E-GEOD-16059 - Gene Expression in Peripheral Blood Leucocytes in Monozygotic Twins Discordant for Chronic Fatigue

Status
Released on 12 May 2009, last updated on 27 March 2012
Organism
Homo sapiens
Samples (88)
Array (1)
Protocols (6)
Description
Background. Chronic fatiguing illness remains a poorly understood syndrome of unknown pathogenesis. We attempted to identify biomarkers for chronic fatiguing illness using microarrays to query the transcriptome in peripheral blood leukocytes. Methods. Cases were 44 individuals who were clinically evaluated and found to meet standard international criteria for chronic fatigue syndrome or idiopathic chronic fatigue, and controls were their monozygotic co-twins who were clinically evaluated and never had even one month of impairing fatigue. Biological sampling conditions were standardized and RNA stabilizing media were used. These methodological features provide rigorous control for bias resulting from case-control mismatched ancestry and experimental error. Individual gene expression profiles were assessed using Affymetrix Human Genome U133 Plus 2.0 arrays. Findings. There were no significant differences in gene expression for any transcript. Conclusions. Contrary to our expectations, we were unable to identify a biomarker for chronic fatiguing illness in the transcriptome of peripheral blood leukocytes suggesting that positive findings in prior studies may have resulted from experimental bias. Cases were 44 individuals who were clinically evaluated and found to meet standard international criteria for chronic fatigue syndrome or idiopathic chronic fatigue, and controls were their monozygotic co-twins who were clinically evaluated and never had even one month of impairing fatigue.
Experiment type
transcription profiling by array 
Contacts
Andrea Byrnes, Andreas Jacks, Birgitta Evengard, Fred A Wright, Karin Dahlman-Wright, Nancy L Pedersen, Patrick F Sullivan
Citation
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-16059.idf.txt
Sample and data relationshipE-GEOD-16059.sdrf.txt
Raw data (3)E-GEOD-16059.raw.1.zip, E-GEOD-16059.raw.2.zip, E-GEOD-16059.raw.3.zip
Processed data (1)E-GEOD-16059.processed.1.zip
Array designA-AFFY-44.adf.txt
R ExpressionSetE-GEOD-16059.eSet.r
Links