4.3 Review

Finding the needle in the haystack: A review of microarray gene expression research into schizophrenia

Journal

AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY
Volume 46, Issue 7, Pages 598-610

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/0004867412442405

Keywords

Animal models; blast cells; hippocampus; lymphocytes; molecular genetics; post mortem brain tissue; prefrontal cortex; RNA; temporal cortex; transcript

Categories

Funding

  1. World Health Organization
  2. Schizophrenia Research Institute
  3. University of Newcastle

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Background: With an estimated 80% heritability, molecular genetic research into schizophrenia has remained inconclusive. Recent large-scale, genome-wide association studies only identified a small number of susceptibility genes with individually very small effect sizes. However, the variable expression of the phenotype is not well captured in diagnosis-based research as well as when assuming a 'heterogenic risk model' (as apposed to a monogenic or polygenic model). Hence, the expression of susceptibility genes in response to environmental factors in concert with other disease-promoting or protecting genes has increasingly attracted attention. Method: The current review summarises findings of microarray gene expression research with relevance to schizophrenia as they emerged over the past decade. Results: Most findings from post mortem, peripheral tissues and animal models to date have linked altered gene expression in schizophrenia to presynaptic function, signalling, myelination, neural migration, cellular immune mechanisms, and response to oxidative stress consistent with multiple small effects of many individual genes. However, the majority of results are difficult to interpret due to small sample sizes (i.e. potential type-2 errors), confounding factors (i.e. medication effects) or lack of plausible neurobiological theory. Conclusion: Nevertheless, microarray gene expression research is likely to play an important role in the future when investigating gene/gene and gene/environment interactions by adopting a neurobiologically sound theoretical framework.

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