Genome-wide meta-analysis of 92 cardiometabolic protein serum levels.

ABSTRACT:

Objectives

Global cardiometabolic disease prevalence has grown rapidly over the years, making it the leading cause of death worldwide. Proteins are crucial components in biological pathways dysregulated in disease states. Identifying genetic components that influence circulating protein levels may lead to the discovery of biomarkers for early stages of disease or offer opportunities as therapeutic targets.

Methods

Here, we carry out a genome-wide association study (GWAS) utilising whole genome sequencing data in 3,005 individuals from the HELIC founder populations cohort, across 92 proteins of cardiometabolic relevance.

Results

We report 322 protein quantitative trait loci (pQTL) signals across 92 proteins, of which 76 are located in or near the coding gene (cis-pQTL)

SUBMITTER: Gilly A 

PROVIDER: S-EPMC10582065 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature