| Title: | Genetic network structure of 13 psychiatric disorders in the general population |
| Journal: | European Archives of Psychiatry and Clinical Neuroscience |
| Published: | 19 Apr 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37074466/ |
| DOI: | https://doi.org/10.1007/s00406-023-01601-1 |
| Citations: | 2 (2 in last 2 years) as of 8 Aug 2024 |
Publication 7868
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
Psychiatric disorders frequently co-occur and share common symptoms and genetic backgrounds. Previous research has used genome-wide association studies to identify the interrelationships among psychiatric disorders and identify clusters of disorders; however, these methods have limitations in terms of their ability to examine the relationships among disorders as a network structure and their generalizability to the general population. In this study, we explored the network structure of the polygenic risk score (PRS) for 13 psychiatric disorders in a general population (276,249 participants of European ancestry from the UK Biobank) and identified communities and the centrality of the network. In this network, the nodes represented a PRS for each psychiatric disorder and the edges represented the connections between nodes. The psychiatric disorders comprised four robust communities. The first community included attention-deficit hyperactivity disorder, autism spectrum disorder, major depressive disorder, and anxiety disorder. The second community consisted of bipolar I and II disorders, schizophrenia, and anorexia nervosa. The third group included Tourette's syndrome and obsessive-compulsive disorder. Cannabis use disorder, alcohol use disorder, and post-traumatic stress disorder make up the fourth community. The PRS of schizophrenia had the highest values for the three metrics (strength, betweenness, and closeness) in the network. Our findings provide a comprehensive genetic network of psychiatric disorders and biological evidence for the classification of psychiatric disorders.8 Authors
- Hong Kyu Ihm
- Hyejin Kim
- Jinho Kim
- Woong-Yang Park
- Hyo Shin Kang
- Jungkyu Park
- Hong-Hee Won
- Woojae Myung
1 Application
| Application ID | Title |
|---|---|
| 33002 | Development of a computational method to predict disease risk |
Enabling scientific discoveries that improve human health