bioRxivbioRxiv preprint preprint doi: doi: https://doi.org/10.1101/833210 https://doi.org/10.1101/833210. ;The this copyrightversion posted holder March for this 13, preprint 2020. (whichThe copyright was not holder peer-reviewed) for this preprint is the author/funder.(which was not It certified by peer review) is the author/funder,is made who hasavailable granted under bioRxiv a CC-BY a license 4.0 International to display the license preprint. in perpetuity. It is made available under aCC-BY 4.0 International license. PhenomeXcan: Mapping the genome to the phenome through the transcriptome Authors: Milton Pividori1†, Padma S. Rajagopal2†, Alvaro Barbeira1, Yanyu Liang1, Owen Melia1, Lisa Bastarache3, 4, YoSon Park5, The GTEx Consortium6, Xiaoquan Wen7*, Hae K. Im1* Affiliations: 1. Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA. 2. Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, USA. 3. Department of Biomedical Informatics, Department of Medicine, Vanderbilt University, Nashville, TN, USA. 4. Center for Human Genetics Research, Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN, USA. 5 Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA. 6. Please see Supplementary Materials for full author list 7. Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA. * Correspondence to
[email protected],
[email protected] † Both authors contributed equally to this manuscript One-Sentence Summary: PhenomeXcan is a gene-based resource of gene-trait associations with biological context that supports translational research. 1 bioRxivbioRxiv preprint preprint doi: doi: https://doi.org/10.1101/833210 https://doi.org/10.1101/833210.