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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
30/06/2021 |
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Actualizado : |
30/06/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
MISZTAL, I.; AGUILAR, I.; LOURENCO, D.; MA, L.; STEIBEL, J.P. |
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Afiliación : |
IGNACY MISZTAL, Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIELA LOURENCO, Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.; LI MA, Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA.; JUAN PEDRO STEIBEL, Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA. |
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Título : |
Emerging issues in genomic selection. |
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Complemento del título : |
Animal Genetics and Genomics. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Journal of Animal Science, June 2021, Volume 99, Issue 61, skab092. OPEN ACCESS. Doi: https://doi.org/10.1093/jas/skab092 |
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ISSN : |
1525-3163 |
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DOI : |
10.1093/jas/skab092 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 23 January 2021; Accepted 26 March 2021; Advance Access publication March 27, 2021.
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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
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Contenido : |
ABSTRACT. - Genomic selection (GS) is now practiced successfully across many species. However, many questions remain, such as long-term effects, estimations of genomic parameters, robustness of genome-wide association study (GWAS) with small and large datasets, and stability of genomic predictions. This study summarizes presentations from the authors at the 2020 American Society of Animal Science (ASAS) symposium. The focus of many studies until now is on linkage disequilibrium between two loci. Ignoring higher-level equilibrium may lead to phantom dominance and epistasis. The Bulmer effect leads to a reduction of the additive variance; however, the selection for increased recombination rate can release anew genetic variance. With genomic information, estimates of genetic parameters may be biased by genomic preselection, but costs of estimation can increase drastically due to the dense form of the genomic information. To make the computation of estimates feasible, genotypes could be retained only for the most important animals, and methods of estimation should use algorithms that can recognize dense blocks in sparse matrices. GWASs using small genomic datasets frequently find many marker-trait associations, whereas studies using much bigger datasets find only a few. Most of the current tools use very simple models for GWAS, possibly causing artifacts. These models are adequate for large datasets where pseudo-phenotypes such as deregressed proofs indirectly account for important effects for traits of interest. Artifacts arising in GWAS with small datasets can be minimized by using data from all animals (whether genotyped or not), realistic models, and methods that account for population structure. Recent developments permit the computation of P-values from genomic best linear unbiased prediction (GBLUP), where models can be arbitrarily complex but restricted to genotyped animals only, and single-step GBLUP that also uses phenotypes from ungenotyped animals. Stability was an important part of nongenomic evaluations, where genetic predictions were stable in the absence of new data even with low prediction accuracies. Unfortunately, genomic evaluations for such animals change because all animals with genotypes are connected. A top-ranked animal can easily drop in the next evaluation, causing a crisis of confidence in genomic evaluations. While correlations between consecutive genomic evaluations are high, outliers can have differences as high as 1 SD. A solution to fluctuating genomic evaluations is to base selection decisions on groups of animals. Although many issues in GS have been solved, many new issues that require additional research continue to surface.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science. MenosABSTRACT. - Genomic selection (GS) is now practiced successfully across many species. However, many questions remain, such as long-term effects, estimations of genomic parameters, robustness of genome-wide association study (GWAS) with small and large datasets, and stability of genomic predictions. This study summarizes presentations from the authors at the 2020 American Society of Animal Science (ASAS) symposium. The focus of many studies until now is on linkage disequilibrium between two loci. Ignoring higher-level equilibrium may lead to phantom dominance and epistasis. The Bulmer effect leads to a reduction of the additive variance; however, the selection for increased recombination rate can release anew genetic variance. With genomic information, estimates of genetic parameters may be biased by genomic preselection, but costs of estimation can increase drastically due to the dense form of the genomic information. To make the computation of estimates feasible, genotypes could be retained only for the most important animals, and methods of estimation should use algorithms that can recognize dense blocks in sparse matrices. GWASs using small genomic datasets frequently find many marker-trait associations, whereas studies using much bigger datasets find only a few. Most of the current tools use very simple models for GWAS, possibly causing artifacts. These models are adequate for large datasets where pseudo-phenotypes such as deregressed proofs indirectly account for import... Presentar Todo |
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Palabras claves : |
Genomic evaluation; Genomic selection; Genomwide association studies; Large data; Stability of genomic predictions. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
https://academic.oup.com/jas/article-pdf/99/6/skab092/38539545/skab092.pdf
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Marc : |
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022 $a1525-3163
024 7 $a10.1093/jas/skab092$2DOI
100 1 $aMISZTAL, I.
245 $aEmerging issues in genomic selection.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 23 January 2021; Accepted 26 March 2021; Advance Access publication March 27, 2021. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
520 $aABSTRACT. - Genomic selection (GS) is now practiced successfully across many species. However, many questions remain, such as long-term effects, estimations of genomic parameters, robustness of genome-wide association study (GWAS) with small and large datasets, and stability of genomic predictions. This study summarizes presentations from the authors at the 2020 American Society of Animal Science (ASAS) symposium. The focus of many studies until now is on linkage disequilibrium between two loci. Ignoring higher-level equilibrium may lead to phantom dominance and epistasis. The Bulmer effect leads to a reduction of the additive variance; however, the selection for increased recombination rate can release anew genetic variance. With genomic information, estimates of genetic parameters may be biased by genomic preselection, but costs of estimation can increase drastically due to the dense form of the genomic information. To make the computation of estimates feasible, genotypes could be retained only for the most important animals, and methods of estimation should use algorithms that can recognize dense blocks in sparse matrices. GWASs using small genomic datasets frequently find many marker-trait associations, whereas studies using much bigger datasets find only a few. Most of the current tools use very simple models for GWAS, possibly causing artifacts. These models are adequate for large datasets where pseudo-phenotypes such as deregressed proofs indirectly account for important effects for traits of interest. Artifacts arising in GWAS with small datasets can be minimized by using data from all animals (whether genotyped or not), realistic models, and methods that account for population structure. Recent developments permit the computation of P-values from genomic best linear unbiased prediction (GBLUP), where models can be arbitrarily complex but restricted to genotyped animals only, and single-step GBLUP that also uses phenotypes from ungenotyped animals. Stability was an important part of nongenomic evaluations, where genetic predictions were stable in the absence of new data even with low prediction accuracies. Unfortunately, genomic evaluations for such animals change because all animals with genotypes are connected. A top-ranked animal can easily drop in the next evaluation, causing a crisis of confidence in genomic evaluations. While correlations between consecutive genomic evaluations are high, outliers can have differences as high as 1 SD. A solution to fluctuating genomic evaluations is to base selection decisions on groups of animals. Although many issues in GS have been solved, many new issues that require additional research continue to surface. © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science.
653 $aGenomic evaluation
653 $aGenomic selection
653 $aGenomwide association studies
653 $aLarge data
653 $aStability of genomic predictions
700 1 $aAGUILAR, I.
700 1 $aLOURENCO, D.
700 1 $aMA, L.
700 1 $aSTEIBEL, J.P.
773 $tJournal of Animal Science, June 2021, Volume 99, Issue 61, skab092. OPEN ACCESS. Doi: https://doi.org/10.1093/jas/skab092
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| Registros recuperados : 6 | |
| 2. |  | MARÍN, M.F.; NAYA, H.; ESPASANDIN, A.C.; NAVAJAS, E.; DEVINCENZI, T.; CARRIQUIRY, M. Energy efficiency, reproductive performance, and metabolic parameters of grazing Hereford heifers. Livestock Science, 2024, Volume 279, e105389. https://doi.org/10.1016/j.livsci.2023.105389 Article history: Received 21 September 2023; Received in revised form 9 November 2023; Accepted 1 December 2023; Available online 2 December 2023. -- Correspondence: Marín, M.F.; Departamento de Producción Animal y Pasturas, Facultad de...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 3. | | MARÍN, M.F.; NAYA, H.; DEVINCENZI, T.; NAVAJAS, E.; ESPASANDIN, A. C.; CARRIQUIRY, M. Heart rate of grazing Hereford heifers classified by paternal RFI. [Poster] EAAP - 72nd Annual Meeting, Davos, Switzerland. Session 23, Poster 11. In: Annual Meeting of the European Federation of Animal Science (EAAP), 72., 30 August - 3 September 2021, Davos, Switzerland. Book of abstracts. Wageningen, NL: WAP, 2021. p.278. doi: https://doi.org/10.3920/978-90-8686-918-3 Conference website: www.eaap2021.org| Biblioteca(s): INIA Las Brujas. |
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| 4. | | MARÍN, M.F.; NAYA, H.; NAVAJAS, E.; DEVINCENZI, T.; ESPASANDIN, A.C.; CARRIQUIRY, M. O45 Energy efficiency of Hereford heifers classified by paternal Residual Feed Intake. [conference abstract]. Animal - science proceedings, August 2022, Volume 13, Issue 3, pages 298-299. https://doi.org/10.1016/j.anscip.2022.07.055 Article history: Available online 16 September 2022, Version of Record 16 September 2022. -- Funding: This work was possible given the postgraduate scholarship awarded to M.F. Marín by la Comisión Académica de Posgrados (Universidad de la...| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Las Brujas. |
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| 5. | | CARRIQUIRY, M.; MARIN, M.F.; DEVINCENZI, T.; CASAL, A.; NAVAJAS, E. O57. Energy efficiency of beef cattle in grazing production systems - I. Effect of selection for residual feed intake. [conference abstract]. Animal - science proceedings, July 2023, Volume 14, Issue 4, Page 581. https://doi.org/10.1016/j.anscip.2023.04.058 -- OPEN ACCESS. Article history: Available online 4 August 2023, Version of Record 4 August 2023. -- Corresponding author: M. Carriquiry. mcarriquiry@fagro.edu.uy --
Part of special issue: 11th International Symposium on the Nutrition of Herbivores...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 6. | | DEVINCENZI, T.; MARÍN, M.F.; CUADRO, P.; RUGGIA, A.; DEL PINO, M.L.; FRUGONI, J.C.; LEMA, O.M.; CALISTRO, A.; LUZARDO, S.; BRITO, G.; CARRIQUIRY, M.; ARMSTRONG, E.; PEÑAGARICANO, F.; JARA, E. Núcleo Informativo Hereford de la Unidad Glencoe? INIA Tacuarembó. Anuario Hereford (Montevideo), 2020, p. 214-215.| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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| Registros recuperados : 6 | |
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