Translation of disease associated gene signatures across tissues

It has recently been shown that disease associated gene signatures can be identified by profiling tissue other than the disease related tissue. In this paper, we investigate gene signatures for Irritable Bowel Syndrome (IBS) using gene expression profiling of both disease related tissue (colon) and surrogate tissue (rectum). Gene specific joint ANOVA models were used to investigate differentially expressed genes between the IBS patients and the healthy controls taken into account both intra and inter tissue dependencies among expression levels of the same gene. Classification algorithms in combination with feature selection methods were used to investigate the predictive power of gene expression levels from the surrogate and the target tissues. We conclude based on the analyses that expression profiles of the colon and the rectum tissue could result in better predictive accuracy if the disease associated genes are known.

Publication year:2015

Keywords:gene expression, joint modelling, surrogate markers, surrogate tissue, biomarkers, target tissues, feature selection, classification, class prediction, irritable bowel syndrome, IBS, disease associated gene signatures, ANOVA, colon tissue, rectum tissue, bioinformatics, biomarker, target tissue, features selection, classification and class, prediction and irritable bowel syndrome

BOF-keylabel:yes

IOF-keylabel:yes

BOF-publication weight:0.1

CSS-citation score:1

Authors:International

Authors from:Higher Education

Accessibility:Closed