Genomic convergence and network analysis approach to identify candidate genes in Alzheimer's disease.

ABSTRACT:

Background

Alzheimer's disease (AD) is one of the leading genetically complex and heterogeneous disorder that is influenced by both genetic and environmental factors. The underlying risk factors remain largely unclear for this heterogeneous disorder. In recent years, high throughput methodologies, such as genome-wide linkage analysis (GWL), genome-wide association (GWA) studies, and genome-wide expression profiling (GWE), have led to the identification of several candidate genes associated with AD. However, due to lack of consistency within their findings, an integrative approach is warranted. Here, we have designed a rank based gene prioritization approach involving convergent analysis of multi-dimensional data and protein-protein interaction (PPI) network modelling.

Results

SUBMITTER: Talwar P 

PROVIDER: S-EPMC4028079 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature