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Whole-Exome Sequencing Targeting a Gene Panel for Sensorineural Hearing Loss: The First Portuguese Cohort Study

感音神经性聋 先证者 外显子组测序 遗传学 听力损失 生物 医学 外显子组 人口 分子诊断学 生物信息学 表型 基因 听力学 突变 环境卫生
作者
Cláudia Sousa Reis,Sofia Quental,Susana Fernandes,Sérgio Castedo,Carla Pinto Moura
标识
DOI:10.1159/000523840
摘要

Next-generation sequencing (NGS) technologies revolutionized the molecular diagnosis of sensorineural hearing loss (SNHL) and are now a standard of care. In this study, 71 Portuguese probands with hereditary SNHL were assessed by whole-exome sequencing (WES) targeting a panel of 158 genes related to SNHL, aiming to evaluate the diagnostic yield of this methodological approach and to report the spectrum of variants. Patients with either nonsyndromic or syndromic SNHL were included. Also, patients were previously screened for variants in the <i>GJB2</i> gene and for duplications/deletions in the <i>GJB6</i> gene. Causative variants in 11 different genes were identified in 15 (21.1%) out of 71 probands, 5 of which had associated syndromes. In 6 other patients (8.5%), presumptive causative variants were identified in <i>MYO15A</i>, <i>TMIE</i>, <i>TBC1D24</i>, <i>SPMX</i>, <i>GJB3</i>, <i>PCDH15</i>, and <i>CDH23</i> genes, uncovering a potential case of digenic Usher syndrome. The study was inconclusive in 20 probands (28.2%), in 19 due to lack of segregation analysis and in one due to uncertain phenotype-genotype matching. In the remaining 30 patients (42.3%) no potentially causative variants were identified. The diagnostic yield did not significantly vary according to the age of hearing-impairment onset. As the first study on the application of NGS technologies in SNHL based on a Portuguese cohort, our results may contribute to characterize the spectrum of variants related to SNHL in the Portuguese population. Additionally, the present study provides new insights into the contribution of <i>MYO3A</i>, <i>TECTA</i>, <i>EDNRB</i>, <i>TBC1D24</i>, and <i>GJB3</i> genes to SNHL. For the significant number of undiagnosed patients, reanalysis of WES data – either for a broader gene panel or in a non-targeted approach – may be considered.

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