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Actionable druggable genome-wide Mendelian randomization identifies repurposingopportunities for COVID-19
Liam Gaziano; Claudia Giambartolomei; Alexandre C Pereira; Anna Gaulton; Daniel C Posner; Sonja A Swanson; Yuk Lam Ho; Sudha K Iyengar; Nicole M Kosik; Marijana Vujkovic; David R Gagnon; A Patricia Bento; Pedro Beltrao; Inigo Barrio Hernandez; Lars Ronnblom; Niklas Hagberg; Christian Lundtoft; Claudia Langenberg; Maik Pietzner; Dennis Valentine; Elias Allara; Praveen Surendran; Stephen Burgess; Jing Hua Zhao; James E Peters; Bram P Prins; John Danesh; Poornima Devineni; Yunling Shi; Kristine E Lynch; Scott L DuVall; Helene Garcon; Lauren Thomann; Jin J Zhou; Bryan R Gorman; Jennifer E Huffman; Christopher J O'Donnell; Philip S Tsao; Jean C Beckham; Saiju Pyarajan; Sumitra Muralidhar; Grant D Huang; Rachel Ramoni; Adriana M Hung; Kyong-Mi Chang; Yan V Sun; Jacob Joseph; Andrew R Leach; Todd L Edwards; Kelly Cho; J Michael Gaziano; Adam S Butterworth; Juan P Casas.
Afiliación
  • Liam Gaziano; VA Boston Healthcare System, University of Cambridge
  • Claudia Giambartolomei; Instituto Italiano di Tecnologia, University of California Los Angeles
  • Alexandre C Pereira; University of Sao Paulo, Harvard University
  • Anna Gaulton; European Molecular Biology Laboratory, European Bioinformatics Institute
  • Daniel C Posner; VA Boston Healthcare System
  • Sonja A Swanson; Erasmus Medical Center
  • Yuk Lam Ho; VA Boston Healthcare System
  • Sudha K Iyengar; Case Western Reserve University and Louis Stoke Cleveland VAMC
  • Nicole M Kosik; VA Boston Healthcare System
  • Marijana Vujkovic; The Corporal Michael J. Crescenz VA Medical Center, the University of Pennsylvania Perelman School of Medicine
  • David R Gagnon; Boston University, VA Boston Healthcare System
  • A Patricia Bento; European Molecular Biology Laboratory, European Bioinformatics Institute
  • Pedro Beltrao; European Molecular Biology Laboratory, European Bioinformatics Institute
  • Inigo Barrio Hernandez; European Molecular Biology Laboratory, European Bioinformatics Institute
  • Lars Ronnblom; Uppsala University
  • Niklas Hagberg; Uppsala University
  • Christian Lundtoft; Uppsala University
  • Claudia Langenberg; Charite University Medicine Berlin, Universityof Cambridge
  • Maik Pietzner; Universityof Cambridge
  • Dennis Valentine; University College London
  • Elias Allara; University of Cambridge
  • Praveen Surendran; Wellcome Genome Campus and University of Cambridge
  • Stephen Burgess; University of Cambridge
  • Jing Hua Zhao; University of Cambridge
  • James E Peters; Imperial College London
  • Bram P Prins; Wellcome Genome Campus and University of Cambridge
  • John Danesh; University of Cambridge
  • Poornima Devineni; VA Boston Healthcare System
  • Yunling Shi; VA Boston Healthcare System
  • Kristine E Lynch; VA Salt Lake City Health Care System, University of Utah
  • Scott L DuVall; VA Salt Lake City Health Care System, University of Utah
  • Helene Garcon; VA Boston Healthcare System
  • Lauren Thomann; VA Boston Healthcare System
  • Jin J Zhou; University of Arizona, Phoenix VA Health Care System
  • Bryan R Gorman; VA Boston Healthcare System
  • Jennifer E Huffman; VA Boston Healthcare System
  • Christopher J O'Donnell; VA Boston Healthcare System, Brigham and Women's Hospital, Harvard Medical School
  • Philip S Tsao; VA Palo Alto Health Care System, Stanford University School of Medicine
  • Jean C Beckham; Durham VA Medical Center, Duke University School of Medicine
  • Saiju Pyarajan; VA Boston Healthcare System, Brigham and Women's Hospital, Harvard Medical School
  • Sumitra Muralidhar; Department of Veterans Affairs
  • Grant D Huang; Department of Veterans Affairs
  • Rachel Ramoni; Department of Veterans Affairs
  • Adriana M Hung; Department of Veterans Affairs, Vanderbilt University
  • Kyong-Mi Chang; The Corporal Michael J. Crescenz VA Medical Center, University of Pennsylvania
  • Yan V Sun; Atlanta VA Health Care System, Emory University Rollins School of Public Health
  • Jacob Joseph; VA Boston Healthcare System and Brigham & Women's Hospital
  • Andrew R Leach; European Molecular Biology Laboratory, European Bioinformatics Institute
  • Todd L Edwards; Department of Veterans Affairs Tennessee Valley Healthcare System, Vanderbilt Genetics Institute Vanderbilt University Medical Center
  • Kelly Cho; VA Boston Healthcare System, Brigham and Women's Hospital, Harvard Medical School
  • J Michael Gaziano; VA Boston Healthcare System, Brigham and Women's Hospital, Harvard Medical School
  • Adam S Butterworth; University of Cambridge, Wellcome Genome Campus and University of Cambridge
  • Juan P Casas; VA Boston Healthcare System, Brigham and Women's Hospital, Harvard Medical School
Preprint en Inglés | medRxiv | ID: ppmedrxiv-20234120
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ABSTRACT
Drug repurposing provides a rapid approach to meet the urgent need for therapeutics to address COVID-19. To identify therapeutic targets relevant to COVID-19, we conducted Mendelian randomization (MR) analyses, deriving genetic instruments based on transcriptomic and proteomic data for 1,263 actionable proteins that are targeted by approved drugs or in clinical phase of drug development. Using summary statistics from the Host Genetics Initiative and the Million Veteran Program, we studied 7,554 patients hospitalized with COVID-19 and >1 million controls. We found significant Mendelian randomization results for three proteins (ACE2 P=1.6x10-6, IFNAR2 P=9.8x10-11, and IL-10RB P=1.9x10-14) using cis-eQTL genetic instruments that also had strong evidence for colocalization with COVID-19 hospitalization. To disentangle the shared eQTL signal for IL10RB and IFNAR2, we conducted phenome-wide association scans and pathway enrichment analysis, which suggested that IFNAR2 is more likely to play a role in COVID-19 hospitalization. Our findings prioritize trials of drugs targeting IFNAR2 and ACE2 for early management of COVID-19.
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Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Experimental_studies / Estudio pronóstico Idioma: Inglés Año: 2020 Tipo del documento: Preprint
Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Experimental_studies / Estudio pronóstico Idioma: Inglés Año: 2020 Tipo del documento: Preprint
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