The Deep and Frequent Phenotyping Study aims to discover new ways of diagnosing dementia, ideally decades before the symptoms become apparent in order to give future drug treatments the best chance of working.
The Deep and Frequent Phenotyping Study (DFP) will use big-data mathematical analyses to determine which tests, or combination of tests, might best predict the onset of Alzheimer’s Disease. This project was first announced around one year ago, and work is now about to start. Example of the tests to be considered include regular brain scans, cognitive and memory testing, retinal imaging, blood tests and applications of wearable technology to measure imperceptible changes to movement and gait.
“The Deep and Frequent Phenotyping Study, involving eight UK universities and the Alzheimer’s Society, and led by Prof Simon Lovestone at the University of Oxford, will aim to find the very earliest signs of Alzheimer’s, between 10 and 20 years before the symptoms become more obvious”.
Bomford, A. (2017). Spotting the earliest signs of Alzheimer’s. London: BBC Health News, June 26th 2017.
Recent coverage by BBC Radio 4’s World At One programme:
Bomford, A. (2017). How close are we to effectively treating Alzheimer’s? London: BBC Radio 4’s World At One, June 27th 2017.
Further detail is available here:
Deep and Frequent Phenotyping; combinatorial biomarkers for dementia experimental medicine. [Online]: Gateway to Research (GtR), May 23rd 2017.
There is also a poster abstract, which mentions some earlier references:
Abbott, R. Lovestone, S. [and] Lawson, J. [et al] on behalf of the DFP Study Team (2017). The Deep and Frequent Phenotyping (DFP) CANTAB cognitive assessment from the feasibility study.
Possibly of interest:
Full Text Link (Note: This article requires a suitable Athens password, a journal subscription or payment for access).
Nathan, PJ. Lim, YY. [and] Abbott, R. [et al]; PharmaCog Consortium. (2017). Association between CSF biomarkers, hippocampal volume and cognitive function in patients with amnestic mild cognitive impairment (MCI). Neurobiology of Aging. May 2017; 53: 1-10.