Multiple-trait QTL mapping and genomic prediction for wool traits in sheep

Bayesian QTL Mapping for Multiple Traits

A multi-trait Bayesian method for mapping QTL and genomic prediction

BACKGROUND Genomic prediction and quantitative trait loci (QTL) mapping typically analyze one trait at a time but this may ignore the possibility that one polymorphism affects multiple traits. The aim of this study was to develop a multivariate Bayesian approach that could be used for simultaneously elucidating genetic architecture, QTL mapping, and genomic prediction. Our approach uses informa...

Novel Resampling Improves Statistical Power for Multiple-Trait QTL Mapping

Multiple-trait analysis typically employs models that associate a quantitative trait locus (QTL) with all of the traits. As a result, statistical power for QTL detection may not be optimal if the QTL contributes to the phenotypic variation in only a small proportion of the traits. Excluding QTL effects that contribute little to the test statistic can improve statistical power. In this article, ...

Bayesian mixture structural equation modelling in multiple-trait QTL mapping.

Quantitative trait loci (QTLs) mapping often results in data on a number of traits that have well-established causal relationships. Many multi-trait QTL mapping methods that account for correlation among the multiple traits have been developed to improve the statistical power and the precision of QTL parameter estimation. However, none of these methods are capable of incorporating the causal st...

analysis of quantitative trait loci for wool traits in baluchi sheep

regions on three ovine chromosomes (oar1, oar5 and oar25) were selected to study quantitative trait loci (qtl) segregating for wool traits in baluchi sheep. a total of 503 progeny from 13 half-sib families were genotyped for 15 microsatellite markers. the average number of progeny per sire was 38 and ranged between 16 and 59. data were collected from research centre on baluchi breed in 2009 and...