A comparison of interval mapping procedures including the QTL-cluster mapping
نویسندگان
چکیده
منابع مشابه
QTL Analysis using Bayesian Interval Mapping
R/qtlbim (www.qtlbim.org) provides a powerful suite of tools for model selection of the genetic architecture for traits influenced by multiple quantitative trait loci (QTL). The Markov chain Monte Carlo (MCMC) sampling approach draws samples from the more probable genetic architectures. Subsequent visualization and summary provides posterior estimates of the number and location of QTL, their ma...
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To compare different QTL mapping methods, a population with genotypic and phenotypic data was simulated. In Bayesian approach, all information of markers can be used along with combination of distributions of SNP markers. It is assumed that most of the markers (95%) have minor effects and a few numbers of markers (5%) exert major effects. The simulated population included a basic population of ...
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A general method is proposed for calculating approximate thresholds of interval mapping tests for quantitative trait loci (QTL) detection. Simulation results show that this method, when applied to backcross and F2 populations, gives good approximations and is useful for any situation. Programs which calculate these thresholds for backcross, recombinant inbreds and F2 for any given level and any...
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چکیده ندارد.
15 صفحه اولPrinciples of QTL Mapping
To date, most genetic progress for quantitative traits in livestock has been made by selection on phenotype or on estimates of breeding values (EBV) derived from phenotype, without knowledge of the number of genes that affect the trait or the effects of each gene. In this quantitative genetic approach to genetic improvement, the genetic architecture of traits of interest has essentially been tr...
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ژورنال
عنوان ژورنال: Genes & Genetic Systems
سال: 2005
ISSN: 1341-7568,1880-5779
DOI: 10.1266/ggs.80.71