Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes
Year: 2024
Type: article
Study design: Observational Study
DOI: 10.17615/0qfx-ep12
Authors: Press, Michael F., Zheng, Wei, Nathanson, Katherine, Garcia-Closas, Montserrat, Adejumo, Prisca O., Li, Christopher I., Brewster, Abenaa M., Yao, Song, Tao, Ran, Olopade, Olufunmilayo I., Gu, Jian, Ahearn, Thomas, Ping, Jie, Chen, Yu, Butler, Ebonee N., Hennis, Anselm J. M., Nemesure, Barbara, Sanderson, Maureen, Ambs, Stefan, Troester, Melissa A., Reid, Sonya, Huo, Dezheng, Cai, Qiuyin, Sandler, Dale P., Ndom, Paul, Pal, Tuya, Yoshimatsu, Toshio, Olshan, Andrew F., Ntekim, Atara, Ambrosone, Christine, Barnard, Mollie E., Hu, Jennifer J., Makumbi, Timothy, Palmer, Julie R., O’Brien, Katie M., Li, Bingshan, Guo, Xingyi, Long, Jirong, John, Esther M., Haiman, Christopher A., Oluwasanu, Mojisola M., Jia, Guochong, Huang, Maosheng
Institution: University of North Carolina at Chapel Hill
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4403284232