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Predictive Performance of prostate cancer risk in Chinese men using 33 reported prostate cancer risk‐associated SNPs
Author(s) -
Zheng Jie,
Liu Fang,
Lin Xiaoling,
Wang Xiang,
Ding Qiang,
Jiang Haowen,
Chen Hongyan,
Lu Daru,
Jin Guangfu,
Hsing Ann W.,
Shao Qiang,
Qi Jun,
Ye Yu,
Wang Zhong,
Gao Xin,
Wang Guozeng,
Chu Lisa W.,
OuYang Jun,
Huang Yichen,
Chen Yanbo,
Gao Yutang,
Shi Rong,
Wu Qijun,
Wang Meilin,
Zhang Zhengdong,
Hu Yanlin,
Sun Jielin,
Zheng S. Lilly,
Gao Xu,
Xu Chuanliang,
Mo Zengnan,
Sun Yinghao,
Xu Jianfeng
Publication year - 2012
Publication title -
the prostate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.295
H-Index - 123
eISSN - 1097-0045
pISSN - 0270-4137
DOI - 10.1002/pros.21462
Subject(s) - single nucleotide polymorphism , prostate cancer , receiver operating characteristic , medicine , oncology , genome wide association study , genetic model , prostate , cancer , genetics , genotype , biology , gene
BACKGROUND Genome‐wide association studies (GWAS) have identified more than 30 single nucleotide polymorphisms (SNPs) that were reproducibly associated with prostate cancer (PCa) risk in populations of European descent. In aggregate, these variants have shown potential to predict risk for PCa in European men. However, their utility for PCa risk prediction in Chinese men is unknown. METHODS We selected 33 PCa risk‐related SNPs that were originally identified in populations of European descent. Genetic scores were estimated for subjects in a Chinese case–control study (1,108 cases and 1,525 controls) based on these SNPs. To assess the performance of the genetic score on its ability to predict risk for PCa, we calculated area under the curve (AUC) of the receiver operating characteristic (ROC) in combination with 10‐fold cross‐validation. RESULTS The genetic score was significantly higher for cases than controls ( P  = 5.91 × 10 −20 ), and was significantly associated with risk of PCa in a dose‐dependent manner ( P for trend: 4.78 × 10 −18 ). The AUC of the genetic score was 0.604 for risk prediction of PCa in Chinese men. When ORs derived from this Chinese study population were used to calculate genetic score, the AUCs were 0.631 for all 33 SNPs and 0.617 when using only the 11 significant SNPs. CONCLUSION Our results indicate that genetic variants related to PCa risk may be useful for risk prediction in Chinese men. Prospective studies are warranted to further evaluate these findings. Prostate 72:577–583, 2012. © 2011 Wiley Periodicals, Inc.

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