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Next-Generation Molecular Investigations in Lysosomal Diseases: Clinical Integration of a Comprehensive Targeted Panel

机译:溶酶体疾病的下一代分子研究:综合目标专家组的临床一体化

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摘要

Diagnosis of lysosomal disorders (LDs) may be hampered by their clinical heterogeneity, phenotypic overlap, and variable age at onset. Conventional biological diagnostic procedures are based on a series of sequential investigations and require multiple sampling. Early diagnosis may allow for timely treatment and prevent clinical complications. In order to improve LDs diagnosis, we developed a capture-based next generation sequencing (NGS) panel allowing the detection of single nucleotide variants (SNVs), small insertions and deletions, and copy number variants (CNVs) in 51 genes related to LDs. The design of the LD panel covered at least coding regions, promoter region, and flanking intronic sequences for 51 genes. The validation of this panel consisted in testing 21 well-characterized samples and evaluating analytical and diagnostic performance metrics. Bioinformatics pipelines have been validated for SNVs, indels and CNVs. The clinical output of this panel was tested in five novel cases. This capture-based NGS panel provides an average coverage depth of 474× which allows the detection of SNVs and CNVs in one comprehensive assay. All the targeted regions were covered above the minimum required depth of 30×. To illustrate the clinical utility, five novel cases have been sequenced using this panel and the identified variants have been confirmed using Sanger sequencing or quantitative multiplex PCR of short fluorescent fragments (QMPSF). The application of NGS as first-line approach to analyze suspected LD cases may speed up the identification of alterations in LD-associated genes. NGS approaches combined with bioinformatics analyses, are a useful and cost-effective tool for identifying the causative variations in LDs.
机译:溶酶体紊乱(LDS)的诊断可以通过它们的临床异质性,表型重叠和发作时年龄妨碍。常规的生物诊断程序基于一系列顺序调查,并需要多个采样。早期诊断可允许及时治疗和预防临床并发症。为了改善LDS诊断,我们开发了一种基于捕获的下一代测序(NGS)面板,允许检测单一核苷酸变体(SNV),小插入和缺失,以及与LD相关的51个基因中的拷贝数变体(CNV)。 LD面板的设计覆盖至少编码区域,启动子区域和51个基因的侧翼内肠序列。本面板的验证组成的是测试21种良好的样本和评估分析和诊断性能度量。生物信息学管道已被验证为SNV,Indels和CNV。在五种新案例中测试了该面板的临床输出。基于捕获的NGS面板提供平均覆盖深度为474×,允许在一个综合测定中检测SNV和CNV。所有目标区域的均高于最低所需深度为30×。为了说明临床实用,使用该面板对五种新病例进行了测序,并且使用Sanger测序或短荧光片段(QMPSF)的定量多重PCR确认了所鉴定的变体。 NGS作为分析疑似LD病例的一线方法的应用可以加速LD相关基因的改变的鉴定。 NGS与生物信息学分析相结合,是用于识别LDS的致病变化的有用和成本效益的工具。

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