SomaMutDB 2.0: A comprehensive database for exploring somatic mutations and their functional impact in normal human tissues

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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Publication Details

Journal
Nucleic Acids Research
Published
2025-11-26
DOI
https://doi.org/10.1093/nar/gkaf1297
Primary Topic
Cancer Genomics and Diagnostics
Type
article
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article

SomaMutDB 2.0: A comprehensive database for exploring somatic mutations and their functional impact in normal human tissues

Jan Vijg, Xiao Ping Dong, Anthony Shea, Shixiang Sun et al.
Nucleic Acids Research
Cancer Genomics and Diagnostics
article

SomaMutDB 2.0: A comprehensive database for exploring somatic mutations and their functional impact in normal human tissues

Jan Vijg, Xiao Ping Dong, Anthony Shea, Shixiang Sun, Lei Zhang, Justin Kennedy
article en

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.

Nucleic Acids ResearchVol. 54(D1)
Albert Einstein College of Medicine (US), University of Minnesota (US)
Openalex Percentile: Top 55%
Cancer Genomics and Diagnostics
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SomaMutDB 2.0: A comprehensive database for exploring somatic mutations and their functional impact in normal human tissues — Jan Vijg, Xiao Ping Dong, et al. · Nucleic Acids Research (2025) | TGRS Research Map | TGRS