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Items: 6

1.

Correction: Accounting for Genetic Architecture Improves Sequence Based Genomic Prediction for a Drosophila Fitness Trait.

Ober U, Huang W, Magwire M, Schlather M, Simianer H, Mackay TF.

PLoS One. 2015 Jul 13;10(7):e0132980. doi: 10.1371/journal.pone.0132980. eCollection 2015.

2.

Accounting for genetic architecture improves sequence based genomic prediction for a Drosophila fitness trait.

Ober U, Huang W, Magwire M, Schlather M, Simianer H, Mackay TF.

PLoS One. 2015 May 7;10(5):e0126880. doi: 10.1371/journal.pone.0126880. eCollection 2015. Erratum in: PLoS One. 2015;10(7):e0132980.

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.

4.

Improving the accuracy of whole genome prediction for complex traits using the results of genome wide association studies.

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

PLoS One. 2014 Mar 24;9(3):e93017. doi: 10.1371/journal.pone.0093017. eCollection 2014.

5.

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.

6.

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.

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