Predicting the multi-omic impact of psychiatric GWAS associations- DATA ANALYSIS ONLY

Genome-wide association studies (GWAS) have been instrumental in understanding the genetic underpinnings of complex traits such as psychiatric disorders. In this project, we will develop and apply algorithms to translate these findings into more biologically interpretable measures; our methods will allow quick and easy prediction of multi-omic data from GWAS, bypassing the need for tissue or sample collection, and allowing psychiatric multi-omics to be studied for the first time at the necessary scale. Our results will highlight putatively causal biological mechanisms for a range of psychiatric disease including schizophrenia, bipolar disorder, and anorexia nervosa.