Use of Polygenic Risk Score for Prediction of Heart Failure in Cancer Survivors.

ABSTRACT:

Background

The risk for heart failure (HF) is increased among cancer survivors, but predicting individual HF risk is difficult. Polygenic risk scores (PRS) for HF prediction summarize the combined effects of multiple genetic variants specific to the individual.

Objectives

The aim of this study was to compare clinical HF prediction models with PRS in both cancer and noncancer populations.

Methods

Cancer and HF diagnoses were identified using International Classification of Diseases-10th Revision codes. HF risk was calculated using the ARIC (Atherosclerosis Risk in Communities) HF score (ARIC-HF). The PRS for HF (PRS-HF) was calculated according to the Global Biobank Meta-analysis Initiative. The predictive performance of the ARIC-HF and PRS-HF was compared using the ar

SUBMITTER: Soh CH 

PROVIDER: S-EPMC11520200 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature