Omics · study · 2026
Widespread gene-environment interactions shape the immune response to SARS-CoV-2 infection in hospitalized COVID-19 patients
Listed in NCBI GEO
Genome-wide association studies performed in COVID-19 patients have uncovered various loci significantly associated with susceptibility to SARS-CoV-2 infection and disease severity.
Description
However, the underlying cis-regulatory genetic factors contributing to heterogeneity in the response to SARS-CoV-2 infection and their impact on clinical phenotypes remain enigmatic. Here, we use single-cell RNA-sequencing to quantify genetic contributions to cis-regulatory variation in 361,119 peripheral blood mononuclear cells of 63 acute COVID-19 patients, 39 convalescent samples, and 106 healthy controls.
Expression quantitative trait loci mapping across cell types within each disease state group reveals thousands of cis-associated variants, of which hundreds are detected exclusively in immune cells derived from acute patients. Patient-specific genetic effects dissipate as infection resolves, suggesting that distinct gene regulatory networks are at play in the active infection state. Further, 20.3% of tested loci demonstrate significant cell state interactions with genotype, with pathways related to interferon responses and oxidative phosphorylation showing pronounced cell state-dependent variation, predominantly in CD14+ monocytes.
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Overall, we estimate that 16.8% of tested genes exhibit gene-environment interaction effects, highlighting the importance of environmental modifiers in the transcriptional regulation of the immune response to SARS-CoV-2. Our findings argue for the existence of extensive gene-environment effects among patients responding to an infection.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE281nnn/GSE281237 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE281237 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1182788 ncbi.nlm.nih.gov/bioproject/PRJNA1182788 ↗
project · from NCBI GEO
- PubMed 42049757 pubmed.ncbi.nlm.nih.gov/42049757 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE281237 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |