ReviewTrends in genetics : TIG2018
Detecting Somatic Mutations in Normal Cells.
Review in Trends in genetics : TIG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
85 citing papers in PubMed.
- Beyond two alleles: multiallelic genotypic selection and its estimation from time-series data.BMC genomics · 2026Article
- Phylogenetic and phylodynamic approaches to understanding the evolution of non-small cell lung cancer using single-cell sequencing.Oncogene · 2026Article
- Genetic and genomic insights across the steatotic liver disease spectrum.Clinical and molecular hepatology · 2026Review
- Landscape of Somatic Mutations in a Large Cohort of Chinese Patients With Immune Dysregulations.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- Atypical Presentation of VEXAS Syndrome Amid Coexisting Comorbidities: Diagnosis by High Depth Targeted Sequencing.International journal of rheumatic diseases · 2026Article
- Article
- Review
- Single-Cell Genomics and Somatic Variation in Circulating and Cardiac Resident Cells.Circulation research · 2026Review
- Next generation sequencing and beyond: a review of genomic sequencing methods.Functional & integrative genomics · 2025Article
- Comprehensive benchmarking of somatic single-nucleotide variant and indel detection at ultra-low allele fractions using short- and long-read data.bioRxiv : the preprint server for biology · 2025Article
- A personalized multi-platform assessment of somatic mosaicism in the human frontal cortex.bioRxiv : the preprint server for biology · 2025Article
- Comprehensive benchmarking of somatic structural variant detection at ultra-low allele fractions.bioRxiv : the preprint server for biology · 2025Article
- A Universal Duplex Sequencing Approach for Accurate Detection of Somatic Mutations.bioRxiv : the preprint server for biology · 2025Article
- Induced somatic mutation accumulation during skeletal muscle regeneration reduces muscle strength.Nature aging · 2025Article
- Mosaic of somatic mutations in one of Earth's largest organisms, Pando.bioRxiv : the preprint server for biology · 2025Article
- GENOMICON-Seq enables realistic simulation of amplicon and exome sequencing for low-frequency mutation detection.Scientific reports · 2025Article
- The Somatic Mosaicism across Human Tissues Network.Nature · 2025Review
- UNISOM: Unified Somatic Calling and Machine Learning-based Classification Enhance the Discovery of CHIP.Genomics, proteomics & bioinformatics · 2025Article
- Mapping assays to the key characteristics of carcinogens to support decision-making.Database : the journal of biological databases and curation · 2025Article
- Reconstructing developmental lineages: a retrospective approach using somatic mutations and variant allele frequency.Frontiers in genetics · 2025Review
25 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Somatic mutations have been studied extensively in the context of cancer. Recent studies have demonstrated that high-throughput sequencing data can be used to detect somatic mutations in non-tumor cells. Analysis of such mutations allows us to better understand the mutational processes in normal cells, explore cell lineages in development, and examine potential associations with age-related disease. We describe here approaches for characterizing somatic mutations in normal and non-tumor disease tissues. We discuss several experimental designs and common pitfalls in somatic mutation detection, as well as more recent developments such as phasing and linked-read technology. With the dramatically increasing numbers of samples undergoing genome sequencing, bioinformatic analysis will enable the characterization of somatic mutations and their impact on non-cancer tissues.
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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 OpenQuestion graph.