ArticleNucleic acids research2026
SomaMutDB 2.0: A comprehensive database for exploring somatic mutations and their functional impact in normal human tissues.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Motif-centered analyses reveal universal and tissue-specific mutagenic mechanisms operating in the human body.NAR cancer · 2026Article
- Motif-Centered Analyses Reveal Universal and Tissue-Specific Mutagenic Mechanisms Operating in the Human Body.bioRxiv : the preprint server for biology · 2026Article
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Authors and funding
6 authors.
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Abstract
Recent advances in ultra-accurate sequencing technologies have revealed that somatic mutations accumulate throughout the human lifespan and may contribute to both normal aging and disease. These mutations are highly diverse, often non-recurrent, and functionally heterogeneous, making their biological impact difficult to evaluate systematically. Although many studies have profiled somatic mutations in individual tissues or limited cohorts, a centralized and scalable platform that integrates discoveries and supports functional interpretation has been lacking. To address this gap, we present SomaMutDB 2.0 (https://somamutdb.org/SomaMutDB/), a substantially expanded database cataloging 8.9 million mutations (8.57 million SNVs and 0.29 million INDELs) from 10 852 samples of 607 human subjects across 47 studies. Beyond expanded data coverage, SomaMutDB 2.0 introduces a comprehensive functional annotation framework applying 22 predictive models spanning coding, regulatory, expression-based, and ensemble predictors to systematically assess mutational impact. Users can browse pre-annotated variants through an interactive interface or upload their own variants for real-time analysis. Notably, all results are contextualized against mutations from normal, non-diseased tissues in the database, enabling more meaningful interpretation than raw scores alone. Together, these advances establish SomaMutDB 2.0 as the most comprehensive resource currently available for characterizing somatic mosaicism and its functional impact on human health and aging.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.