A Multi-omics approach to identify and validate shared genetic architecture in rheumatoid arthritis, multiple sclerosis, and type 1 diabetes: integrating GWAS, GEO, MSigDB, and scRNA-seq data.
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| Title: | A Multi-omics approach to identify and validate shared genetic architecture in rheumatoid arthritis, multiple sclerosis, and type 1 diabetes: integrating GWAS, GEO, MSigDB, and scRNA-seq data. |
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| Authors: | Wang T; Department of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China., He Q; Department of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China., Chan KHK; Department of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China. kkhchan@cityu.edu.hk.; Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China. kkhchan@cityu.edu.hk.; Department of Epidemiology, Centre for Global Cardiometabolic Health, Brown University, Rhode Island, USA. kkhchan@cityu.edu.hk.; City University of Hong Kong, Room 1A-313, 3/F, Block 1, To Yuen Building, 31 To Yuen Street, Kowloon Tong, Kowloon, HKSAR, China. kkhchan@cityu.edu.hk. |
| Source: | Functional & integrative genomics [Funct Integr Genomics] 2025 Apr 21; Vol. 25 (1), pp. 91. Date of Electronic Publication: 2025 Apr 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 100939343 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-7948 (Electronic) Linking ISSN: 1438793X NLM ISO Abbreviation: Funct Integr Genomics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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