%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 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 Nat Genet %D 2010 %T Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function. %A Hancock, Dana B %A Eijgelsheim, Mark %A Wilk, Jemma B %A Gharib, Sina A %A Loehr, Laura R %A Marciante, Kristin D %A Franceschini, Nora %A van Durme, Yannick M T A %A Chen, Ting-Hsu %A Barr, R Graham %A Schabath, Matthew B %A Couper, David J %A Brusselle, Guy G %A Psaty, Bruce M %A van Duijn, Cornelia M %A Rotter, Jerome I %A Uitterlinden, André G %A Hofman, Albert %A Punjabi, Naresh M %A Rivadeneira, Fernando %A Morrison, Alanna C %A Enright, Paul L %A North, Kari E %A Heckbert, Susan R %A Lumley, Thomas %A Stricker, Bruno H C %A O'Connor, George T %A London, Stephanie J %K Databases, Genetic %K Female %K Forced Expiratory Volume %K Genetic Predisposition to Disease %K Genome, Human %K Genome-Wide Association Study %K Humans %K Lung %K Lung Diseases %K Male %K Meta-Analysis as Topic %K Polymorphism, Single Nucleotide %K Spirometry %K Vital Capacity %X

Spirometric measures of lung function are heritable traits that reflect respiratory health and predict morbidity and mortality. We meta-analyzed genome-wide association studies for two clinically important lung-function measures: forced expiratory volume in the first second (FEV(1)) and its ratio to forced vital capacity (FEV(1)/FVC), an indicator of airflow obstruction. This meta-analysis included 20,890 participants of European ancestry from four CHARGE Consortium studies: Atherosclerosis Risk in Communities, Cardiovascular Health Study, Framingham Heart Study and Rotterdam Study. We identified eight loci associated with FEV(1)/FVC (HHIP, GPR126, ADAM19, AGER-PPT2, FAM13A, PTCH1, PID1 and HTR4) and one locus associated with FEV(1) (INTS12-GSTCD-NPNT) at or near genome-wide significance (P < 5 x 10(-8)) in the CHARGE Consortium dataset. Our findings may offer insights into pulmonary function and pathogenesis of chronic lung disease.

%B Nat Genet %V 42 %P 45-52 %8 2010 Jan %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/20010835?dopt=Abstract %R 10.1038/ng.500 %0 Journal Article %J Nat Genet %D 2011 %T Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function. %A Soler Artigas, Maria %A Loth, Daan W %A Wain, Louise V %A Gharib, Sina A %A Obeidat, Ma'en %A Tang, Wenbo %A Zhai, Guangju %A Zhao, Jing Hua %A Smith, Albert Vernon %A Huffman, Jennifer E %A Albrecht, Eva %A Jackson, Catherine M %A Evans, David M %A Cadby, Gemma %A Fornage, Myriam %A Manichaikul, Ani %A Lopez, Lorna M %A Johnson, Toby %A Aldrich, Melinda C %A Aspelund, Thor %A Barroso, Inês %A Campbell, Harry %A Cassano, Patricia A %A Couper, David J %A Eiriksdottir, Gudny %A Franceschini, Nora %A Garcia, Melissa %A Gieger, Christian %A Gislason, Gauti Kjartan %A Grkovic, Ivica %A Hammond, Christopher J %A Hancock, Dana B %A Harris, Tamara B %A Ramasamy, Adaikalavan %A Heckbert, Susan R %A Heliövaara, Markku %A Homuth, Georg %A Hysi, Pirro G %A James, Alan L %A Jankovic, Stipan %A Joubert, Bonnie R %A Karrasch, Stefan %A Klopp, Norman %A Koch, Beate %A Kritchevsky, Stephen B %A Launer, Lenore J %A Liu, Yongmei %A Loehr, Laura R %A Lohman, Kurt %A Loos, Ruth J F %A Lumley, Thomas %A Al Balushi, Khalid A %A Ang, Wei Q %A Barr, R Graham %A Beilby, John %A Blakey, John D %A Boban, Mladen %A Boraska, Vesna %A Brisman, Jonas %A Britton, John R %A Brusselle, Guy G %A Cooper, Cyrus %A Curjuric, Ivan %A Dahgam, Santosh %A Deary, Ian J %A Ebrahim, Shah %A Eijgelsheim, Mark %A Francks, Clyde %A Gaysina, Darya %A Granell, Raquel %A Gu, Xiangjun %A Hankinson, John L %A Hardy, Rebecca %A Harris, Sarah E %A Henderson, John %A Henry, Amanda %A Hingorani, Aroon D %A Hofman, Albert %A Holt, Patrick G %A Hui, Jennie %A Hunter, Michael L %A Imboden, Medea %A Jameson, Karen A %A Kerr, Shona M %A Kolcic, Ivana %A Kronenberg, Florian %A Liu, Jason Z %A Marchini, Jonathan %A McKeever, Tricia %A Morris, Andrew D %A Olin, Anna-Carin %A Porteous, David J %A Postma, Dirkje S %A Rich, Stephen S %A Ring, Susan M %A Rivadeneira, Fernando %A Rochat, Thierry %A Sayer, Avan Aihie %A Sayers, Ian %A Sly, Peter D %A Smith, George Davey %A Sood, Akshay %A Starr, John M %A Uitterlinden, André G %A Vonk, Judith M %A Wannamethee, S Goya %A Whincup, Peter H %A Wijmenga, Cisca %A Williams, O Dale %A Wong, Andrew %A Mangino, Massimo %A Marciante, Kristin D %A McArdle, Wendy L %A Meibohm, Bernd %A Morrison, Alanna C %A North, Kari E %A Omenaas, Ernst %A Palmer, Lyle J %A Pietiläinen, Kirsi H %A Pin, Isabelle %A Pola Sbreve Ek, Ozren %A Pouta, Anneli %A Psaty, Bruce M %A Hartikainen, Anna-Liisa %A Rantanen, Taina %A Ripatti, Samuli %A Rotter, Jerome I %A Rudan, Igor %A Rudnicka, Alicja R %A Schulz, Holger %A Shin, So-Youn %A Spector, Tim D %A Surakka, Ida %A Vitart, Veronique %A Völzke, Henry %A Wareham, Nicholas J %A Warrington, Nicole M %A Wichmann, H-Erich %A Wild, Sarah H %A Wilk, Jemma B %A Wjst, Matthias %A Wright, Alan F %A Zgaga, Lina %A Zemunik, Tatijana %A Pennell, Craig E %A Nyberg, Fredrik %A Kuh, Diana %A Holloway, John W %A Boezen, H Marike %A Lawlor, Debbie A %A Morris, Richard W %A Probst-Hensch, Nicole %A Kaprio, Jaakko %A Wilson, James F %A Hayward, Caroline %A Kähönen, Mika %A Heinrich, Joachim %A Musk, Arthur W %A Jarvis, Deborah L %A Gläser, Sven %A Jarvelin, Marjo-Riitta %A Ch Stricker, Bruno H %A Elliott, Paul %A O'Connor, George T %A Strachan, David P %A London, Stephanie J %A Hall, Ian P %A Gudnason, Vilmundur %A Tobin, Martin D %K Child %K European Continental Ancestry Group %K Genome-Wide Association Study %K Humans %K Pulmonary Disease, Chronic Obstructive %K Respiratory Function Tests %X

Pulmonary function measures reflect respiratory health and are used in the diagnosis of chronic obstructive pulmonary disease. We tested genome-wide association with forced expiratory volume in 1 second and the ratio of forced expiratory volume in 1 second to forced vital capacity in 48,201 individuals of European ancestry with follow up of the top associations in up to an additional 46,411 individuals. We identified new regions showing association (combined P < 5 × 10(-8)) with pulmonary function in or near MFAP2, TGFB2, HDAC4, RARB, MECOM (also known as EVI1), SPATA9, ARMC2, NCR3, ZKSCAN3, CDC123, C10orf11, LRP1, CCDC38, MMP15, CFDP1 and KCNE2. Identification of these 16 new loci may provide insight into the molecular mechanisms regulating pulmonary function and into molecular targets for future therapy to alleviate reduced lung function.

%B Nat Genet %V 43 %P 1082-90 %8 2011 Sep 25 %G eng %N 11 %1 http://www.ncbi.nlm.nih.gov/pubmed/21946350?dopt=Abstract %R 10.1038/ng.941 %0 Journal Article %J PLoS Genet %D 2011 %T Identification of a sudden cardiac death susceptibility locus at 2q24.2 through genome-wide association in European ancestry individuals. %A Arking, Dan E %A Junttila, M Juhani %A Goyette, Philippe %A Huertas-Vazquez, Adriana %A Eijgelsheim, Mark %A Blom, Marieke T %A Newton-Cheh, Christopher %A Reinier, Kyndaron %A Teodorescu, Carmen %A Uy-Evanado, Audrey %A Carter-Monroe, Naima %A Kaikkonen, Kari S %A Kortelainen, Marja-Leena %A Boucher, Gabrielle %A Lagacé, Caroline %A Moes, Anna %A Zhao, XiaoQing %A Kolodgie, Frank %A Rivadeneira, Fernando %A Hofman, Albert %A Witteman, Jacqueline C M %A Uitterlinden, André G %A Marsman, Roos F %A Pazoki, Raha %A Bardai, Abdennasser %A Koster, Rudolph W %A Dehghan, Abbas %A Hwang, Shih-Jen %A Bhatnagar, Pallav %A Post, Wendy %A Hilton, Gina %A Prineas, Ronald J %A Li, Man %A Köttgen, Anna %A Ehret, Georg %A Boerwinkle, Eric %A Coresh, Josef %A Kao, W H Linda %A Psaty, Bruce M %A Tomaselli, Gordon F %A Sotoodehnia, Nona %A Siscovick, David S %A Burke, Greg L %A Marbán, Eduardo %A Spooner, Peter M %A Cupples, L Adrienne %A Jui, Jonathan %A Gunson, Karen %A Kesaniemi, Y Antero %A Wilde, Arthur A M %A Tardif, Jean-Claude %A O'Donnell, Christopher J %A Bezzina, Connie R %A Virmani, Renu %A Stricker, Bruno H C H %A Tan, Hanno L %A Albert, Christine M %A Chakravarti, Aravinda %A Rioux, John D %A Huikuri, Heikki V %A Chugh, Sumeet S %K Adult %K Aged %K Alleles %K Chromosomes, Human, Pair 2 %K Death, Sudden, Cardiac %K European Continental Ancestry Group %K Female %K Genetic Loci %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Male %K Middle Aged %K Myocardial Contraction %K Polymorphism, Single Nucleotide %X

Sudden cardiac death (SCD) continues to be one of the leading causes of mortality worldwide, with an annual incidence estimated at 250,000-300,000 in the United States and with the vast majority occurring in the setting of coronary disease. We performed a genome-wide association meta-analysis in 1,283 SCD cases and >20,000 control individuals of European ancestry from 5 studies, with follow-up genotyping in up to 3,119 SCD cases and 11,146 controls from 11 European ancestry studies, and identify the BAZ2B locus as associated with SCD (P = 1.8×10(-10)). The risk allele, while ancestral, has a frequency of ~1.4%, suggesting strong negative selection and increases risk for SCD by 1.92-fold per allele (95% CI 1.57-2.34). We also tested the role of 49 SNPs previously implicated in modulating electrocardiographic traits (QRS, QT, and RR intervals). Consistent with epidemiological studies showing increased risk of SCD with prolonged QRS/QT intervals, the interval-prolonging alleles are in aggregate associated with increased risk for SCD (P = 0.006).

%B PLoS Genet %V 7 %P e1002158 %8 2011 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/21738491?dopt=Abstract %R 10.1371/journal.pgen.1002158 %0 Journal Article %J PLoS Genet %D 2012 %T Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function. %A Hancock, Dana B %A Soler Artigas, Maria %A Gharib, Sina A %A Henry, Amanda %A Manichaikul, Ani %A Ramasamy, Adaikalavan %A Loth, Daan W %A Imboden, Medea %A Koch, Beate %A McArdle, Wendy L %A Smith, Albert V %A Smolonska, Joanna %A Sood, Akshay %A Tang, Wenbo %A Wilk, Jemma B %A Zhai, Guangju %A Zhao, Jing Hua %A Aschard, Hugues %A Burkart, Kristin M %A Curjuric, Ivan %A Eijgelsheim, Mark %A Elliott, Paul %A Gu, Xiangjun %A Harris, Tamara B %A Janson, Christer %A Homuth, Georg %A Hysi, Pirro G %A Liu, Jason Z %A Loehr, Laura R %A Lohman, Kurt %A Loos, Ruth J F %A Manning, Alisa K %A Marciante, Kristin D %A Obeidat, Ma'en %A Postma, Dirkje S %A Aldrich, Melinda C %A Brusselle, Guy G %A Chen, Ting-Hsu %A Eiriksdottir, Gudny %A Franceschini, Nora %A Heinrich, Joachim %A Rotter, Jerome I %A Wijmenga, Cisca %A Williams, O Dale %A Bentley, Amy R %A Hofman, Albert %A Laurie, Cathy C %A Lumley, Thomas %A Morrison, Alanna C %A Joubert, Bonnie R %A Rivadeneira, Fernando %A Couper, David J %A Kritchevsky, Stephen B %A Liu, Yongmei %A Wjst, Matthias %A Wain, Louise V %A Vonk, Judith M %A Uitterlinden, André G %A Rochat, Thierry %A Rich, Stephen S %A Psaty, Bruce M %A O'Connor, George T %A North, Kari E %A Mirel, Daniel B %A Meibohm, Bernd %A Launer, Lenore J %A Khaw, Kay-Tee %A Hartikainen, Anna-Liisa %A Hammond, Christopher J %A Gläser, Sven %A Marchini, Jonathan %A Kraft, Peter %A Wareham, Nicholas J %A Völzke, Henry %A Stricker, Bruno H C %A Spector, Timothy D %A Probst-Hensch, Nicole M %A Jarvis, Deborah %A Jarvelin, Marjo-Riitta %A Heckbert, Susan R %A Gudnason, Vilmundur %A Boezen, H Marike %A Barr, R Graham %A Cassano, Patricia A %A Strachan, David P %A Fornage, Myriam %A Hall, Ian P %A Dupuis, Josée %A Tobin, Martin D %A London, Stephanie J %K Forced Expiratory Volume %K Gene Expression %K Genome, Human %K Genome-Wide Association Study %K HLA-DQ Antigens %K HLA-DQ beta-Chains %K Humans %K Lung %K Nerve Tissue Proteins %K Polymorphism, Single Nucleotide %K Potassium Channels, Inwardly Rectifying %K Pulmonary Disease, Chronic Obstructive %K Receptors, Cell Surface %K Smoking %K SOX9 Transcription Factor %K Vital Capacity %X

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

%B PLoS Genet %V 8 %P e1003098 %8 2012 %G eng %N 12 %1 http://www.ncbi.nlm.nih.gov/pubmed/23284291?dopt=Abstract %R 10.1371/journal.pgen.1003098 %0 Journal Article %J Nat Genet %D 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 Heart Rhythm %D 2014 %T Common variation in fatty acid metabolic genes and risk of incident sudden cardiac arrest. %A Lemaitre, Rozenn N %A Johnson, Catherine O %A Hesselson, Stephanie %A Sotoodehnia, Nona %A Sotoodhenia, Nona %A McKnight, Barbara %A Sitlani, Colleen M %A Rea, Thomas D %A King, Irena B %A Kwok, Pui-Yan %A Mak, Angel %A Li, Guo %A Brody, Jennifer %A Larson, Eric %A Mozaffarian, Dariush %A Psaty, Bruce M %A Huertas-Vazquez, Adriana %A Tardif, Jean-Claude %A Albert, Christine M %A Lyytikäinen, Leo-Pekka %A Arking, Dan E %A Kääb, Stefan %A Huikuri, Heikki V %A Krijthe, Bouwe P %A Eijgelsheim, Mark %A Wang, Ying A %A Reinier, Kyndaron %A Lehtimäki, Terho %A Pulit, Sara L %A Brugada, Ramon %A Müller-Nurasyid, Martina %A Newton-Cheh, Chris H %A Karhunen, Pekka J %A Stricker, Bruno H %A Goyette, Philippe %A Rotter, Jerome I %A Chugh, Sumeet S %A Chakravarti, Aravinda %A Jouven, Xavier %A Siscovick, David S %K 1-Acylglycerophosphocholine O-Acyltransferase %K Aged %K Algorithms %K Alleles %K Case-Control Studies %K Death, Sudden, Cardiac %K Fatty Acids %K Female %K Genetic Predisposition to Disease %K Genetic Variation %K Genotype %K Humans %K Male %K Polymorphism, Single Nucleotide %K Risk Factors %X

BACKGROUND: There is limited information on genetic factors associated with sudden cardiac arrest (SCA).

OBJECTIVE: To assess the association of common variation in genes in fatty acid pathways with SCA risk.

METHODS: We selected 85 candidate genes and 1155 single nucleotide polymorphisms (SNPs) tagging common variation in each gene. We investigated the SNP associations with SCA in a population-based case-control study. Cases (n = 2160) were from a repository of SCA in the greater Seattle area. Controls (n = 2615), frequency-matched on age and sex, were from the same area. We used linear logistic regression to examine SNP associations with SCA. We performed permutation-based p-min tests to account for multiple comparisons within each gene. The SNP associations with a corrected P value of <.05 were then examined in a meta-analysis of these SNP associations in 9 replication studies totaling 2129 SCA cases and 23,833 noncases.

RESULTS: Eight SNPs in or near 8 genes were associated with SCA risk in the discovery study, one of which was nominally significant in the replication phase (rs7737692, minor allele frequency 36%, near the LPCAT1 gene). For each copy of the minor allele, rs7737692 was associated with 13% lower SCA risk (95% confidence interval -21% to -5%) in the discovery phase and 9% lower SCA risk (95% confidence interval -16% to -1%) in the replication phase.

CONCLUSIONS: While none of the associations reached significance with Bonferroni correction, a common genetic variant near LPCAT1, a gene involved in the remodeling of phospholipids, was nominally associated with incident SCA risk. Further study is needed to validate this observation.

%B Heart Rhythm %V 11 %P 471-7 %8 2014 Mar %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/24418166?dopt=Abstract %R 10.1016/j.hrthm.2014.01.008 %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 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 Hum Mol Genet %D 2017 %T Discovery of novel heart rate-associated loci using the Exome Chip. %A van den Berg, Marten E %A Warren, Helen R %A Cabrera, Claudia P %A Verweij, Niek %A Mifsud, Borbala %A Haessler, Jeffrey %A Bihlmeyer, Nathan A %A Fu, Yi-Ping %A Weiss, Stefan %A Lin, Henry J %A Grarup, Niels %A Li-Gao, Ruifang %A Pistis, Giorgio %A Shah, Nabi %A Brody, Jennifer A %A Müller-Nurasyid, Martina %A Lin, Honghuang %A Mei, Hao %A Smith, Albert V %A Lyytikäinen, Leo-Pekka %A Hall, Leanne M %A van Setten, Jessica %A Trompet, Stella %A Prins, Bram P %A Isaacs, Aaron %A Radmanesh, Farid %A Marten, Jonathan %A Entwistle, Aiman %A Kors, Jan A %A Silva, Claudia T %A Alonso, Alvaro %A Bis, Joshua C %A de Boer, Rudolf %A de Haan, Hugoline G %A de Mutsert, Renée %A Dedoussis, George %A Dominiczak, Anna F %A Doney, Alex S F %A Ellinor, Patrick T %A Eppinga, Ruben N %A Felix, Stephan B %A Guo, Xiuqing %A Hagemeijer, Yanick %A Hansen, Torben %A Harris, Tamara B %A Heckbert, Susan R %A Huang, Paul L %A Hwang, Shih-Jen %A Kähönen, Mika %A Kanters, Jørgen K %A Kolcic, Ivana %A Launer, Lenore J %A Li, Man %A Yao, Jie %A Linneberg, Allan %A Liu, Simin %A Macfarlane, Peter W %A Mangino, Massimo %A Morris, Andrew D %A Mulas, Antonella %A Murray, Alison D %A Nelson, Christopher P %A Orrù, Marco %A Padmanabhan, Sandosh %A Peters, Annette %A Porteous, David J %A Poulter, Neil %A Psaty, Bruce M %A Qi, Lihong %A Raitakari, Olli T %A Rivadeneira, Fernando %A Roselli, Carolina %A Rudan, Igor %A Sattar, Naveed %A Sever, Peter %A Sinner, Moritz F %A Soliman, Elsayed Z %A Spector, Timothy D %A Stanton, Alice V %A Stirrups, Kathleen E %A Taylor, Kent D %A Tobin, Martin D %A Uitterlinden, Andre %A Vaartjes, Ilonca %A Hoes, Arno W %A van der Meer, Peter %A Völker, Uwe %A Waldenberger, Melanie %A Xie, Zhijun %A Zoledziewska, Magdalena %A Tinker, Andrew %A Polasek, Ozren %A Rosand, Jonathan %A Jamshidi, Yalda %A van Duijn, Cornelia M %A Zeggini, Eleftheria %A Wouter Jukema, J %A Asselbergs, Folkert W %A Samani, Nilesh J %A Lehtimäki, Terho %A Gudnason, Vilmundur %A Wilson, James %A Lubitz, Steven A %A Kääb, Stefan %A Sotoodehnia, Nona %A Caulfield, Mark J %A Palmer, Colin N A %A Sanna, Serena %A Mook-Kanamori, Dennis O %A Deloukas, Panos %A Pedersen, Oluf %A Rotter, Jerome I %A Dörr, Marcus %A O'Donnell, Chris J %A Hayward, Caroline %A Arking, Dan E %A Kooperberg, Charles %A van der Harst, Pim %A Eijgelsheim, Mark %A Stricker, Bruno H %A Munroe, Patricia B %X

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

%B Hum Mol Genet %8 2017 Apr 03 %G eng %R 10.1093/hmg/ddx113 %0 Journal Article %J Circ Genom Precis Med %D 2018 %T Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval. %A Lin, Honghuang %A van Setten, Jessica %A Smith, Albert V %A Bihlmeyer, Nathan A %A Warren, Helen R %A Brody, Jennifer A %A Radmanesh, Farid %A Hall, Leanne %A Grarup, Niels %A Müller-Nurasyid, Martina %A Boutin, Thibaud %A Verweij, Niek %A Lin, Henry J %A Li-Gao, Ruifang %A van den Berg, Marten E %A Marten, Jonathan %A Weiss, Stefan %A Prins, Bram P %A Haessler, Jeffrey %A Lyytikäinen, Leo-Pekka %A Mei, Hao %A Harris, Tamara B %A Launer, Lenore J %A Li, Man %A Alonso, Alvaro %A Soliman, Elsayed Z %A Connell, John M %A Huang, Paul L %A Weng, Lu-Chen %A Jameson, Heather S %A Hucker, William %A Hanley, Alan %A Tucker, Nathan R %A Chen, Yii-Der Ida %A Bis, Joshua C %A Rice, Kenneth M %A Sitlani, Colleen M %A Kors, Jan A %A Xie, Zhijun %A Wen, Chengping %A Magnani, Jared W %A Nelson, Christopher P %A Kanters, Jørgen K %A Sinner, Moritz F %A Strauch, Konstantin %A Peters, Annette %A Waldenberger, Melanie %A Meitinger, Thomas %A Bork-Jensen, Jette %A Pedersen, Oluf %A Linneberg, Allan %A Rudan, Igor %A de Boer, Rudolf A %A van der Meer, Peter %A Yao, Jie %A Guo, Xiuqing %A Taylor, Kent D %A Sotoodehnia, Nona %A Rotter, Jerome I %A Mook-Kanamori, Dennis O %A Trompet, Stella %A Rivadeneira, Fernando %A Uitterlinden, Andre %A Eijgelsheim, Mark %A Padmanabhan, Sandosh %A Smith, Blair H %A Völzke, Henry %A Felix, Stephan B %A Homuth, Georg %A Völker, Uwe %A Mangino, Massimo %A Spector, Timothy D %A Bots, Michiel L %A Perez, Marco %A Kähönen, Mika %A Raitakari, Olli T %A Gudnason, Vilmundur %A Arking, Dan E %A Munroe, Patricia B %A Psaty, Bruce M %A van Duijn, Cornelia M %A Benjamin, Emelia J %A Rosand, Jonathan %A Samani, Nilesh J %A Hansen, Torben %A Kääb, Stefan %A Polasek, Ozren %A van der Harst, Pim %A Heckbert, Susan R %A Jukema, J Wouter %A Stricker, Bruno H %A Hayward, Caroline %A Dörr, Marcus %A Jamshidi, Yalda %A Asselbergs, Folkert W %A Kooperberg, Charles %A Lehtimäki, Terho %A Wilson, James G %A Ellinor, Patrick T %A Lubitz, Steven A %A Isaacs, Aaron %X

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

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

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

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

%B Circ Genom Precis Med %V 11 %P e002037 %8 2018 May %G eng %N 5 %R 10.1161/CIRCGEN.117.002037 %0 Journal Article %J 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 Genome Biol %D 2018 %T Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. %A Prins, Bram P %A Mead, Timothy J %A Brody, Jennifer A %A Sveinbjornsson, Gardar %A Ntalla, Ioanna %A Bihlmeyer, Nathan A %A van den Berg, Marten %A Bork-Jensen, Jette %A Cappellani, Stefania %A Van Duijvenboden, Stefan %A Klena, Nikolai T %A Gabriel, George C %A Liu, Xiaoqin %A Gulec, Cagri %A Grarup, Niels %A Haessler, Jeffrey %A Hall, Leanne M %A Iorio, Annamaria %A Isaacs, Aaron %A Li-Gao, Ruifang %A Lin, Honghuang %A Liu, Ching-Ti %A Lyytikäinen, Leo-Pekka %A Marten, Jonathan %A Mei, Hao %A Müller-Nurasyid, Martina %A Orini, Michele %A Padmanabhan, Sandosh %A Radmanesh, Farid %A Ramirez, Julia %A Robino, Antonietta %A Schwartz, Molly %A van Setten, Jessica %A Smith, Albert V %A Verweij, Niek %A Warren, Helen R %A Weiss, Stefan %A Alonso, Alvaro %A Arnar, David O %A Bots, Michiel L %A de Boer, Rudolf A %A Dominiczak, Anna F %A Eijgelsheim, Mark %A Ellinor, Patrick T %A Guo, Xiuqing %A Felix, Stephan B %A Harris, Tamara B %A Hayward, Caroline %A Heckbert, Susan R %A Huang, Paul L %A Jukema, J W %A Kähönen, Mika %A Kors, Jan A %A Lambiase, Pier D %A Launer, Lenore J %A Li, Man %A Linneberg, Allan %A Nelson, Christopher P %A Pedersen, Oluf %A Perez, Marco %A Peters, Annette %A Polasek, Ozren %A Psaty, Bruce M %A Raitakari, Olli T %A Rice, Kenneth M %A Rotter, Jerome I %A Sinner, Moritz F %A Soliman, Elsayed Z %A Spector, Tim D %A Strauch, Konstantin %A Thorsteinsdottir, Unnur %A Tinker, Andrew %A Trompet, Stella %A Uitterlinden, Andre %A Vaartjes, Ilonca %A van der Meer, Peter %A Völker, Uwe %A Völzke, Henry %A Waldenberger, Melanie %A Wilson, James G %A Xie, Zhijun %A Asselbergs, Folkert W %A Dörr, Marcus %A van Duijn, Cornelia M %A Gasparini, Paolo %A Gudbjartsson, Daniel F %A Gudnason, Vilmundur %A Hansen, Torben %A Kääb, Stefan %A Kanters, Jørgen K %A Kooperberg, Charles %A Lehtimäki, Terho %A Lin, Henry J %A Lubitz, Steven A %A Mook-Kanamori, Dennis O %A Conti, Francesco J %A Newton-Cheh, Christopher H %A Rosand, Jonathan %A Rudan, Igor %A Samani, Nilesh J %A Sinagra, Gianfranco %A Smith, Blair H %A Holm, Hilma %A Stricker, Bruno H %A Ulivi, Sheila %A Sotoodehnia, Nona %A Apte, Suneel S %A van der Harst, Pim %A Stefansson, Kari %A Munroe, Patricia B %A Arking, Dan E %A Lo, Cecilia W %A Jamshidi, Yalda %X

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

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

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

%B Genome Biol %V 19 %P 87 %8 2018 07 17 %G eng %N 1 %R 10.1186/s13059-018-1457-6 %0 Journal Article %J Circ Genom Precis Med %D 2018 %T ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals. %A Bihlmeyer, Nathan A %A Brody, Jennifer A %A Smith, Albert Vernon %A Warren, Helen R %A Lin, Honghuang %A Isaacs, Aaron %A Liu, Ching-Ti %A Marten, Jonathan %A Radmanesh, Farid %A Hall, Leanne M %A Grarup, Niels %A Mei, Hao %A Müller-Nurasyid, Martina %A Huffman, Jennifer E %A Verweij, Niek %A Guo, Xiuqing %A Yao, Jie %A Li-Gao, Ruifang %A van den Berg, Marten %A Weiss, Stefan %A Prins, Bram P %A van Setten, Jessica %A Haessler, Jeffrey %A Lyytikäinen, Leo-Pekka %A Li, Man %A Alonso, Alvaro %A Soliman, Elsayed Z %A Bis, Joshua C %A Austin, Tom %A Chen, Yii-Der Ida %A Psaty, Bruce M %A Harrris, Tamara B %A Launer, Lenore J %A Padmanabhan, Sandosh %A Dominiczak, Anna %A Huang, Paul L %A Xie, Zhijun %A Ellinor, Patrick T %A Kors, Jan A %A Campbell, Archie %A Murray, Alison D %A Nelson, Christopher P %A Tobin, Martin D %A Bork-Jensen, Jette %A Hansen, Torben %A Pedersen, Oluf %A Linneberg, Allan %A Sinner, Moritz F %A Peters, Annette %A Waldenberger, Melanie %A Meitinger, Thomas %A Perz, Siegfried %A Kolcic, Ivana %A Rudan, Igor %A de Boer, Rudolf A %A van der Meer, Peter %A Lin, Henry J %A Taylor, Kent D %A de Mutsert, Renée %A Trompet, Stella %A Jukema, J Wouter %A Maan, Arie C %A Stricker, Bruno H C %A Rivadeneira, Fernando %A Uitterlinden, Andre %A Völker, Uwe %A Homuth, Georg %A Völzke, Henry %A Felix, Stephan B %A Mangino, Massimo %A Spector, Timothy D %A Bots, Michiel L %A Perez, Marco %A Raitakari, Olli T %A Kähönen, Mika %A Mononen, Nina %A Gudnason, Vilmundur %A Munroe, Patricia B %A Lubitz, Steven A %A van Duijn, Cornelia M %A Newton-Cheh, Christopher H %A Hayward, Caroline %A Rosand, Jonathan %A Samani, Nilesh J %A Kanters, Jørgen K %A Wilson, James G %A Kääb, Stefan %A Polasek, Ozren %A van der Harst, Pim %A Heckbert, Susan R %A Rotter, Jerome I %A Mook-Kanamori, Dennis O %A Eijgelsheim, Mark %A Dörr, Marcus %A Jamshidi, Yalda %A Asselbergs, Folkert W %A Kooperberg, Charles %A Lehtimäki, Terho %A Arking, Dan E %A Sotoodehnia, Nona %X

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

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

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

%B Circ Genom Precis Med %V 11 %P e001758 %8 2018 Jan %G eng %N 1 %R 10.1161/CIRCGEN.117.001758 %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