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Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations
Published on: March 29, 2017
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A Universal Duplex Sequencing Approach for Accurate Detection of Somatic Mutations
Shuvro Nandi1,2,3, Yuhe Cheng1,2,3, Shams Al-Azzam1,2,3,4
1Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA.
Biorxiv : the Preprint Server for Biology
|September 26, 2025
Summary
Ultra-accurate detection of rare somatic mutations is now possible with UDSeq (duplex sequencing). This low-input method achieves near-complete genome coverage, enabling precise analysis of mutational processes in disease and aging.
Area of Science:
- Genomics
- Molecular Biology
- Biotechnology
Background:
- Accurate detection of rare somatic mutations is crucial for understanding human disease, aging, and environmental impacts.
- Current sequencing methods face limitations in error rates, genome coverage, and DNA input requirements.
Purpose of the Study:
- To develop a novel duplex sequencing protocol (UDSeq) for ultra-accurate detection of rare somatic mutations.
- To enable comprehensive genomic and exomic profiling with minimal DNA input.
Main Methods:
- UDSeq protocol combines random fragmentation, UMI ligation, and quantitative input control.
- Benchmarking performed on human sperm to estimate error rates.
- Application in cell lines and rodent models to profile exposure-specific mutational patterns.
Main Results:
- UDSeq achieves an estimated error rate of ~2.5×10^-9 per base pair.
- Near-complete genome/exome representation is achieved from as little as 100 pg DNA.
- UDSeq captures mutational signatures from heterogeneous populations and reproduces exposure-specific patterns.
Conclusions:
- UDSeq offers a scalable, low-input platform for accurate somatic mutation profiling.
- The protocol provides improved efficiency and cost-effectiveness compared to previous duplex methods.
- UDSeq facilitates cross-species mutational analysis and detailed study of mutational processes.
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