Genome-wide association study and meta-analysis identify loci associated with ventricular and supraventricular ectopy

Melanie D. Napier, Nora Franceschini, Rahul Gondalia, James D. Stewart, Raúl Méndez-Giráldez, Colleen M. Sitlani, Amanda A. Seyerle, Heather M. Highland, Yun Li, Kirk C. Wilhelmsen, Song Yan, Qing Duan, Jeffrey Roach, Jie Yao, Xiuqing Guo, Kent D. Taylor, Susan R. Heckbert, Jerome I. Rotter, Kari E. North, Alexander P. ReinerZhu Ming Zhang, Lesley F. Tinker, Duanping Liao, Cathy C. Laurie, Stephanie M. Gogarten, Henry J. Lin, Jennifer A. Brody, Traci M. Bartz, Bruce M. Psaty, Nona Sotoodehnia, Elsayed Z. Soliman, Christy L. Avery, Eric A. Whitsel

Research output: Contribution to journalArticlepeer-review

Abstract

The genetic basis of supraventricular and ventricular ectopy (SVE, VE) remains largely uncharacterized, despite established genetic mechanisms of arrhythmogenesis. To identify novel genetic variants associated with SVE/VE in ancestrally diverse human populations, we conducted a genome-wide association study of electrocardiographically identified SVE and VE in five cohorts including approximately 43,000 participants of African, European and Hispanic/Latino ancestry. In thirteen ancestry-stratified subgroups, we tested multivariable-adjusted associations of SVE and VE with single nucleotide polymorphism (SNP) dosage. We combined subgroup-specific association estimates in inverse variance-weighted, fixed-effects and Bayesian meta-analyses. We also combined fixed-effects meta-analytic t-test statistics for SVE and VE in multi-trait SNP association analyses. No loci reached genome-wide significance in trans-ethnic meta-analyses. However, we found genome-wide significant SNPs intronic to an apoptosis-enhancing gene previously associated with QRS interval duration (FAF1; lead SNP rs7545860; effect allele frequency = 0.02; P = 2.0 × 10-8) in multi-trait analysis among European ancestry participants and near a locus encoding calcium-dependent glycoproteins (DSC3; lead SNP rs8086068; effect allele frequency = 0.17) in meta-analysis of SVE (P = 4.0 × 10-8) and multi-trait analysis (P = 2.9 × 10-9) among African ancestry participants. The novel findings suggest several mechanisms by which genetic variation may predispose to ectopy in humans and highlight the potential value of leveraging pleiotropy in future studies of ectopy-related phenotypes.

Original languageEnglish (US)
Article number5675
JournalScientific reports
Volume8
Issue number1
DOIs
StatePublished - Dec 1 2018

All Science Journal Classification (ASJC) codes

  • General

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