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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
15/02/2016 |
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Data da última atualização: |
06/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BOISON, S. A.; SANTOS, D. J. A.; UTSONOMIYA, A. H. T.; CARVALHEIRO, R.; NEVES, H. H. R.; O'BRIEN, A. M. P.; GARCIA, J. F.; SÖLKNER, J.; SILVA, M. V. G. B. |
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Afiliação: |
S. A. Boison, University of Natural Resources and Life Sciences, Vienna, Austria; D. J. A. Santos, UNESP; A. H. T. Utsunomiya, UNESP; R. Carvalheiro, UNESP; H. H. R. Neves, UNESP; A. M. Perez O'Brien, University of Natural Resources and Life Sciences, Vienna, Aústria; J. F. Garcia, UNESP; J. Sölkner, University of Natural Resources and Life Sciences, Vienna, Aústria; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL. |
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Título: |
Strategies for single nucleotide polymorphism (SNP) genotyping to enhance genotype imputation in Gyr (Bos indicus) dairy cattle: Comparison of commercially available SNP chips. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Journal of Dairy Science, v. 98, n. 7, p. 4969-4989, 2015. |
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Idioma: |
Português |
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Conteúdo: |
Genotype imputation is widely used as a cost-effective strategy in genomic evaluation of cattle. Key determinants of imputation accuracies, such as linkage disequilibrium patterns, marker densities, and ascertainment bias, differ between Bos indicus and Bos taurus breeds. Consequently, there is a need to investigate effectiveness of genotype imputation in indicine breeds. Thus, the objective of the study was to investigate strategies and factors affecting the accuracy of genotype imputation in Gyr (Bos indicus) dairy cattle. Four imputation scenarios were studied using 471 sires and 1,644 dams genotyped on Illumina BovineHD (HD-777K; San Diego, CA) and BovineSNP50 (50K) chips, respectively. Scenarios were based on which reference high-density single nucleotide polymorphism (SNP) panel (HDP) should be adopted [HD-777K, 50K, and GeneSeek GGP-75Ki (Lincoln, NE)]. Depending on the scenario, validation animals had their genotypes masked for one of the lower-density panels: Illumina (3K, 7K, and 50K) and GeneSeek (SGGP-20Ki and GGP-75Ki). We randomly selected 171 sires as reference and 300 as validation for all the scenarios. Additionally, all sires were used as reference and the 1,644 dams were imputed for validation. Genotypes of 98 individuals with 4 and more offspring were completely masked and imputed. Imputation algorithms FImpute and Beagle v3.3 and v4 were used. Imputation accuracies were measured using the correlation and allelic correct rate. FImpute resulted in highest accuracies, whereas Beagle 3.3 gave the least-accurate imputations. Accuracies evaluated as correlation (allelic correct rate) ranged from 0.910 (0.942) to 0.961 (0.974) using 50K as HDP and with 3K (7K) as low-density panels. With GGP-75Ki as HDP, accuracies were moderate for 3K, 7K, and 50K, but high for SGGP-20Ki. The use of HD-777K as HDP resulted in accuracies of 0.888 (3K), 0.941 (7K), 0.980 (SGGP-20Ki), 0.982 (50K), and 0.993 (GGP-75Ki). Ungenotyped individuals were imputed with an average accuracy of 0.970. The average top 5 kinship coefficients between reference and imputed individuals was a strong predictor of imputation accuracy. FImpute was faster and used less memory than Beagle v4. Beagle v4 outperformed Beagle v3.3 in accuracy and speed of computation. A genotyping strategy that uses the HD-777K SNP chip as a reference panel and SGGP-20Ki as the lower-density SNP panel should be adopted as accuracy was high and similar to that of the 50K. However, the effect of using imputed HD-777K genotypes from the SGGP-20Ki on genomic evaluation is yet to be studied. MenosGenotype imputation is widely used as a cost-effective strategy in genomic evaluation of cattle. Key determinants of imputation accuracies, such as linkage disequilibrium patterns, marker densities, and ascertainment bias, differ between Bos indicus and Bos taurus breeds. Consequently, there is a need to investigate effectiveness of genotype imputation in indicine breeds. Thus, the objective of the study was to investigate strategies and factors affecting the accuracy of genotype imputation in Gyr (Bos indicus) dairy cattle. Four imputation scenarios were studied using 471 sires and 1,644 dams genotyped on Illumina BovineHD (HD-777K; San Diego, CA) and BovineSNP50 (50K) chips, respectively. Scenarios were based on which reference high-density single nucleotide polymorphism (SNP) panel (HDP) should be adopted [HD-777K, 50K, and GeneSeek GGP-75Ki (Lincoln, NE)]. Depending on the scenario, validation animals had their genotypes masked for one of the lower-density panels: Illumina (3K, 7K, and 50K) and GeneSeek (SGGP-20Ki and GGP-75Ki). We randomly selected 171 sires as reference and 300 as validation for all the scenarios. Additionally, all sires were used as reference and the 1,644 dams were imputed for validation. Genotypes of 98 individuals with 4 and more offspring were completely masked and imputed. Imputation algorithms FImpute and Beagle v3.3 and v4 were used. Imputation accuracies were measured using the correlation and allelic correct rate. FImpute resulted in highest ... Mostrar Tudo |
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Palavras-Chave: |
FImpute; Gyr; Imputation. |
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Thesaurus Nal: |
Beagle. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/138978/1/Cnpgl-2015-JDairySci-Strategies.pdf
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Marc: |
LEADER 03421naa a2200265 a 4500
001 2036928
005 2024-02-06
008 2015 bl uuuu u00u1 u #d
100 1 $aBOISON, S. A.
245 $aStrategies for single nucleotide polymorphism (SNP) genotyping to enhance genotype imputation in Gyr (Bos indicus) dairy cattle$bComparison of commercially available SNP chips.$h[electronic resource]
260 $c2015
520 $aGenotype imputation is widely used as a cost-effective strategy in genomic evaluation of cattle. Key determinants of imputation accuracies, such as linkage disequilibrium patterns, marker densities, and ascertainment bias, differ between Bos indicus and Bos taurus breeds. Consequently, there is a need to investigate effectiveness of genotype imputation in indicine breeds. Thus, the objective of the study was to investigate strategies and factors affecting the accuracy of genotype imputation in Gyr (Bos indicus) dairy cattle. Four imputation scenarios were studied using 471 sires and 1,644 dams genotyped on Illumina BovineHD (HD-777K; San Diego, CA) and BovineSNP50 (50K) chips, respectively. Scenarios were based on which reference high-density single nucleotide polymorphism (SNP) panel (HDP) should be adopted [HD-777K, 50K, and GeneSeek GGP-75Ki (Lincoln, NE)]. Depending on the scenario, validation animals had their genotypes masked for one of the lower-density panels: Illumina (3K, 7K, and 50K) and GeneSeek (SGGP-20Ki and GGP-75Ki). We randomly selected 171 sires as reference and 300 as validation for all the scenarios. Additionally, all sires were used as reference and the 1,644 dams were imputed for validation. Genotypes of 98 individuals with 4 and more offspring were completely masked and imputed. Imputation algorithms FImpute and Beagle v3.3 and v4 were used. Imputation accuracies were measured using the correlation and allelic correct rate. FImpute resulted in highest accuracies, whereas Beagle 3.3 gave the least-accurate imputations. Accuracies evaluated as correlation (allelic correct rate) ranged from 0.910 (0.942) to 0.961 (0.974) using 50K as HDP and with 3K (7K) as low-density panels. With GGP-75Ki as HDP, accuracies were moderate for 3K, 7K, and 50K, but high for SGGP-20Ki. The use of HD-777K as HDP resulted in accuracies of 0.888 (3K), 0.941 (7K), 0.980 (SGGP-20Ki), 0.982 (50K), and 0.993 (GGP-75Ki). Ungenotyped individuals were imputed with an average accuracy of 0.970. The average top 5 kinship coefficients between reference and imputed individuals was a strong predictor of imputation accuracy. FImpute was faster and used less memory than Beagle v4. Beagle v4 outperformed Beagle v3.3 in accuracy and speed of computation. A genotyping strategy that uses the HD-777K SNP chip as a reference panel and SGGP-20Ki as the lower-density SNP panel should be adopted as accuracy was high and similar to that of the 50K. However, the effect of using imputed HD-777K genotypes from the SGGP-20Ki on genomic evaluation is yet to be studied.
650 $aBeagle
653 $aFImpute
653 $aGyr
653 $aImputation
700 1 $aSANTOS, D. J. A.
700 1 $aUTSONOMIYA, A. H. T.
700 1 $aCARVALHEIRO, R.
700 1 $aNEVES, H. H. R.
700 1 $aO'BRIEN, A. M. P.
700 1 $aGARCIA, J. F.
700 1 $aSÖLKNER, J.
700 1 $aSILVA, M. V. G. B.
773 $tJournal of Dairy Science$gv. 98, n. 7, p. 4969-4989, 2015.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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| Registros recuperados : 15 | |
| 2. |  | SANTIAGO, G. G.; SIQUEIRA, F.; BOISON, S. A.; CARDOSO, F. F.; REGITANO, L. C. de A.; TORRES JUNIOR, R. A. de A. Acurácia de imputação de genótipos para estudos de associação genômica em bovinos da raça Canchim. In: JORNADA CIENTÍFICA EMBRAPA GADO DE CORTE, 10., 2014, Campo Grande, MS. [Anais da..]. Campo Grande, MS: Embrapa Gado de Corte, 2014. p. 52-53. 2 p. (Embrapa Gado de Corte. Documentos, 208). Comissão organizadora: Grácia Maria Soares Rosinha, Alexandra Rocha de Oliveir, Rodrigo Carvalho Alva.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 3. | | SANTOS, D. J.; BOISON, S. A.; UTSUNOMIYA, Y. T.; PEIXOTO, M. G. C. D.; TONHATI, H.; SÖLKNER, J.; SILVA, M. V. G. B. An approach to genomic analysis of longitudinal data using random regression In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: ASAS, 2014. 3 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 4. | | BOISON, S. A.; NEVES, H. H. R.; O'BRIEN, A. M. P.; UTSUNOMIYA, Y. T.; CARVALHEIRO, R.; SILVA, M. V. G. B.; SÖLKNER, J.; GARCIA, J. F. Imputation of non-genotyped individuals using genotyped progeny in Nellore, a Bos indicus cattle breed. Livestock Science, v. 166, p. 176-189, 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite. |
|  |
| 5. | | MÉSZÁROS, G.; BOISON, S. A.; O'BRIEN, A. M. P.; FERENCAKOVIC, M.; CURIK, I.; SILVA, M. V. G. B.; UTSONOMIYA, Y. T.; GARCIA, J. F.; SÖLKNER, J. Genomic analysis for managing small and endangered populations: a case study in Tyrol Grey cattle. Frontiers in Genetics, v. 6, p. 192-203, 2015. Article 173.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 6. | | BOISON, S. A.; SANTOS, D. J. A. dos; GARCIA, J. F.; SÖLKNER, J.; PEIXOTO, M. G. C. D.; SILVA, M. V. G. B. Genomic Evaluation Using 50K and Imputed HD Genotypes in Guzera (Bos indicus) Breed. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: American Society of Animal Science, 2014. 3 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 7. | | BOISON, S. A.; UTSUNOMIYA, A. T. H.; SANTOS, D. J. A.; NEVES, H. H. R.; MÉSZÁROS, G.; CARVALHEIRO, R.; GARCIA, J. F.; SILVA, M. V. G. B.; SÖLKNER, J. Accuracy of genomic predictions for dairy traits in Gyr cattle (Bos indicus) Warsaw: EAAP, 2015.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | SILVA, M. V. G. B.; SANTOS, D. J. A. dos; BOISON, S. A.; UTSUNOMIYA, A. T. H.; CARMO, A. S.; SONSTEGARD, T. S.; COLE, J. B.; TASSELL, C. P. V. The development of genomics applied to dairy breeding. Livestock Science, v. 166, p. 66-75, 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 9. | | MACHADO, M. A.; UTSUNOMIYA, A. T. H.; BOISON, S. A.; SANTOS, D. J. A. dos; UTSUNOMIYA, Y. T.; FONSECA, R. da; SÖLKNER, J.; GARCIA, J. F.; VERNEQUE, R. da S.; SILVA, M. V. G. B. Genome Wide Association Study for Calving Interval in Gyr Dairy Cattle. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: American Society of Animal Science, 2014. 3 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 10. | | UTSUNOMIYA, A. T. H.; BOISON, S. A.; SANTOS, D. J. A. dos; UTSUNOMIYA, Y. T.; MACHADO, M. A.; VERNEQUE, R. da S.; SÖLKNER, J.; GARCIA, J. F.; FONSECA, R. da; SILVA, M. V. G. B. Genome Wide Scan for Age at First Calving in Gyr Dairy Cattle. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: American Society of Animal Science, 2014. 3 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 11. | | UTSUNOMIYA, A. T. H.; SANTOS, D. J. A.; BOISON, S. A.; UTSUNOMIYA, Y. T.; MILANESI, M.; BICKHART, D. M.; AJMONE-MARSAN, P.; SOLKNER, J.; GARCIA, J. F.; FONSECA, R. da; SILVA, M. V. G. B. Revealing misassembled segments in the bovine reference genome by high resolution linkage disequilibrium scan. BMC Genomics, v. 17, article 705, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | BOISON, S. A.; SANTOS, D. J. A.; UTSONOMIYA, A. H. T.; CARVALHEIRO, R.; NEVES, H. H. R.; O'BRIEN, A. M. P.; GARCIA, J. F.; SÖLKNER, J.; SILVA, M. V. G. B. Strategies for single nucleotide polymorphism (SNP) genotyping to enhance genotype imputation in Gyr (Bos indicus) dairy cattle: Comparison of commercially available SNP chips. Journal of Dairy Science, v. 98, n. 7, p. 4969-4989, 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 13. | | BOISON, S. A.; UTSUNOMIYA, A. T. H.; SANTOS, D. J. A.; NEVES, H. H. R.; CARVALHEIRO, R.; MÉSZÁROS, G.; UTSUNOMIYA, Y. T.; CARMO, A. S. do; VERNEQUE, R. da S.; MACHADO, M. A.; PANETTO, J. C. do C.; GARCIA, J. F.; SÖLKNER, J.; SILVA, M. V. G. B. Accuracy of genomic predictions in Gyr (Bos indicus) dairy cattle. Journal of Dairy Science, v. 100, n. 7, p. 5479-5490, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 14. | | O'BRIEN, A. M. P.; HÖLLER, D.; BOISON, S. A.; MILANESI, M.; BOMBA, L.; UTSUNOMIYA, Y. T.; CARVALHEIRO, R.; NEVES, H. H. R.; SILVA, M. V. G. B.; VAN TASSEL, C. P.; SOSTENGARD, T. S.; MÉSZÁROS, G.; AJMONE-MARSAN, P.; GARCIA, J. F.; SÖLKNER, J. Low levels of taurine introgression in the current Brazilian Nelore and Gir indicine cattle populations. Genetics Selection Evolution, v. 47, article 31, 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 15. | | SÖLKNER, J.; PEREZ O'BRIEN, A. M.; HÖLLER, D.; BOISON, S. A.; MILANESI, M.; BOMBA, L.; UTSUNOMIYA, Y. T.; CARVALHEIRO, R.; NEVES, H. H. R.; SILVA, M. V. G. B.; VAN TASSEL, C. P.; SOSTENGARD, T. S.; MÉSZÁROS, G.; AJMONE-MARSAN, P.; GARCIA, J. F. Zebuines kerngenom und taurine Mitochondrien: admixtur von Nelore, der größten brasilianischen rinderrasse. Nova Acta Leopoldina, NF 119, n. 404, p. 69-75, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 5 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 15 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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