Impact of genotype imputation on the performance of GBLUP and Bayesian methods for genomic prediction

The aim of this study was to evaluate the impact of genotype imputation on the performance of the GBLUP and Bayesian methods for genomic prediction. A total of 10,309 Holstein bulls were genotyped on the BovineSNP50 BeadChip (50 k). Five low density single nucleotide polymorphism (SNP) panels, conta...

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Veröffentlicht in:	PloS one 2014-07, Vol.9 (7), p.e101544-e101544
Hauptverfasser:	Chen, Liuhong, Li, Changxi, Sargolzaei, Mehdi, Schenkel, Flavio
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Analysis Animals Bayes Theorem Bayesian analysis Biology and Life Sciences Bovidae Cattle Density Evolution, Molecular Female Gene polymorphism Genetic aspects Genomics - methods Genotype Genotypes Male Methods Models, Genetic Normal distribution Panels Phenotype Polymorphism Polymorphism, Single Nucleotide Quantitative genetics Quantitative Trait Loci Quantitative Trait, Heritable Reproducibility of Results Single nucleotide polymorphisms Single-nucleotide polymorphism Statistical methods Training
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