Article
Polygenic risk scores for prediction of breast cancer risk in women of African ancestry: a cross-ancestry approach.
Human molecular genetics - 10 Sept 2022
Gao Guimin, Zhao Fangyuan, Ahearn Thomas U, Lunetta Kathryn L, Troester Melissa A, Du Zhaohui, Ogundiran Temidayo O, Ojengbede Oladosu, Blot William, Nathanson Katherine L, Domchek Susan M, Nemesure Barbara, Hennis Anselm, Ambs Stefan, McClellan Julian, Nie Mark, Bertrand Kimberly, Zirpoli Gary, Yao Song, Olshan Andrew F, Bensen Jeannette T, Bandera Elisa V, Nyante Sarah, Conti David V, Press Michael F, Ingles Sue A, John Esther M, Bernstein Leslie, Hu Jennifer J, Deming-Halverson Sandra L, Chanock Stephen J, Ziegler Regina G, Rodriguez-Gil Jorge L, Sucheston-Campbell Lara E, Sandler Dale P, Taylor Jack A, Kitahara Cari M, O'Brien Katie M, Bolla Manjeet K, Dennis Joe, Dunning Alison M, Easton Douglas F, Michailidou Kyriaki, Pharoah Paul D P, Wang Qin, Figueroa Jonine, Biritwum Richard, Adjei Ernest, Wiafe Seth, Ambrosone Christine B, Zheng Wei, Olopade Olufunmilayo I, García-Closas Montserrat, Palmer Julie R, Haiman Christopher A, Huo Dezheng
Abstract excerpt
Polygenic risk scores (PRSs) are useful for predicting breast cancer risk, but the prediction accuracy of existing PRSs in women of African ancestry (AA) remains relatively low. We aim to develop optimal PRSs for the prediction of overall and estrogen receptor (ER) subtype-specific breast cancer risk in AA women. The AA dataset comprised 9235 cases and 10 184 controls from four genome-wide association study...
Topics
- Breast Neoplasms
- Female
- Genetic Predisposition to Disease
- Genome-Wide Association Study