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.

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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

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article

Benchmarking Q40 sequencing for sensitive and efficient detection of rare genomic variants

Yuanting Zheng, Xiaorou Guo, Qingwang Chen, Zhiyin An et al.
Genome biology
Cancer Genomics and Diagnostics
article

Benchmarking Q40 sequencing for sensitive and efficient detection of rare genomic variants

Yuanting Zheng, Xiaorou Guo, Qingwang Chen, Zhiyin An, Yaqing Liu, Qiaochu Chen, Lianhua Dong, Ruiwen Ma, Shumeng Duan, Y P Yu, L Shi, Yanming Xie
article en

Abstract

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.

Genome biology
Fudan University (CN), Fudan University Shanghai Cancer Center (CN), Shanghai Institutes for International Studies (CN), National Institute of Metrology (CN)
National Natural Science Foundation of China, Higher Education Discipline Innovation Project, National Key Research and Development Program of China
Reduced inequalities
Openalex Percentile: Top 7%
Cancer Genomics and Diagnostics
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