It is argued that population genetics provides the mathematical framework needed to extract evolutionary dynamics from cancer genomes and it is shown how models of mutation, selection and drift transform allele frequencies from descriptive measurements into quantitative estimates of clonal fitness and evolutionary timings.
Cancer is a disease of somatic evolution driven by the sequential acquisition of genetic alterations that confer reproductive advantage. Understanding how tumors grow, diversify, and adapt to therapeutic pressure requires an integrated framework spanning evolutionary genomics, population genetics, and dynamical systems...
Wei Li, Xiao-Tong Wang· Infection, Genetics and Evol...· 0 citations
The current state of knowledge about the impact of selection on human genomic diversity is reviewed and conceptual advances in the understanding of human evolution over the past 10,000 years are highlighted.
P. Skoglund, I. Mathieson· Nature reviews genetics· 0 citations
In a recent study published in Nature, Aitken and colleagues experimentally replayed liver tumour evolution across divergent mouse genetic backgrounds and showed that the inherited genome does not merely modify cancer susceptibility. Instead, it determines which somatic drivers are selected, whether whole-genome duplic...
Seung-Jae Lee, Jaehoon Bae· Signal Transduction and Targ...· 0 citations
The propensity for accumulating somatic mutations varies along the genome, which critically influences somatic mosaicism, tumor evolution and the potential role of somatic mutations in the context of age-associated diseases. Genomic factors contributing to the variability of mutation rates have been established, includ...
Corinna L. Schmalohr, Yashna Paul, Nina Bundschuh et al.· Genome Biology· 0 citations
Abstract Motivation Phylogenetics faces a growing challenge from increasingly large and complicated data sets enabled by ever-improving sequencing technologies. The issue is particularly acute for somatic evolution studies, such as cancer cell lineages, where single-cell data sets may include tens of thousands of mutat...
N. Bristy, Russell Schwartz· Bioinformatics Advances· 0 citations
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