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Measuring Microbial Mutation Rates with the Fluctuation Assay
Published on: November 28, 2019
Estimating the human mutation rate from autozygous segments reveals population differences in human mutational
Vagheesh M Narasimhan1, Raheleh Rahbari2, Aylwyn Scally3
1Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK. vagheesh@mail.harvard.edu.
This study estimates the human germ-line mutation rate using exome sequences from British-Pakistani families. The findings suggest post-zygotic mutations have a minimal impact on the germ-line mutation rate.
Area of Science:
- Genetics
- Population Genetics
- Genomics
Background:
- Estimating human mutation rates is crucial for understanding genetic diversity and disease.
- Previous estimates have varied significantly depending on the methodology.
- High parental relatedness within populations offers a unique approach to study de novo mutations.
Purpose of the Study:
- To estimate the germ-line mutation rate in a multi-generational context within a non-European population.
- To investigate the contribution of post-zygotic mutations to the overall mutation rate.
- To identify population-specific mutational processes.
Main Methods:
- Utilized exome sequencing data from 3222 British-Pakistani individuals with high parental relatedness.
- Analyzed heterozygous mutations within homozygous segments to ascertain de novo mutations.
- Calculated mutation and non-crossover gene conversion rates per base pair per generation.
Main Results:
- Estimated a germ-line mutation rate of 1.45 × 10⁻⁸ per base pair per generation.
- Estimated a non-crossover gene conversion rate of 8.75 × 10⁻⁶ per base pair per generation.
- Observed frequent recurrence of mutations at CpG sites and an increase in C to T mutations in a specific context within the Pakistani population.
Conclusions:
- The estimated mutation rate is at the lower end of previous findings, suggesting limited contribution from post-zygotic mutations.
- Evidence suggests rapid evolution of mutational processes between human populations.
- The study highlights the importance of considering population-specific factors in mutation rate estimation.
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