Frontiers in ImmunologyGenetic & Genomic MedicinePeer-reviewed journal article
The genetic risk for COVID-19 severity is associated with defective innate immune responses
Yunus KuijpersiD, Xiaojing ChuiD, Martin JaegeriD, Simone J.C.F.M. MoorlagiD, Valerie A. C. M. KoekeniD, Bowen ZhangiD, Aline de NooijeriD, Inge GrondmaniD, Manoj Kumar GuptaiD, Nico A. F. JansseniD, Vera P. MouritsiD, L. Charlotte J. de BreeiD, Quirijn de MastiD, Frank L. van de VeerdonkiD, Leo A. B. JoosteniD, Yang LiiD, Mihai Gheorghe NeteaiD, Cheng‐Jian XuiD
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Abstract
Recent genome-wide association studies (GWASs) of COVID-19 patients of European ancestry have identified genetic loci significantly associated with disease severity (1). Here, we employed the detailed clinical, immunological and multi-omics dataset of the Human Functional Genomics Projects (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 increased susceptibility for severe disease in individuals with defective monocyte-derived cytokine production; ii. 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. One Sentence summaryIn this study, we explore the physiological significance of the genetic variants associated with COVID-19 severity using detailed clinical, immunological and multi-omics data from large cohorts. Our findings allow a physiological understanding of genetic susceptibility to severe COVID-19, and indicate pathways that could be targeted for prevention and therapy.
- organism: human
- assay: bulk RNA-seq
- assay: multiome
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
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