4.8 Article

The Genetic Risk for COVID-19 Severity Is Associated With Defective Immune Responses

期刊

FRONTIERS IN IMMUNOLOGY
卷 13, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2022.859387

关键词

genome-wide association studies; COVID-19; genotyping; cytokine; single-cell

资金

  1. ERC [833247, 948207]
  2. Netherlands Organization for Scientific Research
  3. Radboud University Medical Centre
  4. Helmholtz Initiative and Networking Fund [1800167]
  5. German Federal Ministry of Education and Research [01KX2021]
  6. European Research Council (ERC) [948207] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

Recent genome-wide association studies have identified genetic loci associated with severe COVID-19. This study explores the physiological significance of these genetic variants using clinical, immunological, and multi-omics data. The findings suggest that genetically determined innate immune responses, defective cytokine production, and ABO blood groups play a role in severe COVID-19 susceptibility. These insights provide potential targets for prevention and therapy.
Recent genome-wide association studies (GWASs) of COVID-19 patients of European ancestry have identified genetic loci significantly associated with disease severity. Here, we employed the detailed clinical, immunological and multi-omics dataset of the Human Functional Genomics Project (HFGP) to explore the physiological significance of the host genetic variants that influence susceptibility to severe COVID-19. A genomics investigation intersected with functional characterization of individuals with high genetic risk for severe COVID-19 susceptibility identified several major patterns: i. a large impact of genetically determined innate immune responses in COVID-19, with ii. increased susceptibility for severe disease in individuals with defective cytokine production; iii. genetic susceptibility related to ABO blood groups is probably mediated through the von Willebrand factor (VWF) and endothelial dysfunction. We further validated these identified associations at transcript and protein levels by using independent disease cohorts. These insights allow a physiological understanding of genetic susceptibility to severe COVID-19, and indicate pathways that could be targeted for prevention and therapy.

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