Prioritization and evaluation of depression candidate genes by combining multidimensional data resources.

ABSTRACT:

Background

Large scale and individual genetic studies have suggested numerous susceptible genes for depression in the past decade without conclusive results. There is a strong need to review and integrate multi-dimensional data for follow up validation. The present study aimed to apply prioritization procedures to build-up an evidence-based candidate genes dataset for depression.

Methods

Depression candidate genes were collected in human and animal studies across various data resources. Each gene was scored according to its magnitude of evidence related to depression and was multiplied by a source-specific weight to form a combined score measure. All genes were evaluated through a prioritization system to obtain an optimal weight matrix to rank their relative importance with

SUBMITTER: Kao CF 

PROVIDER: S-EPMC3071871 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature