Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency
Abstract Background Sharing individual phenotype and genotype data between countries is complex and fraught with potential errors, while sharing summary statistics of genome-wide association studies (GWAS) is relatively straightforward, and thus would be especially useful for traits that are expensi...
Main Authors: | Sunduimijid Bolormaa, Iona M. MacLeod, Majid Khansefid, Leah C. Marett, William J. Wales, Filippo Miglior, Christine F. Baes, Flavio S. Schenkel, Erin E. Connor, Coralia I. V. Manzanilla-Pech, Paul Stothard, Emily Herman, Gert J. Nieuwhof, Michael E. Goddard, Jennie E. Pryce |
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Format: | Article |
Language: | deu |
Published: |
BMC
2022-09-01
|
Series: | Genetics Selection Evolution |
Online Access: | https://doi.org/10.1186/s12711-022-00749-z |
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