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A resource-efficient tool for mixed model association analysis of large-scale data

Longda Jiang, Zhili Zheng, Ting Qi, Kathryn E. Kemper, View ORCID ProfileNaomi R. Wray, Peter M. Visscher, View ORCID ProfileJian Yang
doi: https://doi.org/10.1101/598110
Longda Jiang
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia
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Zhili Zheng
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia
2Institute for Advanced Research, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
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Ting Qi
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia
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Kathryn E. Kemper
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia
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Naomi R. Wray
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia
3Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia
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  • ORCID record for Naomi R. Wray
Peter M. Visscher
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia
3Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia
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Jian Yang
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia
2Institute for Advanced Research, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
3Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia
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  • ORCID record for Jian Yang
  • For correspondence: jian.yang@uq.edu.au
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Posted April 11, 2019.
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A resource-efficient tool for mixed model association analysis of large-scale data
Longda Jiang, Zhili Zheng, Ting Qi, Kathryn E. Kemper, Naomi R. Wray, Peter M. Visscher, Jian Yang
bioRxiv 598110; doi: https://doi.org/10.1101/598110
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A resource-efficient tool for mixed model association analysis of large-scale data
Longda Jiang, Zhili Zheng, Ting Qi, Kathryn E. Kemper, Naomi R. Wray, Peter M. Visscher, Jian Yang
bioRxiv 598110; doi: https://doi.org/10.1101/598110

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