Exploring genetic susceptibility to obesity through genome functional pathway analysis.

ABSTRACT:

Objective

Obesity has been reaching epidemic levels in recent decades, with a growing body of research identifying predisposing genetic components. To explore the relationship of genetic factors contributing to obesity, an analytical computer-based gene-profiling approach utilizing an updated list of clinically relevant and known obesity-related genes was undertaken.

Methods

An updated list of 494 genes reportedly associated with obesity was compiled, and the GeneAnalytics profiling software was utilized to interrogate genomic databases from GeneCards® to cross-reference obesity gene sets against tissues and cells, diseases, genetic pathways, gene ontology (GO)-biological processes and GO-molecular functions, phenotypes, and compounds.

Results

Obesity-related fields i

SUBMITTER: Gabrielli AP 

PROVIDER: S-EPMC5444946 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature