Publications

Found 113 results
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2022
Legarra A, González-Diéguez D, Vitezica ZG. Computing strategies for multi-population genomic evaluation. Genet Sel Evol. 2022;54(1):10. doi:10.1186/s12711-022-00705-x.
2021
Legarra A, Garcia-Baccino CA, Wientjes YCJ, Vitezica ZG. The correlation of substitution effects across populations and generations in the presence of nonadditive functional gene action. Genetics. 2021. doi:10.1093/genetics/iyab138.
Garcia-Baccino CAndrea, Marie-Etancelin C, Tortereau F, Marcon D, Weisbecker J-L, Legarra A. Detection of unrecorded environmental challenges in high-frequency recorded traits, and genetic determinism of resilience to challenge, with an application on feed intake in lambs. Genet Sel Evol. 2021;53(1):4. doi:10.1186/s12711-020-00595-x.
Abdollahi-Arpanahi R, Lourenco D, Legarra A, Misztal I. Dissecting genetic trends to understand breeding practices in livestock: a maternal pig line example. Genet Sel Evol. 2021;53(1):89. doi:10.1186/s12711-021-00683-6.
Christensen OF, Börner V, Varona L, Legarra A. Genetic evaluation including intermediate omics features. Genetics. 2021;219(2). doi:10.1093/genetics/iyab130.
González-Diéguez D, Legarra A, Charcosset A, et al. Genomic prediction of hybrid crops allows disentangling dominance and epistasis. Genetics. 2021. doi:10.1093/genetics/iyab026.
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.
Varona L, Legarra A. GIBBSTHUR: Software for Estimating Variance Components and Predicting Breeding Values for Ranking Traits Based on a Thurstonian Model. Animals (Basel). 2020;10(6). doi:10.3390/ani10061001.
González-Diéguez D, Tusell L, Bouquet A, Legarra A, Vitezica ZG. Purebred and Crossbred Genomic Evaluation and Mate Allocation Strategies To Exploit Dominance in Pig Crossbreeding Schemes. G3 (Bethesda). 2020;10(8):2829-2841. doi:10.1534/g3.120.401376.
Lourenco D, Legarra A, Tsuruta S, Masuda Y, Aguilar I, Misztal I. Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90. Genes (Basel). 2020;11(7). doi:10.3390/genes11070790.
Druet T, Legarra A. Theoretical and empirical comparisons of expected and realized relationships for the X-chromosome. Genet Sel Evol. 2020;52(1):50. doi:10.1186/s12711-020-00570-6.
Bermann M, Legarra A, Hollifield MKate, Masuda Y, Lourenco D, Misztal I. Validation of single-step GBLUP genomic predictions from threshold models using the linear regression method: An application in chicken mortality. J Anim Breed Genet. 2020. doi:10.1111/jbg.12507.
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.
Rodriguez-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.

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