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Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes
Multi-nucleotide variants (MNVs), defined as two or more nearby variants existing on the same haplotype in an individual, are a clinically and biologically important class of genetic variation. However, existing tools typically do not accurately classify MNVs, and understanding of their mutational o...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253413/ https://www.ncbi.nlm.nih.gov/pubmed/32461613 http://dx.doi.org/10.1038/s41467-019-12438-5 |
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author | Wang, Qingbo Pierce-Hoffman, Emma Cummings, Beryl B. Alföldi, Jessica Francioli, Laurent C. Gauthier, Laura D. Hill, Andrew J. O’Donnell-Luria, Anne H. Karczewski, Konrad J. MacArthur, Daniel G. |
author_facet | Wang, Qingbo Pierce-Hoffman, Emma Cummings, Beryl B. Alföldi, Jessica Francioli, Laurent C. Gauthier, Laura D. Hill, Andrew J. O’Donnell-Luria, Anne H. Karczewski, Konrad J. MacArthur, Daniel G. |
author_sort | Wang, Qingbo |
collection | PubMed |
description | Multi-nucleotide variants (MNVs), defined as two or more nearby variants existing on the same haplotype in an individual, are a clinically and biologically important class of genetic variation. However, existing tools typically do not accurately classify MNVs, and understanding of their mutational origins remains limited. Here, we systematically survey MNVs in 125,748 whole exomes and 15,708 whole genomes from the Genome Aggregation Database (gnomAD). We identify 1,792,248 MNVs across the genome with constituent variants falling within 2 bp distance of one another, including 18,756 variants with a novel combined effect on protein sequence. Finally, we estimate the relative impact of known mutational mechanisms - CpG deamination, replication error by polymerase zeta, and polymerase slippage at repeat junctions - on the generation of MNVs. Our results demonstrate the value of haplotype-aware variant annotation, and refine our understanding of genome-wide mutational mechanisms of MNVs. |
format | Online Article Text |
id | pubmed-7253413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72534132020-06-05 Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes Wang, Qingbo Pierce-Hoffman, Emma Cummings, Beryl B. Alföldi, Jessica Francioli, Laurent C. Gauthier, Laura D. Hill, Andrew J. O’Donnell-Luria, Anne H. Karczewski, Konrad J. MacArthur, Daniel G. Nat Commun Article Multi-nucleotide variants (MNVs), defined as two or more nearby variants existing on the same haplotype in an individual, are a clinically and biologically important class of genetic variation. However, existing tools typically do not accurately classify MNVs, and understanding of their mutational origins remains limited. Here, we systematically survey MNVs in 125,748 whole exomes and 15,708 whole genomes from the Genome Aggregation Database (gnomAD). We identify 1,792,248 MNVs across the genome with constituent variants falling within 2 bp distance of one another, including 18,756 variants with a novel combined effect on protein sequence. Finally, we estimate the relative impact of known mutational mechanisms - CpG deamination, replication error by polymerase zeta, and polymerase slippage at repeat junctions - on the generation of MNVs. Our results demonstrate the value of haplotype-aware variant annotation, and refine our understanding of genome-wide mutational mechanisms of MNVs. Nature Publishing Group UK 2020-05-27 /pmc/articles/PMC7253413/ /pubmed/32461613 http://dx.doi.org/10.1038/s41467-019-12438-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wang, Qingbo Pierce-Hoffman, Emma Cummings, Beryl B. Alföldi, Jessica Francioli, Laurent C. Gauthier, Laura D. Hill, Andrew J. O’Donnell-Luria, Anne H. Karczewski, Konrad J. MacArthur, Daniel G. Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes |
title | Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes |
title_full | Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes |
title_fullStr | Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes |
title_full_unstemmed | Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes |
title_short | Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes |
title_sort | landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253413/ https://www.ncbi.nlm.nih.gov/pubmed/32461613 http://dx.doi.org/10.1038/s41467-019-12438-5 |
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