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PREVENT
Population Size
0
People
Years
2014
Associated BioSamples
None/not available
Geographic coverage
United Kingdom
Lead time
Data only
Summary
The PREVENT cohort study is a large-scale research project aimed at identifying early biomarkers and risk factors for Alzheimer’s disease and other neurodegenerative disorders in middle-aged individuals who are at risk due to family history or genetic predisposition. The study follows participants over time to track changes in cognitive function, brain structure, and biomarkers such as amyloid and tau protein levels, which are associated with Alzheimer's disease.
DOI for dataset
Documentation
The PREVENT Research Programme has established a cohort of individuals to explore differences in the brain and cognitive function in healthy people in mid-life (aged 40-59). People are grouped into high, mid and low risk based on their family history and APOE status (a well-known risk gene for Alzheimer’s disease). Participants are assessed on biological indicators including markers in blood, saliva, urine and spinal fluid as well as direct imaging of the brain's structure and function. Changes in all of these markers will be monitored at 2 years to work out if risks that predict these changes. One of the main aims of the study is to identify the earliest signs of changes in the brain whilst people are still in good health.
Dataset type
Health and disease, Imaging types
Dataset sub-type
Not applicable, Neurological
Associated media
Keywords
Provenance
Purpose of dataset collection
Study
Biological sample availability
None/not available
Structural Metadata
Details
Publishing frequency
Continuous
Version
1.0.0
Modified
17/02/2025
Coverage
Start date
28/02/2014
Time lag
Not applicable
Geographic coverage
United Kingdom
Minimum age range
40
Maximum age range
59
Follow-up
Continuous
Accessibility
Language
en
Alignment with standardised data models
OTHER
Controlled vocabulary
OTHER
Format
CSV
Data Access Request
Dataset pipeline status
Available
Access method category
TRE/SDE
Access service description
The Data Portal runs its analysis environment through a virtual desktop infrastructure accessible via VMWare software. By analysing the data in the virtual desktop environment you are working on DPUK's servers – meaning there is no physical transfer of data to researchers. The processing capacity enables you to work with large numbers of records and integrate these with the other data modalities that exist in the DPUK cohorts. This solution also offers researchers the freedom to conduct their analyses anywhere with an internet connection.
Data Controller
West London Mental Health Trust, Imperial College London and University of Edinburgh
Data Processor
Dementias Platform UK