Lim Min Hui, Kim Juwuk, Tu Zheng Jin, Cheng Yu-Wei
Genomics Core, Shared Laboratory Resource, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.
Department of Laboratory Medicine, Diagnostic Institute, Cleveland Clinic, Cleveland, OH, United States.
J Appl Lab Med. 2025 May 2;10(3):679-690. doi: 10.1093/jalm/jfaf006.
This study evaluates the performance of the Illumina NextSeq™ 550 and the Element Biosciences AVITI™ next-generation sequencing (NGS) system, in detecting single nucleotide variants (SNVs) and gene fusions.
A set of 66 NGS libraries, consisting of 33 DNA, 24 cDNA, and triplicates of 3 control libraries, were prepared from bone marrow samples targeting 63 genes and related fusions, and initially sequenced using the NextSeq 550 in the Cleveland Clinic's molecular diagnostic laboratory. The same libraries were subsequently sequenced on the AVITI. The resulting data were analyzed using a combination of Cleveland Clinic developed pipelines and ArcherDx virtual machine software.
The study found that all 105 SNVs and 39 gene fusions identified by the NextSeq 550 were also detected in the AVITI, demonstrating a high degree of concordance between the platforms. The analyses revealed R2 values of 0.86 for read depth and 0.96 for VAF of the 105 DNA variants, and 0.95 for read depth and 0.97 for fusion percentage of the 39 fusion variants. In the reproducibility studies, the VAF and fusion percentage of all variants were within 2 standard deviations of the mean when the same positive controls were sequenced 3 times on the AVITI.
These results indicate that the NextSeq 550 and the AVITI provide comparable performance in terms of accuracy and sensitivity for variant detection. Notably, the AVITI chemistry requires substantially lower PhiX input than the NextSeq 550 needs for this application. This results in substantial cost and efficiency benefits.
本研究评估了Illumina NextSeq™ 550和Element Biosciences AVITI™ 下一代测序(NGS)系统在检测单核苷酸变异(SNV)和基因融合方面的性能。
从骨髓样本中制备了一组66个NGS文库,其中包括33个DNA文库、24个cDNA文库以及3个对照文库的重复样本,这些文库针对63个基因及相关融合基因,最初在克利夫兰诊所的分子诊断实验室使用NextSeq 550进行测序。随后,相同的文库在AVITI上进行测序。使用克利夫兰诊所开发的流程和ArcherDx虚拟机软件对所得数据进行分析。
研究发现,NextSeq 550识别出的所有105个SNV和39个基因融合在AVITI中也被检测到,这表明两个平台之间具有高度一致性。分析显示,105个DNA变异的读取深度R2值为0.86,变异等位基因频率(VAF)的R2值为0.96;39个融合变异的读取深度R2值为0.95,融合百分比的R2值为0.97。在重复性研究中,当相同的阳性对照在AVITI上测序3次时,所有变异的VAF和融合百分比均在平均值的2个标准差范围内。
这些结果表明,NextSeq 550和AVITI在变异检测的准确性和灵敏度方面具有可比的性能。值得注意的是,对于此应用,AVITI化学方法所需的PhiX输入比NextSeq 550低得多。这带来了显著的成本和效率优势。