Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions
- PMID: 39753771
- PMCID: PMC12184877
- DOI: 10.1038/s41588-024-02031-y
Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions
Abstract
Genome-wide association studies have identified approximately 200 genetic risk loci for breast cancer, but the causal variants and target genes are mostly unknown. We sought to fine-map all known breast cancer risk loci using genome-wide association study data from 172,737 female breast cancer cases and 242,009 controls of African, Asian and European ancestry. We identified 332 independent association signals for breast cancer risk, including 131 signals not reported previously, and for 50 of them, we narrowed the credible causal variants down to a single variant. Analyses integrating functional genomics data identified 195 putative susceptibility genes, enriched in PI3K/AKT, TNF/NF-κB, p53 and Wnt/β-catenin pathways. Single-cell RNA sequencing or in vitro experiment data provided additional functional evidence for 105 genes. Our study uncovered large numbers of association signals and candidate susceptibility genes for breast cancer, uncovered breast cancer genetics and biology, and supported the value of including multi-ancestry data in fine-mapping analyses.
© 2025. The Author(s), under exclusive licence to Springer Nature America, Inc.
Conflict of interest statement
Competing interests: O.I.O is co-founder at CancerIQ, serves as Scientific Advisor at Tempus and is on the Board of 54gene. The other authors declare no competing interests.
References
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- Sung H et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians 71, 209–249 (2021). - PubMed
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