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

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

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Background Genome-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. Objective To study the association of genetic variants with AF at GWAS top loci. Methods In 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. Results One 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 (r2 =.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). Conclusions We 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.

Original languageEnglish (US)
Pages (from-to)452-457
Number of pages6
JournalHeart Rhythm
Volume11
Issue number3
DOIs
StatePublished - Mar 2014

Keywords

  • Arrhythmia
  • Atrial fibrillation
  • Epidemiology
  • Genetics

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