Abstract

Family, twin and epidemiologic studies all point to an important genetic contribution to the risk to develop mood and anxiety disorders. While some progress has been made in identifying relevant pathomechanisms for these disorders, candidate based strategies have often yielded controversial findings. Hopes were thus high when genome-wide genetic association studies became available and affordable and allowed a hypothesis-free approach to study genetic risk factors for these disorders. In an unprecendented scientific collaborative effort, large international consortia formed to allow the analysis of these genome-wide association datasets across thousands of cases and controls ([1] and see also http://www.broadinstitute.org/mpg/ricopili/). Now that large meta-analyses of genome-wide association studies (GWAS) have been published for bipolar disorder and major depression it has become clear that main effects of common variants are difficult to identify in these disorders, suggesting that additional approaches maybe needed to understand the genetic basis of these disorders [2,3].

Highlights

  • Twin and epidemiologic studies all point to an important genetic contribution to the risk to develop mood and anxiety disorders

  • Specific symptom categories are shared across mood and anxiety disorders and the use of observational dimensional behavioural phenotypes that cut across diagnostic categories such as psychotic or anxiety symptoms may allow to identify new risk genes for psychiatric disorders [5]

  • Functional annotation of associated variants The published genome-wide association studies (GWAS) in mood disorders all highlight that a high number of common variants with small odd ratios likely cumulatively contribute to the risk to suffer from these disorders [8]

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Summary

Introduction

Twin and epidemiologic studies all point to an important genetic contribution to the risk to develop mood and anxiety disorders. Several factors need to be considered when evaluating the results of genetic association studies in mood and anxiety disorders.

Results
Conclusion
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