Evidence map›Paper›PMID 42802183›Full record

SynthesisNature communications2026

Integration of GWAS and single-cell analysis for psoriasis identifies disease-associated cell subtypes and therapeutic targets.

Hyeonbin Jo, Yeeun Ahn, Beomsu Kim, Minku Song, Injeong Shim, Soyeon Kim, Hoyoung Kim, Sanghoon Hong, Woong-Yang Park, Hong-Hee Won

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hyeonbin JoDepartment of Digital Health, Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-1774-6218
Yeeun AhnDepartment of Digital Health, Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-8584-5322
Beomsu KimDivision of Nephrology, Boston Children's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7410-4273
Minku SongDepartment of Digital Health, Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
Injeong ShimCenter for Genomic Medicine and Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1001-0945
Soyeon KimDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-2798-2257
Hoyoung KimDepartment of Digital Health, Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
Sanghoon HongDepartment of Digital Health, Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
Woong-Yang ParkDepartment of Health Science and Technology, Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4234-0380
Hong-Hee WonDepartment of Digital Health, Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea. wonhh@skku.edu.ORCID http://orcid.org/0000-0001-5719-0552

Funding

National Research Foundation of Korea (NRF) RS-2022-NR070328National Research Foundation of Korea (NRF) RS-2023-00223277
6 · The paper itself

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.

Indexed as

Genome-Wide Association StudyPsoriasisSingle-Cell AnalysisEndothelial CellsGene Expression ProfilingGenetic Predisposition to DiseaseHumansKeratinocytesMyeloid CellsPolymorphism, Single NucleotideSingle-Cell Gene Expression AnalysisT-LymphocytesTranscriptome

Identifiers

PMID42802183
PMCPMC13616972

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.