Integrating molecular pathway with genome-wide association data for causality identification in breast cancer.

ABSTRACT:

Objective

The study purpose was to explore the causal association between pyruvate metabolism and breast cancer (BC), as well as the molecular role of key metabolic genes, by using bioinformatics and Mendelian randomization (MR) analysis.

Methods

We retrieved and examined diverse datasets from the GEO database to ascertain differentially acting genes (DAGs) in BC via differential expression analysis. Following this, we performed functional and pathway enrichment analyses to ascertain noteworthy molecular functions and metabolic pathways in BC. Employing MR analysis, we established a causal association between pyruvate metabolism and the susceptibility to BC. Additionally, utilizing the DGIdb database, we identified potential targeted medications that act on genes implicated

SUBMITTER: Li YS 

PROVIDER: S-EPMC11219684 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature