Impact of prior specifications in a shrinkage-inducing Bayesian model for quantitative trait mapping and genomic prediction

Background In quantitative trait mapping and genomic prediction, Bayesian variable selection methods have gained popularity in conjunction with the increase in marker data and computational resources. Whereas shrinkage-inducing methods are common tools in genomic prediction, rigorous decision making...

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Bibliographic Details
Published in:	Genetics selection evolution (Paris) Vol. 45; no. 1; p. 24
Main Authors:	Knürr, Timo, Läärä, Esa, Sillanpää, Mikko J
Format:	Journal Article
Language:	English
Published:	London BioMed Central 08.07.2013 BioMed Central Ltd Springer Nature B.V
Subjects:	Agriculture Algorithms Analysis Animal Genetics and Genomics Animals Bayes Theorem Bayesian analysis Biomedical and Life Sciences Breeding Chromosome Mapping Computer applications Computer Simulation Datasets Decision making Estimates Evolutionary Biology Expected values Feature selection Female Gene mapping Genetic Markers Genomics Genotype Life Sciences Male Mapping Markers Markov chains Markov processes Mathematical analysis Mathematical models Maximization Models, Genetic Monte Carlo method Optimization Phenotype Polymorphism, Single Nucleotide Predictions Quantitative genetics Quantitative Trait Loci Quantitative Trait, Heritable Reproducibility of Results Robustness Shrinkage Simulation Software packages Specifications Swine Variables Quantitative Trait Locus Detection Markov Chain Monte Carlo Single Nucleotide Polymorphism Quantitative Trait Locus Genomic Prediction
ISSN:	1297-9686, 0999-193X, 1297-9686
Online Access:	Get full text
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