Population size rescaling significantly biases outcomes of forward-in-time population genetic simulations.

ABSTRACT: Simulations are an essential tool in all areas of population genetic research, used in tasks such as the validation of theoretical analysis and the study of complex evolutionary models. Forward-in-time simulations are especially flexible, allowing for various types of natural selection, complex genetic architectures, and non-Wright-Fisher dynamics. However, their intense computational requirements can be prohibitive to simulating large populations and genomes. A popular method to alleviate this burden is to scale down the population size by some scaling factor while scaling up the mutation rate, selection coefficients, and recombination rate by the same factor. However, this rescaling approach may in some cases bias simulation results. To investigate the manner and degree to which rescalin

SUBMITTER: Dabi A 

PROVIDER: S-EPMC11708920 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature