Related Experiment Video
Updated: Feb 3, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Polygenic risk scoring and prediction of mental health outcomes
John S Anderson1, Jess Shade1, Emily DiBlasi1
1Department of Psychiatry, University of Utah School of Medicine, 201 President's Circle, Salt Lake City, UT 8412, USA.
Abstract:
Psychiatric conditions are highly polygenic, meaning that genetic risk arises from many hundreds or thousands of genetic variants. Psychiatric genomics and psychological science are increasingly using polygenic risk scoring-the integration of all common genetic variant effects into a single risk metric-to model latent risk and to predict mental health outcomes. This review discusses the use of these scores in psychology and psychiatry to date, important methodological considerations, and potential of scoring methods for informing psychological science. Polygenic risk scores can easily be added to environmental and behavioral genetic models of latent risk, making them desirable metrics for use in psychological research.
More Related Videos
06:55An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents
Published on: December 2, 2015
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Related Concept Videos
Stress and Mental Health
Individuals with depression often experience challenges in both their personal and professional...
Predicting Reaction Outcomes
Polygenic Traits
Introduction to z Scores
z scores...
Introduction to z Scores
z scores...
z Scores and Area Under the Curve