| Title: | Integration of GWAS and single-cell analysis for psoriasis identifies disease-associated cell subtypes and therapeutic targets |
| Journal: | Nature Communications |
| Published: | 27 Aug 2026 |
| DOI: | https://doi.org/10.1038/s41467-026-77309-2 |
| URL: | http://dx.doi.org/10.1038/s41467-026-77309-2 |
Publication 20874
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Abstract
Psoriasis is a heritable, common chronic autoimmune disorder characterized by cycles of remission and flare-ups. Here, we jointly analyze genomic and single-cell transcriptomic data to elucidate the genetic and molecular architecture of psoriasis. We perform a large-scale genome-wide meta-analysis of individuals of European ancestry (n = 1,131,685) and identify 125 independent susceptibility loci associated with psoriasis, including 17 previously unreported loci. Integrating these findings with single-cell transcriptome data identifies the predominant roles of myeloid and T cells in psoriasis and the enriched expression of disease-associated genes in keratinocytes and endothelial cell subsets. Finally, we prioritize 50 potential therapeutic target genes using multiple robust approaches and identify their cell subtype-specific activity patterns across non-lesional, lesional, and treatment conditions, thereby revealing layer-specific cross-cell-type interactions in psoriasis. These findings provide perspectives regarding the pathogenesis of psoriasis and highlight the role of immunometabolism in disease progression.</p>
10 Authors
- Hyeonbin Jo
- Yeeun Ahn
- Beomsu Kim
- Minku Song
- Injeong Shim
- Soyeon Kim
- Hoyoung Kim
- Sanghoon Hong
- Woong-Yang Park
- Hong-Hee Won
1 Application
| Application ID | Title |
|---|---|
| 33002 | Development of a computational method to predict disease risk |
Enabling scientific discoveries that improve human health