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Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders

Understanding whether and how the schizophrenia polygenic risk score (SZ PRS) predicts course of illness could improve diagnosis and prognostication in psychotic disorders. We tested whether the SZ PRS predicts symptoms, cognition, illness severity, and diagnostic changes over the 20 years following...

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Autores principales: Jonas, Katherine G., Lencz, Todd, Li, Kaiqiao, Malhotra, Anil K., Perlman, Greg, Fochtmann, Laura J., Bromet, Evelyn J., Kotov, Roman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856168/
https://www.ncbi.nlm.nih.gov/pubmed/31727878
http://dx.doi.org/10.1038/s41398-019-0612-5
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author Jonas, Katherine G.
Lencz, Todd
Li, Kaiqiao
Malhotra, Anil K.
Perlman, Greg
Fochtmann, Laura J.
Bromet, Evelyn J.
Kotov, Roman
author_facet Jonas, Katherine G.
Lencz, Todd
Li, Kaiqiao
Malhotra, Anil K.
Perlman, Greg
Fochtmann, Laura J.
Bromet, Evelyn J.
Kotov, Roman
author_sort Jonas, Katherine G.
collection PubMed
description Understanding whether and how the schizophrenia polygenic risk score (SZ PRS) predicts course of illness could improve diagnosis and prognostication in psychotic disorders. We tested whether the SZ PRS predicts symptoms, cognition, illness severity, and diagnostic changes over the 20 years following first admission. The Suffolk County Mental Health Project is an inception cohort study of first-admission patients with psychosis. Patients were assessed six times over 20 years, and 249 provided DNA. Geographically- and demographically-matched never psychotic adults were recruited at year 20, and 205 provided DNA. Symptoms were rated using the Schedule for the Assessment of Positive Symptoms and Schedule for the Assessment of Negative Symptoms. Cognition was evaluated with a comprehensive neuropsychological battery. Illness severity and diagnosis were determined by consensus of study psychiatrists. SZ PRS was significantly higher in first-admission than never psychotic groups. Within the psychosis cohort, the SZ PRS predicted more severe negative symptoms (β = 0.21), greater illness severity (β = 0.28), and worse cognition (β = −0.35), across the follow-up. The SZ PRS was the strongest predictor of diagnostic shifts from affective to non-affective psychosis over the 20 years (AUC = 0.62). The SZ PRS predicts persistent differences in cognition and negative symptoms. The SZ PRS also predicts who among those who appear to have a mood disorder with psychosis at first admission will ultimately be diagnosed with a schizophrenia spectrum disorder. These findings show potential for the SZ PRS to become a tool for diagnosis and treatment planning.
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spelling pubmed-68561682019-11-21 Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders Jonas, Katherine G. Lencz, Todd Li, Kaiqiao Malhotra, Anil K. Perlman, Greg Fochtmann, Laura J. Bromet, Evelyn J. Kotov, Roman Transl Psychiatry Article Understanding whether and how the schizophrenia polygenic risk score (SZ PRS) predicts course of illness could improve diagnosis and prognostication in psychotic disorders. We tested whether the SZ PRS predicts symptoms, cognition, illness severity, and diagnostic changes over the 20 years following first admission. The Suffolk County Mental Health Project is an inception cohort study of first-admission patients with psychosis. Patients were assessed six times over 20 years, and 249 provided DNA. Geographically- and demographically-matched never psychotic adults were recruited at year 20, and 205 provided DNA. Symptoms were rated using the Schedule for the Assessment of Positive Symptoms and Schedule for the Assessment of Negative Symptoms. Cognition was evaluated with a comprehensive neuropsychological battery. Illness severity and diagnosis were determined by consensus of study psychiatrists. SZ PRS was significantly higher in first-admission than never psychotic groups. Within the psychosis cohort, the SZ PRS predicted more severe negative symptoms (β = 0.21), greater illness severity (β = 0.28), and worse cognition (β = −0.35), across the follow-up. The SZ PRS was the strongest predictor of diagnostic shifts from affective to non-affective psychosis over the 20 years (AUC = 0.62). The SZ PRS predicts persistent differences in cognition and negative symptoms. The SZ PRS also predicts who among those who appear to have a mood disorder with psychosis at first admission will ultimately be diagnosed with a schizophrenia spectrum disorder. These findings show potential for the SZ PRS to become a tool for diagnosis and treatment planning. Nature Publishing Group UK 2019-11-14 /pmc/articles/PMC6856168/ /pubmed/31727878 http://dx.doi.org/10.1038/s41398-019-0612-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jonas, Katherine G.
Lencz, Todd
Li, Kaiqiao
Malhotra, Anil K.
Perlman, Greg
Fochtmann, Laura J.
Bromet, Evelyn J.
Kotov, Roman
Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders
title Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders
title_full Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders
title_fullStr Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders
title_full_unstemmed Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders
title_short Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders
title_sort schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856168/
https://www.ncbi.nlm.nih.gov/pubmed/31727878
http://dx.doi.org/10.1038/s41398-019-0612-5
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