Jie Zheng, Fang Liu, and Xiaoling Lin contributed equally to this work.
Predictive Performance of prostate cancer risk in Chinese men using 33 reported prostate cancer risk-associated SNPs†
Article first published online: 27 JUL 2011
Copyright © 2011 Wiley Periodicals, Inc.
Volume 72, Issue 5, pages 577–583, April 2012
How to Cite
Zheng, J., Liu, F., Lin, X., Wang, X., Ding, Q., Jiang, H., Chen, H., Lu, D., Jin, G., Hsing, A. W., Shao, Q., Qi, J., Ye, Y., Wang, Z., Gao, X., Wang, G., Chu, L. W., OuYang, J., Huang, Y., Chen, Y., Gao, Y., Shi, R., Wu, Q., Wang, M., Zhang, Z., Hu, Y., Sun, J., Zheng, S. L., Gao, X., Xu, C., Mo, Z., Sun, Y. and Xu, J. (2012), Predictive Performance of prostate cancer risk in Chinese men using 33 reported prostate cancer risk-associated SNPs. Prostate, 72: 577–583. doi: 10.1002/pros.21462
- Issue published online: 22 FEB 2012
- Article first published online: 27 JUL 2011
- Manuscript Accepted: 29 JUN 2011
- Manuscript Received: 28 APR 2011
- National Cancer Institute. Grant Number: 1R01CA129684-01
- genetic score;
- cumulative risk;
- prostate cancer;
- risk prediction;
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.
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.
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.
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.