Bayesian multi-QTL mapping for growth curve parameters

Bayesian multi-QTL mapping for growth curve parameters

BACKGROUND Identification of QTL affecting a phenotype which is measured multiple times on the same experimental unit is not a trivial task because the repeated measures are not independent and in most cases show a trend in time. A complicating factor is that in most cases the mean increases non-linear with time as well as the variance. A two- step approach was used to analyze a simulated data ...

Bayesian LASSO for QTL Mapping

Mapping quantitative trait loci (QTL) is to identify molecular markers or genomic loci that influence the variation of complex traits. The problem is complicated by the facts that QTL data usually contain a large number of markers across the entire genome and most of them have little or no effect on the phenotype. In this paper, we propose several Bayesian hierarchical models for mapping multip...

Bayesian QTL Mapping for Multiple Traits

Bayesian Estimates of Genetic Relationships between Growth Curve Parameters in Shall Sheep via Gibbs Sampling

The objective of this study was to estimate variance components and genetic parameters for growth curve parameters in Shall sheep. Studied traits were parameters of Brody growth model which included A (asymptotic mature weight), B (initial animal weight) and K (maturation rate). The data set and pedigree information used in this study were obtained from the Animal Breeding Center of Iran and co...

Bayesian QTL mapping using inferred haplotypes

We describe a fast hierarchical Bayesian method for mapping quantitative trait loci by haplotype-based association, applicable when haplotypes are not observed directly but are inferred from multiple marker genotypes. The method avoids the use of a MonteCarlo Markov chain by employing priors for which the likelihood factorizes completely. It is parameterized by a single hyper-parameter, the fra...