Multi-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasis

Abstract Background Psoriasis is a common chronic, recurrent, immune-mediated disease involved in the skin or joints or both. However, deeper insight into the genetic susceptibility of psoriasis is still unclear. Methods Here we performed the largest multi-ancestry meta-analysis of genome-wide assoc...

Full description

Saved in:
Bibliographic Details
Main Authors: Min Zhang, Wenting Su, Jiahui Deng, Bin Zhai, Gaizhi Zhu, Ran Gao, Qi Zeng, Jinming Qiu, Ziqing Bian, He Xiao, Guoming Luan, Renxi Wang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Journal of Translational Medicine
Subjects:
Online Access:https://doi.org/10.1186/s12967-024-06015-8
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832571406616887296
author Min Zhang
Wenting Su
Jiahui Deng
Bin Zhai
Gaizhi Zhu
Ran Gao
Qi Zeng
Jinming Qiu
Ziqing Bian
He Xiao
Guoming Luan
Renxi Wang
author_facet Min Zhang
Wenting Su
Jiahui Deng
Bin Zhai
Gaizhi Zhu
Ran Gao
Qi Zeng
Jinming Qiu
Ziqing Bian
He Xiao
Guoming Luan
Renxi Wang
author_sort Min Zhang
collection DOAJ
description Abstract Background Psoriasis is a common chronic, recurrent, immune-mediated disease involved in the skin or joints or both. However, deeper insight into the genetic susceptibility of psoriasis is still unclear. Methods Here we performed the largest multi-ancestry meta-analysis of genome-wide association study including 28,869 psoriasis cases and 443,950 healthy controls. Results We identified 74 genome-wide significant loci for psoriasis. Of 74 loci, 32 were novel psoriasis risk loci. Across 74 loci, 801 likely causal genes are indicated and 164 causal genes are prioritized. SNP-based heritability analyses demonstrated that common variants explain 15% of genetic risk for psoriasis. Gene-set analyses and the genetic correlation revealed that psoriasis-related genes have the positive correlations with autoimmune diseases such as ulcerative colitis, inflammatory bowel diseases, and Crohn’s disease. Gene-drug interaction analysis suggested that psoriasis-associated genes overlapped with targets of current medications for psoriasis. Finally, we used the multi-ancestry meta-analysis to explore drug repurposing and the potential targets for psoriasis. Conclusions We identified 74 genome-wide significant loci for psoriasis. Based on 74 loci, we provided new biological insights to the etiology of psoriasis. Of clinical interest, we gave some hints for 76 potential targets and drug repurposing for psoriasis.
format Article
id doaj-art-d30340b19d8e48ba964b719f38e00ac2
institution Kabale University
issn 1479-5876
language English
publishDate 2025-01-01
publisher BMC
record_format Article
series Journal of Translational Medicine
spelling doaj-art-d30340b19d8e48ba964b719f38e00ac22025-02-02T12:40:24ZengBMCJournal of Translational Medicine1479-58762025-01-0123111910.1186/s12967-024-06015-8Multi-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasisMin Zhang0Wenting Su1Jiahui Deng2Bin Zhai3Gaizhi Zhu4Ran Gao5Qi Zeng6Jinming Qiu7Ziqing Bian8He Xiao9Guoming Luan10Renxi Wang11Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical UniversityBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical UniversityDepartment of Neurosurgery, SanBo Brain Hospital, Capital Medical UniversityDepartment of Hematology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General HospitalBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical UniversityBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical UniversityBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical UniversityBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical UniversityBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical UniversityState Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and ToxicologyDepartment of Neurosurgery, SanBo Brain Hospital, Capital Medical UniversityBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical UniversityAbstract Background Psoriasis is a common chronic, recurrent, immune-mediated disease involved in the skin or joints or both. However, deeper insight into the genetic susceptibility of psoriasis is still unclear. Methods Here we performed the largest multi-ancestry meta-analysis of genome-wide association study including 28,869 psoriasis cases and 443,950 healthy controls. Results We identified 74 genome-wide significant loci for psoriasis. Of 74 loci, 32 were novel psoriasis risk loci. Across 74 loci, 801 likely causal genes are indicated and 164 causal genes are prioritized. SNP-based heritability analyses demonstrated that common variants explain 15% of genetic risk for psoriasis. Gene-set analyses and the genetic correlation revealed that psoriasis-related genes have the positive correlations with autoimmune diseases such as ulcerative colitis, inflammatory bowel diseases, and Crohn’s disease. Gene-drug interaction analysis suggested that psoriasis-associated genes overlapped with targets of current medications for psoriasis. Finally, we used the multi-ancestry meta-analysis to explore drug repurposing and the potential targets for psoriasis. Conclusions We identified 74 genome-wide significant loci for psoriasis. Based on 74 loci, we provided new biological insights to the etiology of psoriasis. Of clinical interest, we gave some hints for 76 potential targets and drug repurposing for psoriasis.https://doi.org/10.1186/s12967-024-06015-8PsoriasisMeta-analysisGenetic variantsGWASRisk loci
spellingShingle Min Zhang
Wenting Su
Jiahui Deng
Bin Zhai
Gaizhi Zhu
Ran Gao
Qi Zeng
Jinming Qiu
Ziqing Bian
He Xiao
Guoming Luan
Renxi Wang
Multi-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasis
Journal of Translational Medicine
Psoriasis
Meta-analysis
Genetic variants
GWAS
Risk loci
title Multi-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasis
title_full Multi-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasis
title_fullStr Multi-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasis
title_full_unstemmed Multi-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasis
title_short Multi-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasis
title_sort multi ancestry genome wide meta analysis with 472 819 individuals identifies 32 novel risk loci for psoriasis
topic Psoriasis
Meta-analysis
Genetic variants
GWAS
Risk loci
url https://doi.org/10.1186/s12967-024-06015-8
work_keys_str_mv AT minzhang multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis
AT wentingsu multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis
AT jiahuideng multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis
AT binzhai multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis
AT gaizhizhu multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis
AT rangao multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis
AT qizeng multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis
AT jinmingqiu multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis
AT ziqingbian multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis
AT hexiao multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis
AT guomingluan multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis
AT renxiwang multiancestrygenomewidemetaanalysiswith472819individualsidentifies32novelrisklociforpsoriasis