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How Much of the Variation in the Mutation Rate Along the Human Genome Can Be Explained?
It has been claimed recently that it may be possible to predict the rate of de novo mutation of each site in the human genome with a high degree of accuracy [Michaelson et al. (2012), Cell 151: 1431−1442]. We show that this claim is unwarranted. By considering the correlation between the rate of de...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169158/ https://www.ncbi.nlm.nih.gov/pubmed/24996580 http://dx.doi.org/10.1534/g3.114.012849 |
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author | Eyre-Walker, Adam Eyre-Walker, Ying Chen |
author_facet | Eyre-Walker, Adam Eyre-Walker, Ying Chen |
author_sort | Eyre-Walker, Adam |
collection | PubMed |
description | It has been claimed recently that it may be possible to predict the rate of de novo mutation of each site in the human genome with a high degree of accuracy [Michaelson et al. (2012), Cell 151: 1431−1442]. We show that this claim is unwarranted. By considering the correlation between the rate of de novo mutation and the predictions from the model of Michaelson et al., we show there could be substantial unexplained variance in the mutation rate. We investigate whether the model of Michaelson et al. captures variation at the single nucleotide level that is not due to simple context. We show that the model captures a substantial fraction of this variation at CpG dinucleotides but fails to explain much of the variation at non-CpG sites. |
format | Online Article Text |
id | pubmed-4169158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-41691582014-09-24 How Much of the Variation in the Mutation Rate Along the Human Genome Can Be Explained? Eyre-Walker, Adam Eyre-Walker, Ying Chen G3 (Bethesda) Investigations It has been claimed recently that it may be possible to predict the rate of de novo mutation of each site in the human genome with a high degree of accuracy [Michaelson et al. (2012), Cell 151: 1431−1442]. We show that this claim is unwarranted. By considering the correlation between the rate of de novo mutation and the predictions from the model of Michaelson et al., we show there could be substantial unexplained variance in the mutation rate. We investigate whether the model of Michaelson et al. captures variation at the single nucleotide level that is not due to simple context. We show that the model captures a substantial fraction of this variation at CpG dinucleotides but fails to explain much of the variation at non-CpG sites. Genetics Society of America 2014-07-03 /pmc/articles/PMC4169158/ /pubmed/24996580 http://dx.doi.org/10.1534/g3.114.012849 Text en Copyright © 2014 Eyre-Walker and Eyre-Walker http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations Eyre-Walker, Adam Eyre-Walker, Ying Chen How Much of the Variation in the Mutation Rate Along the Human Genome Can Be Explained? |
title | How Much of the Variation in the Mutation Rate Along the Human Genome Can Be Explained? |
title_full | How Much of the Variation in the Mutation Rate Along the Human Genome Can Be Explained? |
title_fullStr | How Much of the Variation in the Mutation Rate Along the Human Genome Can Be Explained? |
title_full_unstemmed | How Much of the Variation in the Mutation Rate Along the Human Genome Can Be Explained? |
title_short | How Much of the Variation in the Mutation Rate Along the Human Genome Can Be Explained? |
title_sort | how much of the variation in the mutation rate along the human genome can be explained? |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169158/ https://www.ncbi.nlm.nih.gov/pubmed/24996580 http://dx.doi.org/10.1534/g3.114.012849 |
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