Multiomic integration analysis identifies atherogenic metabolites mediating between novel immune genes and cardiovascular risk.

ABSTRACT:

Background

Understanding genetic-metabolite associations has translational implications for informing cardiovascular risk assessment. Interrogating functional genetic variants enhances our understanding of disease pathogenesis and the development and optimization of targeted interventions.

Methods

In this study, a total of 187 plasma metabolite levels were profiled in 4974 individuals of European ancestry of the GCAT| Genomes for Life cohort. Results of genetic analyses were meta-analysed with additional datasets, resulting in up to approximately 40,000 European individuals. Results of meta-analyses were integrated with reference gene expression panels from 58 tissues and cell types to identify predicted gene expression associated with metabolite levels. This approach was al

SUBMITTER: Carreras-Torres R 

PROVIDER: S-EPMC11515386 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature