Integrating amyloid imaging and genetics for early risk stratification of Alzheimer's disease
Accurate early risk assessment is critical for the success of clinical trials. A new risk score was built from integrating amyloid imaging and genetic data. Our risk score demonstrated improved capability in early risk stratification.
Authors
- Shannon L. Risacher (ORCID: https://orcid.org/0000-0002-3304-7943)
- Andrew J. Saykin (ORCID: https://orcid.org/0000-0002-1376-8532)
- Liana G. Apostolova (ORCID: https://orcid.org/0000-0003-1823-2451)
- Alice Patania (ORCID: https://orcid.org/0000-0002-3047-4376)
- Kwangsik Nho
- Pradeep Varathan Pugalenthi
- Bing He (ORCID: https://orcid.org/0000-0003-1719-9290)
- Li Shen (ORCID: https://orcid.org/0009-0002-0620-9887)
- Jingwen Yan (ORCID: https://orcid.org/0000-0001-9066-4908)
- Neel Sangani
- Ruiming Wu
Institutions
- University of Vermont (US)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-09-17
- DOI
- https://doi.org/10.1002/alz.14244
- Citations
- 7
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 2.70
Funders
- National Science Foundation
- National Institutes of Health
- National Institute on Aging
- U.S. National Library of Medicine