Data-driven symptom dimensions reveal familial patterns in bipolar disorder
These findings suggest that latent clinical dimensions, especially those reflecting mood episode recurrence and age of onset, aggregate within families and may reflect underlying genetic liability in BD. Dimensional, data-driven phenotypes could provide more genetically informative traits than traditional diagnostic subtypes and offer promising targets for future genetic and neurobiological research.
Authors
- Abraham Vas Nunes
- Paul Grof (ORCID: https://orcid.org/0000-0001-5450-1300)
- Katie Scott (ORCID: https://orcid.org/0000-0001-5395-5036)
- Jennifer Judy (ORCID: https://orcid.org/0000-0002-2246-9745)
- Dean F. MacKinnon (ORCID: https://orcid.org/0000-0002-3212-437X)
- Claire O’Donovan (ORCID: https://orcid.org/0000-0001-8051-7429)
- Francis J. McMahon (ORCID: https://orcid.org/0000-0002-9469-305X)
- Martin Alda
- Thomas G. Schulze
- Barbara Pavlova
- James B. Potash
- Peter P. Zandi
- Sandra Meier
Institutions
- Dalhousie University (CA)
- Johns Hopkins University (US)
- SUNY Upstate Medical University (US)
- Behavioral Pharma (United States) (US)
- Centre for Movement Disorders (CA)
- National Institute of Mental Health (US)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Journal of Affective Disorders
- Published
- 2025-12-27
- DOI
- https://doi.org/10.1016/j.jad.2025.121060
- Primary Topic
- Bipolar Disorder and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00