Literature DB >> 25917615

The association between three promoter polymorphisms of IL-1 and stroke: a meta-analysis.

Liwei Zou1, Hong Zhao2, Xijun Gong3, Anhong Jiang4, Song Guan4, Longsheng Wang5, Suisheng Zheng6.   

Abstract

AIM: The association between Interleukin-1 (IL-1) gene polymorphism and stroke remains controversial. The present study was designed to clarify this relationship through a pooled analysis of the numerous epidemiological studies focusing on this association.
METHODS: Published data addressing the association between polymorphism of the IL-1 gene and stroke were selected from electronic databases. A total of 21 studies from 19 publications including 5280 stroke patients and 5699 controls were included in this meta-analysis which detect whether IL-1α-889C/T, IL-1β-511C/T and IL-1 RN polymorphism were associated with stroke susceptibility. RESULT: The combined results of overall analysis revealed that there was a significant association between IL-1α-889C/T polymorphism and stroke (allele model: OR = 1.39, 95% CI = 1.14-1.68, P < 0.001; recessive model: OR = 1.56, 95% CI = 1.27-1.90, P < 0.001; dominant model: OR = 1.45, 95% CI = 1.13-1.87, P = 0.004; additive model: OR = 1.70, 95% CI = 1.37-2.10, P < 0.001). On a subgroup analysis by ethnicity of study population, significant association was found in Asians (allele model: OR = 1.25 95% CI = 1.12-1.39, P < 0.001; recessive model: OR = 1.36, 95% CI = 1.09-1.69, P = 0.007; dominant model: OR = 1.29, 95% CI = 1.12-1.48, P < 0.001; additive model: OR = 1.42, 95% CI = 1.13-1.80, P = 0.003). There are no associations of IL-1β-511C/T and IL-RN polymorphisms on stroke risk were identified.
CONCLUSION: In conclusion, our results suggested that IL-1α-889C/T polymorphism is associated with stroke risk, especially in Asians. However, no associations of IL-1β-511C/T and IL-RN polymorphisms on stroke risk in overall analysis or subgroup analysis.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  IL-1; Meta-analysis; Polymorphism; Stroke

Mesh:

Substances:

Year:  2015        PMID: 25917615     DOI: 10.1016/j.gene.2015.04.054

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


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