PREDICTING SUICIDALITY USING A COMBINED GENOMIC AND CLINICAL RISK ASSESSMENT

摘要

Biomarkers and methods for screening expression levels of the biomarkers for predicting suicidality (referred herein to suicidal ideation and actions, future hospitalizations and suicide completion) are disclosed. Also disclosed are quantitative questionnaires and mobile applications for assessing affective state and for assessing socio-demographic and psychological suicide risk factors, and their use to compute scores that can predict suicidality. Finally, an algorithm that combines biomarkers and computer apps for identifying subjects who are at risk for committing suicide is disclosed, as well as methods to mitigate and prevent suicidality based on the biomarkers and computer apps.