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Genomic prediction using a reference population of multiple pure breeds and admixed individuals.

Emre KaramanGuosheng SuIola CroueMogens S Lund
Published in: Genetics, selection, evolution : GSE (2021)
Combining all available data, pure breeds' and admixed population's data, in a multi-breed reference population is beneficial for the estimation of breeding values for pure breeds with a small reference population. For MIX, such an approach can lead to higher accuracies than considering breed origin of alleles for the selection candidates, and using breed-specific SNP effects estimated separately in each pure breed. Including MIX data in the reference population of multiple breeds by considering the breed origin of alleles, accuracies can be further improved. Our findings are relevant for breeding programs in which crossbreeding is systematically applied, and also for populations that involve different subpopulations and between which exchange of genetic material is routine practice.
Keyphrases
  • genetic diversity
  • electronic health record
  • healthcare
  • primary care
  • genome wide
  • public health
  • big data
  • machine learning
  • dna methylation