Predictive Accuracy of a Polygenic Risk Score-Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease.

ABSTRACT:

Importance

The incremental value of polygenic risk scores in addition to well-established risk prediction models for coronary artery disease (CAD) is uncertain.

Objective

To examine whether a polygenic risk score for CAD improves risk prediction beyond pooled cohort equations.

Design, setting, and participants

Observational study of UK Biobank participants enrolled from 2006 to 2010. A case-control sample of 15 947 prevalent CAD cases and equal number of age and sex frequency-matched controls was used to optimize the predictive performance of a polygenic risk score for CAD based on summary statistics from published genome-wide association studies. A separate cohort of 352 660 individuals (with follow-up to 2017) was used to evaluate the predictive accuracy of the poly

SUBMITTER: Elliott J 

PROVIDER: S-EPMC7042853 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature