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下一代测序与基因诊断学相遇:BRCA1 和 BRCA2 基因分析综合工作流程的开发。

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

机构信息

Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain.

出版信息

Eur J Hum Genet. 2013 Aug;21(8):864-70. doi: 10.1038/ejhg.2012.270. Epub 2012 Dec 19.

Abstract

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.

摘要

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。本研究旨在开发一种基于 NGS 的常规诊断遗传性乳腺癌和卵巢癌综合征(HBOCS)的工作流程,以改进 BRCA1 和 BRCA2 的基因检测。使用 BRCA MASTR 试剂盒扩增文库,然后进行 GS Junior 焦磷酸测序,设计了一种基于 NGS 的工作流程。数据分析结合了 Variant Identification Pipeline 免费软件和特定的 R 脚本,包括一系列用于生成覆盖度和变异调用报告的筛选器。同时进行 BRCA 串联重复序列分析。研究方案分为两部分。使用包含 23 个独特致病性突变和 213 个其他变体(33 个独特)的 28 个 DNA 样本的 Training Set。该工作流程在包含 HBOCS 家族的 14 个样本的一组中与当前的诊断工作流程(Validation Set)同时进行验证。开发的基于 NGS 的工作流程允许识别所有致病性突变和遗传变异,包括位于或靠近串联重复序列的突变和变异。还研究了使用 NGS 检测拷贝数改变的情况。该工作流程满足 HBOCS 遗传诊断的灵敏度和特异性要求,并提高了当前方法的成本效益。

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