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1. Genome-Wide Interaction Analyses of Serum Calcium on Ventricular Repolarization Time in 125 393 Participants.

Author

Young WJ, van der Most PJ, Bartz TM, Bos MM, Biino G, Duong T, Foco L, Lominchar JT, Müller-Nurasyid M, Nardone GG, Pecori A, Ramirez J, Repetto L, Schramm K, Shen X, van Duijvenboden S, van Heemst D, Weiss S, Yao J, Benjamins JW, Alonso A, Spedicati B, Biggs ML, Brody JA, Dörr M, Fuchsberger C, Gögele M, Guo X, Ikram MA, Jukema JW, Kääb S, Kanters JK, Lin HJ, Linneberg A, Nauck M, Nolte IM, Pianigiani G, Santin A, Soliman EZ, Tesolin P, Vaccargiu S, Waldenberger M, van der Harst P, Verweij N, Arking DE, Concas MP, De Grandi A, Girotto G, Grarup N, Kavousi M, Mook-Kanamori DO, Navarro P, Orini M, Padmanabhan S, Pattaro C, Peters A, Pirastu M, Pramstaller PP, Heckbert SR, Sinner M, Snieder H, Völker U, Wilson JF, Gauderman WJ, Lambiase PD, Sotoodehnia N, Tinker A, Warren HR, Noordam R, and Munroe PB

Subjects
Humans, Action Potentials, Arrhythmias, Cardiac genetics, Arrhythmias, Cardiac physiopathology, Arrhythmias, Cardiac blood, Arrhythmias, Cardiac diagnosis, Electrocardiography, Genetic Predisposition to Disease, Heart Rate genetics, Heart Rate physiology, Polymorphism, Single Nucleotide, Risk Factors, Time Factors, Calcium blood, Genome-Wide Association Study
Abstract

Background: Ventricular repolarization time (ECG QT and JT intervals) is associated with malignant arrhythmia. Genome-wide association studies have identified 230 independent loci for QT and JT; however, 50% of their heritability remains unexplained. Previous work supports a causal effect of lower serum calcium concentrations on longer ventricular repolarization time. We hypothesized calcium interactions with QT and JT variant associations could explain a proportion of the missing heritability., Methods and Results: We performed genome-wide calcium interaction analyses for QT and JT intervals. Participants were stratified by their calcium level relative to the study distribution (top or bottom 20%). We performed a 2-stage analysis (genome-wide discovery [N=62 532] and replication [N=59 861] of lead variants) and a single-stage genome-wide meta-analysis (N=122 393, [European ancestry N=117 581, African ancestry N=4812]). We also calculated 2-degrees of freedom joint main and interaction and 1-degree of freedom interaction P values. In 2-stage and single-stage analyses, 50 and 98 independent loci, respectively, were associated with either QT or JT intervals (2-degrees of freedom joint main and interaction P value <5×10 -8 ). No lead variant had a significant interaction result after correcting for multiple testing and sensitivity analyses provided similar findings. Two loci in the single-stage meta-analysis were not reported previously ( SPPL2B and RFX6 )., Conclusions: We have found limited support for an interaction effect of serum calcium on QT and JT variant associations despite sample sizes with suitable power to detect relevant effects. Therefore, such effects are unlikely to explain a meaningful proportion of the heritability of QT and JT, and factors including rare variation and other environmental interactions need to be considered.

Published
2024
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2. Transethnic Genome-Wide Association Study Provides Insights in the Genetic Architecture and Heritability of Long QT Syndrome.

Author

Lahrouchi N, Tadros R, Crotti L, Mizusawa Y, Postema PG, Beekman L, Walsh R, Hasegawa K, Barc J, Ernsting M, Turkowski KL, Mazzanti A, Beckmann BM, Shimamoto K, Diamant UB, Wijeyeratne YD, Kucho Y, Robyns T, Ishikawa T, Arbelo E, Christiansen M, Winbo A, Jabbari R, Lubitz SA, Steinfurt J, Rudic B, Loeys B, Shoemaker MB, Weeke PE, Pfeiffer R, Davies B, Andorin A, Hofman N, Dagradi F, Pedrazzini M, Tester DJ, Bos JM, Sarquella-Brugada G, Campuzano Ó, Platonov PG, Stallmeyer B, Zumhagen S, Nannenberg EA, Veldink JH, van den Berg LH, Al-Chalabi A, Shaw CE, Shaw PJ, Morrison KE, Andersen PM, Müller-Nurasyid M, Cusi D, Barlassina C, Galan P, Lathrop M, Munter M, Werge T, Ribasés M, Aung T, Khor CC, Ozaki M, Lichtner P, Meitinger T, van Tintelen JP, Hoedemaekers Y, Denjoy I, Leenhardt A, Napolitano C, Shimizu W, Schott JJ, Gourraud JB, Makiyama T, Ohno S, Itoh H, Krahn AD, Antzelevitch C, Roden DM, Saenen J, Borggrefe M, Odening KE, Ellinor PT, Tfelt-Hansen J, Skinner JR, van den Berg MP, Olesen MS, Brugada J, Brugada R, Makita N, Breckpot J, Yoshinaga M, Behr ER, Rydberg A, Aiba T, Kääb S, Priori SG, Guicheney P, Tan HL, Newton-Cheh C, Ackerman MJ, Schwartz PJ, Schulze-Bahr E, Probst V, Horie M, Wilde AA, Tanck MWT, and Bezzina CR

Subjects
Adolescent, Adult, Age of Onset, Alleles, Case-Control Studies, Electrocardiography, Genetic Association Studies, Genotype, Humans, Long QT Syndrome diagnosis, Long QT Syndrome mortality, Long QT Syndrome therapy, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide, Prognosis, Severity of Illness Index, Young Adult, Genetic Predisposition to Disease, Genome-Wide Association Study methods, Long QT Syndrome genetics
Abstract

Background: Long QT syndrome (LQTS) is a rare genetic disorder and a major preventable cause of sudden cardiac death in the young. A causal rare genetic variant with large effect size is identified in up to 80% of probands (genotype positive) and cascade family screening shows incomplete penetrance of genetic variants. Furthermore, a proportion of cases meeting diagnostic criteria for LQTS remain genetically elusive despite genetic testing of established genes (genotype negative). These observations raise the possibility that common genetic variants with small effect size contribute to the clinical picture of LQTS. This study aimed to characterize and quantify the contribution of common genetic variation to LQTS disease susceptibility., Methods: We conducted genome-wide association studies followed by transethnic meta-analysis in 1656 unrelated patients with LQTS of European or Japanese ancestry and 9890 controls to identify susceptibility single nucleotide polymorphisms. We estimated the common variant heritability of LQTS and tested the genetic correlation between LQTS susceptibility and other cardiac traits. Furthermore, we tested the aggregate effect of the 68 single nucleotide polymorphisms previously associated with the QT-interval in the general population using a polygenic risk score., Results: Genome-wide association analysis identified 3 loci associated with LQTS at genome-wide statistical significance ( P <5×10 -8 ) near NOS1AP , KCNQ1 , and KLF12 , and 1 missense variant in KCNE1 (p.Asp85Asn) at the suggestive threshold ( P <10 -6 ). Heritability analyses showed that ≈15% of variance in overall LQTS susceptibility was attributable to common genetic variation ( h2SNP 0.148; standard error 0.019). LQTS susceptibility showed a strong genome-wide genetic correlation with the QT-interval in the general population (r g =0.40; P =3.2×10 -3 ). The polygenic risk score comprising common variants previously associated with the QT-interval in the general population was greater in LQTS cases compared with controls ( P <10-13), and it is notable that, among patients with LQTS, this polygenic risk score was greater in patients who were genotype negative compared with those who were genotype positive ( P <0.005)., Conclusions: This work establishes an important role for common genetic variation in susceptibility to LQTS. We demonstrate overlap between genetic control of the QT-interval in the general population and genetic factors contributing to LQTS susceptibility. Using polygenic risk score analyses aggregating common genetic variants that modulate the QT-interval in the general population, we provide evidence for a polygenic architecture in genotype negative LQTS.

Published
2020
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3. PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity.

Author

van Setten J, Brody JA, Jamshidi Y, Swenson BR, Butler AM, Campbell H, Del Greco FM, Evans DS, Gibson Q, Gudbjartsson DF, Kerr KF, Krijthe BP, Lyytikäinen LP, Müller C, Müller-Nurasyid M, Nolte IM, Padmanabhan S, Ritchie MD, Robino A, Smith AV, Steri M, Tanaka T, Teumer A, Trompet S, Ulivi S, Verweij N, Yin X, Arnar DO, Asselbergs FW, Bader JS, Barnard J, Bis J, Blankenberg S, Boerwinkle E, Bradford Y, Buckley BM, Chung MK, Crawford D, den Hoed M, Denny JC, Dominiczak AF, Ehret GB, Eijgelsheim M, Ellinor PT, Felix SB, Franco OH, Franke L, Harris TB, Holm H, Ilaria G, Iorio A, Kähönen M, Kolcic I, Kors JA, Lakatta EG, Launer LJ, Lin H, Lin HJ, Loos RJF, Lubitz SA, Macfarlane PW, Magnani JW, Leach IM, Meitinger T, Mitchell BD, Munzel T, Papanicolaou GJ, Peters A, Pfeufer A, Pramstaller PP, Raitakari OT, Rotter JI, Rudan I, Samani NJ, Schlessinger D, Silva Aldana CT, Sinner MF, Smith JD, Snieder H, Soliman EZ, Spector TD, Stott DJ, Strauch K, Tarasov KV, Thorsteinsdottir U, Uitterlinden AG, Van Wagoner DR, Völker U, Völzke H, Waldenberger M, Jan Westra H, Wild PS, Zeller T, Alonso A, Avery CL, Bandinelli S, Benjamin EJ, Cucca F, Dörr M, Ferrucci L, Gasparini P, Gudnason V, Hayward C, Heckbert SR, Hicks AA, Jukema JW, Kääb S, Lehtimäki T, Liu Y, Munroe PB, Parsa A, Polasek O, Psaty BM, Roden DM, Schnabel RB, Sinagra G, Stefansson K, Stricker BH, van der Harst P, van Duijn CM, Wilson JF, Gharib SA, de Bakker PIW, Isaacs A, Arking DE, and Sotoodehnia N

Subjects
Electrocardiography, Female, Humans, Linkage Disequilibrium genetics, Male, Mutation, Missense genetics, Risk Factors, Atrial Function physiology, Atrioventricular Node physiology, Electrophysiological Phenomena genetics, Genome-Wide Association Study
Abstract

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.

Published
2018
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5. Fifteen Genetic Loci Associated With the Electrocardiographic P Wave.

Author

Christophersen IE, Magnani JW, Yin X, Barnard J, Weng LC, Arking DE, Niemeijer MN, Lubitz SA, Avery CL, Duan Q, Felix SB, Bis JC, Kerr KF, Isaacs A, Müller-Nurasyid M, Müller C, North KE, Reiner AP, Tinker LF, Kors JA, Teumer A, Petersmann A, Sinner MF, Buzkova P, Smith JD, Van Wagoner DR, Völker U, Waldenberger M, Peters A, Meitinger T, Limacher MC, Wilhelmsen KC, Psaty BM, Hofman A, Uitterlinden A, Krijthe BP, Zhang ZM, Schnabel RB, Kääb S, van Duijn C, Rotter JI, Sotoodehnia N, Dörr M, Li Y, Chung MK, Soliman EZ, Alonso A, Whitsel EA, Stricker BH, Benjamin EJ, Heckbert SR, and Ellinor PT

Subjects
Arrhythmias, Cardiac genetics, Arrhythmias, Cardiac physiopathology, Caveolin 1 genetics, Caveolin 2 genetics, Genotype, Heart Atria metabolism, Humans, NAV1.5 Voltage-Gated Sodium Channel genetics, NAV1.8 Voltage-Gated Sodium Channel genetics, T-Box Domain Proteins genetics, Electrocardiography, Genetic Loci, Genome-Wide Association Study
Abstract

Background: The P wave on an ECG is a measure of atrial electric function, and its characteristics may serve as predictors for atrial arrhythmias. Increased mean P-wave duration and P-wave terminal force traditionally have been used as markers for left atrial enlargement, and both have been associated with increased risk of atrial fibrillation. Here, we explore the genetic basis of P-wave morphology through meta-analysis of genome-wide association study results for P-wave duration and P-wave terminal force from 12 cohort studies., Methods and Results: We included 44 456 individuals, of which 6778 (16%) were of African ancestry. Genotyping, imputation, and genome-wide association study were performed at each study site. Summary-level results were meta-analyzed centrally using inverse-variance weighting. In meta-analyses of P-wave duration, we identified 6 significant ( P <5×10 - 8 ) novel loci and replicated a prior association with S CN10A. We identified 3 loci at SCN5A , TBX5 , and CAV1/CAV2 that were jointly associated with the PR interval, PR segment, and P-wave duration. We identified 6 novel loci in meta-analysis of P-wave terminal force. Four of the identified genetic loci were significantly associated with gene expression in 329 left atrial samples. Finally, we observed that some of the loci associated with the P wave were linked to overall atrial conduction, whereas others identified distinct phases of atrial conduction., Conclusions: We have identified 6 novel genetic loci associated with P-wave duration and 6 novel loci associated with P-wave terminal force. Future studies of these loci may aid in identifying new targets for drugs that may modify atrial conduction or treat atrial arrhythmias., (© 2017 American Heart Association, Inc.)

Published
2017
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6. 52 Genetic Loci Influencing Myocardial Mass.

Author

van der Harst P, van Setten J, Verweij N, Vogler G, Franke L, Maurano MT, Wang X, Mateo Leach I, Eijgelsheim M, Sotoodehnia N, Hayward C, Sorice R, Meirelles O, Lyytikäinen LP, Polašek O, Tanaka T, Arking DE, Ulivi S, Trompet S, Müller-Nurasyid M, Smith AV, Dörr M, Kerr KF, Magnani JW, Del Greco M F, Zhang W, Nolte IM, Silva CT, Padmanabhan S, Tragante V, Esko T, Abecasis GR, Adriaens ME, Andersen K, Barnett P, Bis JC, Bodmer R, Buckley BM, Campbell H, Cannon MV, Chakravarti A, Chen LY, Delitala A, Devereux RB, Doevendans PA, Dominiczak AF, Ferrucci L, Ford I, Gieger C, Harris TB, Haugen E, Heinig M, Hernandez DG, Hillege HL, Hirschhorn JN, Hofman A, Hubner N, Hwang SJ, Iorio A, Kähönen M, Kellis M, Kolcic I, Kooner IK, Kooner JS, Kors JA, Lakatta EG, Lage K, Launer LJ, Levy D, Lundby A, Macfarlane PW, May D, Meitinger T, Metspalu A, Nappo S, Naitza S, Neph S, Nord AS, Nutile T, Okin PM, Olsen JV, Oostra BA, Penninger JM, Pennacchio LA, Pers TH, Perz S, Peters A, Pinto YM, Pfeufer A, Pilia MG, Pramstaller PP, Prins BP, Raitakari OT, Raychaudhuri S, Rice KM, Rossin EJ, Rotter JI, Schafer S, Schlessinger D, Schmidt CO, Sehmi J, Silljé HHW, Sinagra G, Sinner MF, Slowikowski K, Soliman EZ, Spector TD, Spiering W, Stamatoyannopoulos JA, Stolk RP, Strauch K, Tan ST, Tarasov KV, Trinh B, Uitterlinden AG, van den Boogaard M, van Duijn CM, van Gilst WH, Viikari JS, Visscher PM, Vitart V, Völker U, Waldenberger M, Weichenberger CX, Westra HJ, Wijmenga C, Wolffenbuttel BH, Yang J, Bezzina CR, Munroe PB, Snieder H, Wright AF, Rudan I, Boyer LA, Asselbergs FW, van Veldhuisen DJ, Stricker BH, Psaty BM, Ciullo M, Sanna S, Lehtimäki T, Wilson JF, Bandinelli S, Alonso A, Gasparini P, Jukema JW, Kääb S, Gudnason V, Felix SB, Heckbert SR, de Boer RA, Newton-Cheh C, Hicks AA, Chambers JC, Jamshidi Y, Visel A, Christoffels VM, Isaacs A, Samani NJ, and de Bakker PIW

Subjects
Animals, Humans, Cardiomegaly genetics, Genetic Loci, Genome-Wide Association Study
Abstract

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., (Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Published
2016
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7. A meta-analysis of genome-wide association studies of the electrocardiographic early repolarization pattern.

Author

Sinner MF, Porthan K, Noseworthy PA, Havulinna AS, Tikkanen JT, Müller-Nurasyid M, Peloso G, Ulivi S, Beckmann BM, Brockhaus AC, Cooper RR, Gasparini P, Hengstenberg C, Hwang SJ, Iorio A, Junttila MJ, Klopp N, Kähönen M, Laaksonen MA, Lehtimäki T, Lichtner P, Lyytikäinen LP, Martens E, Meisinger C, Meitinger T, Merchant FM, Nieminen MS, Peters A, Pietilä A, Perz S, Oikarinen L, Raitakari O, Reinhard W, Silander K, Thorand B, Wichmann HE, Sinagra G, Viikari J, O'Donnell CJ, Ellinor PT, Huikuri HV, Kääb S, Newton-Cheh C, and Salomaa V

Subjects
Female, Genetic Predisposition to Disease, Humans, Male, Mutation, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Arrhythmias, Cardiac genetics, Death, Sudden, Cardiac, Electrocardiography, Genome-Wide Association Study, Heart Conduction System physiopathology
Abstract

Background: The early repolarization pattern (ERP) is common and associated with risk of sudden cardiac death. ERP is heritable, and mutations have been described in syndromatic cases., Objective: To conduct a meta-analysis of genome-wide association studies to identify common genetic variants influencing ERP., Methods: We ascertained ERP on the basis of electrocardiograms in 3 large community-based cohorts from Europe and the United States: the Framingham Heart Study, the Health 2000 Study, and the KORA F4 Study. We analyzed genome-wide association studies in participants with and without ERP by logistic regression assuming an additive genetic model and meta-analyzed individual cohort results. We then sought to strengthen support for findings that reached P ≤ 1 × 10(-5) in independent individuals by direct genotyping or in-silico analysis of genome-wide data. We meta-analyzed the results from both stages., Results: Of 7482 individuals in the discovery stage, 452 showed ERP (ERP positive: mean age 46.9 ± 8.9 years, 30.3% women; ERP negative: 47.5 ± 9.4 years, 54.2% women). After meta-analysis, 8 single nucleotide polymorphisms reached P ≤ 1 × 10(-5): The most significant finding was intergenic rs11653989 (odds ratio 0.47; 95% confidence interval 0.36-0.61; P = 6.9 × 10(-9)). The most biologically relevant finding was intronic to KCND3: rs17029069 (odds ratio 1.46; 95% confidence interval 1.25-1.69; P = 8.5 × 10(-7)). In the replication step (7151 individuals), none of the 8 variants replicated, and combined meta-analysis results failed to reach genome-wide significance., Conclusions: In a genome-wide association study, we were not able to reliably identify genetic variants predisposing to ERP, presumably due to insufficient statistical power and phenotype heterogeneity. The reported heritability of ERP warrants continued investigation in larger well-phenotyped populations., (Copyright © 2012 Heart Rhythm Society. All rights reserved.)

Published
2012
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8. Genome-wide association studies of atrial fibrillation: past, present, and future.

Author

Sinner MF, Ellinor PT, Meitinger T, Benjamin EJ, and Kääb S

Subjects
Atrial Fibrillation etiology, Genetic Predisposition to Disease, Humans, Polymorphism, Single Nucleotide, Atrial Fibrillation genetics, Genome-Wide Association Study
Abstract

Genome-wide association studies (GWAS) for atrial fibrillation (AF) have identified three distinct genetic loci on chromosomes 1q21, 4q25, and 16q22 that are associated with the arrhythmia. Susceptibility loci also have been identified by GWAS for PR interval duration, a quantitative phenotype related to AF. In this review article, we have sought to summarize the latest findings for population-based genetic studies of AF, to highlight ongoing functional studies, and to explore the future directions of genetic research on AF.

Published
2011
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9. Common variants in 22 loci are associated with QRS duration and cardiac ventricular conduction.

Author

Sotoodehnia N, Isaacs A, de Bakker PI, Dörr M, Newton-Cheh C, Nolte IM, van der Harst P, Müller M, Eijgelsheim M, Alonso A, Hicks AA, Padmanabhan S, Hayward C, Smith AV, Polasek O, Giovannone S, Fu J, Magnani JW, Marciante KD, Pfeufer A, Gharib SA, Teumer A, Li M, Bis JC, Rivadeneira F, Aspelund T, Köttgen A, Johnson T, Rice K, Sie MP, Wang YA, Klopp N, Fuchsberger C, Wild SH, Mateo Leach I, Estrada K, Völker U, Wright AF, Asselbergs FW, Qu J, Chakravarti A, Sinner MF, Kors JA, Petersmann A, Harris TB, Soliman EZ, Munroe PB, Psaty BM, Oostra BA, Cupples LA, Perz S, de Boer RA, Uitterlinden AG, Völzke H, Spector TD, Liu FY, Boerwinkle E, Dominiczak AF, Rotter JI, van Herpen G, Levy D, Wichmann HE, van Gilst WH, Witteman JC, Kroemer HK, Kao WH, Heckbert SR, Meitinger T, Hofman A, Campbell H, Folsom AR, van Veldhuisen DJ, Schwienbacher C, O'Donnell CJ, Volpato CB, Caulfield MJ, Connell JM, Launer L, Lu X, Franke L, Fehrmann RS, te Meerman G, Groen HJ, Weersma RK, van den Berg LH, Wijmenga C, Ophoff RA, Navis G, Rudan I, Snieder H, Wilson JF, Pramstaller PP, Siscovick DS, Wang TJ, Gudnason V, van Duijn CM, Felix SB, Fishman GI, Jamshidi Y, Stricker BH, Samani NJ, Kääb S, and Arking DE

Subjects
Animals, Animals, Newborn, Chromosomes, Human genetics, Computational Biology, Humans, Mice, Mice, Transgenic, Models, Animal, Myocytes, Cardiac metabolism, NAV1.8 Voltage-Gated Sodium Channel, Sodium Channels genetics, Electrocardiography, Genetic Loci genetics, Genome-Wide Association Study, Heart Conduction System physiology, Polymorphism, Single Nucleotide genetics
Abstract

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.

Published
2010
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10. Genome-wide association analysis identifies multiple loci related to resting heart rate.

Author

Eijgelsheim M, Newton-Cheh C, Sotoodehnia N, de Bakker PI, Müller M, Morrison AC, Smith AV, Isaacs A, Sanna S, Dörr M, Navarro P, Fuchsberger C, Nolte IM, de Geus EJ, Estrada K, Hwang SJ, Bis JC, Rückert IM, Alonso A, Launer LJ, Hottenga JJ, Rivadeneira F, Noseworthy PA, Rice KM, Perz S, Arking DE, Spector TD, Kors JA, Aulchenko YS, Tarasov KV, Homuth G, Wild SH, Marroni F, Gieger C, Licht CM, Prineas RJ, Hofman A, Rotter JI, Hicks AA, Ernst F, Najjar SS, Wright AF, Peters A, Fox ER, Oostra BA, Kroemer HK, Couper D, Völzke H, Campbell H, Meitinger T, Uda M, Witteman JC, Psaty BM, Wichmann HE, Harris TB, Kääb S, Siscovick DS, Jamshidi Y, Uitterlinden AG, Folsom AR, Larson MG, Wilson JF, Penninx BW, Snieder H, Pramstaller PP, van Duijn CM, Lakatta EG, Felix SB, Gudnason V, Pfeufer A, Heckbert SR, Stricker BH, Boerwinkle E, and O'Donnell CJ

Subjects
Adult, Aged, Base Pairing genetics, Cohort Studies, Delta-5 Fatty Acid Desaturase, Female, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide genetics, Genetic Loci genetics, Genome, Human genetics, Genome-Wide Association Study, Heart Rate genetics, Rest physiology
Abstract

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.

Published
2010
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11. Genome-wide association studies in cardiac electrophysiology: recent discoveries and implications for clinical practice.

Author

Milan DJ, Lubitz SA, Kääb S, and Ellinor PT

Subjects
Death, Sudden, Cardiac, Humans, Atrial Fibrillation genetics, Cardiac Electrophysiology, Genome-Wide Association Study
Abstract

Genome-wide association studies have been increasingly used to study the genetics of complex human diseases. Within the field of cardiac electrophysiology, this technique has been applied to conditions such as atrial fibrillation, and several electrocardiographic parameters including the QT interval. While these studies have identified multiple genomic regions associated with each trait, questions remain, including the best way to explore the pathophysiology of each association and the potential for clinical utility. This review will summarize recent genome-wide association study results within cardiac electrophysiology and discuss their broader implications in basic science and clinical medicine., (Copyright 2010 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.)

Published
2010
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12. Genome-wide association study of PR interval.

Author

Pfeufer A, van Noord C, Marciante KD, Arking DE, Larson MG, Smith AV, Tarasov KV, Müller M, Sotoodehnia N, Sinner MF, Verwoert GC, Li M, Kao WH, Köttgen A, Coresh J, Bis JC, Psaty BM, Rice K, Rotter JI, Rivadeneira F, Hofman A, Kors JA, Stricker BH, Uitterlinden AG, van Duijn CM, Beckmann BM, Sauter W, Gieger C, Lubitz SA, Newton-Cheh C, Wang TJ, Magnani JW, Schnabel RB, Chung MK, Barnard J, Smith JD, Van Wagoner DR, Vasan RS, Aspelund T, Eiriksdottir G, Harris TB, Launer LJ, Najjar SS, Lakatta E, Schlessinger D, Uda M, Abecasis GR, Müller-Myhsok B, Ehret GB, Boerwinkle E, Chakravarti A, Soliman EZ, Lunetta KL, Perz S, Wichmann HE, Meitinger T, Levy D, Gudnason V, Ellinor PT, Sanna S, Kääb S, Witteman JC, Alonso A, Benjamin EJ, and Heckbert SR

Subjects
Aged, Atrial Fibrillation genetics, Atrial Fibrillation physiopathology, Cohort Studies, Female, Genetic Loci genetics, Genetic Predisposition to Disease, Humans, Male, Meta-Analysis as Topic, Electrocardiography, Genome-Wide Association Study, Heart Conduction System physiology
Abstract

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

Published
2010
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13. Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis.

Author

Weinstock, Joshua, Gopakumar, Jayakrishnan, Burugula, Bala, Uddin, Md, Jahn, Nikolaus, Belk, Julia, Bouzid, Hind, Daniel, Bence, Miao, Zhuang, Ly, Nghi, Mack, Taralynn, Luna, Sofia, Prothro, Katherine, Mitchell, Shaneice, Laurie, Cecelia, Broome, Jai, Taylor, Kent, Guo, Xiuqing, Sinner, Moritz, von Falkenhausen, Aenne, Kääb, Stefan, Shuldiner, Alan, OConnell, Jeffrey, Lewis, Joshua, Boerwinkle, Eric, Barnes, Kathleen, Chami, Nathalie, Kenny, Eimear, Loos, Ruth, Fornage, Myriam, Hou, Lifang, Lloyd-Jones, Donald, Redline, Susan, Cade, Brian, Psaty, Bruce, Bis, Joshua, Brody, Jennifer, Silverman, Edwin, Yun, Jeong, Qiao, Dandi, Palmer, Nicholette, Freedman, Barry, Bowden, Donald, Cho, Michael, DeMeo, Dawn, Vasan, Ramachandran, Yanek, Lisa, Becker, Lewis, Kardia, Sharon, Peyser, Patricia, He, Jiang, Rienstra, Michiel, Van der Harst, Pim, Kaplan, Robert, Heckbert, Susan, Smith, Nicholas, Wiggins, Kerri, Arnett, Donna, Irvin, Marguerite, Tiwari, Hemant, Cutler, Michael, Knight, Stacey, Muhlestein, J, Correa, Adolfo, Raffield, Laura, Gao, Yan, de Andrade, Mariza, Rotter, Jerome, Rich, Stephen, Tracy, Russell, Konkle, Barbara, Johnsen, Jill, Wheeler, Marsha, Smith, J, Melander, Olle, Nilsson, Peter, Custer, Brian, Duggirala, Ravindranath, Curran, Joanne, Blangero, John, McGarvey, Stephen, Williams, L, Xiao, Shujie, Yang, Mao, Gu, C, Chen, Yii-Der, Lee, Wen-Jane, Kane, John, Pullinger, Clive, Shoemaker, M, Darbar, Dawood, Roden, Dan, Albert, Christine, Kooperberg, Charles, Zhou, Ying, Manson, JoAnn, Desai, Pinkal, Johnson, Andrew, Mathias, Rasika, and Blackwell, Thomas

Subjects
Animals, Humans, Mice, Alleles, Clonal Hematopoiesis, Genome-Wide Association Study, Hematopoiesis, Hematopoietic Stem Cells, Mutation, Promoter Regions, Genetic
Abstract

Mutations in a diverse set of driver genes increase the fitness of haematopoietic stem cells (HSCs), leading to clonal haematopoiesis1. These lesions are precursors for blood cancers2-6, but the basis of their fitness advantage remains largely unknown, partly owing to a paucity of large cohorts in which the clonal expansion rate has been assessed by longitudinal sampling. Here, to circumvent this limitation, we developed a method to infer the expansion rate from data from a single time point. We applied this method to 5,071 people with clonal haematopoiesis. A genome-wide association study revealed that a common inherited polymorphism in the TCL1A promoter was associated with a slower expansion rate in clonal haematopoiesis overall, but the effect varied by driver gene. Those carrying this protective allele exhibited markedly reduced growth rates or prevalence of clones with driver mutations in TET2, ASXL1, SF3B1 and SRSF2, but this effect was not seen in clones with driver mutations in DNMT3A. TCL1A was not expressed in normal or DNMT3A-mutated HSCs, but the introduction of mutations in TET2 or ASXL1 led to the expression of TCL1A protein and the expansion of HSCs in vitro. The protective allele restricted TCL1A expression and expansion of mutant HSCs, as did experimental knockdown of TCL1A expression. Forced expression of TCL1A promoted the expansion of human HSCs in vitro and mouse HSCs in vivo. Our results indicate that the fitness advantage of several commonly mutated driver genes in clonal haematopoiesis may be mediated by TCL1A activation.

Published
2023

14. Genetic Determinants of Electrocardiographic P-Wave Duration and Relation to Atrial Fibrillation

Author

Weng, Lu-Chen, Hall, Amelia Weber, Choi, Seung Hoan, Jurgens, Sean J, Haessler, Jeffrey, Bihlmeyer, Nathan A, Grarup, Niels, Lin, Honghuang, Teumer, Alexander, Li-Gao, Ruifang, Yao, Jie, Guo, Xiuqing, Brody, Jennifer A, Müller-Nurasyid, Martina, Schramm, Katharina, Verweij, Niek, van den Berg, Marten E, van Setten, Jessica, Isaacs, Aaron, Ramírez, Julia, Warren, Helen R, Padmanabhan, Sandosh, Kors, Jan A, de Boer, Rudolf A, van der Meer, Peter, Sinner, Moritz F, Waldenberger, Melanie, Psaty, Bruce M, Taylor, Kent D, Völker, Uwe, Kanters, Jørgen K, Li, Man, Alonso, Alvaro, Perez, Marco V, Vaartjes, Ilonca, Bots, Michiel L, Huang, Paul L, Heckbert, Susan R, Lin, Henry J, Kornej, Jelena, Munroe, Patricia B, van Duijn, Cornelia M, Asselbergs, Folkert W, Stricker, Bruno H, van der Harst, Pim, Kääb, Stefan, Peters, Annette, Sotoodehnia, Nona, Rotter, Jerome I, Mook-Kanamori, Dennis O, Dörr, Marcus, Felix, Stephan B, Linneberg, Allan, Hansen, Torben, Arking, Dan E, Kooperberg, Charles, Benjamin, Emelia J, Lunetta, Kathryn L, Ellinor, Patrick T, and Lubitz, Steven A

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Research, Genetics, Heart Disease, Cardiovascular, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Atrial Fibrillation, Cardiac Myosins, Connectin, Electrocardiography, Genetic Variation, Genome-Wide Association Study, Homeodomain Proteins, Humans, Myosin Heavy Chains, NAV1.8 Voltage-Gated Sodium Channel, Quantitative Trait Loci, Transcription Factors, atrial fibrillation, electrophysiology, exome, genetic, genome-wide association studies, population, Medical Biotechnology, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundThe P-wave duration (PWD) is an electrocardiographic measurement that represents cardiac conduction in the atria. Shortened or prolonged PWD is associated with atrial fibrillation (AF). We used exome-chip data to examine the associations between common and rare variants with PWD.MethodsFifteen studies comprising 64 440 individuals (56 943 European, 5681 African, 1186 Hispanic, 630 Asian) and ≈230 000 variants were used to examine associations with maximum PWD across the 12-lead ECG. Meta-analyses summarized association results for common variants; gene-based burden and sequence kernel association tests examined low-frequency variant-PWD associations. Additionally, we examined the associations between PWD loci and AF using previous AF genome-wide association studies.ResultsWe identified 21 common and low-frequency genetic loci (14 novel) associated with maximum PWD, including several AF loci (TTN, CAND2, SCN10A, PITX2, CAV1, SYNPO2L, SOX5, TBX5, MYH6, RPL3L). The top variants at known sarcomere genes (TTN, MYH6) were associated with longer PWD and increased AF risk. However, top variants at other loci (eg, PITX2 and SCN10A) were associated with longer PWD but lower AF risk.ConclusionsOur results highlight multiple novel genetic loci associated with PWD, and underscore the shared mechanisms of atrial conduction and AF. Prolonged PWD may be an endophenotype for several different genetic mechanisms of AF.

Published
2020

15. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction.

Author

Ntalla, Ioanna, Weng, Lu-Chen, Cartwright, James H, Hall, Amelia Weber, Sveinbjornsson, Gardar, Tucker, Nathan R, Choi, Seung Hoan, Chaffin, Mark D, Roselli, Carolina, Barnes, Michael R, Mifsud, Borbala, Warren, Helen R, Hayward, Caroline, Marten, Jonathan, Cranley, James J, Concas, Maria Pina, Gasparini, Paolo, Boutin, Thibaud, Kolcic, Ivana, Polasek, Ozren, Rudan, Igor, Araujo, Nathalia M, Lima-Costa, Maria Fernanda, Ribeiro, Antonio Luiz P, Souza, Renan P, Tarazona-Santos, Eduardo, Giedraitis, Vilmantas, Ingelsson, Erik, Mahajan, Anubha, Morris, Andrew P, Del Greco M, Fabiola, Foco, Luisa, Gögele, Martin, Hicks, Andrew A, Cook, James P, Lind, Lars, Lindgren, Cecilia M, Sundström, Johan, Nelson, Christopher P, Riaz, Muhammad B, Samani, Nilesh J, Sinagra, Gianfranco, Ulivi, Sheila, Kähönen, Mika, Mishra, Pashupati P, Mononen, Nina, Nikus, Kjell, Caulfield, Mark J, Dominiczak, Anna, Padmanabhan, Sandosh, Montasser, May E, O'Connell, Jeff R, Ryan, Kathleen, Shuldiner, Alan R, Aeschbacher, Stefanie, Conen, David, Risch, Lorenz, Thériault, Sébastien, Hutri-Kähönen, Nina, Lehtimäki, Terho, Lyytikäinen, Leo-Pekka, Raitakari, Olli T, Barnes, Catriona LK, Campbell, Harry, Joshi, Peter K, Wilson, James F, Isaacs, Aaron, Kors, Jan A, van Duijn, Cornelia M, Huang, Paul L, Gudnason, Vilmundur, Harris, Tamara B, Launer, Lenore J, Smith, Albert V, Bottinger, Erwin P, Loos, Ruth JF, Nadkarni, Girish N, Preuss, Michael H, Correa, Adolfo, Mei, Hao, Wilson, James, Meitinger, Thomas, Müller-Nurasyid, Martina, Peters, Annette, Waldenberger, Melanie, Mangino, Massimo, Spector, Timothy D, Rienstra, Michiel, van de Vegte, Yordi J, van der Harst, Pim, Verweij, Niek, Kääb, Stefan, Schramm, Katharina, Sinner, Moritz F, Strauch, Konstantin, Cutler, Michael J, Fatkin, Diane, London, Barry, Olesen, Morten, and Roden, Dan M

Subjects
Humans, Cardiovascular Diseases, Genetic Predisposition to Disease, Electrocardiography, Gene Expression, Multifactorial Inheritance, Quantitative Trait Loci, Female, Male, Arrhythmias, Cardiac, Genetic Variation, Genome-Wide Association Study, Genetic Loci, Endophenotypes, Arrhythmias, Cardiac
Abstract

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

Published
2020

16. Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6

Author

Prins, Bram P, Mead, Timothy J, Brody, Jennifer A, Sveinbjornsson, Gardar, Ntalla, Ioanna, Bihlmeyer, Nathan A, van den Berg, Marten, Bork-Jensen, Jette, Cappellani, Stefania, Van Duijvenboden, Stefan, Klena, Nikolai T, Gabriel, George C, Liu, Xiaoqin, Gulec, Cagri, Grarup, Niels, Haessler, Jeffrey, Hall, Leanne M, Iorio, Annamaria, Isaacs, Aaron, Li-Gao, Ruifang, Lin, Honghuang, Liu, Ching-Ti, Lyytikäinen, Leo-Pekka, Marten, Jonathan, Mei, Hao, Müller-Nurasyid, Martina, Orini, Michele, Padmanabhan, Sandosh, Radmanesh, Farid, Ramirez, Julia, Robino, Antonietta, Schwartz, Molly, van Setten, Jessica, Smith, Albert V, Verweij, Niek, Warren, Helen R, Weiss, Stefan, Alonso, Alvaro, Arnar, David O, Bots, Michiel L, de Boer, Rudolf A, Dominiczak, Anna F, Eijgelsheim, Mark, Ellinor, Patrick T, Guo, Xiuqing, Felix, Stephan B, Harris, Tamara B, Hayward, Caroline, Heckbert, Susan R, Huang, Paul L, Jukema, JW, Kähönen, Mika, Kors, Jan A, Lambiase, Pier D, Launer, Lenore J, Li, Man, Linneberg, Allan, Nelson, Christopher P, Pedersen, Oluf, Perez, Marco, Peters, Annette, Polasek, Ozren, Psaty, Bruce M, Raitakari, Olli T, Rice, Kenneth M, Rotter, Jerome I, Sinner, Moritz F, Soliman, Elsayed Z, Spector, Tim D, Strauch, Konstantin, Thorsteinsdottir, Unnur, Tinker, Andrew, Trompet, Stella, Uitterlinden, André, Vaartjes, Ilonca, van der Meer, Peter, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Wilson, James G, Xie, Zhijun, Asselbergs, Folkert W, Dörr, Marcus, van Duijn, Cornelia M, Gasparini, Paolo, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Hansen, Torben, Kääb, Stefan, Kanters, Jørgen K, Kooperberg, Charles, Lehtimäki, Terho, Lin, Henry J, Lubitz, Steven A, Mook-Kanamori, Dennis O, Conti, Francesco J, Newton-Cheh, Christopher H, Rosand, Jonathan, Rudan, Igor, and Samani, Nilesh J

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Human Genome, Heart Disease, Cardiovascular, 2.1 Biological and endogenous factors, Aetiology, ADAMTS Proteins, Animals, Black People, Connexin 43, Electrocardiography, Exome, Female, Gene Expression, Gene Expression Profiling, Genetic Loci, Genome-Wide Association Study, Heart Conduction System, Humans, Male, Mice, Middle Aged, Myocardium, Open Reading Frames, Polymorphism, Single Nucleotide, White People, Exome Sequencing, Exome chip, Conduction, ADAMTS6, Meta-analysis, Environmental Sciences, Information and Computing Sciences, Bioinformatics
Abstract

BackgroundGenome-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.ResultsHere, 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.ConclusionsOur approach identifies novel coding and non-coding variants underlying ventricular depolarization and provides a possible mechanism for the ADAMTS6-associated conduction changes.

Published
2018

17. A comprehensive evaluation of the genetic architecture of sudden cardiac arrest

Author

Ashar, Foram N, Mitchell, Rebecca N, Albert, Christine M, Newton-Cheh, Christopher, Brody, Jennifer A, Müller-Nurasyid, Martina, Moes, Anna, Meitinger, Thomas, Mak, Angel, Huikuri, Heikki, Junttila, M Juhani, Goyette, Philippe, Pulit, Sara L, Pazoki, Raha, Tanck, Michael W, Blom, Marieke T, Zhao, XiaoQing, Havulinna, Aki S, Jabbari, Reza, Glinge, Charlotte, Tragante, Vinicius, Escher, Stefan A, Chakravarti, Aravinda, Ehret, Georg, Coresh, Josef, Li, Man, Prineas, Ronald J, Franco, Oscar H, Kwok, Pui-Yan, Lumley, Thomas, Dumas, Florence, McKnight, Barbara, Rotter, Jerome I, Lemaitre, Rozenn N, Heckbert, Susan R, O’Donnell, Christopher J, Hwang, Shih-Jen, Tardif, Jean-Claude, VanDenburgh, Martin, Uitterlinden, André G, Hofman, Albert, Stricker, Bruno HC, de Bakker, Paul IW, Franks, Paul W, Jansson, Jan-Hakan, Asselbergs, Folkert W, Halushka, Marc K, Maleszewski, Joseph J, Tfelt-Hansen, Jacob, Engstrøm, Thomas, Salomaa, Veikko, Virmani, Renu, Kolodgie, Frank, Wilde, Arthur AM, Tan, Hanno L, Bezzina, Connie R, Eijgelsheim, Mark, Rioux, John D, Jouven, Xavier, Kääb, Stefan, Psaty, Bruce M, Siscovick, David S, Arking, Dan E, and Sotoodehnia, Nona

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Prevention, Heart Disease, Human Genome, Genetics, Clinical Research, Heart Disease - Coronary Heart Disease, Cardiovascular, 2.1 Biological and endogenous factors, Aetiology, Good Health and Well Being, Arrhythmias, Cardiac, Body Mass Index, Coronary Artery Disease, Death, Sudden, Cardiac, Female, Genome-Wide Association Study, Heart Conduction System, Humans, Male, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Sex Factors, Sudden cardiac arrest, Genome-wide association study, Mendelian randomization, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

AimsSudden 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 resultsWe 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.ConclusionsOur 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.

Published
2018

18. Multi-ethnic genome-wide association study for atrial fibrillation

Author

Roselli, Carolina, Chaffin, Mark D, Weng, Lu-Chen, Aeschbacher, Stefanie, Ahlberg, Gustav, Albert, Christine M, Almgren, Peter, Alonso, Alvaro, Anderson, Christopher D, Aragam, Krishna G, Arking, Dan E, Barnard, John, Bartz, Traci M, Benjamin, Emelia J, Bihlmeyer, Nathan A, Bis, Joshua C, Bloom, Heather L, Boerwinkle, Eric, Bottinger, Erwin B, Brody, Jennifer A, Calkins, Hugh, Campbell, Archie, Cappola, Thomas P, Carlquist, John, Chasman, Daniel I, Chen, Lin Y, Chen, Yii-Der Ida, Choi, Eue-Keun, Choi, Seung Hoan, Christophersen, Ingrid E, Chung, Mina K, Cole, John W, Conen, David, Cook, James, Crijns, Harry J, Cutler, Michael J, Damrauer, Scott M, Daniels, Brian R, Darbar, Dawood, Delgado, Graciela, Denny, Joshua C, Dichgans, Martin, Dörr, Marcus, Dudink, Elton A, Dudley, Samuel C, Esa, Nada, Esko, Tonu, Eskola, Markku, Fatkin, Diane, Felix, Stephan B, Ford, Ian, Franco, Oscar H, Geelhoed, Bastiaan, Grewal, Raji P, Gudnason, Vilmundur, Guo, Xiuqing, Gupta, Namrata, Gustafsson, Stefan, Gutmann, Rebecca, Hamsten, Anders, Harris, Tamara B, Hayward, Caroline, Heckbert, Susan R, Hernesniemi, Jussi, Hocking, Lynne J, Hofman, Albert, Horimoto, Andrea RVR, Huang, Jie, Huang, Paul L, Huffman, Jennifer, Ingelsson, Erik, Ipek, Esra Gucuk, Ito, Kaoru, Jimenez-Conde, Jordi, Johnson, Renee, Jukema, J Wouter, Kääb, Stefan, Kähönen, Mika, Kamatani, Yoichiro, Kane, John P, Kastrati, Adnan, Kathiresan, Sekar, Katschnig-Winter, Petra, Kavousi, Maryam, Kessler, Thorsten, Kietselaer, Bas L, Kirchhof, Paulus, Kleber, Marcus E, Knight, Stacey, Krieger, Jose E, Kubo, Michiaki, Launer, Lenore J, Laurikka, Jari, Lehtimäki, Terho, Leineweber, Kirsten, Lemaitre, Rozenn N, Li, Man, Lim, Hong Euy, Lin, Henry J, and Lin, Honghuang

Subjects
Biological Sciences, Genetics, Heart Disease, Cardiovascular, Human Genome, Biotechnology, 2.1 Biological and endogenous factors, Aetiology, Atrial Fibrillation, Case-Control Studies, Ethnicity, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Quantitative Trait Loci, Transcriptome, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Atrial fibrillation (AF) affects more than 33 million individuals worldwide1 and has a complex heritability2. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF.

Published
2018

19. ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals

Author

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

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Heart Disease, Prevention, Genetics, Cardiovascular, 2.1 Biological and endogenous factors, Aetiology, Antiporters, DNA-Binding Proteins, Electrocardiography, Exome, Genome-Wide Association Study, Humans, Long QT Syndrome, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Receptors, Calcium-Sensing, Transcription Factors, arrhythmias, cardiac, death, sudden, cardiac, genetics, genome, humans, Medical Biotechnology, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundQT 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 resultsWe 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.ConclusionsOur 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.

Published
2018

20. Genetic Interactions with Age, Sex, Body Mass Index, and Hypertension in Relation to Atrial Fibrillation: The AFGen Consortium

Author

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

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Heart Disease, Cardiovascular, Prevention, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Age Factors, Aged, Atrial Fibrillation, Body Mass Index, Chromosomes, Human, Pair 4, Epistasis, Genetic, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hypertension, Male, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Reproducibility of Results, Risk Factors, Sex Characteristics
Abstract

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

Published
2017

21. Gene-gene Interaction Analyses for Atrial Fibrillation

Author

Lin, Honghuang, Mueller-Nurasyid, Martina, Smith, Albert V, Arking, Dan E, Barnard, John, Bartz, Traci M, Lunetta, Kathryn L, Lohman, Kurt, Kleber, Marcus E, Lubitz, Steven A, Geelhoed, Bastiaan, Trompet, Stella, Niemeijer, Maartje N, Kacprowski, Tim, Chasman, Daniel I, Klarin, Derek, Sinner, Moritz F, Waldenberger, Melanie, Meitinger, Thomas, Harris, Tamara B, Launer, Lenore J, Soliman, Elsayed Z, Chen, Lin Y, Smith, Jonathan D, Van Wagoner, David R, Rotter, Jerome I, Psaty, Bruce M, Xie, Zhijun, Hendricks, Audrey E, Ding, Jingzhong, Delgado, Graciela E, Verweij, Niek, van der Harst, Pim, Macfarlane, Peter W, Ford, Ian, Hofman, Albert, Uitterlinden, André, Heeringa, Jan, Franco, Oscar H, Kors, Jan A, Weiss, Stefan, Völzke, Henry, Rose, Lynda M, Natarajan, Pradeep, Kathiresan, Sekar, Kääb, Stefan, Gudnason, Vilmundur, Alonso, Alvaro, Chung, Mina K, Heckbert, Susan R, Benjamin, Emelia J, Liu, Yongmei, März, Winfried, Rienstra, Michiel, Jukema, J Wouter, Stricker, Bruno H, Dörr, Marcus, Albert, Christine M, and Ellinor, Patrick T

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Heart Disease, Human Genome, Cardiovascular, Aetiology, 2.1 Biological and endogenous factors, Aged, Atrial Fibrillation, Cohort Studies, Epistasis, Genetic, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels, Male, Membrane Transport Proteins, Middle Aged, Multivariate Analysis, Muscle Proteins, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Potassium Channels
Abstract

Atrial fibrillation (AF) is a heritable disease that affects more than thirty million individuals worldwide. Extensive efforts have been devoted to the study of genetic determinants of AF. The objective of our study is to examine the effect of gene-gene interaction on AF susceptibility. We performed a large-scale association analysis of gene-gene interactions with AF in 8,173 AF cases, and 65,237 AF-free referents collected from 15 studies for discovery. We examined putative interactions between genome-wide SNPs and 17 known AF-related SNPs. The top interactions were then tested for association in an independent cohort for replication, which included more than 2,363 AF cases and 114,746 AF-free referents. One interaction, between rs7164883 at the HCN4 locus and rs4980345 at the SLC28A1 locus, was found to be significantly associated with AF in the discovery cohorts (interaction OR = 1.44, 95% CI: 1.27-1.65, P = 4.3 × 10-8). Eight additional gene-gene interactions were also marginally significant (P

Published
2016

22. Targeted sequencing in candidate genes for atrial fibrillation: The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Targeted Sequencing Study

Author

Lin, Honghuang, Sinner, Moritz F, Brody, Jennifer A, Arking, Dan E, Lunetta, Kathryn L, Rienstra, Michiel, Lubitz, Steven A, Magnani, Jared W, Sotoodehnia, Nona, McKnight, Barbara, McManus, David D, Boerwinkle, Eric, Psaty, Bruce M, Rotter, Jerome I, Bis, Joshua C, Gibbs, Richard A, Muzny, Donna, Kovar, Christie L, Morrison, Alanna C, Gupta, Mayetri, Folsom, Aaron R, Kääb, Stefan, Heckbert, Susan R, Alonso, Alvaro, Ellinor, Patrick T, Benjamin, Emelia J, and Group, on behalf of the CHARGE Atrial Fibrillation Working

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Human Genome, Cardiovascular, Biotechnology, Aging, Genetics, Heart Disease, Aetiology, 2.1 Biological and endogenous factors, Aged, Atrial Fibrillation, Female, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Homeodomain Proteins, Humans, Linkage Disequilibrium, Male, Middle Aged, Polymorphism, Single Nucleotide, Receptors, Interleukin-6, Arrhythmia, Atrial fibrillation, Epidemiology, CHARGE Atrial Fibrillation Working Group, Biomedical Engineering, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundGenome-wide association studies (GWAS) have identified common genetic variants that predispose to atrial fibrillation (AF). It is unclear whether rare and low-frequency variants in genes implicated by such GWAS confer additional risk of AF.ObjectiveTo study the association of genetic variants with AF at GWAS top loci.MethodsIn the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Targeted Sequencing Study, we selected and sequenced 77 target gene regions from GWAS loci of complex diseases or traits, including 4 genes hypothesized to be related to AF (PRRX1, CAV1, CAV2, and ZFHX3). Sequencing was performed in participants with (n = 948) and without (n = 3330) AF from the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Massachusetts General Hospital.ResultsOne common variant (rs11265611; P = 1.70 × 10(-6)) intronic to IL6R (interleukin-6 receptor gene) was significantly associated with AF after Bonferroni correction (odds ratio 0.70; 95% confidence interval 0.58-0.85). The variant was not genotyped or imputed by prior GWAS, but it is in linkage disequilibrium (r(2) = .69) with the single-nucleotide polymorphism, with the strongest association with AF so far at this locus (rs4845625). In the rare variant joint analysis, damaging variants within the PRRX1 region showed significant association with AF after Bonferroni correction (P = .01).ConclusionsWe identified 1 common single-nucleotide polymorphism and 1 gene region that were significantly associated with AF. Future sequencing efforts with larger sample sizes and more comprehensive genome coverage are anticipated to identify additional AF-related variants.

Published
2014

23. Genome-wide association analyses identify novel Brugada syndrome risk loci and highlight a new mechanism of sodium channel regulation in disease susceptibility

Author

Barc, Julien, Tadros, Rafik, Glinge, Charlotte, Chiang, David Y., Jouni, Mariam, Simonet, Floriane, Jurgens, Sean J., Baudic, Manon, Nicastro, Michele, Potet, Franck, Offerhaus, Joost A., Walsh, Roddy, Choi, Seung Hoan, Verkerk, Arie O., Mizusawa, Yuka, Anys, Soraya, Minois, Damien, Arnaud, Marine, Duchateau, Josselin, Wijeyeratne, Yanushi D., Muir, Alison, Papadakis, Michael, Castelletti, Silvia, Torchio, Margherita, Ortuño, Cristina Gil, Lacunza, Javier, Giachino, Daniela F., Cerrato, Natascia, Martins, Raphaël P., Campuzano, Oscar, Van Dooren, Sonia, Thollet, Aurélie, Kyndt, Florence, Mazzanti, Andrea, Clémenty, Nicolas, Bisson, Arnaud, Corveleyn, Anniek, Stallmeyer, Birgit, Dittmann, Sven, Saenen, Johan, Noël, Antoine, Honarbakhsh, Shohreh, Rudic, Boris, Marzak, Halim, Rowe, Matthew K., Federspiel, Claire, Le Page, Sophie, Placide, Leslie, Milhem, Antoine, Barajas-Martinez, Hector, Beckmann, Britt-Maria, Krapels, Ingrid P., Steinfurt, Johannes, Winkel, Bo Gregers, Jabbari, Reza, Shoemaker, Moore B., Boukens, Bas J., Škorić-Milosavljević, Doris, Bikker, Hennie, Manevy, Federico, Lichtner, Peter, Ribasés, Marta, Meitinger, Thomas, Müller-Nurasyid, Martina, Strauch, Konstantin, Peters, Annette, Schulz, Holger, Schwettmann, Lars, Leidl, Reiner, Heier, Margit, Veldink, Jan H., van den Berg, Leonard H., Van Damme, Philip, Cusi, Daniele, Lanzani, Chiara, Rigade, Sidwell, Charpentier, Eric, Baron, Estelle, Bonnaud, Stéphanie, Lecointe, Simon, Donnart, Audrey, Le Marec, Hervé, Chatel, Stéphanie, Karakachoff, Matilde, Bézieau, Stéphane, London, Barry, Tfelt-Hansen, Jacob, Roden, Dan, Odening, Katja E., Cerrone, Marina, Chinitz, Larry A., Volders, Paul G., van de Berg, Maarten P., Laurent, Gabriel, Faivre, Laurence, Antzelevitch, Charles, Kääb, Stefan, Arnaout, Alain Al, Dupuis, Jean-Marc, Pasquie, Jean-Luc, Billon, Olivier, Roberts, Jason D., Jesel, Laurence, Borggrefe, Martin, Lambiase, Pier D., Mansourati, Jacques, Loeys, Bart, Leenhardt, Antoine, Guicheney, Pascale, Maury, Philippe, Schulze-Bahr, Eric, Robyns, Tomas, Breckpot, Jeroen, Babuty, Dominique, Priori, Silvia G., Napolitano, Carlo, Defaye, Pascal, Anselme, Frédéric, Darmon, Jean Philippe, Wiart, François, de Asmundis, Carlo, Brugada, Pedro, Brugada, Ramon, Arbelo, Elena, Brugada, Josep, Mabo, Philippe, Behar, Nathalie, Giustetto, Carla, Molina, Maria Sabater, Gimeno, Juan R., Hasdemir, Can, Schwartz, Peter J., Crotti, Lia, McKeown, Pascal P., Sharma, Sanjay, Behr, Elijah R., Haissaguerre, Michel, Sacher, Frédéric, Rooryck, Caroline, Tan, Hanno L., Remme, Carol A., Postema, Pieter G., Delmar, Mario, Ellinor, Patrick T., Lubitz, Steven A., Gourraud, Jean-Baptiste, Tanck, Michael W., George, Alfred L., MacRae, Calum A., Burridge, Paul W., Dina, Christian, Probst, Vincent, Wilde, Arthur A., Schott, Jean-Jacques, Redon, Richard, Bezzina, Connie R., KORA-Study Group, Nantes Referral Ctr Inherited Card, unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - UFR de Médecine et des Techniques Médicales (Nantes Univ - UFR MEDECINE), Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] (CRCTB), Université Bordeaux Segalen - Bordeaux 2-CHU Bordeaux [Bordeaux]-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Santé - François Bonamy, Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Santé de l'Université de Nantes (IRS-UN)-Centre hospitalier universitaire de Nantes (CHU Nantes), Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière] (IHU ICAN), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire Maladies Rares: Génétique et Métabolisme (Bordeaux) (U1211 INSERM/MRGM), Université de Bordeaux (UB)-Groupe hospitalier Pellegrin-Institut National de la Santé et de la Recherche Médicale (INSERM), Amsterdam UMC - Amsterdam University Medical Center, The MINE study (J.H.V.) has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 772376—EScORIAL). The collaboration project is cofunded by the PPP Allowance made available by Health~Holland, Top Sector Life Sciences & Health, to stimulate public–private partnerships. This study makes use of data generated by the Wellcome Trust Case-Control Consortium. A full list of the investigators who contributed to the generation of the data is available from www.wtccc.org.uk. Funding for the project was provided by the Wellcome Trust under award 076113, 085475 and 090355. The KORA research platform (KORA, Cooperative Research in the Region of Augsburg) was initiated and financed by the Helmholtz Zentrum München—German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research and by the State of Bavaria. Furthermore, KORA research was supported within the Munich Center of Health Sciences (MC Health), Ludwig-Maximilians-Universität, as part of LMUinnovativ. J. Barc is supported by the research program Etoiles montantes des Pays de la Loire REGIOCARD RPH081-U1087-REG-PDL, ANR JCJC LEARN (R21006NN, RPV21014NNA) and by the H2020-MSCA-IF-2014 Program of the European Commission (RISTRAD-661617). R.T. is supported by the Canadian Heart Rhythm Society’s George Mines Award, the European Society of Cardiology research award, and the Philippa and Marvin Carsley Cardiology Chair. D.Y.C. is supported by Fondation Leducq and National Institutes of Health (NIH) NHGRI T32 (no. 1T32HG010464-01). M. Baudic was supported by IRP—VERACITIES—New Mechanisms for VEntricular ARrhythmia And CardIomeTabolic DIseasES, an I-SITE NExT health and engineering initiative (Ecole Centrale and Nantes University) and by the IRP—GAINES—Genetic Architecture IN cardiovascular disEaSes funded by INSERM and CNRS. R.W. is supported by an Amsterdam Cardiovascular Sciences fellowship. S.C. is supported by the NHLBI BioData Catalyst Fellows Program. C.A.R. is supported by Fondation Leducq, the Dutch Heart Foundation (CVON PREDICT2) and the Innovational Research Incentives Scheme Vidi grant from the Netherlands Organisation for Health Research and Development (ZonMw, 91714371). Y.D.W. is supported by the Robert Lancaster Memorial Fund. M.P. is supported by Cardiac Risk in the Young. S.V.D. is supported by Wetenschappelijk Fonds Willy Gepts VUB-UZ Brussel, project ‘Unravelling the molecular genetic pathways of Brugada Syndrome by cardiomics research’, VUB IRP project ‘IMAGica: an Integrative personalized Medical Approach for Genetic diseases, Inherited Cardia Arrhythmias as a model’ and Innoviris BRIDGE 2017, project ‘IGenCare: Integrated Personalised Medical Genomics Care Solution for Patients with Rare Genetic Diseases’. S.H. is supported by the Barts BRC. B.R. is supported by the DZHK (German Centre for Cardiovascular Research) and by the BMBF (German Ministry of Education and Research). B.G.W. is supported by the Danish Heart Foundation. M.B.S. is supported by K23HL127704. Project MinE Belgium was supported by a grant from IWT (no. 140935), the ALS Liga België, the National Lottery of Belgium and the KU Leuven Opening the Future Fund. D.C. and C.L. are supported by HYPERGENES (HEALTH-F4-2007). D.R. is supported by R01 HL149826, P50 GM115305. P.J.S. acknowledges the support of Leducq Foundation for Cardiovascular Research grant 18CVD05. P.V.D. is supported by the Netherlands CardioVascular Research Initiative (CVON PREDICT2). C.A. is supported by NIH HL47678 and HL138103, W.W. Smith Charitable Trust and Wistar Morris Fund. M.B. is Supported by the DZHK (German Centre for Cardiovascular Research) and by the BMBF (German Ministry of Education and Research). P.D.L. is supported by UCL/UCLH Biomedicine NIHR and Barts BRC. B.L. is supported by GOA—Antigone 33933. J.B. is supported by a Senior Clinical Fellowship of the Flemish Science Foundation (FWO). E.B. is supported by the British Heart Foundation including BHF Clinical Research Training Fellowship (FS/11/71/28918: Future diagnostic role and new genetic loci in SADS), Cardiac Risk in the Young and Robert Lancaster Memorial fund sponsored by McColl’s Ltd. Retail Group. H.L.T. is supported by the European Union’s Horizon 2020 research and innovation program under acronym ESCAPE-NET, registered under grant agreement no. 733381, and the Dutch Heart Foundation (CVON RESCUED and PREDICT2 projects). M.D. is supported by NIH-RO1 HL134328. P.T.E. was supported by the Fondation Leducq (14CVD01), the NIH (1RO1HL092577, R01HL128914, K24HL105780), the American Heart Association (18SFRN34110082) and by a research grant from Bayer AG to the Broad Institute. S.A.L. is supported by NIH grant 1R01HL139731 and American Heart Association 18SFRN34250007. J.-B.G. received a grant from the Fédération Française de Cardiologie (PREVENT project). A.L.G. is supported by the Fondation Leducq. C.A.M.R. is supported by the Leducq Foundation and Burroughs Wellecome Fund. A.A.W. is supported by the Dutch Heart Foundation (CVON PREDICT2 project). J.-J.S. is supported by the Fondation pour la Recherche Médicale (DEQ20140329545). R.R. and P.G. are supported by the National Agency for Research (ANR-GENSUD-14-CE10-0001). C.R.B. is supported by the Dutch Heart Foundation (CVON PREDICT2 project), the Netherlands Organization for Scientific Research (VICI fellowship, 016.150.610) and Fondation Leducq (17CVD02)., Barc, J, Tadros, R, Glinge, C, Chiang, D, Jouni, M, Simonet, F, Jurgens, S, Baudic, M, Nicastro, M, Potet, F, Offerhaus, J, Walsh, R, Hoan Choi, S, Verkerk, A, Mizusawa, Y, Anys, S, Minois, D, Arnaud, M, Duchateau, J, Wijeyeratne, Y, Muir, A, Papadakis, M, Castelletti, S, Torchio, M, Gil Ortuño, C, Lacunza, J, Giachino, D, Cerrato, N, Martins, R, Campuzano, O, Van Dooren, S, Thollet, A, Kyndt, F, Mazzanti, A, Clémenty, N, Bisson, A, Corveleyn, A, Stallmeyer, B, Dittmann, S, Saenen, J, Noël, A, Honarbakhsh, S, Rudic, B, Marzak, H, Rowe, M, Federspiel, C, Le Page, S, Placide, L, Milhem, A, Barajas-Martinez, H, Beckmann, B, Krapels, I, Steinfurt, J, Gregers Winkel, B, Jabbari, R, Shoemaker, M, Boukens, B, Škorić-Milosavljević, D, Bikker, H, Manevy, F, Lichtner, P, Ribasés, M, Meitinger, T, Müller-Nurasyid, M, Group, K, Veldink, J, van den Berg, L, Van Damme, P, Cusi, D, Lanzani, C, Rigade, S, Charpentier, E, Baron, E, Bonnaud, S, Lecointe, S, Donnart, A, Le Marec, H, Chatel, S, Karakachoff, M, Bézieau, S, London, B, Tfelt-Hansen, J, Roden, D, Odening, K, Cerrone, M, Chinitz, L, Volders, P, van de Berg, M, Laurent, G, Faivre, L, Antzelevitch, C, Kääb, S, Al Arnaout, A, Dupuis, J, Pasquie, J, Billon, O, Roberts, J, Jesel, L, Borggrefe, M, Lambiase, P, Mansourati, J, Loeys, B, Leenhardt, A, Guicheney, P, Maury, P, Schulze-Bahr, E, Robyns, T, Breckpot, J, Babuty, D, Priori, S, Napolitano, C, Referral Center for inherited cardiac arrhythmia, N, de Asmundis, C, Brugada, P, Brugada, R, Arbelo, E, Brugada, J, Mabo, P, Behar, N, Giustetto, C, Sabater Molina, M, Gimeno, J, Hasdemir, C, Schwartz, P, Crotti, L, Mckeown, P, Sharma, S, Behr, E, Haissaguerre, M, Sacher, F, Rooryck, C, Tan, H, Remme, C, Postema, P, Delmar, M, Ellinor, P, Lubitz, S, Gourraud, J, Tanck, M, L. George Jr., A, Macrae, C, Burridge, P, Dina, C, Probst, V, Wilde, A, Schott, J, Redon &amp, R, Bezzina, C, Cardiology, Graduate School, Medical Biology, ACS - Amsterdam Cardiovascular Sciences, ACS - Heart failure & arrhythmias, Human Genetics, ACS - Pulmonary hypertension & thrombosis, ARD - Amsterdam Reproduction and Development, APH - Methodology, Epidemiology and Data Science, MUMC+: DA KG Polikliniek (9), RS: Carim - H02 Cardiomyopathy, Cardiologie, MUMC+: MA Med Staf Spec Cardiologie (9), RS: Carim - H04 Arrhythmogenesis and cardiogenetics, and Cardiovascular Centre (CVC)

Subjects
EXPRESSION, [SDV]Life Sciences [q-bio], DIAGNOSIS, GUIDELINES, ANNOTATION, Article, NAV1.5 Voltage-Gated Sodium Channel, Young Adult, MANAGEMENT, Genetics, GWAS, Humans, Genetic Predisposition to Disease, 610 Medicine & health, SCN5A, Alleles, Brugada Syndrome, Allele, [SDV.GEN]Life Sciences [q-bio]/Genetics, HERITABILITY, Microtubule-Associated Protein, Brugada Syndrome, GWAS, SNPs, COMMON VARIANTS, Mutation, Disease Susceptibility, Human medicine, ENRICHMENT, Microtubule-Associated Proteins, SNPs, Human, GENERATION, Genome-Wide Association Study
Abstract

Brugada syndrome (BrS) is a cardiac arrhythmia disorder associated with sudden death in young adults. With the exception of SCN5A, encoding the cardiac sodium channel Na(V)1.5, susceptibility genes remain largely unknown. Here we performed a genome-wide association meta-analysis comprising 2,820 unrelated cases with BrS and 10,001 controls, and identified 21 association signals at 12 loci (10 new). Single nucleotide polymorphism (SNP)-heritability estimates indicate a strong polygenic influence. Polygenic risk score analyses based on the 21 susceptibility variants demonstrate varying cumulative contribution of common risk alleles among different patient subgroups, as well as genetic associations with cardiac electrical traits and disorders in the general population. The predominance of cardiac transcription factor loci indicates that transcriptional regulation is a key feature of BrS pathogenesis. Furthermore, functional studies conducted on MAPRE2, encoding the microtubule plus-end binding protein EB2, point to microtubule-related trafficking effects on Na(V)1.5 expression as a new underlying molecular mechanism. Taken together, these findings broaden our understanding of the genetic architecture of BrS and provide new insights into its molecular underpinnings. Genome-wide association analyses identify new susceptibility loci for Brugada syndrome. Functional studies implicate microtubule-related trafficking effects on sodium channel expression as an underlying molecular mechanism., European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program [772376-EScORIAL]; Health~Holland; Top Sector Life Sciences Health; Wellcome Trust [076113, 085475, 090355]; Helmholtz Zentrum Munchen-German Research Center for Environmental Health - German Federal Ministry of Education and Research; State of Bavaria; Munich Center of Health Sciences (MC Health), Ludwig-Maximilians-Universitat, as part of LMUinnovativ; research program Etoiles montantes des Pays de la Loire [REGIOCARD RPH081-U1087-REG-PDL]; ANR JCJC LEARN [R21006NN, RPV21014NNA]; H2020-MSCA-IF-2014 Program of the European Commission [RISTRAD-661617]; Canadian Heart Rhythm Society's George Mines Award; European Society of Cardiology research award; Philippa and Marvin Carsley Cardiology Chair; Fondation Leducq; National Institutes of Health (NIH) NHGRI T32 [1T32HG010464-01]; IRP-VERACITIES-New Mechanisms for VEntricular ARrhythmia And CardIomeTabolic DIseasES an I-SITE NExT health and engineering initiative (Ecole Centrale); IRP-VERACITIES-New Mechanisms for VEntricular ARrhythmia And CardIomeTabolic DIseasES an I-SITE NExT health and engineering initiative (Nantes University); IRP-GAINES-Genetic Architecture IN cardiovascular disEaSes - INSERM; CNRS; Amsterdam Cardiovascular Sciences fellowship; NHLBI BioData Catalyst Fellows Program; Dutch Heart Foundation [CVON PREDICT2]; Innovational Research Incentives Scheme Vidi grant from the Netherlands Organisation for Health Research and Development (ZonMw) [91714371]; Robert Lancaster Memorial Fund; Cardiac Risk in the Young; Wetenschappelijk Fonds Willy Gepts VUB-UZ Brussel; VUB IRP project `IMAGica: an Integrative personalized Medical Approach for Genetic diseases, Inherited Cardia Arrhythmias as a model' and Innoviris BRIDGE 2017; project `IGenCare: Integrated Personalised Medical Genomics Care Solution for Patients with Rare Genetic Diseases'; Barts BRC; DZHK (German Centre for Cardiovascular Research); BMBF (German Ministry of Education and Research); Danish Heart Foundation; IWT [140935]; ALS Liga Belgie; National Lottery of Belgium; KU Leuven Opening the Future Fund; HYPERGENES [HEALTH-F4-2007]; Leducq Foundation for Cardiovascular Research grant [18CVD05]; Netherlands CardioVascular Research Initiative [CVON PREDICT2]; NIH [HL47678, HL138103, 1RO1HL092577, R01HL128914, K24HL105780]; W.W. Smith Charitable Trust; Wistar Morris Fund; GOA-Antigone [33933]; Senior Clinical Fellowship of the Flemish Science Foundation (FWO); British Heart Foundation; BHF Clinical Research Training Fellowship [FS/11/71/28918]; Cardiac Risk in the Young and Robert Lancaster Memorial fund - McColl's Ltd. Retail Group; European Union's Horizon 2020 research and innovation program under acronym ESCAPE-NET [733381]; Dutch Heart Foundation; Fondation Leducq [14CVD01, 17CVD02]; American Heart Association [18SFRN34110082, 18SFRN34250007]; Bayer AG; NIH grant [1R01HL139731]; Federation Francaise de Cardiologie (PREVENT project); Leducq Foundation; Burroughs Wellecome Fund; Fondation pour la Recherche Medicale [DEQ20140329545]; National Agency for Research [ANR-GENSUD-14-CE10-0001]; Netherlands Organization for Scientific Research (VICI fellowship) [016.150.610]; [K23HL127704]; [R01 HL149826]; [P50 GM115305]; [NIH-RO1 HL134328], We are greatly indebted to the patients included in the study. We thank V. Cotard, C. Goutsmedt, M.-F. Le Cunff and N. Bourgeais for assistance in patient recruitment and L. Beekman for his technical support. We thank the biological resource centre for biobanking (CHU Nantes, Nantes Universite, Centre de ressources biologiques (BB0033-00040), F-44000 Nantes, France) for applying the following guidelines68. We are most grateful to the Genomics and Bioinformatics Core Facility of Nantes (GenoBiRD, Biogenouest, IFB) for its technical support. This research has been conducted using the UK Biobank resource; we are grateful to UK Biobank participants. The MINE study (J.H.V.) has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement no. 772376-EScORIAL). The collaboration project is cofunded by the PPP Allowance made available by Health~Holland, Top Sector Life Sciences & Health, to stimulate public-private partnerships. This study makes use of data generated by the Wellcome Trust Case-Control Consortium. A full list of the investigators who contributed to the generation of the data is available from www.wtccc.org.uk.Funding for the project was provided by the Wellcome Trust under award 076113, 085475 and 090355. The KORA research platform (KORA, Cooperative Research in the Region of Augsburg) was initiated and financed by the Helmholtz Zentrum Munchen-German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research and by the State of Bavaria. Furthermore, KORA research was supported within the Munich Center of Health Sciences (MC Health), Ludwig-Maximilians-Universitat, as part of LMUinnovativ. J. Barc is supported by the research program Etoiles montantes des Pays de la Loire REGIOCARD RPH081-U1087-REG-PDL, ANR JCJC LEARN (R21006NN, RPV21014NNA) and by the H2020-MSCA-IF-2014 Program of the European Commission (RISTRAD-661617). R.T. is supported by the Canadian Heart Rhythm Society's George Mines Award, the European Society of Cardiology research award, and the Philippa and Marvin Carsley Cardiology Chair. D.Y.C. is supported by Fondation Leducq and National Institutes of Health (NIH) NHGRI T32 (no. 1T32HG010464-01). M. Baudic was supported by IRP-VERACITIES-New Mechanisms for VEntricular ARrhythmia And CardIomeTabolic DIseasES, an I-SITE NExT health and engineering initiative (Ecole Centrale and Nantes University) and by the IRP-GAINES-Genetic Architecture IN cardiovascular disEaSes funded by INSERM and CNRS. R.W. is supported by an Amsterdam Cardiovascular Sciences fellowship. S.C. is supported by the NHLBI BioData Catalyst Fellows Program. C.A.R. is supported by Fondation Leducq, the Dutch Heart Foundation (CVON PREDICT2) and the Innovational Research Incentives Scheme Vidi grant from the Netherlands Organisation for Health Research and Development (ZonMw; 91714371). Y.D.W. is supported by the Robert Lancaster Memorial Fund. M.P. is supported by Cardiac Risk in the Young. S.V.D. is supported by Wetenschappelijk Fonds Willy Gepts VUB-UZ Brussel, project `Unravelling the molecular genetic pathways of Brugada Syndrome by cardiomics research', VUB IRP project `IMAGica: an Integrative personalized Medical Approach for Genetic diseases, Inherited Cardia Arrhythmias as a model' and Innoviris BRIDGE 2017, project `IGenCare: Integrated Personalised Medical Genomics Care Solution for Patients with Rare Genetic Diseases'. S.H. is supported by the Barts BRC. B.R.; is supported by the DZHK (German Centre for Cardiovascular Research) and by the BMBF (German Ministry of Education and Research). B.G.W. is supported by the Danish Heart Foundation. M.B.S. is supported by K23HL127704. Project MinE Belgium was supported by a grant from IWT (no. 140935), the ALS Liga Belgie, the National Lottery of Belgium and the KU Leuven Opening the Future Fund. D.C. and C.L. are supported by HYPERGENES (HEALTH-F4-2007). D.R. is supported by R01 HL149826, P50 GM115305. P.J.S. acknowledges the support of Leducq Foundation for Cardiovascular Research grant 18CVD05. P.V.D. is supported by the Netherlands CardioVascular Research Initiative (CVON PREDICT2). C.A. is supported by NIH HL47678 and HL138103, W.W. Smith Charitable Trust and Wistar Morris Fund. M.B. is Supported by the DZHK (German Centre for Cardiovascular Research) and by the BMBF (German Ministry of Education and Research). P.D.L. is supported by UCL/UCLH Biomedicine NIHR and Barts BRC. B.L. is supported by GOA-Antigone 33933. J.B. is supported by a Senior Clinical Fellowship of the Flemish Science Foundation (FWO). E.B. is supported by the British Heart Foundation including BHF Clinical Research Training Fellowship (FS/11/71/28918: Future diagnostic role and new genetic loci in SADS), Cardiac Risk in the Young and Robert Lancaster Memorial fund sponsored by McColl's Ltd. Retail Group. H.L.T. is supported by the European Union's Horizon 2020 research and innovation program under acronym ESCAPE-NET, registered under grant agreement no. 733381, and the Dutch Heart Foundation (CVON RESCUED and PREDICT2 projects). M.D. is supported by NIH-RO1 HL134328. P.T.E. was supported by the Fondation Leducq (14CVD01), the NIH (1RO1HL092577, R01HL128914, K24HL105780), the American Heart Association (18SFRN34110082) and by a research grant from Bayer AG to the Broad Institute. S.A.L. is supported by NIH grant 1R01HL139731 and American Heart Association 18SFRN34250007. J.-B.G. received a grant from the Federation Francaise de Cardiologie (PREVENT project). A.L.G. is supported by the Fondation Leducq. C.A.M.R. is supported by the Leducq Foundation and Burroughs Wellecome Fund. A.A.W. is supported by the Dutch Heart Foundation (CVON PREDICT2 project). J.-J.S. is supported by the Fondation pour la Recherche Medicale (DEQ20140329545). R.R. and P.G. are supported by the National Agency for Research (ANR-GENSUD-14-CE10-0001). C.R.B. is supported by the Dutch Heart Foundation (CVON PREDICT2 project), the Netherlands Organization for Scientific Research (VICI fellowship, 016.150.610) and Fondation Leducq (17CVD02).

Published
2022

24. Advances in the Genetics of Atrial Fibrillation: Implications for Future Research Directions and Personalized Medicine

Author

Lubitz, Steven A., Ozcan, Cevher, Magnani, Jared W., Kääb, Stefan, Benjamin, Emelia J., and Ellinor, Patrick T.

Subjects
Biomedical Research, Phenotype, Risk Factors, Atrial Fibrillation, Animals, Humans, Genetic Predisposition to Disease, Precision Medicine, Electrophysiologic Techniques, Cardiac, Article, Genetic Association Studies, Genome-Wide Association Study, Pedigree
Published
2010

25. A genome-wide association scan of RR and QT interval duration in three European genetically isolated populations. The EUROSPAN project

Author

Marroni, Fabio, Pfeufer, Arne, Aulchenko, Yurii S, Franklin, Christopher S, Isaacs, Aaron, Pichler, Irene, Wild, Sarah H, Oostra, Ben A, Wright, Alan F, Campbell, Harry, Witteman, Jacqueline C, Kääb, Stefan, Hicks, Andrew A, Gyllensten, Ulf, Rudan, Igor, Meitinger, Thomas, Pattaro, Cristian, van Duijn, Cornelia M, Wilson, James F, and Pramstaller, Peter P

Subjects
Adult, Male, Chromosomes, Human, Pair 13, Genotype, Middle Aged, Polymorphism, Single Nucleotide, Article, White People, Receptors, G-Protein-Coupled, Electrocardiography, Phenotype, Heart Rate, Humans, Female, Adaptor Proteins, Signal Transducing, Aged, Genome-Wide Association Study
Abstract

We set out to identify common genetic determinants of the length of the RR and QT intervals in 2325 individuals from isolated European populations.We analyzed the heart rate at rest, measured as the RR interval, and the length of the corrected QT interval for association with 318 237 single-nucleotide polymorphisms. The RR interval was associated with common variants within GPR133, a G-protein-coupled receptor (rs885389, P=3.9 x 10(-8)). The QT interval was associated with the earlier reported NOS1AP gene (rs2880058, P=2.00 x 10(-10)) and with a region on chromosome 13 (rs2478333, P=4.34 x 10(-8)), which is 100 kb from the closest known transcript LOC730174 and has previously not been associated with the length of the QT interval.Our results suggested an association between the RR interval and GPR133 and confirmed an association between the QT interval and NOS1AP.

Published
2009

26. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization

Author

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

Subjects
genome-wide association study, QT interval, Long QT Syndrome, sudden cardiac death, myocardial repolarization, arrhythmias
Abstract

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 QT interval loci, that collectively explain ∼8-10% of QT variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 novel QT loci in 298 unrelated LQTS probands identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode for 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 novel candidate genes for ventricular arrhythmias, LQTS,and SCD.

Published
2014
Full Text
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27. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction

Author

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

Subjects
Male, Multifactorial Inheritance, Endophenotypes, Quantitative Trait Loci, Gene Expression, Genetic Variation, Arrhythmias, Cardiac, 3. Good health, Electrocardiography, Cardiovascular Diseases, Genetic Loci, Humans, Female, Genetic Predisposition to Disease, Genome-Wide Association Study
Abstract

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

28. Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits

Author

Yalda Jamshidi, Paul I.W. de Bakker, J. Wouter Jukema, Ilaria Gandin, Monika Stoll, Christopher P. Nelson, Moritz F. Sinner, Eco J. C. de Geus, André G. Uitterlinden, Jan A. Kors, Vilmundur Gudnason, Sheila Ulivi, Jouke-Jan Hottenga, Terho Lehtimäki, Antonietta Robino, Mark Eijgelsheim, Annamaria Iorio, Niek Verweij, Martina Müller-Nurasyid, Ian Ford, Hao Mei, James G. Wilson, Albert V. Smith, Thomas Meitinger, Gianfranco Sinagra, Claudia T. Silva Aldana, Maartje N. Niemeijer, Torben Hansen, Allan Linneberg, Jennifer A. Brody, Pim van der Harst, Stella Trompet, Paolo Gasparini, Bram P. Prins, Stefan Kääb, Hamdi Mbarek, Alvaro Alonso, Leanne M. Hall, Helen R. Warren, Dan E. Arking, Peter W. Macfarlane, Annette Peters, Olli T. Raitakari, Daiane Hemerich, Mark J. Caulfield, Folkert W. Asselbergs, Dorret I. Boomsma, Aaron Isaacs, Bruno H. Stricker, Tamara B. Harris, Susan R. Heckbert, Jessica van Setten, Niels Grarup, Patricia B. Munroe, Leo-Pekka Lyytikäinen, Nilesh J. Samani, Cornelia M. van Duijn, Elsayed Z. Soliman, Nona Sotoodehnia, Jørgen K. Kanters, Melanie Waldenberger, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, APH - Methodology, APH - Personalized Medicine, Erasmus MC other, Epidemiology, Medical Informatics, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, van Setten, Jessica, Verweij, Niek, Mbarek, Hamdi, Niemeijer, Maartje N., Trompet, Stella, Arking, Dan E., Brody, Jennifer A., Gandin, Ilaria, Grarup, Niel, Hall, Leanne M., Hemerich, Daiane, Lyytikäinen, Leo-Pekka, Mei, Hao, Müller-Nurasyid, Martina, Prins, Bram P., Robino, Antonietta, Smith, Albert V., Warren, Helen R., Asselbergs, Folkert W., Boomsma, Dorret I., Caulfield, Mark J., Eijgelsheim, Mark, Ford, Ian, Hansen, Torben, Harris, Tamara B., Heckbert, Susan R., Hottenga, Jouke-Jan, Iorio, Anita, Kors, Jan A., Linneberg, Allan, Macfarlane, Peter W., Meitinger, Thoma, Nelson, Christopher P., Raitakari, Olli T., Silva Aldana, Claudia T., Sinagra, Gianfranco, Sinner, Moritz, Soliman, Elsayed Z., Stoll, Monika, Uitterlinden, Andre, van Duijn, Cornelia M., Waldenberger, Melanie, Alonso, Alvaro, Gasparini, Paolo, Gudnason, Vilmundur, Jamshidi, Yalda, Kääb, Stefan, Kanters, Jørgen K., Lehtimäki, Terho, Munroe, Patricia B., Peters, Annette, Samani, Nilesh J., Sotoodehnia, Nona, Ulivi, Sheila, Wilson, James G., de Geus, Eco J. C., Jukema, J. Wouter, Stricker, Bruno, van der Harst, Pim, de Bakker, Paul I. W., Isaacs, Aaron, Cardiovascular Centre (CVC), Biochemie, RS: FHML MaCSBio, RS: CARIM - R1 - Thrombosis and haemostasis, and RS: Carim - B01 Blood proteins & engineering

Subjects
Male, Netherlands Twin Register (NTR), Genetics, Genetics (clinical), PROTEIN, Genome-wide association study, Quantitative trait, Genome-wide association studies, ANNOTATION, Gene locus, Electrocardiography, Computer model, Netherlands, Priority journal, Allele, 0303 health sciences, Genome, Rr interval, 030305 genetics & heredity, COMMON VARIANTS, ddc, GLUCOCORTICOID-RECEPTOR, Qrs interval, Female, Cohort analysis, Erfðarannsóknir, PHOSPHOLAMBAN, Human, QT INTERVAL DURATION, Genotype, Heart rate, HEART-RATE, Exon, Single-nucleotide polymorphism, Major clinical study, Biology, Quantitative trait locus, Dutchman, Polymorphism, Single Nucleotide, QT interval, Article, Sample, 03 medical and health sciences, QRS complex, Genetic, SDG 3 - Good Health and Well-being, Humans, PR interval, Gene mapping, Genetic association, MUTATIONS, Follow up, CONTRACTILITY, DNA-rannsóknir, R1, Gene frequency, POLYMORPHISM, Electrocardiogram, Single nucleotide polymorphism, Minor allele frequency, Genetic Loci, Meta analysis, Qt interval, Genome-Wide Association Study
Abstract

Publisher's version (útgefin grein), Genome-wide association studies (GWAS) of quantitative electrocardiographic (ECG) traits in large consortia have identified more than 130 loci associated with QT interval, QRS duration, PR interval, and heart rate (RR interval). In the current study, we meta-analyzed genome-wide association results from 30,000 mostly Dutch samples on four ECG traits: PR interval, QRS duration, QT interval, and RR interval. SNP genotype data was imputed using the Genome of the Netherlands reference panel encompassing 19 million SNPs, including millions of rare SNPs (minor allele frequency < 5%). In addition to many known loci, we identified seven novel locus-trait associations: KCND3, NR3C1, and PLN for PR interval, KCNE1, SGIP1, and NFKB1 for QT interval, and ATP2A2 for QRS duration, of which six were successfully replicated. At these seven loci, we performed conditional analyses and annotated significant SNPs (in exons and regulatory regions), demonstrating involvement of cardiac-related pathways and regulation of nearby genes., Folkert W. Asselbergs is supported by UCL Hospitals NIHR Biomedical Research Centre.

Published
2019

29. 52 Genetic Loci Influencing Myocardial Mass

Author

Alan F. Wright, Cisca Wijmenga, Bruno H. Stricker, Peter W. Macfarlane, Edward G. Lakatta, Uwe Völker, Lenore J. Launer, Olli T. Raitakari, Stephan B. Felix, Toshiko Tanaka, Osorio Meirelles, Phil Barnett, Thomas Meitinger, Albert Hofman, Bosco Trinh, Tamara B. Harris, Peter M. Okin, Axel Visel, Teresa Nutile, Claudia T. Silva, Harry Campbell, Ilja M. Nolte, M. Fabiola Del Greco, Terho Lehtimäki, Shih-Jen Hwang, Alicia Lundby, Kamil Slowikowski, Luigi Ferrucci, Joshua C. Bis, Jerome I. Rotter, Nona Sotoodehnia, Sebastian Schafer, Igor Rudan, Ozren Polasek, Vinicius Tragante, Kenneth Rice, Connie R. Bezzina, Siegfried Perz, Aravinda Chakravarti, Paul I.W. de Bakker, Jared W. Magnani, Xinchen Wang, Yigal M. Pinto, Carsten Oliver Schmidt, Marcus Dörr, Peter P. Pramstaller, Jobanpreet Sehmi, Susan R. Heckbert, Richard B. Devereux, Jesper V. Olsen, Sheila Ulivi, Shane Neph, Peter M. Visscher, James F. Wilson, Alexander Nord, Tim D. Spector, Stefan Kääb, Elsayed Z. Soliman, Weihua Zhang, Lin Y. Chen, Pim van der Harst, Veronique Vitart, Anna F. Dominiczak, Mark Eijgelsheim, Pieter A. Doevendans, Josef M. Penninger, Jaspal S. Kooner, Georg Vogler, Patricia B. Munroe, Soumya Raychaudhuri, Christian Gieger, Harold Snieder, Annamaria Iorio, Caroline Hayward, Yalda Jamshidi, Mika Kähönen, Jessica van Setten, Wilko Spiering, Ian Ford, Andrew A. Hicks, John C. Chambers, Joel N. Hirschhorn, Matthew T. Maurano, Niek Verweij, Maria Grazia Pilia, Rolf Bodmer, Vilmundur Gudnason, Ben A. Oostra, Megan V. Cannon, Nilesh J. Samani, Bruce H. R. Wolffenbuttel, Annette Peters, David Schlessinger, Daniel Levy, J. Wouter Jukema, Malou van den Boogaard, Brendan M. Buckley, Arne Pfeufer, Michiel E. Adriaens, Rossella Sorice, Matthias Heinig, Jian Yang, Norbert Hubner, Stefania Bandinelli, André G. Uitterlinden, Hans L. Hillege, Martina Müller-Nurasyid, Andres Metspalu, Eric Haugen, Laurie A. Boyer, Ronald P. Stolk, Gonçalo R. Abecasis, Dan E. Arking, Manolis Kellis, Ishminder K. Kooner, Leo-Pekka Lyytikäinen, Dena G. Hernandez, Dirk J. van Veldhuisen, Len A. Pennacchio, Kasper Lage, Gianfranco Sinagra, Bruce M. Psaty, Christopher Newton-Cheh, Cornelia M. van Duijn, Stefania Nappo, Dalit May, Paolo Gasparini, Elizabeth J. Rossin, Rudolf A. de Boer, Alessandro P Delitala, Tõnu Esko, John A. Stamatoyannopoulos, Aaron Isaacs, Kathleen F. Kerr, Sian Tsung Tan, Tune H. Pers, Serena Sanna, Melanie Waldenberger, Marina Ciullo, Jorma Viikari, Vincent M. Christoffels, Bram P. Prins, Alvaro Alonso, Sandosh Padmanabhan, Harm-Jan Westra, Moritz F. Sinner, Albert V. Smith, Kirill V. Tarasov, Konstantin Strauch, Wiek H. van Gilst, Christian X. Weichenberger, Lude Franke, Folkert W. Asselbergs, Herman H W Silljé, Jan A. Kors, Irene Mateo Leach, Karl Andersen, Ivana Kolcic, Stella Trompet, Silvia Naitza, Broad Institute of MIT and Harvard, Raychaudhuri, Soumya, Sciences, RS: FSE MaCSBio, RS: FPN MaCSBio, RS: FHML MaCSBio, Biochemie, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, Maastricht Centre for Systems Biology, Fysiologie, RS: Carim - B01 Blood proteins & engineering, Graduate School, ANS - Cellular & Molecular Mechanisms, ANS - Neuroinfection & -inflammation, AGEM - Endocrinology, metabolism and nutrition, Medical Biology, ACS - Heart failure & arrhythmias, ARD - Amsterdam Reproduction and Development, Intensive Care Medicine, Other Research, Cardiology, Ophthalmology, ACS - Amsterdam Cardiovascular Sciences, Center of Experimental and Molecular Medicine, AII - Inflammatory diseases, AII - Infectious diseases, ACS - Pulmonary hypertension & thrombosis, Gastroenterology and Hepatology, Experimental Immunology, Erasmus MC other, Epidemiology, Public Health, Medical Informatics, Clinical Genetics, Internal Medicine, Cardiovascular Centre (CVC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Life Course Epidemiology (LCE), Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), van der Harst, Pim, van Setten, Jessica, Verweij, Niek, Vogler, Georg, Franke, Lude, Maurano, Matthew T., Wang, Xinchen, Mateo Leach, Irene, Eijgelsheim, Mark, Sotoodehnia, Nona, Hayward, Caroline, Sorice, Rossella, Meirelles, Osorio, Lyytikäinen, Leo Pekka, Polašek, Ozren, Tanaka, Toshiko, Arking, Dan E., Ulivi, Sheila, Trompet, Stella, Müller Nurasyid, Martina, Smith, Albert V., Dörr, Marcu, Kerr, Kathleen F., Magnani, Jared W., Fabiola, Del Greco M., Zhang, Weihua, Nolte, Ilja M., Silva, Claudia T., Padmanabhan, Sandosh, Tragante, Viniciu, Esko, Tõnu, Abecasis, Gonçalo R., Adriaens, Michiel E., Andersen, Karl, Barnett, Phil, Bis, Joshua C., Bodmer, Rolf, Buckley, Brendan M., Campbell, Harry, Cannon, Megan V., Chakravarti, Aravinda, Chen, Lin Y., Delitala, Alessandro, Devereux, Richard B., Doevendans, Pieter A., Dominiczak, Anna F., Ferrucci, Luigi, Ford, Ian, Gieger, Christian, Harris, Tamara B., Haugen, Eric, Heinig, Matthia, Hernandez, Dena G., Hillege, Hans L., Hirschhorn, Joel N., Hofman, Albert, Hubner, Norbert, Hwang, Shih Jen, Iorio, Annamaria, Kähönen, Mika, Kellis, Manoli, Kolcic, Ivana, Kooner, Ishminder K., Kooner, Jaspal S., Kors, Jan A., Lakatta, Edward G., Lage, Kasper, Launer, Lenore J., Levy, Daniel, Lundby, Alicia, Macfarlane, Peter W., May, Dalit, Meitinger, Thoma, Metspalu, Andre, Nappo, Stefania, Naitza, Silvia, Neph, Shane, Nord, Alex S., Nutile, Teresa, Okin, Peter M., Olsen, Jesper V., Oostra, Ben A., Penninger, Josef M., Pennacchio, Len A., Pers, Tune H., Perz, Siegfried, Peters, Annette, Pinto, Yigal M., Pfeufer, Arne, Pilia, Maria Grazia, Pramstaller, Peter P., Prins, Bram P., Raitakari, Olli T., Rice, Ken M., Rossin, Elizabeth J., Rotter, Jerome I., Schafer, Sebastian, Schlessinger, David, Schmidt, Carsten O., Sehmi, Jobanpreet, Silljé, Herman H. W., Sinagra, Gianfranco, Sinner, Moritz F., Slowikowski, Kamil, Soliman, Elsayed Z., Spector, Timothy D., Spiering, Wilko, Stamatoyannopoulos, John A., Stolk, Ronald P., Strauch, Konstantin, Tan, Sian Tsung, Tarasov, Kirill V., Trinh, Bosco, Uitterlinden, Andre G., van den Boogaard, Malou, van Duijn, Cornelia M., van Gilst, Wiek H., Viikari, Jorma S., Visscher, Peter M., Vitart, Veronique, Völker, Uwe, Waldenberger, Melanie, Weichenberger, Christian X., Westra, Harm Jan, Wijmenga, Cisca, Wolffenbuttel, Bruce H., Yang, Jian, Bezzina, Connie R., Munroe, Patricia B., Snieder, Harold, Wright, Alan F., Rudan, Igor, Boyer, Laurie A., Asselbergs, Folkert W., van Veldhuisen, Dirk J., Stricker, Bruno H., Psaty, Bruce M., Ciullo, Marina, Sanna, Serena, Lehtimäki, Terho, Wilson, James F., Bandinelli, Stefania, Alonso, Alvaro, Gasparini, Paolo, Jukema, J. Wouter, Kääb, Stefan, Gudnason, Vilmundur, Felix, Stephan B., Heckbert, Susan R., de Boer, Rudolf A., Newton Cheh, Christopher, Hicks, Andrew A., Chambers, John C., Jamshidi, Yalda, Visel, Axel, Christoffels, Vincent M., Isaacs, Aaron, Samani, Nilesh J., and de Bakker, Paul I. W.

Subjects
0301 basic medicine, Biological functions, Qrs, Electrocardiogram, Genetic Association Study, Heart Failure, Left Ventricular Hypertrophy, Candidate gene, Cardiac & Cardiovascular Systems, heart failure, Genome-wide association study, ELECTROCARDIOGRAM, 030204 cardiovascular system & hematology, SCN5A gene, Gene locus, DISEASE, Muscle hypertrophy, In vivo study, 0302 clinical medicine, Sodium channel Nav1.5, REGULATORY DNA, Sodium channel Nav1.8, Cardiac muscle, CARDIAC-HYPERTROPHY, Priority journal, RISK, Genetics, Validation study, Heart, Genetic parameters, Reliability, Chromatin, left ventricular hypertrophy, GENOME, Drosophila melanogaster, Phenotype, medicine.anatomical_structure, 1117 Public Health And Health Services, genetic association study, Cardiology, cardiovascular system, HEART, Functional assessment, Histone modification, Cardiology and Cardiovascular Medicine, Genetic trait, Life Sciences & Biomedicine, Human, medicine.medical_specialty, Cardiomegaly, Locus (genetics), Major clinical study, electrocardiogram, European, QRS, 1102 Cardiovascular Medicine And Haematology, Article, 03 medical and health sciences, QRS complex, LEFT-VENTRICULAR HYPERTROPHY, Internal medicine, Journal Article, medicine, Mus musculus, Protein binding, Animals, Humans, SCN10A gene, VOLTAGE, Cardiovascular parameters, Heart ventricle hypertrophy, Science & Technology, Human genome, Animal, business.industry, MORTALITY, In vitro study, ta3121, medicine.disease, DYSFUNCTION, 030104 developmental biology, Gene identification, Cardiovascular System & Hematology, Genetic Loci, Heart failure, Expression quantitative trait loci, Genetic association, Meta analysis (topic), Cardiovascular System & Cardiology, Genetic variability, Transcription factor, Myocardial mass, business
Abstract

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 CONCLUSIONS Taken together, our findings provide new insights into genes and biological pathways controlling myocardial mass and may help identify novel therapeutic targets. (C) 2016 by the American College of Cardiology Foundation.

Published
2016

30. PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity

Author

Bruno H. Stricker, Antonietta Robino, Gandin Ilaria, Marylyn D. Ritchie, Mark Eijgelsheim, Hilma Holm, Marcus Dörr, Philipp S. Wild, Jessica van Setten, Stephan B. Felix, Maristella Steri, Jared W. Magnani, Brendan M. Buckley, Peter P. Pramstaller, Claudia T. Silva Aldana, Niek Verweij, Tim D. Spector, Ruth J. F. Loos, Dan M. Roden, Martina Müller-Nurasyid, Mina K. Chung, Sandosh Padmanabhan, Stefania Bandinelli, Harm-Jan Westra, James F. Wilson, Honghuang Lin, Braxton D. Mitchell, Patrick T. Ellinor, Patricia B. Munroe, Harold Snieder, Thomas Münzel, Sheila Ulivi, Andrew A. Hicks, Nona Sotoodehnia, Daniel S. Evans, Annamaria Iorio, Peter W. Macfarlane, Vilmundur Gudnason, Christy L. Avery, Caroline Hayward, Cornelia M. van Duijn, John Barnard, Alvaro Alonso, Dana C. Crawford, Uwe Völker, David R. Van Wagoner, Tamara B. Harris, Harry Campbell, Ozren Polasek, Daniel F. Gudbjartsson, Ilja M. Nolte, Bouwe P. Krijthe, Eric Boerwinkle, Moritz F. Sinner, Elsayed Z. Soliman, Mika Kähönen, Christian Müller, Renate B. Schnabel, Unnur Thorsteinsdottir, Leo-Pekka Lyytikäinen, George J. Papanicolaou, Ivana Kolcic, Stella Trompet, Jerome I. Rotter, Dan E. Arking, Kirill V. Tarasov, Igor Rudan, Bruce M. Psaty, Gianfranco Sinagra, Alexander Teumer, Yalda Jamshidi, David O. Arnar, Toshiko Tanaka, Melanie Waldenberger, Henry J. Lin, Luigi Ferrucci, Susan R. Heckbert, Jan A. Kors, Irene Mateo Leach, Joel S. Bader, Konstantin Strauch, Albert V. Smith, Paul I.W. de Bakker, Stefan Blankenberg, J. C. Bis, Edward G. Lakatta, Lenore J. Launer, Thomas Meitinger, Anna F. Dominiczak, Marcel den Hoed, Steven A. Lubitz, Stefan Kääb, David J. Stott, Francesco Cucca, Olli T. Raitakari, Afshin Parsa, Nilesh J. Samani, Josh C. Denny, Lude Franke, Oscar H. Franco, Yongmei Liu, Folkert W. Asselbergs, Henry Völzke, Terho Lehtimäki, Arne Pfeufer, Annette Peters, David Schlessinger, Xiaoyan Yin, Jennifer A. Brody, J. Wouter Jukema, Paolo Gasparini, Tanja Zeller, Aaron Isaacs, Anne M. Butler, Sina A. Gharib, Kathleen F. Kerr, Jonathan D. Smith, Pim van der Harst, André G. Uitterlinden, Quince Gibson, Yuki Bradford, Brenton R. Swenson, Emelia J. Benjamin, Georg Ehret, Kari Stefansson, Fabiola M. Del Greco, Biochemie, RS: CARIM - R1.01 - Blood proteins & engineering, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, RS: FHML MaCSBio, van Setten, Jessica, Brody, Jennifer A, Jamshidi, Yalda, Swenson, Brenton R, Butler, Anne M, Campbell, Harry, Del Greco, Fabiola M, Evans, Daniel S, Gibson, Quince, Gudbjartsson, Daniel F, Kerr, Kathleen F, Krijthe, Bouwe P, Lyytikäinen, Leo-Pekka, Müller, Christian, Müller-Nurasyid, Martina, Nolte, Ilja M, Padmanabhan, Sandosh, Ritchie, Marylyn D, Robino, Antonietta, Smith, Albert V, Steri, Maristella, Tanaka, Toshiko, Teumer, Alexander, Trompet, Stella, Ulivi, Sheila, Verweij, Niek, Yin, Xiaoyan, Arnar, David O, Asselbergs, Folkert W, Bader, Joel S, Barnard, John, Bis, Josh, Blankenberg, Stefan, Boerwinkle, Eric, Bradford, Yuki, Buckley, Brendan M, Chung, Mina K, Crawford, Dana, den Hoed, Marcel, Denny, Josh C, Dominiczak, Anna F, Ehret, Georg B, Eijgelsheim, Mark, Ellinor, Patrick T, Felix, Stephan B, Franco, Oscar H, Franke, Lude, Harris, Tamara B, Holm, Hilma, Gandin, Ilaria, Iorio, Annamaria, Kähönen, Mika, Kolcic, Ivana, Kors, Jan A, Lakatta, Edward G, Launer, Lenore J, Lin, Honghuang, Lin, Henry J, Loos, Ruth J F, Lubitz, Steven A, Macfarlane, Peter W, Magnani, Jared W, Leach, Irene Mateo, Meitinger, Thoma, Mitchell, Braxton D, Munzel, Thoma, Papanicolaou, George J, Peters, Annette, Pfeufer, Arne, Pramstaller, Peter P, Raitakari, Olli T, Rotter, Jerome I, Rudan, Igor, Samani, Nilesh J, Schlessinger, David, Silva Aldana, Claudia T, Sinner, Moritz F, Smith, Jonathan D, Snieder, Harold, Soliman, Elsayed Z, Spector, Timothy D, Stott, David J, Strauch, Konstantin, Tarasov, Kirill V, Thorsteinsdottir, Unnur, Uitterlinden, Andre G, Van Wagoner, David R, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Jan Westra, Harm, Wild, Philipp S, Zeller, Tanja, Alonso, Alvaro, Avery, Christy L, Bandinelli, Stefania, Benjamin, Emelia J, Cucca, Francesco, Dörr, Marcu, Ferrucci, Luigi, Gasparini, Paolo, Gudnason, Vilmundur, Hayward, Caroline, Heckbert, Susan R, Hicks, Andrew A, Jukema, J Wouter, Kääb, Stefan, Lehtimäki, Terho, Liu, Yongmei, Munroe, Patricia B, Parsa, Afshin, Polasek, Ozren, Psaty, Bruce M, Roden, Dan M, Schnabel, Renate B, Sinagra, Gianfranco, Stefansson, Kari, Stricker, Bruno H, van der Harst, Pim, van Duijn, Cornelia M, Wilson, James F, Gharib, Sina A, de Bakker, Paul I W, Isaacs, Aaron, Arking, Dan E, Sotoodehnia, Nona, Faculty of Medicine (UI), Læknadeild (HÍ), School of Engineering and Natural Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Health Sciences (UI), Heilbrigðisvísindasvið (HÍ), Háskóli Íslands (HÍ), University of Iceland (UI), Epidemiology, Medical Informatics, Internal Medicine, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), and Stem Cell Aging Leukemia and Lymphoma (SALL)

Subjects
Male, QRS duration, Epidemiology, Genome-wide association study, Biochemistry, Linkage Disequilibrium, Electrocardiography, 0302 clinical medicine, Atrioventricular Conduction, lcsh:Science, COMMON VARIANTS, Heart Depolarization, Canal de iones, Cardiovascular system, Gene Locus, Blood, cardiovascular system, Qrs Interval, FIBRILLATION, Enfermedades cardiovasculares, Human, Missense Mutation, Heart block, Science, HEART-RATE, Single-nucleotide polymorphism, Missense/genetics, Physics and Astronomy(all), Factor de transcripción, European, General Biochemistry, Genetics and Molecular Biology, Article, PR interval genome, atrial electrical activity, atrioventricular electrical activity, 03 medical and health sciences, CARDIAC CONDUCTION, Cardiac conduction, Humans, Sistema cardiovascular, Common variants, Sangre, Cardiovascular genetics, medicine.disease, Heart-rate, Enfermedades, Electrophysiological Phenomena, 030104 developmental biology, Heart Block, Electric Activity, Mutation, lcsh:Q, Cell Junction, Cohorts, Meta-Analysis, 0301 basic medicine, Chemistry(all), Transcription Factor, General Physics and Astronomy, 030204 cardiovascular system & hematology, Fibrilación auricular, Electrophysiological Phenomena/genetics, RARE, Ion Channel, Heart Rate, Risk Factors, Atrial Fibrillation, EPIDEMIOLOGY, Bloqueo cardíaco, SNPS, Genetics, RISK, Multidisciplinary, Genome, Atrial fibrillation, Genetic Analysis, Atrioventricular Node/physiology, Atrial Function, Phenotype, Heart Disease, Rare, Atrioventricular Node, Female, medicine.symptom, QRS DURATION, Atrial Function/physiology, Medical Genetics, SNPs, Signal Transduction, Risk, Heart Diseases, Mutation, Missense, macromolecular substances, Biology, QRS complex, medicine, Disequilibrium, Linkage Disequilibrium/genetics, cardiovascular diseases, PR interval, Medicinsk genetik, Fibrillation, Biochemistry, Genetics and Molecular Biology(all), Risk Factor, African, General Chemistry, COHORTS, Pr Interval, Gene Linkage Disequilibrium, Genetics and Molecular Biology(all), Genome-Wide Association Study
Abstract

Publisher's version (útgefin grein). Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations., 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., Acknowledgements per cohort are listed in Supplementary Note 2. We thank the following studies for sharing their summary level results: QRS voltage (van der Harst et al., 2016)[12], heart rate (den Hoed et al., 2013)[35], RR interval (Eijgelsheim et al., 2010)[11], atrial fibrillation (Christophersen et al., 2017[15]), and CARe-COGENT AA PR Consortium (Butler et al., 2012)[33]. We acknowledge Dr. Vinicius Tragante for his help generating the author list.

Published
2018

31. Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6

Author

Farid Radmanesh, Kenneth Rice, Xiuqing Guo, Jessica van Setten, Konstantin Strauch, Albert V. Smith, Jeffrey Haessler, Stefan Kääb, Folkert W. Asselbergs, Patricia B. Munroe, Steven A. Lubitz, Ching-Ti Liu, Niek Verweij, Aaron Isaacs, Martina Müller-Nurasyid, Allan Linneberg, Jan A. Kors, Ozren Polasek, Kari Stefansson, Caroline Hayward, Daniel F. Gudbjartsson, Jonathan Marten, Olli T. Raitakari, Mark Eijgelsheim, Timothy J. Mead, Nona Sotoodehnia, Elsayed Z. Soliman, Hao Mei, Gianfranco Sinagra, Stefan Weiss, Torben Hansen, Michiel L. Bots, Mika Kähönen, Yalda Jamshidi, Xiaoqin Liu, Stefania Cappellani, Unnur Thorsteinsdottir, Nilesh J. Samani, Cecilia W. Lo, Honghuang Lin, Charles Kooperberg, Moritz F. Sinner, Zhijun Xie, Jennifer A. Brody, Paolo Gasparini, Ruifang Li-Gao, Leo-Pekka Lyytikäinen, Stefan van Duijvenboden, Nikolai Klena, Michele Orini, Stella Trompet, Joop Jukema, Tamara B. Harris, Jerome I. Rotter, Stephan B. Felix, Julia Ramirez, Sheila Ulivi, Ioanna Ntalla, Marcus Dörr, Annette Peters, Paul L. Huang, Dennis O. Mook-Kanamori, Igor Rudan, Cornelia M. van Duijn, Christopher P. Nelson, Anna F. Dominiczak, Henry Völzke, Terho Lehtimäki, Niels Grarup, Henry J. Lin, Bruno H. Stricker, Tim D. Spector, Molly Schwartz, Patrick T. Ellinor, Vilmundur Gudnason, Uwe Völker, Christopher Newton-Cheh, Antonietta Robino, Marten E. van den Berg, Çağrı Güleç, Marco V Perez, Jette Bork-Jensen, Pim van der Harst, Rudolf A. de Boer, Jonathan Rosand, Oluf Pedersen, Susan R. Heckbert, David O Arnar, Dan E. Arking, André G. Uitterlinden, Andrew Tinker, Bram P. Prins, Lenore J. Launer, Alvaro Alonso, Leanne M. Hall, Helen R. Warren, Man Li, Pier D. Lambiase, Jørgen K. Kanters, Ilonca Vaartjes, James G. Wilson, Sandosh Padmanabhan, Melanie Waldenberger, Nathan A. Bihlmeyer, Peter van der Meer, Francesco J. Conti, George C. Gabriel, Hilma Holm, Gardar Sveinbjornsson, Suneel S. Apte, Annamaria Iorio, Blair H. Smith, Bruce M. Psaty, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, RS: CARIM - R1.01 - Blood proteins & engineering, RS: FHML MaCSBio, Biochemie, Jamshidi, Yalda [0000-0003-0151-6482], Apollo - University of Cambridge Repository, Medical Informatics, Epidemiology, Internal Medicine, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), School of Engineering and Natural Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), Háskóli Íslands (HÍ), University of Iceland (UI), Prins, Bram P, Mead, Timothy J, Brody, Jennifer A, Sveinbjornsson, Gardar, Ntalla, Ioanna, Bihlmeyer, Nathan A, van den Berg, Marten, Bork-Jensen, Jette, Cappellani, Stefania, Van Duijvenboden, Stefan, Klena, Nikolai T, Gabriel, George C, Liu, Xiaoqin, Gulec, Cagri, Grarup, Niel, Haessler, Jeffrey, Hall, Leanne M, Iorio, Annamaria, Isaacs, Aaron, Li-Gao, Ruifang, Lin, Honghuang, Liu, Ching-Ti, Lyytikäinen, Leo-Pekka, Marten, Jonathan, Mei, Hao, Müller-Nurasyid, Martina, Orini, Michele, Padmanabhan, Sandosh, Radmanesh, Farid, Ramirez, Julia, Robino, Antonietta, Schwartz, Molly, van Setten, Jessica, Smith, Albert V, Verweij, Niek, Warren, Helen R, Weiss, Stefan, Alonso, Alvaro, Arnar, David O, Bots, Michiel L, de Boer, Rudolf A, Dominiczak, Anna F, Eijgelsheim, Mark, Ellinor, Patrick T, Guo, Xiuqing, Felix, Stephan B, Harris, Tamara B, Hayward, Caroline, Heckbert, Susan R, Huang, Paul L, Jukema, J W, Kähönen, Mika, Kors, Jan A, Lambiase, Pier D, Launer, Lenore J, Li, Man, Linneberg, Allan, Nelson, Christopher P, Pedersen, Oluf, Perez, Marco, Peters, Annette, Polasek, Ozren, Psaty, Bruce M, Raitakari, Olli T, Rice, Kenneth M, Rotter, Jerome I, Sinner, Moritz F, Soliman, Elsayed Z, Spector, Tim D, Strauch, Konstantin, Thorsteinsdottir, Unnur, Tinker, Andrew, Trompet, Stella, Uitterlinden, André, Vaartjes, Ilonca, van der Meer, Peter, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Wilson, James G, Xie, Zhijun, Asselbergs, Folkert W, Dörr, Marcu, van Duijn, Cornelia M, Gasparini, Paolo, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Hansen, Torben, Kääb, Stefan, Kanters, Jørgen K, Kooperberg, Charle, Lehtimäki, Terho, Lin, Henry J, Lubitz, Steven A, Mook-Kanamori, Dennis O, Conti, Francesco J, Newton-Cheh, Christopher H, Rosand, Jonathan, Rudan, Igor, Samani, Nilesh J, Sinagra, Gianfranco, Smith, Blair H, Holm, Hilma, Stricker, Bruno H, Ulivi, Sheila, Sotoodehnia, Nona, Apte, Suneel S, van der Harst, Pim, Stefansson, Kari, Munroe, Patricia B, Arking, Dan E, Lo, Cecilia W, Jamshidi, Yalda, Medical Biochemistry, ACS - Atherosclerosis & ischemic syndromes, ACS - Diabetes & metabolism, AII - Infectious diseases, AGEM - Endocrinology, metabolism and nutrition, AGEM - Inborn errors of metabolism, Amsterdam institute for Infection and Immunity, Amsterdam Gastroenterology Endocrinology Metabolism, Radiotherapy, Experimental Immunology, Gastroenterology and Hepatology, Graduate School, Intensive Care Medicine, Cardiology, Cardiovascular Centre (CVC), and Restoring Organ Function by Means of Regenerative Medicine (REGENERATE)

Subjects
0301 basic medicine, ADAMTS6, Conduction, Exome chip, Meta-analysis, Male, Gene Expression, Genome-wide association study, Sudden cardiac death, Electrocardiography, Mice, ADAMTS Proteins, PR INTERVAL, Exome, lcsh:QH301-705.5, Exome sequencing, POPULATION, education.field_of_study, Gen, Ecology, Adamts6, Exome Chip, COMMON VARIANTS, Middle Aged, cardiovascular system, Female, Electrical conduction system of the heart, QRS DURATION, lcsh:QH426-470, Evolution, Population, Black People, Computational biology, Biology, Polymorphism, Single Nucleotide, White People, WORSENING HEART-FAILURE, 03 medical and health sciences, QRS complex, Open Reading Frames, Behavior and Systematics, VENTRICULAR CONDUCTION, Heart Conduction System, Cardiac conduction, Exome Sequencing, medicine, Genetics, Erfðafræði, Animals, Humans, ARRHYTHMIC DEATH, cardiovascular diseases, GENOME-WIDE ASSOCIATION, education, Ecology, Evolution, Behavior and Systematics, Research, Gene Expression Profiling, Myocardium, MORTALITY, Rannsóknir, Cell Biology, medicine.disease, lcsh:Genetics, 030104 developmental biology, lcsh:Biology (General), Genetic Loci, Connexin 43, ELECTROCARDIOGRAPHIC PARAMETERS, Genome-Wide Association Study
Abstract

Publisher's version (útgefin grein)., 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., Funding This work was funded by a grant to YJ from the British Heart Foundation (PG/12/38/29615). AGES: This study has been funded by NIH contracts N01-AG-1-2100 and 271201200022C, the NIA Intramural Research Program, Hjartavernd (the Icelandic Heart Association), and the Althingi (the Icelandic Parliament). The study is approved by the Icelandic National Bioethics Committee, VSN: 00–063. The researchers are indebted to the participants for their willingness to participate in the study. ARIC: The Atherosclerosis Risk in Communities Study is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute contracts (HHSN268201100005C, HHSN268201100006C, HHSN268201100007C, HHSN268201100008C, HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and HHSN268201100012C), R01HL087641, R01HL59367, and R01HL086694; National Human Genome Research Institute contract U01HG004402; and National Institutes of Health contract HHSN268200625226C. The authors thank the staff and participants of the ARIC study for their important contributions. Infrastructure was partly supported by Grant Number UL1RR025005, a component of the National Institutes of Health and NIH Roadmap for Medical Research. Funding support for “Building on GWAS for NHLBI-diseases: the U.S. CHARGE consortium” was provided by the NIH through the American Recovery and Reinvestment Act of 2009 (ARRA) (5RC2HL102419). BRIGHT: The Exome Chip genotyping was funded by Wellcome Trust Strategic Awards (083948 and 085475). This work was also supported by the Medical Research Council of Great Britain (Grant no. G9521010D); and by the British Heart Foundation (Grant no. PG/02/128). AFD was supported by the British Heart Foundation (Grant nos. RG/07/005/23633 and SP/08/005/25115); and by the European Union Ingenious HyperCare Consortium: Integrated Genomics, Clinical Research, and Care in Hypertension (grant no. LSHM-C7–2006-037093). The BRIGHT study is extremely grateful to all the patients who participated in the study and the BRIGHT nursing team. We would also like to thank the Barts Genome Centre staff for their assistance with this project. CHS: This Cardiovascular Health Study (CHS) research was supported by NHLBI contracts HHSN268201800001C, HHSN268201200036C, HHSN268200800007C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086; and NHLBI grants R01HL068986, U01HL080295, R01HL087652, R01HL105756, R01HL103612, R01HL120393, and U01HL130114 with additional contribution from the National Institute of Neurological Disorders and Stroke (NINDS). Additional support was provided through R01AG023629 from the National Institute on Aging (NIA). A full list of principal CHS investigators and institutions can be found at CHS-NHLBI.org. The provision of genotyping data was supported in part by the National Center for Advancing Translational Sciences, CTSI grant UL1TR001881, and the National Institute of Diabetes and Digestive and Kidney Disease Diabetes Research Center (DRC) grant DK063491 to the Southern California Diabetes Endocrinology Research Center. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. ERF: The ERF study as a part of EUROSPAN (European Special Populations Research Network) was supported by European Commission FP6 STRP grant number 018947 (LSHG-CT-2006-01947) and also received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013)/grant agreement HEALTH-F4–2007-201413 by the European Commission under the programme “Quality of Life and Management of the Living Resources” of 5th Framework Programme (no. QLG2-CT-2002-01254). The ERF study was further supported by ENGAGE consortium and CMSB. High-throughput analysis of the ERF data was supported by joint grant from Netherlands Organization for Scientific Research and the Russian Foundation for Basic Research (NWO-RFBR 047.017.043). We are grateful to all study participants and their relatives, general practitioners, and neurologists for their contributions to the ERF study and to P Veraart for her help in genealogy, J Vergeer for the supervision of the laboratory work, and P Snijders for his help in data collection. FHS: The Framingham Heart Study (FHS) research reported in this article was supported by a grant from the National Heart, Lung, and Blood Institute (NHLBI), HL120393. Generation Scotland: Generation Scotland received core support from the Chief Scientist Office of the Scottish Government Health Directorates (CZD/16/6) and the Scottish Funding Council (HR03006). Genotyping of the Generation Scotland and Scottish Family Health Study samples was carried out by the Genetics Core Laboratory at the Clinical Research Facility, Edinburgh, Scotland and was funded by the UK’s Medical Research Council. GOCHA: The Genetics of Cerebral Hemorrhage with Anticoagulation was carried out as a collaborative study supported by grants R01NS073344, R01NS059727, and 5K23NS059774 from the NIH–National Institute of Neurological Disorders and Stroke (NIH-NINDS). GRAPHIC: The GRAPHIC Study was funded by the British Heart Foundation (BHF/RG/2000004). NJS and CPN are supported by the British Heart Foundation and is a NIHR Senior Investigator. This work falls under the portfolio of research supported by the NIHR Leicester Cardiovascular Biomedical Research. INGI-FVG: This study has been funded by Regione FVG (L.26.2008). INTER99: The Inter99 was initiated by Torben Jørgensen (PI), Knut Borch-Johnsen (co-PI), Hans Ibsen and Troels F. Thomsen. The steering committee comprises the former two and Charlotta Pisinger. The study was financially supported by research grants from the Danish Research Council, the Danish Centre for Health Technology Assessment, Novo Nordisk Inc., Research Foundation of Copenhagen County, Ministry of Internal Affairs and Health, the Danish Heart Foundation, the Danish Pharmaceutical Association, the Augustinus Foundation, the Ib Henriksen Foundation, the Becket Foundation, and the Danish Diabetes Association. The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent Research Center at the University of Copenhagen partially funded by an unrestricted donation from the Novo Nordisk Foundation (www.metabol.ku.dk). JHS: We thank the Jackson Heart Study (JHS) participants and staff for their contributions to this work. The JHS is supported by contracts HHSN268201300046C, HHSN268201300047C, HHSN268201300048C, HHSN268201300049C, HHSN268201300050C from the National Heart, Lung, and Blood Institute and the National Institute on Minority Health and Health Disparities. Dr. Wilson is supported by U54GM115428 from the National Institute of General Medical Sciences. KORA: The KORA study was initiated and financed by the Helmholtz Zentrum München – German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research (BMBF) and by the State of Bavaria. Furthermore, KORA research was supported within the Munich Center of Health Sciences (MC-Health), Ludwig-Maximilians-Universität, as part of LMUinnovativ. Korcula: This work was funded by the Medical Research Council UK, The Croatian Ministry of Science, Education and Sports (grant 216–1080315-0302), the Croatian Science Foundation (grant 8875), the Centre of Excellence in Personalized health care, and the Centre of Competencies for Integrative Treatment, Prevention and Rehabilitation using TMS. LifeLines: The LifeLines Cohort Study and generation and management of GWAS genotype data for the LifeLines Cohort Study are supported by The Netherlands Organization of Scientific Research NWO (grant 175.010.2007.006), the Economic Structure Enhancing Fund (FES) of the Dutch government, the Ministry of Economic Affairs, the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the Northern Netherlands Collaboration of Provinces (SNN), the Province of Groningen, University Medical Center Groningen, the University of Groningen, Dutch Kidney Foundation, and Dutch Diabetes Research Foundation. Niek Verweij is supported by NWO-VENI (016.186.125) and Marie Sklodowska-Curie GF (call: H2020-MSCA-IF-2014, Project ID: 661395). UHP: Folkert W. Asselbergs is supported by UCL Hospitals NIHR Biomedical Research Centre. Ilonca Vaartjes is supported by a Dutch Heart Foundation grant DHF project “Facts and Figures.” MGH-CAMP: Dr. Patrick Ellinor is funded by NIH grants (2R01HL092577, 1R01HL128914, R01HL104156, and K24HL105780) and American Heart Association Established Investigator Award 13EIA14220013 (Ellinor). Dr. Steve Lubitz is funded by NIH grants K23HL114724 and a Doris Duke Charitable Foundation Clinical Scientist Development Award 2014105. NEO: The authors of the NEO study thank all individuals who participated in the Netherlands Epidemiology in Obesity study, all participating general practitioners for inviting eligible participants, and all research nurses for collection of the data. We thank the NEO study group, Pat van Beelen, Petra Noordijk, and Ingeborg de Jonge for the coordination, lab, and data management of the NEO study. We also thank Arie Maan for the analyses of the electrocardiograms. The genotyping in the NEO study was supported by the Centre National de Génotypage (Paris, France), headed by Jean-Francois Deleuze. The NEO study is supported by the participating Departments, the Division and the Board of Directors of the Leiden University Medical Center, and by the Leiden University, Research Profile Area Vascular and Regenerative Medicine. Dennis Mook-Kanamori is supported by Dutch Science Organization (ZonMW-VENI Grant 916.14.023). RS-I: The generation and management of the Illumina Exome Chip v1.0 array data for the Rotterdam Study (RS-I) was executed by the Human Genotyping Facility of the Genetic Laboratory of the Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands. The Exome chip array dataset was funded by the Genetic Laboratory of the Department of Internal Medicine, Erasmus MC, from the Netherlands Genomics Initiative (NGI)/Netherlands Organization for Scientific Research (NWO)-sponsored Netherlands Consortium for Healthy Aging (NCHA; project nr. 050–060-810); the Netherlands Organization for Scientific Research (NWO; project number 184021007); and by the Rainbow Project (RP10; Netherlands Exome Chip Project) of the Biobanking and Biomolecular Research Infrastructure Netherlands (BBMRI-NL; www.bbmri.nl). We thank Ms. Mila Jhamai, Ms. Sarah Higgins, and Mr. Marijn Verkerk for their help in creating the exome chip database, and Carolina Medina-Gomez, MSc, Lennard Karsten, MSc, and Linda Broer PhD for QC and variant calling. Variants were called using the best practice protocol developed by Grove et al. as part of the CHARGE consortium exome chip central calling effort. The Rotterdam Study is funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. The authors are grateful to the study participants, the staff from the Rotterdam Study, and the participating general practitioners and pharmacists. The work of Bruno H. Stricker is supported by grants from the Netherlands Organization for Health Research and Development (ZonMw) (Priority Medicines Elderly 113102005 to ME and DoelmatigheidsOnderzoek 80–82500–98-10208 to BHS). The work of Mark Eijgelsheim is supported by grants from the Netherlands Organization for Health Research and Development (ZonMw) (Priority Medicines Elderly 113102005 to ME and DoelmatigheidsOnderzoek 80–82500–98-10208 to BHS). SHIP: SHIP is supported by the BMBF (grants 01ZZ9603, 01ZZ0103, and 01ZZ0403) and the German Research Foundation (Deutsche Forschungsgemeinschaft [DFG]; grant GR 1912/5–1). SHIP and SHIP-TREND are part of the Community Medicine Research net (CMR) of the Ernst-Moritz-Arndt University Greifswald (EMAU) which is funded by the BMBF as well as the Ministry for Education, Science and Culture and the Ministry of Labor, Equal Opportunities, and Social Affairs of the Federal State of Mecklenburg-West Pomerania. The CMR encompasses several research projects that share data from SHIP. The EMAU is a member of the Center of Knowledge Interchange (CKI) program of the Siemens AG. SNP typing of SHIP and SHIP-TREND using the Illumina Infinium HumanExome BeadChip (version v1.0) was supported by the BMBF (grant 03Z1CN22). We thank all SHIP and SHIP-TREND participants and staff members as well as the genotyping staff involved in the generation of the SNP data. TWINSUK: TwinsUK is funded by the Wellcome Trust, Medical Research Council, European Union, the National Institute for Health Research (NIHR)-funded BioResource, Clinical Research Facility and Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London. UKBB: This research has been conducted using the UK Biobank Resource (application 8256 - Understanding genetic influences in the response of the cardiac electrical system to exercise) and is supported by Medical Research Council grant MR/N025083/1. We also wish to acknowledge the support of the NIHR Cardiovascular Biomedical Research Unit at Barts and Queen Mary University of London, UK. PD Lambiase acknowledges support from the UCLH Biomedicine NIHR. MO is supported by an IEF 2013 Marie Curie fellowship. JR acknowledges support from the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007–2013) under REA grant agreement no. 608765. YFS: The Young Finns Study has been financially supported by the Academy of Finland: grants 286284, 134309 (Eye), 126925, 121584, 124282, 129378 (Salve), 117787 (Gendi), and 41071 (Skidi); the Social Insurance Institution of Finland; Competitive State Research Financing of the Expert Responsibility area of Kuopio, Tampere and Turku University Hospitals (grant X51001); Juho Vainio Foundation; Paavo Nurmi Foundation; Finnish Foundation for Cardiovascular Research; Finnish Cultural Foundation; Tampere Tuberculosis Foundation; Emil Aaltonen Foundation; Yrjö Jahnsson Foundation; Signe and Ane Gyllenberg Foundation; and Diabetes Research Foundation of Finnish Diabetes Association. The expert technical assistance in the statistical analyses by Irina Lisinen is gratefully acknowledged. Cell culture and biochemistry: Funding was provided by the National Institutes of Health (Program of Excellence in Glycoscience award HL107147 to SSA and F32AR063548 to TJM) and the David and Lindsay Morgenthaler Postdoctoral Fellowship (to TJM) and by the Allen Distinguished Investigator Program, through support made by The Paul G. Allen Frontiers Group and the American Heart Association (to SSA). Mutant mouse model: Adamts6 mutant mice were generated and further propagated and analyzed by funding provided by NIH grants HL098180 and HL132024 (to CWL) and by the Allen Distinguished Investigator Program, through support made by The Paul G. Allen Frontiers Group and the American Heart Association (to SSA).

Published
2018

32. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization

Author

Yuki Bradford, Toshiko Tanaka, Jeffrey R. O'Connell, Florence Kyndt, Unnur Thorsteinsdottir, Ivana Kolcic, Xiaoyan Yin, Vincent Probst, Manolis Kellis, Christopher Newton-Cheh, Stefan Kääb, Argelia Medeiros-Domingo, Markus M. Nöthen, Paolo Gasparini, Jean-Jacques Schott, Ruth J. F. Loos, Thomas W. Mühleisen, Annukka Marjamaa, Morris Brown, Igor Rudan, Runjun D. Kumar, Peter J. Schwartz, Lars Lind, Martina Müller-Nurasyid, Xinchen Wang, Joshua C. Denny, Roberto Insolia, Soumya Raychaudhuri, Stephen W. Scherer, Bruno H. Stricker, Alexander Kluttig, Adamo Pio D'Adamo, Laurie A. Boyer, Moritz F. Sinner, Norbert Frey, Nour Eddine El Mokhtari, Thomas Meitinger, Jesper V. Olsen, Gerjan Navis, Steven R. Cummings, Richard W Morris, Nynke Hofman, Marcel den Hoed, Rudolf A. de Boer, Gonçalo R. Abecasis, Mark J. Daly, Dan M. Roden, Christian Gieger, Lyudmyla Kedenko, Marcus Dörr, Thomas P. Cappola, Afshin Parsa, Kari Stefansson, Markus Perola, Mark Eijgelsheim, Fredrik Nyberg, Robert M. Hamilton, Yalda Jamshidi, W. H. Linda Kao, Terho Lehtimäki, Annette Peters, David Schlessinger, Peter P. Pramstaller, James F. Wilson, Vilmundur Gudnason, Florian Kronenberg, Aroon D. Hingorani, Connie R. Bezzina, Abdennasser Bardai, Marylyn D. Ritchie, Andrew S. Plump, Johan Sundström, Daryl Waggott, Chrysoula Dalageorgou, Paul I.W. de Bakker, Uwe Völker, Aaron Isaacs, Oscar H. Franco, Yongmei Liu, Andrew N. Nicolaides, Lia Crotti, Cornelia M. van Duijn, Ben A. Oostra, Arne Pfeufer, Karl Werdan, Michael Morley, Jan A. Kors, Julien Barc, Lewin Eisele, Siegfried Perz, Stéphanie Chatel, Pieter A. van der Vleuten, Sara L. Pulit, Anna F. Dominiczak, Harry Campbell, Alice Ghidoni, Irene Mateo Leach, Nona Sotoodehnia, Nina Mononen, Henriette E. Meyer zu Schwabedissen, Alvaro Alonso, Fabiola Del Greco M, Dan E. Arking, Vera Adamkova, Mike A. Nalls, Valur Emilsson, Edward G. Lakatta, Kirill Tarasov, Alan F. Wright, Lenore J. Launer, Erik Ingelsson, Karin Halina Greiser, Ozren Polasek, Massimo Carella, Daniel F. Gudbjartsson, Bouwe P. Krijthe, Hanna Prucha, Per Hoffmann, Maura Griffin, Stefan Kiechl, Angel Carracedo, Ilja M. Nolte, Christine E. Moravec, Johann Willeit, Joshua C. Bis, Patricia B. Munroe, Marcello Ricardo Paulista Markus, Hailiang Huang, Mika Kähönen, Albert Hofman, Peter H. Whincup, Dirk J. van Veldhuisen, Michael Knoflach, Alicia Lundby, Serena Sanna, Hagen Kälsch, Bernhard Paulweber, Kamil Slowikowski, Luigi Ferrucci, Melanie Waldenberger, Marco Bobbo, Annukka M. Lahtinen, Ann-Christine Syvänen, J. Gustav Smith, Åsa Torinsson Naluai, Jaroslav A. Hubacek, Jeffrey Brandimarto, Wendy S. Post, Lude Franke, Mark J. Caulfield, Folkert W. Asselbergs, André G. Uitterlinden, Stefan Gustafsson, Pim van der Harst, David J. Tester, David S. Siscovick, David O. Arnar, Sarah H Wild, Elizabeth J. Rossin, Albert V. Smith, Bruce M. Psaty, Georg Ehret, Alan R. Shuldiner, Stephen Newhouse, Kimmo Kontula, Maria Brion, Andre Franke, Peter W. Macfarlane, Mika Kivimäki, Tamara B. Harris, Lasse Oikarinen, Tamara T. Koopmann, Kenneth B. Margulies, Aravinda Chakravarti, Gianfranco Sinagra, Maarten P. van den Berg, Veikko Salomaa, Karl-Heinz Jöckel, Daniel S. Evans, Caroline Hayward, Kimmo Porthan, Michael J. Ackerman, Jacqueline C.M. Witteman, Arthur A.M. Wilde, Martin G. Larson, Kasper Lage, Manuela Uda, Susan R. Heckbert, Joel S. Bader, Graham Watt, María Dolores Torres, Stephan B. Felix, Jerome I. Rotter, Pau Navarro, Meena Kumari, Johan Ärnlöv, Andrew D. Paterson, Antti Jula, Olli T. Raitakari, Raimund Erbel, Christopher J. O'Donnell, Britt M. Beckmann, Peter A. Noseworthy, Tim D. Spector, Wai K. Lee, Leopoldo Zelante, Nilesh J. Samani, John R. Giudicessi, Harold Snieder, Dag S. Thelle, David Ellinghaus, Eimo Martens, James B. Strait, Jorma S. A. Viikari, Andrew D. Johnson, Antonella Mulas, Hilma Holm, Johannes Haerting, Annamaria Iorio, Rebecca L. Zuvich, Sheila Ulivi, Andrew A. Hicks, Elijah R. Behr, Leo-Pekka Lyytikäinen, Bernhard Strohmer, Marco Orru, Claudia Lamina, Sandosh Padmanabhan, Christian Fuchsberger, Andrie G. Panayiotou, Ehret, Georg Benedikt, Internal Medicine, Public Health, Epidemiology, Rehabilitation Medicine, Medical Informatics, Clinical Genetics, Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Vascular Ageing Programme (VAP), Ethical, Legal, Social Issues in Genetics (ELSI), Stem Cell Aging Leukemia and Lymphoma (SALL), Arking, D, Pulit, S, Crotti, L, van der Harst, P, Munroe, P, Koopmann, T, Sotoodehnia, N, Rossin, E, Morley, M, Wang, X, Johnson, A, Lundby, A, Gudbjartsson, D, Noseworthy, P, Eijgelsheim, M, Bradford, Y, Tarasov, K, Dörr, M, Müller-Nurasyid, M, Lahtinen, A, Nolte, I, Smith, A, Bis, J, Isaacs, A, Newhouse, S, Evans, D, Post, W, Waggott, D, Lyytikäinen, L, Hicks, A, Eisele, L, Ellinghaus, D, Hayward, C, Navarro, P, Ulivi, S, Tanaka, T, Tester, D, Chatel, S, Gustafsson, S, Kumari, M, Morris, R, Naluai, A, Padmanabhan, S, Kluttig, A, Strohmer, B, Panayiotou, A, Torres, M, Knoflach, M, Hubacek, J, Slowikowski, K, Raychaudhuri, S, Kumar, R, Harris, T, Launer, L, Shuldiner, A, Alonso, A, Bader, J, Ehret, G, Huang, H, Kao, W, Strait, J, Macfarlane, P, Brown, M, Caulfield, M, Samani, N, Kronenberg, F, Willeit, J, Smith, J, Greiser, K, Meyer Zu Schwabedissen, H, Werdan, K, Carella, M, Zelante, L, Heckbert, S, Psaty, B, Rotter, J, Kolcic, I, Polašek, O, Wright, A, Griffin, M, Daly, M, Arnar, D, Hólm, H, Thorsteinsdottir, U, Denny, J, Roden, D, Zuvich, R, Emilsson, V, Plump, A, Larson, M, O'Donnell, C, Yin, X, Bobbo, M, D'Adamo, A, Iorio, A, Sinagra, G, Carracedo, A, Cummings, S, Nalls, M, Jula, A, Kontula, K, Marjamaa, A, Oikarinen, L, Perola, M, Porthan, K, Erbel, R, Hoffmann, P, Jöckel, K, Kälsch, H, Nöthen, M, den Hoed, M, Loos, R, Thelle, D, Gieger, C, Meitinger, T, Perz, S, Peters, A, Prucha, H, Sinner, M, Waldenberger, M, de Boer, R, Franke, L, van der Vleuten, P, Beckmann, B, Martens, E, Bardai, A, Hofman, N, Wilde, A, Behr, E, Dalageorgou, C, Giudicessi, J, Medeiros-Domingo, A, Kyndt, F, Probst, V, Ghidoni, A, Insolia, R, Hamilton, R, Scherer, S, Brandimarto, J, Margulies, K, Moravec, C, Greco, M, Fuchsberger, C, O'Connell, J, Lee, W, Watt, G, Campbell, H, Wild, S, El Mokhtari, N, Frey, N, Asselbergs, F, Mateo Leach, I, Navis, G, van den Berg, M, van Veldhuisen, D, Kellis, M, Krijthe, B, Franco, O, Hofman, A, Kors, J, Uitterlinden, A, Witteman, J, Kedenko, L, Lamina, C, Oostra, B, Abecasis, G, Lakatta, E, Mulas, A, Orrú, M, Schlessinger, D, Uda, M, Markus, M, Völker, U, Snieder, H, Spector, T, Arnlöv, J, Lind, L, Sundström, J, Syvänen, A, Kivimaki, M, Kähönen, M, Mononen, N, Raitakari, O, Viikari, J, Adamkova, V, Kiechl, S, Brion, M, Nicolaides, A, Paulweber, B, Haerting, J, Dominiczak, A, Nyberg, F, Whincup, P, Hingorani, A, Schott, J, Bezzina, C, Ingelsson, E, Ferrucci, L, Gasparini, P, Wilson, J, Rudan, I, Franke, A, Mühleisen, T, Pramstaller, P, Lehtimäki, T, Paterson, A, Parsa, A, Liu, Y, van Duijn, C, Siscovick, D, Gudnason, V, Jamshidi, Y, Salomaa, V, Felix, S, Sanna, S, Ritchie, M, Stricker, B, Stefansson, K, Boyer, L, Cappola, T, Olsen, J, Lage, K, Schwartz, P, Kääb, S, Chakravarti, A, Ackerman, M, Pfeufer, A, de Bakker, P, Newton-Cheh, C, Arking, Dan E., Pulit, Sara L., Crotti, Lia, Van Der Harst, Pim, Munroe, Patricia B., Koopmann, Tamara T., Sotoodehnia, Nona, Rossin, Elizabeth J., Morley, Michael, Wang, Xinchen, Johnson, Andrew D., Lundby, Alicia, Gudbjartsson, Daníel F., Noseworthy, Peter A., Eijgelsheim, Mark, Bradford, Yuki, Tarasov, Kirill V., Dörr, Marcu, Müller Nurasyid, Martina, Lahtinen, Annukka M., Nolte, Ilja M., Smith, Albert Vernon, Bis, Joshua C., Isaacs, Aaron, Newhouse, Stephen J., Evans, Daniel S., Post, Wendy S., Waggott, Daryl, Lyytikäinen, Leo Pekka, Hicks, Andrew A., Eisele, Lewin, Ellinghaus, David, Hayward, Caroline, Navarro, Pau, Ulivi, Sheila, Tanaka, Toshiko, Tester, David J., Chatel, Stéphanie, Gustafsson, Stefan, Kumari, Meena, Morris, Richard W., Naluai, Asa T., Padmanabhan, Sandosh, Kluttig, Alexander, Strohmer, Bernhard, Panayiotou, Andrie G., Torres, Maria, Knoflach, Michael, Hubacek, Jaroslav A., Slowikowski, Kamil, Raychaudhuri, Soumya, Kumar, Runjun D., Harris, Tamara B., Launer, Lenore J., Shuldiner, Alan R., Alonso, Alvaro, Bader, Joel S., Ehret, Georg, Huang, Hailiang, Kao, W. H. Linda, Strait, James B., Macfarlane, Peter W., Brown, Morri, Caulfield, Mark J., Samani, Nilesh J., Kronenberg, Florian, Willeit, Johann, Smith, J. Gustav, Greiser, Karin H., Zu Schwabedissen, Henriette Meyer, Werdan, Karl, Carella, Massimo, Zelante, Leopoldo, Heckbert, Susan R., Psaty, Bruce M., Rotter, Jerome I., Kolcic, Ivana, Polašek, Ozren, Wright, Alan F., Griffin, Maura, Daly, Mark J., Arnar, David O., Hólm, Hilma, Thorsteinsdottir, Unnur, Denny, Joshua C., Roden, Dan M., Zuvich, Rebecca L., Emilsson, Valur, Plump, Andrew S., Larson, Martin G., O'Donnell, Christopher J., Yin, Xiaoyan, Bobbo, Marco, D'Adamo, ADAMO PIO, Iorio, Annamaria, Sinagra, Gianfranco, Carracedo, Angel, Cummings, Steven R., Nalls, Michael A., Jula, Antti, Kontula, Kimmo K., Marjamaa, Annukka, Oikarinen, Lasse, Perola, Marku, Porthan, Kimmo, Erbel, Raimund, Hoffmann, Per, Jöckel, Karl Heinz, Kälsch, Hagen, Nöthen, Markus M., Den Hoed, Marcel, Loos, Ruth J. F., Thelle, Dag S., Gieger, Christian, Meitinger, Thoma, Perz, Siegfried, Peters, Annette, Prucha, Hanna, Sinner, Moritz F., Waldenberger, Melanie, De Boer, Rudolf A., Franke, Lude, Van Der Vleuten, Pieter A., Beckmann, Britt Maria, Martens, Eimo, Bardai, Abdennasser, Hofman, Nynke, Wilde, Arthur A. M., Behr, Elijah R., Dalageorgou, Chrysoula, Giudicessi, John R., Medeiros Domingo, Argelia, Barc, Julien, Kyndt, Florence, Probst, Vincent, Ghidoni, Alice, Insolia, Roberto, Hamilton, Robert M., Scherer, Stephen W., Brandimarto, Jeffrey, Margulies, Kenneth, Moravec, Christine E., Del Greco M, Fabiola, Fuchsberger, Christian, O'Connell, Jeffrey R., Lee, Wai K., Watt, Graham C. M., Campbell, Harry, Wild, Sarah H., El Mokhtari, Nour E., Frey, Norbert, Asselbergs, Folkert W., Leach, Irene Mateo, Navis, Gerjan, Van Den Berg, Maarten P., Van Veldhuisen, Dirk J., Kellis, Manoli, Krijthe, Bouwe P., Franco, Oscar H., Hofman, Albert, Kors, Jan A., Uitterlinden, André G., Witteman, Jacqueline C. M., Kedenko, Lyudmyla, Lamina, Claudia, Oostra, Ben A., Abecasis, Gonçalo R., Lakatta, Edward G., Mulas, Antonella, Orrú, Marco, Schlessinger, David, Uda, Manuela, Markus, Marcello R. P., Völker, Uwe, Snieder, Harold, Spector, Timothy D., Ärnlöv, Johan, Lind, Lar, Sundström, Johan, Syvänen, Ann Christine, Kivimaki, Mika, Kähönen, Mika, Mononen, Nina, Raitakari, Olli T., Viikari, Jorma S., Adamkova, Vera, Kiechl, Stefan, Brion, Maria, Nicolaides, Andrew N., Paulweber, Bernhard, Haerting, Johanne, Dominiczak, Anna F., Nyberg, Fredrik, Whincup, Peter H., Hingorani, Aroon D., Schott, Jean Jacque, Bezzina, Connie R., Ingelsson, Erik, Ferrucci, Luigi, Gasparini, Paolo, Wilson, James F., Rudan, Igor, Franke, Andre, Mühleisen, Thomas W., Pramstaller, Peter P., Lehtimäki, Terho J., Paterson, Andrew D., Parsa, Afshin, Liu, Yongmei, Van Duijn, Cornelia M., Siscovick, David S., Gudnason, Vilmundur, Jamshidi, Yalda, Salomaa, Veikko, Felix, Stephan B., Sanna, Serena, Ritchie, Marylyn D., Stricker, Bruno H., Stefansson, Kari, Boyer, Laurie A., Cappola, Thomas P., Olsen, Jesper V., Lage, Kasper, Schwartz, Peter J., Kääb, Stefan, Chakravarti, Aravinda, Ackerman, Michael J., Pfeufer, Arne, De Bakker, Paul I. W., Newton Cheh, Christopher, Cardiology, ACS - Amsterdam Cardiovascular Sciences, and Human Genetics

Subjects
Male, Candidate gene, Myocardium/metabolism, LOCI, Medizin, Heart electrophysiology, Genome-wide association study, Arrhythmias, Bioinformatics, Medical and Health Sciences, Heart Ventricle, Sudden cardiac death, Electrocardiography, PR INTERVAL, Arrhythmias, Cardiac/genetics, Death, Sudden, Cardiac/etiology, Genetics, ddc:616, Cardiac electrophysiology, Adult, Aged, Arrhythmias, Cardiac, Calcium Signaling, Death, Sudden, Cardiac, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Heart Ventricles, Humans, Long QT Syndrome, Middle Aged, Myocardium, Polymorphism, Single Nucleotide, COMMON VARIANTS, Heart Ventricles/metabolism, Single Nucleotide, Long QT Syndrome/genetics, CHRONIC HEART-FAILURE, Death, Heart ventricle arrhythmia, genetic association study, gene, SNP, heart, Genome-Wide Association Study/methods, Long QT syndrome, QRS DURATION, Cardiac, Cardiac/etiology, Human, QT interval, congenital, hereditary, and neonatal diseases and abnormalities, Electrocardiography/methods, TRPM7, BIO/18 - GENETICA, Cardiac/genetics, Biology, Article, sudden cardiac death, QRS complex, CARDIAC REPOLARIZATION, medicine, Repolarization, cardiovascular diseases, GENOME-WIDE ASSOCIATION, Polymorphism, MED/01 - STATISTICA MEDICA, calcium, ta1184, Calcium signaling, Calcium Signaling/genetics, MED/11 - MALATTIE DELL'APPARATO CARDIOVASCOLARE, ta3121, Cardiovascular risk, medicine.disease, SARCOPLASMIC-RETICULUM, Sudden, MODEL, Genetic association, myocardial repolarization, Genetic variability, Gene expression, Clinical Medicine, genetic, Controlled study
Abstract

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 similar to 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.

Published
2014

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