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Article: Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma

TitleGenetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma
Authors
KeywordsChinese
Genetic score
Renal cell carcinoma
SNPs
Issue Date2016
Citation
Oncotarget, 2016, v. 7, n. 14, p. 18631-18637 How to Cite?
AbstractThe objective of this study was to evaluate whether renal cell carcinoma (RCC) riskassociated single nucleotide polymorphisms (SNPs) could reflect the individual inherited risks of RCC. A total of 346 RCC patients and 1,130 controls were recruited in this casecontrol study. Genetic scores were calculated for each individual based on the odds ratios and frequencies of risk-associated SNPs. Four SNPs were significantly associated with RCC in Chinese population. Two genetic score models were established, genetic score 1 (rs10054504, rs7023329 and rs718314) and genetic score 2 (rs10054504, rs7023329 and rs1049380). For genetic score 1, the individual likelihood of RCC with low (< 0.8), medium (0.8-1.2) and high (≥ 1.2) genetic score 1 was 15.61%, 22.25% and 33.92% respectively (P-trend=6.88×10-7). For genetic score 2, individual with low (< 0.8), medium (0.8-1.2) and high (≥ 1.2) genetic score 2 would have likelihood of RCC as 14.39%, 24.54% and 36.48%, respectively (P-trend=1.27×10-10). The area under the receiver operating curve (AUC) of genetic score 1 was 0.626, and AUC of genetic score 2 was 0.658. We concluded that genetic score can reveal personal risk and inherited risk of RCC, especially when family history is not available.
Persistent Identifierhttp://hdl.handle.net/10722/314348
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWu, Yishuo-
dc.contributor.authorZhang, Ning-
dc.contributor.authorLi, Kaiwen-
dc.contributor.authorChen, Haitao-
dc.contributor.authorLin, Xiaolin-
dc.contributor.authorYu, Yang-
dc.contributor.authorGou, Yuancheng-
dc.contributor.authorHou, Jiangang-
dc.contributor.authorJiang, Deke-
dc.contributor.authorNa, Rong-
dc.contributor.authorWang, Xiang-
dc.contributor.authorDing, Qiang-
dc.contributor.authorXu, Jianfeng-
dc.date.accessioned2022-07-20T12:03:42Z-
dc.date.available2022-07-20T12:03:42Z-
dc.date.issued2016-
dc.identifier.citationOncotarget, 2016, v. 7, n. 14, p. 18631-18637-
dc.identifier.urihttp://hdl.handle.net/10722/314348-
dc.description.abstractThe objective of this study was to evaluate whether renal cell carcinoma (RCC) riskassociated single nucleotide polymorphisms (SNPs) could reflect the individual inherited risks of RCC. A total of 346 RCC patients and 1,130 controls were recruited in this casecontrol study. Genetic scores were calculated for each individual based on the odds ratios and frequencies of risk-associated SNPs. Four SNPs were significantly associated with RCC in Chinese population. Two genetic score models were established, genetic score 1 (rs10054504, rs7023329 and rs718314) and genetic score 2 (rs10054504, rs7023329 and rs1049380). For genetic score 1, the individual likelihood of RCC with low (< 0.8), medium (0.8-1.2) and high (≥ 1.2) genetic score 1 was 15.61%, 22.25% and 33.92% respectively (P-trend=6.88×10-7). For genetic score 2, individual with low (< 0.8), medium (0.8-1.2) and high (≥ 1.2) genetic score 2 would have likelihood of RCC as 14.39%, 24.54% and 36.48%, respectively (P-trend=1.27×10-10). The area under the receiver operating curve (AUC) of genetic score 1 was 0.626, and AUC of genetic score 2 was 0.658. We concluded that genetic score can reveal personal risk and inherited risk of RCC, especially when family history is not available.-
dc.languageeng-
dc.relation.ispartofOncotarget-
dc.subjectChinese-
dc.subjectGenetic score-
dc.subjectRenal cell carcinoma-
dc.subjectSNPs-
dc.titleGenetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.18632/oncotarget.7623-
dc.identifier.pmid27229762-
dc.identifier.pmcidPMC4951315-
dc.identifier.scopuseid_2-s2.0-84975474049-
dc.identifier.volume7-
dc.identifier.issue14-
dc.identifier.spage18631-
dc.identifier.epage18637-
dc.identifier.eissn1949-2553-
dc.identifier.isiWOS:000375699000106-

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