Rare Genetic Syndromes as a Window into the Genetic Architecture of Mental Disorders (C... - 0 views
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MiamiOH OARS on 08 Jun 18This initiative will foster collaborative and coordinated efforts to characterize the underlying genetic architecture of diverse neuropsychiatric phenotypes within and across rare genetic disorders and identify the shared genetic risk across rare and idiopathic neuropsychiatric disorders. Projects from multi-disciplinary teams will utilize genome-wide data to comprehensively assess the contribution of genetic variation to the variable expressivity and incomplete penetrance of neuropsychiatric phenotypes across rare genetic disorders. Projects are encouraged to leverage existing resources, cohorts, and collaborative networks with established infrastructure for consistent and high-quality phenotypic data collection and genomic data generation. Projects should seek to enhance the quality of the phenotypic data available for rare genetic disorders by developing or applying phenotyping methodologies that create a pipeline for standardizing assessments and that cut across rare genetic disorders and across developmental time points. Under this initiative, investigators will form a network to facilitate data sharing and harmonization of clinical and genetic data across different studies within the network, as well as accelerate characterization of genotype to phenotype relationships across rare genetic disorders. This network will also generate a resource of bio-samples, as well as phenotypic and genetic data for broader dissemination to the scientific community. This FOA should be used for applications that are not collaborative between sites. Applications requiring two or more collaborating sites to complete the proposed research should apply as a linked set of collaborative U01 applications to the companion collaborative U01 FOA (RFA-MH-19-201). All awards supported under this FOA and the companion collaborative U01 FOA (RFA -MH-19-201) will be governed by the Mental Health Rare Genetic Disease Network (MHRGDN).