A polygenic risk score of atrial fibrillation improves prediction of lifetime risk for heart failure

Autor: Taryn Alkis, Xi Luo, Katherine Wall, Jennifer Brody, Traci Bartz, Patricia P. Chang, Faye L. Norby, Ron C. Hoogeveen, Alanna C. Morrison, Christie M. Ballantyne, Josef Coresh, Eric Boerwinkle, Bruce M. Psaty, Amil M. Shah, Bing Yu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: ESC Heart Failure, Vol 11, Iss 2, Pp 1086-1096 (2024)
Druh dokumentu: article
ISSN: 2055-5822
DOI: 10.1002/ehf2.14665
Popis: Abstract Aims Heart failure (HF) has shared genetic architecture with its risk factors: atrial fibrillation (AF), body mass index (BMI), coronary heart disease (CHD), systolic blood pressure (SBP), and type 2 diabetes (T2D). We aim to assess the association and risk prediction performance of risk‐factor polygenic risk scores (PRSs) for incident HF and its subtypes in bi‐racial populations. Methods and results Five PRSs were constructed for AF, BMI, CHD, SBP, and T2D in White participants of the Atherosclerosis Risk in Communities (ARIC) study. The associations between PRSs and incident HF and its subtypes were assessed using Cox models, and the risk prediction performance of PRSs was assessed using C statistics. Replication was performed in the ARIC study Black and Cardiovascular Health Study (CHS) White participants. In 8624 ARIC study Whites, 1922 (31% cumulative incidence) HF cases developed over 30 years of follow‐up. PRSs of AF, BMI, and CHD were associated with incident HF (P
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