Cargando…

Accuracy of genome-wide imputation in Braford and Hereford beef cattle

BACKGROUND: Strategies for imputing genotypes from the Illumina-Bovine3K, Illumina-BovineLD (6K), BeefLD-GGP (8K), a non-commercial-15K and IndicusLD-GGP (20K) to either Illumina-BovineSNP50 (50K) or to Illumina-BovineHD (777K) SNP panel, as well as for imputing from 50K, GGP-IndicusHD (90iK) and GG...

Descripción completa

Detalles Bibliográficos
Autores principales: Piccoli, Mario L, Braccini, José, Cardoso, Fernando F, Sargolzaei, Medhi, Larmer, Steven G, Schenkel, Flávio S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300607/
https://www.ncbi.nlm.nih.gov/pubmed/25543517
http://dx.doi.org/10.1186/s12863-014-0157-9
_version_ 1782353550094893056
author Piccoli, Mario L
Braccini, José
Cardoso, Fernando F
Sargolzaei, Medhi
Larmer, Steven G
Schenkel, Flávio S
author_facet Piccoli, Mario L
Braccini, José
Cardoso, Fernando F
Sargolzaei, Medhi
Larmer, Steven G
Schenkel, Flávio S
author_sort Piccoli, Mario L
collection PubMed
description BACKGROUND: Strategies for imputing genotypes from the Illumina-Bovine3K, Illumina-BovineLD (6K), BeefLD-GGP (8K), a non-commercial-15K and IndicusLD-GGP (20K) to either Illumina-BovineSNP50 (50K) or to Illumina-BovineHD (777K) SNP panel, as well as for imputing from 50K, GGP-IndicusHD (90iK) and GGP-BeefHD (90tK) to 777K were investigated. Imputation of low density (<50K) genotypes to 777K was carried out in either one or two steps. Imputation of ungenotyped parents (n = 37 sires) with four or more offspring to the 50K panel was also assessed. There were 2,946 Braford, 664 Hereford and 88 Nellore animals, from which 71, 59 and 88 were genotyped with the 777K panel, while all others had 50K genotypes. The reference population was comprised of 2,735 animals and 175 bulls for 50K and 777K, respectively. The low density panels were simulated by masking genotypes in the 50K or 777K panel for animals born in 2011. Analyses were performed using both Beagle and FImpute software. Genotype imputation accuracy was measured by concordance rate and allelic R(2) between true and imputed genotypes. RESULTS: The average concordance rate using FImpute was 0.943 and 0.921 averaged across all simulated low density panels to 50K or to 777K, respectively, in comparison with 0.927 and 0.895 using Beagle. The allelic R(2) was 0.912 and 0.866 for imputation to 50K or to 777K using FImpute, respectively, and 0.890 and 0.826 using Beagle. One and two steps imputation to 777K produced averaged concordance rates of 0.806 and 0.892 and allelic R(2) of 0.674 and 0.819, respectively. Imputation of low density panels to 50K, with the exception of 3K, had overall concordance rates greater than 0.940 and allelic R(2) greater than 0.919. Ungenotyped animals were imputed to 50K panel with an average concordance rate of 0.950 by FImpute. CONCLUSION: FImpute accuracy outperformed Beagle on both imputation to 50K and to 777K. Two-step outperformed one-step imputation for imputing to 777K. Ungenotyped animals that have four or more offspring can have their 50K genotypes accurately inferred using FImpute. All low density panels, except the 3K, can be used to impute to the 50K using FImpute or Beagle with high concordance rate and allelic R(2).
format Online
Article
Text
id pubmed-4300607
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-43006072015-01-22 Accuracy of genome-wide imputation in Braford and Hereford beef cattle Piccoli, Mario L Braccini, José Cardoso, Fernando F Sargolzaei, Medhi Larmer, Steven G Schenkel, Flávio S BMC Genet Research Article BACKGROUND: Strategies for imputing genotypes from the Illumina-Bovine3K, Illumina-BovineLD (6K), BeefLD-GGP (8K), a non-commercial-15K and IndicusLD-GGP (20K) to either Illumina-BovineSNP50 (50K) or to Illumina-BovineHD (777K) SNP panel, as well as for imputing from 50K, GGP-IndicusHD (90iK) and GGP-BeefHD (90tK) to 777K were investigated. Imputation of low density (<50K) genotypes to 777K was carried out in either one or two steps. Imputation of ungenotyped parents (n = 37 sires) with four or more offspring to the 50K panel was also assessed. There were 2,946 Braford, 664 Hereford and 88 Nellore animals, from which 71, 59 and 88 were genotyped with the 777K panel, while all others had 50K genotypes. The reference population was comprised of 2,735 animals and 175 bulls for 50K and 777K, respectively. The low density panels were simulated by masking genotypes in the 50K or 777K panel for animals born in 2011. Analyses were performed using both Beagle and FImpute software. Genotype imputation accuracy was measured by concordance rate and allelic R(2) between true and imputed genotypes. RESULTS: The average concordance rate using FImpute was 0.943 and 0.921 averaged across all simulated low density panels to 50K or to 777K, respectively, in comparison with 0.927 and 0.895 using Beagle. The allelic R(2) was 0.912 and 0.866 for imputation to 50K or to 777K using FImpute, respectively, and 0.890 and 0.826 using Beagle. One and two steps imputation to 777K produced averaged concordance rates of 0.806 and 0.892 and allelic R(2) of 0.674 and 0.819, respectively. Imputation of low density panels to 50K, with the exception of 3K, had overall concordance rates greater than 0.940 and allelic R(2) greater than 0.919. Ungenotyped animals were imputed to 50K panel with an average concordance rate of 0.950 by FImpute. CONCLUSION: FImpute accuracy outperformed Beagle on both imputation to 50K and to 777K. Two-step outperformed one-step imputation for imputing to 777K. Ungenotyped animals that have four or more offspring can have their 50K genotypes accurately inferred using FImpute. All low density panels, except the 3K, can be used to impute to the 50K using FImpute or Beagle with high concordance rate and allelic R(2). BioMed Central 2014-12-29 /pmc/articles/PMC4300607/ /pubmed/25543517 http://dx.doi.org/10.1186/s12863-014-0157-9 Text en © Piccoli et al.; licensee Biomed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Piccoli, Mario L
Braccini, José
Cardoso, Fernando F
Sargolzaei, Medhi
Larmer, Steven G
Schenkel, Flávio S
Accuracy of genome-wide imputation in Braford and Hereford beef cattle
title Accuracy of genome-wide imputation in Braford and Hereford beef cattle
title_full Accuracy of genome-wide imputation in Braford and Hereford beef cattle
title_fullStr Accuracy of genome-wide imputation in Braford and Hereford beef cattle
title_full_unstemmed Accuracy of genome-wide imputation in Braford and Hereford beef cattle
title_short Accuracy of genome-wide imputation in Braford and Hereford beef cattle
title_sort accuracy of genome-wide imputation in braford and hereford beef cattle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300607/
https://www.ncbi.nlm.nih.gov/pubmed/25543517
http://dx.doi.org/10.1186/s12863-014-0157-9
work_keys_str_mv AT piccolimariol accuracyofgenomewideimputationinbrafordandherefordbeefcattle
AT braccinijose accuracyofgenomewideimputationinbrafordandherefordbeefcattle
AT cardosofernandof accuracyofgenomewideimputationinbrafordandherefordbeefcattle
AT sargolzaeimedhi accuracyofgenomewideimputationinbrafordandherefordbeefcattle
AT larmersteveng accuracyofgenomewideimputationinbrafordandherefordbeefcattle
AT schenkelflavios accuracyofgenomewideimputationinbrafordandherefordbeefcattle