Developing an integrated eQTL database for psychiatric disorder analysis

Abstract

eQTL analysis has been popular to find genetic etiology of psychiatric disorders. However, there is no integrated database which harbors linkage between eQTL gene and psychiatric disorders to show possible connections between them. In this research, we analyzed eQTL associations from the Stanley Medical Research Institute (SMRI) brain genomics data and integrated them with psychiatric disorder GWAS associations. As a result, we have calculated 316,319 eQTL associations from four tissues in gene and transcript level and developed an integrated database with gene-disorder network analysis results. With the database, users can get integrated information about enlisted entities with associations between them and get possible integrated insight towards genetic etiology of psychiatric disorders.