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Items: 1 to 50 of 95

1.

GWAS by GBLUP: Single and Multimarker EMMAX and Bayes Factors, with an Example in Detection of a Major Gene for Horse Gait.

Legarra A, Ricard A, Varona L.

G3 (Bethesda). 2018 Jul 2;8(7):2301-2308. doi: 10.1534/g3.118.200336.

2.

Genomic Model with Correlation Between Additive and Dominance Effects.

Xiang T, Christensen OF, Vitezica ZG, Legarra A.

Genetics. 2018 Jul;209(3):711-723. doi: 10.1534/genetics.118.301015. Epub 2018 May 9.

PMID:
29743175
3.

Non-additive Effects in Genomic Selection.

Varona L, Legarra A, Toro MA, Vitezica ZG.

Front Genet. 2018 Mar 6;9:78. doi: 10.3389/fgene.2018.00078. eCollection 2018. Review.

4.

Genomic selection models for directional dominance: an example for litter size in pigs.

Varona L, Legarra A, Herring W, Vitezica ZG.

Genet Sel Evol. 2018 Jan 26;50(1):1. doi: 10.1186/s12711-018-0374-1.

5.

A fast indirect method to compute functions of genomic relationships concerning genotyped and ungenotyped individuals, for diversity management.

Colleau JJ, Palhière I, Rodríguez-Ramilo ST, Legarra A.

Genet Sel Evol. 2017 Dec 1;49(1):87. doi: 10.1186/s12711-017-0363-9.

6.

Influence of epistasis on response to genomic selection using complete sequence data.

Forneris NS, Vitezica ZG, Legarra A, Pérez-Enciso M.

Genet Sel Evol. 2017 Aug 25;49(1):66. doi: 10.1186/s12711-017-0340-3.

7.

Erratum to: Incorporation of causative quantitative trait nucleotides in single-step GBLUP.

Fragomeni BO, Lourenco DAL, Masuda Y, Legarra A, Misztal I.

Genet Sel Evol. 2017 Aug 24;49(1):65. doi: 10.1186/s12711-017-0341-2. No abstract available.

8.

Incorporation of causative quantitative trait nucleotides in single-step GBLUP.

Fragomeni BO, Lourenco DAL, Masuda Y, Legarra A, Misztal I.

Genet Sel Evol. 2017 Jul 26;49(1):59. doi: 10.1186/s12711-017-0335-0. Erratum in: Genet Sel Evol. 2017 Aug 24;49(1):65.

9.

Single-Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments.

Pérez-Rodríguez P, Crossa J, Rutkoski J, Poland J, Singh R, Legarra A, Autrique E, Campos GL, Burgueño J, Dreisigacker S.

Plant Genome. 2017 Jul;10(2). doi: 10.3835/plantgenome2016.09.0089.

10.

Role of inbreeding depression, non-inbred dominance deviations and random year-season effect in genetic trends for prolificacy in closed rabbit lines.

Fernández EN, Sánchez JP, Martínez R, Legarra A, Baselga M.

J Anim Breed Genet. 2017 Dec;134(6):441-452. doi: 10.1111/jbg.12284. Epub 2017 Jul 6.

PMID:
28685498
11.

Orthogonal Estimates of Variances for Additive, Dominance, and Epistatic Effects in Populations.

Vitezica ZG, Legarra A, Toro MA, Varona L.

Genetics. 2017 Jul;206(3):1297-1307. doi: 10.1534/genetics.116.199406. Epub 2017 May 18.

12.

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.

Fernández EN, Legarra A, Martínez R, Sánchez JP, Baselga M.

J Anim Breed Genet. 2017 Jun;134(3):184-195. doi: 10.1111/jbg.12267.

PMID:
28508486
13.

Technical note: Genomic evaluation for crossbred performance in a single-step approach with metafounders.

Xiang T, Christensen OF, Legarra A.

J Anim Sci. 2017 Apr;95(4):1472-1480. doi: 10.2527/jas.2016.1155.

PMID:
28464109
14.

Metafounders are related to F st fixation indices and reduce bias in single-step genomic evaluations.

Garcia-Baccino CA, Legarra A, Christensen OF, Misztal I, Pocrnic I, Vitezica ZG, Cantet RJ.

Genet Sel Evol. 2017 Mar 10;49(1):34. doi: 10.1186/s12711-017-0309-2.

15.

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.

Masuda Y, Misztal I, Legarra A, Tsuruta S, Lourenco DA, Fragomeni BO, Aguilar I.

J Anim Sci. 2017 Jan;95(1):49-52. doi: 10.2527/jas.2016.0699.

PMID:
28177357
16.

Genetic Variation in the Social Environment Contributes to Health and Disease.

Baud A, Mulligan MK, Casale FP, Ingels JF, Bohl CJ, Callebert J, Launay JM, Krohn J, Legarra A, Williams RW, Stegle O.

PLoS Genet. 2017 Jan 25;13(1):e1006498. doi: 10.1371/journal.pgen.1006498. eCollection 2017 Jan.

17.

Evaluating Sequence-Based Genomic Prediction with an Efficient New Simulator.

Pérez-Enciso M, Forneris N, de Los Campos G, Legarra A.

Genetics. 2017 Feb;205(2):939-953. doi: 10.1534/genetics.116.194878. Epub 2016 Dec 2.

18.
19.

Invited review: efficient computation strategies in genomic selection.

Misztal I, Legarra A.

Animal. 2017 May;11(5):731-736. doi: 10.1017/S1751731116002366. Epub 2016 Nov 21. Review.

PMID:
27869042
20.

Estimates of the actual relationship between half-sibs in a pig population.

García-Baccino CA, Munilla S, Legarra A, Vitezica ZG, Forneris NS, Bates RO, Ernst CW, Raney NE, Steibel JP, Cantet RJ.

J Anim Breed Genet. 2017 Apr;134(2):109-118. doi: 10.1111/jbg.12236. Epub 2016 Sep 26.

PMID:
27670252
21.

Weighting Strategies for Single-Step Genomic BLUP: An Iterative Approach for Accurate Calculation of GEBV and GWAS.

Zhang X, Lourenco D, Aguilar I, Legarra A, Misztal I.

Front Genet. 2016 Aug 19;7:151. doi: 10.3389/fgene.2016.00151. eCollection 2016.

22.

A comparison of methods to estimate genomic relationships using pedigree and markers in livestock populations.

Forneris NS, Steibel JP, Legarra A, Vitezica ZG, Bates RO, Ernst CW, Basso AL, Cantet RJ.

J Anim Breed Genet. 2016 Dec;133(6):452-462. doi: 10.1111/jbg.12217. Epub 2016 May 2.

PMID:
27135179
23.

Application of single-step genomic evaluation for crossbred performance in pig.

Xiang T, Nielsen B, Su G, Legarra A, Christensen OF.

J Anim Sci. 2016 Mar;94(3):936-48. doi: 10.2527/jas.2015-9930.

PMID:
27065256
24.

Pedigree and genomic evaluation of pigs using a terminal-cross model.

Tusell L, Gilbert H, Riquet J, Mercat MJ, Legarra A, Larzul C.

Genet Sel Evol. 2016 Apr 7;48:32. doi: 10.1186/s12711-016-0211-3.

25.

A combined coalescence gene-dropping tool for evaluating genomic selection in complex scenarios (ms2gs).

Pérez-Enciso M, Legarra A.

J Anim Breed Genet. 2016 Apr;133(2):85-91. doi: 10.1111/jbg.12200. Epub 2016 Jan 6.

PMID:
26995218
26.

The Dimensionality of Genomic Information and Its Effect on Genomic Prediction.

Pocrnic I, Lourenco DA, Masuda Y, Legarra A, Misztal I.

Genetics. 2016 May;203(1):573-81. doi: 10.1534/genetics.116.187013. Epub 2016 Mar 4.

27.

Genomic BLUP including additive and dominant variation in purebreds and F1 crossbreds, with an application in pigs.

Vitezica ZG, Varona L, Elsen JM, Misztal I, Herring W, Legarra A.

Genet Sel Evol. 2016 Jan 29;48:6. doi: 10.1186/s12711-016-0185-1.

28.

Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals.

Masuda Y, Misztal I, Tsuruta S, Legarra A, Aguilar I, Lourenco DAL, Fragomeni BO, Lawlor TJ.

J Dairy Sci. 2016 Mar;99(3):1968-1974. doi: 10.3168/jds.2015-10540. Epub 2016 Jan 21.

29.

Genetic evaluation for three-way crossbreeding.

Christensen OF, Legarra A, Lund MS, Su G.

Genet Sel Evol. 2015 Dec 22;47:98. doi: 10.1186/s12711-015-0177-6.

30.
31.
32.

Comparing estimates of genetic variance across different relationship models.

Legarra A.

Theor Popul Biol. 2016 Feb;107:26-30. doi: 10.1016/j.tpb.2015.08.005. Epub 2015 Sep 2.

PMID:
26341159
33.

Accuracy of estimated breeding values with genomic information on males, females, or both: an example on broiler chicken.

Lourenco DA, Fragomeni BO, Tsuruta S, Aguilar I, Zumbach B, Hawken RJ, Legarra A, Misztal I.

Genet Sel Evol. 2015 Jul 2;47:56. doi: 10.1186/s12711-015-0137-1.

34.

Imputation of genotypes in Danish purebred and two-way crossbred pigs using low-density panels.

Xiang T, Ma P, Ostersen T, Legarra A, Christensen OF.

Genet Sel Evol. 2015 Jun 30;47:54. doi: 10.1186/s12711-015-0134-4.

35.

Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus.

Lourenco DA, Tsuruta S, Fragomeni BO, Masuda Y, Aguilar I, Legarra A, Bertrand JK, Amen TS, Wang L, Moser DW, Misztal I.

J Anim Sci. 2015 Jun;93(6):2653-62. doi: 10.2527/jas.2014-8836.

PMID:
26115253
36.

Sequence- vs. chip-assisted genomic selection: accurate biological information is advised.

Pérez-Enciso M, Rincón JC, Legarra A.

Genet Sel Evol. 2015 May 9;47:43. doi: 10.1186/s12711-015-0117-5.

37.

A comparison of methods for whole-genome QTL mapping using dense markers in four livestock species.

Legarra A, Croiseau P, Sanchez MP, Teyssèdre S, Sallé G, Allais S, Fritz S, Moreno CR, Ricard A, Elsen JM.

Genet Sel Evol. 2015 Feb 12;47:6. doi: 10.1186/s12711-015-0087-7.

38.

Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships.

Legarra A, Christensen OF, Vitezica ZG, Aguilar I, Misztal I.

Genetics. 2015 Jun;200(2):455-68. doi: 10.1534/genetics.115.177014. Epub 2015 Apr 14.

39.

Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes.

Fragomeni BO, Lourenco DA, Tsuruta S, Masuda Y, Aguilar I, Legarra A, Lawlor TJ, Misztal I.

J Dairy Sci. 2015 Jun;98(6):4090-4. doi: 10.3168/jds.2014-9125. Epub 2015 Apr 8.

40.

Quality control of genotypes using heritability estimates of gene content at the marker.

Forneris NS, Legarra A, Vitezica ZG, Tsuruta S, Aguilar I, Misztal I, Cantet RJ.

Genetics. 2015 Mar;199(3):675-81. doi: 10.1534/genetics.114.173559. Epub 2015 Jan 6.

41.

Single-marker and multi-marker mixed models for polygenic score analysis in family-based data.

Bohossian N, Saad M, Legarra A, Martinez M.

BMC Proc. 2014 Jun 17;8(Suppl 1):S63. doi: 10.1186/1753-6561-8-S1-S63. eCollection 2014.

42.

Differences between genomic-based and pedigree-based relationships in a chicken population, as a function of quality control and pedigree links among individuals.

Wang H, Misztal I, Legarra A.

J Anim Breed Genet. 2014 Dec;131(6):445-51. doi: 10.1111/jbg.12109. Epub 2014 Jul 15.

PMID:
25039816
43.

Genomic analysis of dominance effects on milk production and conformation traits in Fleckvieh cattle.

Ertl J, Legarra A, Vitezica ZG, Varona L, Edel C, Emmerling R, Götz KU.

Genet Sel Evol. 2014 Jun 24;46:40. doi: 10.1186/1297-9686-46-40.

44.

Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens.

Wang H, Misztal I, Aguilar I, Legarra A, Fernando RL, Vitezica Z, Okimoto R, Wing T, Hawken R, Muir WM.

Front Genet. 2014 May 20;5:134. doi: 10.3389/fgene.2014.00134. eCollection 2014.

45.

Using recursion to compute the inverse of the genomic relationship matrix.

Misztal I, Legarra A, Aguilar I.

J Dairy Sci. 2014;97(6):3943-52. doi: 10.3168/jds.2013-7752. Epub 2014 Mar 27.

46.

Within- and across-breed genomic predictions and genomic relationships for Western Pyrenees dairy sheep breeds Latxa, Manech, and Basco-Béarnaise.

Legarra A, Baloche G, Barillet F, Astruc JM, Soulas C, Aguerre X, Arrese F, Mintegi L, Lasarte M, Maeztu F, Beltrán de Heredia I, Ugarte E.

J Dairy Sci. 2014 May;97(5):3200-12. doi: 10.3168/jds.2013-7745. Epub 2014 Mar 13.

PMID:
24630656
47.

Genetic parameters for growth and faecal worm egg count following Haemonchus contortus experimental infestations using pedigree and molecular information.

Assenza F, Elsen JM, Legarra A, Carré C, Sallé G, Robert-Granié C, Moreno CR.

Genet Sel Evol. 2014 Feb 14;46:13. doi: 10.1186/1297-9686-46-13.

48.

The coefficient of dominance is not (always) estimable with biallelic markers.

García-Cortés LA, Legarra A, Toro MA.

J Anim Breed Genet. 2014 Apr;131(2):97-104. doi: 10.1111/jbg.12076. Epub 2014 Jan 8.

PMID:
24397385
49.

Assessment of accuracy of genomic prediction for French Lacaune dairy sheep.

Baloche G, Legarra A, Sallé G, Larroque H, Astruc JM, Robert-Granié C, Barillet F.

J Dairy Sci. 2014 Feb;97(2):1107-16. doi: 10.3168/jds.2013-7135. Epub 2013 Dec 6.

PMID:
24315320
50.

On the additive and dominant variance and covariance of individuals within the genomic selection scope.

Vitezica ZG, Varona L, Legarra A.

Genetics. 2013 Dec;195(4):1223-30. doi: 10.1534/genetics.113.155176. Epub 2013 Oct 11.

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