An Integrative Transcriptomic and Metabolomic Study of Lung Function in Children With Asthma.

ABSTRACT:

Background

Single omic analyses have provided some insight into the basis of lung function in children with asthma, but the underlying biologic pathways are still poorly understood.

Methods

Weighted gene coexpression network analysis (WGCNA) was used to identify modules of coregulated gene transcripts and metabolites in blood among 325 children with asthma from the Genetic Epidemiology of Asthma in Costa Rica study. The biology of modules associated with lung function as measured by FEV₁, the FEV₁/FVC ratio, bronchodilator response, and airway responsiveness to methacholine was explored. Significantly correlated gene-metabolite module pairs were then identified, and their constituent features were analyzed for biologic pathway enrichments.

Results

SUBMITTER: Kelly RS 

PROVIDER: S-EPMC6689076 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature