Publication date: Jul 28, 2025
Current molecular quantitative trait locus catalogs are mostly at bulk resolution and centered on Europeans. Here, we constructed an immune cell atlas with single-cell transcriptomics of >1. 5 million peripheral blood mononuclear cells, host genetics, plasma proteomics and gut metagenomics from 235 Japanese persons, including patients with coronavirus disease 2019 (COVID-19) and healthy individuals. We mapped germline genetic effects on gene expression within immune cell types and across cell states. We elucidated cell type- and context-specific human leukocyte antigen (HLA) and genome-wide associations with T and B cell receptor repertoires. Colocalization using dynamic genetic regulation provided better understanding of genome-wide association signals. Differential gene and protein expression analyses depicted cell type- and context-specific effects of polygenic risks. Various somatic mutations including mosaic chromosomal alterations, loss of Y chromosome and mitochondrial DNA (mtDNA) heteroplasmy were projected into single-cell resolution. We identified immune features specific to somatically mutated cells. Overall, immune cells are dynamically regulated in a cell state-dependent manner characterized with multiomic profiles.

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| Concepts | Keywords |
|---|---|
| Atlas | Cell |
| Coronavirus | Cells |
| Japanese | Context |
| Loss | Dependent |
| Transcriptomics | Expression |
| Genetic | |
| Genome | |
| Immune | |
| Including | |
| Resolution | |
| Single | |
| Specific | |
| State | |
| Type | |
| Wide |
Semantics
| Type | Source | Name |
|---|---|---|
| disease | IDO | cell |
| disease | IDO | blood |
| disease | IDO | host |
| disease | MESH | coronavirus disease 2019 |
| drug | DRUGBANK | Tropicamide |
| disease | IDO | protein |