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Author(s): CHUD, T. C. S.; VENTURA, R. V.; SCHENKEL. F. S.; URBINATI, I.; CARVALHEIRO, R.; REGITANO, L. C. de A.; MARCONDES, C. R.; MINARI, D. P.
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Author(s): PICCOLI, M. L.; BRACINNI NETO, J.; CARDOSO, F. F.; SARGOLZAEI, M.; SCHENKEL, F. S. The main objective of this research was to test alternative low density SNP panels to impute Illumina 50K SNP panel genotypes in Braford and Hereford cattle. Genotypes from 3,768 Hereford, Braford and... ... |
Author(s): 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. 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 di... ... |
Author(s): SILVA, F. de L.; ROSA, A. do N.; SIQUEIRA, F.; MUDADU, M. de A.; REGITANO, L. C. de A.; MOURÃO, G. B.; ROSA, G. J. M. Genome wide-association studies (GWAS) generally require large numbers of individuals that are both phenotyped and desenly genotyped for markers across the genome. |
Author(s): PICCOLI, M. L.; BRACCINI, J. B.; CARDOSO, F. F.; SARGOLZAEI, M.; LARMER, S. G.; SCHENKEL, F. S.
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Author(s): SILVA, A. A.; SILVA, F. F.; SILVA, D. A.; SILVA, H. T.; COSTA, C. N.; LOPES, P. S.; VERONEZE, R.; THOMPSON, G.; CARVALHEIRA, J. Although several studies have investigated the factors affecting imputation accuracy, most of these studies involved a large number of genotyped animals. Thus, results from these studies cannot be dir... ... |
Author(s): BOISON, S. A.; SANTOS, D. J. A.; UTSONOMIYA, A. H. T.; CARVALHEIRO, R.; NEVES, H. H. R.; O'BRIEN, A. M. P.; GARCIA, J. F.; SÖLKNER, J.; SILVA, M. V. G. B. Genotype imputation is widely used as a cost-effective strategy in genomic evaluation of cattle. Key determinants of imputation accuracies, such as linkage disequilibrium patterns, marker densities, a... ... |
Author(s): BOISON, S. A.; SANTOS, D. J. A. dos; GARCIA, J. F.; SÖLKNER, J.; PEIXOTO, M. G. C. D.; SILVA, M. V. G. B.
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Author(s): CAMPOS, G. S.; CARDOSO, F. F.; GULIAS GOMES, C. C.; DOMINGUES, R.; REGITANO, L. C. de A.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. DE; CARVALHEIRO, R.; ALBUQUERQUE, L. G.; MILLER, S.; MISTZAL, I.; LOURENCO, D. Genomic prediction has become the new standard for genetic improvement programs, and currently, there is a desire to implement this technology for the evaluation of Angus cattle in Brazil. Thus, the m... ... |
Author(s): OLIVEIRA, A. A. de; GUIMARAES, L. J. M.; GUIMARÃES, C. T.; GUIMARAES, P. E. de O.; PINTO, M. de O.; PASTINA, M. M.; MARGARIDO, G. R. A. Genotyping-by-sequencing (GBS) datasets typically feature high rates of missingness and heterozygote undercalling, prompting the use of data imputation. We compared the accuracy of four imputation met... ... |
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