Genetic ancestry effects on the response to viral infection are pervasive but cell type specific
Updated June 21, 2024Humans show remarkable variation in susceptibility to infectious diseases as well as chronic inflammatory and autoimmune disorders. This heterogeneity arises partially from variation in the immune response, which is responsible for preventing and controlling infection. To better understand the major factors driving antiviral immune response differences, we used single-cell RNA-sequencing to measure the effects of genetic ancestry and cis-regulatory variation on the transcriptional response to influenza infection in various immune cell types in 90 European and African American individuals. We show that monocytes are the most responsive to infection but that all cell types engage a conserved, type I IFN response, which is stronger in European individuals. Further, we detect directional, polygenic differences in expression phenotypes between populations that are under cis-genetic control and show that recent positive selection has acted on putatively causal risk loci associated with common autoimmune disorders. Our findings establish genetic ancestry and common cis-regulatory variants as important determinants governing the antiviral immune response, thus improving our understanding of the factors that contribute to differences in infectious and complex disease susceptibility. Overall design: Multiplexed single-cell RNA expression profiles of control (mock-infected) and influenza A virus (IAV)-infected peripheral blood mononuclear cells (PBMCs) collected from African and European American individuals
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Atlas
Analysis Portals
NoneProject Label
ancestryInfluencesImmuneResponseSpecies
Homo sapiens
Sample Type
specimens
Anatomical Entity
blood
Organ Part
Unspecified
Selected Cell Types
peripheral blood mononuclear cell
Disease Status (Specimen)
normal
Disease Status (Donor)
normal
Development Stage
human adult stage
Library Construction Method
10x 3' v2
Nucleic Acid Source
single cell
Paired End
falseAnalysis Protocol
analysis_protocol_1File Format
Cell Count Estimate
235.0kDonor Count
90