About
A large proportion of the world's disease burden is attributable to brain disorders, including neurological disorders (Alzheimer's disease, Parkinson's disease, epilepsy, stroke, et al) and psychiatric disorders (depression, anxiety, bipolar disorder, schizophrenia, et al). Both genetic and environmental factors have been found to contribute to the development of brain disorders, while few risk factors have been robustly validated in epidemiological studies. Moreover, the underlying mechanisms of brain disorders remain largely unknown, which hampers the development of precision treatment. Therefore, it is urgent to understand the complexity of many aspects of these diseases.
With the thorough and tremendous demographics, environmental, lifestyle, clinical, genetic, biomarker and imaging data from the whole cohort of UK biobank, the current study seeks to explore potential risk factors and genetic causes for brain disorders, which could guide disease prevention and therapy development. More precisely, we hope to (1) identify demographics, clinical, environmental, and lifestyle risk factors and their interplay for brain disorders; (2) characterize the genetic variations associated with a specific disorder, and identify key molecules involved in the pathogenesis of brain disorders; (3) based on traditional and newly discovered risk factors to construct prediction models with multiple machine learning algorithms to predict disease outcomes.
Within three years after obtaining the whole cohort data, we will devote ourselves to improving precision medicine for brain disorders. We hope that our findings could help in disease prevention, facilitate early diagnosis, delay disease progression, guide precision treatment and improve patients' and their families' quality of life, which will reduce disease burden for both families and society.