Differential connectivity of gene regulatory networks distinguishes corticosteroid response in asthma.

ABSTRACT:

Background

Variations in drug response between individuals have prevented us from achieving high drug efficacy in treating many complex diseases, including asthma. Genetics plays an important role in accounting for such interindividual variations in drug response. However, systematic approaches for addressing how genetic factors and their regulators determine variations in drug response in asthma treatment are lacking.

Objective

We sought to identify key transcriptional regulators of corticosteroid response in asthma using a novel systems biology approach.

Methods

We used Passing Attributes between Networks for Data Assimilations (PANDA) to construct the gene regulatory networks associated with good responders and poor responders to inhaled corticosteroids based on a

SUBMITTER: Qiu W 

PROVIDER: S-EPMC5775928 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature