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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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A transcriptional signature of fatigue derived from patients with primary SjÃ¶gren's Syndrome

ABSTRACT: Fatigue is a debilitating condition with a significant impact on patientsâ quality of life. Fatigue is frequently reported by patients suffering from primary Sjo Ìgrenâs Syndrome (pSS), a chronic autoimmune condition characterised by dryness of the eyes and the mouth. However, although fatigue is common in pSS, it does not manifest in all sufferers, providing an excellent model with which to explore the potential underpinning biological mechanisms. Whole blood samples from 131 fully-phenotyped pSS patients, stratified for the presence of fatigue, collected by the UK primary Sj Ìogrenâs Syndrome Registry were used for whole genome microarray. The resulting data were analysed both on a gene by gene basis and using pre-defined groups of genes. Finally, gene set enrichment analysis (GSEA) was used as a feature selection technique for input into a support vector machine (SVM) classifier. Classification was assessed using area under curve (AUC) of receiver operator characteristic and standard error of Wilcoxon statistic, SE(W). Contributor: The UK Primary SjÃ¶grenâs syndrome registry

ORGANISM(S): Homo sapiens

SUBMITTER: Simon Cockell

PROVIDER: E-GEOD-66795 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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