Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions

Guochong Jia, Zhishan Chen, Jie Ping, Qiuyin Cai, Ran Tao, Chao Li, Joshua A. Bauer, Yuhan Xie, Stefan Ambs, Mollie E. Barnard, Yu Chen, Ji Yeob Choi, Yu Tang Gao, Montserrat Garcia-Closas, Jian Gu, Jennifer J. Hu, Motoki Iwasaki, Esther M. John, Sun Seog Kweon, Christopher I. LiKoichi Matsuda, Keitaro Matsuo, Katherine L. Nathanson, Barbara Nemesure, Olufunmilayo I. Olopade, Tuya Pal, Sue K. Park, Boyoung Park, Michael F. Press, Maureen Sanderson, Dale P. Sandler, Chen Yang Shen, Melissa A. Troester, Song Yao, Ying Zheng, Thomas Ahearn, Abenaa M. Brewster, Adeyinka Falusi, Anselm J.M. Hennis, Hidemi Ito, Michiaki Kubo, Eun Sook Lee, Timothy Makumbi, Paul Ndom, Dong Young Noh, Katie M. O’Brien, Oladosu Ojengbede, Andrew F. Olshan, Min Ho Park, Sonya Reid, Taiki Yamaji, Gary Zirpoli, Ebonee N. Butler, Maosheng Huang, Siew Kee Low, John Obafunwa, Clarice R. Weinberg, Haoyu Zhang, Hongyu Zhao, Michelle L. Cote, Christine B. Ambrosone, Dezheng Huo, Bingshan Li, Daehee Kang, Julie R. Palmer, Xiao Ou Shu, Christopher A. Haiman, Xingyi Guo, Jirong Long, Wei Zheng

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Article number1217
Pages (from-to)80-87
Number of pages8
JournalNature Genetics
Volume57
Issue number1
DOIs
StatePublished - Jan 2025

ASJC Scopus subject areas

  • Genetics

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