Benchmarking Q40 sequencing for sensitive and efficient detection of rare genomic variants
BACKGROUND: Phred quality score (Q score) is critical for sequencing accuracy, yet the impact of Q40-achieving sequencing technologies (99.99% accuracy) on detecting subtle biological variations remains unvalidated. RESULTS: Using a comprehensive set of well-established DNA/RNA reference materials (Quartet, NIST-RM8398, SEQC2-HCC1395/BL, MAQC, and ERCC), we benchmarked Q40 sequencing (Element AVITI) against the conventional Q30 standard (Illumina NovaSeq 6000). Q40 reduced required sequencing depth by 33.3% while maintaining accuracy for germline variants (20 × vs. 30 ×) and somatic single-nucleotide variant/insertion-deletion (SNV/InDel) (60 × vs. 90 ×). Crucially, Q40 enhanced sensitivity for low-frequency somatic mutations (variant allele frequency, VAF ≤ 0.2) by 33.3% and sixfold higher copy number variation (CNV) detection reproducibility (60.3% vs. 10.4%) with Q40 at 30 × depth, directly reducing per-sample volumes by 33.3-60% and theoretically reducing sequencing costs by 2.2-31.7%. In addition, Q40 improved the discriminatory resolution between biological samples with 13.1% signal-to-noise ratio (SNR) enhancement. CONCLUSIONS: Taken together, our findings establish the value of Q40 sequencing as a sensitive and cost-effective method for low-frequency variant detection. While this positions it as a promising tool for precision oncology, its performance in real-world clinical applications remains to be evaluated in future studies.
Authors
- Yuanting Zheng (ORCID: https://orcid.org/0000-0003-4480-8303)
- Xiaorou Guo (ORCID: https://orcid.org/0009-0004-7163-9562)
- Qingwang Chen (ORCID: https://orcid.org/0000-0002-7191-5801)
- Zhiyin An
- Yaqing Liu (ORCID: https://orcid.org/0000-0001-9356-9164)
- Qiaochu Chen (ORCID: https://orcid.org/0000-0002-7384-7574)
- Lianhua Dong (ORCID: https://orcid.org/0000-0002-8609-9552)
- Ruiwen Ma (ORCID: https://orcid.org/0009-0008-4559-4953)
- Shumeng Duan
- Y P Yu
- L Shi
- Yanming Xie
Institutions
- Fudan University (CN)
- Fudan University Shanghai Cancer Center (CN)
- Shanghai Institutes for International Studies (CN)
- National Institute of Metrology (CN)
Publication Details
- Journal
- Genome biology
- Published
- 2026-06-12
- DOI
- https://doi.org/10.1186/s13059-026-04146-3
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Higher Education Discipline Innovation Project
- National Key Research and Development Program of China