Towards understanding the schizophrenia code: an expanded convergent functional genomics approach

New paradigms for treatment development

Wayne Fenton believed that government-particularly National Institute of Mental Health (NIMH)-could play a critical role in addressing important public health problems where the current system of treatment development was inadequate. Earlier experiences in HIV/AIDS convinced him and others that the NIMH can effectively facilitate the rapid development of new research in critical areas. This report will demonstrate how the work of Fenton and others brought together representatives from industry, government, and academia to address issues that included new preclinical approaches to drug development and defining new therapeutic targets in schizophrenia. An initiative to facilitate the development of new pharmacological agents to address the cognitive impairments in schizophrenia-titled Measurement and Treatment Research to Improve Cognition in Schizophreniaor MATRICS-is used as an example of a new paradigm for treatment development.

Convergent Functional Genomics of bipolar disorder: from animal model pharmacogenomics to human genetics and biomarkers

Progress in understanding the genetic and neurobiological basis of bipolar disorder(s) has come from both human studies and animal model studies. Until recently, the lack of concerted integration between the two approaches has been hindering the pace of discovery, or more exactly, constituted a missed opportunity to accelerate our understanding of this complex and heterogeneous group of disorders. Our group has helped overcome this "lost in translation" barrier by developing an approach called convergent functional genomics (CFG). The approach integrates animal model gene expression data with human genetic linkage/association data, as well as human tissue (postmortem brain, blood) data. This Bayesian strategy for cross-validating findings extracts meaning from large datasets, and prioritizes candidate genes, pathways and mechanisms for subsequent targeted, hypothesis-driven research. The CFG approach may also be particularly useful for identification of blood biomarkers of the illness.