Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia
- PMID: 32581855
- PMCID: PMC7297201
- DOI: 10.3389/fpsyt.2020.00313
Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia
Abstract
Schizophrenia (SCZ) is a severe mental disorder with immense personal and societal costs; identifying individuals at risk is therefore of utmost importance. Genomic risk profile scores (GRPS) have been shown to significantly predict cases-control status. Making use of a large-population based sample from Sweden, we replicate a previous finding demonstrating that the GRPS is strongly associated with admission frequency and chronicity of SCZ. Furthermore, we were able to show a substantial gap in prediction accuracy between males and females. In sum, our results indicate that prediction accuracy by GRPS depends on clinical and demographic characteristics.
Keywords: course; polygenic risk score; prediction; schizophrenia; sex.
Copyright © 2020 Meier, Kähler, Bergen, Sullivan, Hultman and Mattheisen.
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