Fostel, Jennifer, Boneva, Roumiana, Lloyd, Andrew · Pharmacogenomics · 2006 · DOI
Researchers used blood tests and symptom questionnaires to look for biological markers that could help identify ME/CFS. They found that ME/CFS involves multiple symptom patterns (fatigue and mood changes being most prominent) and identified 57 genes whose activity differed between people with severe symptoms and those with mild symptoms. However, no single gene or blood test on its own clearly identifies the disease.
This study addresses the critical need for objective biomarkers in ME/CFS, a disease often dismissed due to lack of measurable diagnostic tests. By integrating multiple data types (symptoms, genes, and laboratory parameters), it demonstrates that ME/CFS involves complex biological changes that cannot be reduced to single markers, informing future biomarker research strategies.
This study does not establish causation or prove that the identified genes cause ME/CFS symptoms. It does not validate these gene signatures as diagnostic tests or show that changes in any single gene or laboratory parameter definitively indicate disease. The correlation with laboratory parameters does not explain whether these changes drive symptoms or result from the disease process.
About the PEM badge: “PEM required” means post-exertional malaise was an explicit required diagnostic criterion for participant inclusion in this study — not that PEM was studied, observed, or discussed. Studies using criteria that do not require PEM (e.g. Fukuda, Oxford) are tagged “PEM not required”. How the atlas works →
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Primary citation
Fostel, Jennifer, Boneva, Roumiana, & Lloyd, Andrew (2006). Exploration of the gene expression correlates of chronic unexplained fatigue using factor analysis.. Pharmacogenomics. https://doi.org/10.2217/14622416.7.3.441
BibTeX
@article{mecfsatlas-fostel-2006-exploration-gene,
author = {Fostel, Jennifer and Boneva, Roumiana and Lloyd, Andrew},
title = {Exploration of the gene expression correlates of chronic unexplained fatigue using factor analysis.},
journal = {Pharmacogenomics},
year = {2006},
doi = {10.2217/14622416.7.3.441},
note = {PubMed: 16610954},
url = {https://www.mecfsatlas.com/evidence/fostel-2006-exploration-gene},
}Atlas snapshot reference
ME/CFS Atlas. Generator v1 / Scanner v1.4 / policy v0.1. Accessed 2026-05-30. https://www.mecfsatlas.com/evidence/fostel-2006-exploration-gene
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