A Monte Carlo method for Bayesian analysis of linkage between single markers and quantitative trait loci. I. Methodology
โ Scribed by G. Thaller; I. Hoeschele
- Publisher
- Springer
- Year
- 1996
- Tongue
- English
- Weight
- 629 KB
- Volume
- 93
- Category
- Article
- ISSN
- 0040-5752
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Prior information on gene effects at individual quantitative trait loci (QTL) and on recombination rates between marker loci and QTL is derived. The prior distribution of QTL gene effects is assumed to be exponential with major effects less likely than minor ones. The prior probability of linkage be
A Bayesian method was developed for identifying genetic markers linked to quantitative trait loci (QTL) by analyzing data from daughter or granddaughter designs and single markers or marker pairs. Traditional methods may yield unrealistic results because linkage tests depend on number of markers and
The cost of experiments aimed at determining linkage between marker loci and quantitative trait loci (QTL) was investigated as a function of marker spacing and number of individuals scored. It was found that for a variety of experimental designs, fairly wide marker spacings (ca. 50 cM) are optimum o
## Abstract Although extended pedigrees are often sampled through probands with extreme levels of a quantitative trait, Markov chain Monte Carlo (MCMC) methods for segregation and linkage analysis have not been able to perform ascertainment corrections. Further, the extent to which ascertainment of
The quantitative traits height and ear-emergence date were analyzed in the F2 progeny of a cross between a tall winter barley cultivar (Gerbel) and a short spring barley cultivar (Heriot). The trait distributions were found to be related to the genotypes at two biochemical loci, ฮฒ-amylase (Bmy1) and