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dc.contributor.authorWilliams, MJ
dc.contributor.authorZapata, L
dc.contributor.authorWerner, B
dc.contributor.authorBarnes, CP
dc.contributor.authorSottoriva, A
dc.contributor.authorGraham, TA
dc.date.accessioned2020-06-01T14:44:32Z
dc.date.available2020-03-09
dc.date.available2020-06-01T14:44:32Z
dc.date.issued2020-03-30
dc.identifier.citationeLife 2020;9:e48714 DOI: 10.7554/eLife.48714en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/64534
dc.description.abstractThe 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.en_US
dc.languageeng
dc.language.isoenen_US
dc.publishereLife Sciences Publications Ltden_US
dc.relation.ispartofElife
dc.rightsCreative Commons Attribution License
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectcancer evolutionen_US
dc.subjectcomputational biologyen_US
dc.subjectdistribution of fitness effectsen_US
dc.subjectdn/dsen_US
dc.subjectgeneticsen_US
dc.subjectgenomicsen_US
dc.subjecthumanen_US
dc.subjectpopulation geneticsen_US
dc.subjectsomatic evolutionen_US
dc.subjectsystems biologyen_US
dc.titleMeasuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios.en_US
dc.typeArticleen_US
dc.rights.holder(c) Williams et al.
dc.identifier.doi10.7554/eLife.48714
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/32223898en_US
pubs.notesNot knownen_US
pubs.publication-statusPublished onlineen_US
pubs.volume9en_US
dcterms.dateAccepted2020-03-09
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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