In complex traits, genes act together and we must understand “how” if we want to understand the biology of disease:
modelling gene^gene interactions – the Epistasis effect
Imaging Genetics Conference
The First International Imaging Genetics Conference was held January 17 and 18, 2005.
To assess the state of the art in the various established fields of genetics and imaging, and to facilitate the transdisciplinary fusion needed to optimize the development of the emerging field of Imaging Genetics.
Fallon & Kilpatrick, piloted but as a first step need to better quantify and automate ROI based on literature, Knowledge Based Learning as a general tool.
Step 2. Core 3-2 will use step 1 software to test Core 3-2 hypotheses.
Step 3. Core 3-2 in collaboration with Core 2 will extend the canonical variate analysis methods of Step 1 to determine images that distinguish among tasks, clinical symptoms, and cognitive performance.
Step 4. Core 3-2 and Core 1 will collaborate to integrate canonical variate analyses with machine learning approaches for detecting circuitry.
Step 1. Core 3 will type multiple genetic markers at selected genes relevant to schizophrenia and brain structure.
Step 2. Core 2 will extend Toronto “in-house” Phase v2.0 software for measuring two gene-gene interactions to multiple genes and make the software more user friendly to neuroscience and genetic researchers in general.
Step 3. Core 3-2 will determine linkage disequilibrium structure on the genetic data using specific programs such as Haploview, GOLD, and 2LD and construct haplotypes.
Genetic Analysis in Combination with Imaging Data
Specified Operational Plan (cont.)
Step 4. Core 3-2 will complete genetic analyses on the haplotypes developed, identified by the Core 3-2 software in Step 3, and test for gene-gene interaction using refinement of Toronto Phase v2.0 software from Step 2.
Step 5. Core 3-2 will collaborate with Core 1 to develop methods for combining genetic and imaging data using machine learning technologies and Bayesian hierarchical modeling.
Step 6. Iterations of Step 5 will develop predictive models and suggest hypotheses.