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Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization.
Pathak, Gita A; Singh, Kritika; Miller-Fleming, Tyne W; Wendt, Frank R; Ehsan, Nava; Hou, Kangcheng; Johnson, Ruth; Lu, Zeyun; Gopalan, Shyamalika; Yengo, Loic; Mohammadi, Pejman; Pasaniuc, Bogdan; Polimanti, Renato; Davis, Lea K; Mancuso, Nicholas.
  • Pathak GA; Yale School of Medicine, Department of Psychiatry, Division of Human Genetics, New Haven, CT, USA.
  • Singh K; Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA.
  • Miller-Fleming TW; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Wendt FR; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Ehsan N; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Hou K; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Johnson R; Yale School of Medicine, Department of Psychiatry, Division of Human Genetics, New Haven, CT, USA.
  • Lu Z; Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA.
  • Gopalan S; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
  • Yengo L; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
  • Mohammadi P; Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA.
  • Pasaniuc B; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Polimanti R; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Davis LK; Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
  • Mancuso N; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
Nat Commun ; 12(1): 4569, 2021 07 27.
Article in English | MEDLINE | ID: covidwho-1328846
ABSTRACT
Despite rapid progress in characterizing the role of host genetics in SARS-Cov-2 infection, there is limited understanding of genes and pathways that contribute to COVID-19. Here, we integrate a genome-wide association study of COVID-19 hospitalization (7,885 cases and 961,804 controls from COVID-19 Host Genetics Initiative) with mRNA expression, splicing, and protein levels (n = 18,502). We identify 27 genes related to inflammation and coagulation pathways whose genetically predicted expression was associated with COVID-19 hospitalization. We functionally characterize the 27 genes using phenome- and laboratory-wide association scans in Vanderbilt Biobank (n = 85,460) and identified coagulation-related clinical symptoms, immunologic, and blood-cell-related biomarkers. We replicate these findings across trans-ethnic studies and observed consistent effects in individuals of diverse ancestral backgrounds in Vanderbilt Biobank, pan-UK Biobank, and Biobank Japan. Our study highlights and reconfirms putative causal genes impacting COVID-19 severity and symptomology through the host inflammatory response.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2021 Document Type: Article Affiliation country: S41467-021-24824-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2021 Document Type: Article Affiliation country: S41467-021-24824-z