Article
Integrating multi-ancestry genomic and proteomic data to identify blood risk biomarkers and target proteins for breast cancer genetic risk loci.
International journal of cancer - 15 Nov 2025
Jia Guochong, Ping Jie, Tao Ran, Long Jirong, Liu Lili, Xu Shuai, Munro Heather M, 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, Matsuda Koichi, Matsuo Keitaro, Nathanson Katherine, Nemesure Barbara, Olopade Olufunmilayo I, Pal Tuya, Park Sue K, Park Boyoung, Press Michael F, Sanderson Maureen, Sandler Dale P, Yao Song, Zheng Ying, Adejumo Prisca O, Ahearn Thomas, Brewster Abenaa M, Hennis Anselm J M, Ito Hidemi, Kubo Michiaki, Lee Eun-Sook, Low Siew-Kee, Makumbi Timothy, Ndom Paul, Noh Dong-Young, O'Brien Katie M, Olshan Andrew F, Oluwasanu Mojisola M, Park Min-Ho, Reid Sonya, Yamaji Taiki, Zirpoli Gary, Butler Ebonee N, Huang Maosheng, Ntekim Atara, Weinberg Clarice R, Li Bingshan, Huo Dezheng, Kang Daehee, Ambrosone Christine, Troester Melissa A, Haiman Christopher A, Shu Xiao-Ou, Palmer Julie R, Guo Xingyi, Zheng Wei
Abstract excerpt
Genome-wide association studies (GWAS) have identified more than 200 risk loci for breast cancer. However, target genes and their encoded proteins in these loci remain largely unknown. In this study, we utilized genetic prediction models for 1349 circulating proteins derived from individuals of African (n = 1871) and European (n = 7213) ancestry to investigate genetically predicted protein levels in association...
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