Shared genetic architecture and bidirectional clinical risks within the psycho-metabolic nexus.

ABSTRACT:

Background

Increasing evidence suggests a complex interplay between psychiatric disorders and metabolic dysregulations. However, most research has been limited to specific disorder pairs, leaving a significant gap in our understanding of the broader psycho-metabolic nexus.

Methods

This study leveraged large-scale cohort data and genome-wide association study (GWAS) summary statistics, covering 8 common psychiatric disorders and 43 metabolic traits. We introduced a comprehensive analytical strategy to identify shared genetic bases sequentially, from key genetic correlation regions to local pleiotropy and pleiotropic genes. Finally, we developed polygenic risk score (PRS) models to translate these findings into clinical applications.

Findings

We identified significant b

SUBMITTER: Guo X 

PROVIDER: S-EPMC11743124 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature