category
bioRxiv
date
Mar 2, 2026
slug
status
Published
summary
首次系统比较了Ultima UG100与Illumina NovaSeqX平台的全基因组测序错误特征,发现UG100在同聚物区段、GC富集区及读长末端存在显著错误率差异,并揭示高置信度区域(UG HCR)排除临床相关变异的潜在影响。
tags
测序技术
type
Post
📄 原文题目
Whole-genome benchmarking reveals context-specific error rates in the Ultima UG100 and Illumina NovaSeqX Platforms.
🔗 原文链接
💡 AI 核心解读
首次系统比较了Ultima UG100与Illumina NovaSeqX平台的全基因组测序错误特征,发现UG100在同聚物区段、GC富集区及读长末端存在显著错误率差异,并揭示高置信度区域(UG HCR)排除临床相关变异的潜在影响。
📝 英文原版摘要
Whole genome sequencing (WGS) is becoming more common in research and clinical applications, but there is a paucity of comparative data between high-throughput WGS platforms. We benchmarked the Ultima Genomics UG100 system against Illumina NovaSeqX using the Genome in a Bottle (GIAB) WGS reference set sample HG002. Across NIST v4.2.1 benchmark regions, UG100 exhibited higher total variant-calling errors (27x), primarily driven by indel false negatives. Restricting the Ultima Genomics high confidence regions (UG HCR v3.1, 90.3% of GRCh38) reduced the error burden by 89.6%, indicating most errors lie outside these regions. Strong degradation of variant calling performances occurred in homopolymer tracts > 10 bp, and base calling error rates increased sharply after position 200 bp within each read, whereas Illumina error rates were higher earlier in the read. Coverage dropouts in UG100 data were pronounced in GC-rich regions. Of note, 2.24% of ClinVar Pathogenic and Likely Pathogenic variants and 22.6% of a common catalogue of polymorphic STRs were found to be excluded from UG HCR v3.1, indicating potential impact to clinical applications. These results highlight context-specific genotyping errors of the UG100 and NovaSeqX platforms, and underscore the importance of whole genome benchmarking for adjudicating accuracy of NGS platforms beyond the current HG002 reference set.
- 作者:NotionNext
- 链接:https://tangly1024.com/article/31748bd6-1f96-81fe-824d-cadcd97503e6
- 声明:本文采用 CC BY-NC-SA 4.0 许可协议,转载请注明出处。
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