Polymorphism in GRHL2 gene may contribute to noise-induced hearing loss susceptibility: a meta-analysis

• Autor(a) principal: Li,Xin
• Data de Publicação: 2020
• Outros Autores: Zhu,Zhengping, Li,Wei, Wei,Li, Zhao,Baocheng, Hao,Zheng
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Brazilian Journal of Otorhinolaryngology
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1808-86942020000300370
• topic: Noise-induced hearing loss; Grainyhead like 2; Molecular epidemiology; Polymorphism; Meta-analysis

Abstract Instruction: Noise-induced hearing loss is a leading occupational disease caused by gene-environment interaction. The Grainy Like 2, GRHL2, is a candidate gene. In this regard, many studies have evaluated the association between GRHL2 and noise-induced hearing loss, although the results are ambiguous and conflicting. Objective: The purpose of this study was to identify a precise estimation of the association between rs3735715 polymorphism in GRHL2 gene and susceptibility of noise-induced hearing loss. Methods: A comprehensive search was performed to collect data up to July 8, 2018. Finally, 4 eligible articles were included in this meta-analysis comprising 2410 subjects. The pooled odds ratios with 95% confidence intervals were used to evaluate the strength of the association. Results: Significant association was found in the overall population in the dominant model (GA/AA vs. GG, odds ratio = 0.707, 95% confidence interval = 0.594-0.841) and allele model (G allele vs. A allele, odds ratio = 1.189, 95% confidence interval = 1.062-1.333). When stratified by source of the subjects, we also found association between rs3735715 and noise-induced hearing loss risk in the dominant model (GA/AA vs. GG, odds ratio = 0.634, 95% confidence interval = 0.514-0.783) and allele model (G allele vs. A allele, odds ratio = 1.206, 95% confidence interval = 1.054-1.379). Conclusion: Rs3735715 polymorphism in GRHL2 gene may influence the susceptibility of noise-induced hearing loss. Additional large, well-designed and functional studies are needed to confirm this association in different populations.