Cargando…

Association of rs6983267 Polymorphism and Thyroid Cancer Susceptibility: A Systematic Review and Meta-Analysis

BACKGROUND: Recent genome-wide association studies have identified rs6983267 polymorphism as a key locus in the 8q24 region associated with multisite cancers. However, the information on its association with thyroid cancer is inconclusive. The aim of this study was to determine whether this locus is...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jingdong, Wang, Xiaofei, Dong, Jiahong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917307/
https://www.ncbi.nlm.nih.gov/pubmed/27251952
http://dx.doi.org/10.12659/MSM.896507
_version_ 1782438931326828544
author Li, Jingdong
Wang, Xiaofei
Dong, Jiahong
author_facet Li, Jingdong
Wang, Xiaofei
Dong, Jiahong
author_sort Li, Jingdong
collection PubMed
description BACKGROUND: Recent genome-wide association studies have identified rs6983267 polymorphism as a key locus in the 8q24 region associated with multisite cancers. However, the information on its association with thyroid cancer is inconclusive. The aim of this study was to determine whether this locus is a risk factor for susceptibility to thyroid cancer by conducting a meta-analysis. MATERIAL/METHODS: Relevant studies were identified by searching PubMed and Embase databases. The pooled odds ratio (OR) and corresponding 95% confidence interval (95% CI) were calculated. RESULTS: A total of 4 studies including 2825 cases and 9684 controls were enrolled to this meta-analysis. The pooled data showed the G allele of the rs6983267 polymorphism is a risk factor for susceptibility to thyroid cancer (OR=1.08, 95%CI: 1.02–1.16, P=0.01). Significant associations were also found in homozygote comparison (GG vs. TT: OR=1.17, 95%CI: 1.03–1.33, P=0.02) and dominant model (GG+GT vs. TT: OR=1.13, 95%CI: 1.01–1.26, P=0.03). Borderline significant associations in similar directions were found in the recessive model (GG vs. GT+TT: OR=1.10, 95%CI: 0.99–1.22, P=0.07) and heterozygote comparison (GT vs. TT: OR=1.10, 95%CI: 0.99–1.24, P=0.09). CONCLUSIONS: Our meta-analysis shows that the rs6983267 G>T polymorphism might be associated with higher risk of thyroid cancer. Further research with larger sample sizes and full investigation of confounding risk factors is needed to confirm or revise our conclusions.
format Online
Article
Text
id pubmed-4917307
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher International Scientific Literature, Inc.
record_format MEDLINE/PubMed
spelling pubmed-49173072016-06-30 Association of rs6983267 Polymorphism and Thyroid Cancer Susceptibility: A Systematic Review and Meta-Analysis Li, Jingdong Wang, Xiaofei Dong, Jiahong Med Sci Monit Meta-Analysis BACKGROUND: Recent genome-wide association studies have identified rs6983267 polymorphism as a key locus in the 8q24 region associated with multisite cancers. However, the information on its association with thyroid cancer is inconclusive. The aim of this study was to determine whether this locus is a risk factor for susceptibility to thyroid cancer by conducting a meta-analysis. MATERIAL/METHODS: Relevant studies were identified by searching PubMed and Embase databases. The pooled odds ratio (OR) and corresponding 95% confidence interval (95% CI) were calculated. RESULTS: A total of 4 studies including 2825 cases and 9684 controls were enrolled to this meta-analysis. The pooled data showed the G allele of the rs6983267 polymorphism is a risk factor for susceptibility to thyroid cancer (OR=1.08, 95%CI: 1.02–1.16, P=0.01). Significant associations were also found in homozygote comparison (GG vs. TT: OR=1.17, 95%CI: 1.03–1.33, P=0.02) and dominant model (GG+GT vs. TT: OR=1.13, 95%CI: 1.01–1.26, P=0.03). Borderline significant associations in similar directions were found in the recessive model (GG vs. GT+TT: OR=1.10, 95%CI: 0.99–1.22, P=0.07) and heterozygote comparison (GT vs. TT: OR=1.10, 95%CI: 0.99–1.24, P=0.09). CONCLUSIONS: Our meta-analysis shows that the rs6983267 G>T polymorphism might be associated with higher risk of thyroid cancer. Further research with larger sample sizes and full investigation of confounding risk factors is needed to confirm or revise our conclusions. International Scientific Literature, Inc. 2016-06-02 /pmc/articles/PMC4917307/ /pubmed/27251952 http://dx.doi.org/10.12659/MSM.896507 Text en © Med Sci Monit, 2016 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
spellingShingle Meta-Analysis
Li, Jingdong
Wang, Xiaofei
Dong, Jiahong
Association of rs6983267 Polymorphism and Thyroid Cancer Susceptibility: A Systematic Review and Meta-Analysis
title Association of rs6983267 Polymorphism and Thyroid Cancer Susceptibility: A Systematic Review and Meta-Analysis
title_full Association of rs6983267 Polymorphism and Thyroid Cancer Susceptibility: A Systematic Review and Meta-Analysis
title_fullStr Association of rs6983267 Polymorphism and Thyroid Cancer Susceptibility: A Systematic Review and Meta-Analysis
title_full_unstemmed Association of rs6983267 Polymorphism and Thyroid Cancer Susceptibility: A Systematic Review and Meta-Analysis
title_short Association of rs6983267 Polymorphism and Thyroid Cancer Susceptibility: A Systematic Review and Meta-Analysis
title_sort association of rs6983267 polymorphism and thyroid cancer susceptibility: a systematic review and meta-analysis
topic Meta-Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917307/
https://www.ncbi.nlm.nih.gov/pubmed/27251952
http://dx.doi.org/10.12659/MSM.896507
work_keys_str_mv AT lijingdong associationofrs6983267polymorphismandthyroidcancersusceptibilityasystematicreviewandmetaanalysis
AT wangxiaofei associationofrs6983267polymorphismandthyroidcancersusceptibilityasystematicreviewandmetaanalysis
AT dongjiahong associationofrs6983267polymorphismandthyroidcancersusceptibilityasystematicreviewandmetaanalysis