Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia

Please always quote using this URN: urn:nbn:de:bvb:20-opus-205677
  • 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. InSchizophrenia (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.show moreshow less

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar Statistics
Metadaten
Author: Sandra M. Meier, Anna K. Kähler, Sarah E. Bergen, Patrick F. Sullivan, Christina M. Hultman, Manuel Mattheisen
URN:urn:nbn:de:bvb:20-opus-205677
Document Type:Journal article
Faculties:Medizinische Fakultät / Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie
Language:English
Parent Title (English):Frontiers in Psychiatry
ISSN:1664-0640
Year of Completion:2020
Volume:11
Article Number:313
Source:Frontiers in Psychiatry 2020, 11:313. doi: 10.3389/fpsyt.2020.00313
DOI:https://doi.org/10.3389/fpsyt.2020.00313
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:course; polygenic risk score; prediction; schizophrenia; sex
Release Date:2021/03/03
Date of first Publication:2020/06/09
EU-Project number / Contract (GA) number:610307
OpenAIRE:OpenAIRE
Open-Access-Publikationsfonds / Förderzeitraum 2020
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International