Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry
Posted on 2016-12-08 - 05:00
Abstract 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 Pâ<â0.05. 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: 2.15â3.40). 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.
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Wen, Wanqing; Shu, Xiao-ou; Guo, Xingyi; Cai, Qiuyin; Long, Jirong; Bolla, Manjeet; et al. (2016). Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.3598970.v1
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AUTHORS (35)
WW
Wanqing Wen
XS
Xiao-ou Shu
XG
Xingyi Guo
QC
Qiuyin Cai
JL
Jirong Long
MB
Manjeet Bolla
KM
Kyriaki Michailidou
JD
Joe Dennis
QW
Qin Wang
YG
Yu-Tang Gao
YZ
Ying Zheng
AD
Alison Dunning
MG
Montserrat GarcĂa-Closas
PB
Paul Brennan
SC
Shou-Tung Chen
JC
Ji-Yeob Choi
MH
Mikael Hartman
HI
Hidemi Ito
AL
Artitaya Lophatananon
KM
Keitaro Matsuo