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Article: European polygenic risk score for prediction of breast cancer shows similar performance in Asian women
Title | European polygenic risk score for prediction of breast cancer shows similar performance in Asian women |
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Authors | Ho, WKTan, MMMavaddat, NTai, MCMariapun, SLi, JHo, PJDennis, JTyrer, JPBolla, MKMichailidou, KWang, QKang, DChoi, JYJamaris, SShu, XOYoon, SYPark, SKKim, SWShen, CYYu, JCTan, EYChan, PMYMuir, KLophatananon, AWu, AHStram, DOMatsuo, KIto, HChan, CWNgeow, JYong, WSLim, SHLim, GHKwong, AChan, TLTan, SMSeah, JJohn, EMKurian, AWKoh, WPKhor, CCIwasaki, MYamaji, TTan, KMVTan, KTBSpinelli, JJAronson, KJHasan, SNRahmat, KVijayananthan, ASim, XPharoah, PDPZheng, WDunning, AMSimard, Jvan Dam, RMYip, CHTaib, NAMHartman, MEaston, DFTeo, SHAntoniou, AC |
Issue Date | 2020 |
Publisher | Nature Research (part of Springer Nature): Fully open access journals. The Journal's web site is located at http://www.nature.com/ncomms/index.html |
Citation | Nature Communications, 2020, v. 11, p. article no. 3833 How to Cite? |
Abstract | Polygenic risk scores (PRS) have been shown to predict breast cancer risk in European women, but their utility in Asian women is unclear. Here we evaluate the best performing PRSs for European-ancestry women using data from 17,262 breast cancer cases and 17,695 controls of Asian ancestry from 13 case-control studies, and 10,255 Chinese women from a prospective cohort (413 incident breast cancers). Compared to women in the middle quintile of the risk distribution, women in the highest 1% of PRS distribution have a ~2.7-fold risk and women in the lowest 1% of PRS distribution has ~0.4-fold risk of developing breast cancer. There is no evidence of heterogeneity in PRS performance in Chinese, Malay and Indian women. A PRS developed for European-ancestry women is also predictive of breast cancer risk in Asian women and can help in developing risk-stratified screening programmes in Asia. © 2020, The Author(s). |
Persistent Identifier | http://hdl.handle.net/10722/290680 |
ISSN | 2023 Impact Factor: 14.7 2023 SCImago Journal Rankings: 4.887 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Ho, WK | - |
dc.contributor.author | Tan, MM | - |
dc.contributor.author | Mavaddat, N | - |
dc.contributor.author | Tai, MC | - |
dc.contributor.author | Mariapun, S | - |
dc.contributor.author | Li, J | - |
dc.contributor.author | Ho, PJ | - |
dc.contributor.author | Dennis, J | - |
dc.contributor.author | Tyrer, JP | - |
dc.contributor.author | Bolla, MK | - |
dc.contributor.author | Michailidou, K | - |
dc.contributor.author | Wang, Q | - |
dc.contributor.author | Kang, D | - |
dc.contributor.author | Choi, JY | - |
dc.contributor.author | Jamaris, S | - |
dc.contributor.author | Shu, XO | - |
dc.contributor.author | Yoon, SY | - |
dc.contributor.author | Park, SK | - |
dc.contributor.author | Kim, SW | - |
dc.contributor.author | Shen, CY | - |
dc.contributor.author | Yu, JC | - |
dc.contributor.author | Tan, EY | - |
dc.contributor.author | Chan, PMY | - |
dc.contributor.author | Muir, K | - |
dc.contributor.author | Lophatananon, A | - |
dc.contributor.author | Wu, AH | - |
dc.contributor.author | Stram, DO | - |
dc.contributor.author | Matsuo, K | - |
dc.contributor.author | Ito, H | - |
dc.contributor.author | Chan, CW | - |
dc.contributor.author | Ngeow, J | - |
dc.contributor.author | Yong, WS | - |
dc.contributor.author | Lim, SH | - |
dc.contributor.author | Lim, GH | - |
dc.contributor.author | Kwong, A | - |
dc.contributor.author | Chan, TL | - |
dc.contributor.author | Tan, SM | - |
dc.contributor.author | Seah, J | - |
dc.contributor.author | John, EM | - |
dc.contributor.author | Kurian, AW | - |
dc.contributor.author | Koh, WP | - |
dc.contributor.author | Khor, CC | - |
dc.contributor.author | Iwasaki, M | - |
dc.contributor.author | Yamaji, T | - |
dc.contributor.author | Tan, KMV | - |
dc.contributor.author | Tan, KTB | - |
dc.contributor.author | Spinelli, JJ | - |
dc.contributor.author | Aronson, KJ | - |
dc.contributor.author | Hasan, SN | - |
dc.contributor.author | Rahmat, K | - |
dc.contributor.author | Vijayananthan, A | - |
dc.contributor.author | Sim, X | - |
dc.contributor.author | Pharoah, PDP | - |
dc.contributor.author | Zheng, W | - |
dc.contributor.author | Dunning, AM | - |
dc.contributor.author | Simard, J | - |
dc.contributor.author | van Dam, RM | - |
dc.contributor.author | Yip, CH | - |
dc.contributor.author | Taib, NAM | - |
dc.contributor.author | Hartman, M | - |
dc.contributor.author | Easton, DF | - |
dc.contributor.author | Teo, SH | - |
dc.contributor.author | Antoniou, AC | - |
dc.date.accessioned | 2020-11-02T05:45:36Z | - |
dc.date.available | 2020-11-02T05:45:36Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Nature Communications, 2020, v. 11, p. article no. 3833 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.uri | http://hdl.handle.net/10722/290680 | - |
dc.description.abstract | Polygenic risk scores (PRS) have been shown to predict breast cancer risk in European women, but their utility in Asian women is unclear. Here we evaluate the best performing PRSs for European-ancestry women using data from 17,262 breast cancer cases and 17,695 controls of Asian ancestry from 13 case-control studies, and 10,255 Chinese women from a prospective cohort (413 incident breast cancers). Compared to women in the middle quintile of the risk distribution, women in the highest 1% of PRS distribution have a ~2.7-fold risk and women in the lowest 1% of PRS distribution has ~0.4-fold risk of developing breast cancer. There is no evidence of heterogeneity in PRS performance in Chinese, Malay and Indian women. A PRS developed for European-ancestry women is also predictive of breast cancer risk in Asian women and can help in developing risk-stratified screening programmes in Asia. © 2020, The Author(s). | - |
dc.language | eng | - |
dc.publisher | Nature Research (part of Springer Nature): Fully open access journals. The Journal's web site is located at http://www.nature.com/ncomms/index.html | - |
dc.relation.ispartof | Nature Communications | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | European polygenic risk score for prediction of breast cancer shows similar performance in Asian women | - |
dc.type | Article | - |
dc.identifier.email | Kwong, A: avakwong@hku.hk | - |
dc.identifier.authority | Kwong, A=rp01734 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1038/s41467-020-17680-w | - |
dc.identifier.pmid | 32737321 | - |
dc.identifier.pmcid | PMC7395776 | - |
dc.identifier.scopus | eid_2-s2.0-85088859082 | - |
dc.identifier.hkuros | 318519 | - |
dc.identifier.volume | 11 | - |
dc.identifier.spage | article no. 3833 | - |
dc.identifier.epage | article no. 3833 | - |
dc.identifier.isi | WOS:000560366500008 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 2041-1723 | - |