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Quantitative Assessment of the Effect of KCNJ11 Gene Polymorphism on the Risk of Type 2 Diabetes

To clarify the role of potassium inwardly-rectifying-channel, subfamily-J, member 11 (KCNJ11) variation in susceptibility to type 2 diabetes (T2D), we performed a systematic meta-analysis to investigate the association between the KCNJ11 E23K polymorphism (rs5219) and the T2D in different genetic mo...

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Autores principales: Qiu, Ling, Na, Risu, Xu, Rong, Wang, Siyang, Sheng, Hongguang, Wu, Wanling, Qu, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977990/
https://www.ncbi.nlm.nih.gov/pubmed/24710510
http://dx.doi.org/10.1371/journal.pone.0093961
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author Qiu, Ling
Na, Risu
Xu, Rong
Wang, Siyang
Sheng, Hongguang
Wu, Wanling
Qu, Yi
author_facet Qiu, Ling
Na, Risu
Xu, Rong
Wang, Siyang
Sheng, Hongguang
Wu, Wanling
Qu, Yi
author_sort Qiu, Ling
collection PubMed
description To clarify the role of potassium inwardly-rectifying-channel, subfamily-J, member 11 (KCNJ11) variation in susceptibility to type 2 diabetes (T2D), we performed a systematic meta-analysis to investigate the association between the KCNJ11 E23K polymorphism (rs5219) and the T2D in different genetic models. Databases including PubMed, Medline, EMBASE, and ISI Web of Science were searched to identify relevant studies. A total of 48 published studies involving 56,349 T2D cases, 81,800 controls, and 483 family trios were included in this meta-analysis. Overall, the E23K polymorphism was significantly associated with increased T2D risk with per-allele odds ratio (OR) of 1.12 (95% CI: 1.09–1.16; P<10(−5)). The summary OR for T2D was 1.09 (95% CI: 1.03–1.14; P<10(−5)), and 1.26 (95% CI: 1.17–1.35; P<10(−5)), for heterozygous and homozygous, respectively. Similar results were also detected under dominant and recessive genetic models. When stratified by ethnicity, significantly increased risks were found for the polymorphism in Caucasians and East Asians. However, no such associations were detected among Indian and other ethnic populations. Significant associations were also observed in the stratified analyses according to different mean BMI of cases and sample size. Although significant between study heterogeneity was identified, meta-regression analysis suggested that the BMI of controls significantly correlated with the magnitude of the genetic effect. The current meta-analysis demonstrated that a modest but statistically significant effect of the 23K allele of rs5219 polymorphism in susceptibility to T2D. But the contribution of its genetic variants to the epidemic of T2D in Indian and other ethnic populations appears to be relatively low.
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spelling pubmed-39779902014-04-11 Quantitative Assessment of the Effect of KCNJ11 Gene Polymorphism on the Risk of Type 2 Diabetes Qiu, Ling Na, Risu Xu, Rong Wang, Siyang Sheng, Hongguang Wu, Wanling Qu, Yi PLoS One Research Article To clarify the role of potassium inwardly-rectifying-channel, subfamily-J, member 11 (KCNJ11) variation in susceptibility to type 2 diabetes (T2D), we performed a systematic meta-analysis to investigate the association between the KCNJ11 E23K polymorphism (rs5219) and the T2D in different genetic models. Databases including PubMed, Medline, EMBASE, and ISI Web of Science were searched to identify relevant studies. A total of 48 published studies involving 56,349 T2D cases, 81,800 controls, and 483 family trios were included in this meta-analysis. Overall, the E23K polymorphism was significantly associated with increased T2D risk with per-allele odds ratio (OR) of 1.12 (95% CI: 1.09–1.16; P<10(−5)). The summary OR for T2D was 1.09 (95% CI: 1.03–1.14; P<10(−5)), and 1.26 (95% CI: 1.17–1.35; P<10(−5)), for heterozygous and homozygous, respectively. Similar results were also detected under dominant and recessive genetic models. When stratified by ethnicity, significantly increased risks were found for the polymorphism in Caucasians and East Asians. However, no such associations were detected among Indian and other ethnic populations. Significant associations were also observed in the stratified analyses according to different mean BMI of cases and sample size. Although significant between study heterogeneity was identified, meta-regression analysis suggested that the BMI of controls significantly correlated with the magnitude of the genetic effect. The current meta-analysis demonstrated that a modest but statistically significant effect of the 23K allele of rs5219 polymorphism in susceptibility to T2D. But the contribution of its genetic variants to the epidemic of T2D in Indian and other ethnic populations appears to be relatively low. Public Library of Science 2014-04-07 /pmc/articles/PMC3977990/ /pubmed/24710510 http://dx.doi.org/10.1371/journal.pone.0093961 Text en © 2014 Qiu 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
Qiu, Ling
Na, Risu
Xu, Rong
Wang, Siyang
Sheng, Hongguang
Wu, Wanling
Qu, Yi
Quantitative Assessment of the Effect of KCNJ11 Gene Polymorphism on the Risk of Type 2 Diabetes
title Quantitative Assessment of the Effect of KCNJ11 Gene Polymorphism on the Risk of Type 2 Diabetes
title_full Quantitative Assessment of the Effect of KCNJ11 Gene Polymorphism on the Risk of Type 2 Diabetes
title_fullStr Quantitative Assessment of the Effect of KCNJ11 Gene Polymorphism on the Risk of Type 2 Diabetes
title_full_unstemmed Quantitative Assessment of the Effect of KCNJ11 Gene Polymorphism on the Risk of Type 2 Diabetes
title_short Quantitative Assessment of the Effect of KCNJ11 Gene Polymorphism on the Risk of Type 2 Diabetes
title_sort quantitative assessment of the effect of kcnj11 gene polymorphism on the risk of type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977990/
https://www.ncbi.nlm.nih.gov/pubmed/24710510
http://dx.doi.org/10.1371/journal.pone.0093961
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