Comparisons of improved genomic predictions generated by different imputation methods for genotyping by sequencing data in livestock populations

Comparisons of improved genomic predictions generated by different imputation methods for genotyping by sequencing data in livestock populations

Abstract Background Genotyping by sequencing (GBS) still has problems with missing genotypes. Imputation is important for using GBS for genomic predictions, especially for low depths, due to the large number of missing genotypes. Minor allele frequency (MAF) is widely used as a marker data editing c...

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Bibliographic Details
Main Authors: Xiao Wang, Guosheng Su, Dan Hao, Mogens Sandø Lund, Haja N. Kadarmideen
Format: Article
Language:English
Published: BMC 2020-01-01
Series:Journal of Animal Science and Biotechnology
Subjects:
Genomic prediction
Genotyping by sequencing
Imputation
MAF
Simulation
Online Access:https://doi.org/10.1186/s40104-019-0407-9

Internet

https://doi.org/10.1186/s40104-019-0407-9

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