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用于多种遗传性癌症易感性综合征分子诊断的新一代测序流程的验证

Validation of a Next-Generation Sequencing Pipeline for the Molecular Diagnosis of Multiple Inherited Cancer Predisposing Syndromes.

作者信息

Paulo Paula, Pinto Pedro, Peixoto Ana, Santos Catarina, Pinto Carla, Rocha Patrícia, Veiga Isabel, Soares Gabriela, Machado Catarina, Ramos Fabiana, Teixeira Manuel R

机构信息

Cancer Genetics Group, Portuguese Oncology Institute of Porto Research Center (CI-IPOP), Portuguese Oncology Institute of Porto, Porto, Portugal.

Department of Genetics, Portuguese Oncology Institute of Porto, Porto, Portugal.

出版信息

J Mol Diagn. 2017 Jul;19(4):502-513. doi: 10.1016/j.jmoldx.2017.05.001. Epub 2017 May 18.

Abstract

Despite the growing knowledge of the genetic background behind the cancers that occur in a context of hereditary predisposition, personal or family cancer history may not be clear enough to support directional gene testing. Defined targeted next-generation sequencing gene panels allow identification of the causative disease mutations of multigene syndromes and differential diagnosis for syndromes with phenotypically overlapping characteristics. Herein, we established a next-generation sequencing analysis pipeline for the molecular diagnosis of multiple inherited cancer predisposing syndromes using the commercially available target sequencing panel TruSight Cancer. To establish the analysis pipeline, we included 22 control samples with deleterious mutations covering all genes currently analyzed at our institution by standard Sanger sequencing. We tested the pipeline using 51 samples from patients with a clinical diagnosis of neurofibromatosis type 1 (NF1), 10 of which without previous molecular characterization of the causative NF1 mutations. We propose a thoroughly validated analysis pipeline that combines Isaac Enrichment, Burrows-Wheeler Aligner Enrichment, and NextGENe for the alignment and variant calling, and GeneticistAssistant for variant annotation and prioritization. This pipeline allowed the identification of disease-causing mutations in all 73 patients, including a large duplication of 37 bp in NF1. We show that high sensitivity and specificity can be achieved by using multiple bioinformatic tools for alignment and variant calling and careful variant filtering, having in mind the clinical question.

摘要

尽管对遗传性易患背景下发生的癌症背后的遗传背景了解日益增多,但个人或家族癌症病史可能不够清晰,无法支持定向基因检测。定义明确的靶向新一代测序基因panel可识别多基因综合征的致病疾病突变,并对具有表型重叠特征的综合征进行鉴别诊断。在此,我们使用市售的靶向测序panel TruSight Cancer建立了一种用于多种遗传性癌症易感综合征分子诊断的新一代测序分析流程。为建立该分析流程,我们纳入了22个带有有害突变的对照样本,涵盖了目前我们机构通过标准桑格测序分析的所有基因。我们使用来自临床诊断为1型神经纤维瘤病(NF1)患者的51个样本对该流程进行了测试,其中10个样本此前未对致病NF1突变进行分子特征分析。我们提出了一种经过充分验证的分析流程,该流程结合了Isaac Enrichment、Burrows-Wheeler Aligner Enrichment和NextGENe进行比对和变异检测,以及GeneticistAssistant进行变异注释和优先级排序。该流程能够在所有73例患者中识别出致病突变,包括NF1基因中一个37 bp的大片段重复。我们表明,通过使用多种生物信息学工具进行比对和变异检测,并结合临床问题进行仔细的变异过滤,可以实现高灵敏度和特异性。

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