Hypothesis testing for the genetic background of quantitative traits

García-Cortés Luis, Cabrillo Carlos, Moreno Carlos, Varona, Varona Luis

Description

The testing of Bayesian point null hypotheses on variance component models have resulted in a tough assignment for which no clear and generally accepted method exists. In this work we present what we believe is a succeeding approach to such a task. It is based on a simple reparameterization of the model in terms of the total variance and the proportion of the additive genetic variance with respect to it, as well as on the explicit inclusion on the prior probability of a discrete component at origin. The reparameterization was used to bypass an arbitrariness related to the impropriety of uninformative priors onto unbounded variables while the discrete component was necessary to overcome the zero probability assigned to sets of null measure by the usual continuous variable models. The method was tested against computer simulations with appealing results.

Sujets

• Animal breeding
• Prior probability
• Bayes factor
• Statistical hypothesis testing
• Heritability

Informations

• Publié par: biomed
• Publié le: 01 janvier 2001
• Nombre de lectures: 10
• Langue: English

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