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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
04/03/2020 |
Actualizado : |
29/05/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
LEGARRA, A.; AGUILAR, I.; COLLEAU, J.J. |
Afiliación : |
A. LEGARRA, UMR GenPhySE, INRA, France; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; J. J. COLLEAU, UMR GABI, INRA, AgroParisTech, Université Paris-Saclay, France. |
Título : |
Short communication: Methods to compute genomic inbreeding for ungenotyped individuals. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Journal of Dairy Science, April 2020, Volume 103, Issue 4, Pages 3363-3367. Doi: https://doi.org/10.3168/jds.2019-17750 |
ISSN : |
0022-0302 |
DOI : |
10.3168/jds.2019-17750 |
Idioma : |
Inglés |
Notas : |
Article history: Received October 15, 2019. / Accepted December 18, 2019.
Corresponding author: A. Legarra - email: andres.legarra@inra.fr
This study was partially funded by the INRA (Paris, France) SELGEN funding metaprogram (Project GDivSelGen) and FEDER (Poctefa funds, project ARDI). This project has received funding from the European Union's Horizon 2020 Research and Innovation programme under grant agreement no. 772787-SMARTER. |
Contenido : |
ABSTRACT.
The genomic measure of inbreeding is closer to the actual inbreeding than the pedigree-based measure. However, it cannot be computed for ungenotyped animals. An estimate of genomic inbreeding comes from the diagonal of matrix H used in single-step methods. This matrix projects genomic relationships to all ungenotyped members of the pedigree. The diagonal element of H−1 gives an estimate of the genomic inbreeding coefficient. However, so far no computational methods are available to compute the diagonal of H. Here we propose 3 exact methods to compute this diagonal. The first uses an already-existing algorithm to compute, for each ungenotyped individual, products of the form Hx to obtain the corresponding diagonal element of H. The second method computes, for each ungenotyped individual, a term that can be written as a quadratic form involving pedigree and genomic relationships. For both methods, the computational burden is linear in the number of ungenotyped animals. The last method reorders the computations of the second method so that they become linear in the number of genotyped animals, which is usually much smaller. We tested the methods in 3 small data sets (with ~2,000 genotyped animals and 30,000?500,000 animals in pedigree) and in a large simulated population (with 1,220,000 animals in pedigree and 36,000 genotyped animals). Tests resulted in satisfactory computing times (<10 min in the largest example using 10 parallel threads). Computing times were much shorter for the third method, as expected. Using these methods, estimates of genomic inbreeding in ungenotyped animals can be obtained on a regular basis.
© 2020 American Dairy Science Association MenosABSTRACT.
The genomic measure of inbreeding is closer to the actual inbreeding than the pedigree-based measure. However, it cannot be computed for ungenotyped animals. An estimate of genomic inbreeding comes from the diagonal of matrix H used in single-step methods. This matrix projects genomic relationships to all ungenotyped members of the pedigree. The diagonal element of H−1 gives an estimate of the genomic inbreeding coefficient. However, so far no computational methods are available to compute the diagonal of H. Here we propose 3 exact methods to compute this diagonal. The first uses an already-existing algorithm to compute, for each ungenotyped individual, products of the form Hx to obtain the corresponding diagonal element of H. The second method computes, for each ungenotyped individual, a term that can be written as a quadratic form involving pedigree and genomic relationships. For both methods, the computational burden is linear in the number of ungenotyped animals. The last method reorders the computations of the second method so that they become linear in the number of genotyped animals, which is usually much smaller. We tested the methods in 3 small data sets (with ~2,000 genotyped animals and 30,000?500,000 animals in pedigree) and in a large simulated population (with 1,220,000 animals in pedigree and 36,000 genotyped animals). Tests resulted in satisfactory computing times (<10 min in the largest example using 10 parallel threads). Computing times were... Presentar Todo |
Palabras claves : |
Genetic variability; Genomic selection; Inbreeding; Single step. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 02859naa a2200229 a 4500 001 1060890 005 2020-05-29 008 2020 bl uuuu u00u1 u #d 022 $a0022-0302 024 7 $a10.3168/jds.2019-17750$2DOI 100 1 $aLEGARRA, A. 245 $aShort communication$bMethods to compute genomic inbreeding for ungenotyped individuals.$h[electronic resource] 260 $c2020 500 $aArticle history: Received October 15, 2019. / Accepted December 18, 2019. Corresponding author: A. Legarra - email: andres.legarra@inra.fr This study was partially funded by the INRA (Paris, France) SELGEN funding metaprogram (Project GDivSelGen) and FEDER (Poctefa funds, project ARDI). This project has received funding from the European Union's Horizon 2020 Research and Innovation programme under grant agreement no. 772787-SMARTER. 520 $aABSTRACT. The genomic measure of inbreeding is closer to the actual inbreeding than the pedigree-based measure. However, it cannot be computed for ungenotyped animals. An estimate of genomic inbreeding comes from the diagonal of matrix H used in single-step methods. This matrix projects genomic relationships to all ungenotyped members of the pedigree. The diagonal element of H−1 gives an estimate of the genomic inbreeding coefficient. However, so far no computational methods are available to compute the diagonal of H. Here we propose 3 exact methods to compute this diagonal. The first uses an already-existing algorithm to compute, for each ungenotyped individual, products of the form Hx to obtain the corresponding diagonal element of H. The second method computes, for each ungenotyped individual, a term that can be written as a quadratic form involving pedigree and genomic relationships. For both methods, the computational burden is linear in the number of ungenotyped animals. The last method reorders the computations of the second method so that they become linear in the number of genotyped animals, which is usually much smaller. We tested the methods in 3 small data sets (with ~2,000 genotyped animals and 30,000?500,000 animals in pedigree) and in a large simulated population (with 1,220,000 animals in pedigree and 36,000 genotyped animals). Tests resulted in satisfactory computing times (<10 min in the largest example using 10 parallel threads). Computing times were much shorter for the third method, as expected. Using these methods, estimates of genomic inbreeding in ungenotyped animals can be obtained on a regular basis. © 2020 American Dairy Science Association 653 $aGenetic variability 653 $aGenomic selection 653 $aInbreeding 653 $aSingle step 700 1 $aAGUILAR, I. 700 1 $aCOLLEAU, J.J. 773 $tJournal of Dairy Science, April 2020, Volume 103, Issue 4, Pages 3363-3367. Doi: https://doi.org/10.3168/jds.2019-17750
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21. | | LEGARRA, A.; AGUILAR, I.; MISZTAL, I. Single step methods with a view towards poultry breeding. Volume Species Breeding: Poultry, 324. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.324. Acknowledgements: This work has been financed by X-Gen and GenSSeq actions from SelGen metaprogram (INRA).Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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25. | | LEGARRA, A.; AGUILAR, I.; COLLEAU, J.J. Short communication: Methods to compute genomic inbreeding for ungenotyped individuals. Journal of Dairy Science, April 2020, Volume 103, Issue 4, Pages 3363-3367. Doi: https://doi.org/10.3168/jds.2019-17750 Article history: Received October 15, 2019. / Accepted December 18, 2019.
Corresponding author: A. Legarra - email: andres.legarra@inra.fr
This study was partially funded by the INRA (Paris, France) SELGEN funding metaprogram (Project...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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29. | | PRAVIA, M.I.; NAVAJAS, E.; AGUILAR, I.; RAVAGNOLO, O. Alternative models to predict residual feed intake in Hereford breed and effects on their breeding values accuracy. [48] Part 6 - Challenges - resource allocation and genetics of feed intake and efficiency. In: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_48 240-243. Article history: Published online: February 9, 2023 -- Corresponding author: María Isabel Pravia, email: mpravia@inia.org.uyTipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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30. | | MASUDA, Y.; AGUILAR, I.; TSURUTA, S.; MISZTAL, I. Acceleration of computations in AI REML for single-step GBLUP models. Volume Methods and Tools: Statistical methods - linear and nonlinear models (Posters), 703. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.703.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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31. | | FRANCO, J.; FEED, O.; AGUILAR, I.; GIMENO, D.; NAVAJAS, E. ¿Afectamos la calidad del producto al cruzar? Calidad de la carne: pH y terneza. ln: INIA Tacuarembó. Seminario de actualización técnica, 23 de agosto, 2002. Cruzamientos en bovinos para carnes: Resultados FPTA 083. Tacuarembó, (Uruguay): INIA; Facultad de Agronomía, 2002. p. 63-67 (INIA Serie Actividades de Difusión ; 295) INIA Tacuarembó; Universidad de la República (Uruguay). Facultad de Agronomía; Universidad de la República (Uruguay). Facultad de Química; Frigorífico Tacuarembó; Universidad de la República (Uruguay). Facultad de Veterinaria; Caja...Biblioteca(s): INIA Tacuarembó. |
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36. | | BERMANN, M.; MISZTAL, I.; LOURENCO, D.; AGUILAR, I.; LEGARRA, A. Definition of reliabilities for models with metafounders. [289] Part 17 - Challenges - improving genomic prediction. In: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_289 1217-1220. Article history: Published online: February 9, 2023. -- Corresponding author: A. Legarra, email: andres.legarra@inrae.fr -- Acknowledgment: This work received financing from European Unions' Horizon 2020 Research & Innovation Programme,...Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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38. | | FRANCO, J.; FEED, O.; GIMENO, D.; AGUILAR, I.; AVENDAÑO, S. Como cambia el rendimiento carnicero con los cruzamientos: calidad de la canal. ln: INIA Tacuarembó. Seminario de actualización técnica, 23 de agosto, 2002. Cruzamientos en bovinos para carnes: Resultados FPTA 083. Tacuarembó, (Uruguay): INIA; Facultad de Agronomía, 2002. p. 31-37 (INIA Serie Actividades de Difusión ; 295) INIA Tacuarembó; Universidad de la República (Uruguay). Facultad de Agronomía; Universidad de la República (Uruguay). Facultad de Química; Frigorífico Tacuarembó; Universidad de la República (Uruguay). Facultad de Veterinaria; Caja NotarialBiblioteca(s): INIA Tacuarembó. |
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