Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia

Sandra M. Meier, Anna K. Kähler, Sarah E. Bergen, Patrick F. Sullivan, Christina M. Hultman, Manuel Mattheisen

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Article number313
JournalFrontiers in Psychiatry
Volume11
DOIs
Publication statusPublished - Jun 9 2020

Bibliographical note

Publisher Copyright:
© Copyright © 2020 Meier, Kähler, Bergen, Sullivan, Hultman and Mattheisen.

ASJC Scopus Subject Areas

  • Psychiatry and Mental health

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