ArticleG3 (Bethesda, Md.)2015
A Bayesian model for the analysis of transgenerational epigenetic variation.
Article in G3 (Bethesda, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A Recursive Model Approach to Include Epigenetic Effects in Genetic Evaluations Using Simulated DNA Methylation Effects.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Sperm DNA methylation landscape and its links to male fertility in a non-model teleost using EM-seq.Heredity · 2025Article
- Transgenerational epigenetic heritability for growth, body composition, and reproductive traits in Landrace pigs.Frontiers in genetics · 2024Article
- An improved transmissibility model to detect transgenerational transmitted environmental effects.Genetics, selection, evolution : GSE · 2023Article
- Relative importance of genotype, gene expression, and DNA methylation on complex traits in perennial ryegrass.The plant genome · 2022Article
- The epigenome of male germ cells and the programming of phenotypes in cattle.Animal frontiers : the review magazine of animal agriculture · 2021Article
- Enviromics in breeding: applications and perspectives on envirotypic-assisted selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Inclusive inheritance for residual feed intake in pigs and rabbits.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2020Article
- Article
- Intergenerational Transmission of Characters Through Genetics, Epigenetics, Microbiota, and Learning in Livestock.Frontiers in genetics · 2019Review
- Quantitative epigenetics and evolution.Heredity · 2018Review
- Epigenetics and inheritance of phenotype variation in livestock.Epigenetics & chromatin · 2016Review
- Genomic imprinting effects on complex traits in domesticated animal species.Frontiers in genetics · 2015Review
- Past, present, and future of epigenetics applied to livestock breeding.Frontiers in genetics · 2015Review
Corrections and comments
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Authors and funding
6 authors.
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Abstract
Epigenetics has become one of the major areas of biological research. However, the degree of phenotypic variability that is explained by epigenetic processes still remains unclear. From a quantitative genetics perspective, the estimation of variance components is achieved by means of the information provided by the resemblance between relatives. In a previous study, this resemblance was described as a function of the epigenetic variance component and a reset coefficient that indicates the rate of dissipation of epigenetic marks across generations. Given these assumptions, we propose a Bayesian mixed model methodology that allows the estimation of epigenetic variance from a genealogical and phenotypic database. The methodology is based on the development of a T: matrix of epigenetic relationships that depends on the reset coefficient. In addition, we present a simple procedure for the calculation of the inverse of this matrix ( T-1: ) and a Gibbs sampler algorithm that obtains posterior estimates of all the unknowns in the model. The new procedure was used with two simulated data sets and with a beef cattle database. In the simulated populations, the results of the analysis provided marginal posterior distributions that included the population parameters in the regions of highest posterior density. In the case of the beef cattle dataset, the posterior estimate of transgenerational epigenetic variability was very low and a model comparison test indicated that a model that did not included it was the most plausible.
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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.