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Updated: May 26, 2026

Measuring Microbial Mutation Rates with the Fluctuation Assay
Published on: November 28, 2019
A sibling study of variation in parental mutation rates
Vanesa Getseva1, Pelin Poyraz1, Anastasia Stolyarova1
1Department of Biological Sciences, Columbia University, New York, USA.
Researchers identified over 800,000 de novo germline mutations (DNMs) in siblings, revealing that rare genetic variants in DNA repair genes like REV1 and LIG1 can increase germline mutation rates.
Area of Science:
- Genetics
- Genomic Sequencing
- Human Evolution
Background:
- Individuals inherit variable numbers of de novo germline mutations (DNMs), primarily influenced by parental age.
- Additional factors contributing to DNM variability remain incompletely understood.
Purpose of the Study:
- To develop and apply a novel method for identifying DNMs by comparing sibling genomes in regions inherited identically from both parents.
- To investigate the impact of genetic ancestry, smoking status, and parental DNA repair gene variants on DNM rates and spectra.
Main Methods:
- Whole genome sequencing data from 28,985 sibling pairs and 2,330 trios from UK Biobank and All of Us datasets were analyzed.
- A new approach was used to call DNMs based on nucleotide differences in regions identical by descent between siblings.
- Parental mutation phenotypes were characterized, and associations with variants in 180 DNA repair and maintenance genes were tested.
Main Results:
- Over 800,000 autosomal DNMs were identified across the studied sibling pairs.
- No significant differences in total DNM rates were observed across diverse genetic ancestry groups or between smokers and non-smokers.
- Disruptions in the REV1 and LIG1 genes were significantly associated with increased germline mutation rates in parents.
Conclusions:
- Rare, deleterious variants in DNA repair genes, such as REV1 and LIG1, can act as mutator alleles, increasing germline mutation rates.
- These findings highlight the role of specific gene variants beyond parental age in shaping the germline mutation landscape.
- The study identified specific genetic factors that contribute to the observed variability in de novo germline mutations within human populations.
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