Multiple outcome meta-analysis of gene-expression data in inflammatory bowel disease

Konstantina E Vennou, Daniele Piovani, Panagiota I Kontou, Stefanos Bonovas, Pantelis G Bagos

Research output: Contribution to journalArticlepeer-review

Abstract

We performed a multivariate meta-analysis of microarray data in Crohn's disease (CD) and Ulcerative colitis (UC), which are the main forms of inflammatory bowel disease (IBD). They share similar symptoms but differ in the location and extent of inflammation and in complications. We identified 249 differentially expressed genes (DEGs) in CD and 38 in UC at a false discovery rate of 1%. 20 of the DEGs were common to both diseases. A multivariate test identified 260 DEGs associated with IBD, 53 of which were not found in any of the disorders. We identified important molecular pathways implicated in the pathogenesis of IBD, such as the JAK/STAT and interferon-gamma signaling pathways, genes involved in cell adhesion, apoptosis and carcinogenesis. Among others, BCAT1 and GZMB are interesting novel DEGs that deserve further investigation in experimental models. The method could also be useful to other cases of meta-analysis of gene expression data.

Original languageEnglish
Pages (from-to)1761-1767
Number of pages7
JournalGenomics
Volume112
Issue number2
DOIs
Publication statusPublished - Mar 2020

Keywords

  • Colitis, Ulcerative/genetics
  • Crohn Disease/genetics
  • Granzymes/genetics
  • Humans
  • Interferon-gamma/genetics
  • Janus Kinases/genetics
  • STAT Transcription Factors/genetics
  • Signal Transduction
  • Transaminases/genetics
  • Transcriptome

Fingerprint Dive into the research topics of 'Multiple outcome meta-analysis of gene-expression data in inflammatory bowel disease'. Together they form a unique fingerprint.

Cite this