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GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Authors
Malak Abedalthagaf
Colin Begg
+57 more
Andrew D. Bretherick
Ángel Carracedo
Sara Clohisey Hendry
Raquel Cruz
Benjamin Fairfax
Angie Fawkes
Carlos Flores
GenOMICC Investigators
Fiona Griffiths
Charles Hinds
Peter Horby
ISARICC Investigators
Sean Keating
J. Kenneth Baillie
Lucija Klaric
Julian Knigh
Athanasios Kousathanas
Pablo Lapunzina
Andy Law
Lowell Ling
Andre D. Luchess
Tomas Malinauskas
David Maslove
Danny McAuley
Glenn A. McConkey
Jonathan Milla
Hugh Montgomery
Kirstie Morrice
Lee Murphy
Isar Nassiri
Alistair Nicho
Wilna Oosthuyzen
Peter J. M. Openshaw
Erola Pairo-Castineira
Esteban J. Parra
Alexandre C. Pereira
Chris Ponting
Ting Qi
Konrad Rawlik
José A. Riancho
Anne Richmond
Augusto Rojas-Martinez
Kathy Rowan
Clark D. Russel
SCOURGE Consortium
Malcolm G. Semple
Manu Shankar-Hari
Charlotte Summers
Albert Tenesa
The 23andMe COVID-19 Team
Ryan Thwaites
Veronique Vitart
Timothy Walsh
James F. Wilson
Yang Wu
Jian Yang
Marie Zechner
Publication date
17 May 2023
Publisher
Springer Nature
Abstract
©2023 The Author(s). This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. This document is the Published, version of a Published Work that appeared in final form in Nature. To access the final edited and published work see https://doi.org/10.1038s41586-023-06034-3Critical illness in COVID-19 is an extreme and clinically homogeneous disease phenotype that we have previously shown1 to be highly efficient for discovery of genetic associations2. Despite the advanced stage of illness at presentation, we have shown that host genetics in patients who are critically ill with COVID-19 can identify immunomodulatory therapies with strong beneficial effects in this group3. Here we analyse 24,202 cases of COVID-19 with critical illness comprising a combination of microarray genotype and whole-genome sequencing data from cases of critical illness in the international GenOMICC (11,440 cases) study, combined with other studies recruiting hospitalized patients with a strong focus on severe and critical disease: ISARIC4C (676 cases) and the SCOURGE consortium (5,934 cases). To put these results in the context of existing work, we conduct a meta-analysis of the new GenOMICC genome-wide association study (GWAS) results with previously published data. We find 49 genome-wide significant associations, of which 16 have not been reported previously. To investigate the therapeutic implications of these findings, we infer the structural consequences of protein-coding variants, and combine our GWAS results with gene expression data using a monocyte transcriptome-wide association study (TWAS) model, as well as gene and protein expression using Mendelian randomization. We identify potentially druggable targets in multiple systems, including inflammatory signalling ( JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A)
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DIGITUM Universidad de Murcia (España)
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Last time updated on 10/10/2024