The γ-aminobutyric acid type A receptors (GABAAR) have been reported to contribute to the pathogenesis of epilepsy and the recurrence of chronic seizures. Genetic polymorphisms in GABRA1 and GABRA6 may confer a high risk of epilepsy and multiple drug resistance, but with conflicting results. We aimed to assess the association of GABRA1 rs2279020 and GABRA6 rs3219151 with epilepsy risk using a meta-analysis. The databases of Pubmed, Ovid, Web of Science, and China National Knowledge Infrastructure were searched. Summary odds ratios (ORs) and 95% confidence intervals (CIs) were computed to evaluate the association between the polymorphisms and epilepsy risk using a fixed- or random-effect model. Trial sequential analysis (TSA) was performed to assess the results of the meta-analysis. No significant association between the GABRA1 rs2279020 and GABRA6 rs3219151 and the risk of epilepsy was found in the Asian and Arabic populations. The negative results were also observed when comparing the GABRA1 rs2279020 and GABRA6 rs3219151 polymorphism to antiepileptic drug responsiveness. The trial sequential analysis confirmed the results of the meta-analysis. This meta-analysis suggests that GABRA1 rs2279020 and GABRA6 rs3219151 are not risk factors for the etiology of epilepsy and antiepileptic drug responsiveness in the Asian and Arabic populations.

Epilepsy is one of the most common neurological disorders with the incidence rate higher in developing states. It is a multifactorial ailment in which genetic diversity along with other factors plays an important role. The objective of this study was to assess the involvement of different risk factors including single nucleotide polymorphisms (SNPs) present in GABRA1 (rs2279020) and GABRG2 (rs211037) genes with the susceptibility to epilepsy in the targeted population. Blood samples of 180 subjects were taken and genotyped through tetra-primer amplification refractory mutation system-polymerase chain reaction technique. The obtained demographic and genotypic data were analyzed through different statistical tools including χ2 (chi-square) test and odds ratio. Parental consanguinity and family history of seizures were observed in a considerable number of cases of this study along with residency in industrial areas. But, no association of rs2279020 (χ2 = 0.900, P = 0.638) and rs211037 (χ2 = 0.045, P = 0.832) was observed with predisposition to epilepsy. However, GG genotype of rs2279020 was observed more in female cases as compared to male cases. Furthermore, TG haplotype was observed to be associated with the increased risk of developing epilepsy (χ2 = 9.097; OR = 2.586; P = 0.002). Genetic models also showed no correlation of the targeted SNPs with the susceptibility to epilepsy. The outcomes of the present study suggested that neither rs211037 nor rs2279020 were associated with increased susceptibility to epilepsy in the targeted population.