Association between C807T(C/T) polymorphism of platelet glycoprotein gene and sensitivity to ischemic stroke: a meta-analysis

Abstract

ABSTRACT. Ischemic stroke can lead to loss of neurologic functions. It occurs due to obstruction in blood supply to the brain. It has been proposed that C807T(C/T) polymorphism within the platelet glycoprotein gene may be associated with density and function of glycoprotein Ia/IIa receptors and contributes to the pathogenesis of thrombotic disease. We assessed the association between C807T(C/T) and risk of ischemic stroke. Databases such as PubMed, Medline, Springer, Elsevier Science Direct, Cochrane Library, Google scholar, Wanfang Data (Chinese), and Chinese National Knowledge Infrastructure (CNKI, Chinese) were used to search for relevant studies. We found 16 eligible studies, which totaled to 4897 (case group 2340; control group 2557) participants. Overall, our results showed significant associations between C807T(C/T) polymorphism and risk of ischemic stroke based on T-allele comparisons (T vs C, pooled OR = 0.78, 95%CI = 0.68-0.90, P < 0.01), TT vs CC comparisons (pooled OR = 0.58, 95%CI = 0.42-0.81, P < 0.01), recessive models (TT vs TC + CC, pooled OR = 0.72, 95%CI = 0.59-0.87, P < 0.01) and dominant models (TT + TC vs CC, pooled OR = 0.70, 95%CI = 0.54-0.92, P < 0.05). There was no association in TC vs CC comparisons (pooled OR = 0.81, 95%CI = 0.63-1.04, P > 0.05). Subgroup analyses stratified according to Hardy-Weinberg equilibrium, sample size, and ethnicity also demonstrated significant associations between the two variables. Therefore, C807T(C/T) polymorphism in the platelet glycoprotein gene may be associated with susceptibility to ischemic stroke, and the T allele at this locus may decrease risk to ischemic stroke.

Molecular genetic studies in Saudi population; identified variants from GWAS and meta-analysis in stroke

“…Meta-analysis studies are defined as a statistical tool, merging the case-control study results of different ethnic studies on the similar topic, and it has become the popular method for resolving discrepancies in genetic association studies (Lee, 2015). Many meta-analysis studies have been carried out in stroke and concluded as positive (He et al, 2017, Luo et al, 2017, Xiuju et al, 2016, Yanamala et al, 2017, Zhong et al, 2017), negative (Xia et al, 2017, Yang et al, 2017) and nominal associations (Li et al, 2017).…”