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Research Article

Predicting Unobserved Phenotypes for Complex Traits from Whole-Genome SNP Data

  • Sang Hong Lee,

    Affiliations: School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia, National Institute of Animal Science, Rural Development Administration, Cheon An, Korea

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  • Julius H. J. van der Werf,

    Affiliation: School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia

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  • Ben J. Hayes,

    Affiliation: Department of Primary Industry, Victoria, Australia

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  • Michael E. Goddard,

    Affiliations: Department of Primary Industry, Victoria, Australia, Faculty of Land and Food Resources, University of Melbourne, Melbourne, Australia

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  • Peter M. Visscher mail

    peter.visscher@qimr.edu.au

    Affiliation: Queensland Institute of Medical Research, Brisbane, Australia

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  • Published: October 24, 2008
  • DOI: 10.1371/journal.pgen.1000231

About the Authors

Sang Hong Lee, Julius H. J. van der Werf
School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia
Sang Hong Lee
National Institute of Animal Science, Rural Development Administration, Cheon An, Korea
Ben J. Hayes, Michael E. Goddard
Department of Primary Industry, Victoria, Australia
Michael E. Goddard
Faculty of Land and Food Resources, University of Melbourne, Melbourne, Australia
Peter M. Visscher
Queensland Institute of Medical Research, Brisbane, Australia

Corresponding Author

Email: peter.visscher@qimr.edu.au

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: SHL JHJvdW MEG PMV. Analyzed the data: SHL. Contributed reagents/materials/analysis tools: JHJvdW BJH. Wrote the paper: SHL JHJvdW MEG PMV.