Meta-analysis approach identifies candidate genes and associated molecular networks for type-2 diabetes mellitus.

ABSTRACT:

Background

Multiple functional genomics data for complex human diseases have been published and made available by researchers worldwide. The main goal of these studies is the detailed analysis of a particular aspect of the disease. Complementary, meta-analysis approaches try to extract supersets of disease genes and interaction networks by integrating and combining these individual studies using statistical approaches.

Results

Here we report on a meta-analysis approach that integrates data of heterogeneous origin in the domain of type-2 diabetes mellitus (T2DM). Different data sources such as DNA microarrays and, complementing, qualitative data covering several human and mouse tissues are integrated and analyzed with a Bootstrap scoring approach in order to extract disease r

SUBMITTER: Rasche A 

PROVIDER: S-EPMC2515154 | biostudies-literature | 2008 Jun

REPOSITORIES: biostudies-literature