Estimating the number of quantitative trait loci via Bayesian model determination
نویسندگان
چکیده
منابع مشابه
Bayesian point estimation of quantitative trait loci.
In this article, we consider the problem of the estimation of quantitative trait loci (QTL), those chromosomal regions at which genetic information affecting some quantitative trait is encoded. Generally the number of such encoding sites is unknown, and associations between neutral molecular marker genotypes and observed trait phenotypes are sought to locate them. We consider a Bayesian model f...
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Genomic selection combines statistical methods with genomic data to predict genetic values for complex traits. The accuracy of prediction of genetic values in selected population has a great effect on the success of this selection method. Accuracy of genomic prediction is highly dependent on the statistical model used to estimate marker effects in reference population. Various factors such a...
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The success of genomic selection mainly depends on the extent of linkage disequilibrium (LD) between markers and quantitative trait loci (QTL), number of QTL and heritability (h2) of the traits. The extent of LD depends on the genetic structure of the population and marker density. This study was conducted to determine the effects of marker density, level of heritability, number of QTL, and to ...
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A Bayesian method for mapping linked quantitative trait loci (QTL) using multiple linked genetic markers is presented. Parameter estimation and hypothesis testing was implemented via Markov chain Monte Carlo (MCMC) algorithms. Parameters included were allele frequencies and substitution effects for two biallelic QTL, map positions of the QTL, and markers, allele frequencies of the markers, and ...
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A reversible jump Markov chain Monte Carlo (MCMC) algorithm is illustrated to infer the number of quantitative trait loci (QTL) a ecting a phenotypic trait, their chromosomal locations, and their e ects. A multi-loci model is t to quantitative trait and molecular marker data, with the trait response modeled as a linear function of the additive and dominance e ects of the unknown QTL genotypes. ...
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