Transcriptomics

Dataset Information

0

Widespread gene-environment interactions shape the immune response to SARS-CoV-2 infection


ABSTRACT: 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. 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. 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE281237 | GEO | 2026/04/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2025-03-31 | E-MTAB-14495 | biostudies-arrayexpress
2022-02-05 | E-MTAB-10740 | biostudies-arrayexpress
2021-03-17 | E-MTAB-10026 | biostudies-arrayexpress
2022-01-23 | GSE149687 | GEO
2021-03-20 | E-MTAB-10169 | biostudies-arrayexpress
2020-08-11 | GSE155241 | GEO
2023-12-04 | GSE248989 | GEO
2023-08-18 | GSE235436 | GEO
2023-08-18 | GSE235435 | GEO
2023-08-18 | GSE235433 | GEO