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Decode-ME

Population Size

25,000

People

Years

2021

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

Lead time

Not applicable

Summary

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a chronic disease affecting an estimated 250,000 people in the UK. DecodeME is the world’s largest ME/CFS genetic study. It has Patient and Public Involvement at its heart.

Documentation

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.
Dataset type
Health and disease
Dataset sub-type
Not applicable
Dataset population size
25000

Keywords

Alleviate, Pain, Pain Hub, Fatigue

Observations

Observed Node
Disambiguating Description
Measured Value
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 Oct 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 Oct 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 Oct 2021

Provenance

Purpose of dataset collection
Study
Image contrast
Not stated
Biological sample availability
None/not available

Details

Publishing frequency
Static
Version
1.0.0
Modified

08/10/2024

Citation Requirements
University of Edinburgh

Coverage

Start date

26/10/2021

Time lag
Not applicable
Geographic coverage
United Kingdom
Maximum age range
150

Accessibility

Language
en
Controlled vocabulary
OTHER
Format
questionnaire

Data Access Request

Dataset pipeline status
Not available
Time to dataset access
Not applicable
Access method category
Varies based on project
Jurisdiction
GB
Data Controller
University of Edinburgh

Dataset Types: Health and disease


Collection Sources: