STRC Deletion is a Frequent Cause of Slight to Moderate Congenital Hearing Impairment in the Czech Republic

多重连接依赖探针扩增 听力损失 医学 遗传学 桑格测序 突变 生物 听力学 基因 外显子
作者
Pavlína Plevová,Martina Paprskarova,Petra Tvrda,Petra Turska,Rastislav Slavkovský,Eva Mrázková
出处
期刊:Otology & Neurotology [Ovid Technologies (Wolters Kluwer)]
卷期号:38 (10): e393-e400 被引量:33
标识
DOI:10.1097/mao.0000000000001571
摘要

Objective: This study aimed to clarify the molecular epidemiology of hearing loss by identifying the responsible genes in patients without GJB2 mutations. Study Design: Prospective genetic study. Setting: Tertiary referral hospital. Patients: Fifty one patients with bilateral sensorineural hearing loss, 20 men, and 31 women, mean age 24.9 years, range 3 to 64 years, from 49 families. GJB2 and delta GJB6 -D13S1830 mutations were excluded previously. Intervention: Diagnostic. Sixty-nine genes reported to be causative of hearing loss were analyzed. Sequence capture technology, next-generation sequencing, and multiplex ligation-dependent probe amplification (MLPA) were used. Coverage of STRC was screened in Integrative Genomics Viewer software. Main Outcome Measure: Identification of causal pathogenic mutations in genes related to deafness. Results: Five families (10%) had recessive STRC deletions or mutations. Five unrelated patients (10%) had recessive mutations in TMPRSS3, USH2A, PCDH15, LOXHD1 , and MYO15A . Three families (6%) had autosomal dominant mutations in MYO6A, KCNQ4, and SIX1 . One family (2%) had an X-linked POU3F4 mutation. Thus, we identified the cause of hearing loss in 28% of the families studied. Conclusions: Following GJB2 , STRC was the second most frequently mutated gene in patients from the Czech Republic with hearing loss. To decrease the cost of testing, we recommend STRC deletion screening with MLPA before next-generation sequencing. The existence of a pseudogene and polymorphic STRC regions can lead to false-positive or false-negative results when copy number variation analysis is based on next-generation sequencing data.

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