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Motif-Centered Analyses Reveal Universal and Tissue-Specific Mutagenic Mechanisms Operating in the Human Body.
Safia Mahabub Sauty1, Yun-Chung Hsiao1, Leszek J Klimczak2
1Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, Durham, NC 27709.
Biorxiv : the Preprint Server for Biology
|February 27, 2026
Summary
Somatic mutations occur in normal human cells, with clock-like deamination and epoxide exposures contributing to mutagenesis across tissues. UV radiation mutates skin, while APOBEC enzymes affect organs like the bladder and lung.
Area of Science:
- Genomics
- Cancer Research
- Molecular Biology
Background:
- Somatic mutations are fundamental to human genome evolution and cancer development.
- Understanding baseline mutagenesis in normal, non-cancerous cells is crucial but remains poorly characterized.
Purpose of the Study:
- To analyze mutation profiles in a large cohort of normal human tissues to identify ongoing mutagenic processes.
- To establish a robust framework for detecting and attributing sources of somatic mutations in healthy tissues.
Main Methods:
- Analysis of whole-genome and whole-exome sequencing data from 11,949 normal samples across 25 tissues.
- Application of statistical hypothesis testing and Minimal Estimate of Mutation Load (MEML) to detect enriched trinucleotide motifs.
- Comparison of mutation patterns between healthy and non-cancerous diseased tissues.
Main Results:
- Identified cancer-associated mutational motifs, including clock-like C→T (nCg) and T→C (aTn) substitutions, present in various normal tissues.
- UV-associated mutagenesis (yCn, nTt) was exclusively detected in skin samples.
- APOBEC-induced mutations (C→T, C→G in tCw) were enriched in bladder, lung, liver, breast, and small intestine, with a preference for APOBEC3A.
- Diseased non-cancerous tissues showed higher, age-independent accumulation of aTn and nCg motifs compared to healthy tissues.
Conclusions:
- Elucidated several active mutagenic processes occurring in normal human tissues.
- Provided a validated analytical framework for identifying mutagenic signatures from somatic mutation data.
- Highlighted differences in mutation accumulation between healthy and diseased non-cancerous tissues.
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