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Human Genomics of COVID-19 Pneumonia: Contributions of Rare and Common Variants.
Cobat, Aurélie; Zhang, Qian; Abel, Laurent; Casanova, Jean-Laurent; Fellay, Jacques.
  • Cobat A; Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Paris, France; email: aurelie.cobat@inserm.frmailto.
  • Zhang Q; Imagine Institute, University Paris Cité, Paris, France.
  • Covid Human Genetic Effort; St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA; email: casanova@mail.rockefeller.edu.
  • Abel L; Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Paris, France; email: aurelie.cobat@inserm.frmailto.
  • Casanova JL; Imagine Institute, University Paris Cité, Paris, France.
  • Fellay J; St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA; email: casanova@mail.rockefeller.edu.
Annu Rev Biomed Data Sci ; 2023 May 17.
Article in English | MEDLINE | ID: covidwho-2322493
ABSTRACT
SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infection is silent or benign in most infected individuals, but causes hypoxemic COVID-19 pneumonia in about 10% of cases. We review studies of the human genetics of life-threatening COVID-19 pneumonia, focusing on both rare and common variants. Large-scale genome-wide association studies have identified more than 20 common loci robustly associated with COVID-19 pneumonia with modest effect sizes, some implicating genes expressed in the lungs or leukocytes. The most robust association, on chromosome 3, concerns a haplotype inherited from Neanderthals. Sequencing studies focusing on rare variants with a strong effect have been particularly successful, identifying inborn errors of type I interferon (IFN) immunity in 1-5% of unvaccinated patients with critical pneumonia, and their autoimmune phenocopy, autoantibodies against type I IFN, in another 15-20% of cases. Our growing understanding of the impact of human genetic variation on immunity to SARS-CoV-2 is enabling health systems to improve protection for individuals and populations. Expected final online publication date for the Annual Review of Biomedical Data Science, Volume 6 is August 2023. Please see http//www.annualreviews.org/page/journal/pubdates for revised estimates.

Full text: Available Collection: International databases Database: MEDLINE Topics: Variants Language: English Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Topics: Variants Language: English Year: 2023 Document Type: Article