This article was published online on 31 May 2013. Subsequently, it was determined that the final version had not been published, and this was corrected on 19 June 2013.
Convergent functional genomics of psychiatric disorders
Article first published online: 31 MAY 2013
© 2013 Wiley Periodicals, Inc.
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
Special Issue: Identifying the Origins of Mental Illness: A Festschrift in Honor of Ming T. Tsuang
Volume 162, Issue 7, pages 587–594, October 2013
How to Cite
2013. Convergent Functional Genomics of Psychiatric Disorders. 162B:587–594..
- Issue published online: 17 OCT 2013
- Article first published online: 31 MAY 2013
- Manuscript Accepted: 19 MAR 2013
- Manuscript Received: 6 MAR 2013
- NIH Directors' New Innovator Award. Grant Number: 1DP2OD007363
- VA Merit Award. Grant Number: 1I01CX000139-01
- convergent functional genomics;
- animal models;
- gene expression
Genetic and gene expression studies, in humans and animal models of psychiatric and other medical disorders, are becoming increasingly integrated. Particularly for genomics, the convergence and integration of data across species, experimental modalities and technical platforms is providing a fit-to-disease way of extracting reproducible and biologically important signal, in contrast to the fit-to-cohort effect and limited reproducibility of human genetic analyses alone. With the advent of whole-genome sequencing and the realization that a major portion of the non-coding genome may contain regulatory variants, Convergent Functional Genomics (CFG) approaches are going to be essential to identify disease-relevant signal from the tremendous polymorphic variation present in the general population. Such work in psychiatry can provide an example of how to address other genetically complex disorders, and in turn will benefit by incorporating concepts from other areas, such as cancer, cardiovascular diseases, and diabetes. © 2013 Wiley Periodicals, Inc.