Literature DB >> 33914194

Genetic polymorphisms in SCN2A are not associated with epilepsy risk and AEDs response: evidence from a meta-analysis.

Ruiqing Yang1, Ruiyi Qian1, Kerun Chen1, Wei Yi1, Xiutian Sima2.   

Abstract

BACKGROUND: Previous studies have investigated the association between rs2304016 and rs17183814 polymorphisms in sodium voltage-gated channel alpha subunit 2 (SCN2A) and epilepsy risk and responsiveness to antiepileptic drugs (AEDs) but with conflicting results. Our aim was to reevaluate the relationship by performing a systematic review and meta-analysis.
METHODS: By searching PubMed, Medline, and CNKI, 14 studies were selected. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were computed to measure the association between rs17183814 and rs2304016 polymorphisms and the risk of epilepsy and AEDs response using the fixed-effects model or the random-effects model.
RESULTS: No significant association between the rs17183814 in SCN2A and the risk of epilepsy was observed (heterozygous comparison: OR = 0.78, 95% CI: 0.61-1.00; homozygous comparison: OR = 1.34, 95% CI: 0.63-2.86; dominant model: OR = 0.82, 95% CI: 0.64-1.04; recessive model: OR = 1.44, 95% CI: 0.68-3.05; allele comparison: OR = 0.88, 95%CI: 0.71-1.10). Moreover, neither the rs17183814 nor the rs2304016 was associated with AEDs response.
CONCLUSION: This meta-analysis suggests that the rs17183814 and rs2304016 polymorphisms in SCN2A are not associated with the risk of epilepsy and response to AEDs.

Entities:  

Keywords:  Epilepsy; Meta-analysis; Polymorphism; SCN2A

Year:  2021        PMID: 33914194     DOI: 10.1007/s10072-021-05242-x

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  2 in total

1.  Associations between the C3435T polymorphism of the ABCB1 gene and drug resistance in epilepsy: a meta-analysis.

Authors:  Wei-Ping Lv; Ren-Feng Han; Zhi-Rong Shu
Journal:  Int J Clin Exp Med       Date:  2014-11-15

Review 2.  SCN2A channelopathies: Mechanisms and models.

Authors:  Ulrike B S Hedrich; Stephan Lauxmann; Holger Lerche
Journal:  Epilepsia       Date:  2019-12       Impact factor: 5.864

  2 in total

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