Race-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseases

Genetic risk score (GRS) based on disease risk-associated single nucleotide polymorphisms (SNPs) is an informative tool that can be used to provide inherited information for specific diseases in addition to family history. However, it is still unknown whether only SNPs that are implicated in a speci...

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Main Authors: Rong Na, Dingwei Ye, Jun Qi, Fang Liu, Xiaoling Lin, Brian T Helfand, Charles B Brendler, Carly Conran, Jian Gong, Yishuo Wu, Xu Gao, Yaqing Chen, S Lilly Zheng, Zengnan Mo, Qiang Ding, Yinghao Sun, Jianfeng Xu
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2016-01-01
Series:Asian Journal of Andrology
Subjects:
Online Access:http://www.ajandrology.com/article.asp?issn=1008-682X;year=2016;volume=18;issue=4;spage=525;epage=529;aulast=Na
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spelling doaj-93b3f3c8bd8c4e688816cf04080dccc92020-11-24T22:28:13ZengWolters Kluwer Medknow PublicationsAsian Journal of Andrology1008-682X1745-72622016-01-0118452552910.4103/1008-682X.179857Race-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseasesRong NaDingwei YeJun QiFang LiuXiaoling LinBrian T HelfandCharles B BrendlerCarly ConranJian GongYishuo WuXu GaoYaqing ChenS Lilly ZhengZengnan MoQiang DingYinghao SunJianfeng XuGenetic risk score (GRS) based on disease risk-associated single nucleotide polymorphisms (SNPs) is an informative tool that can be used to provide inherited information for specific diseases in addition to family history. However, it is still unknown whether only SNPs that are implicated in a specific racial group should be used when calculating GRSs. The objective of this study is to compare the performance of race-specific GRS and nonrace-specific GRS for predicting prostate cancer (PCa) among 1338 patients underwent prostate biopsy in Shanghai, China. A race-specific GRS was calculated with seven PCa risk-associated SNPs implicated in East Asians (GRS7), and a nonrace-specific GRS was calculated based on 76 PCa risk-associated SNPs implicated in at least one racial group (GRS76). The means of GRS7 and GRS76 were 1.19 and 1.85, respectively, in the study population. Higher GRS7 and GRS76 were independent predictors for PCa and high-grade PCa in univariate and multivariate analyses. GRS7 had a better area under the receiver-operating curve (AUC) than GRS76 for discriminating PCa (0.602 vs 0.573) and high-grade PCa (0.603 vs 0.575) but did not reach statistical significance. GRS7 had a better (up to 13% at different cutoffs) positive predictive value (PPV) than GRS76. In conclusion, a race-specific GRS is more robust and has a better performance when predicting PCa in East Asian men than a GRS calculated using SNPs that are not shown to be associated with East Asians.http://www.ajandrology.com/article.asp?issn=1008-682X;year=2016;volume=18;issue=4;spage=525;epage=529;aulast=NaChinese; genetic risk score; genome-wide association study; prostate cancer; single nucleotide polymorphism
collection DOAJ
language English
format Article
sources DOAJ
author Rong Na
Dingwei Ye
Jun Qi
Fang Liu
Xiaoling Lin
Brian T Helfand
Charles B Brendler
Carly Conran
Jian Gong
Yishuo Wu
Xu Gao
Yaqing Chen
S Lilly Zheng
Zengnan Mo
Qiang Ding
Yinghao Sun
Jianfeng Xu
spellingShingle Rong Na
Dingwei Ye
Jun Qi
Fang Liu
Xiaoling Lin
Brian T Helfand
Charles B Brendler
Carly Conran
Jian Gong
Yishuo Wu
Xu Gao
Yaqing Chen
S Lilly Zheng
Zengnan Mo
Qiang Ding
Yinghao Sun
Jianfeng Xu
Race-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseases
Asian Journal of Andrology
Chinese; genetic risk score; genome-wide association study; prostate cancer; single nucleotide polymorphism
author_facet Rong Na
Dingwei Ye
Jun Qi
Fang Liu
Xiaoling Lin
Brian T Helfand
Charles B Brendler
Carly Conran
Jian Gong
Yishuo Wu
Xu Gao
Yaqing Chen
S Lilly Zheng
Zengnan Mo
Qiang Ding
Yinghao Sun
Jianfeng Xu
author_sort Rong Na
title Race-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseases
title_short Race-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseases
title_full Race-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseases
title_fullStr Race-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseases
title_full_unstemmed Race-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseases
title_sort race-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseases
publisher Wolters Kluwer Medknow Publications
series Asian Journal of Andrology
issn 1008-682X
1745-7262
publishDate 2016-01-01
description Genetic risk score (GRS) based on disease risk-associated single nucleotide polymorphisms (SNPs) is an informative tool that can be used to provide inherited information for specific diseases in addition to family history. However, it is still unknown whether only SNPs that are implicated in a specific racial group should be used when calculating GRSs. The objective of this study is to compare the performance of race-specific GRS and nonrace-specific GRS for predicting prostate cancer (PCa) among 1338 patients underwent prostate biopsy in Shanghai, China. A race-specific GRS was calculated with seven PCa risk-associated SNPs implicated in East Asians (GRS7), and a nonrace-specific GRS was calculated based on 76 PCa risk-associated SNPs implicated in at least one racial group (GRS76). The means of GRS7 and GRS76 were 1.19 and 1.85, respectively, in the study population. Higher GRS7 and GRS76 were independent predictors for PCa and high-grade PCa in univariate and multivariate analyses. GRS7 had a better area under the receiver-operating curve (AUC) than GRS76 for discriminating PCa (0.602 vs 0.573) and high-grade PCa (0.603 vs 0.575) but did not reach statistical significance. GRS7 had a better (up to 13% at different cutoffs) positive predictive value (PPV) than GRS76. In conclusion, a race-specific GRS is more robust and has a better performance when predicting PCa in East Asian men than a GRS calculated using SNPs that are not shown to be associated with East Asians.
topic Chinese; genetic risk score; genome-wide association study; prostate cancer; single nucleotide polymorphism
url http://www.ajandrology.com/article.asp?issn=1008-682X;year=2016;volume=18;issue=4;spage=525;epage=529;aulast=Na
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