Modélisation Génétique et Génomique

MG2 Research Activities

Our research contributes to the development and use of methodologies for genetic and genomic evaluation and prediction, for genetic management of populations, and for the localization and use of major genes and QTLs, all of it in livestock populations.

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Latest News

ARDI Project

GenPhySE participates in the Poctefa project “ARDI" for the joint development of dairy sheep breeds across the Pyrenees, financed by FEDER funds.
More information on the project can be found on the ARDI website .

Read more about ARDI Project

Members

Researchers
Jean-Michel Elsen
Andrés Legarra	Webpage
Anne Ricard
Christèle Robert-Granié
Silvia Rodriguez Ramilo
Zulma Vitezica

PhD Students
Fernando Macedo
Estelle Talouarn
Marc Teissier

Temporary
Marjorie Chassier

Former Members
Eduardo Manfredi

Contact

Andrés Legarra

Publications

2019

Aguilar I, Legarra A, Cardoso F, Masuda Y, Lourenco D, Misztal I. Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle. Genet Sel Evol. 2019;51(1):28. doi:10.1186/s12711-019-0469-3.
Arnal M, Larroque H, Leclerc H, Ducrocq V, Robert-Granie C. Genetic parameters for first lactation dairy traits in the Alpine and Saanen goat breeds using a random regression test-day model. Genet Sel Evol. 2019;51(1):43. doi:10.1186/s12711-019-0485-3.
Bradford HL, Masuda Y, VanRaden PM, Legarra A, Misztal I. Modeling missing pedigree in single-step genomic BLUP. J Dairy Sci. 2019;102(3):2336-2346. doi:10.3168/jds.2018-15434.
Teissier M, Larroque H, Robert-Granié C. Accuracy of genomic evaluation with weighted single-step genomic best linear unbiased prediction for milk production traits, udder type traits, and somatic cell scores in French dairy goats. J Dairy Sci. 2019;102(4):3142-3154. doi:10.3168/jds.2018-15650.
Rodríguez-Ramilo ST, Elsen JM, Legarra A. Inbreeding and effective population size in French dairy sheep: Comparison between genomic and pedigree estimates. J Dairy Sci. 2019;102(5):4227-4237. doi:10.3168/jds.2018-15405.

2018

Alanoshahr FF, Rafat SA, Alanoshahr RF, Alijani S, Robert-Granié C. The Impact of Different Genetic Architectures on Accuracy of Genomic Selection Using Three Bayesian Methods. Iranian Journal of Applied Animal Science. 2018;8(1):53-59.
Teissier M, Larroque H, Robert-Granie C. Weighted single-step genomic BLUP improves accuracy of genomic breeding values for protein content in French dairy goats: a quantitative trait influenced by a major gene. Genet Sel Evol. 2018;50(1):31. doi:10.1186/s12711-018-0400-3.
Xiang T, Christensen OFredslund, Vitezica ZGladis, Legarra A. Genomic Model with Correlation Between Additive and Dominance Effects. Genetics. 2018;209(3):711-723. doi:10.1534/genetics.118.301015.
Sciara AA, Rodriguez-Ramilo ST, Hermida M, et al. Validation of growth-related quantitative trait loci markers in turbot (Scophthalmus maximus) families as a step toward marker assisted selection. Aquaculture. 2018;495:602-610.
Legarra A, Ricard A, Varona L. GWAS by GBLUP: Single and Multimarker EMMAX and Bayes Factors, with an Example in Detection of a Major Gene for Horse Gait. G3 (Bethesda). 2018;8(7):2301-2308. doi:10.1534/g3.118.200336.

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