Bioinformatic Analysis of GJB2 Gene Missense Mutations

摘要

Gap junction beta 2 (GJB2) gene is the most commonly mutated connexin gene in patients with autosomal recessive and dominant hearing loss. According to Ensembl (release 74) database, 1347 sequence variations are reported in the GJB2 gene and about 13.5 % of them are categorized as missense SNPs or nonsynonymous variant. Because of the high incidence of GJB2 mutations in hearing loss patients, revealing the molecular effect of GJB2 mutations on protein structure may also provide clear point of view regarding the molecular etiology of deafness. Hence, the aim of this study is to analyze structural and functional consequences of all known GJB2 missense variations to the Cx26 protein by applying multiple bioinformatics methods. Two-hundred and eleven nonsynonymous variants were collected from Ensembl release 74, Leiden Open Variation Database (LOVD) and The Human Gene Mutation Database (HGMD). A number of bioinformatic tools were utilized for predicting the effect of GJB2 missense mutations at the sequence, structural, and functional levels. Some of the mutations were found to locate highly conserved regions and have structural and functional properties. Moreover, GJB2 mutations were also found to affect Cx26 protein at the molecular level via loss or gain of disorder, catalytic site, and post-translational modifications, including methylation, glycosylation, and ubiquitination. Findings, presented here, demonstrated the application of bioinformatic algorithms to predict the effects of mutations causing hearing impairment. I expect, this type of analysis will serve as a start point for future experimental evaluation of the GJB2 gene mutations and it will also be helpful in evaluating other deafness-related gene mutations.