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.
Adetayo
A
Kasim
Ziv
Z
Shkedy
Dan
D
Lin
Suzy
S
Van Sanden
Josè Cortiñas
JC
Abrahantes
Hinrich W H
HW
Göhlmann
Luc
L
Bijnens
Dani
D
Yekutieli
Michael
M
Camilleri
Jeroen
J
Aerssens
Willem
W
Talloen
D000465:Algorithms; D000704:Analysis of Variance; D016022:Case-Control Studies; D016000:Cluster Analysis; D003106:Colon / Q000737:chemistry; D020869:Gene Expression Profiling / Q000379:methods*; D005819:Genetic Markers / Q000235:genetics*; D006801:Humans; D043183:Irritable Bowel Syndrome / Q000235:genetics; D008954:Models, Biological; D012007:Rectum / Q000737:chemistry
D005819:Genetic Markers