Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios Journal Article


Authors: Williams, M. J.; Zapata, L.; Werner, B.; Barnes, C. P.; Sottoriva, A.; Graham, T. A.
Article Title: Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios
Abstract: 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. © 2020, Williams et al.
Keywords: genetics; computational biology; genomics; systems biology; cancer evolution; population genetics; human; somatic evolution; distribution of fitness effects; dn/ds
Journal Title: eLife
Volume: 9
ISSN: 2050-084X
Publisher: eLife Sciences Publications Ltd.  
Date Published: 2020-03-30
Start Page: e48714
Language: English
DOI: 10.7554/eLife.48714
PUBMED: 32223898
PROVIDER: scopus
PMCID: PMC7105384
DOI/URL:
Notes: Article -- Source: Scopus
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