» Articles » PMID: 34822289

Genetic Ancestry Effects on the Response to Viral Infection Are Pervasive but Cell Type Specific

Overview
Journal Science
Specialty Science
Date 2021 Nov 25
PMID 34822289
Citations 50
Authors
Affiliations
Soon will be listed here.
Abstract

Humans differ in their susceptibility to infectious disease, partly owing to variation in the immune response after infection. We used single-cell RNA sequencing to quantify variation in the response to influenza infection in peripheral blood mononuclear cells from European- and African-ancestry males. Genetic ancestry effects are common but highly cell type specific. Higher levels of European ancestry are associated with increased type I interferon pathway activity in early infection, which predicts reduced viral titers at later time points. Substantial population-associated variation is explained by cisexpression quantitative trait loci that are differentiated by genetic ancestry. Furthermore, genetic ancestry–associated genes are enriched among genes correlated with COVID-19 disease severity, suggesting that the early immune response contributes to ancestry-associated differences for multiple viral infection outcomes.

Citing Articles

Letter to the editor: Viral load decline time offers theoretical insight rather than practical value.

Hussein N, Mahfodh D Euro Surveill. 2025; 30(9).

PMID: 40051398 PMC: 11887032. DOI: 10.2807/1560-7917.ES.2025.30.9.2500151.


Single-cell immune aging clocks reveal inter-individual heterogeneity during infection and vaccination.

Li W, Zhang Z, Kumar S, Botey-Bataller J, Zoodsma M, Ehsani A Nat Aging. 2025; .

PMID: 40044970 DOI: 10.1038/s43587-025-00819-z.


Vancomycin Drug Reaction with Eosinophilia and Systemic Symptoms: Meta-Analysis and Pharmacovigilance Study.

Aboukaoud M, Adi Y, Abu-Shakra M, Morhi Y, Agbaria R J Clin Med. 2025; 14(3).

PMID: 39941601 PMC: 11818417. DOI: 10.3390/jcm14030930.


A unified framework for cell-type-specific eQTL prioritization by integrating bulk and scRNA-seq data.

Yu X, Hu X, Wan X, Zhang Z, Wan X, Cai M Am J Hum Genet. 2025; 112(2):332-352.

PMID: 39824189 PMC: 11866979. DOI: 10.1016/j.ajhg.2024.12.018.


Functional characterization of eQTLs and asthma risk loci with scATAC-seq across immune cell types and contexts.

Wei J, Resztak J, Ranjbaran A, Alazizi A, Mair-Meijers H, Slatcher R Am J Hum Genet. 2025; 112(2):301-317.

PMID: 39814021 PMC: 11866969. DOI: 10.1016/j.ajhg.2024.12.017.


References
1.
Hoffmann E, Neumann G, Kawaoka Y, HOBOM G, Webster R . A DNA transfection system for generation of influenza A virus from eight plasmids. Proc Natl Acad Sci U S A. 2000; 97(11):6108-13. PMC: 18566. DOI: 10.1073/pnas.100133697. View

2.
Bindea G, Mlecnik B, Hackl H, Charoentong P, Tosolini M, Kirilovsky A . ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks. Bioinformatics. 2009; 25(8):1091-3. PMC: 2666812. DOI: 10.1093/bioinformatics/btp101. View

3.
Eden E, Navon R, Steinfeld I, Lipson D, Yakhini Z . GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists. BMC Bioinformatics. 2009; 10:48. PMC: 2644678. DOI: 10.1186/1471-2105-10-48. View

4.
Ren X, Wen W, Fan X, Hou W, Su B, Cai P . COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas. Cell. 2021; 184(7):1895-1913.e19. PMC: 7857060. DOI: 10.1016/j.cell.2021.01.053. View

5.
Lee M, Ye C, Villani A, Raj T, Li W, Eisenhaure T . Common genetic variants modulate pathogen-sensing responses in human dendritic cells. Science. 2014; 343(6175):1246980. PMC: 4124741. DOI: 10.1126/science.1246980. View