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September 2nd, 2025
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Dept. of Computational Biology, Cornell University
evolutionary biology
bioRxiv

SimHumanity: Using SLiM 5.0 to run whole-genome simulations of human evolution

Haller, B. C.Open in Google Scholar•Nelson, C. W.Open in Google Scholar•Rodrigues, M. F.Open in Google Scholar•Messer, P. W.Open in Google Scholar

The reconstruction of human evolutionary history has undergone repeated advances, each made possible by methodological innovations. In recent decades, genetic and genomic data played a central role in the reconstruction of major evolutionary events such as the out-of-Africa migration, and genetic simulations of human evolutionary history have come to play a major role in testing more specific hypotheses including proposed patterns of migration and admixture with archaic hominins. Increasing computational power has allowed human evolutionary history to be modeled at ever-larger scales, but simulations that encompass the complete human genome, including sex chromosomes and mitochondrial DNA, have been difficult due to the lack of support for whole-genome models in commonly used evolutionary simulation frameworks. With the recent introduction of SLiM 5 such simulations are now straightforward to construct, allowing the easy simulation of humans at whole-genome scale under different demographic models and evolutionary dynamics. We here present three versions of a reusable, customizable, open-source SLiM 5 model for simulating the molecular evolution of the full human genome. We also show some simple analyses of results from the model, to illustrate its utility. We hope this model, which we have nicknamed \"SimHumanity\" in jest, will facilitate further progress in the field of human evolutionary simulations.

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