title: Decomposition of multivariate phenotypic means in multigroup genetic covariance structure analysis.
abstract: Observed differences in phenotypic means between groups such as parents and their offspring or male and female twins can be decomposed into genetic and environmental components. The decomposition is based on the assumption that the difference in phenotypic means is due to a difference in the location of the normal genetic and environmental distributions underlying the phenotypic individual differences. Differences between the groups in variance can be accommodated insofar as they are due to differences in unique variance or can be modeled using a scale parameter. The decomposition may be carried out in the standard analysis of genetic covariance structure using, for instance, LISREL. Illustrations are given using simulated data and twin data relating to blood pressure. Other possible applications are mentioned.
authors.affiliation: Department of Psychology, University of Amsterdam, The Netherlands.
authors.forename: C V
authors.initials: CV
authors.lastname: Dolan
authors.forename: P C
authors.initials: PC
authors.lastname: Molenaar
authors.forename: D I
authors.initials: DI
authors.lastname: Boomsma
mesh_terms: D001794:Blood Pressure / Q000235:genetics; D003430:Cross-Sectional Studies; D005260:Female; D005824:Genetics, Behavioral; D005838:Genotype; D006801:Humans; D008297:Male; D008957:Models, Genetic; D015999:Multivariate Analysis; D010641:Phenotype; D012931:Social Environment; D014429:Twins, Dizygotic / Q000235:genetics* / Q000523:psychology; D014430:Twins, Monozygotic / Q000235:genetics* / Q000523:psychology