bioRxiv preprint doi: https://doi.org/10.1101/2021.04.07.438882; this version posted April 8, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. bioRxiv preprint Discovery of target genes and pathways of blood trait loci using pooled CRISPR screens and single cell RNA sequencing John A. Morris1,2, Zharko Daniloski1,2, Júlia Domingo1, Timothy Barry3, Marcello Ziosi1, Dafni A. Glinos1,4, Stephanie Hao5, Eleni P. Mimitou5, Peter Smibert5, Kathryn Roeder3,6, Eugene Katsevich7, Tuuli Lappalainen1,4*, Neville E. Sanjana1,2* 1. New York Genome Center, New York, USA 2. Department of Biology, New York University, New York, USA 3. Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, USA 4. Department of Systems Biology, Columbia University, New York, USA 5. Technology Innovation Lab, New York Genome Center, New York, USA 6. Computational Biology Department, Carnegie Mellon University, Pittsburgh, USA 7. Department of Statistics, Wharton School, University of Pennsylvania, Philadelphia, USA * Correspondence:
[email protected] (TL),
[email protected] (NES) bioRxiv preprint doi: https://doi.org/10.1101/2021.04.07.438882; this version posted April 8, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract The majority of variants associated with complex traits and common diseases identified by genome-wide association studies (GWAS) map to noncoding regions of the genome with unknown regulatory effects in cis and trans. By leveraging biobank-scale GWAS data, massively parallel CRISPR screens and single cell transcriptome sequencing, we discovered target genes of noncoding variants for blood trait loci.