Ontology highlight
ABSTRACT: Background
Prostate cancer (PCa) is a major global health concern for men, yet its underlying metabolic mechanisms are not fully understood. Identifying causal metabolites could reveal novel pathways for risk assessment and prevention.Methods
We conducted a comprehensive two-sample Mendelian randomization (TSMR) study following STROBE-MR guidelines. Genetic instruments for plasma metabolites were derived from two independent sources, including the METSIM study, a cohort exclusively comprising Finnish men, and the Canadian Longitudinal Study on Aging (CLSA). Summary-level data for PCa were obtained from the PRACTICAL consortium and FinnGen. Inverse variance weighted (IVW) was the primary analysis method, supplemented by sensitivity analyses and Bayesian colocalization (coloc
SUBMITTER: Chen H
PROVIDER: S-EPMC12664657 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature