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Whole-genome sequencing reveals host factors underlying critical COVID-19.
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.
  • Kousathanas A; Genomics England, London, UK.
  • Pairo-Castineira E; Roslin Institute, University of Edinburgh, Edinburgh, UK.
  • Rawlik K; MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.
  • Stuckey A; Roslin Institute, University of Edinburgh, Edinburgh, UK.
  • Odhams CA; Genomics England, London, UK.
  • Walker S; Genomics England, London, UK.
  • Russell CD; Genomics England, London, UK.
  • Malinauskas T; Roslin Institute, University of Edinburgh, Edinburgh, UK.
  • Wu Y; Centre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
  • Millar J; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
  • Shen X; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.
  • Elliott KS; Roslin Institute, University of Edinburgh, Edinburgh, UK.
  • Griffiths F; Biostatistics Group, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China.
  • Oosthuyzen W; Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Morrice K; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
  • Keating S; Roslin Institute, University of Edinburgh, Edinburgh, UK.
  • Wang B; Roslin Institute, University of Edinburgh, Edinburgh, UK.
  • Rhodes D; Edinburgh Clinical Research Facility, Western General Hospital, University of Edinburgh, Edinburgh, UK.
  • Klaric L; Intensive Care Unit, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Zechner M; Roslin Institute, University of Edinburgh, Edinburgh, UK.
  • Parkinson N; Genomics England, London, UK.
  • Siddiq A; MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.
  • Goddard P; Roslin Institute, University of Edinburgh, Edinburgh, UK.
  • Donovan S; Roslin Institute, University of Edinburgh, Edinburgh, UK.
  • Maslove D; Genomics England, London, UK.
  • Nichol A; Genomics England, London, UK.
  • Semple MG; Genomics England, London, UK.
  • Zainy T; Department of Critical Care Medicine, Queen's University and Kingston Health Sciences Centre, Kingston, Ontario, Canada.
  • Maleady-Crowe F; Clinical Research Centre at St Vincent's University Hospital, University College Dublin, Dublin, Ireland.
  • Todd L; NIHR Health Protection Research Unit for Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
  • Salehi S; Respiratory Medicine and Institute in the Park, Alder Hey Children's Hospital and University of Liverpool, Liverpool, UK.
  • Knight J; Genomics England, London, UK.
  • Elgar G; Genomics England, London, UK.
  • Chan G; Genomics England, London, UK.
  • Arumugam P; Genomics England, London, UK.
  • Patch C; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
  • Rendon A; Genomics England, London, UK.
  • Bentley D; Genomics England, London, UK.
  • Kingsley C; Genomics England, London, UK.
  • Kosmicki JA; Genomics England, London, UK.
  • Horowitz JE; Genomics England, London, UK.
  • Baras A; Illumina Cambridge, Great Abington, UK.
  • Abecasis GR; Illumina Cambridge, Great Abington, UK.
  • Ferreira MAR; Regeneron Genetics Center, Tarrytown, NY, USA.
  • Justice A; Regeneron Genetics Center, Tarrytown, NY, USA.
  • Mirshahi T; Regeneron Genetics Center, Tarrytown, NY, USA.
  • Oetjens M; Regeneron Genetics Center, Tarrytown, NY, USA.
  • Rader DJ; Regeneron Genetics Center, Tarrytown, NY, USA.
  • Ritchie MD; Geisinger, Danville, PA, USA.
  • Verma A; Geisinger, Danville, PA, USA.
Nature ; 607(7917): 97-103, 2022 07.
Article in English | MEDLINE | ID: covidwho-1730298
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Human / Critical Illness / Host-Pathogen Interactions / Whole Genome Sequencing / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Nature Year: 2022 Document Type: Article Affiliation country: S41586-022-04576-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Human / Critical Illness / Host-Pathogen Interactions / Whole Genome Sequencing / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Nature Year: 2022 Document Type: Article Affiliation country: S41586-022-04576-6