SomaMutDB: A database of somatic mutations in normal human tissues

Shixiang Sun, Yujue Wang, Alexander Y. Maslov, Xiao Dong, Jan Vijg

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

De novo mutations, a consequence of errors in DNA repair or replication, have been reported to accumulate with age in normal tissues of humans and model organisms. This accumulation during development and aging has been implicated as a causal factor in aging and age-related pathology, including but not limited to cancer. Due to their generally very low abundance mutations have been difficult to detect in normal tissues. Only with recent advances in DNA sequencing of single-cells, clonal lineages or ultra-high-depth sequencing of small tissue biopsies, somatic mutation frequencies and spectra have been unveiled in several tissue types. The rapid accumulation of such data prompted us to develop a platform called SomaMutDB (https://vijglab.einsteinmed.org/SomaMutDB) to catalog the 2.42 million single nucleotide variations (SNVs) and 0.12 million small insertions and deletions (INDELs) thus far identified using these advanced methods in nineteen human tissues or cell types as a function of age or environmental stress conditions. SomaMutDB employs a user-friendly interface to display and query somatic mutations with their functional annotations. Moreover, the database provides six powerful tools for analyzing mutational signatures associated with the data. We believe such an integrated resource will prove valuable for understanding somatic mutations and their possible role in human aging and age-related diseases.

Original languageEnglish (US)
Pages (from-to)D1100-D1108
JournalNucleic acids research
Volume50
Issue numberD1
DOIs
StatePublished - Jan 7 2022

ASJC Scopus subject areas

  • Genetics

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