Using multi-trait polygenic scores to predict lithium responsiveness in patients with bipolar disorder
By integrating polygenic scores for multiple relevant phenotypes, predictive accuracy for lithium response improved up to nine-fold compared to single-trait methods. Future research incorporating larger, more diverse populations and combining genetic scores with clinical data holds promise for further enhancing prediction and advancing clinical implementation.
Authors
- Scott R. Clark (ORCID: https://orcid.org/0000-0001-7009-2156)
- T. Schulze
- Sergi Papiol (ORCID: https://orcid.org/0000-0001-9366-8728)
- Simon Hartmann (ORCID: https://orcid.org/0000-0001-9689-0594)
- Nigussie Tadesse Sharew (ORCID: https://orcid.org/0000-0002-6443-6992)
- International Consortium on Lithium Genetics Collaborators
Institutions
- University of Münster (DE)
- SA Health (AU)
- The University of Adelaide (AU)
- FH Münster University of Applied Sciences (DE)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- medRxiv
- Published
- 2026-01-05
- DOI
- https://doi.org/10.64898/2026.01.01.25343187
- Citations
- 1
- Primary Topic
- Bipolar Disorder and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 33.12
Funders
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- Medical Research Council
- National Health and Medical Research Council
- National Institute of Mental Health