| Literature DB >> 35255492 |
Athanasios Kousathanas1, Erola Pairo-Castineira2,3, Konrad Rawlik2, Alex Stuckey1, Christopher A Odhams1, Susan Walker1, Clark D Russell2,4, Tomas Malinauskas5, Yang Wu6, Jonathan Millar2, Xia Shen7,8, Katherine S Elliott5, Fiona Griffiths2, Wilna Oosthuyzen2, Kirstie Morrice9, Sean Keating10, Bo Wang2, Daniel Rhodes1, Lucija Klaric3, Marie Zechner2, Nick Parkinson2, Afshan Siddiq1, Peter Goddard1, Sally Donovan1, David Maslove11, Alistair Nichol12, Malcolm G Semple13,14, Tala Zainy1, Fiona Maleady-Crowe1, Linda Todd1, Shahla Salehi1, Julian Knight5, Greg Elgar1, Georgia Chan1, Prabhu Arumugam1, Christine Patch1, Augusto Rendon1, David Bentley15, Clare Kingsley15, Jack A Kosmicki16, Julie E Horowitz16, Aris Baras16, Goncalo R Abecasis16, Manuel A R Ferreira16, Anne Justice17, Tooraj Mirshahi17, Matthew Oetjens17, Daniel J Rader18, Marylyn D Ritchie18, Anurag Verma18, Tom A Fowler1,19, Manu Shankar-Hari20, Charlotte Summers21, Charles Hinds22, Peter Horby23, Lowell Ling24, Danny McAuley25,26, Hugh Montgomery27, Peter J M Openshaw28,29, Paul Elliott30, Timothy Walsh10, Albert Tenesa2,3,8, Angie Fawkes9, Lee Murphy9, Kathy Rowan31, Chris P Ponting3, Veronique Vitart3, James F Wilson3,8, Jian Yang32,33, Andrew D Bretherick3, Richard H Scott1,34, Sara Clohisey Hendry2, Loukas Moutsianas1, Andy Law2, Mark J Caulfield35,36, J Kenneth Baillie37,38,39,40.
Abstract
Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2-4 after 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 (IL10RB and 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, ICAM5 and 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.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35255492 PMCID: PMC9259496 DOI: 10.1038/s41586-022-04576-6
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 69.504