Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/19901
Tipo: Artigo
Título: Accounting for genetic architecture in single- and multipopulation genomic prediction using weights from genomewide association studies in pigs
Autor(es): Veroneze, R.
Lopes, P.S.
Lopes, M.S.
Hidalgo, A.M.
Guimaraes, S.E.F.
Harlizius, B.
Knol, E.F.
Arendonk, J.A.M. van
Silva, F.F.
Bastiaansen, J.W.M.
Abstract: We studied the effect of including GWAS results on the accuracy of single‐ and multipopulation genomic predictions. Phenotypes (backfat thickness) and genotypes of animals from two sire lines (SL1, n = 1146 and SL3, n = 1264) were used in the analyses. First, GWAS were conducted for each line and for a combined data set (both lines together) to estimate the genetic variance explained by each SNP. These estimates were used to build matrices of weights (D), which was incorporated into a GBLUP method. Single population evaluated with traditional GBLUP had accuracies of 0.30 for SL1 and 0.31 for SL3. When weights were employed in GBLUP, the accuracies for both lines increased (0.32 for SL1 and 0.34 for SL3). When a multipopulation reference set was used in GBLUP, the accuracies were higher (0.36 for SL1 and 0.32 for SL3) than in single‐population prediction. In addition, putting together the multipopulation reference set and the weights from the combined GWAS provided even higher accuracies (0.37 for SL1, and 0.34 for SL3). The use of multipopulation predictions and weights estimated from a combined GWAS increased the accuracy of genomic predictions.
Palavras-chave: Accuracy
Genetic variance
Genomic relationship
Single nucleotide polymorphisms
Editor: Journal of Animal Breeding and Genetics
Tipo de Acesso: Open Access
URI: http://dx.doi.org/10.1111/jbg.12202
http://www.locus.ufv.br/handle/123456789/19901
Data do documento: 1-Fev-2016
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