The Use of Multiple Markers in a Bayesian Method for Mapping Quantitative Trait Loci
AUTOR(ES)
Uimari, P.
RESUMO
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.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1207443Documentos Relacionados
- A General Monte Carlo Method for Mapping Multiple Quantitative Trait Loci
- Multiple Trait Analysis of Genetic Mapping for Quantitative Trait Loci
- Interval Mapping of Multiple Quantitative Trait Loci
- A method for fine mapping quantitative trait loci in outbred animal stocks
- A Powerful and Robust Method for Mapping Quantitative Trait Loci in General Pedigrees
