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The "polyenviromic risk score": Aggregating environmental risk factors predicts conversion to psychosis in familial high-risk subjects.
- Source :
-
Schizophrenia research [Schizophr Res] 2017 Mar; Vol. 181, pp. 17-22. Date of Electronic Publication: 2016 Oct 29. - Publication Year :
- 2017
-
Abstract
- Background: Young relatives of individuals with schizophrenia (i.e. youth at familial high-risk, FHR) are at increased risk of developing psychotic disorders, and show higher rates of psychiatric symptoms, cognitive and neurobiological abnormalities than non-relatives. It is not known whether overall exposure to environmental risk factors increases risk of conversion to psychosis in FHR subjects.<br />Methods: Subjects consisted of a pilot longitudinal sample of 83 young FHR subjects. As a proof of principle, we examined whether an aggregate score of exposure to environmental risk factors, which we term a 'polyenviromic risk score' (PERS), could predict conversion to psychosis. The PERS combines known environmental risk factors including cannabis use, urbanicity, season of birth, paternal age, obstetric and perinatal complications, and various types of childhood adversity, each weighted by its odds ratio for association with psychosis in the literature.<br />Results: A higher PERS was significantly associated with conversion to psychosis in young, familial high-risk subjects (OR=1.97, p=0.009). A model combining the PERS and clinical predictors had a sensitivity of 27% and specificity of 96%.<br />Conclusion: An aggregate index of environmental risk may help predict conversion to psychosis in FHR subjects.<br /> (Copyright © 2016 Elsevier B.V. All rights reserved.)
- Subjects :
- Adolescent
Disease Progression
Female
Follow-Up Studies
Genetic Predisposition to Disease
Humans
Longitudinal Studies
Male
Odds Ratio
Pilot Projects
Psychotic Disorders epidemiology
Psychotic Disorders genetics
Risk Factors
Schizophrenia epidemiology
Schizophrenia genetics
Sensitivity and Specificity
Environment
Psychotic Disorders diagnosis
Risk Assessment
Schizophrenia diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1573-2509
- Volume :
- 181
- Database :
- MEDLINE
- Journal :
- Schizophrenia research
- Publication Type :
- Academic Journal
- Accession number :
- 28029515
- Full Text :
- https://doi.org/10.1016/j.schres.2016.10.014