Ontology highlight
ABSTRACT: Rationale
Although asthma is recognized as a heterogeneous disease associated with clinical phenotypes, the molecular basis of these phenotypes remains poorly understood. Although genomic studies have successfully broadened our understanding in diseases such as cancer, they have not been widely used in asthma studies.Objectives
To link gene expression patterns to clinical asthma phenotypes.Methods
We used a microarray platform to analyze bronchial airway epithelial cell gene expression in relation to the asthma biomarker fractional exhaled nitric oxide (FeNO) in 155 subjects with asthma and healthy control subjects from the Severe Asthma Research Program (SARP).Measurements and main results
We first identified a diverse set of 549 genes whose expression corr
SUBMITTER: Modena BD
PROVIDER: S-EPMC4294630 | biostudies-literature | 2014 Dec
REPOSITORIES: biostudies-literature