Comparison of Tug-of-War Models Assuming Moran versus Branching Process Population Dynamics
Dinh, K. N.; Kurpas, M. K.; Kimmel, M.
Show abstract
Mutations arising during cancer evolution are typically categorized as either drivers or passengers, depending on whether they increase the cell fitness. Recently, McFarland et al. introduced the Tug-of-War model for the joint effect of rare advantageous drivers and frequent but deleterious passengers. We examine this model under two common but distinct frameworks, the Moran model and the branching process. We show that frequently used statistics are similar between a version of the Moran model and the branching process conditioned on the final cell count, under different selection scenarios. We infer the selection coefficients for three breast cancer samples, resulting in good fits of the shape of their Site Frequency Spectra. All fitted values for the selective disadvantage of passenger mutations are nonzero, supporting the view that they exert deleterious selection during tumorigenesis that driver mutations must compensate.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Conflicting effects of recombination on the evolvability and robustness in neutrally evolving populations 98%
- Mutant fate in spatially structured populations on graphs: connecting models to experiments 97%
- Intra-tumor heterogeneity, turnover rate and karyotype space shape susceptibility to missegregation-induced extinction 97%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.