Leveraging Genome-wide Association Studies to Identify Pathogenic Variants for Breast Cancer Among Multiple Continents

This integrative bioinformatics approach prioritized functionally significant BCa-associated SNPs and identified promising candidates for biomarker development and drug repositioning. The nine high-scoring variants, including SLCO1B1 and ARHGEF38 emerge as biologically impactful genes, while MAPT's known drug interactions highlight its translational potential in repurposing existing anticancer agents.