Article
Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes.
Nature communications - 2 May 2024
Ping Jie, Jia Guochong, Cai Qiuyin, Guo Xingyi, Tao Ran, Ambrosone Christine, Huo Dezheng, Ambs Stefan, Barnard Mollie E, Chen Yu, Garcia-Closas Montserrat, Gu Jian, Hu Jennifer J, John Esther M, Li Christopher I, Nathanson Katherine, Nemesure Barbara, Olopade Olufunmilayo I, Pal Tuya, Press Michael F, Sanderson Maureen, Sandler Dale P, Yoshimatsu Toshio, Adejumo Prisca O, Ahearn Thomas, Brewster Abenaa M, Hennis Anselm J M, Makumbi Timothy, Ndom Paul, O'Brien Katie M, Olshan Andrew F, Oluwasanu Mojisola M, Reid Sonya, Yao Song, Butler Ebonee N, Huang Maosheng, Ntekim Atara, Li Bingshan, Troester Melissa A, Palmer Julie R, Haiman Christopher A, Long Jirong, Zheng Wei
Abstract excerpt
African-ancestry (AA) participants are underrepresented in genetics research. Here, we conducted a transcriptome-wide association study (TWAS) in AA female participants to identify putative breast cancer susceptibility genes. We built genetic models to predict levels of gene expression, exon junction, and 3' UTR alternative polyadenylation using genomic and transcriptomic data generated in normal breast tissues...
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