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RESEARCH PAPER / 2025-09-16

A Universal Duplex Sequencing Approach for Accurate Detection of Somatic Mutations

Nandi, S., Cheng, Y., Al-Azzam, S., Saeed, S., Kristin, A., Sunico, N., Stuewe, I., Jiang, Z., Culibrk, L., Zhivagui, M., Yang, X., Wise, R., Jacobs, F., Chavanel, B., Korenjak, M., Petljak, M., Balbo, S., Hudson, L. G., Liu, K. J., Zavadil, J., Gleeson, J. G., Alexandrov, L. B.

UC San DiegoUC San Diego · biorxiv

Abstract

Ultra-accurate detection of rare somatic mutations is critical for understanding mutational processes in human disease, aging, and environmental exposures, yet current methods are limited by error rates, restricted genome coverage, and high DNA input. We present UDSeq, a duplex sequencing protocol combining random fragmentation, efficient UMI ligation, and quantitative input control to achieve near-complete genome/exome representation from as little as 100 pg DNA. Benchmarking in human sperm estimates a UDSeq error rate of ~2.5x10^-9 per base pair. UDSeq captures mutational signatures from heterogeneous populations without clonal expansion, reproduces exposure-specific patterns in cell lines and rodent models, and enables cross-species profiling. Compared with prior duplex methods, UDSeq yields up to fourfold more usable duplex molecules, improves library conversion, and remains cost-effective. We include a step-by-step protocol with quality-control checkpoints for fragment size, ligation yield, library conversion, and duplication rate. UDSeq provides a scalable, low-input platform for accurate profiling of somatic mutagenesis.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

UDSeq is a novel duplex sequencing protocol that significantly improves the detection of rare somatic mutations. The paper is relevant as it addresses the underlying mutational processes that contribute to aging and age-related diseases, potentially providing insights into the mechanisms of somatic mutagenesis in the context of longevity research.

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