Deciphering the genetic interplay between depression and dysmenorrhea: a Mendelian randomization study.

ABSTRACT:

Background

This study aims to explore the link between depression and dysmenorrhea by using an integrated and innovative approach that combines genomic, transcriptomic, and protein interaction data/information from various resources.

Methods

A two-sample, bidirectional, and multivariate Mendelian randomization (MR) approach was applied to determine causality between dysmenorrhea and depression. Genome-wide association study (GWAS) data were used to identify genetic variants associated with both dysmenorrhea and depression, followed by colocalization analysis of shared genetic influences. Expression quantitative trait locus (eQTL) data were analyzed from public databases to pinpoint target genes in relevant tissues. Additionally, a protein-protein interaction (PPI) network wa

SUBMITTER: Liu S 

PROVIDER: S-EPMC11596086 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature