Filtern
Volltext vorhanden
- ja (1)
Gehört zur Bibliographie
- ja (1)
Erscheinungsjahr
- 2020 (1) (entfernen)
Dokumenttyp
Sprache
- Englisch (1)
Schlagworte
- course (1)
- polygenic risk score (1)
- prediction (1)
- schizophrenia (1)
- sex (1)
EU-Projektnummer / Contract (GA) number
- 610307 (1)
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.