Unknown

Dataset Information

Network study of nasal transcriptome profiles reveals master regulator genes of asthma.


ABSTRACT:

Background

Nasal transcriptomics can provide an accessible window into asthma pathobiology.

Objective

Our goal was to move beyond gene signatures of asthma to identify master regulator genes that causally regulate genes associated with asthma phenotypes.

Methods

We recruited 156 children with severe persistent asthma and controls for nasal transcriptome profiling and applied network-based and probabilistic causal methods to identify severe asthma genes and their master regulators. We then took the same approach in an independent cohort of 190 adults with mild/moderate asthma and controls to identify mild/moderate asthma genes and their master regulators. Comparative analysis of the master regulator genes followed by validation testing in independent children with seve

SUBMITTER: Do AN 

PROVIDER: S-EPMC7892642 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature