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Genome-wide association study of PR interval

Nature Genetics volume 42, pages 153–159 (2010)Cite this article

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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 × 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.

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Figure 1: Manhattan plot of genome-wide association analyses.
Figure 2: Association results at each significantly associated locus.

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References

  1. Havlik, R.J., Garrison, R.J., Fabsitz, R. & Feinleib, M. Variability of heart rate, P-R, QRS and Q-T durations in twins. J. Electrocardiol. 13, 45–48 (1980).

    Article  CAS  Google Scholar 

  2. Hanson, B. et al. Genetic factors in the electrocardiogram and heart rate of twins reared apart and together. Am. J. Cardiol. 63, 606–609 (1989).

    Article  CAS  Google Scholar 

  3. Pilia, G. et al. Heritability of cardiovascular and personality traits in 6,148 Sardinians. PLoS Genet. 2, e132 (2006).

    Article  Google Scholar 

  4. Newton-Cheh, C. et al. Genome wide association study of electrocardiographic and heart rate variability traits: the Framingham Heart Study. BMC Med. Genet. 8, S7 (2007).

    Article  Google Scholar 

  5. Benjamin, E.J. et al. Prevention of atrial fibrillation: report from a national heart, lung, and blood institute workshop. Circulation 119, 606–618 (2009).

    Article  Google Scholar 

  6. Heeringa, J. et al. Prevalence, incidence and lifetime risk of atrial fibrillation: the Rotterdam study. Eur. Heart J. 27, 949–953 (2006).

    Article  Google Scholar 

  7. Fox, C.S. et al. Parental atrial fibrillation as a risk factor for atrial fibrillation in offspring. J. Am. Med. Assoc. 291, 2851–2855 (2004).

    Article  CAS  Google Scholar 

  8. Gudbjartsson, D.F. et al. Variants conferring risk of atrial fibrillation on chromosome 4q25. Nature 448, 353–357 (2007).

    Article  CAS  Google Scholar 

  9. Benjamin, E.J. et al. Variants in ZFHX3 are associated with atrial fibrillation in individuals of European ancestry. Nat. Genet. 41, 879–881 (2009).

    Article  CAS  Google Scholar 

  10. Sinner, M.F. et al. The non-synonymous coding IKr-channel variant KCNH2–K897T is associated with atrial fibrillation: results from a systematic candidate gene-based analysis of KCNH2 (HERG). Eur. Heart J. 29, 907–914 (2008).

    Article  CAS  Google Scholar 

  11. Olsson, S.B., Cotoi, S. & Varnauskas, E. Monophasic action potential and sinus rhythm stability after conversion of atrial fibrillation. Acta Med. Scand. 190, 381–387 (1971).

    Article  CAS  Google Scholar 

  12. Soliman, E.Z., Prineas, R.J., Case, L.D., Zhang, Z.M. & Goff, D.C. Jr. Ethnic distribution of ECG predictors of atrial fibrillation and its impact on understanding the ethnic distribution of ischemic stroke in the Atherosclerosis Risk in Communities (ARIC) study. Stroke 40, 1204–1211 (2009).

    Article  Google Scholar 

  13. Cheng, S. et al. Long-term outcomes in individuals with prolonged PR interval or first-degree atrioventricular block. J. Am. Med. Assoc. 301, 2571–2577 (2009).

    Article  CAS  Google Scholar 

  14. Schnabel, R.B. et al. Development of a risk score for atrial fibrillation (the Framingham Heart Study): a community-based cohort study. Lancet 373, 739–745 (2009).

    Article  Google Scholar 

  15. Harris, T.B. et al. Age, Gene/Environment Susceptibility-Reykjavik study: multidisciplinary applied phenomics. Am. J. Epidemiol. 165, 1076–1087 (2007).

    Article  Google Scholar 

  16. ARIC Investigators. The Atherosclerosis Risk in Communities (ARIC) study: design and objectives. Am. J. Epidemiol. 129, 687–702 (1989).

  17. Fried, L.P. et al. The Cardiovascular Health Study: design and rationale. Ann. Epidemiol. 1, 263–276 (1991).

    Article  CAS  Google Scholar 

  18. Splansky, G.L. et al. The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination. Am. J. Epidemiol. 165, 1328–1335 (2007).

    Article  Google Scholar 

  19. Wichmann, H.E., Gieger, C. & Illig, T. KORA-gen–resource for population genetics, controls and a broad spectrum of disease phenotypes. Gesundheitswesen 67, S26–S30 (2005).

    Article  Google Scholar 

  20. Hofman, A. et al. The Rotterdam Study: objectives and design update. Eur. J. Epidemiol. 22, 819–829 (2007).

    Article  Google Scholar 

  21. The International HapMap Consortium. A haplotype map of the human genome. Nature 437, 1299–1320 (2005).

  22. Nothnagel, M., Ellinghaus, D., Schreiber, S., Krawczak, M. & Franke, A. A comprehensive evaluation of SNP genotype imputation. Hum. Genet. 125, 163–171 (2009).

    Article  CAS  Google Scholar 

  23. Chung, M.K. et al. C-reactive protein elevation in patients with atrial arrhythmias: inflammatory mechanisms and persistence of atrial fibrillation. Circulation 104, 2886–2891 (2001).

    Article  CAS  Google Scholar 

  24. Devlin, B. & Roeder, K. Genomic control for association studies. Biometrics 55, 997–1004 (1999).

    Article  CAS  Google Scholar 

  25. Zimmermann, K. et al. Sensory neuron sodium channel NaV1.8 is essential for pain at low temperatures. Nature 447, 855–858 (2007).

    Article  CAS  Google Scholar 

  26. Rabert, D.K. et al. A tetrodotoxin-resistant voltage-gated sodium channel from human dorsal root ganglia, hPN3/SCN10A. Pain 78, 107–114 (1998).

    Article  CAS  Google Scholar 

  27. Remme, C.A., Wilde, A.A. & Bezzina, C.R. Cardiac sodium channel overlap syndromes: different faces of SCN5A mutations. Trends Cardiovasc. Med. 18, 78–87 (2008).

    Article  CAS  Google Scholar 

  28. Newton-Cheh, C. et al. Common variants at ten loci influence QT interval duration in the QTGEN Study. Nat. Genet. 41, 399–406 (2009).

    Article  CAS  Google Scholar 

  29. Pfeufer, A. et al. Common variants at ten loci modulate the QT interval duration in the QTSCD Study. Nat. Genet. 41, 407–414 (2009).

    Article  CAS  Google Scholar 

  30. Jay, P.Y. et al. Function follows form: cardiac conduction system defects in Nkx2-5 mutation. Anat. Rec. A Discov. Mol. Cell. Evol. Biol. 280, 966–972 (2004).

    Article  Google Scholar 

  31. Mesbah, K., Harrelson, Z., Théveniau-Ruissy, M., Papaioannou, V.E. & Kelly, R.G. Tbx3 is required for outflow tract development. Circ. Res. 103, 743–750 (2008).

    Article  CAS  Google Scholar 

  32. Moskowitz, I.P. et al. A molecular pathway including Id2, Tbx5, and Nkx2-5 required for cardiac conduction system development. Cell 129, 1365–1376 (2007).

    Article  CAS  Google Scholar 

  33. Mori, A.D. et al. Tbx5-dependent rheostatic control of cardiac gene expression and morphogenesis. Dev. Biol. 297, 566–586 (2006).

    Article  CAS  Google Scholar 

  34. Postma, A.V. et al. A gain-of-function TBX5 mutation is associated with atypical Holt-Oram syndrome and paroxysmal atrial fibrillation. Circ. Res. 102, 1433–1442 (2008).

    Article  CAS  Google Scholar 

  35. Hoogaars, W.M. et al. Tbx3 controls the sinoatrial node gene program and imposes pacemaker function on the atria. Genes Dev. 21, 1098–1112 (2007).

    Article  CAS  Google Scholar 

  36. Schinzel, A. Ulnar-mammary syndrome. J. Med. Genet. 24, 778–781 (1987).

    Article  CAS  Google Scholar 

  37. Gratton, J.P., Bernatchez, P. & Sessa, W.C. Caveolae and caveolins in the cardiovascular system. Circ. Res. 94, 1408–1417 (2004).

    Article  CAS  Google Scholar 

  38. Zhao, Y.Y. et al. Defects in caveolin-1 cause dilated cardiomyopathy and pulmonary hypertension in knockout mice. Proc. Natl. Acad. Sci. USA 99, 11375–11380 (2002).

    Article  CAS  Google Scholar 

  39. Smits, P. et al. The transcription factors L-Sox5 and Sox6 are essential for cartilage formation. Dev. Cell 1, 277–290 (2001).

    Article  CAS  Google Scholar 

  40. Stankunas, K. et al. Pbx/Meis deficiencies demonstrate multigenetic origins of congenital heart disease. Circ. Res. 103, 702–709 (2008).

    Article  CAS  Google Scholar 

  41. Pandur, P., Läsche, M., Eisenberg, L.M. & Kühl, M. Wnt-11 activation of a non-canonical Wnt signalling pathway is required for cardiogenesis. Nature 418, 636–641 (2002).

    Article  CAS  Google Scholar 

  42. Su, Z.J. et al. A vascular cell-restricted RhoGAP, p73RhoGAP, is a key regulator of angiogenesis. Proc. Natl. Acad. Sci. USA 101, 12212–12217 (2004).

    Article  CAS  Google Scholar 

  43. Pe'er, I., Yelensky, R., Altshuler, D. & Daly, M.J. Estimation of the multiple testing burden for genomewide association studies of nearly all common variants. Genet. Epidemiol. 32, 381–385 (2008).

    Article  Google Scholar 

  44. Willems, J.L. et al. The diagnostic performance of computer programs for the interpretation of electrocardiograms. N. Engl. J. Med. 325, 1767–1773 (1991).

    Article  CAS  Google Scholar 

  45. Perz, S., et al. & for the KORA Study Group Does computerized ECG analysis provide sufficiently consistent QT interval estimates for genetic research? in Analysis of Biomedical Signals and Images (eds. Jan, J., Kozumplik, J. & Provaznik, I.) 47–49 (Vutium, Brno, Czech Republic, 2004).

  46. Arking, D.E. et al. A common genetic variant in the NOS1 regulator NOS1AP modulates cardiac repolarization. Nat. Genet. 38, 644–651 (2006).

    Article  CAS  Google Scholar 

  47. van Bemmel, J.H., Kors, J.A. & van Herpen, G. Methodology of the modular ECG analysis system MEANS. Methods Inf. Med. 29, 346–353 (1990).

    Article  CAS  Google Scholar 

  48. Rabbee, N. & Speed, T.P. A genotype calling algorithm for Affymetrix SNP arrays. Bioinformatics 22, 7–12 (2006).

    Article  CAS  Google Scholar 

  49. Li, Y., Willer, C., Sanna, S. & Abecasis, G. Genotype imputation. Annu. Rev. Genomics Hum. Genet. 10, 387–406 (2009).

    Article  CAS  Google Scholar 

  50. Servin, B. & Stephens, M. Imputation based analysis of association studies: candidate regions and quantitative traits. PLoS Genet. 3, e114 (2007).

    Article  Google Scholar 

  51. Chen, W.M. & Abecasis, G. Family-based association tests for genomewide association scans. Am. J. Hum. Genet. 81, 913–926 (2007).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We gratefully acknowledge all of the participants in the studies. AGES: US National Institutes of Health (NIH) N01-AG-12100, US National Institute on Aging (NIA) and NIH Intramural Research Programs, Hjartavernd (Icelandic Heart Association), Althingi (Icelandic parliament), US National Heart, Lung, and Blood Institute (NHLBI), US National Eye Institute and US National Institute on Deafness and Other Communication Disorders. ARIC: NHLBI N01-HC-55015, N01-HC-55016, N01-HC-55018 through N01-HC-55022, R01-HL-087641, R01-HL-59367, R01-HL-086694 and R01-HL-054512; US National Human Genome Research Institute (NHGRI) U01-HG004402; NIH HHSN268200625226C; and the Donald W. Reynolds Cardiovascular Clinical Research Center. Infrastructure was supported by NIH UL1-RR025005. CCAF: NHLBI R01-HL090620 and P50-HL077107, and intramural funding from the Heart and Vascular Institute, Department of Cardiovascular Medicine, Cleveland Clinic. CHS: NHLBI N01-HC-85079 through N01-HC-85086, N01-HC-35129, N01-HC-15103, N01-HC-55222, N01-HC-75150, N01-HC-45133, U01-HL-080295, R01-HL-087652 and R01-HL-088456; US National Center for Research Resources M01-RR-00425; National Institute of Diabetes and Digestive and Kidney Diseases DK063491; US National Institute of Neurological Disorders and Stroke; and the Cedars-Sinai Board of Governors. FHS: NIH N01-HC-25195, HL-076784, AG-028321, N01-HC25195, HL-080025 and 6R01-NS-17950; NHLBI N01-HC-25195; Boston University School of Medicine and Boston Medical Center (LINGA-II); the Robert Dawson Evans Endowment; the Doris Duke Charitable Foundation; the SHARe project; Deutsche Forschungsgemeinschaft fellowship SCHN 1149/1-1; Affymetrix contract for genotyping services (N02-HL-6-4278); and Pfizer. KORA/AFNET: We thank B. Pütz, M. Putz and G. Fischer for their contributions to genotyping and imputation. Bundesministerium für Bildung und Forschung Nationales Genomforschungsnetz; 01-GS-0499, 01-GR-0103, 01-GR-0803, AFNET 01-GI-0204 01-GS-0838, the Leducq Foundation 07-CVD 03, Ludwig-Maximilians University (LMU) FöFoLe 557/569, the LMU Excellence Initiative, MC Health as part of LMUinnovativ, the Helmholtz Zentrum München für Gesundheit und Umwelt and the state of Bavaria. Rotterdam Study: We thank P. Arp, M. Jhamai, M. Moorhouse, M. Verkerk and S. Bervoets for their help in creating the database, K. Estrada for his help with the analyses and M. Struchalin for contributions to genotype imputation. Nederlandse Organisatie voor Wetenschappelijk Onderzoek (The Netherlands Organisation for Scientific Research) 175.010.2005.011, 911.03.012 and 050-060-810, the Research Institute of Diseases in the Elderly, Netherlands Genome Initiative, Stichting Zorgonderzoek Nederland-Medische Wetenschappen (The Netherlands Organisation for Health Research and Development), Netherlands Hartstichting, Netherlands Ministry of Education Culture and Science, Netherlands Ministry of Health Welfare and Sports; the European Commission; Erasmus Medical Center, Erasmus University Rotterdam and the municipality of Rotterdam. SardiNIA: We thank A. Scuteri and M. Orrù for longstanding, continual support of the project and for phenotype characterization. NIA NO1-AG-1-2109, 263-MA-410953, NIH and NIA Intramural Research Programs, NHGRI and NHLBI. Role of the sponsors: None of the funding organizations had any role in the design and conduct of the study; collection, management, analysis and interpretation of the data; or preparation, review or approval of the manuscript. More detailed acknowledgments can be found in the Supplementary Note.

Author information

Author notes

  1. Arne Pfeufer, Charlotte van Noord, Kristin D Marciante, Dan E Arking, Martin G Larson, Albert Vernon Smith, Kirill V Tarasov, Vilmundur Gudnason, Patrick T Ellinor, Serena Sanna, Stefan Kääb, Jacqueline C M Witteman, Alvaro Alonso, Emelia J Benjamin and Susan R Heckbert: These authors contributed equally to this work.

Authors and Affiliations

  1. Institute of Human Genetics, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany

    Arne Pfeufer & Thomas Meitinger

  2. Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany

    Arne Pfeufer & Thomas Meitinger

  3. Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands

    Charlotte van Noord, Germaine C Verwoert, Fernando Rivadeneira, Albert Hofman, Bruno H C Stricker, André G Uitterlinden, Cornelia M van Duijn & Jacqueline C M Witteman

  4. Dutch Medicines Evaluation Board, The Hague, The Netherlands

    Charlotte van Noord

  5. Netherlands Consortium on Healthy Aging (NCHA) Leiden, The Netherlands

    Charlotte van Noord & Jacqueline C M Witteman

  6. Department of Medicine, University of Washington, Seattle, Washington, USA

    Kristin D Marciante, Joshua C Bis & Bruce M Psaty

  7. McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, USA

    Dan E Arking, Georg B Ehret & Aravinda Chakravarti

  8. Department of Mathematics and Statistics, Boston University, Boston, Massachusetts, USA

    Martin G Larson

  9. National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, USA

    Martin G Larson, Thomas J Wang, Renate B Schnabel, Ramachandran S Vasan, Daniel Levy & Emelia J Benjamin

  10. Icelandic Heart Association, Heart Preventive Clinic and Research Institute, Kopavogur, Iceland

    Albert Vernon Smith, Thor Aspelund, Gudny Eiriksdottir & Vilmundur Gudnason

  11. Laboratory of Cardiovascular Science, National Institute on Aging, Baltimore, Maryland, USA

    Kirill V Tarasov, Samer S Najjar & Edward Lakatta

  12. Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland, USA

    Kirill V Tarasov & David Schlessinger

  13. Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany

    Martina Müller, Wiebke Sauter, Christian Gieger & H-Erich Wichmann

  14. Department of Medicine I, Klinikum Grosshadern, Munich, Germany

    Martina Müller, Moritz F Sinner, Britt M Beckmann & Stefan Kääb

  15. Division of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, USA

    Nona Sotoodehnia

  16. Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands

    Germaine C Verwoert, Fernando Rivadeneira, Bruno H C Stricker & André G Uitterlinden

  17. Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA

    Man Li, W H Linda Kao, Anna Köttgen & Josef Coresh

  18. Department of Epidemiology, University of Washington, Seattle, Washington, USA

    Bruce M Psaty & Susan R Heckbert

  19. Department of Health Services, University of Washington, Seattle, Washington, USA

    Bruce M Psaty

  20. Group Health Research Institute, Seattle, Washington, USA

    Bruce M Psaty & Susan R Heckbert

  21. Department of Biostatistics, University of Washington, Seattle, Washington, USA

    Kenneth Rice

  22. Department of Common Diseases Genetics Program, Medical Genetics Institute, Cedars-Sinai Medical Center, West Hollywood, California, USA

    Jerome I Rotter

  23. Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands

    Jan A Kors

  24. Inspectorate for Health Care, The Hague, The Netherlands

    Bruno H C Stricker

  25. Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA

    Steven A Lubitz

  26. Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA

    Steven A Lubitz, Christopher Newton-Cheh, Thomas J Wang & Patrick T Ellinor

  27. Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA

    Christopher Newton-Cheh & Patrick T Ellinor

  28. Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts, USA

    Christopher Newton-Cheh, Thomas J Wang & Patrick T Ellinor

  29. Boston University School of Medicine, Boston, Massachusetts, USA

    Jared W Magnani & Ramachandran S Vasan

  30. Gutenberg Heart Study, Medical Clinic II (Cardiology), Johannes Gutenberg-University, Mainz, Germany

    Renate B Schnabel

  31. Heart & Vascular and Lerner Research Institutes, Cleveland Clinic, Cleveland, Ohio, USA

    Mina K Chung, John Barnard, Jonathan D Smith & David R Van Wagoner

  32. Heart Preventive Clinical and Research Institute, University of Iceland, Reykjavik, Iceland

    Thor Aspelund & Vilmundur Gudnason

  33. Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Baltimore, Maryland, USA

    Tamara B Harris & Lenore J Launer

  34. Istituto di Neurogenetica e Neurofarmacologia, Consiglio Nazionale delle Ricerche, Monserrato, Cagliari, Italy.,

    Manuela Uda & Serena Sanna

  35. Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA

    Gonçalo R Abecasis

  36. Statistical Genetics, Max Planck Institute of Psychiatry, Munich, Germany

    Bertram Müller-Myhsok

  37. Human Genetics Center and Institute for Molecular Medicine, University of Texas Health Science Center, Houston, Texas, USA

    Eric Boerwinkle

  38. Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA

    Aravinda Chakravarti

  39. Department of Epidemiology and Prevention, Division of Public Health Sciences, Epidemiological Cardiology Research Center (EPICARE), Wake Forest University Medical Center, Winston-Salem, North Carolina, USA

    Elsayed Z Soliman

  40. Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA

    Kathryn L Lunetta

  41. Institute of Biological and Medical Imaging, Helmholtz Center, Munich, Germany

    Siegfried Perz

  42. Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany

    H-Erich Wichmann

  43. Klinikum Grosshadern, Munich, Germany

    H-Erich Wichmann

  44. Center for Population Studies, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA

    Daniel Levy

  45. Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA

    Alvaro Alonso

  46. Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA

    Emelia J Benjamin

  47. Cardiology and Preventive Medicine Division, Evans Department of Medicine, Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, Massachusetts, USA

    Emelia J Benjamin

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Contributions

Study concept and design: A.P., D.E.A., A.V.S., N.S., J.I.R., A.H., B.H.C.S., C.M.v.D., G.E., A.C., K.L.L., V.G., P.T.E., S.S., S.K., J.C.M.W., E.J.B., S.R.H. Acquisition of data: A.P., C.v.N., D.E.A., K.V.T., M.F.S., J.I.R., F.R., J.A.K., B.H.C.S., A.G.U., B.M.B., W.S., C.G., C.N.-C., T.J.W., M.K.C., J.D.S., D.R.V.W., S.S.N., G.B.E., A.C., E.Z.S., S.P., J.C.M.W., A.A., S.R.H. Analysis and interpretation of data: A.P., C.v.N., K.D.M., D.E.A., A.V.S., M.M., N.S., G.C.V., M.L., J.I.R., C.N.-C., T.J.W., R.S.V., T.A., S.S.N., G.B.E., A.C., E.Z.S., K.L.L., S.P., V.G., E.J.B., S.R.H. Drafting the manuscript: A.P., D.E.A., N.S., P.T.E., S.K., E.J.B., S.R.H. Critical revision of the manuscript: C.v.N., K.D.M., M.G.L., A.V.S., K.V.T., M.M., M.F.S., G.C.V., W.H.L.K., A.K., J.C., J.C.B., B.M.P., K.R., J.I.R., F.R., A.H., J.A.K., B.H.C.S., A.G.U., C.M.v.D., B.M.B., C.G., S.A.L., C.N.-C., T.J.W., J.W.M., R.B.S., M.K.C., J.B., J.D.S., D.R.V.W., R.S.V., G.E., L.J.L., T.B.H., E.L., D.S., M.U., G.R.A., B.M.-M., E.B., E.Z.S., K.L.L., H.-E.W., T.M., D.L., V.G., S.S., J.C.M.W., A.A. Statistical analysis: A.P., C.v.N., D.E.A., M.G.L., A.V.S., M.M., G.C.V., M.L., W.H.L.K., J.C.B., K.R., T.A., K.L.L. Obtaining funding: A.P., M.F.S., B.M.P., J.I.R., F.R., A.H., A.G.U., M.K.C., J.D.S., R.S.V., G.E., D.S., M.U., G.R.A., E.B., A.C., H.-E.W., T.M., D.L., V.G., J.C.M.W., S.R.H. Study supervision: J.I.R., F.R., A.H., B.H.C.S., A.G.U., C.M.v.D., G.E., A.C., V.G., J.C.M.W., S.R.H. The following authors had full data access and take responsibility for analysis: A.P., C.v.N., M.M., J.I.R., A.C., K.L.L, S.R.H. Cohort study investigators: a list of investigators by cohort study may be found in the Supplementary Note.

Corresponding authors

Correspondence to Arne Pfeufer or Susan R Heckbert.

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Competing interests

A.C. is a paid member of the scientific advisory board of Affymetrix, a role that is managed by the Committee on Conflict of Interest of the Johns Hopkins University School of Medicine.

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Supplementary Tables 1–4 and Supplementary Note (PDF 345 kb)

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Pfeufer, A., van Noord, C., Marciante, K. et al. Genome-wide association study of PR interval. Nat Genet 42, 153–159 (2010). https://doi.org/10.1038/ng.517

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