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ABSTRACT: Background
Prostate cancer (PCa) remains the most prevalent cancer among male globally. Despite the critical role of genetic factors in PCa pathogenesis, recent advances in metabolomics have highlighted the significant contributions of circulating metabolites to genetic risk profiles for PCa. However, the causal relationship between metabolites and PCa is not yet unclear.Methods
We utilized a bidirectional two-sample Mendelian randomization (MR) approach, analyzing metabolite datasets from the Canadian Longitudinal Study of Aging (CLSA), the Cooperative Health Research in the Region of Augsburg (KORA) study, and the TwinsUK study and PCa dataset from the Oncoarray. Replication analyses were performed with the UK Biobank. Instrumental variables (IVs) were selected based on e
SUBMITTER: Lv J
PROVIDER: S-EPMC12274190 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature