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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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