A Comprehensive Evaluation of the Genetic Architecture of Sudden Cardiac Arrest
Foram N Ashar,
Rebecca N. Mitchell,
Christine M Albert,
Jennifer A Brody,
M Juhani Junttila,
Sara L. Pulit,
Michael W Tanck,
Marieke T Blom,
Aki S Hauvlinna,
Stefan A Escher,
Ronald J Prineas,
Oscar H Franco,
Jerome I. Rotter,
Rozenn N. Lemaitre,
Susan R. Heckbert,
Christopher J. O’Donnell,
Andre G Uitterlinden,
Bruno H.C. Stricker,
Paul IW de Bakker,
Paul W. Franks,
Folkert W Asselbergs,
Marc K. Halushka,
Joseph J Maleszewski,
Arthur A.M. Wilde,
Hanno L Tan,
Connie R Bezzina,
John D Rioux,
Bruce M. Psaty,
David S Siscovick,
for the SCD working group of the CHARGE Consortium
Posted 16 Dec 2017
bioRxiv DOI: 10.1101/235234 (published DOI: 10.1093/eurheartj/ehy474)
Posted 16 Dec 2017
Background: Sudden cardiac arrest (SCA) accounts for 10% of adult mortality in Western populations. While several risk factors are observationally associated with SCA, the genetic architecture of SCA in the general population remains unknown. Furthermore, understanding which risk factors are causal may help target prevention strategies. Methods: We carried out a large genome-wide association study (GWAS) for SCA (n=3,939 cases, 25,989 non-cases) to examine common variation genome-wide and in candidate arrhythmia genes. We also exploited Mendelian randomization methods using cross-trait multi-variant genetic risk score associations (GRSA) to assess causal relationships of 18 risk factors with SCA. Results: No variants were associated with SCA at genome-wide significance, nor were common variants in candidate arrhythmia genes associated with SCA at nominal significance. Using cross-trait GRSA, we established genetic correlation between SCA and (1) coronary artery disease (CAD) and traditional CAD risk factors (blood pressure, lipids, and diabetes), (2) height and BMI, and (3) electrical instability traits (QT and atrial fibrillation), suggesting etiologic roles for these traits in SCA risk. Conclusions: Our findings show that a comprehensive approach to the genetic architecture of SCA can shed light on the determinants of a complex life-threatening condition with multiple influencing factors in the general population. The results of this genetic analysis, both positive and negative findings, have implications for evaluating the genetic architecture of patients with a family history of SCA, and for efforts to prevent SCA in high-risk populations and the general community.
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