This project will develop a software tool to rapidly look for metabolism anomalies in an individual which might be explained by their genes. It will also look for potentially damaging genes in individuals and it will attempt to group ME/CFS patients based on their genetic and metabolic profiles.
Christopher Armstrong, PhD
Neil McGregor, PhD
The analytical tool will be developed using pre-existing UK Biobank gene and metabolism data from over 1000 self- reported ME/CFS patients. Findings from this data will then be validated on gene and metabolism data we produce ourselves from blood received from 300 ME/CFS patients recruited by the Australian ME/CFS Biobank.
This tool will be important in understanding the complexity of the individual with ME/CFS and may provide clues to potential missed diagnoses.