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Assessment of a 44 gene classifier for the evaluation of chronic fatigue syndrome from peripheral blood mononuclear cell gene expression.

Title: Assessment of a 44 gene classifier for the evaluation of chronic fatigue syndrome from peripheral blood mononuclear cell gene expression.
Authors: Frampton, D
Kerr, J
Harrison, TJ
Kellam, P
Item Type: Journal Article
Abstract: Chronic fatigue syndrome (CFS) is a clinically defined illness estimated to affect millions of people worldwide causing significant morbidity and an annual cost of billions of dollars. Currently there are no laboratory-based diagnostic methods for CFS. However, differences in gene expression profiles between CFS patients and healthy persons have been reported in the literature. Using mRNA relative quantities for 44 previously identified reporter genes taken from a large dataset comprising both CFS patients and healthy volunteers, we derived a gene profile scoring metric to accurately classify CFS and healthy samples. This metric out-performed any of the reporter genes used individually as a classifier of CFS.To determine whether the reporter genes were robust across populations, we applied this metric to classify a separate blind dataset of mRNA relative quantities from a new population of CFS patients and healthy persons with limited success. Although the metric was able to successfully classify roughly two-thirds of both CFS and healthy samples correctly, the level of misclassification was high. We conclude many of the previously identified reporter genes are study-specific and thus cannot be used as a broad CFS diagnostic.
Issue Date: 30-Mar-2011
Date of Acceptance: 7-Jan-2011
URI: http://hdl.handle.net/10044/1/61381
DOI: https://dx.doi.org/10.1371/journal.pone.0016872
ISSN: 1932-6203
Publisher: Public Library of Science
Journal / Book Title: PLoS One
Volume: 6
Issue: 3
Copyright Statement: © 2011 Frampton et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Area Under Curve
Cluster Analysis
Databases, Genetic
Fatigue Syndrome, Chronic
Gene Expression Profiling
Gene Expression Regulation
Genes, Reporter
Genetic Linkage
Humans
Leukocytes, Mononuclear
ROC Curve
MD Multidisciplinary
General Science & Technology
Publication Status: Published online
Conference Place: United States
Article Number: e16872
Appears in Collections:Department of Medicine
Faculty of Medicine



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