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Association of interleukin-33 gene polymorphisms with susceptibility to late onset Alzheimer’s disease: a meta-analysis

The association between interleukin-33 (IL-33) gene polymorphisms and late onset Alzheimer’s disease (LOAD) remains controversial in previous studies. Thus, a meta-analysis was conducted to assess the association between the IL-33 polymorphisms (rs11792633 and rs7044343) and LOAD susceptibility. Cru...

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Autores principales: Zhong, Xin, Liu, Ming-Yan, He, Miao, Du, Ke, Wei, Min-Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587195/
https://www.ncbi.nlm.nih.gov/pubmed/28919759
http://dx.doi.org/10.2147/NDT.S138073
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author Zhong, Xin
Liu, Ming-Yan
He, Miao
Du, Ke
Wei, Min-Jie
author_facet Zhong, Xin
Liu, Ming-Yan
He, Miao
Du, Ke
Wei, Min-Jie
author_sort Zhong, Xin
collection PubMed
description The association between interleukin-33 (IL-33) gene polymorphisms and late onset Alzheimer’s disease (LOAD) remains controversial in previous studies. Thus, a meta-analysis was conducted to assess the association between the IL-33 polymorphisms (rs11792633 and rs7044343) and LOAD susceptibility. Crude odds ratio (OR) and 95% confidence interval (CI) were used to investigate the relationship strength. Sensitivity analysis was performed, and publication bias was estimated by the Begg’s and Egger’s tests. Overall, six independent studies involving 2,589 patients and 8,414 control samples met our inclusion criteria and were included in this meta-analysis. The results showed that IL-33 rs11792633 polymorphism had statistically significant correlation with a decreased risk of LOAD in heterozygous comparison model (OR =0.64, 95% CI =0.48–0.83), homozygote comparison model (OR =0.83, 95% CI =0.74–0.93), dominant model (OR =0.78, 95% CI =0.67–0.91), recessive model (OR =0.70, 95% CI =0.59–0.84), and allelic model (OR =0.79, 95% CI =0.69–0.91), which were also validated by stratified subgroup analysis. Additionally, there was an apparent association between the IL-33 rs7044343 variant and LOAD risk under four genetic models for overall population (heterozygous comparison model: OR =0.75, 95% CI =0.63–0.89; dominant model: OR =0.83, 95% CI =0.70–0.98; recessive model: OR =0.80, 95% CI =0.68–0.94; allelic model: OR =0.86, 95% CI =0.79–0.94) as well as Caucasian subgroup. In summary, our meta-analysis implicated that IL-33 gene polymorphisms rs11792633 and rs7044343 were significantly associated with the susceptibility of LOAD.
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spelling pubmed-55871952017-09-15 Association of interleukin-33 gene polymorphisms with susceptibility to late onset Alzheimer’s disease: a meta-analysis Zhong, Xin Liu, Ming-Yan He, Miao Du, Ke Wei, Min-Jie Neuropsychiatr Dis Treat Original Research The association between interleukin-33 (IL-33) gene polymorphisms and late onset Alzheimer’s disease (LOAD) remains controversial in previous studies. Thus, a meta-analysis was conducted to assess the association between the IL-33 polymorphisms (rs11792633 and rs7044343) and LOAD susceptibility. Crude odds ratio (OR) and 95% confidence interval (CI) were used to investigate the relationship strength. Sensitivity analysis was performed, and publication bias was estimated by the Begg’s and Egger’s tests. Overall, six independent studies involving 2,589 patients and 8,414 control samples met our inclusion criteria and were included in this meta-analysis. The results showed that IL-33 rs11792633 polymorphism had statistically significant correlation with a decreased risk of LOAD in heterozygous comparison model (OR =0.64, 95% CI =0.48–0.83), homozygote comparison model (OR =0.83, 95% CI =0.74–0.93), dominant model (OR =0.78, 95% CI =0.67–0.91), recessive model (OR =0.70, 95% CI =0.59–0.84), and allelic model (OR =0.79, 95% CI =0.69–0.91), which were also validated by stratified subgroup analysis. Additionally, there was an apparent association between the IL-33 rs7044343 variant and LOAD risk under four genetic models for overall population (heterozygous comparison model: OR =0.75, 95% CI =0.63–0.89; dominant model: OR =0.83, 95% CI =0.70–0.98; recessive model: OR =0.80, 95% CI =0.68–0.94; allelic model: OR =0.86, 95% CI =0.79–0.94) as well as Caucasian subgroup. In summary, our meta-analysis implicated that IL-33 gene polymorphisms rs11792633 and rs7044343 were significantly associated with the susceptibility of LOAD. Dove Medical Press 2017-08-30 /pmc/articles/PMC5587195/ /pubmed/28919759 http://dx.doi.org/10.2147/NDT.S138073 Text en © 2017 Zhong et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Zhong, Xin
Liu, Ming-Yan
He, Miao
Du, Ke
Wei, Min-Jie
Association of interleukin-33 gene polymorphisms with susceptibility to late onset Alzheimer’s disease: a meta-analysis
title Association of interleukin-33 gene polymorphisms with susceptibility to late onset Alzheimer’s disease: a meta-analysis
title_full Association of interleukin-33 gene polymorphisms with susceptibility to late onset Alzheimer’s disease: a meta-analysis
title_fullStr Association of interleukin-33 gene polymorphisms with susceptibility to late onset Alzheimer’s disease: a meta-analysis
title_full_unstemmed Association of interleukin-33 gene polymorphisms with susceptibility to late onset Alzheimer’s disease: a meta-analysis
title_short Association of interleukin-33 gene polymorphisms with susceptibility to late onset Alzheimer’s disease: a meta-analysis
title_sort association of interleukin-33 gene polymorphisms with susceptibility to late onset alzheimer’s disease: a meta-analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587195/
https://www.ncbi.nlm.nih.gov/pubmed/28919759
http://dx.doi.org/10.2147/NDT.S138073
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