Evidence map›Paper›PMID 40949978›Full record

ArticlebioRxiv : the preprint server for biology2025

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

B C Haller, C W Nelson, M F Rodrigues, P W Messer

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

B C HallerDept. of Computational Biology, Cornell University, Ithaca, NY 14850, USA.ORCID 0000-0003-1874-8327
C W NelsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA.ORCID 0000-0001-6287-1598
M F RodriguesDivision of Genetics, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA.ORCID 0000-0001-7508-1384
P W MesserDept. of Computational Biology, Cornell University, Ithaca, NY 14850, USA.ORCID 0000-0001-8453-9377

Funding

Scaling up computational genomics with tree sequencesR01HG012473 · NHGRI · UNIVERSITY OF OREGON · PI PETER Lochhead RALPH · 2023 to 2026
$2.3M
Population genetics of rapid evolutionary processesR35GM152242 · NIGMS · CORNELL UNIVERSITY · PI Philipp W Messer · 2024 to 2026
$1.2M
NHGRI NIH HHS R01 HG012473NIGMS NIH HHS R35 GM152242
6 · The paper itself

Abstract

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.

Indexed as

agent-based modelforward genetic simulationfull genome simulationhuman evolutionindividual-based modelsex chromosome evolutionSLiMwhole genome simulation

Identifiers

PMID40949978
PMCPMC12424851

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.