Genomic prediction based on selected variants from imputed whole-genome sequence data in Australian sheep populations

Genomic prediction based on selected variants from imputed whole-genome sequence data in Australian sheep populations

Abstract Background Whole-genome sequence (WGS) data could contain information on genetic variants at or in high linkage disequilibrium with causative mutations that underlie the genetic variation of polygenic traits. Thus far, genomic prediction accuracy has shown limited increase when using such i...

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Bibliographic Details
Main Authors: Nasir Moghaddar, Majid Khansefid, Julius H. J. van der Werf, Sunduimijid Bolormaa, Naomi Duijvesteijn, Samuel A. Clark, Andrew A. Swan, Hans D. Daetwyler, Iona M. MacLeod
Format: Article
Language:deu
Published: BMC 2019-12-01
Series:Genetics Selection Evolution
Online Access:https://doi.org/10.1186/s12711-019-0514-2

Internet

https://doi.org/10.1186/s12711-019-0514-2

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