Psychotropic drug-induced lipid disturbances: a genome-wide association study in a Swiss psychiatric cohort
Abstract Dyslipidemia affects patients with severe mental illness to varying degrees, partly due to medication side effects and genetic variations that modify drug-induced lipid changes. To identify these genetics contributors, we conducted a genome-wide association study (GWAS) on 829 patients of the PsyMetab cohort whose total-, LDL-, HDL- cholesterol and triglyceride levels were recorded pre- and up to one-year post psychotropic treatment. Seven different loci were associated at genome wide significance level ( P < 5 × 10 −8 ) with treatment-induced lipids changes. Three genetic variants were associated with total cholesterol change following aripiprazole, quetiapine, and combination of quetiapine, olanzapine, clozapine treatment (rs17313064 G > A, rs12543987 G > A, rs58331124 G > A, respectively). Two markers were associated with HDL-cholesterol change following lithium and mirtazapine treatment (rs12097296 C > T, rs10933971 C > T, respectively). One variant was associated with triglycerides change following risperidone treatment (rs10260518 G > T) and finally one genetic variation was associated with triglycerides change considering any drug treatment (rs56286230 T > G). To compensate for the lack of classical replication, sensitivity analyses were conducted by assessing the robustness of effects using different post-treatment interval lengths. Notably rs10933971 effect on HLD-cholesterol was consistently found across different patients and time-frames. These findings point to genes previously associated with total lipids level in the general population and highlight novel drug-specific associations which provide promising insights toward personalized psychotropic therapy.
Authors
- Chin B. Eap (ORCID: https://orcid.org/0000-0002-5439-0230)
- Séverine Crettol (ORCID: https://orcid.org/0000-0003-3790-7194)
- Philippe Conus (ORCID: https://orcid.org/0000-0002-5832-1910)
- Nicolas Ansermot (ORCID: https://orcid.org/0000-0001-8350-9416)
- Martin Preisig (ORCID: https://orcid.org/0000-0001-5689-4259)
- Frederik Vandenberghe (ORCID: https://orcid.org/0000-0002-8964-2047)
- Armin von Gunten (ORCID: https://orcid.org/0000-0001-7852-3803)
- Nicolas Guex (ORCID: https://orcid.org/0000-0001-6023-0519)
- Franziska Gamma (ORCID: https://orcid.org/0000-0002-7991-466X)
- Carole Grandjean
- Céline Dubath (ORCID: https://orcid.org/0000-0002-6585-8492)
- Zoltán Kutalik (ORCID: https://orcid.org/0000-0001-8285-7523)
- Maxime Jan (ORCID: https://orcid.org/0000-0001-6483-7430)
- Aurélie Delacrétaz (ORCID: https://orcid.org/0009-0006-9471-3168)
- Kerstin Jessica Plessen
Institutions
- SIB Swiss Institute of Bioinformatics (CH)
- Addiction Switzerland (CH)
- Hôpital de Cery (CH)
- École Polytechnique Fédérale de Lausanne (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- Translational Psychiatry
- Published
- 2026-09-01
- DOI
- https://doi.org/10.1038/s41398-026-04419-2
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation