Ontology highlight
ABSTRACT: Background
We have previously shown that childhood-onset rheumatic diseases show aberrant patterns of gene expression that reflect pathology-associated co-expression networks. In this study, we used novel computational approaches to examine how disease-associated networks are altered in one of the most common rheumatic diseases of childhood, juvenile idiopathic arthritis (JIA).Methods
Using whole blood gene expression profiles derived from children in a pediatric rheumatology clinical trial, we used a network approach to understanding the impact of therapy and the underlying biology of response/non-response to therapy.Results
We demonstrate that therapy for JIA is associated with extensive re-ordering of gene expression networks, even in children who respond inadequ
SUBMITTER: Du N
PROVIDER: S-EPMC4619406 | biostudies-literature | 2015 Oct
REPOSITORIES: biostudies-literature