Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population
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...
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2025-02-01
|
| Series: | Translational Psychiatry |
| Online Access: | https://doi.org/10.1038/s41398-025-03287-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850190959148531712 |
|---|---|
| author | Sarah M. C. Colbert Lauren Lepow Brian Fennessy Nakao Iwata Masashi Ikeda Takeo Saito Chikashi Terao Michael Preuss Jyotishman Pathak J. John Mann Hilary Coon Niamh Mullins |
| author_facet | Sarah M. C. Colbert Lauren Lepow Brian Fennessy Nakao Iwata Masashi Ikeda Takeo Saito Chikashi Terao Michael Preuss Jyotishman Pathak J. John Mann Hilary Coon Niamh Mullins |
| author_sort | Sarah M. C. Colbert |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8226f5d856704298959701cd8dae07f3 |
| institution | OA Journals |
| issn | 2158-3188 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Translational Psychiatry |
| spelling | doaj-art-8226f5d856704298959701cd8dae07f32025-08-20T02:15:05ZengNature Publishing GroupTranslational Psychiatry2158-31882025-02-011511910.1038/s41398-025-03287-6Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital populationSarah M. C. Colbert0Lauren Lepow1Brian Fennessy2Nakao Iwata3Masashi Ikeda4Takeo Saito5Chikashi Terao6Michael Preuss7Jyotishman Pathak8J. John Mann9Hilary Coon10Niamh Mullins11Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiDepartment of Psychiatry, Icahn School of Medicine at Mount SinaiCharles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiDepartment of Psychiatry, Fujita Health University School of MedicineDepartment of Psychiatry, Fujita Health University School of MedicineDepartment of Psychiatry, Fujita Health University School of MedicineLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical SciencesCharles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiDepartment of Population Health Sciences, Weill Cornell Medicine/NewYork-PresbyterianDepartment of Psychiatry, Columbia University Irving Medical Center, Columbia UniversityDepartment of Psychiatry & Huntsman Mental Health Institute, University of Utah School of MedicineDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiAbstract 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.https://doi.org/10.1038/s41398-025-03287-6 |
| spellingShingle | Sarah M. C. Colbert Lauren Lepow Brian Fennessy Nakao Iwata Masashi Ikeda Takeo Saito Chikashi Terao Michael Preuss Jyotishman Pathak J. John Mann Hilary Coon Niamh Mullins Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population Translational Psychiatry |
| title | Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population |
| title_full | Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population |
| title_fullStr | Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population |
| title_full_unstemmed | Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population |
| title_short | Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population |
| title_sort | distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population |
| url | https://doi.org/10.1038/s41398-025-03287-6 |
| work_keys_str_mv | AT sarahmccolbert distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation AT laurenlepow distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation AT brianfennessy distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation AT nakaoiwata distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation AT masashiikeda distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation AT takeosaito distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation AT chikashiterao distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation AT michaelpreuss distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation AT jyotishmanpathak distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation AT jjohnmann distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation AT hilarycoon distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation AT niamhmullins distinguishingclinicalandgeneticriskfactorsforsuicidalideationandbehaviorinadiversehospitalpopulation |