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Items: 1 to 50 of 124

1.

Genome-wide mapping of quantitative trait loci in admixed populations using mixed linear model and Bayesian multiple regression analysis.

Toosi A, Fernando RL, Dekkers JCM.

Genet Sel Evol. 2018 Jun 19;50(1):32. doi: 10.1186/s12711-018-0402-1.

2.

The Accuracy and Bias of Single-Step Genomic Prediction for Populations Under Selection.

Hsu WL, Garrick DJ, Fernando RL.

G3 (Bethesda). 2017 Aug 7;7(8):2685-2694. doi: 10.1534/g3.117.043596.

3.

A comparison of identity-by-descent and identity-by-state matrices that are used for genetic evaluation and estimation of variance components.

Fernando RL, Cheng H, Sun X, Garrick DJ.

J Anim Breed Genet. 2017 Jun;134(3):213-223. doi: 10.1111/jbg.12275.

PMID:
28508481
4.

Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction.

Cheng H, Garrick DJ, Fernando RL.

J Anim Sci Biotechnol. 2017 May 2;8:38. doi: 10.1186/s40104-017-0164-6. eCollection 2017.

5.
6.

Epistatic interactions associated with fatty acid concentrations of beef from angus sired beef cattle.

Kramer LM, Ghaffar MA, Koltes JE, Fritz-Waters ER, Mayes MS, Sewell AD, Weeks NT, Garrick DJ, Fernando RL, Ma L, Reecy JM.

BMC Genomics. 2016 Nov 8;17(1):891.

7.
8.

Genetic relationship between purebred and crossbred sow longevity.

Abell CE, Fernando RL, Serenius TV, Rothschild MF, Gray KA, Stalder KJ.

J Anim Sci Biotechnol. 2016 Sep 6;7(1):51. doi: 10.1186/s40104-016-0112-x. eCollection 2016.

9.

An Upper Bound for Accuracy of Prediction Using GBLUP.

Karaman E, Cheng H, Firat MZ, Garrick DJ, Fernando RL.

PLoS One. 2016 Aug 16;11(8):e0161054. doi: 10.1371/journal.pone.0161054. eCollection 2016.

10.

Impact of fitting dominance and additive effects on accuracy of genomic prediction of breeding values in layers.

Heidaritabar M, Wolc A, Arango J, Zeng J, Settar P, Fulton JE, O'Sullivan NP, Bastiaansen JW, Fernando RL, Garrick DJ, Dekkers JC.

J Anim Breed Genet. 2016 Oct;133(5):334-46. doi: 10.1111/jbg.12225. Epub 2016 Jun 30.

PMID:
27357473
11.

Effects of number of training generations on genomic prediction for various traits in a layer chicken population.

Weng Z, Wolc A, Shen X, Fernando RL, Dekkers JC, Arango J, Settar P, Fulton JE, O'Sullivan NP, Garrick DJ.

Genet Sel Evol. 2016 Mar 19;48:22. doi: 10.1186/s12711-016-0198-9.

12.
13.

A fast and efficient Gibbs sampler for BayesB in whole-genome analyses.

Cheng H, Qu L, Garrick DJ, Fernando RL.

Genet Sel Evol. 2015 Oct 14;47:80. doi: 10.1186/s12711-015-0157-x.

14.

Response and inbreeding from a genomic selection experiment in layer chickens.

Wolc A, Zhao HH, Arango J, Settar P, Fulton JE, O'Sullivan NP, Preisinger R, Stricker C, Habier D, Fernando RL, Garrick DJ, Lamont SJ, Dekkers JC.

Genet Sel Evol. 2015 Jul 7;47:59. doi: 10.1186/s12711-015-0133-5.

15.

A class of Bayesian methods to combine large numbers of genotyped and non-genotyped animals for whole-genome analyses.

Fernando RL, Dekkers JC, Garrick DJ.

Genet Sel Evol. 2014 Sep 22;46:50. doi: 10.1186/1297-9686-46-50.

16.

Reduction in accuracy of genomic prediction for ordered categorical data compared to continuous observations.

Kizilkaya K, Fernando RL, Garrick DJ.

Genet Sel Evol. 2014 Jun 9;46:37. doi: 10.1186/1297-9686-46-37.

17.

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.

18.

Use of robust multivariate linear mixed models for estimation of genetic parameters for carcass traits in beef cattle.

Peters SO, Kizilkaya K, Garrick DJ, Fernando RL, Pollak EJ, Enns RM, De Donato M, Ajayi OO, Imumorin IG.

J Anim Breed Genet. 2014 Dec;131(6):504-12. doi: 10.1111/jbg.12093. Epub 2014 May 17.

PMID:
24834962
19.

Genome-wide association study for egg production and quality in layer chickens.

Wolc A, Arango J, Jankowski T, Dunn I, Settar P, Fulton JE, O'Sullivan NP, Preisinger R, Fernando RL, Garrick DJ, Dekkers JC.

J Anim Breed Genet. 2014 Jun;131(3):173-82. doi: 10.1111/jbg.12086. Epub 2014 Mar 17.

PMID:
24628796
20.

Accuracy of genomic prediction using an evenly spaced, low-density single nucleotide polymorphism panel in broiler chickens.

Wang C, Habier D, Peiris BL, Wolc A, Kranis A, Watson KA, Avendano S, Garrick DJ, Fernando RL, Lamont SJ, Dekkers JC.

Poult Sci. 2013 Jul;92(7):1712-23. doi: 10.3382/ps.2012-02941.

PMID:
23776257
21.

Implementing a QTL detection study (GWAS) using genomic prediction methodology.

Garrick DJ, Fernando RL.

Methods Mol Biol. 2013;1019:275-98. doi: 10.1007/978-1-62703-447-0_11.

PMID:
23756895
22.

Bayesian methods applied to GWAS.

Fernando RL, Garrick D.

Methods Mol Biol. 2013;1019:237-74. doi: 10.1007/978-1-62703-447-0_10.

PMID:
23756894
23.

Genomic BLUP decoded: a look into the black box of genomic prediction.

Habier D, Fernando RL, Garrick DJ.

Genetics. 2013 Jul;194(3):597-607. doi: 10.1534/genetics.113.152207. Epub 2013 May 2.

24.

Genomic selection of purebred animals for crossbred performance in the presence of dominant gene action.

Zeng J, Toosi A, Fernando RL, Dekkers JC, Garrick DJ.

Genet Sel Evol. 2013 Apr 26;45:11. doi: 10.1186/1297-9686-45-11.

25.

Genome-wide association study of infectious bovine keratoconjunctivitis in Angus cattle.

Kizilkaya K, Tait RG, Garrick DJ, Fernando RL, Reecy JM.

BMC Genet. 2013 Mar 26;14:23. doi: 10.1186/1471-2156-14-23.

26.

The effect of using genealogy-based haplotypes for genomic prediction.

Edriss V, Fernando RL, Su G, Lund MS, Guldbrandtsen B.

Genet Sel Evol. 2013 Mar 6;45:5. doi: 10.1186/1297-9686-45-5.

27.

Application of multivariate heavy-tailed distributions to residuals in the estimation of genetic parameters of growth traits in beef cattle.

Peters SO, Kizilkaya K, Garrick DJ, Fernando RL, Pollak EJ, De Donato M, Hussain T, Imumorin IG.

J Anim Sci. 2013 Apr;91(4):1552-61. doi: 10.2527/jas.2012-5505. Epub 2013 Feb 13.

PMID:
23408820
28.

A fast EM algorithm for BayesA-like prediction of genomic breeding values.

Sun X, Qu L, Garrick DJ, Dekkers JC, Fernando RL.

PLoS One. 2012;7(11):e49157. doi: 10.1371/journal.pone.0049157. Epub 2012 Nov 9.

29.

Heritability and Bayesian genome-wide association study of first service conception and pregnancy in Brangus heifers.

Peters SO, Kizilkaya K, Garrick DJ, Fernando RL, Reecy JM, Weaber RL, Silver GA, Thomas MG.

J Anim Sci. 2013 Feb;91(2):605-12. doi: 10.2527/jas.2012-5580. Epub 2012 Nov 12.

PMID:
23148252
30.

Bayesian genome-wide association analysis of growth and yearling ultrasound measures of carcass traits in Brangus heifers.

Peters SO, Kizilkaya K, Garrick DJ, Fernando RL, Reecy JM, Weaber RL, Silver GA, Thomas MG.

J Anim Sci. 2012 Oct;90(10):3398-409. doi: 10.2527/jas.2012-4507. Erratum in: J Anim Sci. 2013 Mar;91(3):1522.

PMID:
23038745
31.

Genomic breeding value prediction and QTL mapping of QTLMAS2011 data using Bayesian and GBLUP methods.

Zeng J, Pszczola M, Wolc A, Strabel T, Fernando RL, Garrick DJ, Dekkers JC.

BMC Proc. 2012 May 21;6 Suppl 2:S7. doi: 10.1186/1753-6561-6-S2-S7. Epub 2012 May 21.

32.

Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.).

Resende MF Jr, Muñoz P, Resende MD, Garrick DJ, Fernando RL, Davis JM, Jokela EJ, Martin TA, Peter GF, Kirst M.

Genetics. 2012 Apr;190(4):1503-10. doi: 10.1534/genetics.111.137026. Epub 2012 Jan 23.

33.

Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation.

Saatchi M, McClure MC, McKay SD, Rolf MM, Kim J, Decker JE, Taxis TM, Chapple RH, Ramey HR, Northcutt SL, Bauck S, Woodward B, Dekkers JC, Fernando RL, Schnabel RD, Garrick DJ, Taylor JF.

Genet Sel Evol. 2011 Nov 28;43:40. doi: 10.1186/1297-9686-43-40.

34.

Whole genome analysis of infectious bovine keratoconjunctivitis in Angus cattle using Bayesian threshold models.

Kizilkaya K, Tait RG, Garrick DJ, Fernando RL, Reecy JM.

BMC Proc. 2011 Jun 3;5 Suppl 4:S22. doi: 10.1186/1753-6561-5-S4-S22.

35.

Genomic breeding value prediction and QTL mapping of QTLMAS2010 data using Bayesian Methods.

Sun X, Habier D, Fernando RL, Garrick DJ, Dekkers JC.

BMC Proc. 2011 May 27;5 Suppl 3:S13. doi: 10.1186/1753-6561-5-S3-S13.

36.

Extension of the bayesian alphabet for genomic selection.

Habier D, Fernando RL, Kizilkaya K, Garrick DJ.

BMC Bioinformatics. 2011 May 23;12:186. doi: 10.1186/1471-2105-12-186.

37.

Use of linear mixed models for genetic evaluation of gestation length and birth weight allowing for heavy-tailed residual effects.

Kizilkaya K, Garrick DJ, Fernando RL, Mestav B, Yildiz MA.

Genet Sel Evol. 2010 Jun 30;42:26. doi: 10.1186/1297-9686-42-26.

38.

A gene frequency model for QTL mapping using Bayesian inference.

He W, Fernando RL, Dekkers JC, Gilbert H.

Genet Sel Evol. 2010 Jun 11;42:21. doi: 10.1186/1297-9686-42-21.

39.

A two-stage approximation for analysis of mixture genetic models in large pedigrees.

Habier D, Totir LR, Fernando RL.

Genetics. 2010 Jun;185(2):655-70. doi: 10.1534/genetics.110.115774. Epub 2010 Apr 9.

40.

Deregressing estimated breeding values and weighting information for genomic regression analyses.

Garrick DJ, Taylor JF, Fernando RL.

Genet Sel Evol. 2009 Dec 31;41:55. doi: 10.1186/1297-9686-41-55.

41.

An efficient algorithm to compute marginal posterior genotype probabilities for every member of a pedigree with loops.

Totir LR, Fernando RL, Abraham J.

Genet Sel Evol. 2009 Dec 3;41:52. doi: 10.1186/1297-9686-41-52.

42.

A nonsense mutation in cGMP-dependent type II protein kinase (PRKG2) causes dwarfism in American Angus cattle.

Koltes JE, Mishra BP, Kumar D, Kataria RS, Totir LR, Fernando RL, Cobbold R, Steffen D, Coppieters W, Georges M, Reecy JM.

Proc Natl Acad Sci U S A. 2009 Nov 17;106(46):19250-5. doi: 10.1073/pnas.0904513106. Epub 2009 Nov 3.

43.

Genomic prediction of simulated multibreed and purebred performance using observed fifty thousand single nucleotide polymorphism genotypes.

Kizilkaya K, Fernando RL, Garrick DJ.

J Anim Sci. 2010 Feb;88(2):544-51. doi: 10.2527/jas.2009-2064. Epub 2009 Oct 9.

PMID:
19820059
44.

Linear models for joint association and linkage QTL mapping.

Legarra A, Fernando RL.

Genet Sel Evol. 2009 Sep 29;41:43. doi: 10.1186/1297-9686-41-43.

45.

Genomic selection in admixed and crossbred populations.

Toosi A, Fernando RL, Dekkers JC.

J Anim Sci. 2010 Jan;88(1):32-46. doi: 10.2527/jas.2009-1975. Epub 2009 Sep 11.

PMID:
19749023
46.

Haplotype inference in crossbred populations without pedigree information.

Coster A, Heuven HC, Fernando RL, Dekkers JC.

Genet Sel Evol. 2009 Aug 11;41:40. doi: 10.1186/1297-9686-41-40.

47.

Extent and consistency of linkage disequilibrium and identification of DNA markers for production and egg quality traits in commercial layer chicken populations.

Abasht B, Sandford E, Arango J, Settar P, Fulton JE, O'Sullivan NP, Hassen A, Habier D, Fernando RL, Dekkers JC, Lamont SJ.

BMC Genomics. 2009 Jul 14;10 Suppl 2:S2. doi: 10.1186/1471-2164-10-S2-S2.

48.

Factors affecting accuracy from genomic selection in populations derived from multiple inbred lines: a Barley case study.

Zhong S, Dekkers JC, Fernando RL, Jannink JL.

Genetics. 2009 May;182(1):355-64. doi: 10.1534/genetics.108.098277. Epub 2009 Mar 18.

49.

Genomic selection using low-density marker panels.

Habier D, Fernando RL, Dekkers JC.

Genetics. 2009 May;182(1):343-53. doi: 10.1534/genetics.108.100289. Epub 2009 Mar 18.

50.

Genomic selection of purebreds for crossbred performance.

Ibánez-Escriche N, Fernando RL, Toosi A, Dekkers JC.

Genet Sel Evol. 2009 Jan 15;41:12. doi: 10.1186/1297-9686-41-12.

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