Highly elevated polygenic risk scores are better predictors of myocardial infarction risk early in life than later.

ABSTRACT:

Background

Several polygenic risk scores (PRS) have been developed for cardiovascular risk prediction, but the additive value of including PRS together with conventional risk factors for risk prediction is questionable. This study assesses the clinical utility of including four PRS generated from 194, 46K, 1.5M, and 6M SNPs, along with conventional risk factors, to predict risk of ischemic heart disease (IHD), myocardial infarction (MI), and first MI event on or before age 50 (early MI).

Methods

A cross-validated logistic regression (LR) algorithm was trained either on ~ 440K European ancestry individuals from the UK Biobank (UKB), or the full UKB population, including as features different combinations of conventional established-at-birth risk factors (ancestry, sex) and ri

SUBMITTER: Isgut M 

PROVIDER: S-EPMC7845089 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature