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The Association between KCNQ1 Gene Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis
BACKGROUND: KCNQ1 (potassium voltage-gated channel KQT-like sub-family, member 1) encodes a pore-forming subunit of a voltage-gated K(+) channel (KvLQT1) that plays a key role for the repolarization of the cardiac action potential as well as water and salt transport in epithelial tissues. Recently,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487731/ https://www.ncbi.nlm.nih.gov/pubmed/23133642 http://dx.doi.org/10.1371/journal.pone.0048578 |
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author | Sun, Qiman Song, Kang Shen, Xizhong Cai, Yu |
author_facet | Sun, Qiman Song, Kang Shen, Xizhong Cai, Yu |
author_sort | Sun, Qiman |
collection | PubMed |
description | BACKGROUND: KCNQ1 (potassium voltage-gated channel KQT-like sub-family, member 1) encodes a pore-forming subunit of a voltage-gated K(+) channel (KvLQT1) that plays a key role for the repolarization of the cardiac action potential as well as water and salt transport in epithelial tissues. Recently, genome-wide association studies have identified KCNQ1 as a type 2 diabetes (T2D) susceptibility gene in populations of Asian descent. After that, a number of studies reported that the rs2237892 and rs2237895 polymorphism in KCNQ1 has been implicated in T2D risk. However, studies on the association between these polymorphism and T2D remain conflicting. To investigate this inconsistency, we performed this meta-analysis. METHODS: Databases including Pubmed, EMBASE, Web of Science and China National Knowledge Infrastructure (CNKI) were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. Potential sources of heterogeneity were also assessed by subgroup analysis and meta-regression. RESULTS: A total of 25 articles involving 70,577 T2D cases and 99,068 controls were included. Overall, the summary odds ratio of C allele for T2D was 1.32 (95% CI 1.26–1.38; P<10−5) and 1.24 (95% CI: 1.20–1.29; P<10−5) for KCNQ1 rs2237892 and rs2237895 polymorphisms, respectively. Significant results were also observed using co-dominant, dominant and recessive genetic models. After stratifying by ethnicity, sample size, and diagnostic criteria, significant associations were also obtained. CONCLUSIONS: This meta-analysis suggests that the rs2237892 and rs2237895 polymorphisms in KCNQ1 are associated with elevated type 2 diabetes susceptibility. |
format | Online Article Text |
id | pubmed-3487731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34877312012-11-06 The Association between KCNQ1 Gene Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis Sun, Qiman Song, Kang Shen, Xizhong Cai, Yu PLoS One Research Article BACKGROUND: KCNQ1 (potassium voltage-gated channel KQT-like sub-family, member 1) encodes a pore-forming subunit of a voltage-gated K(+) channel (KvLQT1) that plays a key role for the repolarization of the cardiac action potential as well as water and salt transport in epithelial tissues. Recently, genome-wide association studies have identified KCNQ1 as a type 2 diabetes (T2D) susceptibility gene in populations of Asian descent. After that, a number of studies reported that the rs2237892 and rs2237895 polymorphism in KCNQ1 has been implicated in T2D risk. However, studies on the association between these polymorphism and T2D remain conflicting. To investigate this inconsistency, we performed this meta-analysis. METHODS: Databases including Pubmed, EMBASE, Web of Science and China National Knowledge Infrastructure (CNKI) were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. Potential sources of heterogeneity were also assessed by subgroup analysis and meta-regression. RESULTS: A total of 25 articles involving 70,577 T2D cases and 99,068 controls were included. Overall, the summary odds ratio of C allele for T2D was 1.32 (95% CI 1.26–1.38; P<10−5) and 1.24 (95% CI: 1.20–1.29; P<10−5) for KCNQ1 rs2237892 and rs2237895 polymorphisms, respectively. Significant results were also observed using co-dominant, dominant and recessive genetic models. After stratifying by ethnicity, sample size, and diagnostic criteria, significant associations were also obtained. CONCLUSIONS: This meta-analysis suggests that the rs2237892 and rs2237895 polymorphisms in KCNQ1 are associated with elevated type 2 diabetes susceptibility. Public Library of Science 2012-11-02 /pmc/articles/PMC3487731/ /pubmed/23133642 http://dx.doi.org/10.1371/journal.pone.0048578 Text en © 2012 Sun 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 Sun, Qiman Song, Kang Shen, Xizhong Cai, Yu The Association between KCNQ1 Gene Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis |
title | The Association between KCNQ1 Gene Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis |
title_full | The Association between KCNQ1 Gene Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis |
title_fullStr | The Association between KCNQ1 Gene Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis |
title_full_unstemmed | The Association between KCNQ1 Gene Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis |
title_short | The Association between KCNQ1 Gene Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis |
title_sort | association between kcnq1 gene polymorphism and type 2 diabetes risk: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487731/ https://www.ncbi.nlm.nih.gov/pubmed/23133642 http://dx.doi.org/10.1371/journal.pone.0048578 |
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