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2020
Reverter A, Vitezica ZG, Naval-Sánchez M, et al. Association analysis of loci implied in "buffering" epistasis. J Anim Sci. 2020;98(3). doi:10.1093/jas/skaa045.
Macedo FL, Reverter A, Legarra A. Behavior of the Linear Regression method to estimate bias and accuracies with correct and incorrect genetic evaluation models. J Dairy Sci. 2020;103(1):529-544. doi:10.3168/jds.2019-16603.
Macedo FL, Christensen OF, Astruc J-M, Aguilar I, Masuda Y, Legarra A. Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups. Genet Sel Evol. 2020;52(1):47. doi:10.1186/s12711-020-00567-1.
Aguilar I, Fernandez EN, Blasco A, Ravagnolo O, Legarra A. Effects of ignoring inbreeding in model-based accuracy for BLUP and SSGBLUP. J Anim Breed Genet. 2020. doi:10.1111/jbg.12470.
2019
Fragomeni BO, Lourenco DAL, Legarra A, VanRaden PM, Misztal I. Alternative SNP weighting for single-step genomic best linear unbiased predictor evaluation of stature in US Holsteins in the presence of selected sequence variants. J Dairy Sci. 2019;102(11):10012-10019. doi:10.3168/jds.2019-16262.
Tusell L, Gilbert H, Vitezica ZG, Mercat MJ, Legarra A, Larzul C. Dissecting total genetic variance into additive and dominance components of purebred and crossbred pig traits. Animal. 2019;13(11):2429-2439. doi:10.1017/S1751731119001046.
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.
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.
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, Rodríguez-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.

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