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De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007577/ https://www.ncbi.nlm.nih.gov/pubmed/31964835 http://dx.doi.org/10.1073/pnas.1902766117 |
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author | Kessler, Michael D. Loesch, Douglas P. Perry, James A. Heard-Costa, Nancy L. Taliun, Daniel Cade, Brian E. Wang, Heming Daya, Michelle Ziniti, John Datta, Soma Celedón, Juan C. Soto-Quiros, Manuel E. Avila, Lydiana Weiss, Scott T. Barnes, Kathleen Redline, Susan S. Vasan, Ramachandran S. Johnson, Andrew D. Mathias, Rasika A. Hernandez, Ryan Wilson, James G. Nickerson, Deborah A. Abecasis, Goncalo Browning, Sharon R. Zöllner, Sebastian O’Connell, Jeffrey R. Mitchell, Braxton D. O’Connor, Timothy D. |
author_facet | Kessler, Michael D. Loesch, Douglas P. Perry, James A. Heard-Costa, Nancy L. Taliun, Daniel Cade, Brian E. Wang, Heming Daya, Michelle Ziniti, John Datta, Soma Celedón, Juan C. Soto-Quiros, Manuel E. Avila, Lydiana Weiss, Scott T. Barnes, Kathleen Redline, Susan S. Vasan, Ramachandran S. Johnson, Andrew D. Mathias, Rasika A. Hernandez, Ryan Wilson, James G. Nickerson, Deborah A. Abecasis, Goncalo Browning, Sharon R. Zöllner, Sebastian O’Connell, Jeffrey R. Mitchell, Braxton D. O’Connor, Timothy D. |
author_sort | Kessler, Michael D. |
collection | PubMed |
description | 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 (h(2)), which suggest that variation in DNM rate is significantly shaped by nonadditive genetic effects and the environment. |
format | Online Article Text |
id | pubmed-7007577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-70075772020-02-18 De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population Kessler, Michael D. Loesch, Douglas P. Perry, James A. Heard-Costa, Nancy L. Taliun, Daniel Cade, Brian E. Wang, Heming Daya, Michelle Ziniti, John Datta, Soma Celedón, Juan C. Soto-Quiros, Manuel E. Avila, Lydiana Weiss, Scott T. Barnes, Kathleen Redline, Susan S. Vasan, Ramachandran S. Johnson, Andrew D. Mathias, Rasika A. Hernandez, Ryan Wilson, James G. Nickerson, Deborah A. Abecasis, Goncalo Browning, Sharon R. Zöllner, Sebastian O’Connell, Jeffrey R. Mitchell, Braxton D. O’Connor, Timothy D. Proc Natl Acad Sci U S A PNAS Plus 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 (h(2)), which suggest that variation in DNM rate is significantly shaped by nonadditive genetic effects and the environment. National Academy of Sciences 2020-02-04 2020-01-21 /pmc/articles/PMC7007577/ /pubmed/31964835 http://dx.doi.org/10.1073/pnas.1902766117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | PNAS Plus Kessler, Michael D. Loesch, Douglas P. Perry, James A. Heard-Costa, Nancy L. Taliun, Daniel Cade, Brian E. Wang, Heming Daya, Michelle Ziniti, John Datta, Soma Celedón, Juan C. Soto-Quiros, Manuel E. Avila, Lydiana Weiss, Scott T. Barnes, Kathleen Redline, Susan S. Vasan, Ramachandran S. Johnson, Andrew D. Mathias, Rasika A. Hernandez, Ryan Wilson, James G. Nickerson, Deborah A. Abecasis, Goncalo Browning, Sharon R. Zöllner, Sebastian O’Connell, Jeffrey R. Mitchell, Braxton D. O’Connor, Timothy D. De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population |
title | De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population |
title_full | De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population |
title_fullStr | De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population |
title_full_unstemmed | De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population |
title_short | De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population |
title_sort | de novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the amish founder population |
topic | PNAS Plus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007577/ https://www.ncbi.nlm.nih.gov/pubmed/31964835 http://dx.doi.org/10.1073/pnas.1902766117 |
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