Association between the Matrix Metalloproteinase-9 rs3918242 Polymorphism and Ischemic Stroke Susceptibility: A Meta-Analysis.

Abstract

BACKGROUND In recent years, dozens of case-control studies showed that matrix metalloproteinase (MMP)-9 rs3918242 variants were associated with ischemic stroke (IS) susceptibility. However, the conclusions of case-control studies that evaluated the relationship between MMP-9 rs3918242 variants and the risk of IS were still equivocal. Herein, we conducted a comprehensive meta-analysis to investigate the association between MMP-9 rs3918242 variants and the risk of IS. METHODS We searched 5 databases (PubMed, EMBASE, Google Scholar, Web of Science, and Chinese Biomedical Literature Database) to identify the eligible studies up to October of 2016. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to evaluate the association of MMP-9 rs3918242 variants with IS susceptibility under the allelic model (T versus C) and the dominant model (TT + CT versus CC). RESULTS A total of 14 studies with 3233 cases and 3123 controls were included in this meta-analysis. Our meta-analysis indicated that MMP-9 rs3918242 variants were associated with significantly increased risk of IS in overall populations (T versus C: OR = 1.43, 95% CI = 1.20-1.71, P < .001; TT + CT versus CC: OR = 1.39, 95% CI = 1.16-1.67, P < .001). Subgroup analysis based on ethnicity (Chinese and Caucasian) suggested that MMP-9 rs3918242 variants contributed to increase the risk of IS in Chinese population; However, no association was detected between MMP-9 rs3918242 variants and the risk of IS in Caucasian population. CONCLUSION Therefore, our meta-analysis suggested that MMP-9 rs3918242 variants (T allele, TT and CT genotypes) contributed to significantly increase the risk of IS in the Chinese population.

DOI: 10.1016/j.jstrokecerebrovasdis.2016.12.036

Cite this paper

@article{He2017AssociationBT, title={Association between the Matrix Metalloproteinase-9 rs3918242 Polymorphism and Ischemic Stroke Susceptibility: A Meta-Analysis.}, author={Tao He and Jie Wang and Xiao-Li Wang and Wen-shuai Deng and Peng Sun}, journal={Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association}, year={2017}, volume={26 5}, pages={1136-1143} }