Full title: Meta analysis of Chronic Fatigue Syndrome through integration of clinical, gene expression, SNP and proteomic data.
Authors: Pihur V, Datta S, Datta S.
Publication: Bioinformation. 6(3):120-4.
Publication date: 2011 Apr 22
We start by constructing gene-gene association networks based on about 300 genes whose expression values vary between the groups of CFS patients (plus control). Connected components (modules) from these networks are further inspected for their predictive ability for symptom severity, genotypes of two single nucleotide polymorphisms (SNP) known to be associated with symptom severity, and intensity of the ten most discriminative protein features. We use two different network construction methods and choose the common genes identified in both for added validation. Our analysis identified eleven genes which may play important roles in certain aspects of CFS or related symptoms. In particular, the gene WASF3 (aka WAVE3) possibly regulates brain cytokines involved in the mechanism of fatigue through the p38 MAPK regulatory pathway.
PMID: 21584188 [PubMed - in process]
View this abstract in PubMed.