Meier Sandra M, Kähler Anna K, Bergen Sarah E, Sullivan Patrick F, Hultman Christina M, Mattheisen Manuel
Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Front Psychiatry. 2020 Jun 9;11:313. doi: 10.3389/fpsyt.2020.00313. eCollection 2020.
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.
精神分裂症（SCZ）是一种严重的精神障碍，会给个人和社会带来巨大代价；因此，识别有患病风险的个体至关重要。基因组风险概况评分（GRPS）已被证明能显著预测病例对照状态。利用来自瑞典的基于大样本人群的样本，我们重复了之前的一项发现，即GRPS与SCZ的入院频率和慢性程度密切相关。此外，我们还发现男性和女性在预测准确性上存在显著差距。总之，我们的结果表明，GRPS的预测准确性取决于临床和人口统计学特征。
