Putative psychosis genes in the prefrontal cortex: Combined analysis of gene expression microarrays

Kwang Ho Choi, Michael Elashoff, Brandon W. Higgs, Jonathan Song, Sanghyeon Kim, Sarven Sabunciyan, Suad Diglisic, Robert H. Yolken, Michael B. Knable, E. Fuller Fuller, Maree J. Webster

Research output: Contribution to journalArticlepeer-review

42 Scopus citations


Background: Recent studies have shown similarities between schizophrenia and bipolar disorder in phenotypes and in genotypes, and those studies have contributed to an ongoing re-evaluation of the traditional dichotomy between schizophrenia and bipolar disorder. Bipolar disorder with psychotic features may be closely related to schizophrenia and therefore, psychosis may be an alternative phenotype compared to the traditional diagnosis categories. Methods: We performed a cross-study analysis of 7 gene expression microarrays that include both psychosis and non-psychosis subjects. These studies include over 400 microarray samples (163 individual subjects) on 3 different Affymetrix microarray platforms. Results: We found that 110 transcripts are differentially regulated (p < 0.001) in psychosis after adjusting for confounding variables with a multiple regression model. Using a quantitative PCR, we validated a set of genes such as up-regulated metallothioneins (MT1E, MT1F, MT1H, MT1K, MT1X, MT2A and MT3) and down-regulated neuropeptides (SST, TAC1 and NPY) in the dorsolateral prefrontal cortex of psychosis patients. Conclusion: This study demonstrates the advantages of cross-study analysis in detecting consensus changes in gene expression across multiple microarray studies. Differential gene expression between individuals with and without psychosis suggests that psychosis may be a useful phenotypic variable to complement the traditional diagnosis categories.

Original languageEnglish (US)
Article number87
JournalBMC psychiatry
StatePublished - Nov 7 2008

ASJC Scopus subject areas

  • Psychiatry and Mental health


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