Cargando…

Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry

BACKGROUND: Approximately 100 common breast cancer susceptibility alleles have been identified in genome-wide association studies (GWAS). The utility of these variants in breast cancer risk prediction models has not been evaluated adequately in women of Asian ancestry. METHODS: We evaluated 88 breas...

Descripción completa

Detalles Bibliográficos
Autores principales: Wen, Wanqing, Shu, Xiao-ou, Guo, Xingyi, Cai, Qiuyin, Long, Jirong, Bolla, Manjeet K., Michailidou, Kyriaki, Dennis, Joe, Wang, Qin, Gao, Yu-Tang, Zheng, Ying, Dunning, Alison M., García-Closas, Montserrat, Brennan, Paul, Chen, Shou-Tung, Choi, Ji-Yeob, Hartman, Mikael, Ito, Hidemi, Lophatananon, Artitaya, Matsuo, Keitaro, Miao, Hui, Muir, Kenneth, Sangrajrang, Suleeporn, Shen, Chen-Yang, Teo, Soo H., Tseng, Chiu-chen, Wu, Anna H., Yip, Cheng Har, Simard, Jacques, Pharoah, Paul D. P., Hall, Per, Kang, Daehee, Xiang, Yongbing, Easton, Douglas F., Zheng, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5146840/
https://www.ncbi.nlm.nih.gov/pubmed/27931260
http://dx.doi.org/10.1186/s13058-016-0786-1
_version_ 1782473562394722304
author Wen, Wanqing
Shu, Xiao-ou
Guo, Xingyi
Cai, Qiuyin
Long, Jirong
Bolla, Manjeet K.
Michailidou, Kyriaki
Dennis, Joe
Wang, Qin
Gao, Yu-Tang
Zheng, Ying
Dunning, Alison M.
García-Closas, Montserrat
Brennan, Paul
Chen, Shou-Tung
Choi, Ji-Yeob
Hartman, Mikael
Ito, Hidemi
Lophatananon, Artitaya
Matsuo, Keitaro
Miao, Hui
Muir, Kenneth
Sangrajrang, Suleeporn
Shen, Chen-Yang
Teo, Soo H.
Tseng, Chiu-chen
Wu, Anna H.
Yip, Cheng Har
Simard, Jacques
Pharoah, Paul D. P.
Hall, Per
Kang, Daehee
Xiang, Yongbing
Easton, Douglas F.
Zheng, Wei
author_facet Wen, Wanqing
Shu, Xiao-ou
Guo, Xingyi
Cai, Qiuyin
Long, Jirong
Bolla, Manjeet K.
Michailidou, Kyriaki
Dennis, Joe
Wang, Qin
Gao, Yu-Tang
Zheng, Ying
Dunning, Alison M.
García-Closas, Montserrat
Brennan, Paul
Chen, Shou-Tung
Choi, Ji-Yeob
Hartman, Mikael
Ito, Hidemi
Lophatananon, Artitaya
Matsuo, Keitaro
Miao, Hui
Muir, Kenneth
Sangrajrang, Suleeporn
Shen, Chen-Yang
Teo, Soo H.
Tseng, Chiu-chen
Wu, Anna H.
Yip, Cheng Har
Simard, Jacques
Pharoah, Paul D. P.
Hall, Per
Kang, Daehee
Xiang, Yongbing
Easton, Douglas F.
Zheng, Wei
author_sort Wen, Wanqing
collection PubMed
description BACKGROUND: Approximately 100 common breast cancer susceptibility alleles have been identified in genome-wide association studies (GWAS). The utility of these variants in breast cancer risk prediction models has not been evaluated adequately in women of Asian ancestry. METHODS: We evaluated 88 breast cancer risk variants that were identified previously by GWAS in 11,760 cases and 11,612 controls of Asian ancestry. SNPs confirmed to be associated with breast cancer risk in Asian women were used to construct a polygenic risk score (PRS). The relative and absolute risks of breast cancer by the PRS percentiles were estimated based on the PRS distribution, and were used to stratify women into different levels of breast cancer risk. RESULTS: We confirmed significant associations with breast cancer risk for SNPs in 44 of the 78 previously reported loci at P < 0.05. Compared with women in the middle quintile of the PRS, women in the top 1% group had a 2.70-fold elevated risk of breast cancer (95% CI: 2.15–3.40). The risk prediction model with the PRS had an area under the receiver operating characteristic curve of 0.606. The lifetime risk of breast cancer for Shanghai Chinese women in the lowest and highest 1% of the PRS was 1.35% and 10.06%, respectively. CONCLUSION: Approximately one-half of GWAS-identified breast cancer risk variants can be directly replicated in East Asian women. Collectively, common genetic variants are important predictors for breast cancer risk. Using common genetic variants for breast cancer could help identify women at high risk of breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-016-0786-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5146840
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-51468402016-12-15 Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry Wen, Wanqing Shu, Xiao-ou Guo, Xingyi Cai, Qiuyin Long, Jirong Bolla, Manjeet K. Michailidou, Kyriaki Dennis, Joe Wang, Qin Gao, Yu-Tang Zheng, Ying Dunning, Alison M. García-Closas, Montserrat Brennan, Paul Chen, Shou-Tung Choi, Ji-Yeob Hartman, Mikael Ito, Hidemi Lophatananon, Artitaya Matsuo, Keitaro Miao, Hui Muir, Kenneth Sangrajrang, Suleeporn Shen, Chen-Yang Teo, Soo H. Tseng, Chiu-chen Wu, Anna H. Yip, Cheng Har Simard, Jacques Pharoah, Paul D. P. Hall, Per Kang, Daehee Xiang, Yongbing Easton, Douglas F. Zheng, Wei Breast Cancer Res Research Article BACKGROUND: Approximately 100 common breast cancer susceptibility alleles have been identified in genome-wide association studies (GWAS). The utility of these variants in breast cancer risk prediction models has not been evaluated adequately in women of Asian ancestry. METHODS: We evaluated 88 breast cancer risk variants that were identified previously by GWAS in 11,760 cases and 11,612 controls of Asian ancestry. SNPs confirmed to be associated with breast cancer risk in Asian women were used to construct a polygenic risk score (PRS). The relative and absolute risks of breast cancer by the PRS percentiles were estimated based on the PRS distribution, and were used to stratify women into different levels of breast cancer risk. RESULTS: We confirmed significant associations with breast cancer risk for SNPs in 44 of the 78 previously reported loci at P < 0.05. Compared with women in the middle quintile of the PRS, women in the top 1% group had a 2.70-fold elevated risk of breast cancer (95% CI: 2.15–3.40). The risk prediction model with the PRS had an area under the receiver operating characteristic curve of 0.606. The lifetime risk of breast cancer for Shanghai Chinese women in the lowest and highest 1% of the PRS was 1.35% and 10.06%, respectively. CONCLUSION: Approximately one-half of GWAS-identified breast cancer risk variants can be directly replicated in East Asian women. Collectively, common genetic variants are important predictors for breast cancer risk. Using common genetic variants for breast cancer could help identify women at high risk of breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-016-0786-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-12-08 2016 /pmc/articles/PMC5146840/ /pubmed/27931260 http://dx.doi.org/10.1186/s13058-016-0786-1 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wen, Wanqing
Shu, Xiao-ou
Guo, Xingyi
Cai, Qiuyin
Long, Jirong
Bolla, Manjeet K.
Michailidou, Kyriaki
Dennis, Joe
Wang, Qin
Gao, Yu-Tang
Zheng, Ying
Dunning, Alison M.
García-Closas, Montserrat
Brennan, Paul
Chen, Shou-Tung
Choi, Ji-Yeob
Hartman, Mikael
Ito, Hidemi
Lophatananon, Artitaya
Matsuo, Keitaro
Miao, Hui
Muir, Kenneth
Sangrajrang, Suleeporn
Shen, Chen-Yang
Teo, Soo H.
Tseng, Chiu-chen
Wu, Anna H.
Yip, Cheng Har
Simard, Jacques
Pharoah, Paul D. P.
Hall, Per
Kang, Daehee
Xiang, Yongbing
Easton, Douglas F.
Zheng, Wei
Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry
title Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry
title_full Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry
title_fullStr Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry
title_full_unstemmed Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry
title_short Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry
title_sort prediction of breast cancer risk based on common genetic variants in women of east asian ancestry
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5146840/
https://www.ncbi.nlm.nih.gov/pubmed/27931260
http://dx.doi.org/10.1186/s13058-016-0786-1
work_keys_str_mv AT wenwanqing predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT shuxiaoou predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT guoxingyi predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT caiqiuyin predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT longjirong predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT bollamanjeetk predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT michailidoukyriaki predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT dennisjoe predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT wangqin predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT gaoyutang predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT zhengying predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT dunningalisonm predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT garciaclosasmontserrat predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT brennanpaul predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT chenshoutung predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT choijiyeob predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT hartmanmikael predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT itohidemi predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT lophatananonartitaya predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT matsuokeitaro predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT miaohui predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT muirkenneth predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT sangrajrangsuleeporn predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT shenchenyang predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT teosooh predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT tsengchiuchen predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT wuannah predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT yipchenghar predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT simardjacques predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT pharoahpauldp predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT hallper predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT kangdaehee predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT xiangyongbing predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT eastondouglasf predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry
AT zhengwei predictionofbreastcancerriskbasedoncommongeneticvariantsinwomenofeastasianancestry