Literature DB >> 28362983

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

C Luo1, L H Fan2, H Zhang2, J Zhao2, L Li2, L Zhang2, H X Zhang2, M M Ma2.   

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.

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Year:  2017        PMID: 28362983     DOI: 10.4238/gmr16019416

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  1 in total

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

Authors:  Khalid Khalaf Alharbi; Imran Ali Khan; Mohammad Abdullah Alotaibi; Abdullah Saud Aloyaid; Haifa Abdulaziz Al-Basheer; Naelah Abdullah Alghamdi; Raid Saleem Al-Baradie; A M Al-Sulaiman
Journal:  Saudi J Biol Sci       Date:  2017-08-24       Impact factor: 4.219

  1 in total

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