TY  - JOUR
A1  - Meier, Sandra M.
A1  - Kähler, Anna K.
A1  - Bergen, Sarah E.
A1  - Sullivan, Patrick F.
A1  - Hultman, Christina M.
A1  - Mattheisen, Manuel
T1  - Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia
T2  - Frontiers in Psychiatry
N2  - 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.
KW  - schizophrenia
KW  - polygenic risk score
KW  - prediction
KW  - sex
KW  - course
Y1  - 2020
UR  - https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/20567
UR  - https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-205677
SN  - 1664-0640
VL  - 11
ER  -