Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia

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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.

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Meier, S. M., Kähler, A. K., Bergen, S. E., Sullivan, P. F., Hultman, C. M., & Mattheisen, M. (2020). Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia. Frontiers in Psychiatry, 11. https://doi.org/10.3389/fpsyt.2020.00313

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