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The TERT rs2736100 Polymorphism and Cancer Risk: A Meta-analysis Based on 25 Case-Control Studies
BACKGROUND: The association between the TERT rs2736100 single nucleotide polymorphism (SNP) and cancer risk has been studied by many researchers, but the results remain inconclusive. To further explore this association, we performed a meta-analysis. METHODS: A computerized search of PubMed and Embas...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329415/ https://www.ncbi.nlm.nih.gov/pubmed/22221621 http://dx.doi.org/10.1186/1471-2407-12-7 |
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author | Zou, Peng Gu, Aihua Ji, Guixiang Zhao, Lin Zhao, Peng Lu, Ailin |
author_facet | Zou, Peng Gu, Aihua Ji, Guixiang Zhao, Lin Zhao, Peng Lu, Ailin |
author_sort | Zou, Peng |
collection | PubMed |
description | BACKGROUND: The association between the TERT rs2736100 single nucleotide polymorphism (SNP) and cancer risk has been studied by many researchers, but the results remain inconclusive. To further explore this association, we performed a meta-analysis. METHODS: A computerized search of PubMed and Embase database for publications on the TERT rs2736100 polymorphism and cancer risk was performed and the genotype data were analyzed in a meta-analysis. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated to assess the association. Sensitivity analysis, test of heterogeneity, cumulative meta-analysis and assessment of bias were performed in our meta-analysis. RESULTS: A significant association between the TERT rs2736100 polymorphism and cancer susceptibility was revealed by the results of the meta-analysis of the 25 case-control studies (GG versus TT: OR = 1.72, 95% CI: 1.58, 1.88; GT versus TT: OR = 1.38, 95% CI: 1.29, 1.47; dominant model-TG + GG versus TT: OR = 1.47, 95% CI: 1.37, 1.58; recessive model-GG versus TT + TG: OR = 1.37, 95% CI 1.31, 1.43; additive model-2GG + TG versus 2TT + TG: OR = 1.30, 95% CI: 1.25, 1.36). Moreover, increased cancer risk in all genetic models was found after stratification of the SNP data by cancer type, ethnicity and source of controls. CONCLUSIONS: In all genetic models, the association between the TERT rs2736100 polymorphism and cancer risk was significant. This meta-analysis suggests that the TERT rs2736100 polymorphism may be a risk factor for cancer. Further functional studies between this polymorphism and cancer risk are warranted. |
format | Online Article Text |
id | pubmed-3329415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33294152012-04-19 The TERT rs2736100 Polymorphism and Cancer Risk: A Meta-analysis Based on 25 Case-Control Studies Zou, Peng Gu, Aihua Ji, Guixiang Zhao, Lin Zhao, Peng Lu, Ailin BMC Cancer Research Article BACKGROUND: The association between the TERT rs2736100 single nucleotide polymorphism (SNP) and cancer risk has been studied by many researchers, but the results remain inconclusive. To further explore this association, we performed a meta-analysis. METHODS: A computerized search of PubMed and Embase database for publications on the TERT rs2736100 polymorphism and cancer risk was performed and the genotype data were analyzed in a meta-analysis. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated to assess the association. Sensitivity analysis, test of heterogeneity, cumulative meta-analysis and assessment of bias were performed in our meta-analysis. RESULTS: A significant association between the TERT rs2736100 polymorphism and cancer susceptibility was revealed by the results of the meta-analysis of the 25 case-control studies (GG versus TT: OR = 1.72, 95% CI: 1.58, 1.88; GT versus TT: OR = 1.38, 95% CI: 1.29, 1.47; dominant model-TG + GG versus TT: OR = 1.47, 95% CI: 1.37, 1.58; recessive model-GG versus TT + TG: OR = 1.37, 95% CI 1.31, 1.43; additive model-2GG + TG versus 2TT + TG: OR = 1.30, 95% CI: 1.25, 1.36). Moreover, increased cancer risk in all genetic models was found after stratification of the SNP data by cancer type, ethnicity and source of controls. CONCLUSIONS: In all genetic models, the association between the TERT rs2736100 polymorphism and cancer risk was significant. This meta-analysis suggests that the TERT rs2736100 polymorphism may be a risk factor for cancer. Further functional studies between this polymorphism and cancer risk are warranted. BioMed Central 2012-01-05 /pmc/articles/PMC3329415/ /pubmed/22221621 http://dx.doi.org/10.1186/1471-2407-12-7 Text en Copyright ©2011 Zou et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zou, Peng Gu, Aihua Ji, Guixiang Zhao, Lin Zhao, Peng Lu, Ailin The TERT rs2736100 Polymorphism and Cancer Risk: A Meta-analysis Based on 25 Case-Control Studies |
title | The TERT rs2736100 Polymorphism and Cancer Risk: A Meta-analysis Based on 25 Case-Control Studies |
title_full | The TERT rs2736100 Polymorphism and Cancer Risk: A Meta-analysis Based on 25 Case-Control Studies |
title_fullStr | The TERT rs2736100 Polymorphism and Cancer Risk: A Meta-analysis Based on 25 Case-Control Studies |
title_full_unstemmed | The TERT rs2736100 Polymorphism and Cancer Risk: A Meta-analysis Based on 25 Case-Control Studies |
title_short | The TERT rs2736100 Polymorphism and Cancer Risk: A Meta-analysis Based on 25 Case-Control Studies |
title_sort | tert rs2736100 polymorphism and cancer risk: a meta-analysis based on 25 case-control studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329415/ https://www.ncbi.nlm.nih.gov/pubmed/22221621 http://dx.doi.org/10.1186/1471-2407-12-7 |
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