Xinglun Dang

Abstract Integrative studies such as transcriptome-wide association studies (TWAS) and Mendelian randomization (MR) have identified multiple risk genes whose expression level is associated with schizophrenia (SCZ). However, the vast majority of integrative studies are based on quantitative trait loci (QTL) data from bulk brain tissues.

Abstract Genome-wide association studies (GWAS) have identified over 300 risk loci for schizophrenia (SCZ). However, given the vast majority of risk variants identified from GWAS are localized in non-coding regions, identification of functional risk variants from the risk loci and elucidating their molecular regulatory mechanisms remain major challenges. Here, we leverage a functional genomics approach to systematically identify functional variants from the reported risk loci.

doi: https://doi.org/10.1101/2023.02.24.23286411 Abstract Deciphering the genetic architecture of depression is pivotal for characterizing the associated pathophysiological processes and development of new therapeutics. Here we conducted a cross-ancestry genome-wide meta-analysis on depression (416,437 cases and 1,308,758 controls) and identified 287 risk loci, of which 140 are new.