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The Correlation Analysis of Two Common Polymorphisms in STAT6 Gene and the Risk of Asthma: A Meta-Analysis

BACKGROUND: Several studies have reported that the GT dinucleotide repeat length polymorphism and the G2964A polymorphism in signal transducer and activator of transcriptional factor 6 gene are associated with asthma susceptibility, but others have conflicting results. Our meta-analysis aimed to elu...

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Detalles Bibliográficos
Autores principales: Zhu, Li, Zhu, Qingqing, Zhang, Xinlin, Wang, Hongwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3701693/
https://www.ncbi.nlm.nih.gov/pubmed/23861779
http://dx.doi.org/10.1371/journal.pone.0067657
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author Zhu, Li
Zhu, Qingqing
Zhang, Xinlin
Wang, Hongwei
author_facet Zhu, Li
Zhu, Qingqing
Zhang, Xinlin
Wang, Hongwei
author_sort Zhu, Li
collection PubMed
description BACKGROUND: Several studies have reported that the GT dinucleotide repeat length polymorphism and the G2964A polymorphism in signal transducer and activator of transcriptional factor 6 gene are associated with asthma susceptibility, but others have conflicting results. Our meta-analysis aimed to elucidate the emerging paradigms. METHODS: We searched PUBMED, EMBASE, ISI web of knowledge, Chinese National Knowledge Infrastructure, and Wanfang databases. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to evaluate the strength of association. We applied Bonferroni step-down and Benjamini-Hochberg step-up methods to adjust the values for multiple comparisons. RESULTS: A total of 12 individual studies in 11 articles were included in the meta-analysis. For GT repeat polymorphism, the S allele had approximately 45% increased risk of asthma (S vs. L: OR = 1.45, 95% CI = 1.22–1.71, P (UNCORRECTED) <0.001, P(Bon) <0.001, P(FDR) <0.001). Further analysis indicated that GT(13) and GT(14) contributed to asthma risk, whereas GT(15) and GT(16) were protective (GT(13) vs. GT(15): OR = 1.38, 95% CI = 1.16–1.65, P (UNCORRECTED = )0.001, P(Bon = )0.005, P(FDR = )0.002). Similar results were obtained in the subgroup analysis of Asian population. G2964A polymorphism analysis showed that the AA genotype moderately increased the risk of asthma by 47% compared with the GG genotype (OR = 1.47, p = 0.068) in Chinese population, whereas the 2964A allele moderately increased the risk of asthma in Chinese population by 18% (2964A vs. 2964G: OR = 1.18, p = 0.08). However, none of the associations reached statistically significant levels particularly after correction for multiple testing. CONCLUSIONS: This meta-analysis suggests that S allele (GT(13) and GT(14)) of the GT repeat polymorphism confers significant risks to asthma. However, the G2964A polymorphism does not have an association with the susceptibility to asthma.
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spelling pubmed-37016932013-07-16 The Correlation Analysis of Two Common Polymorphisms in STAT6 Gene and the Risk of Asthma: A Meta-Analysis Zhu, Li Zhu, Qingqing Zhang, Xinlin Wang, Hongwei PLoS One Research Article BACKGROUND: Several studies have reported that the GT dinucleotide repeat length polymorphism and the G2964A polymorphism in signal transducer and activator of transcriptional factor 6 gene are associated with asthma susceptibility, but others have conflicting results. Our meta-analysis aimed to elucidate the emerging paradigms. METHODS: We searched PUBMED, EMBASE, ISI web of knowledge, Chinese National Knowledge Infrastructure, and Wanfang databases. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to evaluate the strength of association. We applied Bonferroni step-down and Benjamini-Hochberg step-up methods to adjust the values for multiple comparisons. RESULTS: A total of 12 individual studies in 11 articles were included in the meta-analysis. For GT repeat polymorphism, the S allele had approximately 45% increased risk of asthma (S vs. L: OR = 1.45, 95% CI = 1.22–1.71, P (UNCORRECTED) <0.001, P(Bon) <0.001, P(FDR) <0.001). Further analysis indicated that GT(13) and GT(14) contributed to asthma risk, whereas GT(15) and GT(16) were protective (GT(13) vs. GT(15): OR = 1.38, 95% CI = 1.16–1.65, P (UNCORRECTED = )0.001, P(Bon = )0.005, P(FDR = )0.002). Similar results were obtained in the subgroup analysis of Asian population. G2964A polymorphism analysis showed that the AA genotype moderately increased the risk of asthma by 47% compared with the GG genotype (OR = 1.47, p = 0.068) in Chinese population, whereas the 2964A allele moderately increased the risk of asthma in Chinese population by 18% (2964A vs. 2964G: OR = 1.18, p = 0.08). However, none of the associations reached statistically significant levels particularly after correction for multiple testing. CONCLUSIONS: This meta-analysis suggests that S allele (GT(13) and GT(14)) of the GT repeat polymorphism confers significant risks to asthma. However, the G2964A polymorphism does not have an association with the susceptibility to asthma. Public Library of Science 2013-07-04 /pmc/articles/PMC3701693/ /pubmed/23861779 http://dx.doi.org/10.1371/journal.pone.0067657 Text en © 2013 Zhu et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Zhu, Li
Zhu, Qingqing
Zhang, Xinlin
Wang, Hongwei
The Correlation Analysis of Two Common Polymorphisms in STAT6 Gene and the Risk of Asthma: A Meta-Analysis
title The Correlation Analysis of Two Common Polymorphisms in STAT6 Gene and the Risk of Asthma: A Meta-Analysis
title_full The Correlation Analysis of Two Common Polymorphisms in STAT6 Gene and the Risk of Asthma: A Meta-Analysis
title_fullStr The Correlation Analysis of Two Common Polymorphisms in STAT6 Gene and the Risk of Asthma: A Meta-Analysis
title_full_unstemmed The Correlation Analysis of Two Common Polymorphisms in STAT6 Gene and the Risk of Asthma: A Meta-Analysis
title_short The Correlation Analysis of Two Common Polymorphisms in STAT6 Gene and the Risk of Asthma: A Meta-Analysis
title_sort correlation analysis of two common polymorphisms in stat6 gene and the risk of asthma: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3701693/
https://www.ncbi.nlm.nih.gov/pubmed/23861779
http://dx.doi.org/10.1371/journal.pone.0067657
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