Polygenic Scoring for Detection of Ascending Thoracic Aortic Dilation.

ABSTRACT:

Background

Ascending thoracic aortic dilation is a complex heritable trait that involves modifiable and nonmodifiable risk factors. Polygenic scores (PGS) are increasingly used to assess risk for complex diseases. The degree to which a PGS can improve aortic diameter prediction in diverse populations is unknown. Presently, we tested whether adding a PGS to clinical prediction algorithms improves performance in a diverse biobank.

Methods

The analytic cohort comprised 6235 Penn Medicine Biobank participants with available echocardiography and clinical data linked to genome-wide genotype data. Linear regression models were used to integrate PGS weights derived from a genome-wide association study of thoracic aortic diameter performed in the UK Biobank and were compared with the

SUBMITTER: DePaolo J 

PROVIDER: S-EPMC11540195 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature