Nature Communications (Feb 2016)
Joint mouse–human phenome-wide association to test gene function and disease risk
- Xusheng Wang,
- Ashutosh K. Pandey,
- Megan K. Mulligan,
- Evan G. Williams,
- Khyobeni Mozhui,
- Zhengsheng Li,
- Virginija Jovaisaite,
- L. Darryl Quarles,
- Zhousheng Xiao,
- Jinsong Huang,
- John A. Capra,
- Zugen Chen,
- William L. Taylor,
- Lisa Bastarache,
- Xinnan Niu,
- Katherine S. Pollard,
- Daniel C. Ciobanu,
- Alexander O. Reznik,
- Artem V. Tishkov,
- Igor B. Zhulin,
- Junmin Peng,
- Stanley F. Nelson,
- Joshua C. Denny,
- Johan Auwerx,
- Lu Lu,
- Robert W. Williams
Affiliations
- Xusheng Wang
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center
- Ashutosh K. Pandey
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center
- Megan K. Mulligan
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center
- Evan G. Williams
- Laboratory of Integrative and Systems Physiology, School of Life Sciences, École Polytechnique Fédérale de Lausanne
- Khyobeni Mozhui
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center
- Zhengsheng Li
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center
- Virginija Jovaisaite
- Laboratory of Integrative and Systems Physiology, School of Life Sciences, École Polytechnique Fédérale de Lausanne
- L. Darryl Quarles
- Department of Medicine, University of Tennessee Health Science Center
- Zhousheng Xiao
- Department of Medicine, University of Tennessee Health Science Center
- Jinsong Huang
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center
- John A. Capra
- Department of Biomedical Informatics, Vanderbilt University School of Medicine
- Zugen Chen
- Department of Human Genetics, University of California
- William L. Taylor
- Molecular Resource Center, University of Tennessee Health Science Center
- Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University School of Medicine
- Xinnan Niu
- Department of Biomedical Informatics, Vanderbilt University School of Medicine
- Katherine S. Pollard
- Gladstone Institutes
- Daniel C. Ciobanu
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center
- Alexander O. Reznik
- Joint Institute for Computational Sciences, University of Tennessee—Oak Ridge National Laboratory
- Artem V. Tishkov
- Joint Institute for Computational Sciences, University of Tennessee—Oak Ridge National Laboratory
- Igor B. Zhulin
- Joint Institute for Computational Sciences, University of Tennessee—Oak Ridge National Laboratory
- Junmin Peng
- St Jude Proteomics Facility, St Jude Children's Research Hospital
- Stanley F. Nelson
- Department of Human Genetics, University of California
- Joshua C. Denny
- Department of Biomedical Informatics, Vanderbilt University School of Medicine
- Johan Auwerx
- Laboratory of Integrative and Systems Physiology, School of Life Sciences, École Polytechnique Fédérale de Lausanne
- Lu Lu
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center
- Robert W. Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center
- DOI
- https://doi.org/10.1038/ncomms10464
- Journal volume & issue
-
Vol. 7,
no. 1
pp. 1 – 13
Abstract
Phenome-wide association is a novel method that links sequence variants to a spectrum of phenotypes and diseases. Here the authors generate detailed mouse genetic and phenome data which links their phenome-wide association study (PheWAS) of mouse to corresponding PheWAS in human.
