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Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios
The distribution of fitness effects (DFE) defines how new mutations spread through an evolving population. The ratio of non-synonymous to synonymous mutations (dN/dS) has become a popular method to detect selection in somatic cells. However the link, in somatic evolution, between dN/dS values and fi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105384/ https://www.ncbi.nlm.nih.gov/pubmed/32223898 http://dx.doi.org/10.7554/eLife.48714 |
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author | Williams, Marc J Zapata, Luis Werner, Benjamin Barnes, Chris P Sottoriva, Andrea Graham, Trevor A |
author_facet | Williams, Marc J Zapata, Luis Werner, Benjamin Barnes, Chris P Sottoriva, Andrea Graham, Trevor A |
author_sort | Williams, Marc J |
collection | PubMed |
description | The distribution of fitness effects (DFE) defines how new mutations spread through an evolving population. The ratio of non-synonymous to synonymous mutations (dN/dS) has become a popular method to detect selection in somatic cells. However the link, in somatic evolution, between dN/dS values and fitness coefficients is missing. Here we present a quantitative model of somatic evolutionary dynamics that determines the selective coefficients of individual driver mutations from dN/dS estimates. We then measure the DFE for somatic mutant clones in ostensibly normal oesophagus and skin. We reveal a broad distribution of fitness effects, with the largest fitness increases found for TP53 and NOTCH1 mutants (proliferative bias 1–5%). This study provides the theoretical link between dN/dS values and selective coefficients in somatic evolution, and measures the DFE of mutations in human tissues. |
format | Online Article Text |
id | pubmed-7105384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-71053842020-04-01 Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios Williams, Marc J Zapata, Luis Werner, Benjamin Barnes, Chris P Sottoriva, Andrea Graham, Trevor A eLife Computational and Systems Biology The distribution of fitness effects (DFE) defines how new mutations spread through an evolving population. The ratio of non-synonymous to synonymous mutations (dN/dS) has become a popular method to detect selection in somatic cells. However the link, in somatic evolution, between dN/dS values and fitness coefficients is missing. Here we present a quantitative model of somatic evolutionary dynamics that determines the selective coefficients of individual driver mutations from dN/dS estimates. We then measure the DFE for somatic mutant clones in ostensibly normal oesophagus and skin. We reveal a broad distribution of fitness effects, with the largest fitness increases found for TP53 and NOTCH1 mutants (proliferative bias 1–5%). This study provides the theoretical link between dN/dS values and selective coefficients in somatic evolution, and measures the DFE of mutations in human tissues. eLife Sciences Publications, Ltd 2020-03-30 /pmc/articles/PMC7105384/ /pubmed/32223898 http://dx.doi.org/10.7554/eLife.48714 Text en © 2020, Williams et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Williams, Marc J Zapata, Luis Werner, Benjamin Barnes, Chris P Sottoriva, Andrea Graham, Trevor A Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios |
title | Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios |
title_full | Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios |
title_fullStr | Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios |
title_full_unstemmed | Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios |
title_short | Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios |
title_sort | measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dn/ds ratios |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105384/ https://www.ncbi.nlm.nih.gov/pubmed/32223898 http://dx.doi.org/10.7554/eLife.48714 |
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