Identifying genetic and cellular connections and distinctions among 15 autoimmune diseases using an in-silico approach
By integrating GWAS and multi-omics data, our study delineates the genetic and regulatory architecture underlying autoimmunity, suggesting potential therapeutic targets and opportunities for drug repurposing.
Authors
- Xiao Dang (ORCID: https://orcid.org/0000-0001-6609-2807)
- Xiaohong Yang (ORCID: https://orcid.org/0000-0001-6438-948X)
- Caicai Zhang (ORCID: https://orcid.org/0000-0002-7687-0518)
- X X Chen
- Feng Hong (ORCID: https://orcid.org/0000-0002-4167-6037)
- Sen Yang (ORCID: https://orcid.org/0000-0001-9430-7916)
- Qingyun Wang (ORCID: https://orcid.org/0009-0007-5606-8505)
- Yongfei Wang
- Yu Lung Lau
- Lei Yao (ORCID: https://orcid.org/0009-0009-2801-8783)
- Huidong Su
- Chun Hing She
- Jing Yang
- Cinderella Xinxin Yang
Institutions
- Chinese University of Hong Kong, Shenzhen (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- Communications Medicine
- Published
- 2026-03-07
- DOI
- https://doi.org/10.1038/s43856-026-01487-9
- Primary Topic
- Diabetes and associated disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00