Genotype Imputation Methods and Their Effects on Genomic Predictions in Cattle

Abstract

In this study, we reviewed six imputation methods (Impute 2, FImpute 2.2, Beagle 4.1, Beagle 3.3.2, MaCH, and Bimbam) and evaluated the accuracy of imputation from simulated 6K bovine SNPs to 50K SNPs with 1800 beef cattle from two purebred and four crossbred populations and the impact of imputed genotypes on performance of genomic predictions for residual… (More)
DOI: 10.1007/s40362-017-0041-x

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Cite this paper

@article{Wang2017GenotypeIM, title={Genotype Imputation Methods and Their Effects on Genomic Predictions in Cattle}, author={Yining Wang and Guohui Lin and Changxi Li and Paul Stothard}, journal={Springer Science Reviews}, year={2017}, volume={4}, pages={79-98} }