ArticleNeuropsychiatric disease and treatment2017
Association of interleukin-33 gene polymorphisms with susceptibility to late onset Alzheimer's disease: a meta-analysis.
Article in Neuropsychiatric disease and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 9 citations in OpenAlex.
- Association of polymorphisms of antioxidants (GSTM1/T1) and inflammation-related genes (CXCL8, IL-33, and IL-6) with chronic obstructive pulmonary disease (COPD).Journal of applied genetics · 2025Article
- Breast cancer in schizophrenia could be interleukin-33-mediated.World journal of psychiatry · 2021Review
- Article
- Higher interleukin-33 levels in aggressive periodontitis cases.Journal of Indian Society of PeriodontologyArticle
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Authors and funding
5 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
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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