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Next generation sequencing using phenotype-based panels for genetic testing in inherited retinal diseases

机译:使用基于表型的面板进行遗传视网膜疾病的遗传检测的下一代测序

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Introduction Diagnostic next generation sequencing (NGS) services for patients with inherited retinal diseases (IRD) traditionally use gene panel based approaches, which have cost and resource implications. Phenotype-based gene panels use a targeted strategy with further testing protocols, if initial results are negative. We present the molecular findings of the Oxford phenotype-based NGS panels for genetic testing in IRD. Methods Results of 655 consecutive patients referred for phenotype-based panel testing over 54 months were analysed to assess diagnostic yield. Results Variants were identified in 450 patients (68.7%). The overall diagnostic yield from phenotype-based panels was 42.8%. The diagnostic yield was highest from panels representing distinct clinical phenotypes: Usher panel 90.9% and congenital stationary night blindness panel 75.0%. Retinitis pigmentosa/rod-cone dystrophy was the commonest presenting phenotype (n = 243) and Usher syndrome was the commonest presenting syndromic disease (n = 39). Patients presenting with late-onset (>= 50 years) macular disease had a lower diagnostic yield (18.0%) compared with patients <50 years (24.2%). Additionally, a diagnostic yield of 1.8% was attributable to copy number variants. Conclusions Phenotype-based genetic testing panels provide a targeted testing approach and reduce bioinformatics demand. The overall diagnostic yield achieved in this study reflects the wide range of phenotypes that were referred. This pragmatic approach provides a high yield for early-onset and clearly defined genetically determined disorders but clinical utility is not as clear for late-onset macular disorders. This phenotype-based panel approach is clinician-referrer orientated, and can be used as a front-end virtual panel, when whole genome sequencing is introduced into diagnostic services for IRD.
机译:介绍遗传性视网膜疾病(IRD)的诊断下一代测序(NGS)服务传统上使用基于基因面板的方法,具有成本和资源影响。基于表型的基因面板使用具有进一步测试协议的目标策略,如果初始结果是负的。我们介绍了牛津表型的NGS面板的分子结果,用于IRD中的遗传检测。方法分析655名连续患者的结果,分析了超过54个月的基于表型的面板测试,以评估诊断产量。结果在450名患者(68.7%)中鉴定了变异。基于表型面板的整体诊断产量为42.8%。诊断产量从代表不同的临床表型的面板中最高:迎员面板90.9%和先天固定夜盲板75.0%。视网膜炎颜料/棒锥营养不良是最常见的呈递表型(n = 243),迎膜综合症是最常见的呈现综合征疾病(n = 39)。患有晚期发病(> = 50年)的患者与患者<50岁(24.2%)相比,黄斑病患率较低(18.0%)。此外,1.8%的诊断产量是归因于拷贝数变体。结论基于表型的遗传检测面板提供了目标测试方法,降低了生物信息学需求。本研究中达到的整体诊断产量反映了所指的广泛表型。这种务实的方法为早期发病的高产率和明确定义的遗传确定的疾病,但临床效用并不像晚发病性黄斑障碍那样清楚。这种基于表型的面板方法是临床考虑因素,可以用作前端虚拟面板,当为IRD的诊断服务引入整个基因组测序时。

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