Proteomic and genetic predictors and risk scores of cardiovascular diseases in persons living with HIV.

ABSTRACT:

Background

Cardiovascular disease (CVD) prediction models for persons living with HIV (PLWH) depend on traditional CVD risk factors, but these underestimate true risk. We aimed to identify proteins and genetic variants and create proteo-genomic risk scores for CVD in PLWH.

Methods

We analyzed genetic and protein data from participants involved in trials for PLWH. We used state-of-the-art statistical methods for data integration, identified correlated signatures, and developed a protein score (PS) and a genetic score (GS) to predict CVD. We conducted functional enrichment analysis to explore biological functions of signatures identified in relation to CVD.

Results

A panel of 14 proteins and a set of 15 genetic variants were found to be better at distinguishing between

SUBMITTER: Mehta T 

PROVIDER: S-EPMC12892344 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature