A plasma proteomic signature for atherosclerotic cardiovascular disease risk prediction in the UK Biobank cohort.

ABSTRACT:

Background

While risk stratification for atherosclerotic cardiovascular disease (ASCVD) is essential for primary prevention, current clinical risk algorithms demonstrate variability and leave room for further improvement. The plasma proteome holds promise as a future diagnostic and prognostic tool that can accurately reflect complex human traits and disease processes. We assessed the ability of plasma proteins to predict ASCVD.

Method

Clinical, genetic, and high-throughput plasma proteomic data were analyzed for association with ASCVD in a cohort of 41,650 UK Biobank participants. Selected features for analysis included clinical variables such as a UK-based cardiovascular clinical risk score (QRISK3) and lipid levels, 36 polygenic risk scores (PRSs), and Olink protein expres

SUBMITTER: Gupte TP 

PROVIDER: S-EPMC11419231 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature