Biomarker identification for Alzheimer’s disease through integration of comprehensive Mendelian randomization and proteomics data
Comprehensive MR analyses with multi-omics data identified five plasma proteins that had causal effects on AD, highlighting potential biomarkers or drug targets for better diagnosis and treatment for AD.
Authors
- Davis Cammann (ORCID: https://orcid.org/0009-0008-2202-5790)
- Jingchun Chen (ORCID: https://orcid.org/0000-0001-9408-0117)
- Xianjun Dong (ORCID: https://orcid.org/0000-0002-8052-9320)
- Hui Zhan
- Jeffrey L. Cummings
Institutions
- University of Nevada, Las Vegas (US)
- Yale University (US)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1186/s12967-025-06317-5
- Citations
- 9
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 16.36
Funders
- Alzheimer's Drug Discovery Foundation
- IDSA Foundation
- National Institute on Aging
- National Institute of General Medical Sciences
- National Institute of Neurological Disorders and Stroke