<HashMap><database>GEO</database><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE281237</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Widespread gene-environment interactions shape the immune response to SARS-CoV-2 infection</name><description>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.</description><dates><publication>2026/04/01</publication></dates><accession>GSE281237</accession><cross_references><GSM>GSM8615469</GSM><GSM>GSM8615467</GSM><GSM>GSM8615489</GSM><GSM>GSM8615468</GSM><GSM>GSM8615487</GSM><GSM>GSM8615465</GSM><GSM>GSM8615466</GSM><GSM>GSM8615488</GSM><GSM>GSM8615485</GSM><GSM>GSM8615464</GSM><GSM>GSM8615486</GSM><GSM>GSM8615483</GSM><GSM>GSM8615484</GSM><GSM>GSM8615481</GSM><GSM>GSM8615482</GSM><GSM>GSM8615480</GSM><GSM>GSM8615478</GSM><GSM>GSM8615479</GSM><GSM>GSM8615476</GSM><GSM>GSM8615477</GSM><GSM>GSM8615474</GSM><GSM>GSM8615475</GSM><GSM>GSM8615472</GSM><GSM>GSM8615473</GSM><GSM>GSM8615470</GSM><GSM>GSM8615492</GSM><GSM>GSM8615471</GSM><GSM>GSM8615490</GSM><GSM>GSM8615491</GSM><GPL>24676</GPL><GSE>281237</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>