title: Mixed model analysis of quantitative trait loci.
abstract: We develop a mixed model approach of quantitative trait locus (QTL) mapping for a hybrid population derived from the crosses of two or more distinguished outbred populations. Under the mixed model, we treat the mean allelic value of each source population as the fixed effect and the allelic deviations from the mean as random effects so that we can partition the total genetic variance into between- and within-population variances. Statistical inference of the QTL parameters is obtained by using the Bayesian method implemented by Markov chain Monte Carlo (MCMC). This unified QTL mapping algorithm treats the fixed and random model approaches as special cases of the general mixed model methodology. Utility and flexibility of the method are demonstrated by using a set of simulated data.
authors: Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA. xu@genetics.ucr.edu
authors: S
authors: S
authors: Xu
authors: N
authors: N
authors: Yi
mesh_terms: D000465:Algorithms; D000483:Alleles; D002874:Chromosome Mapping; D003198:Computer Simulation; D003433:Crosses, Genetic; D008390:Markov Chains; D008957:Models, Genetic; D009010:Monte Carlo Method; D019655:Quantitative Trait, Heritable