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ABSTRACT: Rationale
The airway transcriptome includes genes that contribute to the pathophysiologic heterogeneity seen in individuals with asthma.Objectives
We analyzed sputum gene expression for transcriptomic endotypes of asthma (TEA), gene signatures that discriminate phenotypes of disease.Methods
Gene expression in the sputum and blood of patients with asthma was measured using Affymetrix microarrays. Unsupervised clustering analysis based on pathways from the Kyoto Encyclopedia of Genes and Genomes was used to identify TEA clusters. Logistic regression analysis of matched blood samples defined an expression profile in the circulation to determine the TEA cluster assignment in a cohort of children with asthma to replicate clinical phenotypes.Measurements and main resu
SUBMITTER: Yan X
PROVIDER: S-EPMC4451618 | biostudies-literature | 2015 May
REPOSITORIES: biostudies-literature