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Genetic network structure of 13 psychiatric disorders in the general population.

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Title: Genetic network structure of 13 psychiatric disorders in the general population.
Authors: Ihm, Hong Kyu (AUTHOR), Kim, Hyejin (AUTHOR), Kim, Jinho (AUTHOR), Park, Woong-Yang (AUTHOR), Kang, Hyo Shin (AUTHOR), Park, Jungkyu (AUTHOR), Won, Hong-Hee (AUTHOR), Myung, Woojae (AUTHOR)
Source: European Archives of Psychiatry & Clinical Neuroscience. Aug2024, Vol. 274 Issue 5, p1231-1236. 6p.
Subjects: Mental illness, Genetic risk score, Marijuana abuse, Alcoholism, Tourette syndrome, Biological classification
Geographic Terms: United Kingdom
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. [ABSTRACT FROM AUTHOR]
Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Genetic network structure of 13 psychiatric disorders in the general population.
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  Data: <searchLink fieldCode="AR" term="%22Ihm%2C+Hong+Kyu%22">Ihm, Hong Kyu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Hyejin%22">Kim, Hyejin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Jinho%22">Kim, Jinho</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Park%2C+Woong-Yang%22">Park, Woong-Yang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kang%2C+Hyo+Shin%22">Kang, Hyo Shin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Park%2C+Jungkyu%22">Park, Jungkyu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Won%2C+Hong-Hee%22">Won, Hong-Hee</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Myung%2C+Woojae%22">Myung, Woojae</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Archives+of+Psychiatry+%26+Clinical+Neuroscience%22">European Archives of Psychiatry & Clinical Neuroscience</searchLink>. Aug2024, Vol. 274 Issue 5, p1231-1236. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Mental+illness%22">Mental illness</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+risk+score%22">Genetic risk score</searchLink><br /><searchLink fieldCode="DE" term="%22Marijuana+abuse%22">Marijuana abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Alcoholism%22">Alcoholism</searchLink><br /><searchLink fieldCode="DE" term="%22Tourette+syndrome%22">Tourette syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+classification%22">Biological classification</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Aug2024
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