André Oszwald , Lucia Zisser , Eva Compérat , Leonhard Müllauer
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引用次数: 0
摘要
多基因下一代测序(NGS)面板已成为当代个性化医疗实践中的常规诊断方法。为了避免不恰当的检测选择或解释,需要详细了解精确的面板目标区域。然而,必要的生物信息学专业知识并不总是可用的,而且公开的、易于解释的目标区域分析也很少。为了解决这一关键的知识缺口,我们推出了面板比较分析工具(PanelCAT),这是一个开源应用程序,用于分析、可视化和比较 NGS 面板 DNA 目标区域。PanelCAT 使用 RefSeq、ClinVar 和 COSMIC 癌症突变普查数据库来量化目标区域的外显子和突变覆盖率,并提供交互式图形表示和搜索功能来检查结果。我们通过分析两个大型 NGS 面板(Illumina TruSight Oncology 500 和 Qiagen Human Pan Cancer Panel)来验证广告中的目标基因、量化目标外显子和突变并识别面板之间的差异,从而证明了 PanelCAT 的实用性。PanelCAT 将使机构和研究人员能够独立于制造商对 NGS 面板目标区域进行编目和可视化,提高面板限制的透明度,并与员工和申购人共享这些信息。
Multigene next-generation sequencing (NGS) panels have become a routine diagnostic method in the contemporary practice of personalized medicine. To avoid inadequate test choice or interpretation, a detailed understanding of the precise panel target regions is required. However, the necessary bioinformatic expertise is not always available, and publicly accessible and easily interpretable analyses of target regions are scarce. To address this critical knowledge gap, we present the Panel Comparative Analysis Tool (PanelCAT), an open-source application to analyze, visualize, and compare NGS panel DNA target regions. PanelCAT uses Reference Sequence, ClinVar, and Catalogue of Somatic Mutations in Cancer mutation census databases to quantify the exon and mutation coverage of target regions and provides interactive graphical representations and search functions to inspect the results. We demonstrate the utility of PanelCAT by analyzing two large NGS panels (TruSight Oncology 500 and Human Pan Cancer Panel) to validate the advertised target genes, quantify targeted exons and mutations, and identify differences between panels. PanelCAT will enable institutions and researchers to catalog and visualize NGS panel target regions independent of the manufacturer, promote transparency of panel limitations, and share this information with employees and requisitioners.
期刊介绍:
The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.