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Registros recuperados : 25 | |
1. | | MOTA, R. R.; TEMPELMAN, R. J.; CARDOSO, F. F.; AGUILAR, I. G.; LOPES, P. S. Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm model. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. 1 CD-ROM. Biblioteca(s): Embrapa Pecuária Sul. |
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2. | | AGUILAR, I.; LEGARRA, A.; CARDOSO, F. F.; MASUDA, Y.; LOURENCO, D.; MISZTAL, I. Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle. Genetics Selection Evolution, v. 51, n. 28, 20 June 2019. Biblioteca(s): Embrapa Pecuária Sul. |
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3. | | MOTA, R. R.; SILVA, F. F.; LOPES, P. S.; TEMPELMAN, R. J.; SOLLERO, B. P.; AGUILAR, I.; CARDOSO, F. F. Analyses of reaction norms reveal new chromosome regions associated with tick resistance in cattle. Animal, v. 12, n. 2, p. 205-214, Feb. 2018. Biblioteca(s): Embrapa Pecuária Sul. |
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5. | | OLIVEIRA, M. M. de; GULIAS-GOMES, C. C.; ROSO, V. M.; CAETANO, A. R.; AGUILAR, I.; CARDOSO, F. F. Seleção genômica para resistência a carrapatos em bovinos Braford e Hereford. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 9., 2012, João Pessoa. Anais... João Pessoa: SBMA, 2012. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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6. | | OLIVEIRA, M. M. de; GULIAS-GOMES, C. C.; ROSO, V. M.; CAETANO, A. R.; AGUILAR, I.; CARDOSO, F. F. Seleção genômica para resistência a carrapatos em bovinos Braford e Hereford. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 9., 2012, João Pessoa. Anais... João Pessoa: SBMA, 2012. 1 CD-ROM. Biblioteca(s): Embrapa Pecuária Sul. |
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7. | | CARDOSO, F. F.; SOLLERO, B. P.; GOMES, C. C. G.; COMIN, H. B.; ROSO, V. M.; HIGA, R. H.; YOKOO, M. J.; CAETANO, A. R.; AGUILAR, I. Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. Não paginado. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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8. | | CARDOSO, F. F.; SOLLERO, B. P.; GOMES, C. C. G.; COMIN, H. B.; ROSO, V. M.; HIGA, R. H.; YOKOO, M. J.; CAETANO, A. R.; AGUILAR, I. Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. Não paginado. Biblioteca(s): Embrapa Agricultura Digital. |
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9. | | CARDOSO, F. F.; SOLLERO, B. P.; GULIAS-GOMES, C. C.; COMIN, H. B.; ROSO, V. M.; HIGA, R. H.; YOKOO, M. J. I.; CAETANO, A. R.; AGUILAR, I. Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. 1 CD-ROM. Biblioteca(s): Embrapa Pecuária Sul. |
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10. | | CARDOSO, F. F.; OLIVEIRA, M. M.; GOMES, C. C. G.; ROSO, V. M.; HIGA, R. H.; YOKOO, M. J.; CAETANO, A. R.; AGUILAR, I. Cluster cross-validation for genomic prediction of tick resistance in Braford and Hereford cattle. In: ANNUAL MEETING BRAZILIAN SOCIETY OF ANIMAL SCIENCE, 50., 2013, Campinas. The integration of knowledge in animal production: abstracts. Campinas: SBZ, 2013. Não paginado. Resumo 6HAX. Biblioteca(s): Embrapa Agricultura Digital. |
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11. | | CARDOSO, F. F.; OLIVEIRA, M. M.; GULIAS-GOMES, C. C.; ROSO, V. M.; HIGA, R. H.; YOKOO, M. J. I.; CAETANO, A. R.; AGUILAR, I. Cluster cross-validation for genomic prediction of tick resistance in Braford and Hereford cattle. In: ANNUAL MEETING BRAZILIAN SOCIETY OF ANIMAL SCIENCE, 50., 2013, Campinas. The integration of knowledge in animal production: abstracts. Campinas: SBZ, 2013. Não paginado. 1 CD-ROM. Resumo 6HAX. Biblioteca(s): Embrapa Pecuária Sul. |
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12. | | SILVA, D. A.; COSTA, C. N.; SILVA, A. A.; SILVA, H. T.; LOPES, P. S.; SILVA, F. F.; VERONEZE, R.; THOMPSON, G.; AGUILAR, I.; CARVALHEIRA, J. Autoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle. Journal of Animal Breeding and Genetics, v. 137, n. 3, p. 305-315, 2020. Biblioteca(s): Embrapa Gado de Leite. |
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13. | | CORTOPASSI-LAURINO, M.; IMPERATRIZ-FONSECA, V. L.; ROUBIK, D. W.; DOLLIN, A.; HEARD, T.; AGUILAR, I.; VENTURIERI, G. C.; EARDLEY, C.; NOGUEIRA-NETO, P. Global meliponiculture: challenges and opportunities. Apidologie, v. 37, n. 2, p. 275-292, Mar./Apr. 2006. Biblioteca(s): Embrapa Amazônia Oriental. |
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14. | | MOTA, R. R.; LOPES, P. S.; TEMPELMAN, R. J.; SILVA, F. F.; AGUILAR, I.; GULIAS GOMES, C. C.; CARDOSO, F. F. Genome-enabled prediction for tick resistance in Hereford and Braford beef cattle via reaction norm models. Journal of Animal Science, v. 94, n. 5, p. 1834-1843, May 2016. Biblioteca(s): Embrapa Pecuária Sul. |
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15. | | CARDOSO, F. F.; YOKOO, M. J. I.; GULIAS-GOMES, C. C.; SOLLERO, B. P.; COSTA, R. F. da; ROSO, V. M.; BRITO, F. V.; CAETANO, A. R.; AGUILAR, I. Avaliação genômica para resistência ao carrapato de touros Hereford e Braford: edição dezembro/2013. Bagé: Embrapa Pecuária Sul, 2013. 40 p. (Embrapa Pecuária Sul. Documentos, 133). Biblioteca(s): Embrapa Pecuária Sul. |
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16. | | CARDOSO, F. F.; YOKOO, M. J. I.; GULIAS-GOMES, C. C.; OLIVEIRA, M. M. de; TEIXEIRA, B. B. M.; ROSO, V. M.; BRITO, F. V.; CAETANO, A. R.; AGUILAR, I. Avaliação genômica de touros Hereford e Braford. Bagé: Embrapa Pecuária Sul, 2012. 32 p. il. (Embrapa Pecuária Sul. Documentos, 127). Biblioteca(s): Embrapa Pecuária Sul. |
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17. | | TONUSSI, R. L.; SILVA, R. M. de O.; MAGALHAES, A. F. B.; ESPIGOLAN, R.; PERIPOLLI, E.; OLIVIERI, B. F.; FEITOSA, F. L. B.; LEMOS, M. V. A.; BERTON, M. P.; CHIAIA, H. L. J.; PEREIRA, A. S. C.; LOBO, R. B.; BEZERRA, L. A. F.; MAGNABOSCO, C. de U.; LOURENÇO, D. A. L.; AGUILAR, I.; BALDI REY, F. S. Application of single step genomic BLUP under different uncertain paternity scenarios using simulated data. PLoS ONE, v. 12, n. 9, e0181752, 28 September 2017. Biblioteca(s): Embrapa Cerrados. |
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18. | | KLUSKA, S.; TONUSSI, R. L.; SILVA, R. M. de O.; OLIVERI, B. F.; FEITOSA, F. L. B.; PERIPOLLI, E.; LEMOS, M. V. A.; BERTON, M. P.; CHIAIA, H. L. J.; PEREIRA, A. S. C.; LOBO, R. B.; BEZERRA, L. A.; MAGNABOSCO, C. de U.; AGUILAR, I.; DI CROCE, F.; OSTERSTOCK, J.; BALDI REY, F. S. Caracterização do desequilíbrio de ligação em uma população de bovinos da raça Nelore. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto, SP. Fenômica e outras ômicas na produção animal: anais... Sertãozinho: Sociedade de Melhoramento Animal/Instituto de Zootecnia, 2017. SBMA 2017. 3 p. Biblioteca(s): Embrapa Cerrados. |
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19. | | CARDOSO, F. F.; GULIAS GOMES, C. C.; OLIVEIRA, M. M. de; ROSO, V. M.; PICCOLI, M. L.; BRITO, F. V.; HIGA, R. H.; PAIVA, S. R.; SILVA, M. V. G. B.; REGITANO, L. C. de A.; CAETANO, A. R.; AGUILAR, I. Predição da resistência genética ao carrapato de bovinos Braford e Hereford a partir de um painel denso de marcadores moleculares. Bagé: Embrapa Pecuária Sul, 2011. 6 p. il. (Embrapa Pecuária Sul. Circular Técnica, 41). Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sul. |
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20. | | CARDOSO, F. F.; GULIAS-GOMES, C. C.; OLIVEIRA, M. M.; ROSO, V. M.; PICCOLI, M. L.; BRITO, F. V.; HIGA, R. H.; PAIVA, S. R.; SILVA, M. V. G. B.; REGITANO, L. C. de A.; YOKOO, M. J.; CAETANO, A. R.; MISZTAL, I.; AGUILAR, I. Genomic selection for tick resistance in Braford and Hereford cattle using single-step methodology. In: CONFERENCE OF INTERNATIONAL SOCIETY FOR ANIMAL GENETICS, 33., 2012, Cairns. Programme and abstract book. Cairns: ISAG, 2012. p. 97-98. 1 CD-ROM. ISAG, 2012. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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Registros recuperados : 25 | |
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Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sul. |
Data corrente: |
06/01/2020 |
Data da última atualização: |
06/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
AGUILAR, I.; LEGARRA, A.; CARDOSO, F. F.; MASUDA, Y.; LOURENCO, D.; MISZTAL, I. |
Afiliação: |
Ignacio Aguilar, INIA; Andres Legarra, INRA; FERNANDO FLORES CARDOSO, CPPSUL; Yutaka Masuda, University of Georgia; Daniela Lourenco, University of Georgia; Ignacy Misztal, University of Georgia. |
Título: |
Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Genetics Selection Evolution, v. 51, n. 28, 20 June 2019. |
DOI: |
doi.org/10.1186/s12711-019-0469-3 |
Idioma: |
Inglês |
Conteúdo: |
Background: Single-step genomic best linear unbiased prediction (SSGBLUP) is a comprehensive method for genomic prediction. Point estimates of marker effects from SSGBLUP are often used for genome-wide association studies (GWAS) without a formal framework of hypothesis testing. Our objective was to implement p-values for singlemarker GWAS studies within the single-step GWAS (SSGWAS) framework by deriving computational algorithms and procedures, and by applying these to a large beef cattle population. Methods: P-values were obtained based on the prediction error (co)variances for single nucleotide polymorphisms (SNPs), which were obtained from the prediction error (co)variances of genomic predictions based on the inverse of the coefficient matrix and formulas to estimate SNP effects. Results: Computation of p-values took a negligible time for a dataset with almost 2 million animals in the pedigree and 1424 genotyped sires, and no inflation of statistics was observed. The SNPs that passed the Bonferroni threshold of 10-5.9 were the same as those that explained the highest proportion of additive genetic variance, but even at the same significance levels and effects, some of them explained less genetic variance due to lower allele frequency. Conclusions: The use of a p-value for SSGWAS is a very general and efficient strategy to identify quantitative trait loci (QTL). It can be used for complex datasets such as those used in animal breeding, where only a proportion of the pedigreed animals are genotyped. MenosBackground: Single-step genomic best linear unbiased prediction (SSGBLUP) is a comprehensive method for genomic prediction. Point estimates of marker effects from SSGBLUP are often used for genome-wide association studies (GWAS) without a formal framework of hypothesis testing. Our objective was to implement p-values for singlemarker GWAS studies within the single-step GWAS (SSGWAS) framework by deriving computational algorithms and procedures, and by applying these to a large beef cattle population. Methods: P-values were obtained based on the prediction error (co)variances for single nucleotide polymorphisms (SNPs), which were obtained from the prediction error (co)variances of genomic predictions based on the inverse of the coefficient matrix and formulas to estimate SNP effects. Results: Computation of p-values took a negligible time for a dataset with almost 2 million animals in the pedigree and 1424 genotyped sires, and no inflation of statistics was observed. The SNPs that passed the Bonferroni threshold of 10-5.9 were the same as those that explained the highest proportion of additive genetic variance, but even at the same significance levels and effects, some of them explained less genetic variance due to lower allele frequency. Conclusions: The use of a p-value for SSGWAS is a very general and efficient strategy to identify quantitative trait loci (QTL). It can be used for complex datasets such as those used in animal breeding, where only a proportion of the pedigr... Mostrar Tudo |
Palavras-Chave: |
Gado Angus; Predição Genômica. |
Thesagro: |
Bovino; Marcador Genético; Melhoramento Genético Animal. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/208156/1/Aguilar-et-al-GSE-51-28.pdf
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Marc: |
LEADER 02328naa a2200253 a 4500 001 2118159 005 2020-01-06 008 2019 bl uuuu u00u1 u #d 024 7 $adoi.org/10.1186/s12711-019-0469-3$2DOI 100 1 $aAGUILAR, I. 245 $aFrequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle.$h[electronic resource] 260 $c2019 520 $aBackground: Single-step genomic best linear unbiased prediction (SSGBLUP) is a comprehensive method for genomic prediction. Point estimates of marker effects from SSGBLUP are often used for genome-wide association studies (GWAS) without a formal framework of hypothesis testing. Our objective was to implement p-values for singlemarker GWAS studies within the single-step GWAS (SSGWAS) framework by deriving computational algorithms and procedures, and by applying these to a large beef cattle population. Methods: P-values were obtained based on the prediction error (co)variances for single nucleotide polymorphisms (SNPs), which were obtained from the prediction error (co)variances of genomic predictions based on the inverse of the coefficient matrix and formulas to estimate SNP effects. Results: Computation of p-values took a negligible time for a dataset with almost 2 million animals in the pedigree and 1424 genotyped sires, and no inflation of statistics was observed. The SNPs that passed the Bonferroni threshold of 10-5.9 were the same as those that explained the highest proportion of additive genetic variance, but even at the same significance levels and effects, some of them explained less genetic variance due to lower allele frequency. Conclusions: The use of a p-value for SSGWAS is a very general and efficient strategy to identify quantitative trait loci (QTL). It can be used for complex datasets such as those used in animal breeding, where only a proportion of the pedigreed animals are genotyped. 650 $aBovino 650 $aMarcador Genético 650 $aMelhoramento Genético Animal 653 $aGado Angus 653 $aPredição Genômica 700 1 $aLEGARRA, A. 700 1 $aCARDOSO, F. F. 700 1 $aMASUDA, Y. 700 1 $aLOURENCO, D. 700 1 $aMISZTAL, I. 773 $tGenetics Selection Evolution$gv. 51, n. 28, 20 June 2019.
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Embrapa Pecuária Sul (CPPSUL) |
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