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Article: Validation of the novel susceptibility loci for prostate cancer in a Chinese population

TitleValidation of the novel susceptibility loci for prostate cancer in a Chinese population
Authors
KeywordsChinese
Genetic risk score
Prostate cancer
Single nucleotide polymorphisms
Issue Date2018
Citation
Oncology Letters, 2018, v. 15, n. 2, p. 2567-2573 How to Cite?
AbstractThe present study evaluated 23 newly identified susceptibility loci for prostate cancer (PCa) in a Chinese population and assessed whether any validated loci were associated with the genetic risk score (GRS) of PCa in a Chinese population. A total of 1,417 patients with PCa and 1,008 controls were recruited in the present study. The association of each single nucleotide polymorphism (SNP) with PCa risk and PCa aggressiveness was analyzed. The predictive ability of two GRSs based on 30 SNPs (GRS30) and the 9 most significant SNPs (GRS9) in the Chinese population were also compared. Among the 19 SNPs evaluated, 1 SNP (rs7153648 at 14q23) was associated with PCa risk [odds ratio (OR)=1.206, P<0.05)] and 1 SNP (rs636291 at 1p23) was associated with PCa aggressiveness (OR=1.123, P<0.05). GRS30 and GRS9 were significantly increased in patients with PCa compared with that among non-PCa controls. The areas under receiver operating characteristic curves of GRS9 and GRS 30 were similar (0.792 for GRS9 vs. 0.7994 for GRS30, P=0.138). To conclude, among the 19 SNPs evaluated, only 1 SNP was associated with PCa risk in the Chinese population. SNPs that were weakly associated with PCa were unlikely to improve the predictive ability of existing GRS in the Chinese population.
Persistent Identifierhttp://hdl.handle.net/10722/314402
ISSN
2021 Impact Factor: 3.111
2020 SCImago Journal Rankings: 0.766

 

DC FieldValueLanguage
dc.contributor.authorWu, Yishuo-
dc.contributor.authorChen, Haitao-
dc.contributor.authorJi, Ying-
dc.contributor.authorNa, Rong-
dc.contributor.authorMo, Zengnan-
dc.contributor.authorYe, Dingwei-
dc.contributor.authorWang, Meilin-
dc.contributor.authorQi, Jun-
dc.contributor.authorLin, Xiaoling-
dc.contributor.authorDing, Qiang-
dc.contributor.authorXu, Jianfeng-
dc.contributor.authorZheng, S. Lilly-
dc.contributor.authorSun, Yinghao-
dc.contributor.authorMeng, Wei-
dc.date.accessioned2022-07-20T12:03:57Z-
dc.date.available2022-07-20T12:03:57Z-
dc.date.issued2018-
dc.identifier.citationOncology Letters, 2018, v. 15, n. 2, p. 2567-2573-
dc.identifier.issn1792-1074-
dc.identifier.urihttp://hdl.handle.net/10722/314402-
dc.description.abstractThe present study evaluated 23 newly identified susceptibility loci for prostate cancer (PCa) in a Chinese population and assessed whether any validated loci were associated with the genetic risk score (GRS) of PCa in a Chinese population. A total of 1,417 patients with PCa and 1,008 controls were recruited in the present study. The association of each single nucleotide polymorphism (SNP) with PCa risk and PCa aggressiveness was analyzed. The predictive ability of two GRSs based on 30 SNPs (GRS30) and the 9 most significant SNPs (GRS9) in the Chinese population were also compared. Among the 19 SNPs evaluated, 1 SNP (rs7153648 at 14q23) was associated with PCa risk [odds ratio (OR)=1.206, P<0.05)] and 1 SNP (rs636291 at 1p23) was associated with PCa aggressiveness (OR=1.123, P<0.05). GRS30 and GRS9 were significantly increased in patients with PCa compared with that among non-PCa controls. The areas under receiver operating characteristic curves of GRS9 and GRS 30 were similar (0.792 for GRS9 vs. 0.7994 for GRS30, P=0.138). To conclude, among the 19 SNPs evaluated, only 1 SNP was associated with PCa risk in the Chinese population. SNPs that were weakly associated with PCa were unlikely to improve the predictive ability of existing GRS in the Chinese population.-
dc.languageeng-
dc.relation.ispartofOncology Letters-
dc.subjectChinese-
dc.subjectGenetic risk score-
dc.subjectProstate cancer-
dc.subjectSingle nucleotide polymorphisms-
dc.titleValidation of the novel susceptibility loci for prostate cancer in a Chinese population-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.3892/ol.2017.7602-
dc.identifier.scopuseid_2-s2.0-85038419613-
dc.identifier.volume15-
dc.identifier.issue2-
dc.identifier.spage2567-
dc.identifier.epage2573-
dc.identifier.eissn1792-1082-

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