Microarray technology: A review of new strategies to discover candidate vulnerability genes in psychiatric disorders

Academic Article


  • Objective: An international effort is in progress to discover candidate genes and pathways associated with psychiatric disorders, including two of the most serious diseases, schizophrenia and mood disorders, through the use of new technology - microarrays. Instead of studying one gene at a time, microarrays provide the opportunity to analyze thousands of genes at once. Method: This article reviews the steps in this discovery process, including the acquisition and characterization of high-quality postmortem brain tissue, RNA extraction, and preparation and use of microarray technology. Two alternative microarray methods and factors affecting the quality of array data are reviewed. Results: New analytical strategies are being developed to process the massive data sets generated by microarray studies and to define the significance of implicated genes. Array results must be validated by other methods, including in situ hybridization and real-time polymerase chain reaction. Identified genes can also be evaluated in terms of their chromosomal locations and possible overlap with regions of suggestive linkage or association identified with genome-wide linkage analysis in psychiatry and in terms of overlap with genes identified by microarray studies in animals administered psychoactive drugs. Microarray studies are only the first major step in the process. Further efforts in the investigation involve multiple strategies for studying function and gene structure, including transgenic and knockout animal studies. Conclusions: Microarrays present a methodology that can identify genes or pathways for new and unique potential drug targets, determine premorbid diagnosis, predict drug responsiveness for individual patients, and, eventually, initiate gene therapy and prevention strategies.
  • Published In

    Digital Object Identifier (doi)

    Author List

  • Bunney WE; Bunney BG; Vawter MP; Tomita H; Li J; Evans SJ; Choudary PV; Myers RM; Jones EG; Watson SJ
  • Start Page

  • 657
  • End Page

  • 666
  • Volume

  • 160
  • Issue

  • 4