Fifteen Genetic Loci Associated With the Electrocardiographic P Wave.

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
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引用次数: 37

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 SCN10A. 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.

Abstract Image

Abstract Image

与心电图P波相关的15个基因位点。
背景:心电图上的P波是心房电功能的一种测量,其特征可以作为心房心律失常的预测指标。平均p波持续时间和p波终末力的增加传统上被用作左心房扩大的标志,两者都与心房颤动的风险增加有关。本文通过对12项队列研究中p波持续时间和p波末端力的全基因组关联研究结果进行meta分析,探索p波形态的遗传基础。方法和结果:我们纳入了44 456例个体,其中6778例(16%)为非洲血统。在每个研究点进行基因分型、归算和全基因组关联研究。摘要水平的结果采用反方差加权集中进行meta分析。在p波持续时间的荟萃分析中,我们确定了6个重要的(P-8)新位点,并复制了与SCN10A的先前关联。我们在SCN5A、TBX5和CAV1/CAV2上发现了3个位点,它们与PR间隔、PR段和p波持续时间共同相关。我们在p波末端力的荟萃分析中发现了6个新的位点。其中四个基因位点与329个左心房样本的基因表达显著相关。最后,我们观察到一些与P波相关的位点与整个心房传导有关,而另一些位点则与心房传导的不同阶段有关。结论:我们发现了6个与纵波持续时间相关的新基因位点和6个与纵波终末力相关的新基因位点。未来对这些基因座的研究可能有助于确定可能改变心房传导或治疗心房心律失常的药物的新靶点。
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来源期刊
Circulation: Cardiovascular Genetics
Circulation: Cardiovascular Genetics CARDIAC & CARDIOVASCULAR SYSTEMS-GENETICS & HEREDITY
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Circulation: Genomic and Precision Medicine considers all types of original research articles, including studies conducted in human subjects, laboratory animals, in vitro, and in silico. Articles may include investigations of: clinical genetics as applied to the diagnosis and management of monogenic or oligogenic cardiovascular disorders; the molecular basis of complex cardiovascular disorders, including genome-wide association studies, exome and genome sequencing-based association studies, coding variant association studies, genetic linkage studies, epigenomics, transcriptomics, proteomics, metabolomics, and metagenomics; integration of electronic health record data or patient-generated data with any of the aforementioned approaches, including phenome-wide association studies, or with environmental or lifestyle factors; pharmacogenomics; regulation of gene expression; gene therapy and therapeutic genomic editing; systems biology approaches to the diagnosis and management of cardiovascular disorders; novel methods to perform any of the aforementioned studies; and novel applications of precision medicine. Above all, we seek studies with relevance to human cardiovascular biology and disease.
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