Article
Improved polygenic risk prediction models for breast cancer subtypes in women of African ancestry.
Nature genetics - 1 Mar 2026
Li James L, Zhang Haoyu, Wang Xiaoyu, Jia Guochong, McClellan Julian C, Guo Wenji, Sun Yijia, Fiorica Peter N, Ambs Stefan, Barnard Mollie E, Chen Yu, Garcia-Closas Montserrat, Gu Jian, Hu Jennifer J, John Esther M, Nathanson Katherine L, Nemesure Barbara, Pal Tuya, Shu Xiao-Ou, Press Michael F, Sanderson Maureen, Sandler Dale P, Troester Melissa A, Yao Song, Long Jirong, Ahearn Thomas U, Brewster Abenaa M, Falusi Adeyinka, Kraft Peter, Hennis Anselm J M, Makumbi Timothy, Mapoko Berthe S E, O'Brien Katie M, Ojengbede Oladosu, Olshan Andrew F, Reid Sonya, Zirpoli Gary, Cai Qiuyin, Butler Eboneé N, Huang Maosheng, Obafunwa John, Weinberg Clarice R, Ambrosone Christine, Ping Jie, Tao Ran, Li Bingshan, Guo Xingyi, Gao Guimin, Conti David V, Chatterjee Nilanjan, Palmer Julie R, Olopade Olufunmilayo I, Zheng Wei, Haiman Christopher A, Huo Dezheng
Abstract excerpt
Polygenic risk score (PRS) models effectively predict breast cancer (BC) risk in European-ancestry women but have limited accuracy for African-ancestry women, particularly for aggressive subtypes. We developed PRS models for overall BC, estrogen receptor (ER)-positive, ER-negative and triple-negative BC (TNBC) in African-ancestry women using data from the African Ancestry Breast Cancer Genetics consortium (17,391...
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