De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population

Abstract: De novo mutations (DNMs), or mutations that appear in an individual despite not being seen in their parents, are an important source of genetic variation whose impact is relevant to studies of human evolution, genetics, and disease. Utilizing high-coverage whole-genome sequencing data as part of the Trans-Omics for Precision Medicine (TOPMed) Program, we called 93,325 single-nucleotide DNMs across 1,465 trios from an array of diverse human populations, and used them to directly estimate and analyze DNM counts, rates, and spectra. We find a significant positive correlation between local recombination rate and local DNM rate, and that DNM rate explains a substantial portion (8.98 to 34.92%, depending on the model) of the genome-wide variation in population-level genetic variation from 41K unrelated TOPMed samples. Genome-wide heterozygosity does correlate with DNM rate, but only explains <1% of variation. While we are underpowered to see small differences, we do not find significant differences in DNM rate between individuals of European, African, and Latino ancestry, nor across ancestrally distinct segments within admixed individuals. However, we did find significantly fewer DNMs in Amish individuals, even when compared with other Europeans, and even after accounting for parental age and sequencing center. Specifically, we found significant reductions in the number of C→A and T→C mutations in the Amish, which seem to underpin their overall reduction in DNMs. Finally, we calculated near-zero estimates of narrow sense heritability (h2), which suggest that variation in DNM rate is significantly shaped by nonadditive genetic effects and the environment

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
Proceedings of the National Academy of Sciences of the United States of America. - 117, 5 (2020) , 2560-2569, ISSN: 1091-6490

Ereignis
Veröffentlichung
(wo)
Freiburg
(wer)
Universität
(wann)
2021
Urheber
Kessler, Michael D.
O’Connor, Timothy D.
Köttgen, Anna
National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) Consortium
TOPMed Population Genetics Working Group

DOI
10.1073/pnas.1902766117
URN
urn:nbn:de:bsz:25-freidok-1758422
Rechteinformation
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Letzte Aktualisierung
25.03.2025, 13:49 MEZ

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Beteiligte

  • Kessler, Michael D.
  • O’Connor, Timothy D.
  • Köttgen, Anna
  • National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) Consortium
  • TOPMed Population Genetics Working Group
  • Universität

Entstanden

  • 2021

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