Moon Youngbeen, Hong Chung Hwan, Kim Young-Ho, Kim Jong-Kwang, Ye Seo-Hyeon, Kang Eun-Kyung, Choi Hye Won, Cho Hyeri, Choi Hana, Lee Dong-Eun, Choi Yongdoo, Kim Tae-Min, Heo Seong Gu, Han Namshik, Hong Kyeong-Man
Bioinformatics Analysis Team, Research Core Center, Research Institute, National Cancer Center, Goyang 10408, Gyeonggi-do, Republic of Korea.
Cancer Molecular Biology Branch, Division of Cancer Biology, Research Institute, National Cancer Center, Goyang 10408, Gyeonggi-do, Republic of Korea.
Int J Mol Sci. 2024 Dec 10;25(24):13250. doi: 10.3390/ijms252413250.
The cost-effectiveness of whole exome sequencing (WES) remains controversial due to variant call variability, necessitating sensitivity and specificity evaluation. WES was performed by three companies (AA, BB, and CC) using reference standards composed of DNA from hydatidiform mole and individual blood at various ratios. Sensitivity was assessed by the detection rate of null-homozygote (N-H) alleles at expected variant allelic fractions, while false positive (FP) errors were counted for unexpected alleles. Sensitivity was approximately 20% for in-house results from BB and CC and around 5% for AA. Dynamic Read Analysis for GENomics (DRAGEN) analyses identified 1.34 to 1.71 times more variants, detecting over 96% of in-house variants, with sensitivity for common variants increasing to 5%. In-house FP errors varied significantly among companies (up to 13.97 times), while DRAGEN minimized this variation. Despite DRAGEN showing higher FP errors for BB and CC, the increased sensitivity highlights the importance of effective bioinformatic conditions. We also assessed the potential effects of target enrichment and proposed optimal cutoff values for the read depth and variant allele fraction in WES. Optimizing bioinformatic analysis based on sensitivity and specificity from reference standards can enhance variant detection and improve the clinical utility of WES.
由于变异调用的可变性,全外显子组测序(WES)的成本效益仍存在争议,因此需要进行敏感性和特异性评估。由三家公司(AA、BB和CC)使用由不同比例的葡萄胎DNA和个体血液组成的参考标准进行WES。通过在预期变异等位基因分数下检测纯合子(N-H)等位基因的检出率来评估敏感性,同时对意外等位基因计算假阳性(FP)错误。BB和CC的内部结果敏感性约为20%,AA的敏感性约为5%。基因组动态读取分析(DRAGEN)分析识别出的变异多1.34至1.71倍,检测出超过96%的内部变异,常见变异的敏感性提高到5%。各公司之间的内部FP错误差异显著(高达13.97倍),而DRAGEN将这种差异最小化。尽管DRAGEN显示BB和CC的FP错误较高,但敏感性的提高凸显了有效生物信息学条件的重要性。我们还评估了目标富集的潜在影响,并提出了WES中读取深度和变异等位基因分数的最佳截止值。基于参考标准的敏感性和特异性优化生物信息学分析可以增强变异检测并提高WES的临床实用性。