Key genetic differences found in people with ME/CFS
DecodeME has found that your genes contribute to your chances of developing ME/CFS. We’ve identified eight genetic signals where people with ME/CFS differ from those without, linked to the immune and nervous systems. These landmark findings reflect the lived experience of thousands of people with ME/CFS, providing validation and exciting new avenues for research.
Thank you to all our participants and supporters who made this possible!
Watch our video message
Read our science blog: X marks the spot where ME/CFS biology can be discovered
Read the preprint scientific paper
The world's largest ME/CFS study
DecodeME aims to find genetic causes of why people become ill with Myalgic Encephalomyelitis (ME) / Chronic Fatigue Syndrome (CFS). The study should help us understand the disease and ultimately find treatments.
Data access for researchers
To accelerate research towards possible diagnostic tests and treatments for ME/CFS, DecodeME has built the world’s largest data set on ME/CFS as a managed access resource for future research projects.
We are now inviting applications from researchers who are interested in accessing the DecodeME data, samples or cohort.
Researchers can also request for participants to be re-contacted if further data or samples are required for their research studies.
Watch our webinars to find out more
The research
The study is being led by Professor Chris Ponting of the Medical Research Council Human Genetics Unit at the University of Edinburgh.
People with myalgic encephalomyelitis / Chronic Fatigue Syndrome (ME/CFS) are at the heart of the study, with a patient and a carer as co-investigators alongside the scientists and a steering group of people with the illness, carers and charities.
The research is funded by the Medical Research Council and the National Institute for Health Research. To find out more, read our latest updates, FAQs and explanation of the science.
For more information on the study and taking part, view our Study Documents
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