Accuracy of genotype imputation and genomic predictions in a two-generation farmed Atlantic salmon population using high-density and low-density SNP panels

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dc.contributor.authorYoshida, Grazyella M. [UNESP]
dc.contributor.authorCarvalheiro, Roberto [UNESP]
dc.contributor.authorLhorente, Jean P.
dc.contributor.authorCorrea, Katharina
dc.contributor.authorFigueroa, René
dc.contributor.authorHouston, Ross D.
dc.contributor.authorYáñez, José M.
dc.contributor.institutionUniversidad de Chile
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionAquainnovo
dc.contributor.institutionUniversity of Edinburgh
dc.contributor.institutionNúcleo Milenio INVASAL
dc.date.accessioned2018-12-11T16:52:25Z
dc.date.available2018-12-11T16:52:25Z
dc.date.issued2018-04-01
dc.description.abstractThe objectives of this study were: (i) to assess genotype imputation accuracy in different scenarios using genome-wide single nucleotide polymorphisms (SNP) data from a population comprising two generations of farmed Atlantic salmon and (ii) to assess the accuracy of genomic predictions for a quantitative trait (body weight) using the imputed genotypes. The pedigree consisted of 53 parents and 1069 offspring genotyped using a high-density SNP panel (50 K). Two groups were created: Group A: 90% of the offspring were included into training and 10% into validation sets; Group B: 10% of the offspring were included into training and 90% into validation sets. Different scenarios of available genotypic information from relatives were tested for the two groups previously described. Imputation was performed using three in silico low-density panels (0.5, 3 and 6 K) with all markers except the markers present on the low-density panel masked in the validation sets. The accuracy of genomic selection was tested using the scenarios that resulted in the best and the worst imputation accuracy for the three low density panels and were compared to accuracy obtained from pedigree-based best linear unbiased prediction (PBLUP) and genomic predictions using the 50 K SNP panel. In general, imputation accuracy ranged from 0.74 to 0.98 depending on scenario. For the best scenario with the highest number of animals in reference population (Group A), the accuracy of imputation ranged from 0.95 to 0.98 depending on the low-density panel used. For the best scenario with the lowest number of animals in reference population (Group B), the accuracy of imputation ranged from 0.94 to 0.98 depending on the low-density panel used. In general, the number of SNPs in the low-density panels had a greater influence on the accuracy of imputation than the size of the reference set. The accuracies of genomic predictions using imputed genotypes, ranging from 0.71 to 0.73, outperformed PBLUP (0.66) and were identical or very similar to the use of all true genotype data (0.73). The high imputation and genomic prediction accuracy suggest that the imputation of genotypes from low density (0.5 to 3 K) to high density (50 K) could be a cost-effective strategy for the feasibility of the practical implementation of genomic selection in Atlantic salmon.en
dc.description.affiliationFacultad de Ciencias Veterinarias y Pecuarias Universidad de Chile, Av. Santa Rosa 11735
dc.description.affiliationSchool of Agricultural and Veterinarian Sciences São Paulo State University (UNESP), Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane
dc.description.affiliationAquainnovo, Cardonal S/N
dc.description.affiliationThe Roslin Institute and Royal (Dick) School of Veterinary Studies University of Edinburgh
dc.description.affiliationNúcleo Milenio INVASAL
dc.description.affiliationUnespSchool of Agricultural and Veterinarian Sciences São Paulo State University (UNESP), Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane
dc.format.extent147-154
dc.identifierhttp://dx.doi.org/10.1016/j.aquaculture.2018.03.004
dc.identifier.citationAquaculture, v. 491, p. 147-154.
dc.identifier.doi10.1016/j.aquaculture.2018.03.004
dc.identifier.file2-s2.0-85044099550.pdf
dc.identifier.issn0044-8486
dc.identifier.scopus2-s2.0-85044099550
dc.identifier.urihttp://hdl.handle.net/11449/170787
dc.language.isoeng
dc.relation.ispartofAquaculture
dc.relation.ispartofsjr1,152
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectCost-effectiveness
dc.subjectGenome-wide association studies
dc.subjectGenomic selection
dc.subjectSalmo salar
dc.subjectSingle nucleotide polymorphism
dc.titleAccuracy of genotype imputation and genomic predictions in a two-generation farmed Atlantic salmon population using high-density and low-density SNP panelsen
dc.typeArtigo
unesp.author.orcid0000-0002-6612-4087 0000-0002-6612-4087 0000-0002-6612-4087[7]

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