Genomic prediction when some animals are not genotyped

Genetics Selection Evolution

Volumn 42, Issue 3, 2010, Pages

  Christensen, Ole F ^a   Lund, Mogens S ^a  

^a DANISH INSTITUTE OF AGRICULTURAL SCIENCES   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE RADIATION; CATTLE; DATA SET; GENERATION TIME; GENETIC MARKER; GENOMICS; GENOTYPE; MATRIX; MODEL TEST; PARAMETERIZATION; PIG; REPRODUCTIVE BEHAVIOR; BREEDING; NUMERICAL MODEL; PREDICTION;

ANIMALIA; BOS; SUIDAE;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; BREEDING; COMPUTER SIMULATION; GENETIC SELECTION; GENOTYPE; SWINE;

ANIMALS; BREEDING; COMPUTER SIMULATION; GENOTYPE; MODELS, GENETIC; SELECTION, GENETIC; SWINE;

EID: 84858145181     PISSN: 0999193X     EISSN: 12979686     Source Type: Journal    
DOI: 10.1186/1297-9686-42-2     Document Type: Article

References (16)

1. Prediction of total genetic value using genome-wide dense marker maps. THE Meuwissen BJ Hayes ME Goddard, Genetics 2001 157 1819 1829 11290733
2. Efficient methods to compute genomic predictions. PM VanRaden, Interbull Bull 2007 37 111 114
3. Efficient methods to compute genomic predictions. PM VanRaden, J Dairy Sci 2008 91 4414 4423 10.3168/jds.2007-0980 18946147
4. Reproducing kernel Hilbert spaces regression methods for genomic prediction of quantitative traits. D Gianola BCHM van Kamm, Genetics 2008 178 2289 2303 10.1534/genetics.107.084285 18430950
5. A relationship matrix including full pedigree and genomic information. A Legarra I Aguilar I Misztal, J Dairy Sci 2009 92 4656 4663 19700729 10.3168/jds.2009-2061
6. Accuracy of breeding values when using and ignoring the polygenic effect in genomic breeding value estimation with a marker density of one SNP per cM. MPL Calus RF Veerkamp, J Anim Breed Genet 2007 124 362 368 18076473
7. Genomic-assisted prediction of genetic value with semiparametric procedures. D Gianola RL Fernando A Stella, Genetics 2006 173 1761 1776 10.1534/genetics.105.049510 16648593
8. Incorporation of genotype effects into animal model evaluations when only a small fraction of the population has been genotyped. E Baruch JI Weller, Animal 2009 3 16 23 10.1017/S1751731108003339
9. A simple method to approximate gene content in large pedigree populations: application to the myostation gene in dual-purpose Belgian Blue cattle. N Gengler P Mayeres M Szydlowski, Animal 2007 1 21 28 10.1017/S1751731107392628
10. Average information REML: an efficient algorithm for parameter estimation in linear mixed models. AR Gilmour R Thompson BR Cullis, Biometrics 1995 51 1440 1450 10.2307/2533274
11. Restricted maximum likelihood estimation of variance components for univariate animal models using sparse matrix techniques and average information. DL Johnson R Thompson, J Dairy Sci 1995 78 449 456
12. An efficient variance component approach implementing an average REML suitable for combined LD and linkage mapping with a general pedigree. SH Lee JHJ van der Werf, Genet Sel Evol 1995 38 25 43 10.1186/1297-9686-38-1-25
13. A users guide to DMU, version 6, release 4.7. P Madsen J Jensen, Manual, Faculty of agricultural science, University of Aarhus 2008
14. Invited review: reliability of genomic predictions for North American Holstein bulls. PM VanRaden CP Van Tassel GR Wiggans TS Sonstegard RD Schnabel JF Taylor FS Schenkel, J Dairy Sci 2009 92 16 24 10.3168/jds.2008-1514 19109259
15. Preliminary investigation on reliability of genomic estimated breeding values in the Danish Holstein population. G Su B Guldbrandtsen VR Gregersen MS Lund, J Dairy Sci 2010
16. Computing procedures for genetic evaluation including phenotypic, full pedigree and genomic information. I Misztal A Legarra I Aguilar, Proceedings of the annual meeting EAAP: 24-27 August 2009; Barcelona, Spain 2009