Evaluation of imputation accuracy using the combination of two high-density panels in nelore beef cattle.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1115563 |
Resumo: | this study compared imputation from lower-density commercial and customized panels to high-density panels and a combined panel (Illumina and Affymetrix) in Nelore beef cattle. Additionally, linkage disequilibrium and haplotype block conformation were estimated in individual high-density panels and compared with corresponding values in the combined panel after imputation. Overall, 814 animals were genotyped using BovineHD BeadChip (IllumHD), and 93 of these animals were also genotyped using the Axion Genome-Wide BOS 1 Array Plate (AffyHD). In general, customization considering linkage disequilibrium and minor allele frequency had the highest accuracies. The IllumHD panel had higher values of linkage disequilibrium for short distances between SNPs than AffyHD and the combined panel. The combined panel had an increased number of small haplotype blocks. The use of a combined panel is recommended due to its increased density and number of haplotype blocks, which in turn increase the probability of a marker being close to a quantitative trait locus of interest. Considering common SNPs between IllumHD and AffyHD for the customization of a low-density panel increases the imputation accuracy for IllumHD, AffyHD and the combined panel. |
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Evaluation of imputation accuracy using the combination of two high-density panels in nelore beef cattle.BovinoGado de CorteBeef cattleAnimal breedingthis study compared imputation from lower-density commercial and customized panels to high-density panels and a combined panel (Illumina and Affymetrix) in Nelore beef cattle. Additionally, linkage disequilibrium and haplotype block conformation were estimated in individual high-density panels and compared with corresponding values in the combined panel after imputation. Overall, 814 animals were genotyped using BovineHD BeadChip (IllumHD), and 93 of these animals were also genotyped using the Axion Genome-Wide BOS 1 Array Plate (AffyHD). In general, customization considering linkage disequilibrium and minor allele frequency had the highest accuracies. The IllumHD panel had higher values of linkage disequilibrium for short distances between SNPs than AffyHD and the combined panel. The combined panel had an increased number of small haplotype blocks. The use of a combined panel is recommended due to its increased density and number of haplotype blocks, which in turn increase the probability of a marker being close to a quantitative trait locus of interest. Considering common SNPs between IllumHD and AffyHD for the customization of a low-density panel increases the imputation accuracy for IllumHD, AffyHD and the combined panel.Priscila Arrigucci Bernardes, UNESP; Guilherme Batista do Nascimento, Centro Universitário de Adamantina; Rodrigo Pelicioni Savegnago, Instituto de Zootecnia; Marcos Eli Buzanskas, Universidade Federal da Paraiba; Rafael Nakamura Watanabe, UNESP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; Luiz Lehmann Coutinho, USP; Cedric Gondro, Michigan State University; Danísio Prado Munari, UNESP.BERNARDESNASCIMENTO, G. B. doSAVEGNAGO, R. P.BUZANSKAS, M. E.WATANABE, R. N.REGITANO, L. C. de A.COUTINHO, L. L.GONDRO, C.MUNARI, D. P.2019-11-30T00:36:19Z2019-11-30T00:36:19Z2019-11-2920192020-01-10T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleScientific Reports, v. 9, 17920, 2019.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1115563doi.org/10.1038/s41598-019-54382-wenginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-11-30T00:36:26Zoai:www.alice.cnptia.embrapa.br:doc/1115563Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-11-30T00:36:26falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-11-30T00:36:26Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Evaluation of imputation accuracy using the combination of two high-density panels in nelore beef cattle. |
title |
Evaluation of imputation accuracy using the combination of two high-density panels in nelore beef cattle. |
spellingShingle |
Evaluation of imputation accuracy using the combination of two high-density panels in nelore beef cattle. BERNARDES Bovino Gado de Corte Beef cattle Animal breeding |
title_short |
Evaluation of imputation accuracy using the combination of two high-density panels in nelore beef cattle. |
title_full |
Evaluation of imputation accuracy using the combination of two high-density panels in nelore beef cattle. |
title_fullStr |
Evaluation of imputation accuracy using the combination of two high-density panels in nelore beef cattle. |
title_full_unstemmed |
Evaluation of imputation accuracy using the combination of two high-density panels in nelore beef cattle. |
title_sort |
Evaluation of imputation accuracy using the combination of two high-density panels in nelore beef cattle. |
author |
BERNARDES |
author_facet |
BERNARDES NASCIMENTO, G. B. do SAVEGNAGO, R. P. BUZANSKAS, M. E. WATANABE, R. N. REGITANO, L. C. de A. COUTINHO, L. L. GONDRO, C. MUNARI, D. P. |
author_role |
author |
author2 |
NASCIMENTO, G. B. do SAVEGNAGO, R. P. BUZANSKAS, M. E. WATANABE, R. N. REGITANO, L. C. de A. COUTINHO, L. L. GONDRO, C. MUNARI, D. P. |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Priscila Arrigucci Bernardes, UNESP; Guilherme Batista do Nascimento, Centro Universitário de Adamantina; Rodrigo Pelicioni Savegnago, Instituto de Zootecnia; Marcos Eli Buzanskas, Universidade Federal da Paraiba; Rafael Nakamura Watanabe, UNESP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; Luiz Lehmann Coutinho, USP; Cedric Gondro, Michigan State University; Danísio Prado Munari, UNESP. |
dc.contributor.author.fl_str_mv |
BERNARDES NASCIMENTO, G. B. do SAVEGNAGO, R. P. BUZANSKAS, M. E. WATANABE, R. N. REGITANO, L. C. de A. COUTINHO, L. L. GONDRO, C. MUNARI, D. P. |
dc.subject.por.fl_str_mv |
Bovino Gado de Corte Beef cattle Animal breeding |
topic |
Bovino Gado de Corte Beef cattle Animal breeding |
description |
this study compared imputation from lower-density commercial and customized panels to high-density panels and a combined panel (Illumina and Affymetrix) in Nelore beef cattle. Additionally, linkage disequilibrium and haplotype block conformation were estimated in individual high-density panels and compared with corresponding values in the combined panel after imputation. Overall, 814 animals were genotyped using BovineHD BeadChip (IllumHD), and 93 of these animals were also genotyped using the Axion Genome-Wide BOS 1 Array Plate (AffyHD). In general, customization considering linkage disequilibrium and minor allele frequency had the highest accuracies. The IllumHD panel had higher values of linkage disequilibrium for short distances between SNPs than AffyHD and the combined panel. The combined panel had an increased number of small haplotype blocks. The use of a combined panel is recommended due to its increased density and number of haplotype blocks, which in turn increase the probability of a marker being close to a quantitative trait locus of interest. Considering common SNPs between IllumHD and AffyHD for the customization of a low-density panel increases the imputation accuracy for IllumHD, AffyHD and the combined panel. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-11-30T00:36:19Z 2019-11-30T00:36:19Z 2019-11-29 2019 2020-01-10T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Scientific Reports, v. 9, 17920, 2019. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1115563 doi.org/10.1038/s41598-019-54382-w |
identifier_str_mv |
Scientific Reports, v. 9, 17920, 2019. doi.org/10.1038/s41598-019-54382-w |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1115563 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503484947562496 |