Psaty, Bruce M %A Qiao, Dandi %A Rader, Daniel J %A Rafaels, Nicholas %A Redline, Susan %A Reed, Robert M %A Reiner, Alexander P %A Rich, Stephen S %A Rotter, Jerome I %A Schwartz, David A %A Shadyab, Aladdin H %A Silverman, Edwin K %A Smith, Nicholas L %A Smith, J Gustav %A Smith, Albert V %A Smith, Jennifer A %A Tang, Weihong %A Taylor, Kent D %A Telen, Marilyn J %A Vasan, Ramachandran S %A Gordeuk, Victor R %A Wang, Zhe %A Wiggins, Kerri L %A Yanek, Lisa R %A Yang, Ivana V %A Young, Kendra A %A Young, Kristin L %A Zhang, Yingze %A Liu, Dajiang J %A Keller, Matthew C %A Vrieze, Scott %X

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

%B Nat Hum Behav %8 2022 Aug 04 %G eng %R 10.1038/s41562-022-01408-5 %0 Journal Article %J Nat Commun %D 2022 %T Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program. %A Wheeler, Marsha M %A Stilp, Adrienne M %A Rao, Shuquan %A Halldorsson, Bjarni V %A Beyter, Doruk %A Wen, Jia %A Mihkaylova, Anna V %A McHugh, Caitlin P %A Lane, John %A Jiang, Min-Zhi %A Raffield, Laura M %A Jun, Goo %A Sedlazeck, Fritz J %A Metcalf, Ginger %A Yao, Yao %A Bis, Joshua B %A Chami, Nathalie %A de Vries, Paul S %A Desai, Pinkal %A Floyd, James S %A Gao, Yan %A Kammers, Kai %A Kim, Wonji %A Moon, Jee-Young %A Ratan, Aakrosh %A Yanek, Lisa R %A Almasy, Laura %A Becker, Lewis C %A Blangero, John %A Cho, Michael H %A Curran, Joanne E %A Fornage, Myriam %A Kaplan, Robert C %A Lewis, Joshua P %A Loos, Ruth J F %A Mitchell, Braxton D %A Morrison, Alanna C %A Preuss, Michael %A Psaty, Bruce M %A Rich, Stephen S %A Rotter, Jerome I %A Tang, Hua %A Tracy, Russell P %A Boerwinkle, Eric %A Abecasis, Goncalo R %A Blackwell, Thomas W %A Smith, Albert V %A Johnson, Andrew D %A Mathias, Rasika A %A Nickerson, Deborah A %A Conomos, Matthew P %A Li, Yun %A Þorsteinsdottir, Unnur %A Magnússon, Magnús K %A Stefansson, Kari %A Pankratz, Nathan D %A Bauer, Daniel E %A Auer, Paul L %A Reiner, Alex P %K Blood Cells %K Genome-Wide Association Study %K Humans %K Whole Genome Sequencing %X

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

%B Nat Commun %V 13 %P 7592 %8 2022 Dec 08 %G eng %N 1 %R 10.1038/s41467-022-35354-7 %0 Journal Article %J Nature %D 2023 %T Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis. %A Weinstock, Joshua S %A Gopakumar, Jayakrishnan %A Burugula, Bala Bharathi %A Uddin, Md Mesbah %A Jahn, Nikolaus %A Belk, Julia A %A Bouzid, Hind %A Daniel, Bence %A Miao, Zhuang %A Ly, Nghi %A Mack, Taralynn M %A Luna, Sofia E %A Prothro, Katherine P %A Mitchell, Shaneice R %A Laurie, Cecelia A %A Broome, Jai G %A Taylor, Kent D %A Guo, Xiuqing %A Sinner, Moritz F %A von Falkenhausen, Aenne S %A Kääb, Stefan %A Shuldiner, Alan R %A O'Connell, Jeffrey R %A Lewis, Joshua P %A Boerwinkle, Eric %A Barnes, Kathleen C %A Chami, Nathalie %A Kenny, Eimear E %A Loos, Ruth J F %A Fornage, Myriam %A Hou, Lifang %A Lloyd-Jones, Donald M %A Redline, Susan %A Cade, Brian E %A Psaty, Bruce M %A Bis, Joshua C %A Brody, Jennifer A %A Silverman, Edwin K %A Yun, Jeong H %A Qiao, Dandi %A Palmer, Nicholette D %A Freedman, Barry I %A Bowden, Donald W %A Cho, Michael H %A DeMeo, Dawn L %A Vasan, Ramachandran S %A Yanek, Lisa R %A Becker, Lewis C %A Kardia, Sharon L R %A Peyser, Patricia A %A He, Jiang %A Rienstra, Michiel %A van der Harst, Pim %A Kaplan, Robert %A Heckbert, Susan R %A Smith, Nicholas L %A Wiggins, Kerri L %A Arnett, Donna K %A Irvin, Marguerite R %A Tiwari, Hemant %A Cutler, Michael J %A Knight, Stacey %A Muhlestein, J Brent %A Correa, Adolfo %A Raffield, Laura M %A Gao, Yan %A de Andrade, Mariza %A Rotter, Jerome I %A Rich, Stephen S %A Tracy, Russell P %A Konkle, Barbara A %A Johnsen, Jill M %A Wheeler, Marsha M %A Smith, J Gustav %A Melander, Olle %A Nilsson, Peter M %A Custer, Brian S %A Duggirala, Ravindranath %A Curran, Joanne E %A Blangero, John %A McGarvey, Stephen %A Williams, L Keoki %A Xiao, Shujie %A Yang, Mao %A Gu, C Charles %A Chen, Yii-Der Ida %A Lee, Wen-Jane %A Marcus, Gregory M %A Kane, John P %A Pullinger, Clive R %A Shoemaker, M Benjamin %A Darbar, Dawood %A Roden, Dan M %A Albert, Christine %A Kooperberg, Charles %A Zhou, Ying %A Manson, JoAnn E %A Desai, Pinkal %A Johnson, Andrew D %A Mathias, Rasika A %A Blackwell, Thomas W %A Abecasis, Goncalo R %A Smith, Albert V %A Kang, Hyun M %A Satpathy, Ansuman T %A Natarajan, Pradeep %A Kitzman, Jacob O %A Whitsel, Eric A %A Reiner, Alexander P %A Bick, Alexander G %A Jaiswal, Siddhartha %K Alleles %K Animals %K Clonal Hematopoiesis %K Genome-Wide Association Study %K Hematopoiesis %K Hematopoietic Stem Cells %K Humans %K Mice %K Mutation %K Promoter Regions, Genetic %X

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.

%B Nature %V 616 %P 755-763 %8 2023 Apr %G eng %N 7958 %R 10.1038/s41586-023-05806-1 %0 Journal Article %J Front Genet %D 2023 %T Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci. %A de Las Fuentes, Lisa %A Schwander, Karen L %A Brown, Michael R %A Bentley, Amy R %A Winkler, Thomas W %A Sung, Yun Ju %A Munroe, Patricia B %A Miller, Clint L %A Aschard, Hugo %A Aslibekyan, Stella %A Bartz, Traci M %A Bielak, Lawrence F %A Chai, Jin Fang %A Cheng, Ching-Yu %A Dorajoo, Rajkumar %A Feitosa, Mary F %A Guo, Xiuqing %A Hartwig, Fernando P %A Horimoto, Andrea %A Kolcic, Ivana %A Lim, Elise %A Liu, Yongmei %A Manning, Alisa K %A Marten, Jonathan %A Musani, Solomon K %A Noordam, Raymond %A Padmanabhan, Sandosh %A Rankinen, Tuomo %A Richard, Melissa A %A Ridker, Paul M %A Smith, Albert V %A Vojinovic, Dina %A Zonderman, Alan B %A Alver, Maris %A Boissel, Mathilde %A Christensen, Kaare %A Freedman, Barry I %A Gao, Chuan %A Giulianini, Franco %A Harris, Sarah E %A He, Meian %A Hsu, Fang-Chi %A Kuhnel, Brigitte %A Laguzzi, Federica %A Li, Xiaoyin %A Lyytikäinen, Leo-Pekka %A Nolte, Ilja M %A Poveda, Alaitz %A Rauramaa, Rainer %A Riaz, Muhammad %A Robino, Antonietta %A Sofer, Tamar %A Takeuchi, Fumihiko %A Tayo, Bamidele O %A van der Most, Peter J %A Verweij, Niek %A Ware, Erin B %A Weiss, Stefan %A Wen, Wanqing %A Yanek, Lisa R %A Zhan, Yiqiang %A Amin, Najaf %A Arking, Dan E %A Ballantyne, Christie %A Boerwinkle, Eric %A Brody, Jennifer A %A Broeckel, Ulrich %A Campbell, Archie %A Canouil, Mickaël %A Chai, Xiaoran %A Chen, Yii-Der Ida %A Chen, Xu %A Chitrala, Kumaraswamy Naidu %A Concas, Maria Pina %A de Faire, Ulf %A de Mutsert, Renée %A de Silva, H Janaka %A de Vries, Paul S %A Do, Ahn %A Faul, Jessica D %A Fisher, Virginia %A Floyd, James S %A Forrester, Terrence %A Friedlander, Yechiel %A Girotto, Giorgia %A Gu, C Charles %A Hallmans, Göran %A Heikkinen, Sami %A Heng, Chew-Kiat %A Homuth, Georg %A Hunt, Steven %A Ikram, M Arfan %A Jacobs, David R %A Kavousi, Maryam %A Khor, Chiea Chuen %A Kilpeläinen, Tuomas O %A Koh, Woon-Puay %A Komulainen, Pirjo %A Langefeld, Carl D %A Liang, Jingjing %A Liu, Kiang %A Liu, Jianjun %A Lohman, Kurt %A Mägi, Reedik %A Manichaikul, Ani W %A McKenzie, Colin A %A Meitinger, Thomas %A Milaneschi, Yuri %A Nauck, Matthias %A Nelson, Christopher P %A O'Connell, Jeffrey R %A Palmer, Nicholette D %A Pereira, Alexandre C %A Perls, Thomas %A Peters, Annette %A Polasek, Ozren %A Raitakari, Olli T %A Rice, Kenneth %A Rice, Treva K %A Rich, Stephen S %A Sabanayagam, Charumathi %A Schreiner, Pamela J %A Shu, Xiao-Ou %A Sidney, Stephen %A Sims, Mario %A Smith, Jennifer A %A Starr, John M %A Strauch, Konstantin %A Tai, E Shyong %A Taylor, Kent D %A Tsai, Michael Y %A Uitterlinden, André G %A van Heemst, Diana %A Waldenberger, Melanie %A Wang, Ya-Xing %A Wei, Wen-Bin %A Wilson, Gregory %A Xuan, Deng %A Yao, Jie %A Yu, Caizheng %A Yuan, Jian-Min %A Zhao, Wei %A Becker, Diane M %A Bonnefond, Amélie %A Bowden, Donald W %A Cooper, Richard S %A Deary, Ian J %A Divers, Jasmin %A Esko, Tõnu %A Franks, Paul W %A Froguel, Philippe %A Gieger, Christian %A Jonas, Jost B %A Kato, Norihiro %A Lakka, Timo A %A Leander, Karin %A Lehtimäki, Terho %A Magnusson, Patrik K E %A North, Kari E %A Ntalla, Ioanna %A Penninx, Brenda %A Samani, Nilesh J %A Snieder, Harold %A Spedicati, Beatrice %A van der Harst, Pim %A Völzke, Henry %A Wagenknecht, Lynne E %A Weir, David R %A Wojczynski, Mary K %A Wu, Tangchun %A Zheng, Wei %A Zhu, Xiaofeng %A Bouchard, Claude %A Chasman, Daniel I %A Evans, Michele K %A Fox, Ervin R %A Gudnason, Vilmundur %A Hayward, Caroline %A Horta, Bernardo L %A Kardia, Sharon L R %A Krieger, Jose Eduardo %A Mook-Kanamori, Dennis O %A Peyser, Patricia A %A Province, Michael M %A Psaty, Bruce M %A Rudan, Igor %A Sim, Xueling %A Smith, Blair H %A van Dam, Rob M %A van Duijn, Cornelia M %A Wong, Tien Yin %A Arnett, Donna K %A Rao, Dabeeru C %A Gauderman, James %A Liu, Ching-Ti %A Morrison, Alanna C %A Rotter, Jerome I %A Fornage, Myriam %X

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.

%B Front Genet %V 14 %P 1235337 %8 2023 %G eng %R 10.3389/fgene.2023.1235337 %0 Journal Article %J Sci Adv %D 2023 %T The genetic determinants of recurrent somatic mutations in 43,693 blood genomes. %A Weinstock, Joshua S %A Laurie, Cecelia A %A Broome, Jai G %A Taylor, Kent D %A Guo, Xiuqing %A Shuldiner, Alan R %A O'Connell, Jeffrey R %A Lewis, Joshua P %A Boerwinkle, Eric %A Barnes, Kathleen C %A Chami, Nathalie %A Kenny, Eimear E %A Loos, Ruth J F %A Fornage, Myriam %A Redline, Susan %A Cade, Brian E %A Gilliland, Frank D %A Chen, Zhanghua %A Gauderman, W James %A Kumar, Rajesh %A Grammer, Leslie %A Schleimer, Robert P %A Psaty, Bruce M %A Bis, Joshua C %A Brody, Jennifer A %A Silverman, Edwin K %A Yun, Jeong H %A Qiao, Dandi %A Weiss, Scott T %A Lasky-Su, Jessica %A DeMeo, Dawn L %A Palmer, Nicholette D %A Freedman, Barry I %A Bowden, Donald W %A Cho, Michael H %A Vasan, Ramachandran S %A Johnson, Andrew D %A Yanek, Lisa R %A Becker, Lewis C %A Kardia, Sharon %A He, Jiang %A Kaplan, Robert %A Heckbert, Susan R %A Smith, Nicholas L %A Wiggins, Kerri L %A Arnett, Donna K %A Irvin, Marguerite R %A Tiwari, Hemant %A Correa, Adolfo %A Raffield, Laura M %A Gao, Yan %A de Andrade, Mariza %A Rotter, Jerome I %A Rich, Stephen S %A Manichaikul, Ani W %A Konkle, Barbara A %A Johnsen, Jill M %A Wheeler, Marsha M %A Custer, Brian S %A Duggirala, Ravindranath %A Curran, Joanne E %A Blangero, John %A Gui, Hongsheng %A Xiao, Shujie %A Williams, L Keoki %A Meyers, Deborah A %A Li, Xingnan %A Ortega, Victor %A McGarvey, Stephen %A Gu, C Charles %A Chen, Yii-Der Ida %A Lee, Wen-Jane %A Shoemaker, M Benjamin %A Darbar, Dawood %A Roden, Dan %A Albert, Christine %A Kooperberg, Charles %A Desai, Pinkal %A Blackwell, Thomas W %A Abecasis, Goncalo R %A Smith, Albert V %A Kang, Hyun M %A Mathias, Rasika %A Natarajan, Pradeep %A Jaiswal, Siddhartha %A Reiner, Alexander P %A Bick, Alexander G %K Germ-Line Mutation %K Hematopoiesis %K Humans %K Middle Aged %K Mutation %K Mutation, Missense %K Phenotype %X

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.

%B Sci Adv %V 9 %P eabm4945 %8 2023 Apr 28 %G eng %N 17 %R 10.1126/sciadv.abm4945 %0 Journal Article %J Nat Genet %D 2023 %T Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification. %A Kavousi, Maryam %A Bos, Maxime M %A Barnes, Hanna J %A Lino Cardenas, Christian L %A Wong, Doris %A Lu, Haojie %A Hodonsky, Chani J %A Landsmeer, Lennart P L %A Turner, Adam W %A Kho, Minjung %A Hasbani, Natalie R %A de Vries, Paul S %A Bowden, Donald W %A Chopade, Sandesh %A Deelen, Joris %A Benavente, Ernest Diez %A Guo, Xiuqing %A Hofer, Edith %A Hwang, Shih-Jen %A Lutz, Sharon M %A Lyytikäinen, Leo-Pekka %A Slenders, Lotte %A Smith, Albert V %A Stanislawski, Maggie A %A van Setten, Jessica %A Wong, Quenna %A Yanek, Lisa R %A Becker, Diane M %A Beekman, Marian %A Budoff, Matthew J %A Feitosa, Mary F %A Finan, Chris %A Hilliard, Austin T %A Kardia, Sharon L R %A Kovacic, Jason C %A Kral, Brian G %A Langefeld, Carl D %A Launer, Lenore J %A Malik, Shaista %A Hoesein, Firdaus A A Mohamed %A Mokry, Michal %A Schmidt, Reinhold %A Smith, Jennifer A %A Taylor, Kent D %A Terry, James G %A van der Grond, Jeroen %A van Meurs, Joyce %A Vliegenthart, Rozemarijn %A Xu, Jianzhao %A Young, Kendra A %A Zilhão, Nuno R %A Zweiker, Robert %A Assimes, Themistocles L %A Becker, Lewis C %A Bos, Daniel %A Carr, J Jeffrey %A Cupples, L Adrienne %A de Kleijn, Dominique P V %A de Winther, Menno %A den Ruijter, Hester M %A Fornage, Myriam %A Freedman, Barry I %A Gudnason, Vilmundur %A Hingorani, Aroon D %A Hokanson, John E %A Ikram, M Arfan %A Išgum, Ivana %A Jacobs, David R %A Kähönen, Mika %A Lange, Leslie A %A Lehtimäki, Terho %A Pasterkamp, Gerard %A Raitakari, Olli T %A Schmidt, Helena %A Slagboom, P Eline %A Uitterlinden, André G %A Vernooij, Meike W %A Bis, Joshua C %A Franceschini, Nora %A Psaty, Bruce M %A Post, Wendy S %A Rotter, Jerome I %A Björkegren, Johan L M %A O'Donnell, Christopher J %A Bielak, Lawrence F %A Peyser, Patricia A %A Malhotra, Rajeev %A van der Laan, Sander W %A Miller, Clint L %X

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.

%B Nat Genet %V 55 %P 1651-1664 %8 2023 Oct %G eng %N 10 %R 10.1038/s41588-023-01518-4 %0 Journal Article %J Front Genet %D 2023 %T Whole genome sequence analysis of apparent treatment resistant hypertension status in participants from the Trans-Omics for Precision Medicine program. %A Armstrong, Nicole D %A Srinivasasainagendra, Vinodh %A Ammous, Farah %A Assimes, Themistocles L %A Beitelshees, Amber L %A Brody, Jennifer %A Cade, Brian E %A Ida Chen, Yii-Der %A Chen, Han %A de Vries, Paul S %A Floyd, James S %A Franceschini, Nora %A Guo, Xiuqing %A Hellwege, Jacklyn N %A House, John S %A Hwu, Chii-Min %A Kardia, Sharon L R %A Lange, Ethan M %A Lange, Leslie A %A McDonough, Caitrin W %A Montasser, May E %A O'Connell, Jeffrey R %A Shuey, Megan M %A Sun, Xiao %A Tanner, Rikki M %A Wang, Zhe %A Zhao, Wei %A Carson, April P %A Edwards, Todd L %A Kelly, Tanika N %A Kenny, Eimear E %A Kooperberg, Charles %A Loos, Ruth J F %A Morrison, Alanna C %A Motsinger-Reif, Alison %A Psaty, Bruce M %A Rao, Dabeeru C %A Redline, Susan %A Rich, Stephen S %A Rotter, Jerome I %A Smith, Jennifer A %A Smith, Albert V %A Irvin, Marguerite R %A Arnett, Donna K %X

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.

%B Front Genet %V 14 %P 1278215 %8 2023 %G eng %R 10.3389/fgene.2023.1278215