A Bayesian model for the analysis of transgenerational epigenetic variation.

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 relatio

SUBMITTER: Varona L 

PROVIDER: S-EPMC4390564 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature