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

The objective of this study was to evaluate whether renal cell carcinoma (RCC) risk-associated 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 case-control study. Genetic scores were cal...

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Autores principales: Wu, Yishuo, Zhang, Ning, Li, Kaiwen, Chen, Haitao, Lin, Xiaolin, Yu, Yang, Gou, Yuancheng, Hou, Jiangang, Jiang, Deke, Na, Rong, Wang, Xiang, Ding, Qiang, Xu, Jianfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951315/
https://www.ncbi.nlm.nih.gov/pubmed/27229762
http://dx.doi.org/10.18632/oncotarget.7623
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author Wu, Yishuo
Zhang, Ning
Li, Kaiwen
Chen, Haitao
Lin, Xiaolin
Yu, Yang
Gou, Yuancheng
Hou, Jiangang
Jiang, Deke
Na, Rong
Wang, Xiang
Ding, Qiang
Xu, Jianfeng
author_facet Wu, Yishuo
Zhang, Ning
Li, Kaiwen
Chen, Haitao
Lin, Xiaolin
Yu, Yang
Gou, Yuancheng
Hou, Jiangang
Jiang, Deke
Na, Rong
Wang, Xiang
Ding, Qiang
Xu, Jianfeng
author_sort Wu, Yishuo
collection PubMed
description The objective of this study was to evaluate whether renal cell carcinoma (RCC) risk-associated 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 case-control 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.
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spelling pubmed-49513152016-07-21 Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma Wu, Yishuo Zhang, Ning Li, Kaiwen Chen, Haitao Lin, Xiaolin Yu, Yang Gou, Yuancheng Hou, Jiangang Jiang, Deke Na, Rong Wang, Xiang Ding, Qiang Xu, Jianfeng Oncotarget Research Paper The objective of this study was to evaluate whether renal cell carcinoma (RCC) risk-associated 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 case-control 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. Impact Journals LLC 2016-02-23 /pmc/articles/PMC4951315/ /pubmed/27229762 http://dx.doi.org/10.18632/oncotarget.7623 Text en Copyright: © 2016 Wu et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Wu, Yishuo
Zhang, Ning
Li, Kaiwen
Chen, Haitao
Lin, Xiaolin
Yu, Yang
Gou, Yuancheng
Hou, Jiangang
Jiang, Deke
Na, Rong
Wang, Xiang
Ding, Qiang
Xu, Jianfeng
Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma
title Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma
title_full Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma
title_fullStr Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma
title_full_unstemmed Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma
title_short Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma
title_sort genetic scores based on risk-associated single nucleotide polymorphisms (snps) can reveal inherited risk of renal cell carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951315/
https://www.ncbi.nlm.nih.gov/pubmed/27229762
http://dx.doi.org/10.18632/oncotarget.7623
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