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在突变发现方法中评估不一致的体质呼叫,以尽量减少假阴性耐药性发现

Hsin-Fu Lin¹, Pei-Miao Chien², Chinyi Cheng²

¹Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan.

The Journal of molecular diagnostics : JMD

|June 15, 2025

概括

使用全外因组测序 (WES) 进行强大的体内突变检测对于癌症治疗决策至关重要. 这项研究对WES分析管道进行了基准分析,揭示了DRAGEN.

科学领域:

基因组学就是基因组学.
生物信息学是一种生物信息学.
癌症研究癌症研究

背景情况:

通过全外因子测序 (WES) 准确检测体突变对于个性化癌症治疗策略至关重要.
测序质量控制第二阶段 (SQC第二阶段) 项目提供了一个标准化的数据集,用于评估WES工作流中的分析有效性.
图书馆准备和生物信息分析的变化可以显著影响突变检测的准确性.

研究的目的:

综合评估各种整体外体序列 (WES) 分析管道的稳定性和分析有效性,以检测体质突变.
为了比较不同读取对齐器和突变调用器的性能,包括商业和开源选项.
评估不同缩套件对突变检测率的影响,并确定潜在的偏差.

主要方法:

利用了来自美国食品和药物管理局领导的测序质量控制第二阶段项目的瘤全外体序列 (WES) 数据.
评估了阅读对齐器 (BWA,Bowtie2,DRAGEN-Aligner,DRAGMAP,HISAT2) 和突变调用器 (Mutect2,TNscope,DRAGEN-Caller,DeepVariant) 的多种组合.
使用F1分数等指标评估性能,并分析不同DNA丰富套件和特定突变调用之间的差异.

主要成果:

德拉根管道表现出卓越的性能,在单核酸变体 (0.966) 和插入/删除 (0.791) 方面均获得高平均F1分数.
在开源工具中,BWA Mutect2和HISAT2 Mutect2组合分别为单核酸变体 (0.949) 和插入/删除 (0.722) 产生了最好的结果.
在丰富套件中观察到显著差异,集成DNA技术套件显示出更高的假阴性率,特定套件缺少关键突变 (例如CBL,IDH1,PIK3CB).

结论:

生物信息管道和丰富套件的选择显著影响了整体外体序列 (WES) 中体质突变检测的准确性.
DRAGEN提供了高性能,而特定的开源组合提供了强大的替代方案.
强大的生物信息分析对于基于WES数据的瘤学中可靠的临床决策至关重要.

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