Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1029694
Título: Strategies for genotype imputation in composite beef cattle.
Autoria: CHUD, T. C. S.
VENTURA, R. V.
SCHENKEL, F. S.
CARVALHEIRO, R.
BUZANSKAS, M. E.
ROSA, J. O.
MUDADU, M. de A.
SILVA, M. V. G. B.
MOKRY, F. B.
MARCONDES, C. R.
REGITANO, L. C. de A.
MUNARI, D. P.
Afiliação: TATIANE C. S. CHUD, UNESP; RICARDO V. VENTURA, UNESP; FLAVIO S. SCHENKEL, University of Guelph; ROBERTO CARVALHEIRO, UNESP; MARCOS E. BUZANSKAS, UNESP; JAQUELINE O. ROSA, UNESP; MAURICIO DE ALVARENGA MUDADU, CPPSE; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; FABIANA B. MOKRY, Federal University of São Carlos; CINTIA RIGHETTI MARCONDES, CPPSE; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; DANÍSIO P. MUNARI, UNESP.
Ano de publicação: 2015
Referência: BMC Genomics, v. 16, n. 99, 2015.
Páginas: 10 p.
Conteúdo: Genotype imputation has been used to increase genomic information, allow more animals in genome-wide analyses, and reduce genotyping costs. In Brazilian beef cattle production, many animals are resulting from crossbreeding and such an event may alter linkage disequilibrium patterns. Thus, the challenge is to obtain accurately imputed genotypes in crossbred animals. The objective of this study was to evaluate the best fitting and most accurate imputation strategy on the MA genetic group (the progeny of a Charolais sire mated with crossbred Canchim X Zebu cows) and Canchim cattle. The data set contained 400 animals (born between 1999 and 2005) genotyped with the Illumina BovineHD panel. Imputation accuracy of genotypes from the Illumina-Bovine3K (3K), Illumina-BovineLD (6K), GeneSeek-Genomic-Profiler (GGP) BeefLD (GGP9K), GGP-IndicusLD (GGP20Ki), Illumina-BovineSNP50 (50K), GGP-IndicusHD (GGP75Ki), and GGP-BeefHD (GGP80K) to Illumina-BovineHD (HD) SNP panels were investigated. Seven scenarios for reference and target populations were tested; the animals were grouped according with birth year (S1), genetic groups (S2 and S3), genetic groups and birth year (S4 and S5), gender (S6), and gender and birth year (S7). Analyses were performed using FImpute and BEAGLE software and computation run-time was recorded. Genotype imputation accuracy was measured by concordance rate (CR) and allelic R square (R2).
NAL Thesaurus: single nucleotide polymorphism
Palavras-chave: Canchim breed
Crossbred cattle
Genomic data
Low density panel
Digital Object Identifier: 10.1186/s12863-015-0251-7
Tipo do material: Artigo de periódico
Acesso: openAccess
Aparece nas coleções:Artigo em periódico indexado (CPPSE)

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