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Title: A transcriptional signature of fatigue derived from patients with primary Sjögren's Syndrome      
dateReleased:
12-31-2015
description:
Fatigue is a debilitating condition with a significant impact on patients’ quality of life. Fatigue is frequently reported by patients suffering from primary Sjo ̈gren’s 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 ̈ogren’s 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 Sjögren’s syndrome registry
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-66795
refinement:
raw
alternateIdentifiers:
66795
keywords:
functional genomics
dateModified:
01-02-2016
availability:
available
types:
gene expression
name:
Homo sapiens
ID:
A-GEOD-10558
name:
Illumina HumanHT-12 V4.0 expression beadchip
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-66795/E-GEOD-66795.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-66795/E-GEOD-66795.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE66795
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress

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