Using imputed whole-genome sequence data to improve the accuracy of genomic prediction for parasite resistance in Australian sheep

Using imputed whole-genome sequence data to improve the accuracy of genomic prediction for parasite resistance in Australian sheep

Abstract Background This study aimed at (1) comparing the accuracies of genomic prediction for parasite resistance in sheep based on whole-genome sequence (WGS) data to those based on 50k and high-density (HD) single nucleotide polymorphism (SNP) panels; (2) investigating whether the use of variants...

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Bibliographic Details
Main Authors: Mohammad Al Kalaldeh, John Gibson, Naomi Duijvesteijn, Hans D. Daetwyler, Iona MacLeod, Nasir Moghaddar, Sang Hong Lee, Julius H. J. van der Werf
Format: Article
Language:deu
Published: BMC 2019-06-01
Series:Genetics Selection Evolution
Online Access:http://link.springer.com/article/10.1186/s12711-019-0476-4

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http://link.springer.com/article/10.1186/s12711-019-0476-4

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