%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 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 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 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 Nat Genet %D 2010 %T Genome-wide association study of PR interval. %A Pfeufer, Arne %A van Noord, Charlotte %A Marciante, Kristin D %A Arking, Dan E %A Larson, Martin G %A Smith, Albert Vernon %A Tarasov, Kirill V %A Müller, Martina %A Sotoodehnia, Nona %A Sinner, Moritz F %A Verwoert, Germaine C %A Li, Man %A Kao, W H Linda %A Köttgen, Anna %A Coresh, Josef %A Bis, Joshua C %A Psaty, Bruce M %A Rice, Kenneth %A Rotter, Jerome I %A Rivadeneira, Fernando %A Hofman, Albert %A Kors, Jan A %A Stricker, Bruno H C %A Uitterlinden, André G %A van Duijn, Cornelia M %A Beckmann, Britt M %A Sauter, Wiebke %A Gieger, Christian %A Lubitz, Steven A %A Newton-Cheh, Christopher %A Wang, Thomas J %A Magnani, Jared W %A Schnabel, Renate B %A Chung, Mina K %A Barnard, John %A Smith, Jonathan D %A Van Wagoner, David R %A Vasan, Ramachandran S %A Aspelund, Thor %A Eiriksdottir, Gudny %A Harris, Tamara B %A Launer, Lenore J %A Najjar, Samer S %A Lakatta, Edward %A Schlessinger, David %A Uda, Manuela %A Abecasis, Goncalo R %A Müller-Myhsok, Bertram %A Ehret, Georg B %A Boerwinkle, Eric %A Chakravarti, Aravinda %A Soliman, Elsayed Z %A Lunetta, Kathryn L %A Perz, Siegfried %A Wichmann, H-Erich %A Meitinger, Thomas %A Levy, Daniel %A Gudnason, Vilmundur %A Ellinor, Patrick T %A Sanna, Serena %A Kääb, Stefan %A Witteman, Jacqueline C M %A Alonso, Alvaro %A Benjamin, Emelia J %A Heckbert, Susan R %K Aged %K Atrial Fibrillation %K Cohort Studies %K Electrocardiography %K Female %K Genetic Loci %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Heart Conduction System %K Humans %K Male %K Meta-Analysis as Topic %X

The electrocardiographic PR interval (or PQ interval) reflects atrial and atrioventricular nodal conduction, disturbances of which increase risk of atrial fibrillation. We report a meta-analysis of genome-wide association studies for PR interval from seven population-based European studies in the CHARGE Consortium: AGES, ARIC, CHS, FHS, KORA, Rotterdam Study, and SardiNIA (N = 28,517). We identified nine loci associated with PR interval at P < 5 x 10(-8). At the 3p22.2 locus, we observed two independent associations in voltage-gated sodium channel genes, SCN10A and SCN5A. Six of the loci were near cardiac developmental genes, including CAV1-CAV2, NKX2-5 (CSX1), SOX5, WNT11, MEIS1, and TBX5-TBX3, providing pathophysiologically interesting candidate genes. Five of the loci, SCN5A, SCN10A, NKX2-5, CAV1-CAV2, and SOX5, were also associated with atrial fibrillation (N = 5,741 cases, P < 0.0056). This suggests a role for common variation in ion channel and developmental genes in atrial and atrioventricular conduction as well as in susceptibility to atrial fibrillation.

%B Nat Genet %V 42 %P 153-9 %8 2010 Feb %G eng %N 2 %1 http://www.ncbi.nlm.nih.gov/pubmed/20062060?dopt=Abstract %R 10.1038/ng.517 %0 Journal Article %J Hum Mol Genet %D 2011 %T Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study. %A Fox, Ervin R %A Young, J Hunter %A Li, Yali %A Dreisbach, Albert W %A Keating, Brendan J %A Musani, Solomon K %A Liu, Kiang %A Morrison, Alanna C %A Ganesh, Santhi %A Kutlar, Abdullah %A Ramachandran, Vasan S %A Polak, Josef F %A Fabsitz, Richard R %A Dries, Daniel L %A Farlow, Deborah N %A Redline, Susan %A Adeyemo, Adebowale %A Hirschorn, Joel N %A Sun, Yan V %A Wyatt, Sharon B %A Penman, Alan D %A Palmas, Walter %A Rotter, Jerome I %A Townsend, Raymond R %A Doumatey, Ayo P %A Tayo, Bamidele O %A Mosley, Thomas H %A Lyon, Helen N %A Kang, Sun J %A Rotimi, Charles N %A Cooper, Richard S %A Franceschini, Nora %A Curb, J David %A Martin, Lisa W %A Eaton, Charles B %A Kardia, Sharon L R %A Taylor, Herman A %A Caulfield, Mark J %A Ehret, Georg B %A Johnson, Toby %A Chakravarti, Aravinda %A Zhu, Xiaofeng %A Levy, Daniel %K Adult %K African Americans %K Aged %K Blood Pressure %K Cohort Studies %K Diastole %K European Continental Ancestry Group %K Female %K Genetic Loci %K Genome-Wide Association Study %K Genotype %K Humans %K Hypertension %K Male %K Middle Aged %K Phenotype %K Polymorphism, Single Nucleotide %K Systole %X

The prevalence of hypertension in African Americans (AAs) is higher than in other US groups; yet, few have performed genome-wide association studies (GWASs) in AA. Among people of European descent, GWASs have identified genetic variants at 13 loci that are associated with blood pressure. It is unknown if these variants confer susceptibility in people of African ancestry. Here, we examined genome-wide and candidate gene associations with systolic blood pressure (SBP) and diastolic blood pressure (DBP) using the Candidate Gene Association Resource (CARe) consortium consisting of 8591 AAs. Genotypes included genome-wide single-nucleotide polymorphism (SNP) data utilizing the Affymetrix 6.0 array with imputation to 2.5 million HapMap SNPs and candidate gene SNP data utilizing a 50K cardiovascular gene-centric array (ITMAT-Broad-CARe [IBC] array). For Affymetrix data, the strongest signal for DBP was rs10474346 (P= 3.6 × 10(-8)) located near GPR98 and ARRDC3. For SBP, the strongest signal was rs2258119 in C21orf91 (P= 4.7 × 10(-8)). The top IBC association for SBP was rs2012318 (P= 6.4 × 10(-6)) near SLC25A42 and for DBP was rs2523586 (P= 1.3 × 10(-6)) near HLA-B. None of the top variants replicated in additional AA (n = 11 882) or European-American (n = 69 899) cohorts. We replicated previously reported European-American blood pressure SNPs in our AA samples (SH2B3, P= 0.009; TBX3-TBX5, P= 0.03; and CSK-ULK3, P= 0.0004). These genetic loci represent the best evidence of genetic influences on SBP and DBP in AAs to date. More broadly, this work supports that notion that blood pressure among AAs is a trait with genetic underpinnings but also with significant complexity.

%B Hum Mol Genet %V 20 %P 2273-84 %8 2011 Jun 01 %G eng %N 11 %1 http://www.ncbi.nlm.nih.gov/pubmed/21378095?dopt=Abstract %R 10.1093/hmg/ddr092 %0 Journal Article %J Hypertension %D 2011 %T Association of hypertension drug target genes with blood pressure and hypertension in 86,588 individuals. %A Johnson, Andrew D %A Newton-Cheh, Christopher %A Chasman, Daniel I %A Ehret, Georg B %A Johnson, Toby %A Rose, Lynda %A Rice, Kenneth %A Verwoert, Germaine C %A Launer, Lenore J %A Gudnason, Vilmundur %A Larson, Martin G %A Chakravarti, Aravinda %A Psaty, Bruce M %A Caulfield, Mark %A van Duijn, Cornelia M %A Ridker, Paul M %A Munroe, Patricia B %A Levy, Daniel %K Alleles %K Angiotensinogen %K Antihypertensive Agents %K Blood Pressure %K Female %K Genetic Predisposition to Disease %K Genotype %K Humans %K Hypertension %K Male %K Pharmacogenetics %K Polymorphism, Single Nucleotide %K Receptors, Adrenergic, beta-1 %X

We previously conducted genome-wide association meta-analysis of systolic blood pressure, diastolic blood pressure, and hypertension in 29,136 people from 6 cohort studies in the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium. Here we examine associations of these traits with 30 gene regions encoding known antihypertensive drug targets. We find nominal evidence of association of ADRB1, ADRB2, AGT, CACNA1A, CACNA1C, and SLC12A3 polymorphisms with 1 or more BP traits in the Cohorts for Heart and Aging Research in Genomic Epidemiology genome-wide association meta-analysis. We attempted replication of the top meta-analysis single nucleotide polymorphisms for these genes in the Global BPgen Consortium (n=34,433) and the Women's Genome Health Study (n=23,019) and found significant results for rs1801253 in ADRB1 (Arg389Gly), with the Gly allele associated with a lower mean systolic blood pressure (β: 0.57 mm Hg; SE: 0.09 mm Hg; meta-analysis: P=4.7×10(-10)), diastolic blood pressure (β: 0.36 mm Hg; SE: 0.06 mm Hg; meta-analysis: P=9.5×10(-10)), and prevalence of hypertension (β: 0.06 mm Hg; SE: 0.02 mm Hg; meta-analysis: P=3.3×10(-4)). Variation in AGT (rs2004776) was associated with systolic blood pressure (β: 0.42 mm Hg; SE: 0.09 mm Hg; meta-analysis: P=3.8×10(-6)), as well as diastolic blood pressure (P=5.0×10(-8)) and hypertension (P=3.7×10(-7)). A polymorphism in ACE (rs4305) showed modest replication of association with increased hypertension (β: 0.06 mm Hg; SE: 0.01 mm Hg; meta-analysis: P=3.0×10(-5)). Two loci, ADRB1 and AGT, contain single nucleotide polymorphisms that reached a genome-wide significance threshold in meta-analysis for the first time. Our findings suggest that these genes warrant further studies of their genetic effects on blood pressure, including pharmacogenetic interactions.

%B Hypertension %V 57 %P 903-10 %8 2011 May %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/21444836?dopt=Abstract %R 10.1161/HYPERTENSIONAHA.110.158667 %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 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 Nat Genet %D 2013 %T Common variants associated with plasma triglycerides and risk for coronary artery disease. %A Do, Ron %A Willer, Cristen J %A Schmidt, Ellen M %A Sengupta, Sebanti %A Gao, Chi %A Peloso, Gina M %A Gustafsson, Stefan %A Kanoni, Stavroula %A Ganna, Andrea %A Chen, Jin %A Buchkovich, Martin L %A Mora, Samia %A Beckmann, Jacques S %A Bragg-Gresham, Jennifer L %A Chang, Hsing-Yi %A Demirkan, Ayse %A Den Hertog, Heleen M %A Donnelly, Louise A %A Ehret, Georg B %A Esko, Tõnu %A Feitosa, Mary F %A Ferreira, Teresa %A Fischer, Krista %A Fontanillas, Pierre %A Fraser, Ross M %A Freitag, Daniel F %A Gurdasani, Deepti %A Heikkilä, Kauko %A Hyppönen, Elina %A Isaacs, Aaron %A Jackson, Anne U %A Johansson, Asa %A Johnson, Toby %A Kaakinen, Marika %A Kettunen, Johannes %A Kleber, Marcus E %A Li, Xiaohui %A Luan, Jian'an %A Lyytikäinen, Leo-Pekka %A Magnusson, Patrik K E %A Mangino, Massimo %A Mihailov, Evelin %A Montasser, May E %A Müller-Nurasyid, Martina %A Nolte, Ilja M %A O'Connell, Jeffrey R %A Palmer, Cameron D %A Perola, Markus %A Petersen, Ann-Kristin %A Sanna, Serena %A Saxena, Richa %A Service, Susan K %A Shah, Sonia %A Shungin, Dmitry %A Sidore, Carlo %A Song, Ci %A Strawbridge, Rona J %A Surakka, Ida %A Tanaka, Toshiko %A Teslovich, Tanya M %A Thorleifsson, Gudmar %A van den Herik, Evita G %A Voight, Benjamin F %A Volcik, Kelly A %A Waite, Lindsay L %A Wong, Andrew %A Wu, Ying %A Zhang, Weihua %A Absher, Devin %A Asiki, Gershim %A Barroso, Inês %A Been, Latonya F %A Bolton, Jennifer L %A Bonnycastle, Lori L %A Brambilla, Paolo %A Burnett, Mary S %A Cesana, Giancarlo %A Dimitriou, Maria %A Doney, Alex S F %A Döring, Angela %A Elliott, Paul %A Epstein, Stephen E %A Eyjolfsson, Gudmundur Ingi %A Gigante, Bruna %A Goodarzi, Mark O %A Grallert, Harald %A Gravito, Martha L %A Groves, Christopher J %A Hallmans, Göran %A Hartikainen, Anna-Liisa %A Hayward, Caroline %A Hernandez, Dena %A Hicks, Andrew A %A Holm, Hilma %A Hung, Yi-Jen %A Illig, Thomas %A Jones, Michelle R %A Kaleebu, Pontiano %A Kastelein, John J P %A Khaw, Kay-Tee %A Kim, Eric %A Klopp, Norman %A Komulainen, Pirjo %A Kumari, Meena %A Langenberg, Claudia %A Lehtimäki, Terho %A Lin, Shih-Yi %A Lindström, Jaana %A Loos, Ruth J F %A Mach, François %A McArdle, Wendy L %A Meisinger, Christa %A Mitchell, Braxton D %A Müller, Gabrielle %A Nagaraja, Ramaiah %A Narisu, Narisu %A Nieminen, Tuomo V M %A Nsubuga, Rebecca N %A Olafsson, Isleifur %A Ong, Ken K %A Palotie, Aarno %A Papamarkou, Theodore %A Pomilla, Cristina %A Pouta, Anneli %A Rader, Daniel J %A Reilly, Muredach P %A Ridker, Paul M %A Rivadeneira, Fernando %A Rudan, Igor %A Ruokonen, Aimo %A Samani, Nilesh %A Scharnagl, Hubert %A Seeley, Janet %A Silander, Kaisa %A Stančáková, Alena %A Stirrups, Kathleen %A Swift, Amy J %A Tiret, Laurence %A Uitterlinden, André G %A van Pelt, L Joost %A Vedantam, Sailaja %A Wainwright, Nicholas %A Wijmenga, Cisca %A Wild, Sarah H %A Willemsen, Gonneke %A Wilsgaard, Tom %A Wilson, James F %A Young, Elizabeth H %A Zhao, Jing Hua %A Adair, Linda S %A Arveiler, Dominique %A Assimes, Themistocles L %A Bandinelli, Stefania %A Bennett, Franklyn %A Bochud, Murielle %A Boehm, Bernhard O %A Boomsma, Dorret I %A Borecki, Ingrid B %A Bornstein, Stefan R %A Bovet, Pascal %A Burnier, Michel %A Campbell, Harry %A Chakravarti, Aravinda %A Chambers, John C %A Chen, Yii-Der Ida %A Collins, Francis S %A Cooper, Richard S %A Danesh, John %A Dedoussis, George %A de Faire, Ulf %A Feranil, Alan B %A Ferrieres, Jean %A Ferrucci, Luigi %A Freimer, Nelson B %A Gieger, Christian %A Groop, Leif C %A Gudnason, Vilmundur %A Gyllensten, Ulf %A Hamsten, Anders %A Harris, Tamara B %A Hingorani, Aroon %A Hirschhorn, Joel N %A Hofman, Albert %A Hovingh, G Kees %A Hsiung, Chao Agnes %A Humphries, Steve E %A Hunt, Steven C %A Hveem, Kristian %A Iribarren, Carlos %A Jarvelin, Marjo-Riitta %A Jula, Antti %A Kähönen, Mika %A Kaprio, Jaakko %A Kesäniemi, Antero %A Kivimaki, Mika %A Kooner, Jaspal S %A Koudstaal, Peter J %A Krauss, Ronald M %A Kuh, Diana %A Kuusisto, Johanna %A Kyvik, Kirsten O %A Laakso, Markku %A Lakka, Timo A %A Lind, Lars %A Lindgren, Cecilia M %A Martin, Nicholas G %A März, Winfried %A McCarthy, Mark I %A McKenzie, Colin A %A Meneton, Pierre %A Metspalu, Andres %A Moilanen, Leena %A Morris, Andrew D %A Munroe, Patricia B %A Njølstad, Inger %A Pedersen, Nancy L %A Power, Chris %A Pramstaller, Peter P %A Price, Jackie F %A Psaty, Bruce M %A Quertermous, Thomas %A Rauramaa, Rainer %A Saleheen, Danish %A Salomaa, Veikko %A Sanghera, Dharambir K %A Saramies, Jouko %A Schwarz, Peter E H %A Sheu, Wayne H-H %A Shuldiner, Alan R %A Siegbahn, Agneta %A Spector, Tim D %A Stefansson, Kari %A Strachan, David P %A Tayo, Bamidele O %A Tremoli, Elena %A Tuomilehto, Jaakko %A Uusitupa, Matti %A van Duijn, Cornelia M %A Vollenweider, Peter %A Wallentin, Lars %A Wareham, Nicholas J %A Whitfield, John B %A Wolffenbuttel, Bruce H R %A Altshuler, David %A Ordovas, Jose M %A Boerwinkle, Eric %A Palmer, Colin N A %A Thorsteinsdottir, Unnur %A Chasman, Daniel I %A Rotter, Jerome I %A Franks, Paul W %A Ripatti, Samuli %A Cupples, L Adrienne %A Sandhu, Manjinder S %A Rich, Stephen S %A Boehnke, Michael %A Deloukas, Panos %A Mohlke, Karen L %A Ingelsson, Erik %A Abecasis, Goncalo R %A Daly, Mark J %A Neale, Benjamin M %A Kathiresan, Sekar %K Biological Transport %K Cholesterol, HDL %K Cholesterol, LDL %K Coronary Artery Disease %K Humans %K Polymorphism, Single Nucleotide %K Risk Factors %K Triglycerides %X

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

%B Nat Genet %V 45 %P 1345-52 %8 2013 Nov %G eng %N 11 %R 10.1038/ng.2795 %0 Journal Article %J Nat Genet %D 2013 %T Discovery and refinement of loci associated with lipid levels. %A Willer, Cristen J %A Schmidt, Ellen M %A Sengupta, Sebanti %A Peloso, Gina M %A Gustafsson, Stefan %A Kanoni, Stavroula %A Ganna, Andrea %A Chen, Jin %A Buchkovich, Martin L %A Mora, Samia %A Beckmann, Jacques S %A Bragg-Gresham, Jennifer L %A Chang, Hsing-Yi %A Demirkan, Ayse %A Den Hertog, Heleen M %A Do, Ron %A Donnelly, Louise A %A Ehret, Georg B %A Esko, Tõnu %A Feitosa, Mary F %A Ferreira, Teresa %A Fischer, Krista %A Fontanillas, Pierre %A Fraser, Ross M %A Freitag, Daniel F %A Gurdasani, Deepti %A Heikkilä, Kauko %A Hyppönen, Elina %A Isaacs, Aaron %A Jackson, Anne U %A Johansson, Asa %A Johnson, Toby %A Kaakinen, Marika %A Kettunen, Johannes %A Kleber, Marcus E %A Li, Xiaohui %A Luan, Jian'an %A Lyytikäinen, Leo-Pekka %A Magnusson, Patrik K E %A Mangino, Massimo %A Mihailov, Evelin %A Montasser, May E %A Müller-Nurasyid, Martina %A Nolte, Ilja M %A O'Connell, Jeffrey R %A Palmer, Cameron D %A Perola, Markus %A Petersen, Ann-Kristin %A Sanna, Serena %A Saxena, Richa %A Service, Susan K %A Shah, Sonia %A Shungin, Dmitry %A Sidore, Carlo %A Song, Ci %A Strawbridge, Rona J %A Surakka, Ida %A Tanaka, Toshiko %A Teslovich, Tanya M %A Thorleifsson, Gudmar %A van den Herik, Evita G %A Voight, Benjamin F %A Volcik, Kelly A %A Waite, Lindsay L %A Wong, Andrew %A Wu, Ying %A Zhang, Weihua %A Absher, Devin %A Asiki, Gershim %A Barroso, Inês %A Been, Latonya F %A Bolton, Jennifer L %A Bonnycastle, Lori L %A Brambilla, Paolo %A Burnett, Mary S %A Cesana, Giancarlo %A Dimitriou, Maria %A Doney, Alex S F %A Döring, Angela %A Elliott, Paul %A Epstein, Stephen E %A Ingi Eyjolfsson, Gudmundur %A Gigante, Bruna %A Goodarzi, Mark O %A Grallert, Harald %A Gravito, Martha L %A Groves, Christopher J %A Hallmans, Göran %A Hartikainen, Anna-Liisa %A Hayward, Caroline %A Hernandez, Dena %A Hicks, Andrew A %A Holm, Hilma %A Hung, Yi-Jen %A Illig, Thomas %A Jones, Michelle R %A Kaleebu, Pontiano %A Kastelein, John J P %A Khaw, Kay-Tee %A Kim, Eric %A Klopp, Norman %A Komulainen, Pirjo %A Kumari, Meena %A Langenberg, Claudia %A Lehtimäki, Terho %A Lin, Shih-Yi %A Lindström, Jaana %A Loos, Ruth J F %A Mach, François %A McArdle, Wendy L %A Meisinger, Christa %A Mitchell, Braxton D %A Müller, Gabrielle %A Nagaraja, Ramaiah %A Narisu, Narisu %A Nieminen, Tuomo V M %A Nsubuga, Rebecca N %A Olafsson, Isleifur %A Ong, Ken K %A Palotie, Aarno %A Papamarkou, Theodore %A Pomilla, Cristina %A Pouta, Anneli %A Rader, Daniel J %A Reilly, Muredach P %A Ridker, Paul M %A Rivadeneira, Fernando %A Rudan, Igor %A Ruokonen, Aimo %A Samani, Nilesh %A Scharnagl, Hubert %A Seeley, Janet %A Silander, Kaisa %A Stančáková, Alena %A Stirrups, Kathleen %A Swift, Amy J %A Tiret, Laurence %A Uitterlinden, André G %A van Pelt, L Joost %A Vedantam, Sailaja %A Wainwright, Nicholas %A Wijmenga, Cisca %A Wild, Sarah H %A Willemsen, Gonneke %A Wilsgaard, Tom %A Wilson, James F %A Young, Elizabeth H %A Zhao, Jing Hua %A Adair, Linda S %A Arveiler, Dominique %A Assimes, Themistocles L %A Bandinelli, Stefania %A Bennett, Franklyn %A Bochud, Murielle %A Boehm, Bernhard O %A Boomsma, Dorret I %A Borecki, Ingrid B %A Bornstein, Stefan R %A Bovet, Pascal %A Burnier, Michel %A Campbell, Harry %A Chakravarti, Aravinda %A Chambers, John C %A Chen, Yii-Der Ida %A Collins, Francis S %A Cooper, Richard S %A Danesh, John %A Dedoussis, George %A de Faire, Ulf %A Feranil, Alan B %A Ferrieres, Jean %A Ferrucci, Luigi %A Freimer, Nelson B %A Gieger, Christian %A Groop, Leif C %A Gudnason, Vilmundur %A Gyllensten, Ulf %A Hamsten, Anders %A Harris, Tamara B %A Hingorani, Aroon %A Hirschhorn, Joel N %A Hofman, Albert %A Hovingh, G Kees %A Hsiung, Chao Agnes %A Humphries, Steve E %A Hunt, Steven C %A Hveem, Kristian %A Iribarren, Carlos %A Jarvelin, Marjo-Riitta %A Jula, Antti %A Kähönen, Mika %A Kaprio, Jaakko %A Kesäniemi, Antero %A Kivimaki, Mika %A Kooner, Jaspal S %A Koudstaal, Peter J %A Krauss, Ronald M %A Kuh, Diana %A Kuusisto, Johanna %A Kyvik, Kirsten O %A Laakso, Markku %A Lakka, Timo A %A Lind, Lars %A Lindgren, Cecilia M %A Martin, Nicholas G %A März, Winfried %A McCarthy, Mark I %A McKenzie, Colin A %A Meneton, Pierre %A Metspalu, Andres %A Moilanen, Leena %A Morris, Andrew D %A Munroe, Patricia B %A Njølstad, Inger %A Pedersen, Nancy L %A Power, Chris %A Pramstaller, Peter P %A Price, Jackie F %A Psaty, Bruce M %A Quertermous, Thomas %A Rauramaa, Rainer %A Saleheen, Danish %A Salomaa, Veikko %A Sanghera, Dharambir K %A Saramies, Jouko %A Schwarz, Peter E H %A Sheu, Wayne H-H %A Shuldiner, Alan R %A Siegbahn, Agneta %A Spector, Tim D %A Stefansson, Kari %A Strachan, David P %A Tayo, Bamidele O %A Tremoli, Elena %A Tuomilehto, Jaakko %A Uusitupa, Matti %A van Duijn, Cornelia M %A Vollenweider, Peter %A Wallentin, Lars %A Wareham, Nicholas J %A Whitfield, John B %A Wolffenbuttel, Bruce H R %A Ordovas, Jose M %A Boerwinkle, Eric %A Palmer, Colin N A %A Thorsteinsdottir, Unnur %A Chasman, Daniel I %A Rotter, Jerome I %A Franks, Paul W %A Ripatti, Samuli %A Cupples, L Adrienne %A Sandhu, Manjinder S %A Rich, Stephen S %A Boehnke, Michael %A Deloukas, Panos %A Kathiresan, Sekar %A Mohlke, Karen L %A Ingelsson, Erik %A Abecasis, Goncalo R %K African Continental Ancestry Group %K Asian Continental Ancestry Group %K Cholesterol, HDL %K Cholesterol, LDL %K Coronary Artery Disease %K European Continental Ancestry Group %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Lipids %K Triglycerides %X

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

%B Nat Genet %V 45 %P 1274-1283 %8 2013 Nov %G eng %N 11 %1 http://www.ncbi.nlm.nih.gov/pubmed/24097068?dopt=Abstract %R 10.1038/ng.2797 %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 Stroke %D 2014 %T Predicting stroke through genetic risk functions: the CHARGE Risk Score Project. %A Ibrahim-Verbaas, Carla A %A Fornage, Myriam %A Bis, Joshua C %A Choi, Seung Hoan %A Psaty, Bruce M %A Meigs, James B %A Rao, Madhu %A Nalls, Mike %A Fontes, João D %A O'Donnell, Christopher J %A Kathiresan, Sekar %A Ehret, Georg B %A Fox, Caroline S %A Malik, Rainer %A Dichgans, Martin %A Schmidt, Helena %A Lahti, Jari %A Heckbert, Susan R %A Lumley, Thomas %A Rice, Kenneth %A Rotter, Jerome I %A Taylor, Kent D %A Folsom, Aaron R %A Boerwinkle, Eric %A Rosamond, Wayne D %A Shahar, Eyal %A Gottesman, Rebecca F %A Koudstaal, Peter J %A Amin, Najaf %A Wieberdink, Renske G %A Dehghan, Abbas %A Hofman, Albert %A Uitterlinden, André G %A DeStefano, Anita L %A Debette, Stephanie %A Xue, Luting %A Beiser, Alexa %A Wolf, Philip A %A DeCarli, Charles %A Ikram, M Arfan %A Seshadri, Sudha %A Mosley, Thomas H %A Longstreth, W T %A van Duijn, Cornelia M %A Launer, Lenore J %K Age Factors %K Aged %K Aged, 80 and over %K Area Under Curve %K Case-Control Studies %K Cohort Studies %K European Continental Ancestry Group %K Female %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Regression Analysis %K Risk Factors %K ROC Curve %K Sex Factors %K Stroke %X

BACKGROUND AND PURPOSE: Beyond the Framingham Stroke Risk Score, prediction of future stroke may improve with a genetic risk score (GRS) based on single-nucleotide polymorphisms associated with stroke and its risk factors.

METHODS: The study includes 4 population-based cohorts with 2047 first incident strokes from 22,720 initially stroke-free European origin participants aged ≥55 years, who were followed for up to 20 years. GRSs were constructed with 324 single-nucleotide polymorphisms implicated in stroke and 9 risk factors. The association of the GRS to first incident stroke was tested using Cox regression; the GRS predictive properties were assessed with area under the curve statistics comparing the GRS with age and sex, Framingham Stroke Risk Score models, and reclassification statistics. These analyses were performed per cohort and in a meta-analysis of pooled data. Replication was sought in a case-control study of ischemic stroke.

RESULTS: In the meta-analysis, adding the GRS to the Framingham Stroke Risk Score, age and sex model resulted in a significant improvement in discrimination (all stroke: Δjoint area under the curve=0.016, P=2.3×10(-6); ischemic stroke: Δjoint area under the curve=0.021, P=3.7×10(-7)), although the overall area under the curve remained low. In all the studies, there was a highly significantly improved net reclassification index (P<10(-4)).

CONCLUSIONS: The single-nucleotide polymorphisms associated with stroke and its risk factors result only in a small improvement in prediction of future stroke compared with the classical epidemiological risk factors for stroke.

%B Stroke %V 45 %P 403-12 %8 2014 Feb %G eng %N 2 %1 http://www.ncbi.nlm.nih.gov/pubmed/24436238?dopt=Abstract %R 10.1161/STROKEAHA.113.003044 %0 Journal Article %J PLoS One %D 2014 %T Sequence analysis of six blood pressure candidate regions in 4,178 individuals: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) targeted sequencing study. %A Morrison, Alanna C %A Bis, Joshua C %A Hwang, Shih-Jen %A Ehret, Georg B %A Lumley, Thomas %A Rice, Kenneth %A Muzny, Donna %A Gibbs, Richard A %A Boerwinkle, Eric %A Psaty, Bruce M %A Chakravarti, Aravinda %A Levy, Daniel %K Aging %K Blood Pressure %K Cohort Studies %K Heart %K Humans %K Sequence Analysis %X

BACKGROUND: Genome-wide association studies (GWAS) identified multiple loci for blood pressure (BP) and hypertension. Six genes--ATP2B1, CACNB2, CYP17A1, JAG1, PLEKHA7, and SH2B3--were evaluated for sequence variation with large effects on systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and mean arterial pressure (MAP).

METHODS AND RESULTS: Targeted genomic sequence was determined in 4,178 European ancestry participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Common variants (≥50 minor allele copies) were evaluated individually and rare variants (minor allele frequency, MAF≤1%) were aggregated by locus. 464 common variants were identified across the 6 genes. An upstream CYP17A1 variant, rs11191416 (MAF = 0.09), was the most significant association for SBP (P = 0.0005); however the association was attenuated (P = 0.0469) after conditioning on the GWAS index single nucleotide polymorphism (SNP). A PLEKHA7 intronic variant was the strongest DBP association (rs12806040, MAF = 0.007, P = 0.0006) and was not in LD (r² = 0.01) with the GWAS SNP. A CACNB2 intronic SNP, rs1571787, was the most significant association with PP (MAF = 0.27, P = 0.0003), but was not independent from the GWAS SNP (r² = 0.34). Three variants (rs6163 and rs743572 in the CYP17A1 region and rs112467382 in PLEKHA7) were associated with BP traits (P<0.001). Rare variation, aggregately assessed in the 6 regions, was not significantly associated with BP measures.

CONCLUSION: Six targeted gene regions, previously identified by GWAS, did not harbor novel variation with large effects on BP in this sample.

%B PLoS One %V 9 %P e109155 %8 2014 %G eng %N 10 %1 http://www.ncbi.nlm.nih.gov/pubmed/25275628?dopt=Abstract %R 10.1371/journal.pone.0109155 %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 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 Circ Cardiovasc Genet %D 2016 %T Rare Exome Sequence Variants in CLCN6 Reduce Blood Pressure Levels and Hypertension Risk. %A Yu, Bing %A Pulit, Sara L %A Hwang, Shih-Jen %A Brody, Jennifer A %A Amin, Najaf %A Auer, Paul L %A Bis, Joshua C %A Boerwinkle, Eric %A Burke, Gregory L %A Chakravarti, Aravinda %A Correa, Adolfo %A Dreisbach, Albert W %A Franco, Oscar H %A Ehret, Georg B %A Franceschini, Nora %A Hofman, Albert %A Lin, Dan-Yu %A Metcalf, Ginger A %A Musani, Solomon K %A Muzny, Donna %A Palmas, Walter %A Raffel, Leslie %A Reiner, Alex %A Rice, Ken %A Rotter, Jerome I %A Veeraraghavan, Narayanan %A Fox, Ervin %A Guo, Xiuqing %A North, Kari E %A Gibbs, Richard A %A van Duijn, Cornelia M %A Psaty, Bruce M %A Levy, Daniel %A Newton-Cheh, Christopher %A Morrison, Alanna C %X

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

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

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

%B Circ Cardiovasc Genet %V 9 %P 64-70 %8 2016 Feb %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/26658788?dopt=Abstract %R 10.1161/CIRCGENETICS.115.001215 %0 Journal Article %J Circ Cardiovasc Genet %D 2017 %T New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. %A Kraja, Aldi T %A Cook, James P %A Warren, Helen R %A Surendran, Praveen %A Liu, Chunyu %A Evangelou, Evangelos %A Manning, Alisa K %A Grarup, Niels %A Drenos, Fotios %A Sim, Xueling %A Smith, Albert Vernon %A Amin, Najaf %A Blakemore, Alexandra I F %A Bork-Jensen, Jette %A Brandslund, Ivan %A Farmaki, Aliki-Eleni %A Fava, Cristiano %A Ferreira, Teresa %A Herzig, Karl-Heinz %A Giri, Ayush %A Giulianini, Franco %A Grove, Megan L %A Guo, Xiuqing %A Harris, Sarah E %A Have, Christian T %A Havulinna, Aki S %A Zhang, He %A Jørgensen, Marit E %A Käräjämäki, AnneMari %A Kooperberg, Charles %A Linneberg, Allan %A Little, Louis %A Liu, Yongmei %A Bonnycastle, Lori L %A Lu, Yingchang %A Mägi, Reedik %A Mahajan, Anubha %A Malerba, Giovanni %A Marioni, Riccardo E %A Mei, Hao %A Menni, Cristina %A Morrison, Alanna C %A Padmanabhan, Sandosh %A Palmas, Walter %A Poveda, Alaitz %A Rauramaa, Rainer %A Rayner, Nigel William %A Riaz, Muhammad %A Rice, Ken %A Richard, Melissa A %A Smith, Jennifer A %A Southam, Lorraine %A Stančáková, Alena %A Stirrups, Kathleen E %A Tragante, Vinicius %A Tuomi, Tiinamaija %A Tzoulaki, Ioanna %A Varga, Tibor V %A Weiss, Stefan %A Yiorkas, Andrianos M %A Young, Robin %A Zhang, Weihua %A Barnes, Michael R %A Cabrera, Claudia P %A Gao, He %A Boehnke, Michael %A Boerwinkle, Eric %A Chambers, John C %A Connell, John M %A Christensen, Cramer K %A de Boer, Rudolf A %A Deary, Ian J %A Dedoussis, George %A Deloukas, Panos %A Dominiczak, Anna F %A Dörr, Marcus %A Joehanes, Roby %A Edwards, Todd L %A Esko, Tõnu %A Fornage, Myriam %A Franceschini, Nora %A Franks, Paul W %A Gambaro, Giovanni %A Groop, Leif %A Hallmans, Göran %A Hansen, Torben %A Hayward, Caroline %A Heikki, Oksa %A Ingelsson, Erik %A Tuomilehto, Jaakko %A Jarvelin, Marjo-Riitta %A Kardia, Sharon L R %A Karpe, Fredrik %A Kooner, Jaspal S %A Lakka, Timo A %A Langenberg, Claudia %A Lind, Lars %A Loos, Ruth J F %A Laakso, Markku %A McCarthy, Mark I %A Melander, Olle %A Mohlke, Karen L %A Morris, Andrew P %A Palmer, Colin N A %A Pedersen, Oluf %A Polasek, Ozren %A Poulter, Neil R %A Province, Michael A %A Psaty, Bruce M %A Ridker, Paul M %A Rotter, Jerome I %A Rudan, Igor %A Salomaa, Veikko %A Samani, Nilesh J %A Sever, Peter J %A Skaaby, Tea %A Stafford, Jeanette M %A Starr, John M %A van der Harst, Pim %A van der Meer, Peter %A van Duijn, Cornelia M %A Vergnaud, Anne-Claire %A Gudnason, Vilmundur %A Wareham, Nicholas J %A Wilson, James G %A Willer, Cristen J %A Witte, Daniel R %A Zeggini, Eleftheria %A Saleheen, Danish %A Butterworth, Adam S %A Danesh, John %A Asselbergs, Folkert W %A Wain, Louise V %A Ehret, Georg B %A Chasman, Daniel I %A Caulfield, Mark J %A Elliott, Paul %A Lindgren, Cecilia M %A Levy, Daniel %A Newton-Cheh, Christopher %A Munroe, Patricia B %A Howson, Joanna M M %X

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

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

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

%B Circ Cardiovasc Genet %V 10 %8 2017 Oct %G eng %N 5 %R 10.1161/CIRCGENETICS.117.001778 %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 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 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 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