Mixture models in quantitative genetics and applications to animal breeding
AUTOR(ES)
Gianola, Daniel, Boettcher, Paul J., Ødegård, Jørgen, Heringstad, Bjørg
FONTE
Revista Brasileira de Zootecnia
DATA DE PUBLICAÇÃO
2007-07
RESUMO
Finite mixture models are helpful for uncovering heterogeneity due to hidden structure; for example, unknown major genes. The first part of this article gives examples and reviews quantitative genetics issues of continuous characters having a finite mixture of Gaussian components. The partition of variance in a mixture, the covariance between relatives under the supposition of an additive genetic model and the offspring-parent regression are derived. Formulae for assessing the effect of mass selection operating on a mixture are given. Expressions for the genetic correlation between a mixture and a Gaussian trait are presented. If there is heterogeneity in a population at the genetic or environmental levels, then genetic parameters based on theory treating distributions as homogeneous can lead to misleading interpretations. Subsequently, methods for parameter estimation (e.g., maximum likelihood) are reviewed, and the Bayesian approach is illustrated via an application to somatic cell scores in dairy cattle.
Documentos Relacionados
- The Use of Mixture Models to Detect Effects of Major Genes on Quantitative Characters in a Plant Breeding Experiment
- Genetics of schizophrenia: from animal models to clinical studies
- The Role of Breeding and Genetics in Animal Production Improvement in the Developing Countries
- Quantitative genetics theory for genomic selection and efficiency of breeding value prediction in open-pollinated populations
- GENETICS AND HORSE BREEDING