title: A multivariate model for the analysis of sibship covariance structure using marker information and multiple quantitative traits.
abstract: A model was developed to detect effects of quantitative trait loci (QTLs) in sibships from simulated nuclear family data using the full covariance structure of the data and analyzing all five quantitative traits simultaneously in a multivariate model. Evidence of the presence of loci was detected on chromosomes 4, 8, 9, and 10. The method provided stable results and is worth further exploration for its performance and optimal sample size requirements under realistic conditions.
authors.affiliation: Department of Biobehavioral Health, Pennsylvania State University, University Park 16802, USA.
authors.forename: G P
authors.initials: GP
authors.lastname: Vogler
authors.forename: W
authors.initials: W
authors.lastname: Tang
authors.forename: T L
authors.initials: TL
authors.lastname: Nelson
authors.forename: S M
authors.initials: SM
authors.lastname: Hofer
authors.forename: J D
authors.initials: JD
authors.lastname: Grant
authors.forename: L M
authors.initials: LM
authors.lastname: Tarantino
authors.forename: J R
authors.initials: JR
authors.lastname: Fernandez
mesh_terms: D000483:Alleles; D000704:Analysis of Variance; D002874:Chromosome Mapping; D003198:Computer Simulation; D005260:Female; D005819:Genetic Markers; D006801:Humans; D016013:Likelihood Functions; D008297:Male; D016555:Matched-Pair Analysis; D015233:Models, Statistical; D015999:Multivariate Analysis; D009679:Nuclear Family; D010641:Phenotype; D019655:Quantitative Trait, Heritable
chemical_list: D005819:Genetic Markers