Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19

被引:0
|
作者
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. Patrícia Bento
Inigo Barrio-Hernandez
Lars Rönnblom
Niklas Hagberg
Christian Lundtoft
Claudia Langenberg
Maik Pietzner
Dennis Valentine
Stefano Gustincich
Gian Gaetano Tartaglia
Elias Allara
Praveen Surendran
Stephen Burgess
Jing Hua Zhao
James E. Peters
Bram P. Prins
Emanuele Di Angelantonio
Poornima Devineni
Yunling Shi
Kristine E. Lynch
Scott L. DuVall
Helene Garcon
Lauren O. 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
Pedro Beltrao
John Danesh
Adriana M. Hung
Kyong-Mi Chang
Yan V. Sun
Jacob Joseph
机构
[1] VA Boston Healthcare System,Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC)
[2] University of Cambridge,BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care
[3] Istituto Italiano di Tecnologia,Central RNA Lab
[4] University of California Los Angeles,Department of Pathology and Laboratory Medicine, David Geffen School of Medicine
[5] University of São Paulo,Laboratory of Genetics and Molecular Cardiology, Heart Institute
[6] Harvard University,Genetics Department, Harvard Medical School
[7] European Molecular Biology Laboratory,Chemical Biology
[8] European Bioinformatics Institute,Department of Epidemiology
[9] Erasmus Medical Center,Department of Population and Quantitative Health Sciences
[10] Louis Stokes Cleveland VA Medical Center,The Corporal Michael J. Crescenz VA Medical Center
[11] Case Western Reserve University and Louis Stoke,Department of Medicine
[12] Cleveland VA,Biostatistics, School of Public Health
[13] Perelman School of Medicine at the University of Pennsylvania,European Molecular Biology Laboratory
[14] Perelman School of Medicine at the University of Pennsylvania,Department of Medical Sciences
[15] Boston University,Berlin Institute of Health
[16] European Bioinformatics Institute,MRC Epidemiology Unit
[17] Uppsala University,Institute of Health Informatics
[18] Charité University Medicine Berlin,Health Data Research
[19] University of Cambridge,British Heart Foundation Centre of Research Excellence
[20] University College London,Health Data Research UK Cambridge
[21] University College London,Department of Public Health and Primary Care
[22] University of Cambridge,MRC Biostatistics Unit
[23] Wellcome Genome Campus and University of Cambridge,Centre for Inflammatory Disease, Dept of Immunology and Inflammation
[24] University of Cambridge,National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics
[25] University of Cambridge,National Institute for Health Research Cambridge Biomedical Research Centre
[26] Imperial College,VA Informatics and Computing Infrastructure
[27] University of Cambridge,Department of Internal Medicine, Epidemiology
[28] University of Cambridge and Cambridge University Hospitals,Department of Epidemiology and Biostatistics
[29] VA Salt Lake City Health Care System,Center for Population Genomics
[30] University of Utah,Cardiology
[31] University of Arizona,Medicine
[32] Phoenix VA Health Care System,Department of Medicine
[33] Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC),Department of Psychiatry and Behavioral Sciences
[34] VA Boston Healthcare System,Office of Research and Development
[35] VA Boston Healthcare System,Nephrology & Hypertension
[36] Brigham and Women’s Hospital,Department of Epidemiology
[37] Harvard Medical School,Medicine, Cardiovascular
[38] Epidemiology Research and Information Center (ERIC),Department of Veterans Affairs, Tennessee Valley Healthcare System
[39] VA Palo Alto Health Care System,Medicine, Epidemiology, Vanderbilt Genetics Institute
[40] Stanford University School of Medicine,Division of Aging
[41] MIRECC,undefined
[42] Durham VA Medical Center,undefined
[43] Duke University School of Medicine,undefined
[44] Department of Veterans Affairs,undefined
[45] VA Tennessee Valley Healthcare System,undefined
[46] Vanderbilt University,undefined
[47] The Corporal Michael J. Crescenz VA Medical Center,undefined
[48] Atlanta VA Health Care System,undefined
[49] Emory University Rollins School of Public Health,undefined
[50] VA Boston Healthcare System and Brigham & Women’s Hospital,undefined
来源
Nature Medicine | 2021年 / 27卷
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摘要
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 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 = 1.6 × 10−6; IFNAR2, P = 9.8 × 10−11 and IL-10RB, P = 2.3 × 10−14) using cis-expression quantitative trait loci genetic instruments that also had strong evidence for colocalization with COVID-19 hospitalization. To disentangle the shared expression quantitative trait loci 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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页码:668 / 676
页数:8
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