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

TitleRace-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseases
Authors
KeywordsChinese
genetic risk score
genome-wide association study
prostate cancer
single nucleotide polymorphism
Issue Date2016
Citation
Asian Journal of Andrology, 2016, v. 18, n. 4, p. 525-529 How to Cite?
AbstractGenetic 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.
Persistent Identifierhttp://hdl.handle.net/10722/314352
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 0.689
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorNa, Rong-
dc.contributor.authorYe, Dingwei-
dc.contributor.authorQi, Jun-
dc.contributor.authorLiu, Fang-
dc.contributor.authorLin, Xiaoling-
dc.contributor.authorHelfand, Brian-
dc.contributor.authorBrendler, Charles-
dc.contributor.authorConran, Carly-
dc.contributor.authorGong, Jian-
dc.contributor.authorWu, Yishuo-
dc.contributor.authorGao, Xu-
dc.contributor.authorChen, Yaqing-
dc.contributor.authorZheng, S.-
dc.contributor.authorMo, Zengnan-
dc.contributor.authorDing, Qiang-
dc.contributor.authorSun, Yinghao-
dc.contributor.authorXu, Jianfeng-
dc.date.accessioned2022-07-20T12:03:43Z-
dc.date.available2022-07-20T12:03:43Z-
dc.date.issued2016-
dc.identifier.citationAsian Journal of Andrology, 2016, v. 18, n. 4, p. 525-529-
dc.identifier.issn1008-682X-
dc.identifier.urihttp://hdl.handle.net/10722/314352-
dc.description.abstractGenetic 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.-
dc.languageeng-
dc.relation.ispartofAsian Journal of Andrology-
dc.subjectChinese-
dc.subjectgenetic risk score-
dc.subjectgenome-wide association study-
dc.subjectprostate cancer-
dc.subjectsingle nucleotide polymorphism-
dc.titleRace-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseases-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.4103/1008-682X.179857-
dc.identifier.pmid27140652-
dc.identifier.pmcidPMC4955174-
dc.identifier.scopuseid_2-s2.0-84977667218-
dc.identifier.volume18-
dc.identifier.issue4-
dc.identifier.spage525-
dc.identifier.epage529-
dc.identifier.eissn1745-7262-
dc.identifier.isiWOS:000380245900006-

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