Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA.
Otolaryngol Head Neck Surg. 2013 Jun;148(6):1007-16. doi: 10.1177/0194599813482294. Epub 2013 Mar 22.
To evaluate the performance of a next-generation sequencing (NGS)-based targeted resequencing genetic test, OtoSeq, to identify the sequence variants in the genes causing sensorineural hearing loss (SNHL).
Retrospective study.
Tertiary children's hospital.
A total of 8 individuals presenting with prelingual hearing loss were used in this study. The coding and flanking intronic regions of 24 well-studied SNHL genes were enriched using microdroplet polymerase chain reaction and sequenced on an Illumina HiSeq 2000 sequencer. The filtered high-quality sequence reads were mapped to reference sequence, and variants were detected using NextGENe software.
A total of 1148 sequence variants were detected in 8 samples in 24 genes. Using in-house developed NGS data analysis criteria, we classified 810 (~71%) of these variants as potential true variants that include previously detected pathogenic mutations in 5 patients. To validate our strategy, we Sanger sequenced the target regions of 5 of the 24 genes, accounting for about 29.2% of all target sequence. Our results showed >99.99% concordance between NGS and Sanger sequencing in these 5 genes, resulting in an analytical sensitivity and specificity of 100% and 99.997%, respectively. We were able to successfully detect single base substitutions, small deletions, and insertions of up to 22 nucleotides.
This study demonstrated that our NGS-based mutation screening strategy is highly sensitive and specific in detecting sequence variants in the SNHL genes. Therefore, we propose that this NGS-based targeted sequencing method would be an alternative to current technologies for identifying the multiple genetic causes of SNHL.
评估基于下一代测序(NGS)的靶向重测序遗传测试 OtoSeq 在识别导致感音神经性听力损失(SNHL)的基因序列变异中的性能。
回顾性研究。
三级儿童医院。
本研究共纳入 8 名表现为语前听力损失的个体。使用微滴式聚合酶链反应对 24 个研究充分的 SNHL 基因的编码和侧翼内含子区域进行富集,并在 Illumina HiSeq 2000 测序仪上进行测序。过滤后的高质量序列读取与参考序列进行比对,并使用 NextGENe 软件检测变异。
在 24 个基因的 8 个样本中检测到 1148 个序列变异。使用内部开发的 NGS 数据分析标准,我们将其中 810 个(约 71%)变异归类为潜在的真实变异,这些变异包括 5 名患者中已检测到的致病性突变。为了验证我们的策略,我们对 24 个基因中的 5 个基因的目标区域进行了 Sanger 测序,这些基因占所有目标序列的约 29.2%。我们的结果显示,在这 5 个基因中,NGS 和 Sanger 测序之间的一致性>99.99%,分析的灵敏度和特异性分别为 100%和 99.997%。我们能够成功检测到单碱基替换、小的缺失和插入,最长可达 22 个核苷酸。
本研究表明,我们基于 NGS 的突变筛查策略在检测 SNHL 基因中的序列变异方面具有高度的灵敏度和特异性。因此,我们建议该基于 NGS 的靶向测序方法可以替代当前技术,用于确定 SNHL 的多种遗传原因。