| Title: | Unraveling the Genetic Basis of Self-Harm Phenotype: New Perspectives on Its Links to Depression and Chronic Pain |
| Journal: | Biological Psychiatry Global Open Science |
| Published: | 1 Jun 2026 |
| DOI: | https://doi.org/10.1016/j.bpsgos.2026.100770 |
Publication 20650
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Background Self-harm is a complex behavior with substantial mental health implications across the lifespan, including among middle-aged and older adults, an often under-recognized population in suicide prevention efforts. While chronic pain and depression are known correlates of self-harm, the underlying genetic and mechanistic relationships among these conditions remain poorly understood. Methods In this study, we focused on self-harm as the primary outcome and investigated whether depression genetically mediates the link between chronic pain and self-harm risk. Using a large-scale dataset from the UK Biobank (>500,000 individuals), we applied an integrative analytic framework combining polygenic risk scoring, genetic correlation, causal inference, genomic structural equation modeling. Results Both depression and chronic pain were significantly associated with self-harm phenotypes in epidemiological analyses, and these associations remained robust after accounting for psychiatric comorbidities, including anxiety, as well as analgesic and psychotropic medication use. Genetic analyses further supported depression as a key mediator linking chronic pain to self-harm phenotypes, with evidence from genetic correlation, Mendelian randomization, and genomic structural equation modeling analyses. Genomic structural equation modeling identified candidate genes and enriched pathways involved in synaptic signaling and neurodevelopment, pointing to a shared biological basis. Conclusions These findings propose a new depression-mediated genetic model of self-harm, emphasizing the importance of integrated psychiatric and somatic screening to inform early intervention strategies in aging populations.</p>
18 Authors
- Weixin Liu
- Yanyue Ye
- Zhongting Huang
- Jijun Zhu
- Shenghan Wang
- Pan Li
- Haowen Zhuang
- Shunjie Zhang
- Fuqiang Cai
- Zhijian Song
- Yuxin Liu
- Fei Ling
- Hui Chen
- Sihong Li
- Xianliang Chen
- Huajia Tang
- Junfang Chen
- Jiansong Zhou
1 Application
| Application ID | Title |
|---|---|
| 98111 | Exploring environmental risks and adverse behavior outcomes of mood disorders and its molecular underpinnings: longitudinal analysis of UK Biobank data |
Enabling scientific discoveries that improve human health