Mental diseases are complicated and severe mental disease. Such as schizophrenia, which exact molecular and genetic mechanisms remain largely unclear. At present, the diagnosis of schizophrenia is mainly dependent on the clinical symptoms of patients. Based on UK biobank data, we want to develop a diagnosis method based on genotype data, clinical data and imaging data. We will analyze the data which is the combination of genetic risk scores of genotype data and the clinical data, and try to establish a schizophrenia diagnostic model.
The second aim of this study is to explore the biological mechanism of schizophrenia utilizing multiple omic data (such as DNA, RNA and protein data). Several methods will used to select the candidate genes for schizophrenia. Then the candidate genes will validate in cells and animal models.
The third aim of this study is that we also want to identify genetic associations between psychiatric disorders and substance misuse (such as illicit drug misuse) via UK biobank data. We will use several analyses software to infer genetic overlap and estimate genetic correlations between different phenotypes and outcomes, using our local computing facilities.
The whole project duration is about 36 months.
