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Polygenic and polyenvironment interplay in schizophrenia-spectrum disorder and affective psychosis; the EUGEI first episode study

Rodriguez, Victoria, Alameda, Luis, Aas, Monica, Gayer-Anderson, Charlotte, Trotta, Giulia, Spinazzola, Edoardo, Quattrone, Diego, Tripoli, Giada, Jongsma, Hannah E., Stilo, Simona, La Cascia, Caterina, Ferraro, Laura, La Barbera, Daniele, Lasalvia, Antonio, Tosato, Sarah, Tarricone, Ilaria, Bonora, Elena, Jamain, Stéphane, Selten, Jean-Paul, Velthorst, Eva, de Haan, Lieuwe, Llorca, Pierre-Michel, Arrojo, Manuel, Bobes, Julio, Bernardo, Miguel, Arango, Celso, Kirkbride, James, Jones, Peter B., Rutten, Bart P, Richards, Alexander, Sham, Pak C., O’Donovan, Michael ORCID: https://orcid.org/0000-0001-7073-2379, Van Os, Jim, Morgan, Craig, Di Forti, Marta, Murray, Robin M. and Vassos, Evangelos 2024. Polygenic and polyenvironment interplay in schizophrenia-spectrum disorder and affective psychosis; the EUGEI first episode study. Schizophrenia Bulletin: The Journal of Psychoses and Related Disorders , sbae207. 10.1093/schbul/sbae207

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License URL: https://creativecommons.org/licenses/by-nc-nd/4.0/
License Start date: 11 December 2024

Abstract

Background Multiple genetic and environmental risk factors play a role in the development of both schizophrenia-spectrum disorders and affective psychoses. How they act in combination is yet to be clarified. Methods We analyzed 573 first episode psychosis cases and 1005 controls, of European ancestry. Firstly, we tested whether the association of polygenic risk scores for schizophrenia, bipolar disorder, and depression (PRS-SZ, PRS-BD, and PRS-D) with schizophrenia-spectrum disorder and affective psychosis differed when participants were stratified by exposure to specific environmental factors. Secondly, regression models including each PRS and polyenvironmental measures, including migration, paternal age, childhood adversity and frequent cannabis use, were run to test potential polygenic by polyenvironment interactions. Results In schizophrenia-spectrum disorder vs controls comparison, PRS-SZ was the strongest genetic predictor, having a nominally larger effect in nonexposed to strong environmental factors such as frequent cannabis use (unexposed vs exposed OR 2.43 and 1.35, respectively) and childhood adversity (3.04 vs 1.74). In affective psychosis vs controls, the relative contribution of PRS-D appeared to be stronger in those exposed to environmental risk. No evidence of interaction was found between any PRS with polyenvironmental score. Conclusions Our study supports an independent role of genetic liability and polyenvironmental risk for psychosis, consistent with the liability threshold model. Whereas schizophrenia-spectrum disorders seem to be mostly associated with polygenic risk for schizophrenia, having an additive effect with well-replicated environmental factors, affective psychosis seems to be a product of cumulative environmental insults alongside a higher genetic liability for affective disorders.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Medicine
Additional Information: License information from Publisher: LICENSE 1: URL: https://creativecommons.org/licenses/by-nc-nd/4.0/, Start Date: 2024-12-11
Publisher: Oxford University Press
ISSN: 0586-7614
Date of First Compliant Deposit: 7 January 2025
Last Modified: 07 Jan 2025 11:45
URI: https://orca.cardiff.ac.uk/id/eprint/175063

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