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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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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. |
format | Online Article Text |
id | pubmed-4951315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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