Constructing an atlas of associations between polygenic scores from across the human phenome and circulating metabolic biomarkers.

ABSTRACT:

Background

Polygenic scores (PGS) are becoming an increasingly popular approach to predict complex disease risk, although they also hold the potential to develop insight into the molecular profiles of patients with an elevated genetic predisposition to disease.

Methods

We sought to construct an atlas of associations between 125 different PGS derived using results from genome-wide association studies and 249 circulating metabolites in up to 83,004 participants from the UK Biobank.

Results

As an exemplar to demonstrate the value of this atlas, we conducted a hypothesis-free evaluation of all associations with glycoprotein acetyls (GlycA), an inflammatory biomarker. Using bidirectional Mendelian randomization, we find that the associations highlighted likely reflect the

SUBMITTER: Fang S 

PROVIDER: S-EPMC9553209 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature