Ontology highlight
ABSTRACT: Background and aims
Polycystic ovary syndrome (PCOS) is a prevalent endocrine and metabolic disorder with complex pathogenesis and limited targeted therapeutic options. This study presents a proteomics-informed approach to identify potential plasma protein targets for PCOS intervention using causal inference methods.Methods
We conducted a comprehensive proteome-wide Mendelian randomization analysis by integrating 1 Mb plasma cis-acting protein quantitative trait loci datasets with PCOS genome-wide association study summary statistics. To enhance robustness, we applied complementary approaches including summary-data-based MR, the Heterogeneity in Dependent Instruments test, and colocalization analysis. Identified targets were further assessed for druggability using curated d
SUBMITTER: Yu T
PROVIDER: S-EPMC12453959 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature