| Literature DB >> 35554533 |
Guimin Gao1, Fangyuan Zhao1, Thomas U Ahearn2, Kathryn L Lunetta3, Melissa A Troester4, Zhaohui Du5, Temidayo O Ogundiran6, Oladosu Ojengbede7, William Blot8, Katherine L Nathanson9, Susan M Domchek9, Barbara Nemesure10, Anselm Hennis10,11, Stefan Ambs12, Julian McClellan1, Mark Nie1, Kimberly Bertrand13, Gary Zirpoli13, Song Yao14, Andrew F Olshan4, Jeannette T Bensen4, Elisa V Bandera15, Sarah Nyante16, David V Conti17, Michael F Press18, Sue A Ingles17, Esther M John19, Leslie Bernstein20, Jennifer J Hu21, Sandra L Deming-Halverson8, Stephen J Chanock2, Regina G Ziegler2, Jorge L Rodriguez-Gil22, Lara E Sucheston-Campbell23, Dale P Sandler24, Jack A Taylor24, Cari M Kitahara25, Katie M O'Brien24, Manjeet K Bolla26, Joe Dennis26, Alison M Dunning27, Douglas F Easton26,27, Kyriaki Michailidou28, Paul D P Pharoah26,27, Qin Wang26, Jonine Figueroa29,30, Richard Biritwum31, Ernest Adjei32, Seth Wiafe33, Christine B Ambrosone14, Wei Zheng8, Olufunmilayo I Olopade34, Montserrat García-Closas2, Julie R Palmer13, Christopher A Haiman17, Dezheng Huo1,34.
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 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 (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 odds ratio per standard deviation of the joint PRS in the validation set was 1.34 [95% confidence interval (CI): 1.27-1.42] with the area under receiver operating characteristic curve (AUC) of 0.581. Compared with 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 with existing methods, the proposed joint PRSs can improve prediction of breast cancer risk in AA women.Entities:
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Year: 2022 PMID： 35554533 PMCID： PMC9476624 DOI： 10.1093/hmg/ddac102
Source DB: PubMed Journal: Hum Mol Genet ISSN： 0964-6906 Impact factor: 5.121