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Poster De Conférence Année : 2016

Detection and estimation of epigenetic effects

Résumé

Epigenetic mechanisms are being deeply studied by molecular biologists, geneticists and physiologists. However, few teams are trying to develop generic models to evaluate the importance of epigenetic variation. Here, we propose to develop models for such evaluation in two situations: absence or availability of molecular data. In absence of molecular data, we based our proposal in recent published work where partially transmitted epigenetic variability can be distinguished from totally transmitted genetic variability. When molecular data is available, we propose to compare “marker” models, where genetic and epigenetic markers are explanatory variables of phenotypic variation, with “individual” models where marker data are embedded into individual effects. Models will be tested using real (quail, sheep) and simulated data. Expected results are modeling tools to evaluate the importance of epigenetic variation. When traits are subjected to epigenetic influence, dissociation of genetic and epigenetic influence can improve the precision of genetic evaluation and genetic prediction.
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Dates et versions

hal-02799548 , version 1 (05-06-2020)

Identifiants

  • HAL Id : hal-02799548 , version 1
  • PRODINRA : 362062

Citer

Eduardo Manfredi, Loys L. Bodin, Andres Legarra, Frederique Pitel. Detection and estimation of epigenetic effects. 2. Réunion d'Animation épiPHASE, Mar 2016, Saint-Pée-sur-Nivelle, France. 2016. ⟨hal-02799548⟩
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