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Citation

Gao, Guimin; Zhao, Fangyuan; Ahearn, Thomas U.; Lunetta, Kathryn L.; Troester, Melissa A.; Du, Zhaohui; Ogundiran, Temidayo O.; Ojengbede, Oladosu; Blot, William J.; & Nathanson, Katherine L., et al. (2022). Polygenic Risk Scores for Prediction of Breast Cancer Risk in Women of African Ancestry: A Cross-Ancestry Approach. Human Molecular Genetics, 31(18), 3133-3143. PMCID: PMC9476624

Abstract

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 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 (GWAS) consortia and a GWAS study in Ghana. We randomly divided samples into training and validation sets. We built PRSs using individual level AA data by a forward stepwise logistic regression and then developed joint PRSs that combined 1) the PRSs built in the AA training dataset, and 2) a 313-variant PRS previously developed in women of European ancestry. PRSs were evaluated in the AA validation set. For overall breast cancer, the odd ratio (OR) per standard deviation of the joint PRS in the validation set was 1.34 (95% CI: 1.27-1.42) with area under receiver operating characteristic curve (AUC) of 0.581. Compared to women with average risk (40th-60th PRS percentile), women in the top decile of the PRS had a 1.98-fold increased risk (95% CI: 1.63-2.39). For PRSs of ER-positive and ER-negative breast cancer, the AUCs were 0.608 and 0.576, respectively. Compared to existing methods, the proposed joint PRSs can improve prediction of breast cancer risk in AA women.

URL

http://dx.doi.org/10.1093/hmg/ddac102

Reference Type

Journal Article

Year Published

2022

Journal Title

Human Molecular Genetics

Author(s)

Gao, Guimin
Zhao, Fangyuan
Ahearn, Thomas U.
Lunetta, Kathryn L.
Troester, Melissa A.
Du, Zhaohui
Ogundiran, Temidayo O.
Ojengbede, Oladosu
Blot, William J.
Nathanson, Katherine L.
Domchek, Susan M.
Nemesure, Barbara
Hennis, Anselm J.
Ambs, Stefan
McClellan, Julian
Nie, Mark
Bertrand, Kimberly
Zirpoli, Gary R.
Yao, Song
Olshan, Andrew F.
Bensen, Jeannette T.
Bandera, Elisa V.
Nyante, Sarah J.
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

Article Type

Regular

PMCID

PMC9476624

Continent/Country

Ghana

Race/Ethnicity

African Ancestry

Sex/Gender

Women

ORCiD

Olshan - 0000-0001-9115-5128