Documentation
Description:
DecodeME aims to find genetic causes of why people become ill with ME/CFS. It aims to recruit 25,000 participants in the UK who have been diagnosed with ME/CFS by a health professional. Participants are assessed according to Canadian Consensus and Institute of Medicine (NAM) criteria. Participant data has been collected using the CureME Questionnaire with additional questions. 5,000 of these participants will have been diagnosed with ME/CFS following COVID-19 infection. Phenotype data include information relating to post-exertional malaise, fatigue and pain symptoms.
Coverage
Spatial:
United Kingdom
Typical Age Range:
0-150
Provenance
Origin
Purposes:
Study
Temporal
Accrual Periodicity:
Static
Start Date:
26 October 2021
Time Lag:
Not applicable
Accessibility
Access
Access Rights:
Delivery Lead Time:
Not applicable
Jurisdictions:
GB
Data Controller:
University of Edinburgh
Usage
Resource Creators:
University of Edinburgh
Format and Standards
Vocabulary Encoding Schemes:
OTHER
Languages:
en
Formats:
questionnaire
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
The study aims to recruit 25,000 patients in the UK who have been diagnosed with ME/CFS by a health professional
25000
Count
26 October 2021
Persons
The study aims to recruit 5,000 of participants who have been diagnosed with ME/CFS following COVID-19 infection.
5000
Count
26 October 2021