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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
16/11/2017 |
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Data da última atualização: |
09/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
OLIVEIRA JÚNIOR, G. A.; CHUD, T. C. S.; VENTURA, R. V.; GARRICK, D. J.; COLE, J. B.; MUNARI, D. P.; FERRAZ, J. B. S.; MULLART, E.; DeNISE, S.; SMITH, S.; SILVA, M. V. G. B. |
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Afiliação: |
Gerson A. Oliveira Júnior, USP; Tatiane C. S. Chud, UNESP; Ricardo V. Ventura, University of Guelph, Guelph, Canada; Dorian J. Garrick, Iowa State University, Ames; John B. Cole, United States Department of Agriculture, Agricultural Research Service, Maryland, USA; Danísio Prado Munari, UNESP Jaboticabal; José B. S. Ferraz, USP; Erik Mullart, CRV Holding B. V., Arnhem, 454, the Netherlands; SUE DeNISE, Zoetis, Kalamazoo, MI; SHANNON SMITH, Zoetis, Kalamazoo, MI; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL. |
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Título: |
Genotype imputation in a tropical crossbred dairy cattle population. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Journal of Dairy Science, v. 100, n. 12, p. 9623-9634, 2017. |
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DOI: |
https://doi.org/10.3168/jds.2017-12732 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to investigate different strategies for genotype imputation in a population of crossbred Girolando (Gyr × Holstein) dairy cattle. The data set consisted of 478 Girolando, 583 Gyr, and 1,198 Holstein sires genotyped at high density with the Illumina BovineHD (Illumina, San Diego, CA) panel, which includes ∼777K markers. The accuracy of imputation from low (20K) and medium densities (50K and 70K) to the HD panel density and from low to 50K density were investigated. Seven scenarios using different reference populations (RPop) considering Girolando, Gyr, and Holstein breeds separately or combinations of animals of these breeds were tested for imputing genotypes of 166 randomly chosen Girolando animals. The population genotype imputation were performed using FImpute. Imputation accuracy was measured as the correlation between observed and imputed genotypes (CORR) and also as the proportion of genotypes that were imputed correctly (CR). This is the first paper on imputation accuracy in a Girolando population. The sample-specific imputation accuracies ranged from 0.38 to 0.97 (CORR) and from 0.49 to 0.96 (CR) imputing from low and medium densities to HD, and 0.41 to 0.95 (CORR) and from 0.50 to 0.94 (CR) for imputation from 20K to 50K. The CORRanim exceeded 0.96 (for 50K and 70K panels) when only Girolando animals were included in RPop (S1). We found smaller CORRanim when Gyr (S2) was used instead of Holstein (S3) as RPop. The same behavior was observed between S4 (Gyr + Girolando) and S5 (Holstein + Girolando) because the target animals were more related to the Holstein population than to the Gyr population. The highest imputation accuracies were observed for scenarios including Girolando animals in the reference population, whereas using only Gyr animals resulted in low imputation accuracies, suggesting that the haplotypes segregating in the Girolando population had a greater effect on accuracy than the purebred haplotypes. All chromosomes had similar imputation accuracies (CORRsnp) within each scenario. Crossbred animals (Girolando) must be included in the reference population to provide the best imputation accuracies. MenosThe objective of this study was to investigate different strategies for genotype imputation in a population of crossbred Girolando (Gyr × Holstein) dairy cattle. The data set consisted of 478 Girolando, 583 Gyr, and 1,198 Holstein sires genotyped at high density with the Illumina BovineHD (Illumina, San Diego, CA) panel, which includes ∼777K markers. The accuracy of imputation from low (20K) and medium densities (50K and 70K) to the HD panel density and from low to 50K density were investigated. Seven scenarios using different reference populations (RPop) considering Girolando, Gyr, and Holstein breeds separately or combinations of animals of these breeds were tested for imputing genotypes of 166 randomly chosen Girolando animals. The population genotype imputation were performed using FImpute. Imputation accuracy was measured as the correlation between observed and imputed genotypes (CORR) and also as the proportion of genotypes that were imputed correctly (CR). This is the first paper on imputation accuracy in a Girolando population. The sample-specific imputation accuracies ranged from 0.38 to 0.97 (CORR) and from 0.49 to 0.96 (CR) imputing from low and medium densities to HD, and 0.41 to 0.95 (CORR) and from 0.50 to 0.94 (CR) for imputation from 20K to 50K. The CORRanim exceeded 0.96 (for 50K and 70K panels) when only Girolando animals were included in RPop (S1). We found smaller CORRanim when Gyr (S2) was used instead of Holstein (S3) as RPop. The same behavior was obse... Mostrar Tudo |
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Palavras-Chave: |
Impute. |
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Thesaurus Nal: |
genotype; single nucleotide polymorphism. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 03028naa a2200289 a 4500
001 2079937
005 2024-02-09
008 2017 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3168/jds.2017-12732$2DOI
100 1 $aOLIVEIRA JÚNIOR, G. A.
245 $aGenotype imputation in a tropical crossbred dairy cattle population.$h[electronic resource]
260 $c2017
520 $aThe objective of this study was to investigate different strategies for genotype imputation in a population of crossbred Girolando (Gyr × Holstein) dairy cattle. The data set consisted of 478 Girolando, 583 Gyr, and 1,198 Holstein sires genotyped at high density with the Illumina BovineHD (Illumina, San Diego, CA) panel, which includes ∼777K markers. The accuracy of imputation from low (20K) and medium densities (50K and 70K) to the HD panel density and from low to 50K density were investigated. Seven scenarios using different reference populations (RPop) considering Girolando, Gyr, and Holstein breeds separately or combinations of animals of these breeds were tested for imputing genotypes of 166 randomly chosen Girolando animals. The population genotype imputation were performed using FImpute. Imputation accuracy was measured as the correlation between observed and imputed genotypes (CORR) and also as the proportion of genotypes that were imputed correctly (CR). This is the first paper on imputation accuracy in a Girolando population. The sample-specific imputation accuracies ranged from 0.38 to 0.97 (CORR) and from 0.49 to 0.96 (CR) imputing from low and medium densities to HD, and 0.41 to 0.95 (CORR) and from 0.50 to 0.94 (CR) for imputation from 20K to 50K. The CORRanim exceeded 0.96 (for 50K and 70K panels) when only Girolando animals were included in RPop (S1). We found smaller CORRanim when Gyr (S2) was used instead of Holstein (S3) as RPop. The same behavior was observed between S4 (Gyr + Girolando) and S5 (Holstein + Girolando) because the target animals were more related to the Holstein population than to the Gyr population. The highest imputation accuracies were observed for scenarios including Girolando animals in the reference population, whereas using only Gyr animals resulted in low imputation accuracies, suggesting that the haplotypes segregating in the Girolando population had a greater effect on accuracy than the purebred haplotypes. All chromosomes had similar imputation accuracies (CORRsnp) within each scenario. Crossbred animals (Girolando) must be included in the reference population to provide the best imputation accuracies.
650 $agenotype
650 $asingle nucleotide polymorphism
653 $aImpute
700 1 $aCHUD, T. C. S.
700 1 $aVENTURA, R. V.
700 1 $aGARRICK, D. J.
700 1 $aCOLE, J. B.
700 1 $aMUNARI, D. P.
700 1 $aFERRAZ, J. B. S.
700 1 $aMULLART, E.
700 1 $aDeNISE, S.
700 1 $aSMITH, S.
700 1 $aSILVA, M. V. G. B.
773 $tJournal of Dairy Science$gv. 100, n. 12, p. 9623-9634, 2017.
Download
Esconder MarcMostrar Marc Completo |
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Biblioteca |
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| Registros recuperados : 9 | |
| 1. |  | OLIVEIRA JUNIOR, G. A.; REY, F. S. B.; SILVA, M. V. G. B.; SANTANA, M. H. A.; ALEXANDRE, P. A.; ELER, J. P.; FERRAZ, J. B. S. Analysis of copy number variation regions in a Nellore population evaluated for feed efficiency. 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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| 2. | | OLIVEIRA JUNIOR, G. A.; CARMO, A. S.; UTSUNOMIYA, A. T. H.; CHUD, T. C. S.; REY, F. S. B.; FERRAZ, J. B. S.; SILVA, M. V. G. B. Common copy number variation regions affecting dairy traits in Gyr cattle In: ADSA ASAS JOINT ANNUAL MEETING, 2015, Orlando. Proceedings... Orlando: ADSA: ASAS, 2015.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 3. | | OLIVEIRA JUNIOR, G. A.; VENTURA, R.; FREITAS, B. G. de; SANTANA, M. H. A.; SILVA, M. V. G. B.; FERRAZ, J. B. S.; GARRICK, D. J. Genome-wide association study in reproductive trait of Nellore heifers. In: PLANT & ANIMAL GENOME, 24., 2016, San Diego. [Proceedings...] San Diego: [s.n.], 2016.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 4. | | CHUD, T. C. S.; SILVA, M. V. G. B.; CARMO, A. S.; SILVA, T. B. R.; OLIVEIRA JUNIOR, G. A.; REY, F. S. B.; MUNARI, D. P. Identification of copy number variation in Brazilian synthetic dairy cattle breed In: ADSA ASAS JOINT ANNUAL MEETING, 2015, Orlando. Proceedings... Orlando: ADSA: ASAS, 2015.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 5. | | OLIVEIRA JÚNIOR, G. A.; CHUD, T. C. S.; VENTURA, R. V.; GARRICK, D. J.; COLE, J. B.; MUNARI, D. P.; FERRAZ, J. B. S.; MULLART, E.; DeNISE, S.; SMITH, S.; SILVA, M. V. G. B. Genotype imputation in a tropical crossbred dairy cattle population. Journal of Dairy Science, v. 100, n. 12, p. 9623-9634, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
|  |
| 6. | | CARMO, A. S. do; OLIVEIRA JÚNIOR, G. A. de; CHUD, T. C. S.; PANETTO, J. C. do C.; VERNEQUE, R. da S.; MACHADO, M. A.; SILVA, M. V. G. B. Genome Wide CNVs analysis to identify variants associated with coat color in Gyr breed. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 52., 2015, Belo Horizonte. Zootecnia: otimizando recursos e potencialidades: anais. Belo Horizonte: Sociedade Brasileira de Zootecnia, 2015. 3 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 7. | | CARMO, A. S. do; OLIVEIRA JÚNIOR, G. A. de; CHUD, T. de O. S.; PANETTO, J. C. do C.; VERNEQUE, R. da S.; MACHADO, M. A.; COLE, J. B.; SILVA, M. V. G. B. Identificação de CNVs associados com características reprodutivas e produtivas em animais Gir Leiteiro. In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 25., 2015, Fortaleza. Dimensões tecnológicas e sociais da zootecnia: anais. Fortaleza: Sociedade Brasileira de Zootecnia, 2015. 3 p. ZOOTEC| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | PEREZ, B. C.; BALIEIRO, J. C. C.; OLIVEIRA JUNIOR, G. A.; ANDRIETTA, L. T.; VIZONÁ, R. G.; VENTURA, R. V.; BRUNELI, F. A. T.; PEIXOTO, M. G. C. D. State of inbreeding and genetic trends for estimated breeding values in IVF embryos and oocyte donors in the Brazilian Guzera cattle. Theriogenology, v. 125, p. 71-78, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 9. | | SANTANA, M. H. de A.; OLIVEIRA JUNIOR, G. A.; CESAR, A. S. M.; FREUA, M. C.; GOMES, R. da C.; SILVA, S. da L.; LEME, P. R.; FUKUMASU, H.; CARVALHO, M. E.; VENTURA, R. V.; COUTINHO, L. L.; KADARMIDEEN, H. N.; FERRAZ, J. B. S. Copy number variations and genome-wide associations reveal putative genes and metabolic pathways involved with the feed conversion ratio in beef cattle. Journal of Applied Gentics, v. 57, n. 4, p. 495-504, 2016| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Gado de Corte. |
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| Registros recuperados : 9 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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