SNPMace – A meta-analysis to estimate SNP effects by combining results from multiple countries

Authors

  • M.E. Goddard University of Melbourne Agriculture Victoria, Bundoora
  • A. Jighly Agriculture Victoria, Bundoora
  • H. Benhajali Interbull Centre, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala
  • H. Jorjani
  • Z. Liu IT solutions for animal production (vit)

Keywords:

SNPMace, genomic evaluation, GEBVs, bull, cow, SNP effects, meta-analysis, multiple countries

Abstract

Selection of bulls and cows is increasingly made on genomic estimated breeding values (GEBVs) calculated from their SNP genotypes and the estimated effects of each SNP. To obtain the most accurate GEBVs a large training population of animals with phenotypes and genotypes is needed. For some traits, some breeds and some countries such a large training population is not available. In these cases it would increase the accuracy of GEBVs if information from multiple countries and breeds were combined. This paper describes a meta-analysis to combine SNP effects from multiple countries. A project to test this procedure is under way and, if successful, may result in a new Interbull service.

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Published

2019-02-01

Issue

No. 54 (2019): Proceedings of the 2018 Interbull Technical Workshop

Section

Articles

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