Using the genomic relationship matrix to predict the accuracy of genomic selection

The unified approach to the use of genomic and pedigree information in genomic evaluations revisited

(2011) T.H.E. Meuwissen et al.   JOURNAL OF ANIMAL BREEDING AND GENETICS

Genomic predictions for New Zealand dairy bulls and integration with national genetic evaluation

(2010) B.L. Harris et al.   JOURNAL OF DAIRY SCIENCE

Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score1

(2010) I. Aguilar et al.   JOURNAL OF DAIRY SCIENCE

A validated genome-wide association study in 2 dairy cattle breeds for milk production and fertility traits using variable length haplotypes

(2010) J.E. Pryce et al.   JOURNAL OF DAIRY SCIENCE

Common SNPs explain a large proportion of the heritability for human height

(2010) Jian Yang et al.   NATURE GENETICS

Reconciling the analysis of IBD and IBS in complex trait studies

(2010) Joseph E. Powell et al.   NATURE REVIEWS GENETICS

Increased accuracy of artificial selection by using the realized relationship matrix

(2009) B. J. HAYES et al.   Genetics Research

Technical note: Derivation of equivalent computing algorithms for genomic predictions and reliabilities of animal merit

(2009) I. Strandén et al.   JOURNAL OF DAIRY SCIENCE

No bull: genes for better milk

(2009) Rex Dalton   NATURE

Development and Characterization of a High Density SNP Genotyping Assay for Cattle

(2009) Lakshmi K. Matukumalli et al.   PLoS One

Genomic selection: prediction of accuracy and maximisation of long term response

(2008) Mike Goddard   GENETICA

Linkage Disequilibrium and Persistence of Phase in Holstein-Friesian, Jersey and Angus Cattle

(2008) A. P. W. de Roos et al.   GENETICS

Efficient Methods to Compute Genomic Predictions

(2008) P.M. VanRaden   JOURNAL OF DAIRY SCIENCE

Invited Review: Reliability of genomic predictions for North American Holstein bulls

(2008) P.M. VanRaden et al.   JOURNAL OF DAIRY SCIENCE

Accuracy of Predicting the Genetic Risk of Disease Using a Genome-Wide Approach

(2008) Hans D. Daetwyler et al.   PLoS One