Association Between Cd247 Gene Rs2056626 Polymorphism and the Risk of Systemic Sclerosis: Evidence From a Systematic Review and Bayesian Hierarchical Meta-Analysis Publisher



Vanaki N¹ ; Kavosi H¹ ; Aslani S¹ ; Mostafaei S² ; Riahi P³ ; Gharibdoost F¹ ; Mahmoudi M¹ Show Affiliations
Source: Meta Gene Published:2019

Abstract

Background: Systemic sclerosis (SSc) is an autoimmune fibrotic disease, in which the genetics has been implicated in its etiopathogenesis. The rs2056626 polymorphisms in CD247 gene, which encodes the T cell receptor zeta subunit, has been identified as one of the susceptibility loci for SSc. A number of studies have addressed to this association; nonetheless, inconsistent results confer the necessity to conduct meta-analysis in order to achieve a more precise comprehension of the subject. Methods: We searched PubMed and Scopus databases to retrieve relevant studies up to November 2018. The extracted data were statistically analyzed using hierarchical Bayesian and traditional meta-analysis methods and the association strength was estimated by pooled odds ratios (ORs) or log (OR) with 95% confidence/credible interval, respectively. Results: Four studies containing 2205 cases and 2686 healthy controls met our inclusion criteria. Our pooled classical meta-analysis revealed no significant effect of rs2056626 on SSc risk under allelic (OR = 0.913, 95% CI = 0.827–1.009, P = .076), homozygous (OR = 0.832, 95% CI = 0.510–1.356, P = .460), heterozygous (OR = 0.846, 95% CI = 0.647–1.105, P = .220), dominant (OR = 0.840, 95% CI = 0.620–1.136, P = .258) and recessive (OR = 0.883, 95% CI = 0.617–1.263, P = .495) models. Further Bayesian hierarchical analysis indicated lack of significant associations in all models. Conclusion: Exerting the Bayesian meta-analysis as a powerful strategy to pool the data, the rs2056626 polymorphism may not be a predisposing factor for the risk of SSc. © 2019 Elsevier B.V.