Polygenic Risk Score Predicts Sudden Death in Patients With Coronary Disease and Preserved Systolic Function

A familial predisposition to sudden and/or arrhythmic death (SAD) in the setting of coronary artery disease (CAD) exists; however, the genetic basis is poorly understood. The purpose of this study was to determine whether a genome-wide polygenic score for coronary artery disease (GPSCAD) might have...

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Published inJournal of the American College of Cardiology Vol. 80; no. 9; pp. 873 - 883
Main Authors Sandhu, Roopinder K., Dron, Jacqueline S., Liu, Yunxian, Moorthy, M. Vinayaga, Chatterjee, Neal A., Ellinor, Patrick T., Chasman, Daniel I., Cook, Nancy R., Khera, Amit V., Albert, Christine M.
Format Journal Article
LanguageEnglish
Published Elsevier Inc 30.08.2022
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ISSN0735-1097
1558-3597
1558-3597
DOI10.1016/j.jacc.2022.05.049

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Summary:A familial predisposition to sudden and/or arrhythmic death (SAD) in the setting of coronary artery disease (CAD) exists; however, the genetic basis is poorly understood. The purpose of this study was to determine whether a genome-wide polygenic score for coronary artery disease (GPSCAD) might have utility in SAD risk stratification in CAD patients without severe systolic dysfunction. A previously validated GPSCAD was generated utilizing genome-wide genotyping in 4,698 PRE-DETERMINE participants of European ancestry with CAD and left ventricular ejection fraction >30%-35%. The population was dichotomized according to top GPSCAD decile as defined by the general population, and absolute, proportional, and relative risks for SAD and non-SAD were estimated using competing risk analyses. Over a median follow-up of 8.0 years, participants in the top GPSCAD decile were at elevated absolute SAD risk (8.0%; 95% CI: 5.1%-12.4% vs 4.8%; 95% CI: 3.3%-7.0%; P = 0.005) and proportional SAD risk (29% vs 16%; P = 0.0003) compared with the remainder. After controlling for left ventricular ejection fraction, clinical factors, and electrocardiogram parameters, the top GPSCAD decile was associated with SAD (subdistribution HR: 1.77; 95% CI: 1.23-2.54; P = 0.002) but not non-SAD (subdistribution HR: 1.00; 95% CI: 0.80-1.25; P = 0.98) (P for Δ = 0.003). The addition of the top GPSCAD decile to the multivariable model significantly improved net reclassification indexes (NRIs) (continuous NRI: 14.0%; P = 0.024; and categorical NRI: 6.6%; P = 0.005) but not the C-index (difference in C-index: 0.007; P = 0.143). Among CAD patients without severe systolic dysfunction, high GPSCAD specifically predicted SAD and enriched for both absolute and proportional SAD risk, identifying a population who might benefit from defibrillator therapy. [Display omitted]
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authors contributed equally to work
ISSN:0735-1097
1558-3597
1558-3597
DOI:10.1016/j.jacc.2022.05.049