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Dataset Information

Prioritization and association analysis of murine-derived candidate genes in anxiety-spectrum disorders.


ABSTRACT:

Background

Anxiety disorders are common psychiatric conditions that are highly comorbid with each other and related phenotypes such as depression, likely due to a shared genetic basis. Fear-related behaviors in mice have long been investigated as potential models of anxiety disorders, making integration of information from both murine and human genetic data a powerful strategy for identifying potential susceptibility genes for these conditions.

Methods

We combined genome-wide association analysis of fear-related behaviors with strain distribution pattern analysis in heterogeneous stock mice to identify a preliminary list of 52 novel candidate genes. We ranked these according to three complementary sources of prior anxiety-related genetic data: 1) extant linkage and knockout

SUBMITTER: Hettema JM 

PROVIDER: S-EPMC3191234 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature