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Next-generation sequencing meets genetic diagnostics: development of a comprehensive workflow for the analysis of BRCA1 and BRCA2 genes

机译:下一代测序可满足遗传学诊断:开发全面的工作流程以分析BRCA1和BRCA2基因

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摘要

Next-generation sequencing (NGS) is changing genetic diagnosis due to its huge sequencing capacity and cost-effectiveness. The aim of this study was to develop an NGS-based workflow for routine diagnostics for hereditary breast and ovarian cancer syndrome (HBOCS), to improve genetic testing for BRCA1 and BRCA2. A NGS-based workflow was designed using BRCA MASTR kit amplicon libraries followed by GS Junior pyrosequencing. Data analysis combined Variant Identification Pipeline freely available software and ad hoc R scripts, including a cascade of filters to generate coverage and variant calling reports. A BRCA homopolymer assay was performed in parallel. A research scheme was designed in two parts. A Training Set of 28 DNA samples containing 23 unique pathogenic mutations and 213 other variants (33 unique) was used. The workflow was validated in a set of 14 samples from HBOCS families in parallel with the current diagnostic workflow (Validation Set). The NGS-based workflow developed permitted the identification of all pathogenic mutations and genetic variants, including those located in or close to homopolymers. The use of NGS for detecting copy-number alterations was also investigated. The workflow meets the sensitivity and specificity requirements for the genetic diagnosis of HBOCS and improves on the cost-effectiveness of current approaches.
机译:下一代测序(NGS)由于其巨大的测序能力和成本效益,正在改变遗传诊断。这项研究的目的是开发一种基于NGS的工作流程,用于遗传性乳腺癌和卵巢癌综合症(HBOCS)的常规诊断,以改善BRCA1和BRCA2的基因检测。使用BRCA MASTR试剂盒扩增子文库,然后进行GS Junior焦磷酸测序,设计了基于NGS的工作流程。数据分析结合了Variant Identification Pipeline免费提供的软件和ad hoc R脚本,包括用于生成覆盖率和变体调用报告的一系列过滤器。并行进行BRCA均聚物测定。研究计划分为两部分。使用了包含23个独特的致病突变和213个其他变体(33个独特)的28个DNA样本的训练集。在与当前诊断工作流程(验证集)并行的同时,在来自HBOCS系列的14个样本中验证了该工作流程。基于NGS的工作流程得以开发,可以识别所有致病突变和遗传变异,包括位于均聚物中或附近的那些。还研究了使用NGS检测拷贝数变化。该工作流程满足了HBOCS基因诊断的敏感性和特异性要求,并提高了当前方法的成本效益。

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