Samorodnitsky Eric, Jewell Benjamin M, Hagopian Raffi, Miya Jharna, Wing Michele R, Lyon Ezra, Damodaran Senthilkumar, Bhatt Darshna, Reeser Julie W, Datta Jharna, Roychowdhury Sameek
Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, 43210.
Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, 43210.
Hum Mutat. 2015 Sep;36(9):903-14. doi: 10.1002/humu.22825. Epub 2015 Jul 15.
Next-generation sequencing has aided characterization of genomic variation. While whole-genome sequencing may capture all possible mutations, whole-exome sequencing remains cost-effective and captures most phenotype-altering mutations. Initial strategies for exome enrichment utilized a hybridization-based capture approach. Recently, amplicon-based methods were designed to simplify preparation and utilize smaller DNA inputs. We evaluated two hybridization capture-based and two amplicon-based whole-exome sequencing approaches, utilizing both Illumina and Ion Torrent sequencers, comparing on-target alignment, uniformity, and variant calling. While the amplicon methods had higher on-target rates, the hybridization capture-based approaches demonstrated better uniformity. All methods identified many of the same single-nucleotide variants, but each amplicon-based method missed variants detected by the other three methods and reported additional variants discordant with all three other technologies. Many of these potential false positives or negatives appear to result from limited coverage, low variant frequency, vicinity to read starts/ends, or the need for platform-specific variant calling algorithms. All methods demonstrated effective copy-number variant calling when evaluated against a single-nucleotide polymorphism array. This study illustrates some differences between whole-exome sequencing approaches, highlights the need for selecting appropriate variant calling based on capture method, and will aid laboratories in selecting their preferred approach.
新一代测序技术有助于基因组变异的特征描述。虽然全基因组测序可能捕获所有可能的突变,但全外显子组测序仍然具有成本效益,并且能捕获大多数改变表型的突变。最初的外显子组富集策略采用基于杂交的捕获方法。最近,基于扩增子的方法被设计出来以简化样本制备并使用更少的DNA输入量。我们使用Illumina和Ion Torrent测序仪评估了两种基于杂交捕获和两种基于扩增子的全外显子组测序方法,比较了靶向比对、均一性和变异检测。虽然基于扩增子的方法具有更高的靶向率,但基于杂交捕获的方法表现出更好的均一性。所有方法都鉴定出了许多相同的单核苷酸变异,但每种基于扩增子的方法都遗漏了其他三种方法检测到的变异,并报告了与其他三种技术不一致的额外变异。许多这些潜在的假阳性或假阴性似乎是由于覆盖范围有限、变异频率低、靠近读段起始/末端或需要特定平台的变异检测算法导致的。当与单核苷酸多态性阵列进行比较评估时,所有方法都展示了有效的拷贝数变异检测。本研究阐述了全外显子组测序方法之间的一些差异,强调了根据捕获方法选择合适的变异检测的必要性,并将有助于实验室选择他们偏爱的方法。