Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Dec 6;54(15):1-13.
doi: 10.1017/S0033291724002058. Online ahead of print.

The impact of schizophrenia genetic load and heavy cannabis use on the risk of psychotic disorder in the EU-GEI case-control and UK Biobank studies

Affiliations

The impact of schizophrenia genetic load and heavy cannabis use on the risk of psychotic disorder in the EU-GEI case-control and UK Biobank studies

Isabelle Austin-Zimmerman et al. Psychol Med. .

Abstract

Background: The association between cannabis and psychosis is established, but the role of underlying genetics is unclear. We used data from the EU-GEI case-control study and UK Biobank to examine the independent and combined effect of heavy cannabis use and schizophrenia polygenic risk score (PRS) on risk for psychosis.

Methods: Genome-wide association study summary statistics from the Psychiatric Genomics Consortium and the Genomic Psychiatry Cohort were used to calculate schizophrenia and cannabis use disorder (CUD) PRS for 1098 participants from the EU-GEI study and 143600 from the UK Biobank. Both datasets had information on cannabis use.

Results: In both samples, schizophrenia PRS and cannabis use independently increased risk of psychosis. Schizophrenia PRS was not associated with patterns of cannabis use in the EU-GEI cases or controls or UK Biobank cases. It was associated with lifetime and daily cannabis use among UK Biobank participants without psychosis, but the effect was substantially reduced when CUD PRS was included in the model. In the EU-GEI sample, regular users of high-potency cannabis had the highest odds of being a case independently of schizophrenia PRS (OR daily use high-potency cannabis adjusted for PRS = 5.09, 95% CI 3.08-8.43, p = 3.21 × 10-10). We found no evidence of interaction between schizophrenia PRS and patterns of cannabis use.

Conclusions: Regular use of high-potency cannabis remains a strong predictor of psychotic disorder independently of schizophrenia PRS, which does not seem to be associated with heavy cannabis use. These are important findings at a time of increasing use and potency of cannabis worldwide.

Keywords: cannabis; first-episode psychosis; high-potency cannabis; polygenic risk score; psychosis; schizophrenia.

PubMed Disclaimer

Conflict of interest statement

M. Di Forti reports personal fees from Janssen, outside the submitted work. R. M. Murray reports personal fees from Janssen, Lundbeck, Sunovion, and Otsuka, outside of the submitted work. Dr Arango has been a consultant to or has received honoraria or grants from Acadia, Angelini, Biogen, Boehringer, Gedeon Richter, Janssen Cilag, Lundbeck, Medscape, Menarini, Minerva, Otsuka, Pfizer, Roche, Sage, Servier, Shire, Schering Plough, Sumitomo Dainippon Pharma, Sunovion, and Takeda. All the remaining authors have declared that there are no competing interests in relation to the subject of this study.

Figures

Figure 1.
Figure 1.
Distribution of schizophrenia PRSs shows an overall increase in PRS for cases compared to controls in the EU-GEI cohort (mean PRS cases = 0.40 ± 1.05, mean PRS controls = 0.17 ± 1.00, p = 2.2 × 10−26).
Figure 2.
Figure 2.
Probability of psychosis case status within EU-GEI cohort as schizophrenia PRS increases, across seven levels of cannabis potency–frequency composite measure.

References

    1. 1000 Genomes Project Consortium. (2010). A map of human genome variation from population scale sequencing. Nature, 467, 1061. doi:10.1038/nature09534 - DOI - PMC - PubMed
    1. Agrawal, A., & Lynskey, M. T. (2006). The genetic epidemiology of cannabis use, abuse and dependence. Addiction, 101, 801–812. doi:10.1111/j.1360-0443.2006.01399.x - DOI - PubMed
    1. Bharat, C., Webb, P., Wilkinson, Z., McKetin, R., Grebely, J., Farrell, M., … Clark, B. (2023). Agreement between self-reported illicit drug use and biological samples: A systematic review and meta-analysis. Addiction, 118, 1624–1648. doi:10.1111/add.16200 - DOI - PubMed
    1. Bigdeli, T. B., Genovese, G., Georgakopoulos, P., Meyers, J. L., Peterson, R. E., Iyegbe, C. O., … Pato, C. N. (2020). Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry. Molecular Psychiatry, 25, 2455–2467. doi:10.1038/s41380-019-0517-y - DOI - PMC - PubMed
    1. Brisacier, A.-C., Cadet-Taïrou, A., Díaz Gómez, C., Gandilhon, M., Le Nézet, O., & Lemenier-Jeannet, A. (2015). Drogues, chiffres clés. Paris: Observatoire Français des Drogues et des Toxicomanies. Government document. Retrieved from https://www.ofdt.fr/publications/collections/drogues-et-addictions-chiff...

LinkOut - more resources