bioRxiv preprint doi: https://doi.org/10.1101/471748; this version posted February 26, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Running head: trans-PrediXcan 1 Imputed gene associations identify replicable trans-acting genes enriched in transcription pathways and complex traits Heather E. Wheeler1,2,3,∗, Sally Ploch1, Alvaro N. Barbeira4, Rodrigo Bonazzola4, Angela Andaleon1, Alireza Fotuhi Sishpirani5, Ashis Saha6, Alexis Battle6,7, Sushmita Roy8, Hae Kyung Im4∗ 1Department of Biology, Loyola University Chicago, Chicago, IL 2Department of Computer Science, Loyola University Chicago, Chicago, IL 3Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 4Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 5Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI 6Department of Computer Science, Johns Hopkins University, Baltimore, MD 7 Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 8Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI Correspondence ∗
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[email protected] Grants This work is supported by the NIH/NHGRI Academic Research Enhancement Award R15 HG009569 (Wheeler), NIH/NIMH R01 MH107666 and NIDDK P30 DK20595 (Im), and NIH/NIMH R01 MH109905 (Battle). bioRxiv preprint doi: https://doi.org/10.1101/471748; this version posted February 26, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.