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Saarinen A, Lyytikäinen LP, Hietala J, Dobewall H, Lavonius V, Raitakari O, Kähönen M, Sormunen E, Lehtimäki T, Keltikangas-Järvinen L. Magical thinking in individuals with high polygenic risk for schizophrenia but no non-affective psychoses-a general population study. Mol Psychiatry 2022; 27:3286-3293. [PMID: 35505089 PMCID: PMC9708578 DOI: 10.1038/s41380-022-01581-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 04/07/2022] [Accepted: 04/12/2022] [Indexed: 11/09/2022]
Abstract
A strong genetic background for psychoses is well-established. Most individuals with a high genetic risk for schizophrenia, however, do not develop the disorder. We investigated whether individuals, who have a high genetic risk for schizophrenia but no non-affective psychotic disorders, are predisposed to develop milder forms of deviant thinking in terms of magical thinking. Participants came from the population-based Young Finns Study (n = 1292). The polygenic risk score for schizophrenia (PRS) was calculated on the basis of the most recent genome-wide association study (GWAS). Psychiatric diagnoses over the lifespan were collected up to 2017 from the registry of hospital care. Magical thinking was evaluated with the Spiritual Acceptance Scale (e.g., beliefs in telepathy, miracles, mystical events, or sixth sense) of the Temperament and Character Inventory in 1997, 2001, and 2012 (participants were 20-50-year-olds). We found that, among those who did not develop non-affective psychotic disorders, high PRS predicted higher magical thinking in adulthood (p = 0.001). Further, PRS predicted different developmental courses: a low PRS predicted a steady decrease in magical thinking from age 20 to 50 years, while in individuals with high PRS the decrease in magical thinking ceased in middle age so that their level of magical thinking remained higher than expected for that age. These findings remained when controlling for sex, childhood family environment, and adulthood socioeconomic factors. In conclusion, if high PRS does not lead to a non-affective psychotic disorder, it predicts milder forms of deviant thinking such as elevated magical thinking in adulthood, especially in middle age. The finding enhances our understanding of different outcomes of high genetic psychosis risk.
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Affiliation(s)
- Aino Saarinen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland.
| | - Leo-Pekka Lyytikäinen
- grid.511163.10000 0004 0518 4910Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Finland ,grid.412330.70000 0004 0628 2985Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, Finland ,grid.502801.e0000 0001 2314 6254Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jarmo Hietala
- grid.1374.10000 0001 2097 1371Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Henrik Dobewall
- grid.14758.3f0000 0001 1013 0499National Institute of Health and Welfare, Helsinki, Finland
| | - Veikka Lavonius
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Olli Raitakari
- grid.1374.10000 0001 2097 1371Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland ,grid.1374.10000 0001 2097 1371Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland ,grid.410552.70000 0004 0628 215XDepartment of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Mika Kähönen
- grid.502801.e0000 0001 2314 6254Department of Clinical Physiology, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Elina Sormunen
- grid.1374.10000 0001 2097 1371Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Terho Lehtimäki
- grid.511163.10000 0004 0518 4910Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Finland ,grid.502801.e0000 0001 2314 6254Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Liisa Keltikangas-Järvinen
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
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Hannigan LJ, Askeland RB, Ask H, Tesli M, Corfield E, Ayorech Z, Helgeland Ø, Magnus P, Njølstad PR, Øyen AS, Stoltenberg C, Andreassen OA, Davey Smith G, Reichborn-Kjennerud T, Havdahl A. Genetic Liability for Schizophrenia and Childhood Psychopathology in the General Population. Schizophr Bull 2021; 47:1179-1189. [PMID: 33561255 PMCID: PMC8266611 DOI: 10.1093/schbul/sbaa193] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Genetic liability for schizophrenia is associated with psychopathology in early life. It is not clear if these associations are time dependent during childhood, nor if they are specific across different forms of psychopathology. Using genotype and questionnaire data on children (N = 15 105) from the Norwegian Mother, Father and Child Cohort Study, we used schizophrenia polygenic risk scores to test developmental stability in associations with measures of emotional and behavioral problems between 18 months and 5 years, and domain specificity in associations with symptoms of depression, anxiety, conduct problems, oppositionality, inattention, and hyperactivity at 8 years. We then sought to identify symptom profiles-across development and domains-associated with schizophrenia polygenic liability. We found evidence for developmental stability in associations between schizophrenia polygenic risk scores and emotional and behavioral problems, with the latter being mediated specifically via the rate of change in symptoms (β slope = 0.032; 95% CI: 0.007-0.057). At age 8, associations were better explained by a model of symptom-specific polygenic effects rather than effects mediated via a general psychopathology factor or by domain-specific factors. Overall, individuals with higher schizophrenia polygenic risk scores were more likely (OR = 1.310 [95% CIs: 1.122-1.528]) to have a profile of increasing behavioral and emotional symptoms in early childhood, followed by elevated symptoms of conduct disorder, oppositionality, hyperactivity, and inattention by age 8. Schizophrenia-associated alleles are linked to specific patterns of early-life psychopathology. The associations are small, but findings of this nature can help us better understand the developmental emergence of schizophrenia.
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Affiliation(s)
- Laurie J Hannigan
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway,MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK,To whom correspondence should be addressed; e-mail:
| | - Ragna Bugge Askeland
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Helga Ask
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Martin Tesli
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway,NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Elizabeth Corfield
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Ziada Ayorech
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway,MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Øyvind Helgeland
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway,Department of Genetics and Bioinformatics, Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway,Institute of Health and Society, University of Oslo, Norway
| | - Pål Rasmus Njølstad
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway,Department of Pediatrics and Adolescents, Haukeland University Hospital, Bergen, Norway
| | - Anne-Siri Øyen
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway,Norwegian Institute of Public Health, Oslo, Norway
| | - Camilla Stoltenberg
- Norwegian Institute of Public Health, Oslo, Norway,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ted Reichborn-Kjennerud
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alexandra Havdahl
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway,MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK,Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway,Promenta Research Center, Department of Psychology, University of Oslo, Oslo, Norway
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