Article
Multi-ancestry transcriptome-wide association studies uncover insights into breast cancer genetics and biology.
Nature communications - 30 May 2026
Ping Jie, Jia Guochong, Cai Qiuyin, Guo Xingyi, Wang Jifeng, Tao Ran, Li Bingshan, Bauer Joshua A, Xie Yuhan, Ambs Stefan, Barnard Mollie E, Chen Yu, Choi Ji-Yeob, Gao Yu-Tang, Garcia-Closas Montserrat, Gu Jian, Hu Jennifer J, Iwasaki Motoki, John Esther M, Kweon Sun-Seog, Li Christopher I, Matsuda Koichi, Matsuo Keitaro, Nathanson Katherine L, Nemesure Barbara, Olopade Olufunmilayo I, Pal Tuya, Park Sue K, Park Boyoung, Press Michael F, Sanderson Maureen, Sandler Dale P, Yao Song, Zheng Ying, Ahearn Thomas, Brewster Abenaa M, Falusi Adeyinka, Hennis Anselm J M, Ito Hidemi, Kubo Michiaki, Lee Eun-Sook, Makumbi Timothy, Mapoko Berthe S E, Noh Dong-Young, O'Brien Katie M, Ojengbede Oladosu, Olshan Andrew F, Park Min-Ho, Reid Sonya, Yamaji Taiki, Zirpoli Gary, Butler Ebonee N, Huang Maosheng, Low Siew-Kee, Obafunwa John, Weinberg Clarice R, Zhang Haoyu, Zhao Hongyu, Ambrosone Christine B, Cote Michelle L, Huo Dezheng, Haiman Christopher A, Kang Daehee, Palmer Julie R, Troester Melissa A, Shu Xiao-Ou, Long Jirong, Zheng Wei
Abstract excerpt
Genome-wide association studies (GWAS) have identified over 200 genetic risk loci for breast cancer, yet their target genes remain largely unknown. We conduct multi-ancestry transcriptome-wide association studies (TWAS) to discover potential breast cancer susceptibility genes. We develop ancestry-specific genetic models to predict levels of gene expression, alternative splicing, and 3' UTR alternative...
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