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Updated: Mar 17, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
PReFerSim: fast simulation of demography and selection under the Poisson Random Field model
Diego Ortega-Del Vecchyo1, Clare D Marsden2, Kirk E Lohmueller1,2,3
1Interdepartmental Program in Bioinformatics, University of California, Los Angeles, CA 90095, USA.
Abstract:
The Poisson Random Field (PRF) model has become an important tool in population genetics to study weakly deleterious genetic variation under complicated demographic scenarios. Currently, there are no freely available software applications that allow simulation of genetic variation data under this model. Here we present PReFerSim, an ANSI C program that performs forward simulations under the PRF model. PReFerSim models changes in population size, arbitrary amounts of inbreeding, dominance and distributions of selective effects. Users can track summaries of genetic variation over time and output trajectories of selected alleles.
Availability And Implementation:
PReFerSim is freely available at: https://github.com/LohmuellerLab/PReFerSim CONTACT: klohmueller@ucla.eduSupplementary information: Supplementary data are available at Bioinformatics online.
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