The use of multiple markers in a Bayesian method for mapping quantitative trait loci.
Information on multiple linked genetic markers was used in a Bayesian method for the statistical mapping of quantitative trait loci (QTL). Bayesian parameter estimation and hypothesis testing were implemented via Markov chain Monte Carlo algorithms. Variables sampled were the augmented data (marker-QTL genotypes, polygenic effects), an indicator variable for linkage or nonlinkage, and the parameters. The parameter vector included allele frequencies at the markers and the QTL, map distances of the markers and the QTL, QTL substitution effect, and polygenic and residual variances. The criterion for QTL detection was the marginal posterior probability of a QTL being located on the chromosome carrying the markers. The method was evaluated empirically by analyzing simulated granddaughter designs consisting of 2000 sons, 20 related sires, and their ancestors.
Uimari
P
P
Department of Animal and Range Sciences, Montana State University, Bozeman 59717, USA.
Thaller
G
G
Hoeschele
I
I
D000465:Algorithms; D000818:Animals; D001499:Bayes Theorem; D002874:Chromosome Mapping / Q000706:statistics & numerical data; D005260:Female; D008040:Genetic Linkage; D005819:Genetic Markers; D005838:Genotype; D006801:Humans; D008297:Male; D008390:Markov Chains; D008957:Models, Genetic; D009010:Monte Carlo Method
D005819:Genetic Markers