Sarah R Gilman, et al., Diverse types of genetic variation converge on functional gene networks involved in schizophrenia, Nature Neuroscience 2012
We developed a computational approach (NETBAG+) that allows an integrated analysis of diverse disease-related genetic data using a unified statistical framework. The application of this approach to schizophrenia-associated genetic variations, obtained using unbiased whole-genome methods, allowed us to identify several cohesive gene networks related to axon guidance, neuronal cell mobility, synaptic function and chromosomal remodeling. The genes forming the networks are highly expressed in the brain, with higher brain expression during prenatal development. The identified networks are functionally related to genes previously implicated in schizophrenia, autism and intellectual disability. A comparative analysis of copy number disorders may be related, the mutations associated with each disease are likely to lead, at least on average, to different functional consequences.