Leveraging Biobanks to Characterize the Genetic Architecture of Suicide Attempt, Suicidal Ideation, and Treatment-Resistant Depression

Abstract

In this dissertation I demonstrate three projects that utilize biobanks to increase power and gain insight into the genetic architecture of complex psychiatric traits: 1) an international consortium GWAS of suicide attempt where biobanks facilitated case ascertainment from multiple sites, 2) clinical prediction modeling of TRD using biobanks to capture the clinical features of individuals receiving electroconvulsive therapy, and 3) a GWAS of suicidal ideation that utilizes both structured and unstructured data in biobanks to ascertain cases.