Quantitative Trait Locus Mapping Methods for Diversity Outbred Mice
نویسندگان
چکیده
منابع مشابه
Quantitative Trait Locus Mapping Methods for Diversity Outbred Mice
Genetic mapping studies in the mouse and other model organisms are used to search for genes underlying complex phenotypes. Traditional genetic mapping studies that employ single-generation crosses have poor mapping resolution and limit discovery to loci that are polymorphic between the two parental strains. Multiparent outbreeding populations address these shortcomings by increasing the density...
متن کاملMULTIPARENTAL POPULATIONS Quantitative Trait Locus Mapping Methods for Diversity Outbred Mice
Genetic mapping studies in the mouse and other model organisms are used to search for genes underlying complex phenotypes. Traditional genetic mapping studies that employ single-generation crosses have poor mapping resolution and limit discovery to loci that are polymorphic between the two parental strains. Multiparent outbreeding populations address these shortcomings by increasing the density...
متن کاملMarkov chain Monte Carlo for mapping a quantitative trait locus in outbred populations.
A Bayesian approach is presented for mapping a quantitative trait locus (QTL) using the 'Fernando and Grossman' multivariate Normal approximation to QTL inheritance. For this model, a Bayesian implementation that includes QTL position is problematic because standard Markov chain Monte Carlo (MCMC) algorithms do not mix, i.e. the QTL position gets stuck in one marker interval. This is because of...
متن کاملMAPfastR: Quantitative Trait Loci Mapping in Outbred Line Crosses
MAPfastR is a software package developed to analyze quantitative trait loci data from inbred and outbred line-crosses. The package includes a number of modules for fast and accurate quantitative trait loci analyses. It has been developed in the R language for fast and comprehensive analyses of large datasets. MAPfastR is freely available at: http://www.computationalgenetics.se/?page_id=7.
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ژورنال
عنوان ژورنال: G3 Genes|Genomes|Genetics
سال: 2014
ISSN: 2160-1836
DOI: 10.1534/g3.114.013748