Year: 2017
Type: article
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.
Authors: Ingrid E. Christophersen, Jared W. Magnani, Xiaoyan Yin, John Barnard, Lu-Chen Weng, Dan E. Arking, Maartje N. Niemeijer, Steven A. Lubitz, Christy L. Avery, Qing Duan, Stephan B. Felix, Joshua C. Bis, Kathleen F. Kerr, Aaron Isaacs, Martina Müller-Nurasyid, Christian Müller, Kari E. North, Alex P. Reiner, Lesley F. Tinker, Jan A. Kors, Alexander Teumer, Astrid Petersmann, Moritz F. Sinner, Petra Buzkova, Jonathan D. Smith, David R. Van Wagoner, Uwe Völker, Melanie Waldenberger, Annette Peters, Thomas Meitinger, Marian C. Limacher, Kirk C. Wilhelmsen, Bruce M. Psaty, Albert Hofman, Andre Uitterlinden, Bouwe P. Krijthe, Zhu-Ming Zhang, Renate B. Schnabel, Stefan Kääb, Cornelia van Duijn, Jerome I. Rotter, Nona Sotoodehnia, Marcus Dörr, Yun Li, Mina K. Chung, Elsayed Z. Soliman, Alvaro Alonso, Eric A. Whitsel, Bruno H. Stricker, Emelia J. Benjamin, Susan R. Heckbert, Patrick T. Ellinor
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
Funders: Kaiser Permanente, Emory University, Cleveland Clinic, University of Washington, Johns Hopkins University, University of Pittsburgh, Deutsches Zentrum für Herz-Kreislaufforschung, Kaiser Permanente Washington Health Research Institute, Universiteit Maastricht, Technische Universität München, National Institutes of Health, University of North Carolina at Chapel Hill, Wake Forest School of Medicine, Erasmus Universitair Medisch Centrum Rotterdam, CARIM School for Cardiovascular Diseases, Universiteit Maastricht, Helmholtz Zentrum München, National Heart, Lung, and Blood Institute, National Institute of Diabetes and Digestive and Kidney Diseases, National Center for Advancing Translational Sciences
Awards: Rare variants and NHLBI traits in deeply phenotyped cohorts, G232264632, Genomics of Cardiac Electrical Activity and Arrhythmia, G297113894, UCLA Clinical and Translational Science Institute, CHS research resources for the cardiovascular health of older adults, AFGen Consortium: Atrial Fibrillation Genomics to Functional Analyses, Rare variants and NHLBI traits in deeply phenotyped cohorts, G475755283, G50080621, G56766395, CHARGE consortium: omics discovery for CVD and aging phenotypes, Genetics of Atrial Fibrillation, Atrial Fibrillation: Bridging genetic discovery and clinical associations, Mentoring in Arrhythmia Research, Diabetes Research Center (DRC), UCLA Clinical and Translational Science Institute
OpenAlex ID: W2743196281