Multi-omics analysis for identifying cell-type-specific and bulk-level druggable targets in Alzheimer’s disease
We systematically prioritized AD candidate causal genes based on cell type-level and bulk level molecular evidence. The integrative approach enhances our understanding of molecular mechanisms of AD-related genetic variants and facilitates interpretation of AD GWAS results.
Authors
- Andrew J. Saykin (ORCID: https://orcid.org/0000-0002-1376-8532)
- Tamina Park
- Minyoung Cho (ORCID: https://orcid.org/0000-0001-5023-0902)
- Paula J. Bice (ORCID: https://orcid.org/0000-0001-5357-9966)
- Thea Rosewood (ORCID: https://orcid.org/0000-0001-7025-0222)
- Soumilee Chaudhuri (ORCID: https://orcid.org/0000-0002-8488-6114)
- Nilüfer Ertekin‐Taner (ORCID: https://orcid.org/0000-0003-4436-8889)
- Dongjun Chung (ORCID: https://orcid.org/0000-0002-8072-5671)
- Kwangsik Nho (ORCID: https://orcid.org/0000-0002-7624-3872)
- Yen-Ning Huang (ORCID: https://orcid.org/0009-0003-4872-231X)
- David A. Bennett
- Shiwei Liu
Institutions
- Rush University Medical Center (US)
- Mayo Clinic in Florida (US)
- The Ohio State University (US)
- Indiana University – Purdue University Indianapolis (US)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-07-13
- DOI
- https://doi.org/10.1186/s12967-025-06739-1
- Citations
- 5
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 4.03
Funders
- National Institutes of Health