Use of multiple Polygenic Risk Scores for distinguishing Schizophrenia-spectrum disorder and Affective psychosis categories; the EUGEI study Article Swipe
Victoria Rodríguez
,
Luis Alameda
,
Diego Quattrone
,
Giada Tripoli
,
Charlotte Gayer‐Anderson
,
Edoardo Spinazzola
,
Giulia Trotta
,
Hannah E. Jongsma
,
Simona A. Stilo
,
Caterina La Cascia
,
Laura Ferraro
,
Daniele La Barbera
,
Antonio Lasalvia
,
Sarah Tosato
,
Ilaria Tarricone
,
Elena Bonora
,
Stéphane Jamain
,
Jean‐Paul Selten
,
Eva Velthorst
,
Lieuwe de Haan
,
Pierre‐Michel Llorca
,
Manuel Arrojo
,
Julio Bobes
,
Miquel Bernardo
,
Celso Arango
,
James B. Kirkbride
,
Peter B. Jones
,
Bart P. F. Rutten
,
Alexander Richards
,
Pak C. Sham
,
Michael O’Donovan
,
Jim van Os
,
Craig Morgan
,
Marta Di Forti
,
Robin Murray
,
Evangelos Vassos
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1101/2021.03.31.21254574
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1101/2021.03.31.21254574
Schizophrenia (SZ), Bipolar Disorder (BD) and Depression (D) run in families. This susceptibility is partly due to hundreds or thousands of common genetic variants, each conferring a fractional risk. The cumulative effects of the associated variants can be summarised as a polygenic risk score (PRS). Using data from the EUGEI case-control study, we aimed to test whether PRSs for three major psychiatric disorders (SZ, BD, D) and for intelligent quotient (IQ) as a neurodevelopmental proxy, can discriminate affective psychosis (AP) from schizophrenia-spectrum disorder (SSD). Participants (573 cases, 1005 controls) of european ancestry from 17 sites as part of the EUGEI study were successfully genotyped following standard quality control procedures. Using standardised PRS for SZ, BD, D, and IQ built from the latest available summary statistics, we performed simple or multinomial logistic regression models adjusted for 10 principal components for the different clinical comparisons. In case-control comparisons PRS-SZ, PRS-BD and PRS-D distributed differentially across psychotic subcategories. In case-case comparison, both PRS-SZ (OR=0.7, 95 %CI 0.53-0.92) and PRS-D (OR=1.29, 95%CI 1.05-1.6) differentiated global AP from SSD; and within AP categories, only PRS-SZ differentiated BD from psychotic depression (OR=2.38, 95%CI 1.32-4.29). Combining PRS for severe psychiatric disorders in prediction models for psychosis phenotypes can increase discriminative ability and improve our understanding of these phenotypes. Our results point towards potential usefulness of PRSs for diagnostic prediction in specific populations such as high-risk or early psychosis phases.
Related Topics
Concepts
Bipolar disorder
Schizophrenia (object-oriented programming)
Psychosis
Psychiatry
Clinical psychology
Medicine
Polygenic risk score
Psychology
Depression (economics)
Single-nucleotide polymorphism
Cognition
Genotype
Biology
Genetics
Gene
Economics
Macroeconomics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2021.03.31.21254574
- https://www.medrxiv.org/content/medrxiv/early/2021/04/05/2021.03.31.21254574.full.pdf
- OA Status
- green
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3139645232
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3139645232Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2021.03.31.21254574Digital Object Identifier
- Title
-
Use of multiple Polygenic Risk Scores for distinguishing Schizophrenia-spectrum disorder and Affective psychosis categories; the EUGEI studyWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-04-05Full publication date if available
- Authors
-
Victoria Rodríguez, Luis Alameda, Diego Quattrone, Giada Tripoli, Charlotte Gayer‐Anderson, Edoardo Spinazzola, Giulia Trotta, Hannah E. Jongsma, Simona A. Stilo, Caterina La Cascia, Laura Ferraro, Daniele La Barbera, Antonio Lasalvia, Sarah Tosato, Ilaria Tarricone, Elena Bonora, Stéphane Jamain, Jean‐Paul Selten, Eva Velthorst, Lieuwe de Haan, Pierre‐Michel Llorca, Manuel Arrojo, Julio Bobes, Miquel Bernardo, Celso Arango, James B. Kirkbride, Peter B. Jones, Bart P. F. Rutten, Alexander Richards, Pak C. Sham, Michael O’Donovan, Jim van Os, Craig Morgan, Marta Di Forti, Robin Murray, Evangelos VassosList of authors in order
- Landing page
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https://doi.org/10.1101/2021.03.31.21254574Publisher landing page
- PDF URL
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https://www.medrxiv.org/content/medrxiv/early/2021/04/05/2021.03.31.21254574.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.medrxiv.org/content/medrxiv/early/2021/04/05/2021.03.31.21254574.full.pdfDirect OA link when available
- Concepts
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Bipolar disorder, Schizophrenia (object-oriented programming), Psychosis, Psychiatry, Clinical psychology, Medicine, Polygenic risk score, Psychology, Depression (economics), Single-nucleotide polymorphism, Cognition, Genotype, Biology, Genetics, Gene, Economics, MacroeconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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45Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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