Show simple item record

dc.contributor.authorGao, Guimin
dc.contributor.authorZhao, Fangyuan
dc.contributor.authorAhearn, Thomas U
dc.contributor.authorLunetta, Kathryn L
dc.contributor.authorTroester, Melissa A
dc.contributor.authorDu, Zhaohui
dc.contributor.authorOgundiran, Temidayo O
dc.contributor.authorOjengbede, Oladosu
dc.contributor.authorBlot, William
dc.contributor.authorNathanson, Katherine L
dc.contributor.authorDomchek, Susan M
dc.contributor.authorNemesure, Barbara
dc.contributor.authorHennis, Anselm
dc.contributor.authorAmbs, Stefan
dc.contributor.authorMcClellan, Julian
dc.contributor.authorNie, Mark
dc.contributor.authorBertrand, Kimberly
dc.contributor.authorZirpoli, Gary
dc.contributor.authorYao, Song
dc.contributor.authorOlshan, Andrew F
dc.contributor.authorBensen, Jeannette T
dc.contributor.authorBandera, Elisa V
dc.contributor.authorNyante, Sarah
dc.contributor.authorConti, David V
dc.contributor.authorPress, Michael F
dc.contributor.authorIngles, Sue A
dc.contributor.authorJohn, Esther M
dc.contributor.authorBernstein, Leslie
dc.contributor.authorHu, Jennifer J
dc.contributor.authorDeming-Halverson, Sandra L
dc.contributor.authorChanock, Stephen J
dc.contributor.authorZiegler, Regina G
dc.contributor.authorRodriguez-Gil, Jorge L
dc.contributor.authorSucheston-Campbell, Lara E
dc.contributor.authorSandler, Dale P
dc.contributor.authorTaylor, Jack A
dc.contributor.authorKitahara, Cari M
dc.contributor.authorO'Brien, Katie M
dc.contributor.authorBolla, Manjeet K
dc.contributor.authorDennis, Joe
dc.contributor.authorDunning, Alison M
dc.contributor.authorEaston, Douglas F
dc.contributor.authorMichailidou, Kyriaki
dc.contributor.authorPharoah, Paul DP
dc.contributor.authorWang, Qin
dc.contributor.authorFigueroa, Jonine
dc.contributor.authorBiritwum, Richard
dc.contributor.authorAdjei, Ernest
dc.contributor.authorWiafe, Seth
dc.contributor.authorGBHS Study Team
dc.contributor.authorAmbrosone, Christine B
dc.contributor.authorZheng, Wei
dc.contributor.authorOlopade, Olufunmilayo I
dc.contributor.authorGarcía-Closas, Montserrat
dc.contributor.authorPalmer, Julie R
dc.contributor.authorHaiman, Christopher A
dc.contributor.authorHuo, Dezheng
dc.date.accessioned2022-05-31T23:30:06Z
dc.date.available2022-05-31T23:30:06Z
dc.date.issued2022-09-10
dc.identifier.issn0964-6906
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337641
dc.description.abstractPolygenic 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.
dc.format.mediumPrint-Electronic
dc.publisherOxford University Press (OUP)
dc.rightsAll Rights Reserved
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserved
dc.subjectGBHS Study Team
dc.titlePolygenic risk scores for prediction of breast cancer risk in women of African ancestry: a cross-ancestry approach.
dc.typeArticle
dc.publisher.departmentDepartment of Oncology
dc.publisher.departmentDepartment of Public Health And Primary Care, Cancer Genetic Epidemiology
dc.date.updated2022-05-26T14:10:47Z
prism.publicationDate2022
prism.publicationNameHum Mol Genet
prism.startingPageddac102
dc.identifier.doi10.17863/CAM.85047
dcterms.dateAccepted2022-04-26
rioxxterms.versionofrecord10.1093/hmg/ddac102
rioxxterms.versionAM
dc.contributor.orcidDunning, Alison M [0000-0001-6651-7166]
dc.contributor.orcidHuo, Dezheng [0000-0002-4041-1678]
dc.identifier.eissn1460-2083
rioxxterms.typeJournal Article/Review
pubs.funder-project-idCancer Research Uk (None)
pubs.funder-project-idCancer Research UK (A16563)
cam.issuedOnline2022-05-12
cam.orpheus.success2022-05-31 - Embargo set during processing via Fast-track
cam.depositDate2022-05-26
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2023-05-12


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record