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A Bayesian model for the analysis of transgenerational epigenetic variation.

Varona L, Munilla S, Mouresan EF, González-Rodríguez A, Moreno C, Altarriba J - G3 (Bethesda) (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Unidad de Genética Cuantitativa y Mejora Animal, Universidad de Zaragoza, 50013, Zaragoza, Spain Instituto de Biocomputación y Física de los Sistemas Complejos (BIFI), Universidad de Zaragoza, 50018, Zaragoza, Spain lvarona@unizar.es.

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Example of a pedigree.
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fig1: Example of a pedigree.

Mentions: In this study, we propose a procedure that makes use of the aforementioned authors’ definition for sexual diploid organisms to estimate the parameters under a Bayesian mixed model framework. Our approach makes it feasible to estimate transgenerational epigenetic variability from huge datasets of genealogical and phenotypic data. The key to the procedure is the definition of a T matrix of (co) variance between transgenerational epigenetic effects. This matrix exclusively depends on a single parameter (λ) which is directly related to the reset coefficient (v) put forward by Tal et al. (2010). As an example, for a simple pedigree of seven individuals (Figure 1), the T matrix is:Figure 1


A Bayesian model for the analysis of transgenerational epigenetic variation.

Varona L, Munilla S, Mouresan EF, González-Rodríguez A, Moreno C, Altarriba J - G3 (Bethesda) (2015)

Example of a pedigree.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4390564&req=5

fig1: Example of a pedigree.
Mentions: In this study, we propose a procedure that makes use of the aforementioned authors’ definition for sexual diploid organisms to estimate the parameters under a Bayesian mixed model framework. Our approach makes it feasible to estimate transgenerational epigenetic variability from huge datasets of genealogical and phenotypic data. The key to the procedure is the definition of a T matrix of (co) variance between transgenerational epigenetic effects. This matrix exclusively depends on a single parameter (λ) which is directly related to the reset coefficient (v) put forward by Tal et al. (2010). As an example, for a simple pedigree of seven individuals (Figure 1), the T matrix is:Figure 1

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Unidad de Genética Cuantitativa y Mejora Animal, Universidad de Zaragoza, 50013, Zaragoza, Spain Instituto de Biocomputación y Física de los Sistemas Complejos (BIFI), Universidad de Zaragoza, 50018, Zaragoza, Spain lvarona@unizar.es.

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