Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia
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...
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doaj-2fc696159a4b4fa99fd14fdbb22ebc5f2020-11-25T03:20:14ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402020-06-011110.3389/fpsyt.2020.00313409476Chronicity and Sex Affect Genetic Risk Prediction in SchizophreniaSandra M. Meier0Anna K. Kähler1Sarah E. Bergen2Sarah E. Bergen3Patrick F. Sullivan4Patrick F. Sullivan5Christina M. Hultman6Manuel Mattheisen7Manuel Mattheisen8Manuel Mattheisen9Manuel Mattheisen10Department of Psychiatry, Dalhousie University, Halifax, NS, CanadaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, SwedenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, SwedenStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United StatesDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, SwedenDepartments of Psychiatry and Genetics, University of North Carolina, Chapel Hill, NC, United StatesDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, SwedenDepartment of Biomedicine, Aarhus University, Aarhus, DenmarkDepartment of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, SwedenStockholm Health Care Services, Stockholm County Council, Stockholm, SwedenDepartment of Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, GermanySchizophrenia (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.https://www.frontiersin.org/article/10.3389/fpsyt.2020.00313/fullschizophreniapolygenic risk scorepredictionsexcourse |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sandra M. Meier Anna K. Kähler Sarah E. Bergen Sarah E. Bergen Patrick F. Sullivan Patrick F. Sullivan Christina M. Hultman Manuel Mattheisen Manuel Mattheisen Manuel Mattheisen Manuel Mattheisen |
spellingShingle |
Sandra M. Meier Anna K. Kähler Sarah E. Bergen Sarah E. Bergen Patrick F. Sullivan Patrick F. Sullivan Christina M. Hultman Manuel Mattheisen Manuel Mattheisen Manuel Mattheisen Manuel Mattheisen Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia Frontiers in Psychiatry schizophrenia polygenic risk score prediction sex course |
author_facet |
Sandra M. Meier Anna K. Kähler Sarah E. Bergen Sarah E. Bergen Patrick F. Sullivan Patrick F. Sullivan Christina M. Hultman Manuel Mattheisen Manuel Mattheisen Manuel Mattheisen Manuel Mattheisen |
author_sort |
Sandra M. Meier |
title |
Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia |
title_short |
Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia |
title_full |
Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia |
title_fullStr |
Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia |
title_full_unstemmed |
Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia |
title_sort |
chronicity and sex affect genetic risk prediction in schizophrenia |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychiatry |
issn |
1664-0640 |
publishDate |
2020-06-01 |
description |
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. |
topic |
schizophrenia polygenic risk score prediction sex course |
url |
https://www.frontiersin.org/article/10.3389/fpsyt.2020.00313/full |
work_keys_str_mv |
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