Unknown

Dataset Information

Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population.


ABSTRACT:

Background

Aspirin Exacerbated Respiratory Disease (AERD) is a chronic medical condition that encompasses asthma, nasal polyposis, and hypersensitivity to aspirin and other non-steroidal anti-inflammatory drugs. Several previous studies have shown that part of the genetic effects of the disease may be induced by the interaction of multiple genetic variants. However, heavy computational cost as well as the complexity of the underlying biological mechanism has prevented a thorough investigation of epistatic interactions and thus most previous studies have typically considered only a small number of genetic variants at a time.

Methods

In this study, we propose a gene network based analysis framework to identify genetic risk factors from a genome-wide association study dataset.

SUBMITTER: Wang S 

PROVIDER: S-EPMC5461529 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature