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Items: 1 to 20 of 216


Predicting genetic values: a kernel-based best linear unbiased prediction with genomic data.

Ober U, Erbe M, Long N, Porcu E, Schlather M, Simianer H.

Genetics. 2011 Jul;188(3):695-708. doi: 10.1534/genetics.111.128694. Epub 2011 Apr 21.


Different models of genetic variation and their effect on genomic evaluation.

Clark SA, Hickey JM, van der Werf JH.

Genet Sel Evol. 2011 May 17;43:18. doi: 10.1186/1297-9686-43-18.


Genomic best linear unbiased prediction (gBLUP) for the estimation of genomic breeding values.

Clark SA, van der Werf J.

Methods Mol Biol. 2013;1019:321-30. doi: 10.1007/978-1-62703-447-0_13.


Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers.

Su G, Christensen OF, Ostersen T, Henryon M, Lund MS.

PLoS One. 2012;7(9):e45293. doi: 10.1371/journal.pone.0045293. Epub 2012 Sep 13.


Mixed model methods for genomic prediction and variance component estimation of additive and dominance effects using SNP markers.

Da Y, Wang C, Wang S, Hu G.

PLoS One. 2014 Jan 30;9(1):e87666. doi: 10.1371/journal.pone.0087666. eCollection 2014.


Best linear unbiased prediction of genomic breeding values using a trait-specific marker-derived relationship matrix.

Zhang Z, Liu J, Ding X, Bijma P, de Koning DJ, Zhang Q.

PLoS One. 2010 Sep 9;5(9). pii: e12648. doi: 10.1371/journal.pone.0012648.


A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers.

Moser G, Tier B, Crump RE, Khatkar MS, Raadsma HW.

Genet Sel Evol. 2009 Dec 31;41:56. doi: 10.1186/1297-9686-41-56.


Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances.

Su G, Christensen OF, Janss L, Lund MS.

J Dairy Sci. 2014 Oct;97(10):6547-59. doi: 10.3168/jds.2014-8210. Epub 2014 Aug 14.


Using whole-genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster.

Ober U, Ayroles JF, Stone EA, Richards S, Zhu D, Gibbs RA, Stricker C, Gianola D, Schlather M, Mackay TF, Simianer H.

PLoS Genet. 2012;8(5):e1002685. doi: 10.1371/journal.pgen.1002685. Epub 2012 May 3.


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.


Long-term response to genomic selection: effects of estimation method and reference population structure for different genetic architectures.

Bastiaansen JW, Coster A, Calus MP, van Arendonk JA, Bovenhuis H.

Genet Sel Evol. 2012 Jan 24;44:3. doi: 10.1186/1297-9686-44-3.


Accuracy of whole-genome prediction using a genetic architecture-enhanced variance-covariance matrix.

Zhang Z, Erbe M, He J, Ober U, Gao N, Zhang H, Simianer H, Li J.

G3 (Bethesda). 2015 Feb 9;5(4):615-27. doi: 10.1534/g3.114.016261.


Accuracy of genomic breeding values in multi-breed dairy cattle populations.

Hayes BJ, Bowman PJ, Chamberlain AC, Verbyla K, Goddard ME.

Genet Sel Evol. 2009 Nov 24;41:51. doi: 10.1186/1297-9686-41-51.


Comparison between genomic predictions using daughter yield deviation and conventional estimated breeding value as response variables.

Guo G, Lund MS, Zhang Y, Su G.

J Anim Breed Genet. 2010 Dec;127(6):423-32. doi: 10.1111/j.1439-0388.2010.00878.x.


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.


Genomic prediction based on data from three layer lines: a comparison between linear methods.

Calus MP, Huang H, Vereijken A, Visscher J, Ten Napel J, Windig JJ.

Genet Sel Evol. 2014 Oct 1;46:57. doi: 10.1186/s12711-014-0057-5.


A non-parametric mixture model for genome-enabled prediction of genetic value for a quantitative trait.

Gianola D, Wu XL, Manfredi E, Simianer H.

Genetica. 2010 Oct;138(9-10):959-77. doi: 10.1007/s10709-010-9478-4. Epub 2010 Aug 25.


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.


Epistasis and the temporal change in the additive variance-covariance matrix induced by drift.

López-Fanjul C, Fernández A, Toro MA.

Evolution. 2004 Aug;58(8):1655-63.

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