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By linking genome-wide association study results in humans and animal models, we have used a translational convergent functional genomics strategy to identify and prioritize genes involved in schizophrenia by using a gene-level integration of genome-wide association study results with other genetic and gene expression studies. In addition, we demonstrate how the top candidate genes identified by CFG can be used to create a genetic risk prediction score to aid schizophrenia diagnosis, with predictive capability in independent cohorts. The GRPS also distinguishes the classic age of onset schizophrenia from both early and late-onset disorders. We also compared our top candidate genes for schizophrenia from this study with top candidate genes for bipolar disorder and anxiety disorders from previous CFG studies, as well as findings from autism and Alzheimer research.
Source link: https://doi.org/10.1038/mp.2012.37
Anxiety disorders are common and disabling, but from a genetic perspective, compared to other common psychiatric disorders such as bipolar disorder and schizophrenia, are common and disabling, but yet understudied. For the identification of anxiety candidate genes as well as potential blood biomarkers, we've used a pharmacogenomic mouse model as a discovery engine. Our programmatic first pass mapping of the triad of key psychiatric disorder domains using CFG has concluded, allowing us to determine the significant genetic linkage between anxiety and these other key psychiatric disorders, particularly the under-appreciated similarity with schizophrenia. Our studies have discovered a molecular basis for the common clinical co-morbidity and interdependence between anxiety and other common psychiatric disorders, as well as other key neurological disorders, and suggest schizo-anxiety as a potential new nosological field.
Source link: https://doi.org/10.1038/tp.2011.9
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