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.…
Author: | Sandra M. Meier, Anna K. Kähler, Sarah E. Bergen, Patrick F. Sullivan, Christina M. Hultman, Manuel Mattheisen |
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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): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |