Predictive performance of prostate cancer risk in Chinese men using 33 reported prostate cancer risk-associated SNPs.

Predictive performance of prostate cancer risk in Chinese men using 33 reported prostate cancer risk-associated SNPs.
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使用 33 个报告的前列腺癌风险相关 SNP 对中国男性的前列腺癌风险进行预测。

DOI:
10.1002/pros.21462
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发表时间:
2012-04
期刊:
影响因子:
2.8
通讯作者:
Xu, Jianfeng
Xu, Jianfeng
中科院分区:
医学3区
文献类型:
--
作者:
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

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全基因组关联研究发现,在欧洲血统的人群中,有30多个单核苷酸多态(SNPs)与前列腺癌(Pca)风险相关。总体而言,这些变异已显示出预测欧洲男性前列腺癌风险的潜力。然而,它们对中国男性前列腺癌风险预测的有效性尚不清楚。我们选择了33个最初在欧洲血统人群中发现的与PCA风险相关的SNP。在一项基于这些SNP的中国病例对照研究中(1,108例病例和1,525例对照),受试者的遗传得分被估计出来。为了评估遗传评分在预测PCa风险方面的表现,我们结合10倍交叉验证计算了受试者工作特征(ROC)的曲线下面积(AUC)。病例组遗传评分显著高于对照组(P=5.91×10-20),且与PCa发病风险呈剂量依赖关系(趋势P=4.78×10-18)。该遗传评分预测中国男性前列腺癌风险的AUC值为0.604。当使用来自中国研究群体的OR值来计算遗传得分时,所有33个SNP的AUC为0.631,当仅使用11个显著SNP时,AUC为0.617。我们的结果表明,与前列腺癌风险相关的基因变异可能有助于预测中国男性的风险。有必要进行前瞻性研究,以进一步评估这些发现。
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.
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期刊: NATURE GENETICS
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发表时间: 2011-07
期刊: EUROPEAN UROLOGY
影响因子: 23.4
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DOI: 10.1038/ng.90
发表时间: 2008-03-01
期刊: NATURE GENETICS
影响因子: 30.8
作者:
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DOI: 10.1038/ng.448
发表时间: 2009-10
期刊: NATURE GENETICS
影响因子: 30.8
作者:
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发表时间: 1988-09-01
期刊: BIOMETRICS
影响因子: 1.9
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