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Genetic network structure of 13 psychiatric disorders in the general population

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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.

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Fig. 1

Data availability

The data are available from the corresponding author upon reasonable request.

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Funding

The study was approved by the Institutional Review Board of Seoul National University Bundang Hospital (X-2202-737-902). This research was conducted using the UK Biobank Resource under Application Number 33002. This study was supported by a National Research Foundation of Korea grant funded by the Ministry of Science and Information and Communication Technologies, South Korea (grant numbers NRF-2021R1A2C4001779 to WM and NRF-2022R1A2C2009998 to H-HW).

Author information

Author notes

  1. Hong Kyu Ihm and Hye** Kim have contributed equally to this work as co-first authors.

  2. Hong-Hee Won and Woojae Myung have contributed equally to this work as co-corresponding authors.

Authors and Affiliations

  1. Department of Neuropsychiatry, Seoul National University Bundang Hospital, 29, Gumi-ro 173 beon-gil Bundang-gu, Seongnam-Si, Gyeonggi-Do, 13619, Republic of Korea

    Hong Kyu Ihm & Woojae Myung

  2. Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Samsung Medical Center, Sungkyunkwan University, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea

    Hye** Kim & Hong-Hee Won

  3. Future Innovation Research Division, Precision Medicine Center, Seoul National University Bundang Hospital, Seongnam, South Korea

    **ho Kim

  4. Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea

    Woong-Yang Park & Hong-Hee Won

  5. Department of Psychology, Kyungpook National University, Daegu, Republic of Korea

    Hyo Shin Kang & Jungkyu Park

  6. Department of Psychiatry, College of Medicine, Seoul National University, Seoul, South Korea

    Woojae Myung

Authors
  1. Hong Kyu Ihm
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  2. Hye** Kim
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  3. **ho Kim
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  4. Woong-Yang Park
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  5. Hyo Shin Kang
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  6. Jungkyu Park
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  7. Hong-Hee Won
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  8. Woojae Myung
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Contributions

WM and H–HW had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: WM and H–HW. Statistical analysis: WM and HK. Interpretation of data: all authors. Drafting of the manuscript: HKI, WM and HK. Revising of the manuscript: all authors. Study supervision: WM and H–HW.

Corresponding authors

Correspondence to Hong-Hee Won or Woojae Myung.

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Conflict of interest

Woong-Yang Park was employed by a commercial company, GENINUS. Other authors state that they have no competing interests to declare.

Ethical approval

These funding sources were not involved in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript.

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Ihm, H.K., Kim, H., Kim, J. et al. Genetic network structure of 13 psychiatric disorders in the general population. Eur Arch Psychiatry Clin Neurosci (2023). https://doi.org/10.1007/s00406-023-01601-1

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  • DOI: https://doi.org/10.1007/s00406-023-01601-1

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