Publications

Found 119 results
Filters: Author is Legarra, Andres  [Clear All Filters]
2019
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.
2018
Vitezica ZG, Reverter A, Herring W, Legarra A. Dominance and epistatic genetic variances for litter size in pigs using genomic models. Genet Sel Evol. 2018;50(1):71. doi:10.1186/s12711-018-0437-3.
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.
Varona L, Legarra A, Herring W, Vitezica ZG. Genomic selection models for directional dominance: an example for litter size in pigs. Genet Sel Evol. 2018;50(1):1. doi:10.1186/s12711-018-0374-1.
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.
Varona L, Legarra A, Toro MA, Vitezica ZG. Non-additive Effects in Genomic Selection. Front Genet. 2018;9:78. doi:10.3389/fgene.2018.00078.
Legarra A, Reverter A. Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method. Genet Sel Evol. 2018;50(1):53. doi:10.1186/s12711-018-0426-6.
2017
Fragomeni BO, Lourenco DAL, Masuda Y, Legarra A, Misztal I. Erratum to: Incorporation of causative quantitative trait nucleotides in single-step GBLUP. Genet Sel Evol. 2017;49(1):65. doi:10.1186/s12711-017-0341-2.
García-Baccino CA, Munilla S, Legarra A, et al. Estimates of the actual relationship between half-sibs in a pig population. J Anim Breed Genet. 2017;134(2):109-118. doi:10.1111/jbg.12236.
Perez-Enciso M, Forneris N, Campos Gde Los, Legarra A. Evaluating Sequence-Based Genomic Prediction with an Efficient New Simulator. Genetics. 2017;205(2):939-953. doi:10.1534/genetics.116.194878.
Colleau J-J, Palhière I, Rodriguez-Ramilo ST, Legarra A. A fast indirect method to compute functions of genomic relationships concerning genotyped and ungenotyped individuals, for diversity management. Genet Sel Evol. 2017;49(1):87. doi:10.1186/s12711-017-0363-9.
Baud A, Mulligan MK, Casale FPaolo, et al. Genetic Variation in the Social Environment Contributes to Health and Disease. PLoS Genet. 2017;13(1):e1006498. doi:10.1371/journal.pgen.1006498.
Fragomeni BO, Lourenco DAL, Masuda Y, Legarra A, Misztal I. Incorporation of causative quantitative trait nucleotides in single-step GBLUP. Genet Sel Evol. 2017;49(1):59. doi:10.1186/s12711-017-0335-0.
Forneris NS, Vitezica ZG, Legarra A, Perez-Enciso M. Influence of epistasis on response to genomic selection using complete sequence data. Genet Sel Evol. 2017;49(1):66. doi:10.1186/s12711-017-0340-3.
Misztal I, Legarra A. Invited review: efficient computation strategies in genomic selection. Animal. 2017;11(5):731-736. doi:10.1017/S1751731116002366.
Vitezica ZG, Legarra A, Toro MA, Varona L. Orthogonal estimates of variances for additive, dominance, and epistatic effects in populations. Genetics. 2017;206(3):1297-1307.
Fernández EN, Legarra A, Martínez R, Sánchez JP, Baselga M. Pedigree-based estimation of covariance between dominance deviations and additive genetic effects in closed rabbit lines considering inbreeding and using a computationally simpler equivalent model. J Anim Breed Genet. 2017;134(3):184-195. doi:10.1111/jbg.12267.
Fernández EN, Sánchez JP, Martínez R, Legarra A, Baselga M. Role of inbreeding depression, non-inbred dominance deviations and random year-season effect in genetic trends for prolificacy in closed rabbit lines. J Anim Breed Genet. 2017;134(6):441-452. doi:10.1111/jbg.12284.
Perez-Rodriguez P, Crossa J, Rutkoski J, et al. Single-Step Genomic and Pedigree Genotype x Environment Interaction Models for Predicting Wheat Lines in International Environments. Plant Genome. 2017;10(2):Non paginé.
Pérez-Rodríguez P, Crossa J, Rutkoski J, et al. Single-Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments. Plant Genome. 2017;10(2). doi:10.3835/plantgenome2016.09.0089.
Masuda Y, Misztal I, Legarra A, et al. Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient. J Anim Sci. 2017;95(1):49-52. doi:10.2527/jas.2016.0699.
Xiang T, Christensen OF, Legarra A. Technical note: Genomic evaluation for crossbred performance in a single-step approach with metafounders. J Anim Sci. 2017;95(4):1472-1480. doi:10.2527/jas.2016.1155.
2016
Xiang T, Nielsen B, Su G, Legarra A, Christensen OF. Application of single-step genomic evaluation for crossbred performance in pig. J Anim Sci. 2016;94(3):936-48. doi:10.2527/jas.2015-9930.
Pérez-Enciso M, Legarra A. A combined coalescence gene-dropping tool for evaluating genomic selection in complex scenarios (ms2gs). J Anim Breed Genet. 2016;133(2):85-91. doi:10.1111/jbg.12200.
Legarra A. Comparing estimates of genetic variance across different relationship models. Theor Popul Biol. 2016;107:26-30. doi:10.1016/j.tpb.2015.08.005.

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