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| Registros recuperados : 27 | |
| 2. |  | SILVA, M. V. G. B.; VERARDO, L. L.; MACHADO, M. A.; PANETTO, J. C. do C.; CAROLINO, I.; CAROLINO, N. Candidate genes for disease, reproduction and meat quality traits in Portuguese native breeds. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 12., 2022, Rotterdam. Proceedings... Rotterdam: [s.n.], 2022.| Biblioteca(s): Embrapa Gado de Leite. |
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| 3. | | ALMEIDA, E. A. R.; PEREIRA, J. R.; CARVALHO, L. S.; SILVA, M. V. G. B.; MAGALHÃES, A. F. B.; VERARDO, L. L. Análises pós-estudo de associação no genoma de bovinos da raça Gir para a identificação de genes candidatos para perfil de ácidos graxos no leite. In: SIMPÓSIO DE PRODUÇÃO ANIMAL, 7.; SIMPÓSIO DO PROGRAMA DE PÓS-GRADUAÇÃO, 2.; SEMANA DA ZOOTECNIA, 15., 2023, Diamantina. Rumo ao futuro: [anais]. Diamantina: Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2023. p. 36-38.| Biblioteca(s): Embrapa Gado de Leite. |
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| 4. | | CARVALHO, L. S.; ALMEIDA, E. A. R.; SOUZA, K. G. L. de; SILVA, M. V. G. B.; MAGALHÃES, A. F. B.; VERARDO, L. L. Análise funcional de genes candidatos associados à resistência ao carrapato em bovinos da raça Gir. In: SIMPÓSIO DE PRODUÇÃO ANIMAL, 7.; SIMPÓSIO DO PROGRAMA DE PÓS-GRADUAÇÃO, 2.; SEMANA DA ZOOTECNIA, 15., 2023, Diamantina. Rumo ao futuro: [anais]. Diamantina: Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2023. p. 24-26.| Biblioteca(s): Embrapa Gado de Leite. |
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| 5. | | VERARDO, L. L.; SILVA, F. F.; VARONA, L.; RESENDE, M. D. V. de; BASTIAANSEN, J. W. M.; LOPES, P. S.; GUIMARÃES, S. E. F. Bayesian GWAS and network analysis revealed new candidate genes for number of teats in pigs. Journal of Applied Genetics, v. 56, n. 1, p. 123-132, Feb. 2015.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | FERNANDES, A. A. S.; VIEIRA, J. I. G.; FERREIRA, P. H.; MAGALHÃES, A. F. B.; SILVA, M. V. G. B.; VERARDO, L. L. An insertion in Caracu breed genome with a possible role in fatty acids profile. In: REUNIÃO DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 57., 2022, Campinas. Tropical animal science and pratice to feed the planet: proceedings. Brasília, DF: Sociedade Brasileira de Zootecnia; São Carlos, SP: Embrapa Pecuária Sudeste, 2022. p. 232.| Biblioteca(s): Embrapa Gado de Leite. |
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| 7. | | PANETTO, J. C. do C.; VERARDO, L. L.; MACHADO, M. A.; MARTINS, M. F.; FAZA, D. R. L. R.; SILVA, M. V. G. B. Genotype by environment interaction in Brazilian Dairy Gir cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland. Proceedings... [S.l.: s.n.], 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | VERARDO, L. L.; STAFUZZA, N. B.; MUNARI, D. P.; ZERLOTINI NETO, A.; CHUD, T. C. S.; GARRICK, D. J.; COLE, J. B.; PANETTO, J. C. do C.; MACHADO, M. A.; MARTINS, M. F.; SILVA, M. V. G. B. A gene-transcription factor network associated with residual feed intake based on SNVs/InDels identified in Gir, Girolando and Holstein cattle breeds. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland. Proceedings... [S.l.: s.n.], 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| 9. | | VERARDO, L. L.; STAFUZZA, N. B.; MUNARI, D. P.; ZERLOTINI NETO, A.; CHUD, T. C. S.; GARRICK, D. J.; COLE, J. B.; PANETTO, J. C. do C.; MACHADO, M. A.; MARTINS, M. F.; SILVA, M. V. G. B. A gene-transcription factor network associated with residual feed intake based on SNVs/InDels identified in Gir, Girolando and Holstein cattle breeds. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland. Proceedings... [S.l.: s.n.], 2018. 6 p. Na publicação: A. Zerlotini, J. C. C. Panetto. WCGALP 2018.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 10. | | DUARTE, D. A. S.; FORTES, M. R. S.; DUARTE, M. de S.; GUIMARÃES, S. E. F.; VERARDO, L. L.; VERONEZE, R.; RIBEIRO, A. M. F.; LOPES, P. S.; RESENDE, M. D. V. de; SILVA, F. F. e. Genome-wide association studies, meta-analyses and derived gene network for meat quality and carcass traits in pigs. Animal Production Science, v. 58, n. 6, p. 1100-1008, May 2018.| Biblioteca(s): Embrapa Florestas. |
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| 11. | | PEREIRA, H. P.; VERARDO, L. L.; WELLER, M. M. D. C. A.; SBARDELLA, A. P.; MUNARI, D. P.; DAIBERT, R. M. de P.; CARVALHO, W. A.; MACHADO, M. A.; MARTINS, M. F. Going further post-RNA-seq: in silico functional analyses revealing candidate genes and regulatory elements related to mastitis in dairy cattle. Journal of Dairy Research, v. 88, p. 286-292, 2021.| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | VERARDO, L. L.; NASCIMENTO, C. S.; SILVA, F. F.; GASPARINO, E.; MARTINS, M. F.; TORIYAMA, E.; FARIA, V. R.; BOTELHO, M. E.; COSTA, K. A.; LOPES, P. S.; GUIMARÃES, S. E. F. Identification and validation of differentially expressed genes from pig skeletal muscle. Journal of Animal Breeding and Genetics, v. 130, n. 5, p. 372-381, 2012.| Biblioteca(s): Embrapa Gado de Leite. |
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| 13. | | CAMPOS, B. M.; CARMO, A. S. do; SILVA, T. B. R. da; VERARDO, L. L.; GOUVEIA, J. J. de S.; MALHADO, C. H. M.; SILVA, M. V. G. B.; CARNEIRO, P. L. S. Identification of artificial selection signatures in Caracu breed lines selected for milk production and meat production. Livestock Science, v. 206, p. 82-87, 2017.| Biblioteca(s): Embrapa Gado de Leite. |
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| 14. | | VERARDO, L. L.; OTTO, P. I.; MACHADO, M. A.; PANETTO, J. C. do C.; REIS, D. R. de L.; EGITO, A. A. do; VITORINO, A. S. M.; CAROLINO, M. I. C. M.; CAROLINO, N. P.; SILVA, M. V. G. B. Exploring the genetic origin of Brazilian locally adapted breeds: admixture, population history and relationship with Portuguese and indicine cattle. Livestock Science, v. 282, 105455, 2024.| Biblioteca(s): Embrapa Gado de Leite. |
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| 15. | | NASCIMENTO, C. S.; PEIXOTO, J. de O.; VERARDO, L. L.; CAMPOS, C. F.; WELLER, M. M. C.; FARIA, V. R.; BOTELHO, M. E.; MARTINS, M. F.; MACHADO, M. A.; SILVA, F. F.; LOPES, P. S.; GUIMARÃES, S. E. F. Transcript profiling of expressed sequence tag from semimembranosus muscle of commercial and naturalized pig breeds. Genetics and Molecular Research, v. 11, n. 3, p. 3315-3328. 2012.| Biblioteca(s): Embrapa Gado de Leite. |
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| 16. | | SANTOS, C. G. dos; SOUSA, M. F.; VIEIRA, J. I. G.; MORAIS, L. R. de; FERNANDES, A. A. S.; LITTIERE, T. de O.; OTTO, P. I.; MACHADO, M. A.; SILVA, M. V. G. B.; BONAFÉ, C. M.; MAGALHÃES, A. F. B.; VERARDO, L. L. Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data. Journal of Applied Animal Research, v. 50, n. 1, p. 460-470, 2022.| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | VERARDO, L. L.; SILVA, F. F. e; MACHADO, M. A.; PANETTO, J. C. do C.; REIS, D. R. de L.; OTTO, P. I.; REGITANO, L. C. de A.; SILVA, L. O. C. da; EGITO, A. A. do; ALBUQUERQUE, M. do S. M.; ZANELLA, R.; SILVA, M. V. G. B. Genome-wide analyses reveal the genetic architecture and candidate genes of indicine, taurine, synthetic crossbreds, and locally adapted cattle in Brazil. Frontiers in Genetics, v. 12, article 702822, 2021.| Biblioteca(s): Embrapa Gado de Corte; Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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| 18. | | OTTO, P. I.; GUIMARÃES, S. E. F.; VERARDO, L. L.; AZEVEDO, A. L. S.; VANDENPLAS, J.; SEVILLANO, C. A.; MARQUES, D. B. D.; PIRES, M. de F. A.; FREITAS, C. de; VERNEQUE, R. da S.; MARTINS, M. F.; PANETTO, J. C. do C.; CARVALHO, W. A.; GOBO, D. O. R.; SILVA, M. V. G. B.; MACHADO, M. A. Genome-wide association studies for heat stress response in Bos taurus × Bos indicus crossbred cattle. Journal of Dairy Science, v. 102, n. 9, p. 8148-8158, 2019.| Biblioteca(s): Embrapa Gado de Leite. |
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| 19. | | OTTO, P. I.; GUIMARAES, S. E. F.; VERARDO, L. L.; AZEVEDO, A. L. S.; SEVILLANO, C. A.; PRATA, M. C. de A.; FURLONG, J.; FREITAS, C. de; VERNEQUE, R. da S.; MARTINS, M. F.; PANETTO, J. C. do C.; CARVALHO, W. A.; GARCIA, A. O.; DAIBERT, R. M. de P.; SILVA, M. V. G. B.; MACHADO, M. A. Genome wide association study for gastrointestinal nematodes resistance in Bos taurus x Bos indicus crossbred cattle. Livestock Science, v. 245, 104403, 2021. Short communication.| Biblioteca(s): Embrapa Gado de Leite. |
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| 20. | | CAMPOS, B. M.; CARMO, A. S. do; EGITO, A. A. do; MARIANTE, A. da S.; ALBUQUERQUE, M. S. M. do; GOUVEIA, J. J. S. de; MALHADO, C. H. M.; VERARDO, L. L.; SILVA, M. V. G. B. da; CARNEIRO, P. L. S. Genetic diversity, population structure, and correlations between locally adapted zebu and taurine breeds in Brazil using SNP markers. Tropical Animal Health and Production, v. 49, n. 8, p 1677-1684, 2017.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 27 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
10/06/2015 |
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Data da última atualização: |
02/03/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
VERARDO, L. L.; SILVA, F. F.; VARONA, L.; RESENDE, M. D. V. de; BASTIAANSEN, J. W. M.; LOPES, P. S.; GUIMARÃES, S. E. F. |
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Afiliação: |
UFV; UFV; Universidad de Zaragoza; MARCOS DEON VILELA DE RESENDE, CNPF; Wageningen University; UFV; UFV. |
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Título: |
Bayesian GWAS and network analysis revealed new candidate genes for number of teats in pigs. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Journal of Applied Genetics, v. 56, n. 1, p. 123-132, Feb. 2015. |
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DOI: |
10.1007/s13353-014-0240-y |
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Idioma: |
Inglês |
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Conteúdo: |
The genetic improvement of reproductive traits such as the number of teats is essential to the success of the pig industry. As opposite to most SNP association studies that consider continuous phenotypes under Gaussian assumptions, this trait is characterized as a discrete variable, which could potentially follow other distributions, such as the Poisson. Therefore, in order to access the complexity of a counting random regression considering all SNPs simultaneously as covariate under a GWAS modeling, the Bayesian inference tools become necessary. Currently, another point that deserves to be highlighted in GWAS is the genetic dissection of complex phenotypes through candidate genes network derived from significant SNPs. We present a full Bayesian treatment of SNP association analysis for number of teats assuming alternatively Gaussian and Poisson distributions for this trait. Under this framework, significant SNP effects were identified by hypothesis tests using 95 % highest posterior density intervals. These SNPs were used to construct associated candidate genes network aiming to explain the genetic mechanism behind this reproductive trait. The Bayesian model comparisons based on deviance posterior distribution indicated the superiority of Gaussian model. In general, our results suggest the presence of 19 significant SNPs, which mapped 13 genes. Besides, we predicted gene interactions through networks that are consistent with the mammals known breast biology (e.g., development of prolactin receptor signaling, and cell proliferation), captured known regulation binding sites, and provided candidate genes for that trait (e.g., TINAGL1 and ICK). MenosThe genetic improvement of reproductive traits such as the number of teats is essential to the success of the pig industry. As opposite to most SNP association studies that consider continuous phenotypes under Gaussian assumptions, this trait is characterized as a discrete variable, which could potentially follow other distributions, such as the Poisson. Therefore, in order to access the complexity of a counting random regression considering all SNPs simultaneously as covariate under a GWAS modeling, the Bayesian inference tools become necessary. Currently, another point that deserves to be highlighted in GWAS is the genetic dissection of complex phenotypes through candidate genes network derived from significant SNPs. We present a full Bayesian treatment of SNP association analysis for number of teats assuming alternatively Gaussian and Poisson distributions for this trait. Under this framework, significant SNP effects were identified by hypothesis tests using 95 % highest posterior density intervals. These SNPs were used to construct associated candidate genes network aiming to explain the genetic mechanism behind this reproductive trait. The Bayesian model comparisons based on deviance posterior distribution indicated the superiority of Gaussian model. In general, our results suggest the presence of 19 significant SNPs, which mapped 13 genes. Besides, we predicted gene interactions through networks that are consistent with the mammals known breast biology (e.g., developme... Mostrar Tudo |
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Palavras-Chave: |
Counting data; Inferência Bayesiana; SNP association; Teta de porco; Trato reprodutivo. |
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Thesagro: |
Gene; Melhoramento Genético Animal; Suíno. |
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Thesaurus NAL: |
genes; reproductive traits. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02629naa a2200325 a 4500
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024 7 $a10.1007/s13353-014-0240-y$2DOI
100 1 $aVERARDO, L. L.
245 $aBayesian GWAS and network analysis revealed new candidate genes for number of teats in pigs.$h[electronic resource]
260 $c2015
520 $aThe genetic improvement of reproductive traits such as the number of teats is essential to the success of the pig industry. As opposite to most SNP association studies that consider continuous phenotypes under Gaussian assumptions, this trait is characterized as a discrete variable, which could potentially follow other distributions, such as the Poisson. Therefore, in order to access the complexity of a counting random regression considering all SNPs simultaneously as covariate under a GWAS modeling, the Bayesian inference tools become necessary. Currently, another point that deserves to be highlighted in GWAS is the genetic dissection of complex phenotypes through candidate genes network derived from significant SNPs. We present a full Bayesian treatment of SNP association analysis for number of teats assuming alternatively Gaussian and Poisson distributions for this trait. Under this framework, significant SNP effects were identified by hypothesis tests using 95 % highest posterior density intervals. These SNPs were used to construct associated candidate genes network aiming to explain the genetic mechanism behind this reproductive trait. The Bayesian model comparisons based on deviance posterior distribution indicated the superiority of Gaussian model. In general, our results suggest the presence of 19 significant SNPs, which mapped 13 genes. Besides, we predicted gene interactions through networks that are consistent with the mammals known breast biology (e.g., development of prolactin receptor signaling, and cell proliferation), captured known regulation binding sites, and provided candidate genes for that trait (e.g., TINAGL1 and ICK).
650 $agenes
650 $areproductive traits
650 $aGene
650 $aMelhoramento Genético Animal
650 $aSuíno
653 $aCounting data
653 $aInferência Bayesiana
653 $aSNP association
653 $aTeta de porco
653 $aTrato reprodutivo
700 1 $aSILVA, F. F.
700 1 $aVARONA, L.
700 1 $aRESENDE, M. D. V. de
700 1 $aBASTIAANSEN, J. W. M.
700 1 $aLOPES, P. S.
700 1 $aGUIMARÃES, S. E. F.
773 $tJournal of Applied Genetics$gv. 56, n. 1, p. 123-132, Feb. 2015.
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