Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population

Suicidal ideation (SI) and behavior (SB) are major public health concerns, but risk factors for their development and progression are poorly understood. We used ICD codes and a natural language processing algorithm to identify individuals in a hospital biobank with SI-only, SB, and controls without either. We compared the profiles of SB and SI-only patients to controls, and each other, using phenome-wide association studies (PheWAS) and polygenic risk scores (PRS). PheWAS identified many risk factors for SB and SI-only, plus specific psychiatric disorders which may be involved in progression from SI-only to SB. PRS for suicide attempt were only associated with SB, and even after accounting for psychiatric disorder PRS. SI PRS were only associated with SI-only, although not after accounting for psychiatric disorder PRS. These findings advance understanding of distinct genetic and clinical risk factors for SB and SI-only, which will aid in early detection and intervention efforts.

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Publication Details

Journal
Translational Psychiatry
Published
2025-02-20
DOI
https://doi.org/10.1038/s41398-025-03287-6
Citations
5
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
11.53

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article

Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population

Chikashi C. Terao, Nakao Iwata, Lauren Lepow, Jyotishman Pathak et al.
5 citations
Translational Psychiatry
Suicide and Self-Harm Studies
11.53
article

Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population

Chikashi C. Terao, Nakao Iwata, Lauren Lepow, Jyotishman Pathak, Michael Preuß, Masashi Ikeda, Brian Fennessy, Niamh Mullins, Sarah M. C. Colbert, J. John Mann, Hilary Coon, Takeo Saito
article en
5 citations

Abstract

Suicidal ideation (SI) and behavior (SB) are major public health concerns, but risk factors for their development and progression are poorly understood. We used ICD codes and a natural language processing algorithm to identify individuals in a hospital biobank with SI-only, SB, and controls without either. We compared the profiles of SB and SI-only patients to controls, and each other, using phenome-wide association studies (PheWAS) and polygenic risk scores (PRS). PheWAS identified many risk factors for SB and SI-only, plus specific psychiatric disorders which may be involved in progression from SI-only to SB. PRS for suicide attempt were only associated with SB, and even after accounting for psychiatric disorder PRS. SI PRS were only associated with SI-only, although not after accounting for psychiatric disorder PRS. These findings advance understanding of distinct genetic and clinical risk factors for SB and SI-only, which will aid in early detection and intervention efforts.

Translational PsychiatryVol. 15(1)
Fujita Health University (JP), University of Shizuoka (JP), Cornell University (US), University of Utah (US), Columbia University Irving Medical Center (US), Huntsman Cancer Institute (US), New York Psychoanalytic Society and Institute (US), Presbyterian Hospital (US), Shizuoka General Hospital (JP), RIKEN Center for Integrative Medical Sciences (JP), Weill Cornell Medicine (US), New York State Psychiatric Institute, Nagoya University (JP), Icahn School of Medicine at Mount Sinai (US)
National Science Foundation, Brain and Behavior Research Foundation, Japan Agency for Medical Research and Development, National Alliance for Research on Schizophrenia and Depression, Georgia Clinical and Translational Science Alliance, National Institutes of Health, Japan Society for the Promotion of Science, National Institute of Mental Health, National Center for Advancing Translational Sciences
Openalex Percentile: Top 2%
Suicide and Self-Harm Studies
11.53
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