Nietsch Rouven, Haas Jan, Lai Alan, Oehler Daniel, Mester Stefan, Frese Karen S, Sedaghat-Hamedani Farbod, Kayvanpour Elham, Keller Andreas, Meder Benjamin
Institute for Cardiomyopathies, Department of Internal Medicine III, University of Heidelberg, 69120 Heidelberg, Germany.
Institute for Cardiomyopathies, Department of Internal Medicine III, University of Heidelberg, 69120 Heidelberg, Germany; German Centre for Cardiovascular Research (DZHK), Heidelberg/Mannheim, Germany.
Genomics Proteomics Bioinformatics. 2016 Aug;14(4):200-6. doi: 10.1016/j.gpb.2016.04.007. Epub 2016 Jul 28.
Next-generation sequencing (NGS) is getting routinely used in the diagnosis of hereditary diseases, such as human cardiomyopathies. Hence, it is of utter importance to secure high quality sequencing data, enabling the identification of disease-relevant mutations or the conclusion of negative test results. During the process of sample preparation, each protocol for target enrichment library preparation has its own requirements for quality control (QC); however, there is little evidence on the actual impact of these guidelines on resulting data quality. In this study, we analyzed the impact of QC during the diverse library preparation steps of Agilent SureSelect XT target enrichment and Illumina sequencing. We quantified the parameters for a cohort of around 600 samples, which include starting amount of DNA, amount of sheared DNA, smallest and largest fragment size of the starting DNA; amount of DNA after the pre-PCR, and smallest and largest fragment size of the resulting DNA; as well as the amount of the final library, the corresponding smallest and largest fragment size, and the number of detected variants. Intriguingly, there is a high tolerance for variations in all QC steps, meaning that within the boundaries proposed in the current study, a considerable variance at each step of QC can be well tolerated without compromising NGS quality.
新一代测序(NGS)已常规用于遗传性疾病的诊断,如人类心肌病。因此,确保高质量的测序数据至关重要,这有助于识别与疾病相关的突变或得出阴性检测结果。在样本制备过程中,每种目标富集文库制备方案都有其自身的质量控制(QC)要求;然而,关于这些指南对最终数据质量的实际影响的证据很少。在本研究中,我们分析了安捷伦SureSelect XT目标富集和Illumina测序不同文库制备步骤中的质量控制的影响。我们对约600个样本的参数进行了量化分析,这些参数包括DNA起始量、剪切后DNA量、起始DNA的最小和最大片段大小;PCR前的DNA量,以及所得DNA的最小和最大片段大小;以及最终文库的量、相应的最小和最大片段大小,以及检测到的变异数量。有趣的是,所有质量控制步骤对变异都有很高的耐受性,这意味着在本研究提出的范围内,质量控制的每个步骤中相当大的差异都能得到很好的容忍,而不会影响NGS质量。