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ABSTRACT: Introduction
The associations between blood metabolites and breast cancer remain unclear. We conducted a systematic two-sample Mendelian randomization (MR) analysis to identify key human blood metabolites and potential biomarkers for breast cancer development.Material and methods
The data were extracted from large-scale genome-wide association study (GWAS) public databases. Instrumental variables were selected from a cohort study of 453 metabolic profiles from 7,824 participants. Breast cancer incidence data were obtained from a large cohort study involving 138,389 cases and 240,341 controls. Causal associations between human blood metabolites and breast cancer incidence were assessed using inverse-variance weighting, and MR-Egger regression.Results
Five human blood
SUBMITTER: Liang G
PROVIDER: S-EPMC11969560 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature