Effects of genomic, metabolomic, environmental and clinical factors on neurological and psychiatric disorders, and construction of predictive models

Incidences and prevalences of neurological and psychiatric disorders (including dementia, Alzheimer disease (AD), depression, cognitive decline, anxiety, epilepsy, and autism, etc.) have largely increased in the last few years and have become a heavy burden on the society worldwide. However, the causes and pathogenic mechanism of these illnesses are still very limited at present. It is believed that the causes of these illnesses are complex and multifactorial, and both genetic and environmental factors may contribute to these illnesses.
In this project, based on the abundant, comprehensive, and complete genomic, metabolomic, environmental and clinical information from UK Biobank database, we aim to 1) systematically investigate the risk factors of neurological and psychiatric disorders; 2) construct poly-genic risk score models for these illnesses; 3) identify the interactions of human genome and environmental factors on these illnesses; 4) predict the risk of these illnesses by using artificial neural network while combining multiple data.
This project is expected to last three years. We believe that our project results will attain a substantially broader knowledge on the causes and pathogenic mechanism of neurological and psychiatric disorders and can also be useful for the early identification and prevention of these illnesses in the population.