A1 Refereed original research article in a scientific journal

Sleep and schizophrenia polygenic scores in non-affective and affective psychotic disorders




AuthorsCederlöf, Erik; Holm, Minna; Kämpe, Anders; Ahola-Olli, Ari; Kantojärvi, Katri; Lähteenvuo, Markku; Ahti, Johan; Hietala, Jarmo; Häkkinen, Katja; Isometsä, Erkki; Tuulio-Henriksson, Annamari; Kampman, Olli; Lahdensuo, Kaisla; Lönnqvist, Jouko; Tiihonen, Jari; Turunen, Hannu; Wegelius, Asko; Veijola, Juha; Kieseppä, Tuula; Palotie, Aarno; Paunio, Tiina

PublisherCambridge University Press (CUP)

Publishing placeCAMBRIDGE

Publication year2025

JournalPsychological Medicine

Journal name in sourcePsychological Medicine

Journal acronymPSYCHOL MED

Article numbere117

Volume55

Number of pages10

ISSN0033-2917

eISSN1469-8978

DOIhttps://doi.org/10.1017/S0033291725000844

Web address https://doi.org/10.1017/s0033291725000844

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/491821158


Abstract

Background: Sleep problems are common in psychotic disorders and are associated with worse quality of life and disease prognosis. Genome-wide association studies (GWAS) have revealed genetic influences for schizophrenia and sleep, but polygenic scores (PGSs) for sleep traits have not been evaluated systematically in patients with psychotic disorders.

Methods: This study investigated the associations between PGSs for sleep traits (insomnia, PGSINS; sleep duration, PGSSD; short sleep duration, PGSSS; long sleep duration; PGSLS), diurnal preference (eveningness, PGSME), and schizophrenia (PGSSZ) with clinical features of psychotic disorders in the Finnish SUPER study comprising 8,232 patients with psychotic disorders. The measures included self-reported sleep and well-being, cognitive assessments, clozapine use, and functional outcomes. Using FinnGen data of 356,077 individuals, we analyzed the distributions of PGSs in psychotic and bipolar disorders and the general population.

Results: PGSINS associated with more sleep problems and worse well-being (e.g. worse health-related quality of life [β = -0.07, CI = -0.09, -0.05, p < .001]). High PGSSZ is associated with better sleep quality, worse clinical outcomes, and performance in cognitive tests (e.g. more errors in paired-associated learning [β = 0.07, CI = 0.04, 0.09, p < .001]). PGSINS was higher in affective psychotic and bipolar disorders, while PGSSD and PGSME were higher in schizophrenia as compared with individuals with no psychiatric disorders.

Conclusion: Genetic risks for sleep and diurnal preference vary between non-affective psychosis, affective psychosis, and the general population. The findings in this study emphasize the heterogeneity in genetic etiology of the objective features of disease severity and the more subjective measures related to well-being and self-reported measures of sleep.


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Funding information in the publication
This work was supported by the Stanley Center for Psychiatric Research at Broad Institute. Cederlöf and Paunio were supported by grants from Finska Läkaresällskapet (#9-1600-15 and #8-1353-9), HUS (TYH2021328) and Academy of Finland (#357643). Holm was supported by a grant from the Academy of Finland (#310295). Kämpe was supported by Svenska sällskapet för medicinsk forskning, SSMF (# PD20-0190). The funding organizations had no role in the design or execution of the study; in the collection, management, analysis, or interpretation of data; in the preparation, review, or approval of the manuscript; or in the decision to submit the manuscript for publication.


Last updated on 2025-21-05 at 10:58