%0 Journal Article %J Nat Genet %D 2009 %T Common variants at ten loci influence QT interval duration in the QTGEN Study. %A Newton-Cheh, Christopher %A Eijgelsheim, Mark %A Rice, Kenneth M %A de Bakker, Paul I W %A Yin, Xiaoyan %A Estrada, Karol %A Bis, Joshua C %A Marciante, Kristin %A Rivadeneira, Fernando %A Noseworthy, Peter A %A Sotoodehnia, Nona %A Smith, Nicholas L %A Rotter, Jerome I %A Kors, Jan A %A Witteman, Jacqueline C M %A Hofman, Albert %A Heckbert, Susan R %A O'Donnell, Christopher J %A Uitterlinden, André G %A Psaty, Bruce M %A Lumley, Thomas %A Larson, Martin G %A Stricker, Bruno H Ch %K Adaptor Proteins, Signal Transducing %K Adult %K Aged %K Arrhythmias, Cardiac %K Chromosome Mapping %K Death, Sudden, Cardiac %K Electroencephalography %K ERG1 Potassium Channel %K Ether-A-Go-Go Potassium Channels %K European Continental Ancestry Group %K Genetic Predisposition to Disease %K Genetic Variation %K Genome, Human %K Humans %K KCNQ1 Potassium Channel %K Meta-Analysis as Topic %K Muscle Proteins %K NAV1.5 Voltage-Gated Sodium Channel %K Polymorphism, Single Nucleotide %K Potassium Channels, Voltage-Gated %K Risk Factors %K Sodium Channels %X

QT interval duration, reflecting myocardial repolarization on the electrocardiogram, is a heritable risk factor for sudden cardiac death and drug-induced arrhythmias. We conducted a meta-analysis of three genome-wide association studies in 13,685 individuals of European ancestry from the Framingham Heart Study, the Rotterdam Study and the Cardiovascular Health Study, as part of the QTGEN consortium. We observed associations at P < 5 x 10(-8) with variants in NOS1AP, KCNQ1, KCNE1, KCNH2 and SCN5A, known to be involved in myocardial repolarization and mendelian long-QT syndromes. Associations were found at five newly identified loci, including 16q21 near NDRG4 and GINS3, 6q22 near PLN, 1p36 near RNF207, 16p13 near LITAF and 17q12 near LIG3 and RFFL. Collectively, the 14 independent variants at these 10 loci explain 5.4-6.5% of the variation in QT interval. These results, together with an accompanying paper, offer insights into myocardial repolarization and suggest candidate genes that could predispose to sudden cardiac death and drug-induced arrhythmias.

%B Nat Genet %V 41 %P 399-406 %8 2009 Apr %G eng %N 4 %1 https://www.ncbi.nlm.nih.gov/pubmed/19305408?dopt=Abstract %R 10.1038/ng.364 %0 Journal Article %J Nat Genet %D 2010 %T Common variants in 22 loci are associated with QRS duration and cardiac ventricular conduction. %A Sotoodehnia, Nona %A Isaacs, Aaron %A de Bakker, Paul I W %A Dörr, Marcus %A Newton-Cheh, Christopher %A Nolte, Ilja M %A van der Harst, Pim %A Müller, Martina %A Eijgelsheim, Mark %A Alonso, Alvaro %A Hicks, Andrew A %A Padmanabhan, Sandosh %A Hayward, Caroline %A Smith, Albert Vernon %A Polasek, Ozren %A Giovannone, Steven %A Fu, Jingyuan %A Magnani, Jared W %A Marciante, Kristin D %A Pfeufer, Arne %A Gharib, Sina A %A Teumer, Alexander %A Li, Man %A Bis, Joshua C %A Rivadeneira, Fernando %A Aspelund, Thor %A Köttgen, Anna %A Johnson, Toby %A Rice, Kenneth %A Sie, Mark P S %A Wang, Ying A %A Klopp, Norman %A Fuchsberger, Christian %A Wild, Sarah H %A Mateo Leach, Irene %A Estrada, Karol %A Völker, Uwe %A Wright, Alan F %A Asselbergs, Folkert W %A Qu, Jiaxiang %A Chakravarti, Aravinda %A Sinner, Moritz F %A Kors, Jan A %A Petersmann, Astrid %A Harris, Tamara B %A Soliman, Elsayed Z %A Munroe, Patricia B %A Psaty, Bruce M %A Oostra, Ben A %A Cupples, L Adrienne %A Perz, Siegfried %A de Boer, Rudolf A %A Uitterlinden, André G %A Völzke, Henry %A Spector, Timothy D %A Liu, Fang-Yu %A Boerwinkle, Eric %A Dominiczak, Anna F %A Rotter, Jerome I %A van Herpen, Gé %A Levy, Daniel %A Wichmann, H-Erich %A van Gilst, Wiek H %A Witteman, Jacqueline C M %A Kroemer, Heyo K %A Kao, W H Linda %A Heckbert, Susan R %A Meitinger, Thomas %A Hofman, Albert %A Campbell, Harry %A Folsom, Aaron R %A van Veldhuisen, Dirk J %A Schwienbacher, Christine %A O'Donnell, Christopher J %A Volpato, Claudia Beu %A Caulfield, Mark J %A Connell, John M %A Launer, Lenore %A Lu, Xiaowen %A Franke, Lude %A Fehrmann, Rudolf S N %A te Meerman, Gerard %A Groen, Harry J M %A Weersma, Rinse K %A van den Berg, Leonard H %A Wijmenga, Cisca %A Ophoff, Roel A %A Navis, Gerjan %A Rudan, Igor %A Snieder, Harold %A Wilson, James F %A Pramstaller, Peter P %A Siscovick, David S %A Wang, Thomas J %A Gudnason, Vilmundur %A van Duijn, Cornelia M %A Felix, Stephan B %A Fishman, Glenn I %A Jamshidi, Yalda %A Stricker, Bruno H Ch %A Samani, Nilesh J %A Kääb, Stefan %A Arking, Dan E %K Animals %K Animals, Newborn %K Chromosomes, Human %K Computational Biology %K Electrocardiography %K Genetic Loci %K Genome-Wide Association Study %K Heart Conduction System %K Humans %K Mice %K Mice, Transgenic %K Models, Animal %K Myocytes, Cardiac %K NAV1.8 Voltage-Gated Sodium Channel %K Polymorphism, Single Nucleotide %K Sodium Channels %X

The QRS interval, from the beginning of the Q wave to the end of the S wave on an electrocardiogram, reflects ventricular depolarization and conduction time and is a risk factor for mortality, sudden death and heart failure. We performed a genome-wide association meta-analysis in 40,407 individuals of European descent from 14 studies, with further genotyping in 7,170 additional Europeans, and we identified 22 loci associated with QRS duration (P < 5 × 10(-8)). These loci map in or near genes in pathways with established roles in ventricular conduction such as sodium channels, transcription factors and calcium-handling proteins, but also point to previously unidentified biologic processes, such as kinase inhibitors and genes related to tumorigenesis. We demonstrate that SCN10A, a candidate gene at the most significantly associated locus in this study, is expressed in the mouse ventricular conduction system, and treatment with a selective SCN10A blocker prolongs QRS duration. These findings extend our current knowledge of ventricular depolarization and conduction.

%B Nat Genet %V 42 %P 1068-76 %8 2010 Dec %G eng %N 12 %1 http://www.ncbi.nlm.nih.gov/pubmed/21076409?dopt=Abstract %R 10.1038/ng.716 %0 Journal Article %J Nat Genet %D 2010 %T Common variants in KCNN3 are associated with lone atrial fibrillation. %A Ellinor, Patrick T %A Lunetta, Kathryn L %A Glazer, Nicole L %A Pfeufer, Arne %A Alonso, Alvaro %A Chung, Mina K %A Sinner, Moritz F %A de Bakker, Paul I W %A Mueller, Martina %A Lubitz, Steven A %A Fox, Ervin %A Darbar, Dawood %A Smith, Nicholas L %A Smith, Jonathan D %A Schnabel, Renate B %A Soliman, Elsayed Z %A Rice, Kenneth M %A Van Wagoner, David R %A Beckmann, Britt-M %A van Noord, Charlotte %A Wang, Ke %A Ehret, Georg B %A Rotter, Jerome I %A Hazen, Stanley L %A Steinbeck, Gerhard %A Smith, Albert V %A Launer, Lenore J %A Harris, Tamara B %A Makino, Seiko %A Nelis, Mari %A Milan, David J %A Perz, Siegfried %A Esko, Tõnu %A Köttgen, Anna %A Moebus, Susanne %A Newton-Cheh, Christopher %A Li, Man %A Möhlenkamp, Stefan %A Wang, Thomas J %A Kao, W H Linda %A Vasan, Ramachandran S %A Nöthen, Markus M %A MacRae, Calum A %A Stricker, Bruno H Ch %A Hofman, Albert %A Uitterlinden, André G %A Levy, Daniel %A Boerwinkle, Eric %A Metspalu, Andres %A Topol, Eric J %A Chakravarti, Aravinda %A Gudnason, Vilmundur %A Psaty, Bruce M %A Roden, Dan M %A Meitinger, Thomas %A Wichmann, H-Erich %A Witteman, Jacqueline C M %A Barnard, John %A Arking, Dan E %A Benjamin, Emelia J %A Heckbert, Susan R %A Kääb, Stefan %K Adolescent %K Adult %K Aged %K Atrial Fibrillation %K Case-Control Studies %K Cohort Studies %K Female %K Genome-Wide Association Study %K Humans %K Introns %K Male %K Meta-Analysis as Topic %K Middle Aged %K Polymorphism, Single Nucleotide %K Small-Conductance Calcium-Activated Potassium Channels %K Young Adult %X

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

%B Nat Genet %V 42 %P 240-4 %8 2010 Mar %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/20173747?dopt=Abstract %R 10.1038/ng.537 %0 Journal Article %J Hum Mol Genet %D 2010 %T Genome-wide association analysis identifies multiple loci related to resting heart rate. %A Eijgelsheim, Mark %A Newton-Cheh, Christopher %A Sotoodehnia, Nona %A de Bakker, Paul I W %A Müller, Martina %A Morrison, Alanna C %A Smith, Albert V %A Isaacs, Aaron %A Sanna, Serena %A Dörr, Marcus %A Navarro, Pau %A Fuchsberger, Christian %A Nolte, Ilja M %A de Geus, Eco J C %A Estrada, Karol %A Hwang, Shih-Jen %A Bis, Joshua C %A Rückert, Ina-Maria %A Alonso, Alvaro %A Launer, Lenore J %A Hottenga, Jouke Jan %A Rivadeneira, Fernando %A Noseworthy, Peter A %A Rice, Kenneth M %A Perz, Siegfried %A Arking, Dan E %A Spector, Tim D %A Kors, Jan A %A Aulchenko, Yurii S %A Tarasov, Kirill V %A Homuth, Georg %A Wild, Sarah H %A Marroni, Fabio %A Gieger, Christian %A Licht, Carmilla M %A Prineas, Ronald J %A Hofman, Albert %A Rotter, Jerome I %A Hicks, Andrew A %A Ernst, Florian %A Najjar, Samer S %A Wright, Alan F %A Peters, Annette %A Fox, Ervin R %A Oostra, Ben A %A Kroemer, Heyo K %A Couper, David %A Völzke, Henry %A Campbell, Harry %A Meitinger, Thomas %A Uda, Manuela %A Witteman, Jacqueline C M %A Psaty, Bruce M %A Wichmann, H-Erich %A Harris, Tamara B %A Kääb, Stefan %A Siscovick, David S %A Jamshidi, Yalda %A Uitterlinden, André G %A Folsom, Aaron R %A Larson, Martin G %A Wilson, James F %A Penninx, Brenda W %A Snieder, Harold %A Pramstaller, Peter P %A van Duijn, Cornelia M %A Lakatta, Edward G %A Felix, Stephan B %A Gudnason, Vilmundur %A Pfeufer, Arne %A Heckbert, Susan R %A Stricker, Bruno H Ch %A Boerwinkle, Eric %A O'Donnell, Christopher J %K Adult %K Aged %K Base Pairing %K Cohort Studies %K Female %K Genetic Loci %K Genome, Human %K Genome-Wide Association Study %K Heart Rate %K Humans %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Rest %X

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

%B Hum Mol Genet %V 19 %P 3885-94 %8 2010 Oct 01 %G eng %N 19 %1 http://www.ncbi.nlm.nih.gov/pubmed/20639392?dopt=Abstract %R 10.1093/hmg/ddq303 %0 Journal Article %J Lancet Neurol %D 2012 %T Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies. %A Traylor, Matthew %A Farrall, Martin %A Holliday, Elizabeth G %A Sudlow, Cathie %A Hopewell, Jemma C %A Cheng, Yu-Ching %A Fornage, Myriam %A Ikram, M Arfan %A Malik, Rainer %A Bevan, Steve %A Thorsteinsdottir, Unnur %A Nalls, Mike A %A Longstreth, Wt %A Wiggins, Kerri L %A Yadav, Sunaina %A Parati, Eugenio A %A DeStefano, Anita L %A Worrall, Bradford B %A Kittner, Steven J %A Khan, Muhammad Saleem %A Reiner, Alex P %A Helgadottir, Anna %A Achterberg, Sefanja %A Fernandez-Cadenas, Israel %A Abboud, Sherine %A Schmidt, Reinhold %A Walters, Matthew %A Chen, Wei-Min %A Ringelstein, E Bernd %A O'Donnell, Martin %A Ho, Weang Kee %A Pera, Joanna %A Lemmens, Robin %A Norrving, Bo %A Higgins, Peter %A Benn, Marianne %A Sale, Michele %A Kuhlenbäumer, Gregor %A Doney, Alexander S F %A Vicente, Astrid M %A Delavaran, Hossein %A Algra, Ale %A Davies, Gail %A Oliveira, Sofia A %A Palmer, Colin N A %A Deary, Ian %A Schmidt, Helena %A Pandolfo, Massimo %A Montaner, Joan %A Carty, Cara %A de Bakker, Paul I W %A Kostulas, Konstantinos %A Ferro, Jose M %A van Zuydam, Natalie R %A Valdimarsson, Einar %A Nordestgaard, Børge G %A Lindgren, Arne %A Thijs, Vincent %A Slowik, Agnieszka %A Saleheen, Danish %A Paré, Guillaume %A Berger, Klaus %A Thorleifsson, Gudmar %A Hofman, Albert %A Mosley, Thomas H %A Mitchell, Braxton D %A Furie, Karen %A Clarke, Robert %A Levi, Christopher %A Seshadri, Sudha %A Gschwendtner, Andreas %A Boncoraglio, Giorgio B %A Sharma, Pankaj %A Bis, Joshua C %A Gretarsdottir, Solveig %A Psaty, Bruce M %A Rothwell, Peter M %A Rosand, Jonathan %A Meschia, James F %A Stefansson, Kari %A Dichgans, Martin %A Markus, Hugh S %K Brain Ischemia %K Databases, Genetic %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Risk Factors %K Stroke %X

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

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

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

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

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

%B Lancet Neurol %V 11 %P 951-62 %8 2012 Nov %G eng %N 11 %1 http://www.ncbi.nlm.nih.gov/pubmed/23041239?dopt=Abstract %R 10.1016/S1474-4422(12)70234-X %0 Journal Article %J Nat Genet %D 2013 %T Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders. %A den Hoed, Marcel %A Eijgelsheim, Mark %A Esko, Tõnu %A Brundel, Bianca J J M %A Peal, David S %A Evans, David M %A Nolte, Ilja M %A Segrè, Ayellet V %A Holm, Hilma %A Handsaker, Robert E %A Westra, Harm-Jan %A Johnson, Toby %A Isaacs, Aaron %A Yang, Jian %A Lundby, Alicia %A Zhao, Jing Hua %A Kim, Young Jin %A Go, Min Jin %A Almgren, Peter %A Bochud, Murielle %A Boucher, Gabrielle %A Cornelis, Marilyn C %A Gudbjartsson, Daniel %A Hadley, David %A van der Harst, Pim %A Hayward, Caroline %A den Heijer, Martin %A Igl, Wilmar %A Jackson, Anne U %A Kutalik, Zoltán %A Luan, Jian'an %A Kemp, John P %A Kristiansson, Kati %A Ladenvall, Claes %A Lorentzon, Mattias %A Montasser, May E %A Njajou, Omer T %A O'Reilly, Paul F %A Padmanabhan, Sandosh %A St Pourcain, Beate %A Rankinen, Tuomo %A Salo, Perttu %A Tanaka, Toshiko %A Timpson, Nicholas J %A Vitart, Veronique %A Waite, Lindsay %A Wheeler, William %A Zhang, Weihua %A Draisma, Harmen H M %A Feitosa, Mary F %A Kerr, Kathleen F %A Lind, Penelope A %A Mihailov, Evelin %A Onland-Moret, N Charlotte %A Song, Ci %A Weedon, Michael N %A Xie, Weijia %A Yengo, Loic %A Absher, Devin %A Albert, Christine M %A Alonso, Alvaro %A Arking, Dan E %A de Bakker, Paul I W %A Balkau, Beverley %A Barlassina, Cristina %A Benaglio, Paola %A Bis, Joshua C %A Bouatia-Naji, Nabila %A Brage, Søren %A Chanock, Stephen J %A Chines, Peter S %A Chung, Mina %A Darbar, Dawood %A Dina, Christian %A Dörr, Marcus %A Elliott, Paul %A Felix, Stephan B %A Fischer, Krista %A Fuchsberger, Christian %A de Geus, Eco J C %A Goyette, Philippe %A Gudnason, Vilmundur %A Harris, Tamara B %A Hartikainen, Anna-Liisa %A Havulinna, Aki S %A Heckbert, Susan R %A Hicks, Andrew A %A Hofman, Albert %A Holewijn, Suzanne %A Hoogstra-Berends, Femke %A Hottenga, Jouke-Jan %A Jensen, Majken K %A Johansson, Asa %A Junttila, Juhani %A Kääb, Stefan %A Kanon, Bart %A Ketkar, Shamika %A Khaw, Kay-Tee %A Knowles, Joshua W %A Kooner, Angrad S %A Kors, Jan A %A Kumari, Meena %A Milani, Lili %A Laiho, Päivi %A Lakatta, Edward G %A Langenberg, Claudia %A Leusink, Maarten %A Liu, Yongmei %A Luben, Robert N %A Lunetta, Kathryn L %A Lynch, Stacey N %A Markus, Marcello R P %A Marques-Vidal, Pedro %A Mateo Leach, Irene %A McArdle, Wendy L %A McCarroll, Steven A %A Medland, Sarah E %A Miller, Kathryn A %A Montgomery, Grant W %A Morrison, Alanna C %A Müller-Nurasyid, Martina %A Navarro, Pau %A Nelis, Mari %A O'Connell, Jeffrey R %A O'Donnell, Christopher J %A Ong, Ken K %A Newman, Anne B %A Peters, Annette %A Polasek, Ozren %A Pouta, Anneli %A Pramstaller, Peter P %A Psaty, Bruce M %A Rao, Dabeeru C %A Ring, Susan M %A Rossin, Elizabeth J %A Rudan, Diana %A Sanna, Serena %A Scott, Robert A %A Sehmi, Jaban S %A Sharp, Stephen %A Shin, Jordan T %A Singleton, Andrew B %A Smith, Albert V %A Soranzo, Nicole %A Spector, Tim D %A Stewart, Chip %A Stringham, Heather M %A Tarasov, Kirill V %A Uitterlinden, André G %A Vandenput, Liesbeth %A Hwang, Shih-Jen %A Whitfield, John B %A Wijmenga, Cisca %A Wild, Sarah H %A Willemsen, Gonneke %A Wilson, James F %A Witteman, Jacqueline C M %A Wong, Andrew %A Wong, Quenna %A Jamshidi, Yalda %A Zitting, Paavo %A Boer, Jolanda M A %A Boomsma, Dorret I %A Borecki, Ingrid B %A van Duijn, Cornelia M %A Ekelund, Ulf %A Forouhi, Nita G %A Froguel, Philippe %A Hingorani, Aroon %A Ingelsson, Erik %A Kivimaki, Mika %A Kronmal, Richard A %A Kuh, Diana %A Lind, Lars %A Martin, Nicholas G %A Oostra, Ben A %A Pedersen, Nancy L %A Quertermous, Thomas %A Rotter, Jerome I %A van der Schouw, Yvonne T %A Verschuren, W M Monique %A Walker, Mark %A Albanes, Demetrius %A Arnar, David O %A Assimes, Themistocles L %A Bandinelli, Stefania %A Boehnke, Michael %A de Boer, Rudolf A %A Bouchard, Claude %A Caulfield, W L Mark %A Chambers, John C %A Curhan, Gary %A Cusi, Daniele %A Eriksson, Johan %A Ferrucci, Luigi %A van Gilst, Wiek H %A Glorioso, Nicola %A de Graaf, Jacqueline %A Groop, Leif %A Gyllensten, Ulf %A Hsueh, Wen-Chi %A Hu, Frank B %A Huikuri, Heikki V %A Hunter, David J %A Iribarren, Carlos %A Isomaa, Bo %A Jarvelin, Marjo-Riitta %A Jula, Antti %A Kähönen, Mika %A Kiemeney, Lambertus A %A van der Klauw, Melanie M %A Kooner, Jaspal S %A Kraft, Peter %A Iacoviello, Licia %A Lehtimäki, Terho %A Lokki, Marja-Liisa L %A Mitchell, Braxton D %A Navis, Gerjan %A Nieminen, Markku S %A Ohlsson, Claes %A Poulter, Neil R %A Qi, Lu %A Raitakari, Olli T %A Rimm, Eric B %A Rioux, John D %A Rizzi, Federica %A Rudan, Igor %A Salomaa, Veikko %A Sever, Peter S %A Shields, Denis C %A Shuldiner, Alan R %A Sinisalo, Juha %A Stanton, Alice V %A Stolk, Ronald P %A Strachan, David P %A Tardif, Jean-Claude %A Thorsteinsdottir, Unnur %A Tuomilehto, Jaako %A van Veldhuisen, Dirk J %A Virtamo, Jarmo %A Viikari, Jorma %A Vollenweider, Peter %A Waeber, Gérard %A Widen, Elisabeth %A Cho, Yoon Shin %A Olsen, Jesper V %A Visscher, Peter M %A Willer, Cristen %A Franke, Lude %A Erdmann, Jeanette %A Thompson, John R %A Pfeufer, Arne %A Sotoodehnia, Nona %A Newton-Cheh, Christopher %A Ellinor, Patrick T %A Stricker, Bruno H Ch %A Metspalu, Andres %A Perola, Markus %A Beckmann, Jacques S %A Smith, George Davey %A Stefansson, Kari %A Wareham, Nicholas J %A Munroe, Patricia B %A Sibon, Ody C M %A Milan, David J %A Snieder, Harold %A Samani, Nilesh J %A Loos, Ruth J F %K Animals %K Arrhythmias, Cardiac %K Gene Frequency %K Genetic Loci %K Genome-Wide Association Study %K Heart Conduction System %K Heart Rate %K Humans %K Metabolic Networks and Pathways %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %X

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

%B Nat Genet %V 45 %P 621-31 %8 2013 Jun %G eng %N 6 %R 10.1038/ng.2610 %0 Journal Article %J BMJ %D 2014 %T Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data. %A Holmes, Michael V %A Dale, Caroline E %A Zuccolo, Luisa %A Silverwood, Richard J %A Guo, Yiran %A Ye, Zheng %A Prieto-Merino, David %A Dehghan, Abbas %A Trompet, Stella %A Wong, Andrew %A Cavadino, Alana %A Drogan, Dagmar %A Padmanabhan, Sandosh %A Li, Shanshan %A Yesupriya, Ajay %A Leusink, Maarten %A Sundström, Johan %A Hubacek, Jaroslav A %A Pikhart, Hynek %A Swerdlow, Daniel I %A Panayiotou, Andrie G %A Borinskaya, Svetlana A %A Finan, Chris %A Shah, Sonia %A Kuchenbaecker, Karoline B %A Shah, Tina %A Engmann, Jorgen %A Folkersen, Lasse %A Eriksson, Per %A Ricceri, Fulvio %A Melander, Olle %A Sacerdote, Carlotta %A Gamble, Dale M %A Rayaprolu, Sruti %A Ross, Owen A %A McLachlan, Stela %A Vikhireva, Olga %A Sluijs, Ivonne %A Scott, Robert A %A Adamkova, Vera %A Flicker, Leon %A Bockxmeer, Frank M van %A Power, Christine %A Marques-Vidal, Pedro %A Meade, Tom %A Marmot, Michael G %A Ferro, Jose M %A Paulos-Pinheiro, Sofia %A Humphries, Steve E %A Talmud, Philippa J %A Mateo Leach, Irene %A Verweij, Niek %A Linneberg, Allan %A Skaaby, Tea %A Doevendans, Pieter A %A Cramer, Maarten J %A van der Harst, Pim %A Klungel, Olaf H %A Dowling, Nicole F %A Dominiczak, Anna F %A Kumari, Meena %A Nicolaides, Andrew N %A Weikert, Cornelia %A Boeing, Heiner %A Ebrahim, Shah %A Gaunt, Tom R %A Price, Jackie F %A Lannfelt, Lars %A Peasey, Anne %A Kubinova, Ruzena %A Pajak, Andrzej %A Malyutina, Sofia %A Voevoda, Mikhail I %A Tamosiunas, Abdonas %A Maitland-van der Zee, Anke H %A Norman, Paul E %A Hankey, Graeme J %A Bergmann, Manuela M %A Hofman, Albert %A Franco, Oscar H %A Cooper, Jackie %A Palmen, Jutta %A Spiering, Wilko %A de Jong, Pim A %A Kuh, Diana %A Hardy, Rebecca %A Uitterlinden, André G %A Ikram, M Arfan %A Ford, Ian %A Hyppönen, Elina %A Almeida, Osvaldo P %A Wareham, Nicholas J %A Khaw, Kay-Tee %A Hamsten, Anders %A Husemoen, Lise Lotte N %A Tjønneland, Anne %A Tolstrup, Janne S %A Rimm, Eric %A Beulens, Joline W J %A Verschuren, W M Monique %A Onland-Moret, N Charlotte %A Hofker, Marten H %A Wannamethee, S Goya %A Whincup, Peter H %A Morris, Richard %A Vicente, Astrid M %A Watkins, Hugh %A Farrall, Martin %A Jukema, J Wouter %A Meschia, James %A Cupples, L Adrienne %A Sharp, Stephen J %A Fornage, Myriam %A Kooperberg, Charles %A LaCroix, Andrea Z %A Dai, James Y %A Lanktree, Matthew B %A Siscovick, David S %A Jorgenson, Eric %A Spring, Bonnie %A Coresh, Josef %A Li, Yun R %A Buxbaum, Sarah G %A Schreiner, Pamela J %A Ellison, R Curtis %A Tsai, Michael Y %A Patel, Sanjay R %A Redline, Susan %A Johnson, Andrew D %A Hoogeveen, Ron C %A Hakonarson, Hakon %A Rotter, Jerome I %A Boerwinkle, Eric %A de Bakker, Paul I W %A Kivimaki, Mika %A Asselbergs, Folkert W %A Sattar, Naveed %A Lawlor, Debbie A %A Whittaker, John %A Davey Smith, George %A Mukamal, Kenneth %A Psaty, Bruce M %A Wilson, James G %A Lange, Leslie A %A Hamidovic, Ajna %A Hingorani, Aroon D %A Nordestgaard, Børge G %A Bobak, Martin %A Leon, David A %A Langenberg, Claudia %A Palmer, Tom M %A Reiner, Alex P %A Keating, Brendan J %A Dudbridge, Frank %A Casas, Juan P %K Adult %K Aged %K Alcohol Dehydrogenase %K Alcohol Drinking %K Biomarkers %K Coronary Disease %K Female %K Genetic Markers %K Genotype %K Humans %K Male %K Mendelian Randomization Analysis %K Middle Aged %K Models, Statistical %K Polymorphism, Single Nucleotide %K Stroke %X

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

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

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

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

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

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

%B BMJ %V 349 %P g4164 %8 2014 Jul 10 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/25011450?dopt=Abstract %R 10.1136/bmj.g4164 %0 Journal Article %J Nat Genet %D 2014 %T Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization. %A Arking, Dan E %A Pulit, Sara L %A Crotti, Lia %A van der Harst, Pim %A Munroe, Patricia B %A Koopmann, Tamara T %A Sotoodehnia, Nona %A Rossin, Elizabeth J %A Morley, Michael %A Wang, Xinchen %A Johnson, Andrew D %A Lundby, Alicia %A Gudbjartsson, Daniel F %A Noseworthy, Peter A %A Eijgelsheim, Mark %A Bradford, Yuki %A Tarasov, Kirill V %A Dörr, Marcus %A Müller-Nurasyid, Martina %A Lahtinen, Annukka M %A Nolte, Ilja M %A Smith, Albert Vernon %A Bis, Joshua C %A Isaacs, Aaron %A Newhouse, Stephen J %A Evans, Daniel S %A Post, Wendy S %A Waggott, Daryl %A Lyytikäinen, Leo-Pekka %A Hicks, Andrew A %A Eisele, Lewin %A Ellinghaus, David %A Hayward, Caroline %A Navarro, Pau %A Ulivi, Sheila %A Tanaka, Toshiko %A Tester, David J %A Chatel, Stéphanie %A Gustafsson, Stefan %A Kumari, Meena %A Morris, Richard W %A Naluai, Åsa T %A Padmanabhan, Sandosh %A Kluttig, Alexander %A Strohmer, Bernhard %A Panayiotou, Andrie G %A Torres, Maria %A Knoflach, Michael %A Hubacek, Jaroslav A %A Slowikowski, Kamil %A Raychaudhuri, Soumya %A Kumar, Runjun D %A Harris, Tamara B %A Launer, Lenore J %A Shuldiner, Alan R %A Alonso, Alvaro %A Bader, Joel S %A Ehret, Georg %A Huang, Hailiang %A Kao, W H Linda %A Strait, James B %A Macfarlane, Peter W %A Brown, Morris %A Caulfield, Mark J %A Samani, Nilesh J %A Kronenberg, Florian %A Willeit, Johann %A Smith, J Gustav %A Greiser, Karin H %A Meyer Zu Schwabedissen, Henriette %A Werdan, Karl %A Carella, Massimo %A Zelante, Leopoldo %A Heckbert, Susan R %A Psaty, Bruce M %A Rotter, Jerome I %A Kolcic, Ivana %A Polasek, Ozren %A Wright, Alan F %A Griffin, Maura %A Daly, Mark J %A Arnar, David O %A Holm, Hilma %A Thorsteinsdottir, Unnur %A Denny, Joshua C %A Roden, Dan M %A Zuvich, Rebecca L %A Emilsson, Valur %A Plump, Andrew S %A Larson, Martin G %A O'Donnell, Christopher J %A Yin, Xiaoyan %A Bobbo, Marco %A D'Adamo, Adamo P %A Iorio, Annamaria %A Sinagra, Gianfranco %A Carracedo, Angel %A Cummings, Steven R %A Nalls, Michael A %A Jula, Antti %A Kontula, Kimmo K %A Marjamaa, Annukka %A Oikarinen, Lasse %A Perola, Markus %A Porthan, Kimmo %A Erbel, Raimund %A Hoffmann, Per %A Jöckel, Karl-Heinz %A Kälsch, Hagen %A Nöthen, Markus M %A den Hoed, Marcel %A Loos, Ruth J F %A Thelle, Dag S %A Gieger, Christian %A Meitinger, Thomas %A Perz, Siegfried %A Peters, Annette %A Prucha, Hanna %A Sinner, Moritz F %A Waldenberger, Melanie %A de Boer, Rudolf A %A Franke, Lude %A van der Vleuten, Pieter A %A Beckmann, Britt Maria %A Martens, Eimo %A Bardai, Abdennasser %A Hofman, Nynke %A Wilde, Arthur A M %A Behr, Elijah R %A Dalageorgou, Chrysoula %A Giudicessi, John R %A Medeiros-Domingo, Argelia %A Barc, Julien %A Kyndt, Florence %A Probst, Vincent %A Ghidoni, Alice %A Insolia, Roberto %A Hamilton, Robert M %A Scherer, Stephen W %A Brandimarto, Jeffrey %A Margulies, Kenneth %A Moravec, Christine E %A del Greco M, Fabiola %A Fuchsberger, Christian %A O'Connell, Jeffrey R %A Lee, Wai K %A Watt, Graham C M %A Campbell, Harry %A Wild, Sarah H %A El Mokhtari, Nour E %A Frey, Norbert %A Asselbergs, Folkert W %A Mateo Leach, Irene %A Navis, Gerjan %A van den Berg, Maarten P %A van Veldhuisen, Dirk J %A Kellis, Manolis %A Krijthe, Bouwe P %A Franco, Oscar H %A Hofman, Albert %A Kors, Jan A %A Uitterlinden, André G %A Witteman, Jacqueline C M %A Kedenko, Lyudmyla %A Lamina, Claudia %A Oostra, Ben A %A Abecasis, Goncalo R %A Lakatta, Edward G %A Mulas, Antonella %A Orrù, Marco %A Schlessinger, David %A Uda, Manuela %A Markus, Marcello R P %A Völker, Uwe %A Snieder, Harold %A Spector, Timothy D %A Arnlöv, Johan %A Lind, Lars %A Sundström, Johan %A Syvänen, Ann-Christine %A Kivimaki, Mika %A Kähönen, Mika %A Mononen, Nina %A Raitakari, Olli T %A Viikari, Jorma S %A Adamkova, Vera %A Kiechl, Stefan %A Brion, Maria %A Nicolaides, Andrew N %A Paulweber, Bernhard %A Haerting, Johannes %A Dominiczak, Anna F %A Nyberg, Fredrik %A Whincup, Peter H %A Hingorani, Aroon D %A Schott, Jean-Jacques %A Bezzina, Connie R %A Ingelsson, Erik %A Ferrucci, Luigi %A Gasparini, Paolo %A Wilson, James F %A Rudan, Igor %A Franke, Andre %A Mühleisen, Thomas W %A Pramstaller, Peter P %A Lehtimäki, Terho J %A Paterson, Andrew D %A Parsa, Afshin %A Liu, Yongmei %A van Duijn, Cornelia M %A Siscovick, David S %A Gudnason, Vilmundur %A Jamshidi, Yalda %A Salomaa, Veikko %A Felix, Stephan B %A Sanna, Serena %A Ritchie, Marylyn D %A Stricker, Bruno H %A Stefansson, Kari %A Boyer, Laurie A %A Cappola, Thomas P %A Olsen, Jesper V %A Lage, Kasper %A Schwartz, Peter J %A Kääb, Stefan %A Chakravarti, Aravinda %A Ackerman, Michael J %A Pfeufer, Arne %A de Bakker, Paul I W %A Newton-Cheh, Christopher %K Adult %K Aged %K Arrhythmias, Cardiac %K Calcium Signaling %K Death, Sudden, Cardiac %K Electrocardiography %K Female %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Heart Ventricles %K Humans %K Long QT Syndrome %K Male %K Middle Aged %K Myocardium %K Polymorphism, Single Nucleotide %X

The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD.

%B Nat Genet %V 46 %P 826-36 %8 2014 Aug %G eng %N 8 %1 http://www.ncbi.nlm.nih.gov/pubmed/24952745?dopt=Abstract %R 10.1038/ng.3014 %0 Journal Article %J Neurology %D 2014 %T Meta-analysis in more than 17,900 cases of ischemic stroke reveals a novel association at 12q24.12. %A Kilarski, Laura L %A Achterberg, Sefanja %A Devan, William J %A Traylor, Matthew %A Malik, Rainer %A Lindgren, Arne %A Pare, Guillame %A Sharma, Pankaj %A Slowik, Agniesczka %A Thijs, Vincent %A Walters, Matthew %A Worrall, Bradford B %A Sale, Michèle M %A Algra, Ale %A Kappelle, L Jaap %A Wijmenga, Cisca %A Norrving, Bo %A Sandling, Johanna K %A Rönnblom, Lars %A Goris, An %A Franke, Andre %A Sudlow, Cathie %A Rothwell, Peter M %A Levi, Christopher %A Holliday, Elizabeth G %A Fornage, Myriam %A Psaty, Bruce %A Gretarsdottir, Solveig %A Thorsteinsdottir, Unnar %A Seshadri, Sudha %A Mitchell, Braxton D %A Kittner, Steven %A Clarke, Robert %A Hopewell, Jemma C %A Bis, Joshua C %A Boncoraglio, Giorgio B %A Meschia, James %A Ikram, M Arfan %A Hansen, Bjorn M %A Montaner, Joan %A Thorleifsson, Gudmar %A Stefanson, Kari %A Rosand, Jonathan %A de Bakker, Paul I W %A Farrall, Martin %A Dichgans, Martin %A Markus, Hugh S %A Bevan, Steve %K Brain Ischemia %K Cerebral Hemorrhage %K Chromosomes, Human, Pair 12 %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Polymorphism, Single Nucleotide %K Risk %K Stroke %X

OBJECTIVES: To perform a genome-wide association study (GWAS) using the Immunochip array in 3,420 cases of ischemic stroke and 6,821 controls, followed by a meta-analysis with data from more than 14,000 additional ischemic stroke cases.

METHODS: Using the Immunochip, we genotyped 3,420 ischemic stroke cases and 6,821 controls. After imputation we meta-analyzed the results with imputed GWAS data from 3,548 cases and 5,972 controls recruited from the ischemic stroke WTCCC2 study, and with summary statistics from a further 8,480 cases and 56,032 controls in the METASTROKE consortium. A final in silico "look-up" of 2 single nucleotide polymorphisms in 2,522 cases and 1,899 controls was performed. Associations were also examined in 1,088 cases with intracerebral hemorrhage and 1,102 controls.

RESULTS: In an overall analysis of 17,970 cases of ischemic stroke and 70,764 controls, we identified a novel association on chromosome 12q24 (rs10744777, odds ratio [OR] 1.10 [1.07-1.13], p = 7.12 × 10(-11)) with ischemic stroke. The association was with all ischemic stroke rather than an individual stroke subtype, with similar effect sizes seen in different stroke subtypes. There was no association with intracerebral hemorrhage (OR 1.03 [0.90-1.17], p = 0.695).

CONCLUSION: Our results show, for the first time, a genetic risk locus associated with ischemic stroke as a whole, rather than in a subtype-specific manner. This finding was not associated with intracerebral hemorrhage.

%B Neurology %V 83 %P 678-85 %8 2014 Aug 19 %G eng %N 8 %1 http://www.ncbi.nlm.nih.gov/pubmed/25031287?dopt=Abstract %R 10.1212/WNL.0000000000000707 %0 Journal Article %J Nat Commun %D 2015 %T Genome of The Netherlands population-specific imputations identify an ABCA6 variant associated with cholesterol levels. %A van Leeuwen, Elisabeth M %A Karssen, Lennart C %A Deelen, Joris %A Isaacs, Aaron %A Medina-Gómez, Carolina %A Mbarek, Hamdi %A Kanterakis, Alexandros %A Trompet, Stella %A Postmus, Iris %A Verweij, Niek %A van Enckevort, David J %A Huffman, Jennifer E %A White, Charles C %A Feitosa, Mary F %A Bartz, Traci M %A Manichaikul, Ani %A Joshi, Peter K %A Peloso, Gina M %A Deelen, Patrick %A van Dijk, Freerk %A Willemsen, Gonneke %A de Geus, Eco J %A Milaneschi, Yuri %A Penninx, Brenda W J H %A Francioli, Laurent C %A Menelaou, Androniki %A Pulit, Sara L %A Rivadeneira, Fernando %A Hofman, Albert %A Oostra, Ben A %A Franco, Oscar H %A Mateo Leach, Irene %A Beekman, Marian %A de Craen, Anton J M %A Uh, Hae-Won %A Trochet, Holly %A Hocking, Lynne J %A Porteous, David J %A Sattar, Naveed %A Packard, Chris J %A Buckley, Brendan M %A Brody, Jennifer A %A Bis, Joshua C %A Rotter, Jerome I %A Mychaleckyj, Josyf C %A Campbell, Harry %A Duan, Qing %A Lange, Leslie A %A Wilson, James F %A Hayward, Caroline %A Polasek, Ozren %A Vitart, Veronique %A Rudan, Igor %A Wright, Alan F %A Rich, Stephen S %A Psaty, Bruce M %A Borecki, Ingrid B %A Kearney, Patricia M %A Stott, David J %A Adrienne Cupples, L %A Jukema, J Wouter %A van der Harst, Pim %A Sijbrands, Eric J %A Hottenga, Jouke-Jan %A Uitterlinden, André G %A Swertz, Morris A %A van Ommen, Gert-Jan B %A de Bakker, Paul I W %A Eline Slagboom, P %A Boomsma, Dorret I %A Wijmenga, Cisca %A van Duijn, Cornelia M %K ATP-Binding Cassette Transporters %K Cholesterol %K Gene Frequency %K Genetic Association Studies %K Humans %K Mutation, Missense %K Netherlands %X

Variants associated with blood lipid levels may be population-specific. To identify low-frequency variants associated with this phenotype, population-specific reference panels may be used. Here we impute nine large Dutch biobanks (~35,000 samples) with the population-specific reference panel created by the Genome of The Netherlands Project and perform association testing with blood lipid levels. We report the discovery of five novel associations at four loci (P value <6.61 × 10(-4)), including a rare missense variant in ABCA6 (rs77542162, p.Cys1359Arg, frequency 0.034), which is predicted to be deleterious. The frequency of this ABCA6 variant is 3.65-fold increased in the Dutch and its effect (βLDL-C=0.135, βTC=0.140) is estimated to be very similar to those observed for single variants in well-known lipid genes, such as LDLR.

%B Nat Commun %V 6 %P 6065 %8 2015 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/25751400?dopt=Abstract %R 10.1038/ncomms7065 %0 Journal Article %J Eur Heart J %D 2015 %T Mendelian randomization of blood lipids for coronary heart disease. %A Holmes, Michael V %A Asselbergs, Folkert W %A Palmer, Tom M %A Drenos, Fotios %A Lanktree, Matthew B %A Nelson, Christopher P %A Dale, Caroline E %A Padmanabhan, Sandosh %A Finan, Chris %A Swerdlow, Daniel I %A Tragante, Vinicius %A van Iperen, Erik P A %A Sivapalaratnam, Suthesh %A Shah, Sonia %A Elbers, Clara C %A Shah, Tina %A Engmann, Jorgen %A Giambartolomei, Claudia %A White, Jon %A Zabaneh, Delilah %A Sofat, Reecha %A McLachlan, Stela %A Doevendans, Pieter A %A Balmforth, Anthony J %A Hall, Alistair S %A North, Kari E %A Almoguera, Berta %A Hoogeveen, Ron C %A Cushman, Mary %A Fornage, Myriam %A Patel, Sanjay R %A Redline, Susan %A Siscovick, David S %A Tsai, Michael Y %A Karczewski, Konrad J %A Hofker, Marten H %A Verschuren, W Monique %A Bots, Michiel L %A van der Schouw, Yvonne T %A Melander, Olle %A Dominiczak, Anna F %A Morris, Richard %A Ben-Shlomo, Yoav %A Price, Jackie %A Kumari, Meena %A Baumert, Jens %A Peters, Annette %A Thorand, Barbara %A Koenig, Wolfgang %A Gaunt, Tom R %A Humphries, Steve E %A Clarke, Robert %A Watkins, Hugh %A Farrall, Martin %A Wilson, James G %A Rich, Stephen S %A de Bakker, Paul I W %A Lange, Leslie A %A Davey Smith, George %A Reiner, Alex P %A Talmud, Philippa J %A Kivimaki, Mika %A Lawlor, Debbie A %A Dudbridge, Frank %A Samani, Nilesh J %A Keating, Brendan J %A Hingorani, Aroon D %A Casas, Juan P %K Case-Control Studies %K Cholesterol, HDL %K Coronary Artery Disease %K Female %K Gene Frequency %K Genotype %K Genotyping Techniques %K Humans %K Male %K Mendelian Randomization Analysis %K Middle Aged %K Polymorphism, Single Nucleotide %K Risk Assessment %K Triglycerides %X

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

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

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

%B Eur Heart J %V 36 %P 539-50 %8 2015 Mar 01 %G eng %N 9 %1 http://www.ncbi.nlm.nih.gov/pubmed/24474739?dopt=Abstract %R 10.1093/eurheartj/eht571 %0 Journal Article %J J Am Coll Cardiol %D 2016 %T 52 Genetic Loci Influencing Myocardial Mass. %A van der Harst, Pim %A van Setten, Jessica %A Verweij, Niek %A Vogler, Georg %A Franke, Lude %A Maurano, Matthew T %A Wang, Xinchen %A Mateo Leach, Irene %A Eijgelsheim, Mark %A Sotoodehnia, Nona %A Hayward, Caroline %A Sorice, Rossella %A Meirelles, Osorio %A Lyytikäinen, Leo-Pekka %A Polasek, Ozren %A Tanaka, Toshiko %A Arking, Dan E %A Ulivi, Sheila %A Trompet, Stella %A Müller-Nurasyid, Martina %A Smith, Albert V %A Dörr, Marcus %A Kerr, Kathleen F %A Magnani, Jared W %A del Greco M, Fabiola %A Zhang, Weihua %A Nolte, Ilja M %A Silva, Claudia T %A Padmanabhan, Sandosh %A Tragante, Vinicius %A Esko, Tõnu %A Abecasis, Goncalo R %A Adriaens, Michiel E %A Andersen, Karl %A Barnett, Phil %A Bis, Joshua C %A Bodmer, Rolf %A Buckley, Brendan M %A Campbell, Harry %A Cannon, Megan V %A Chakravarti, Aravinda %A Chen, Lin Y %A Delitala, Alessandro %A Devereux, Richard B %A Doevendans, Pieter A %A Dominiczak, Anna F %A Ferrucci, Luigi %A Ford, Ian %A Gieger, Christian %A Harris, Tamara B %A Haugen, Eric %A Heinig, Matthias %A Hernandez, Dena G %A Hillege, Hans L %A Hirschhorn, Joel N %A Hofman, Albert %A Hubner, Norbert %A Hwang, Shih-Jen %A Iorio, Annamaria %A Kähönen, Mika %A Kellis, Manolis %A Kolcic, Ivana %A Kooner, Ishminder K %A Kooner, Jaspal S %A Kors, Jan A %A Lakatta, Edward G %A Lage, Kasper %A Launer, Lenore J %A Levy, Daniel %A Lundby, Alicia %A Macfarlane, Peter W %A May, Dalit %A Meitinger, Thomas %A Metspalu, Andres %A Nappo, Stefania %A Naitza, Silvia %A Neph, Shane %A Nord, Alex S %A Nutile, Teresa %A Okin, Peter M %A Olsen, Jesper V %A Oostra, Ben A %A Penninger, Josef M %A Pennacchio, Len A %A Pers, Tune H %A Perz, Siegfried %A Peters, Annette %A Pinto, Yigal M %A Pfeufer, Arne %A Pilia, Maria Grazia %A Pramstaller, Peter P %A Prins, Bram P %A Raitakari, Olli T %A Raychaudhuri, Soumya %A Rice, Ken M %A Rossin, Elizabeth J %A Rotter, Jerome I %A Schafer, Sebastian %A Schlessinger, David %A Schmidt, Carsten O %A Sehmi, Jobanpreet %A Silljé, Herman H W %A Sinagra, Gianfranco %A Sinner, Moritz F %A Slowikowski, Kamil %A Soliman, Elsayed Z %A Spector, Timothy D %A Spiering, Wilko %A Stamatoyannopoulos, John A %A Stolk, Ronald P %A Strauch, Konstantin %A Tan, Sian-Tsung %A Tarasov, Kirill V %A Trinh, Bosco %A Uitterlinden, André G %A van den Boogaard, Malou %A van Duijn, Cornelia M %A van Gilst, Wiek H %A Viikari, Jorma S %A Visscher, Peter M %A Vitart, Veronique %A Völker, Uwe %A Waldenberger, Melanie %A Weichenberger, Christian X %A Westra, Harm-Jan %A Wijmenga, Cisca %A Wolffenbuttel, Bruce H %A Yang, Jian %A Bezzina, Connie R %A Munroe, Patricia B %A Snieder, Harold %A Wright, Alan F %A Rudan, Igor %A Boyer, Laurie A %A Asselbergs, Folkert W %A van Veldhuisen, Dirk J %A Stricker, Bruno H %A Psaty, Bruce M %A Ciullo, Marina %A Sanna, Serena %A Lehtimäki, Terho %A Wilson, James F %A Bandinelli, Stefania %A Alonso, Alvaro %A Gasparini, Paolo %A Jukema, J Wouter %A Kääb, Stefan %A Gudnason, Vilmundur %A Felix, Stephan B %A Heckbert, Susan R %A de Boer, Rudolf A %A Newton-Cheh, Christopher %A Hicks, Andrew A %A Chambers, John C %A Jamshidi, Yalda %A Visel, Axel %A Christoffels, Vincent M %A Isaacs, Aaron %A Samani, Nilesh J %A de Bakker, Paul I W %X

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

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

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

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

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

%B J Am Coll Cardiol %V 68 %P 1435-48 %8 2016 Sep 27 %G eng %N 13 %R 10.1016/j.jacc.2016.07.729 %0 Journal Article %J Hum Mol Genet %D 2016 %T Twenty-eight genetic loci associated with ST-T-wave amplitudes of the electrocardiogram. %A Verweij, Niek %A Mateo Leach, Irene %A Isaacs, Aaron %A Arking, Dan E %A Bis, Joshua C %A Pers, Tune H %A van den Berg, Marten E %A Lyytikäinen, Leo-Pekka %A Barnett, Phil %A Wang, Xinchen %A Soliman, Elsayed Z %A van Duijn, Cornelia M %A Kähönen, Mika %A van Veldhuisen, Dirk J %A Kors, Jan A %A Raitakari, Olli T %A Silva, Claudia T %A Lehtimäki, Terho %A Hillege, Hans L %A Hirschhorn, Joel N %A Boyer, Laurie A %A van Gilst, Wiek H %A Alonso, Alvaro %A Sotoodehnia, Nona %A Eijgelsheim, Mark %A de Boer, Rudolf A %A de Bakker, Paul I W %A Franke, Lude %A van der Harst, Pim %K Adaptor Proteins, Signal Transducing %K Arrhythmias, Cardiac %K Basic Helix-Loop-Helix Transcription Factors %K Brugada Syndrome %K Cardiac Conduction System Disease %K Death, Sudden, Cardiac %K Electrocardiography %K Female %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Heart Conduction System %K Humans %K Male %K NAV1.5 Voltage-Gated Sodium Channel %K Polymorphism, Single Nucleotide %K Repressor Proteins %K Shab Potassium Channels %K Shal Potassium Channels %X

The ST-segment and adjacent T-wave (ST-T wave) amplitudes of the electrocardiogram are quantitative characteristics of cardiac repolarization. Repolarization abnormalities have been linked to ventricular arrhythmias and sudden cardiac death. We performed the first genome-wide association meta-analysis of ST-T-wave amplitudes in up to 37 977 individuals identifying 71 robust genotype-phenotype associations clustered within 28 independent loci. Fifty-four genes were prioritized as candidates underlying the phenotypes, including genes with established roles in the cardiac repolarization phase (SCN5A/SCN10A, KCND3, KCNB1, NOS1AP and HEY2) and others with as yet undefined cardiac function. These associations may provide insights in the spatiotemporal contribution of genetic variation influencing cardiac repolarization and provide novel leads for future functional follow-up.

%B Hum Mol Genet %V 25 %P 2093-2103 %8 2016 05 15 %G eng %N 10 %R 10.1093/hmg/ddw058 %0 Journal Article %J Nat Commun %D 2017 %T Genetic loci associated with heart rate variability and their effects on cardiac disease risk. %A Nolte, Ilja M %A Munoz, M Loretto %A Tragante, Vinicius %A Amare, Azmeraw T %A Jansen, Rick %A Vaez, Ahmad %A von der Heyde, Benedikt %A Avery, Christy L %A Bis, Joshua C %A Dierckx, Bram %A van Dongen, Jenny %A Gogarten, Stephanie M %A Goyette, Philippe %A Hernesniemi, Jussi %A Huikari, Ville %A Hwang, Shih-Jen %A Jaju, Deepali %A Kerr, Kathleen F %A Kluttig, Alexander %A Krijthe, Bouwe P %A Kumar, Jitender %A van der Laan, Sander W %A Lyytikäinen, Leo-Pekka %A Maihofer, Adam X %A Minassian, Arpi %A van der Most, Peter J %A Müller-Nurasyid, Martina %A Nivard, Michel %A Salvi, Erika %A Stewart, James D %A Thayer, Julian F %A Verweij, Niek %A Wong, Andrew %A Zabaneh, Delilah %A Zafarmand, Mohammad H %A Abdellaoui, Abdel %A Albarwani, Sulayma %A Albert, Christine %A Alonso, Alvaro %A Ashar, Foram %A Auvinen, Juha %A Axelsson, Tomas %A Baker, Dewleen G %A de Bakker, Paul I W %A Barcella, Matteo %A Bayoumi, Riad %A Bieringa, Rob J %A Boomsma, Dorret %A Boucher, Gabrielle %A Britton, Annie R %A Christophersen, Ingrid %A Dietrich, Andrea %A Ehret, George B %A Ellinor, Patrick T %A Eskola, Markku %A Felix, Janine F %A Floras, John S %A Franco, Oscar H %A Friberg, Peter %A Gademan, Maaike G J %A Geyer, Mark A %A Giedraitis, Vilmantas %A Hartman, Catharina A %A Hemerich, Daiane %A Hofman, Albert %A Hottenga, Jouke-Jan %A Huikuri, Heikki %A Hutri-Kähönen, Nina %A Jouven, Xavier %A Junttila, Juhani %A Juonala, Markus %A Kiviniemi, Antti M %A Kors, Jan A %A Kumari, Meena %A Kuznetsova, Tatiana %A Laurie, Cathy C %A Lefrandt, Joop D %A Li, Yong %A Li, Yun %A Liao, Duanping %A Limacher, Marian C %A Lin, Henry J %A Lindgren, Cecilia M %A Lubitz, Steven A %A Mahajan, Anubha %A McKnight, Barbara %A Zu Schwabedissen, Henriette Meyer %A Milaneschi, Yuri %A Mononen, Nina %A Morris, Andrew P %A Nalls, Mike A %A Navis, Gerjan %A Neijts, Melanie %A Nikus, Kjell %A North, Kari E %A O'Connor, Daniel T %A Ormel, Johan %A Perz, Siegfried %A Peters, Annette %A Psaty, Bruce M %A Raitakari, Olli T %A Risbrough, Victoria B %A Sinner, Moritz F %A Siscovick, David %A Smit, Johannes H %A Smith, Nicholas L %A Soliman, Elsayed Z %A Sotoodehnia, Nona %A Staessen, Jan A %A Stein, Phyllis K %A Stilp, Adrienne M %A Stolarz-Skrzypek, Katarzyna %A Strauch, Konstantin %A Sundström, Johan %A Swenne, Cees A %A Syvänen, Ann-Christine %A Tardif, Jean-Claude %A Taylor, Kent D %A Teumer, Alexander %A Thornton, Timothy A %A Tinker, Lesley E %A Uitterlinden, André G %A van Setten, Jessica %A Voss, Andreas %A Waldenberger, Melanie %A Wilhelmsen, Kirk C %A Willemsen, Gonneke %A Wong, Quenna %A Zhang, Zhu-Ming %A Zonderman, Alan B %A Cusi, Daniele %A Evans, Michele K %A Greiser, Halina K %A van der Harst, Pim %A Hassan, Mohammad %A Ingelsson, Erik %A Jarvelin, Marjo-Riitta %A Kääb, Stefan %A Kähönen, Mika %A Kivimaki, Mika %A Kooperberg, Charles %A Kuh, Diana %A Lehtimäki, Terho %A Lind, Lars %A Nievergelt, Caroline M %A O'Donnell, Chris J %A Oldehinkel, Albertine J %A Penninx, Brenda %A Reiner, Alexander P %A Riese, Harriëtte %A van Roon, Arie M %A Rioux, John D %A Rotter, Jerome I %A Sofer, Tamar %A Stricker, Bruno H %A Tiemeier, Henning %A Vrijkotte, Tanja G M %A Asselbergs, Folkert W %A Brundel, Bianca J J M %A Heckbert, Susan R %A Whitsel, Eric A %A den Hoed, Marcel %A Snieder, Harold %A de Geus, Eco J C %X

Reduced cardiac vagal control reflected in low heart rate variability (HRV) is associated with greater risks for cardiac morbidity and mortality. In two-stage meta-analyses of genome-wide association studies for three HRV traits in up to 53,174 individuals of European ancestry, we detect 17 genome-wide significant SNPs in eight loci. HRV SNPs tag non-synonymous SNPs (in NDUFA11 and KIAA1755), expression quantitative trait loci (eQTLs) (influencing GNG11, RGS6 and NEO1), or are located in genes preferentially expressed in the sinoatrial node (GNG11, RGS6 and HCN4). Genetic risk scores account for 0.9 to 2.6% of the HRV variance. Significant genetic correlation is found for HRV with heart rate (-0.74 %B Nat Commun %V 8 %P 15805 %8 2017 Jun 14 %G eng %R 10.1038/ncomms15805 %0 Journal Article %J Eur Heart J %D 2018 %T A comprehensive evaluation of the genetic architecture of sudden cardiac arrest. %A Ashar, Foram N %A Mitchell, Rebecca N %A Albert, Christine M %A Newton-Cheh, Christopher %A Brody, Jennifer A %A Müller-Nurasyid, Martina %A Moes, Anna %A Meitinger, Thomas %A Mak, Angel %A Huikuri, Heikki %A Junttila, M Juhani %A Goyette, Philippe %A Pulit, Sara L %A Pazoki, Raha %A Tanck, Michael W %A Blom, Marieke T %A Zhao, XiaoQing %A Havulinna, Aki S %A Jabbari, Reza %A Glinge, Charlotte %A Tragante, Vinicius %A Escher, Stefan A %A Chakravarti, Aravinda %A Ehret, Georg %A Coresh, Josef %A Li, Man %A Prineas, Ronald J %A Franco, Oscar H %A Kwok, Pui-Yan %A Lumley, Thomas %A Dumas, Florence %A McKnight, Barbara %A Rotter, Jerome I %A Lemaitre, Rozenn N %A Heckbert, Susan R %A O'Donnell, Christopher J %A Hwang, Shih-Jen %A Tardif, Jean-Claude %A VanDenburgh, Martin %A Uitterlinden, André G %A Hofman, Albert %A Stricker, Bruno H C %A de Bakker, Paul I W %A Franks, Paul W %A Jansson, Jan-Håkan %A Asselbergs, Folkert W %A Halushka, Marc K %A Maleszewski, Joseph J %A Tfelt-Hansen, Jacob %A Engstrøm, Thomas %A Salomaa, Veikko %A Virmani, Renu %A Kolodgie, Frank %A Wilde, Arthur A M %A Tan, Hanno L %A Bezzina, Connie R %A Eijgelsheim, Mark %A Rioux, John D %A Jouven, Xavier %A Kääb, Stefan %A Psaty, Bruce M %A Siscovick, David S %A Arking, Dan E %A Sotoodehnia, Nona %X

Aims: Sudden cardiac arrest (SCA) accounts for 10% of adult mortality in Western populations. We aim to identify potential loci associated with SCA and to identify risk factors causally associated with SCA.

Methods and results: We carried out a large genome-wide association study (GWAS) for SCA (n = 3939 cases, 25 989 non-cases) to examine common variation genome-wide and in candidate arrhythmia genes. We also exploited Mendelian randomization (MR) methods using cross-trait multi-variant genetic risk score associations (GRSA) to assess causal relationships of 18 risk factors with SCA. No variants were associated with SCA at genome-wide significance, nor were common variants in candidate arrhythmia genes associated with SCA at nominal significance. Using cross-trait GRSA, we established genetic correlation between SCA and (i) coronary artery disease (CAD) and traditional CAD risk factors (blood pressure, lipids, and diabetes), (ii) height and BMI, and (iii) electrical instability traits (QT and atrial fibrillation), suggesting aetiologic roles for these traits in SCA risk.

Conclusions: Our findings show that a comprehensive approach to the genetic architecture of SCA can shed light on the determinants of a complex life-threatening condition with multiple influencing factors in the general population. The results of this genetic analysis, both positive and negative findings, have implications for evaluating the genetic architecture of patients with a family history of SCA, and for efforts to prevent SCA in high-risk populations and the general community.

%B Eur Heart J %8 2018 Aug 28 %G eng %R 10.1093/eurheartj/ehy474 %0 Journal Article %J Nat Genet %D 2018 %T Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. %A Malik, Rainer %A Chauhan, Ganesh %A Traylor, Matthew %A Sargurupremraj, Muralidharan %A Okada, Yukinori %A Mishra, Aniket %A Rutten-Jacobs, Loes %A Giese, Anne-Katrin %A van der Laan, Sander W %A Gretarsdottir, Solveig %A Anderson, Christopher D %A Chong, Michael %A Adams, Hieab H H %A Ago, Tetsuro %A Almgren, Peter %A Amouyel, Philippe %A Ay, Hakan %A Bartz, Traci M %A Benavente, Oscar R %A Bevan, Steve %A Boncoraglio, Giorgio B %A Brown, Robert D %A Butterworth, Adam S %A Carrera, Caty %A Carty, Cara L %A Chasman, Daniel I %A Chen, Wei-Min %A Cole, John W %A Correa, Adolfo %A Cotlarciuc, Ioana %A Cruchaga, Carlos %A Danesh, John %A de Bakker, Paul I W %A DeStefano, Anita L %A den Hoed, Marcel %A Duan, Qing %A Engelter, Stefan T %A Falcone, Guido J %A Gottesman, Rebecca F %A Grewal, Raji P %A Gudnason, Vilmundur %A Gustafsson, Stefan %A Haessler, Jeffrey %A Harris, Tamara B %A Hassan, Ahamad %A Havulinna, Aki S %A Heckbert, Susan R %A Holliday, Elizabeth G %A Howard, George %A Hsu, Fang-Chi %A Hyacinth, Hyacinth I %A Ikram, M Arfan %A Ingelsson, Erik %A Irvin, Marguerite R %A Jian, Xueqiu %A Jimenez-Conde, Jordi %A Johnson, Julie A %A Jukema, J Wouter %A Kanai, Masahiro %A Keene, Keith L %A Kissela, Brett M %A Kleindorfer, Dawn O %A Kooperberg, Charles %A Kubo, Michiaki %A Lange, Leslie A %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lee, Jin-Moo %A Lemmens, Robin %A Leys, Didier %A Lewis, Cathryn M %A Lin, Wei-Yu %A Lindgren, Arne G %A Lorentzen, Erik %A Magnusson, Patrik K %A Maguire, Jane %A Manichaikul, Ani %A McArdle, Patrick F %A Meschia, James F %A Mitchell, Braxton D %A Mosley, Thomas H %A Nalls, Michael A %A Ninomiya, Toshiharu %A O'Donnell, Martin J %A Psaty, Bruce M %A Pulit, Sara L %A Rannikmae, Kristiina %A Reiner, Alexander P %A Rexrode, Kathryn M %A Rice, Kenneth %A Rich, Stephen S %A Ridker, Paul M %A Rost, Natalia S %A Rothwell, Peter M %A Rotter, Jerome I %A Rundek, Tatjana %A Sacco, Ralph L %A Sakaue, Saori %A Sale, Michèle M %A Salomaa, Veikko %A Sapkota, Bishwa R %A Schmidt, Reinhold %A Schmidt, Carsten O %A Schminke, Ulf %A Sharma, Pankaj %A Slowik, Agnieszka %A Sudlow, Cathie L M %A Tanislav, Christian %A Tatlisumak, Turgut %A Taylor, Kent D %A Thijs, Vincent N S %A Thorleifsson, Gudmar %A Thorsteinsdottir, Unnur %A Tiedt, Steffen %A Trompet, Stella %A Tzourio, Christophe %A van Duijn, Cornelia M %A Walters, Matthew %A Wareham, Nicholas J %A Wassertheil-Smoller, Sylvia %A Wilson, James G %A Wiggins, Kerri L %A Yang, Qiong %A Yusuf, Salim %A Bis, Joshua C %A Pastinen, Tomi %A Ruusalepp, Arno %A Schadt, Eric E %A Koplev, Simon %A Björkegren, Johan L M %A Codoni, Veronica %A Civelek, Mete %A Smith, Nicholas L %A Trégouët, David A %A Christophersen, Ingrid E %A Roselli, Carolina %A Lubitz, Steven A %A Ellinor, Patrick T %A Tai, E Shyong %A Kooner, Jaspal S %A Kato, Norihiro %A He, Jiang %A van der Harst, Pim %A Elliott, Paul %A Chambers, John C %A Takeuchi, Fumihiko %A Johnson, Andrew D %A Sanghera, Dharambir K %A Melander, Olle %A Jern, Christina %A Strbian, Daniel %A Fernandez-Cadenas, Israel %A Longstreth, W T %A Rolfs, Arndt %A Hata, Jun %A Woo, Daniel %A Rosand, Jonathan %A Paré, Guillaume %A Hopewell, Jemma C %A Saleheen, Danish %A Stefansson, Kari %A Worrall, Bradford B %A Kittner, Steven J %A Seshadri, Sudha %A Fornage, Myriam %A Markus, Hugh S %A Howson, Joanna M M %A Kamatani, Yoichiro %A Debette, Stephanie %A Dichgans, Martin %A Malik, Rainer %A Chauhan, Ganesh %A Traylor, Matthew %A Sargurupremraj, Muralidharan %A Okada, Yukinori %A Mishra, Aniket %A Rutten-Jacobs, Loes %A Giese, Anne-Katrin %A van der Laan, Sander W %A Gretarsdottir, Solveig %A Anderson, Christopher D %A Chong, Michael %A Adams, Hieab H H %A Ago, Tetsuro %A Almgren, Peter %A Amouyel, Philippe %A Ay, Hakan %A Bartz, Traci M %A Benavente, Oscar R %A Bevan, Steve %A Boncoraglio, Giorgio B %A Brown, Robert D %A Butterworth, Adam S %A Carrera, Caty %A Carty, Cara L %A Chasman, Daniel I %A Chen, Wei-Min %A Cole, John W %A Correa, Adolfo %A Cotlarciuc, Ioana %A Cruchaga, Carlos %A Danesh, John %A de Bakker, Paul I W %A DeStefano, Anita L %A Hoed, Marcel den %A Duan, Qing %A Engelter, Stefan T %A Falcone, Guido J %A Gottesman, Rebecca F %A Grewal, Raji P %A Gudnason, Vilmundur %A Gustafsson, Stefan %A Haessler, Jeffrey %A Harris, Tamara B %A Hassan, Ahamad %A Havulinna, Aki S %A Heckbert, Susan R %A Holliday, Elizabeth G %A Howard, George %A Hsu, Fang-Chi %A Hyacinth, Hyacinth I %A Ikram, M Arfan %A Ingelsson, Erik %A Irvin, Marguerite R %A Jian, Xueqiu %A Jimenez-Conde, Jordi %A Johnson, Julie A %A Jukema, J Wouter %A Kanai, Masahiro %A Keene, Keith L %A Kissela, Brett M %A Kleindorfer, Dawn O %A Kooperberg, Charles %A Kubo, Michiaki %A Lange, Leslie A %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lee, Jin-Moo %A Lemmens, Robin %A Leys, Didier %A Lewis, Cathryn M %A Lin, Wei-Yu %A Lindgren, Arne G %A Lorentzen, Erik %A Magnusson, Patrik K %A Maguire, Jane %A Manichaikul, Ani %A McArdle, Patrick F %A Meschia, James F %A Mitchell, Braxton D %A Mosley, Thomas H %A Nalls, Michael A %A Ninomiya, Toshiharu %A O'Donnell, Martin J %A Psaty, Bruce M %A Pulit, Sara L %A Rannikmae, Kristiina %A Reiner, Alexander P %A Rexrode, Kathryn M %A Rice, Kenneth %A Rich, Stephen S %A Ridker, Paul M %A Rost, Natalia S %A Rothwell, Peter M %A Rotter, Jerome I %A Rundek, Tatjana %A Sacco, Ralph L %A Sakaue, Saori %A Sale, Michèle M %A Salomaa, Veikko %A Sapkota, Bishwa R %A Schmidt, Reinhold %A Schmidt, Carsten O %A Schminke, Ulf %A Sharma, Pankaj %A Slowik, Agnieszka %A Sudlow, Cathie L M %A Tanislav, Christian %A Tatlisumak, Turgut %A Taylor, Kent D %A Thijs, Vincent N S %A Thorleifsson, Gudmar %A Thorsteinsdottir, Unnur %A Tiedt, Steffen %A Trompet, Stella %A Tzourio, Christophe %A van Duijn, Cornelia M %A Walters, Matthew %A Wareham, Nicholas J %A Wassertheil-Smoller, Sylvia %A Wilson, James G %A Wiggins, Kerri L %A Yang, Qiong %A Yusuf, Salim %A Amin, Najaf %A Aparicio, Hugo S %A Arnett, Donna K %A Attia, John %A Beiser, Alexa S %A Berr, Claudine %A Buring, Julie E %A Bustamante, Mariana %A Caso, Valeria %A Cheng, Yu-Ching %A Choi, Seung Hoan %A Chowhan, Ayesha %A Cullell, Natalia %A Dartigues, Jean-François %A Delavaran, Hossein %A Delgado, Pilar %A Dörr, Marcus %A Engström, Gunnar %A Ford, Ian %A Gurpreet, Wander S %A Hamsten, Anders %A Heitsch, Laura %A Hozawa, Atsushi %A Ibanez, Laura %A Ilinca, Andreea %A Ingelsson, Martin %A Iwasaki, Motoki %A Jackson, Rebecca D %A Jood, Katarina %A Jousilahti, Pekka %A Kaffashian, Sara %A Kalra, Lalit %A Kamouchi, Masahiro %A Kitazono, Takanari %A Kjartansson, Olafur %A Kloss, Manja %A Koudstaal, Peter J %A Krupinski, Jerzy %A Labovitz, Daniel L %A Laurie, Cathy C %A Levi, Christopher R %A Li, Linxin %A Lind, Lars %A Lindgren, Cecilia M %A Lioutas, Vasileios %A Liu, Yong Mei %A Lopez, Oscar L %A Makoto, Hirata %A Martinez-Majander, Nicolas %A Matsuda, Koichi %A Minegishi, Naoko %A Montaner, Joan %A Morris, Andrew P %A Muiño, Elena %A Müller-Nurasyid, Martina %A Norrving, Bo %A Ogishima, Soichi %A Parati, Eugenio A %A Peddareddygari, Leema Reddy %A Pedersen, Nancy L %A Pera, Joanna %A Perola, Markus %A Pezzini, Alessandro %A Pileggi, Silvana %A Rabionet, Raquel %A Riba-Llena, Iolanda %A Ribasés, Marta %A Romero, Jose R %A Roquer, Jaume %A Rudd, Anthony G %A Sarin, Antti-Pekka %A Sarju, Ralhan %A Sarnowski, Chloe %A Sasaki, Makoto %A Satizabal, Claudia L %A Satoh, Mamoru %A Sattar, Naveed %A Sawada, Norie %A Sibolt, Gerli %A Sigurdsson, Ásgeir %A Smith, Albert %A Sobue, Kenji %A Soriano-Tárraga, Carolina %A Stanne, Tara %A Stine, O Colin %A Stott, David J %A Strauch, Konstantin %A Takai, Takako %A Tanaka, Hideo %A Tanno, Kozo %A Teumer, Alexander %A Tomppo, Liisa %A Torres-Aguila, Nuria P %A Touze, Emmanuel %A Tsugane, Shoichiro %A Uitterlinden, André G %A Valdimarsson, Einar M %A van der Lee, Sven J %A Völzke, Henry %A Wakai, Kenji %A Weir, David %A Williams, Stephen R %A Wolfe, Charles D A %A Wong, Quenna %A Xu, Huichun %A Yamaji, Taiki %A Sanghera, Dharambir K %A Melander, Olle %A Jern, Christina %A Strbian, Daniel %A Fernandez-Cadenas, Israel %A Longstreth, W T %A Rolfs, Arndt %A Hata, Jun %A Woo, Daniel %A Rosand, Jonathan %A Paré, Guillaume %A Hopewell, Jemma C %A Saleheen, Danish %A Stefansson, Kari %A Worrall, Bradford B %A Kittner, Steven J %A Seshadri, Sudha %A Fornage, Myriam %A Markus, Hugh S %A Howson, Joanna M M %A Kamatani, Yoichiro %A Debette, Stephanie %A Dichgans, Martin %X

Stroke has multiple etiologies, but the underlying genes and pathways are largely unknown. We conducted a multiancestry genome-wide-association meta-analysis in 521,612 individuals (67,162 cases and 454,450 controls) and discovered 22 new stroke risk loci, bringing the total to 32. We further found shared genetic variation with related vascular traits, including blood pressure, cardiac traits, and venous thromboembolism, at individual loci (n = 18), and using genetic risk scores and linkage-disequilibrium-score regression. Several loci exhibited distinct association and pleiotropy patterns for etiological stroke subtypes. Eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets. Stroke risk loci were significantly enriched in drug targets for antithrombotic therapy.

%B Nat Genet %V 50 %P 524-537 %8 2018 Apr %G eng %N 4 %R 10.1038/s41588-018-0058-3 %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