Identification of dysfunctional modules and disease genes in congenital heart disease by a network-based approach.

ABSTRACT:

Background

The incidence of congenital heart disease (CHD) is continuously increasing among infants born alive nowadays, making it one of the leading causes of infant morbidity worldwide. Various studies suggest that both genetic and environmental factors lead to CHD, and therefore identifying its candidate genes and disease-markers has been one of the central topics in CHD research. By using the high-throughput genomic data of CHD which are available recently, network-based methods provide powerful alternatives of systematic analysis of complex diseases and identification of dysfunctional modules and candidate disease genes.

Results

In this paper, by modeling the information flow from source disease genes to targets of differentially expressed genes via a context-specific p

SUBMITTER: He D 

PROVIDER: S-EPMC3256240 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature