Predicting suicide propensity using combined genomic and clinical risk assessment

摘要

Disclosed are biomarkers and methods for screening biomarker expression levels for predicting suicide propensity (herein indicative of suicidal ideation and behavior, future hospitalization and suicide completion). In addition, quantitative questionnaires and mobile applications for assessing emotional status and assessing sociodemographic and psychological suicide risk factors and their use to calculate scores that can predict suicide propensity Is disclosed. Finally, an algorithm for combining biomarkers and computer apps to identify subjects at risk of suicide is disclosed, and a method for reducing and preventing suicide propensity based on biomarkers and computer apps is disclosed . [Selection] Figure 3A