A single-locus quantitative genetic model incorporating DNA methylation

We describe a single-locus quantitative genetic model that incorporates effects due to DNA methylation. Extending Fisher's decomposition of the genotypic value, we distinguish two quantities to predict an individual's phenotypic or genetic values: the "basic genetic value" and the "expressed genetic value". We show how these quantities relate to the concept of breeding value and derive their corresponding formulas, along with those for phenotypic variance and covariance between relatives. The resulting parameters are influenced by several factors, including the population distribution of DNA methylation levels, the functional relationship between methylation and phenotype, the magnitudes of genetic and methylation effects, and allele frequencies. We show that under the conditions modeled, the presence of DNA methylation does not bias estimated breeding values.

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Publication Details

Journal
Journal of Theoretical Biology
Published
2025-04-06
DOI
https://doi.org/10.1016/j.jtbi.2025.112110
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00

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article

A single-locus quantitative genetic model incorporating DNA methylation

Lachlan Ayres, M.P.L. Calus, H. Bovenhuis
Journal of Theoretical Biology
Genetic Mapping and Diversity in Plants and Animals
article

A single-locus quantitative genetic model incorporating DNA methylation

Lachlan Ayres, M.P.L. Calus, H. Bovenhuis
article en

Abstract

We describe a single-locus quantitative genetic model that incorporates effects due to DNA methylation. Extending Fisher's decomposition of the genotypic value, we distinguish two quantities to predict an individual's phenotypic or genetic values: the "basic genetic value" and the "expressed genetic value". We show how these quantities relate to the concept of breeding value and derive their corresponding formulas, along with those for phenotypic variance and covariance between relatives. The resulting parameters are influenced by several factors, including the population distribution of DNA methylation levels, the functional relationship between methylation and phenotype, the magnitudes of genetic and methylation effects, and allele frequencies. We show that under the conditions modeled, the presence of DNA methylation does not bias estimated breeding values.

Journal of Theoretical BiologyVol. 607
Centre for BioSystems Genomics (NL), Wageningen University & Research (NL)
European Commission, Horizon 2020 Framework Programme, Horizon 2020
Zero hunger
Openalex Percentile: Top 92%
Genetic Mapping and Diversity in Plants and Animals
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A single-locus quantitative genetic model incorporating DNA methylation — Lachlan Ayres, M.P.L. Calus, et al. · Journal of Theoretical Biology (2025) | TGRS Research Map | TGRS