The use of linear mixed models to estimate variance components from data on twin pairs by maximum likelihood.

摘要: It is shown that maximum likelihood estimation of variance components from twin data can be parameterized in the framework linear mixed models. Standard statistical packages used to analyze univariate or multivariate for simple models such as ACE and CE Furthermore, specialized component software handle pedigree user-defined covariance structures complex models, including those where dominance and/or QTL effects are fitted. The model particularly useful analyzing multiple traits extended (twin) families with a large number random effects.