New meta-analysis tools reveal common transcriptional regulatory basis for multiple determinants of behavior.

ABSTRACT: A fundamental problem in meta-analysis is how to systematically combine information from multiple statistical tests to rigorously evaluate a single overarching hypothesis. This problem occurs in systems biology when attempting to map genomic attributes to complex phenotypes such as behavior. Behavior and other complex phenotypes are influenced by intrinsic and environmental determinants that act on the transcriptome, but little is known about how these determinants interact at the molecular level. We developed an informatic technique that identifies statistically significant meta-associations between gene expression patterns and transcription factor combinations. Deploying this technique for brain transcriptome profiles from ca. 400 individual bees, we show that diverse determinants of beh

SUBMITTER: Ament SA 

PROVIDER: S-EPMC3387076 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature