This paper is in the following e-collection/theme issue:

Theme Issue: Machine Learning-Based Predictive Models Using Genomic Data (6) Methods and New Tools in Mental Health Research (581) Depression and Mood Disorders; Suicide Prevention (1745) New Methods (1170) Diagnostic Tools in Mental Health (337) Methods and Instruments in Medical Informatics (211) Mental Health Surveillance and Epidemiology (104)

Published on in Vol 5 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58357, first published .
Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study

Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study

Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study

Authors of this article:

Younga Heather Lee1, 2, 3 Author Orcid Image ;   Yingzhe Zhang1, 2, 4 Author Orcid Image ;   Chris J Kennedy3, 5 Author Orcid Image ;   Travis T Mallard1, 2, 3 Author Orcid Image ;   Zhaowen Liu1, 2, 3, 6 Author Orcid Image ;   Phuong Linh Vu7 Author Orcid Image ;   Yen-Chen Anne Feng1, 2, 3, 8 Author Orcid Image ;   Tian Ge1, 2, 3, 5 Author Orcid Image ;   Maria V Petukhova9 Author Orcid Image ;   Ronald C Kessler9 Author Orcid Image ;   Matthew K Nock10, 11, 12 Author Orcid Image ;   Jordan W Smoller1, 2, 3, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Ren N, Zheng S, Zhou Y, Zhang X, Wang M, Bian Y. The prospect of suicide biomarkers: from neurobiology to precision prevention. Frontiers in Psychology 2026;17 View