Mahamdallie Shazia, Ruark Elise, Yost Shawn, Münz Márton, Renwick Anthony, Poyastro-Pearson Emma, Strydom Ann, Seal Sheila, Rahman Nazneen
Division of Genetics & Epidemiology , The Institute of Cancer Research, London, SM2 5NG, UK.
TGLclinical, The Institute of Cancer Research, London, SM2 5NG, UK.
Wellcome Open Res. 2018 Apr 4;3:37. doi: 10.12688/wellcomeopenres.14307.1. eCollection 2018.
Next generation sequencing (NGS) is routinely used in clinical genetic testing. Quality management of NGS testing is essential to ensure performance is consistently and rigorously evaluated. Three primary metrics are used in NGS quality evaluation: depth of coverage, base quality and mapping quality. To provide consistency and transparency in the utilisation of these metrics we present the Quality Sequencing Minimum (QSM). The QSM defines the minimum quality requirement a laboratory has selected for depth of coverage (C), base quality (B) and mapping quality (M) and can be applied per base, exon, gene or other genomic region, as appropriate. The QSM format is CX_BY(P )_MZ(P ). X is the parameter threshold for C, Y the parameter threshold for B, P the percentage of reads that must reach Y, Z the parameter threshold for M, P the percentage of reads that must reach Z. The data underlying the QSM is in the BAM file, so a QSM can be easily and automatically calculated in any NGS pipeline. We used the QSM to optimise cancer predisposition gene testing using the TruSight Cancer Panel (TSCP). We set the QSM as C50_B10(85)_M20(95). Test regions falling below the QSM were automatically flagged for review, with 100/1471 test regions QSM-flagged in multiple individuals. Supplementing these regions with 132 additional probes improved performance in 85/100. We also used the QSM to optimise testing of genes with pseudogenes such as and . In TSCP data from 960 individuals the median number of regions that passed QSM per sample was 1429 (97%). Importantly, the QSM can be used at an individual report level to provide succinct, comprehensive quality assurance information about individual test performance. We believe many laboratories would find the QSM useful. Furthermore, widespread adoption of the QSM would facilitate consistent, transparent reporting of genetic test performance by different laboratories.
新一代测序(NGS)常用于临床基因检测。NGS检测的质量管理对于确保性能得到持续且严格的评估至关重要。NGS质量评估中使用三个主要指标:覆盖深度、碱基质量和比对质量。为了在这些指标的使用中提供一致性和透明度,我们提出了测序质量最小值(QSM)。QSM定义了实验室为覆盖深度(C)、碱基质量(B)和比对质量(M)选择的最低质量要求,并且可以根据情况应用于每个碱基、外显子、基因或其他基因组区域。QSM格式为CX_BY(P)_MZ(P)。X是C的参数阈值,Y是B的参数阈值,P是必须达到Y的读数百分比,Z是M的参数阈值,P是必须达到Z的读数百分比。QSM的基础数据在BAM文件中,因此可以在任何NGS流程中轻松自动地计算QSM。我们使用QSM通过TruSight癌症检测板(TSCP)优化癌症易感基因检测。我们将QSM设置为C50_B10(85)_M20(95)。低于QSM的检测区域会自动标记以供审查,在多个个体中有100/1471个检测区域被QSM标记。用另外132个探针补充这些区域可使85/100的性能得到改善。我们还使用QSM优化对含有假基因的基因(如 和 )的检测。在来自960个个体的TSCP数据中,每个样本通过QSM的区域中位数为1429(97%)。重要的是,QSM可用于个体报告层面,以提供关于个体检测性能的简洁、全面的质量保证信息。我们相信许多实验室会发现QSM很有用。此外,广泛采用QSM将有助于不同实验室对基因检测性能进行一致、透明的报告。