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Polygenic Risk Scores for Subtyping of Schizophrenia
Joint Authors
Chen, Jingchun
Mize, Travis
Wu, Jain-Shing
Hong, Elliot
Nimgaonkar, Vishwajit
Kendler, Kenneth S.
Allen, Daniel
Oh, Edwin
Netski, Alison
Chen, Xiangning
Source
Schizophrenia Research and Treatment
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Schizophrenia is a complex disorder with many comorbid conditions.
In this study, we used polygenic risk scores (PRSs) from schizophrenia and comorbid traits to explore consistent cluster structure in schizophrenia patients.
With 10 comorbid traits, we found a stable 4-cluster structure in two datasets (MGS and SSCCS).
When the same traits and parameters were applied for the patients in a clinical trial of antipsychotics, the CATIE study, a 5-cluster structure was observed.
One of the 4 clusters found in the MGS and SSCCS was further split into two clusters in CATIE, while the other 3 clusters remained unchanged.
For the 5 CATIE clusters, we evaluated their association with the changes of clinical symptoms, neurocognitive functions, and laboratory tests between the enrollment baseline and the end of Phase I trial.
Class I was found responsive to treatment, with significant reduction for the total, positive, and negative symptoms (p=0.0001, 0.0099, and 0.0028, respectively), and improvement for cognitive functions (VIGILANCE, p=0.0099; PROCESSING SPEED, p=0.0006; WORKING MEMORY, p=0.0023; and REASONING, p=0.0015).
Class II had modest reduction of positive symptoms (p=0.0492) and better PROCESSING SPEED (p=0.0071).
Class IV had a specific reduction of negative symptoms (p=0.0111) and modest cognitive improvement for all tested domains.
Interestingly, Class IV was also associated with decreased lymphocyte counts and increased neutrophil counts, an indication of ongoing inflammation or immune dysfunction.
In contrast, Classes III and V showed no symptom reduction but a higher level of phosphorus.
Overall, our results suggest that PRSs from schizophrenia and comorbid traits can be utilized to classify patients into subtypes with distinctive clinical features.
This genetic susceptibility based subtyping may be useful to facilitate more effective treatment and outcome prediction.
American Psychological Association (APA)
Chen, Jingchun& Mize, Travis& Wu, Jain-Shing& Hong, Elliot& Nimgaonkar, Vishwajit& Kendler, Kenneth S.…[et al.]. 2020. Polygenic Risk Scores for Subtyping of Schizophrenia. Schizophrenia Research and Treatment،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1207536
Modern Language Association (MLA)
Chen, Jingchun…[et al.]. Polygenic Risk Scores for Subtyping of Schizophrenia. Schizophrenia Research and Treatment No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1207536
American Medical Association (AMA)
Chen, Jingchun& Mize, Travis& Wu, Jain-Shing& Hong, Elliot& Nimgaonkar, Vishwajit& Kendler, Kenneth S.…[et al.]. Polygenic Risk Scores for Subtyping of Schizophrenia. Schizophrenia Research and Treatment. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1207536
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207536