The mixed model for complex eegregation 8nalySiS of quantitative data from three-generational nuclear families is extended to the multivariate case. Likelihood functions for hypothesis testing are derived for two typea of conditional analysis of multiple traita: first when entry to the study depends
Likelihood Under the Mixed Model for Quantitative Traits
β Scribed by J. M. Simpson; C. A. McGilchrist
- Publisher
- John Wiley and Sons
- Year
- 1982
- Tongue
- English
- Weight
- 511 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Sib-pair linkage studies are widely used to investigate the genetic factors implicated in complex quantitative traits. To analyze these data, we propose a Maximum-Likelihood-Binomial (MLB) approach, which considers the sibship as a whole and relies on the idea of binomial distributions of parental a
The formulation of likelihood functions for multivariate genetic traits in humans is discussed, and exact computing formulas presented for families and simple pedigrees. The model described incorporates all the features of the original ELSTON and STEWART (1971) formulation and t h a t of LANGE et al
Model-free linkage analysis methods, based on identity-by-descent allele sharing, are commonly used for complex trait analysis. The Maximum-Likelihood-Binomial (MLB) approach, which is based on the hypothesis that parental alleles are binomially distributed among affected sibs, is particularly popul
Two di!erent theoretical frameworks have been developed to predict response to selection in a mixed mating population (in which reproduction occurs by a mixture of outcrossing and self-fertilization). The genotypic covariance model (GCM) and the structured linear model (SLM) rely on the same assumpt
The regressive models describe familial patterns of dependence of quantitative measures by specifying regression relationships among a person's phenotype and genotype and the phenotypes and genotypes of antecedents. When the number of sibs in the pattern of dependence increases, as in the class D re