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Genotype-covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model
Guiyan Ni, Julius van der Werf, Xuan Zhou, Elina Hyppönen, Naomi R. Wray, Hong Lee
doi: https://doi.org/10.1101/377796
Guiyan Ni
1Australian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, 5000, Australia
2School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia
Julius van der Werf
2School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia
Xuan Zhou
1Australian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, 5000, Australia
Elina Hyppönen
1Australian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, 5000, Australia
3Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, UK
4South Australian Health and Medical Research Institute, Adelaide, Australia
Naomi R. Wray
5Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, 4072, Australia.
6Queensland Brain Institute, University of Queensland, Brisbane, Queensland, 4072, Australia.
Hong Lee
1Australian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, 5000, Australia
2School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia
6Queensland Brain Institute, University of Queensland, Brisbane, Queensland, 4072, Australia.
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Posted July 26, 2018.
Genotype-covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model
Guiyan Ni, Julius van der Werf, Xuan Zhou, Elina Hyppönen, Naomi R. Wray, Hong Lee
bioRxiv 377796; doi: https://doi.org/10.1101/377796
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