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Whole-genome sequencing reveals host factors underlying critical COVID-19

Authors :
Kousathanas, Athanasios
Pairo-Castineira, Erola
Rawlik, Konrad
Stuckey, Alex
Odhams, Christopher A.
Walker, Susan
Russell, Clark D.
Malinauskas, Tomas
Wu, Yang
Millar, Jonathan
Shen, Xia
Elliott, Katherine S.
Griffiths, Fiona
Oosthuyzen, Wilna
Morrice, Kirstie
Keating, Sean
Wang, Bo
Rhodes, Daniel
Klaric, Lucija
Zechner, Marie
Parkinson, Nick
Siddiq, Afshan
Goddard, Peter
Donovan, Sally
Maslove, David
Nichol, Alistair
Semple, Malcolm G.
Zainy, Tala
Maleady-Crowe, Fiona
Todd, Linda
Salehi, Shahla
Knight, Julian
Elgar, Greg
Chan, Georgia
Arumugam, Prabhu
Patch, Christine
Rendon, Augusto
Bentley, David
Kingsley, Clare
Kosmicki, Jack A.
Horowitz, Julie E.
Baras, Aris
Abecasis, Goncalo R.
Ferreira, Manuel A. R.
Justice, Anne
Mirshahi, Tooraj
Oetjens, Matthew
Rader, Daniel J.
Ritchie, Marylyn D.
Verma, Anurag
Fowler, Tom A.
Shankar-Hari, Manu
Summers, Charlotte
Hinds, Charles
Horby, Peter
Ling, Lowell
McAuley, Danny
Montgomery, Hugh
Openshaw, Peter J. M.
Elliott, Paul
Walsh, Timothy
Tenesa, Albert
Fawkes, Angie
Murphy, Lee
Rowan, Kathy
Ponting, Chris P.
Vitart, Veronique
Wilson, James F.
Yang, Jian
Bretherick, Andrew D.
Scott, Richard H.
Hendry, Sara Clohisey
Moutsianas, Loukas
Law, Andy
Caulfield, Mark J.
Baillie, J. Kenneth
Source :
Nature; 20240101, Issue: Preprints p1-16, 16p
Publication Year :
2024

Abstract

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1or hospitalization2–4after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RBand PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease.

Details

Language :
English
ISSN :
00280836 and 14764687
Issue :
Preprints
Database :
Supplemental Index
Journal :
Nature
Publication Type :
Periodical
Accession number :
ejs60220558
Full Text :
https://doi.org/10.1038/s41586-022-04576-6