Blood‐based protein predictors of dementia severity as measured by δ: Replication across biofluids and cohorts
Abstract
Dementia severity can be empirically described by the latent dementia phenotype “δ” and its various composite “homologs”. We have explored δ's blood‐based protein biomarkers in the Texas Alzheimer's Research and Care Consortium (TARCC) study. However, it would be convenient to replicate those associations in the Alzheimer's Disease Neuroimaging Initiative (ADNI). To this end, we recently engineered a δ homolog from observed cognitive performance measures common to both projects (i.e., “dT2A”).
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Dec 01, 2019
- Source ID
- 10.1016/j.dadm.2019.09.002
Entities
People
- Aisha Khaleeq Ansari
- Alan Stevens
- Alyssa Aguirre
- Benjamin S. Williams
- David Paydarfar
- Donald R. Royall
- Donald Royall
- Douglas Mains
- Eveleen Darby
- Gayle Ayres
- Hemachandra Reddy
- Henrick Wilms
- James R. Hall
- Janet Smith
- Janice Knebl
- Jeffrey L. Tilson
- Joan Reisch
- John Bertelson
- John C. Detoledo
- Kim Johnson
- Kirk C. Wilhelmsen
- Leigh Johnson
- Linda S. Hynan
- Lisa Alvarez
- Marcia Ory
- Marsha Polk
- Martin Woon
- Mary Quiceno
- Monica Rodriguear
- Munro Cullum
- Paul Massman
- Ram J. Bishnoi
- Raymond F. Palmer
- Raymond Palmer
- Robert C. Barber
- Roger Rosenberg
- Ryan Huebinger
- Sid E. O'bryant
- The Alzheimer’s Disease Neuroimaging Initiative*
- Thomas Fairchild
- Trung Nguyen
- Valory Pavlik
- Victoria Perez
Organizations
- Alzheimer's Disease Neuroimaging Initiative
- Canadian Institutes of Health Research
- Medical College of Georgia
- National Institute of Biomedical Imaging and Bioengineering
- National Institute on Aging
- National Institutes of Health
- United States Department of Defense
- University of Texas Health Science Center at San Antonio
- University of Texas at Austin