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Fertility of Patients With Schizophrenia, Their Siblings, and the General Population: A Cohort Study From 1950 to 1959 in Finland
Abstract
OBJECTIVE: Genetic factors are the most important risk factors for schizophrenia. However, despite the fact that patients with schizophrenia have significantly fewer offspring than the general population, schizophrenia persists. The authors investigated whether the siblings of patients with schizophrenia produce more offspring, thereby compensating for the low fertility of the affected individuals. METHOD: From all 870,093 individuals born in Finland from 1950 to 1959, the authors determined how many had schizophrenia or were siblings of schizophrenia patients and how many offspring they had. The population data were obtained from the Population Register Center of Finland, and the National Hospital Discharge Register was used to identify all persons who had been hospitalized because of schizophrenia. Appropriate regression models were used to model age at the birth of the first child, number of children, and proportion of males among offspring. RESULTS: Of the total population, 1.3% were patients with schizophrenia, and 2.8% were their siblings. The mean number of offspring among female siblings was slightly but significantly higher than among women in the general population (1.89 versus 1.83), while the opposite was true for the male siblings (1.57 versus 1.65 among men in the general population). The mean number of offspring among patients with schizophrenia was 0.83 for women and 0.44 for men. CONCLUSIONS: Lower than average fertility among patients with schizophrenia is not compensated for by higher fertility among their siblings. Thus, the persistence of schizophrenia in the general population is not explained by this simple evolutionary mechanism.
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“De novo missense mutations in TRIO significantly disrupted the exons preceding or containing the RhoGEF domain (Figure 5C)37,38”
From Rare coding variants in ten genes confer substantial risk for schizophrenia (2022) · cites this paper as [37]
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“Most recently, the analysis of de novo mutations from 31,058 DD/ID trios implicated 299 genes, while the analysis of 11,986 ASD cases identified 102 genes at FDR < 10% (Table S11)1,37.”
From Rare coding variants in ten genes confer substantial risk for schizophrenia (2022) · cites this paper as [37]
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Metadata
- Authors
- Haukka, J., Suvisaari, J., & Lönnqvist, J.
- Venue
- American Journal of Psychiatry
- Published
- 2003-03-01
- Volume
- 160
- Issue
- 3
- Pages
- 460-463
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W2103544303
- Cited by
- 126
- References
- 34
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 5 · 2023: 5 · 2022: 4 · 2021: 1 · 2020: 2 · 2019: 7 · 2018: 4 · 2017: 2 · 2016: 2 · 2015: 6 · 2014: 8 · 2013: 5 · 2012: 11
- FWCI
- 3.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
- Keywords
- schizophrenia, fertility, siblings of patients, offspring number, age at first birth, offspring sex ratio, genetic risk factors, Finland
- MeSH terms
- Adult, Birth Rate, Family Characteristics, Female, Fertility, Finland, Humans, Infant, Newborn, Male, Maternal Age, Parity, Registries, Regression Analysis, Risk Factors, Schizophrenia, Sex Factors, Sex Ratio, Cohort Studies, Siblings
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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