A Governed Synthetic Genetic Pool as a Computational Framework Anchored to Real Population Allele Frequencies and Simulated with msprime

Proof-of-concept implementation of the CORGData genetic pool framework as a governed population simulator over a real public allele-frequency slice (European gnomAD v4, five MC1R variants), with inheritance simulated via msprime fixed-pedigree ancestry. Governed selection raised final-generation target prevalence from 8.8% to 83.3%. A method demonstration, not a clinical predictor.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-30
DOI
https://doi.org/10.5281/zenodo.23068129
Primary Topic
Genetic Associations and Epidemiology
Type
preprint
Controls
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preprint

A Governed Synthetic Genetic Pool as a Computational Framework Anchored to Real Population Allele Frequencies and Simulated with msprime

Pavel Zagadailov
Zenodo (CERN European Organization for Nuclear Research)
Genetic Associations and Epidemiology
preprint

A Governed Synthetic Genetic Pool as a Computational Framework Anchored to Real Population Allele Frequencies and Simulated with msprime

Pavel Zagadailov
preprint en

Abstract

Proof-of-concept implementation of the CORGData genetic pool framework as a governed population simulator over a real public allele-frequency slice (European gnomAD v4, five MC1R variants), with inheritance simulated via msprime fixed-pedigree ancestry. Governed selection raised final-generation target prevalence from 8.8% to 83.3%. A method demonstration, not a clinical predictor.

Zenodo (CERN European Organization for Nuclear Research)
Genetic Associations and Epidemiology
DOIOpen Access PDFOpenAlex
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A Governed Synthetic Genetic Pool as a Computational Framework Anchored to Real Population Allele Frequencies and Simulated with msprime — Pavel Zagadailov · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS