@article{MeierKaehlerBergenetal.2020,
  author    = {Meier, Sandra M. and K{\"a}hler, Anna K. and Bergen, Sarah E. and Sullivan, Patrick F. and Hultman, Christina M. and Mattheisen, Manuel},
  title     = {Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia},
  series = {Frontiers in Psychiatry},
  volume    = {11},
  journal   = {Frontiers in Psychiatry},
  issn      = {1664-0640},
  doi       = {10.3389/fpsyt.2020.00313},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-205677},
  year      = {2020},
  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.},
  language  = {en}
}