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超深度多癌种panel 测序在具有广泛变异等位基因频率的基准样本中的应用。

Ultra-deep multi-oncopanel sequencing of benchmarking samples with a wide range of variant allele frequencies.

机构信息

Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA.

Immuneering Corporation, One Broadway, 14th Floor, Cambridge, MA, 02142, USA.

出版信息

Sci Data. 2022 Jun 9;9(1):288. doi: 10.1038/s41597-022-01359-6.

DOI:10.1038/s41597-022-01359-6
PMID:35680918
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9184574/
Abstract

The lack of suitable reference genomic material to enable a transparent cross-lab study of oncopanels inspired the SEQC2 Oncopanel Sequencing Working Group to develop four reference samples, sequenced with eight oncopanels at independent test laboratories with ultra-deep sequencing depth. This rich, publicly available dataset enabled performance assessment of the clinical applicability of oncopanels. In addition, this dataset present sample opportunities for developing specific and robust bioinformatics pipelines and fine-tuning parameters for more accurate variant calling, investigating ideal sequencing depth for variant calling of a given minimum VAF and variant type, and also recommending best use cases for Unique Molecular Identifier (UMI) technology.

摘要

缺乏合适的参考基因组材料,使得对肿瘤panel 进行透明的跨实验室研究变得困难,这促使 SEQC2 肿瘤panel 测序工作组开发了四个参考样本,这些样本在具有超高测序深度的独立测试实验室中使用八个肿瘤panel 进行了测序。这个丰富的、公开可用的数据集使我们能够评估肿瘤panel 的临床适用性。此外,该数据集还为开发特定的和稳健的生物信息学管道提供了样本机会,以便更准确地调用变异,研究给定最小 VAF 和变异类型的变异调用所需的理想测序深度,还推荐了用于独特分子标识符 (UMI) 技术的最佳用例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ae/9184574/b8b61ff7f5cf/41597_2022_1359_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ae/9184574/b8b61ff7f5cf/41597_2022_1359_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ae/9184574/b8b61ff7f5cf/41597_2022_1359_Fig1_HTML.jpg

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本文引用的文献

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Advancing NGS quality control to enable measurement of actionable mutations in circulating tumor DNA.推进 NGS 质量控制以实现对循环肿瘤 DNA 中可操作突变的检测。
Cell Rep Methods. 2021 Nov 3;1(7):100106. doi: 10.1016/j.crmeth.2021.100106. eCollection 2021 Nov 22.
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A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency.用于评估检测低频等位基因小变异的癌症panel 性能的经验证基因组参考样本。
Genome Biol. 2021 Apr 16;22(1):111. doi: 10.1186/s13059-021-02316-z.
3
Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions.
交叉肿瘤panel 研究显示,其具有较高的灵敏度和准确性,整体分析性能取决于基因组区域。
Genome Biol. 2021 Apr 16;22(1):109. doi: 10.1186/s13059-021-02315-0.
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Nature. 2011 Jul 20;475(7356):348-52. doi: 10.1038/nature10242.
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BMC Genomics. 2004 Mar 9;5(1):20. doi: 10.1186/1471-2164-5-20.