Analysis of single gene multitrait effects in livestock by the use of Gibbs sampling

• Authors: A. Dobek , Molinski K. Molinski , K. Molinski , Szydlowski M. Szydlowski , M. Szydlowski , Szwaczkowski T. Szwaczkowski , T. Szwaczkowski
• Languages of publication: EN

Abstracts

EN

The paper presents a method of multivariate data analysis described by a model which involves fixed effects, additive polygenic individual effects and the effects of a major gene. To find the estimates of model parameters, the maximalisation of likelihood function method is applied. The maximum of likelihood function is computed by the use of the Gibbs sampling approach. In this approach, following the conditional posterior distributions, values of all unknown parameters are generated. On the basis of the obtained samples the marginal posterior densities as well as the estimates of fixed effects, gene frequency, genotypic values, major gene, polygenic and error (co)variances are calculated. A numerical example, supplemented to theoretical considerations, deals with data simulated according to the considered model.

Keywords

EN

EM ALGORITHM; GIBBS SAMPLING; MAJOR GENE; PLEIOTROPIC EFFECT

Discipline

• GENETICS: GENETICS

• Publisher: Institute of Plant Genetics, Polish Academy of Sciences
• Journal: Journal of Applied Genetics
• Year: 2000
• Volume: 41
• Issue: 4
• Pages: 275-283

Contributors

author

A. Dobek

author

Molinski K. Molinski

author

K. Molinski

author

Szydlowski M. Szydlowski

author

M. Szydlowski

author

Szwaczkowski T. Szwaczkowski

author

T. Szwaczkowski

• Document Type: ARTICLE
• Publication order reference: A. Dobek, Department of Mathematical and Statistical Methods, August Cieszkowski Agricultural University, ul. Wojska Polskiego 28, 60637 Poznan, Poland.