LaDuca Holly, Farwell Kelly D, Vuong Huy, Lu Hsiao-Mei, Mu Wenbo, Shahmirzadi Layla, Tang Sha, Chen Jefferey, Bhide Shruti, Chao Elizabeth C
Department of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, United States of America.
Department of Pediatrics, Division of Genetics and Genomic Medicine, University of California Irvine, Irvine, California, United States of America.
PLoS One. 2017 Feb 2;12(2):e0170843. doi: 10.1371/journal.pone.0170843. eCollection 2017.
With the expanded availability of next generation sequencing (NGS)-based clinical genetic tests, clinicians seeking to test patients with Mendelian diseases must weigh the superior coverage of targeted gene panels with the greater number of genes included in whole exome sequencing (WES) when considering their first-tier testing approach. Here, we use an in silico analysis to predict the analytic sensitivity of WES using pathogenic variants identified on targeted NGS panels as a reference.
Corresponding nucleotide positions for 1533 different alterations classified as pathogenic or likely pathogenic identified on targeted NGS multi-gene panel tests in our laboratory were interrogated in data from 100 randomly-selected clinical WES samples to quantify the sequence coverage at each position. Pathogenic variants represented 91 genes implicated in hereditary cancer, X-linked intellectual disability, primary ciliary dyskinesia, Marfan syndrome/aortic aneurysms, cardiomyopathies and arrhythmias.
When assessing coverage among 100 individual WES samples for each pathogenic variant (153,300 individual assessments), 99.7% (n = 152,798) would likely have been detected on WES. All pathogenic variants had at least some coverage on exome sequencing, with a total of 97.3% (n = 1491) detectable across all 100 individuals. For the remaining 42 pathogenic variants, the number of WES samples with adequate coverage ranged from 35 to 99. Factors such as location in GC-rich, repetitive, or homologous regions likely explain why some of these alterations were not detected across all samples. To validate study findings, a similar analysis was performed against coverage data from 60,706 exomes available through the Exome Aggregation Consortium (ExAC). Results from this validation confirmed that 98.6% (91,743,296/93,062,298) of pathogenic variants demonstrated adequate depth for detection.
Results from this in silico analysis suggest that exome sequencing may achieve a diagnostic yield similar to panel-based testing for Mendelian diseases.
随着基于新一代测序(NGS)的临床基因检测的普及,寻求对孟德尔疾病患者进行检测的临床医生在考虑其一线检测方法时,必须权衡靶向基因panel的卓越覆盖范围与全外显子组测序(WES)中包含的更多基因数量。在此,我们使用计算机模拟分析,以在靶向NGS panel上鉴定出的致病变异作为参考,预测WES的分析灵敏度。
在我们实验室的靶向NGS多基因panel检测中鉴定为致病或可能致病的1533种不同改变的相应核苷酸位置,在100个随机选择的临床WES样本的数据中进行查询,以量化每个位置的序列覆盖度。致病变异代表涉及遗传性癌症、X连锁智力障碍、原发性纤毛运动障碍、马凡综合征/主动脉瘤、心肌病和心律失常的91个基因。
在评估每个致病变异(153,300次个体评估)在100个个体WES样本中的覆盖度时,99.7%(n = 152,798)可能在WES上被检测到。所有致病变异在外显子组测序上至少有一定覆盖度,在所有100个个体中共有97.3%(n = 1491)可被检测到。对于其余42个致病变异,具有足够覆盖度的WES样本数量范围为35至99。诸如位于富含GC、重复或同源区域等因素可能解释了为什么其中一些改变并非在所有样本中都能检测到。为了验证研究结果,针对通过外显子组聚合联盟(ExAC)获得的60,706个外显子组的覆盖度数据进行了类似分析。该验证结果证实,98.6%(91,743,296/93,062,298)的致病变异显示出足够的深度以供检测。
该计算机模拟分析结果表明,外显子组测序对于孟德尔疾病可能实现与基于panel检测相似的诊断率。