Upweighting rare favourable alleles increases long-term genetic gain in genomic selection programs

[1] Coster A(2010)Sensitivity of methods for estimating breeding values using genetic markers to the number of QTL and distribution of QTL variance Genet Sel Evol 42 9-40

[2] Bastiaansen JWM(2013)Accuracy of genomic prediction using different models and response variables in the Nordic Red cattle population J Anim Breed Genet 130 333-10

[3] Calus MPL(2012)Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.) Genetics 190 1503-96

[4] van Arendonk JAM(2013)Priors in whole-genome regression: the bayesian alphabet returns Genetics 194 573-2

[5] Bovenhuis H(2012)Long-term genomic improvement - new challenges for population genetics J Anim Breed Genet 129 1-47

[6] Gao H(2014)Invited review: Animal-breeding schemes using genomic information need breeding plans designed to maximise long-term genetic gains Livest Sci 166 38-75

[7] Lund MS(1998)Optimizing selection for quantitative traits with information on an identified locus in outbred populations Genet Res 71 257-70

[8] Zhang Y(2002)A method to optimize selection on multiple identified quantitative trait loci Genet Sel Evol 34 145-51

[9] Su G(2011)Optimal selection for multiple quantitative trait loci and contributions of individuals using genetic algorithm Livest Sci 141 242-57

[10] Resende MFR(2009)Genomic selection: prediction of accuracy and maximisation of long term response Genetica 136 245-51

[1] Coster A(2010)Sensitivity of methods for estimating breeding values using genetic markers to the number of QTL and distribution of QTL variance Genet Sel Evol 42 9-40

[2] Bastiaansen JWM(2013)Accuracy of genomic prediction using different models and response variables in the Nordic Red cattle population J Anim Breed Genet 130 333-10

[3] Calus MPL(2012)Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.) Genetics 190 1503-96

[4] van Arendonk JAM(2013)Priors in whole-genome regression: the bayesian alphabet returns Genetics 194 573-2

[5] Bovenhuis H(2012)Long-term genomic improvement - new challenges for population genetics J Anim Breed Genet 129 1-47

[6] Gao H(2014)Invited review: Animal-breeding schemes using genomic information need breeding plans designed to maximise long-term genetic gains Livest Sci 166 38-75

[7] Lund MS(1998)Optimizing selection for quantitative traits with information on an identified locus in outbred populations Genet Res 71 257-70

[8] Zhang Y(2002)A method to optimize selection on multiple identified quantitative trait loci Genet Sel Evol 34 145-51

[9] Su G(2011)Optimal selection for multiple quantitative trait loci and contributions of individuals using genetic algorithm Livest Sci 141 242-57

[10] Resende MFR(2009)Genomic selection: prediction of accuracy and maximisation of long term response Genetica 136 245-51