Genetic polymorphism of ITGA2 C807T can increase the risk of ischemic stroke.

Abstract

BACKGROUND:

The role of genetic variants in the pathogenesis of stroke has not been fully elucidated. Several studies have been examined the association of the Integrin alpha2 (ITGA2) gene-C807T (rs1126643) polymorphism with ischemic stroke susceptibility. However, the results of these studies are inconsistent. In order to explore this association more deeply, we performed a meta-analysis.

METHODS:

We collected case-control studies concerning the relationship between the C807T polymorphism and ischemic stroke, and odd ratios (OR) with corresponding 95% confidence intervals (CI) were used to describe the relationships. Inconsistency index (I(2)) and Cochran's Q statistic were used to check heterogeneity. Publication bias was tested by funnel plots and Egger's test.

RESULTS:

Fifteen studies with 2242 cases and 2408 controls were included. Our meta-analysis results indicated an association between the C807T polymorphism and the risk of ischemic stroke in the overall population, Asians and the subgroup of hospital-based people. However, statistically association was not observed for Caucasians and non-hospitalized individuals.

CONCLUSIONS:

The ITGA2 gene C807T polymorphism may be a susceptible predictor of the risk of ischemic stroke. More data are needed to elucidate the relationship further.

• Authors: Guangliang Wu, Yujing Xi, Li Yao, Li Su, Yan Yan, Minzhi Li, Lian Gu
• Journal: The International journal of neuroscience (Int J Neurosci) Vol. 124 Issue 11 Pg. 841-51 (Nov 2014) ISSN: 1563-5279 [Electronic] England
• PMID: 24397542 (Publication Type: Journal Article, Meta-Analysis)

Chemical References

• Integrin alpha2

Topics

• Asian People (genetics)
• Brain Ischemia (complications, genetics)
• Case-Control Studies
• Genetic Association Studies
• Genetic Predisposition to Disease (genetics)
• Hospitalization (statistics & numerical data)
• Humans
• Integrin alpha2 (genetics)
• Polymorphism, Single Nucleotide (genetics)
• Publication Bias (statistics & numerical data)
• Stroke (complications, genetics)
• White People (genetics)