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Combined polygenic risk scores of different psychiatric traits predict general and specific psychopathology in childhood.

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Title: Combined polygenic risk scores of different psychiatric traits predict general and specific psychopathology in childhood.
Authors: Neumann, Alexander, Jolicoeur‐Martineau, Alexia, Szekely, Eszter, Sallis, Hannah M., O'Donnel, Kieran, Greenwood, Celia M.T., Levitan, Robert, Meaney, Michael J., Wazana, Ashley, Evans, Jonathan, Tiemeier, Henning
Source: Journal of Child Psychology & Psychiatry. Jun2022, Vol. 63 Issue 6, p636-645. 10p. 1 Diagram, 4 Charts.
Subjects: Mental depression risk factors, Genetics, Neuroses, Cognition, Risk assessment, Behavior disorders in children, Pathological psychology, Mental illness, Phenotypes
Abstract: Background: Polygenic risk scores (PRSs) operationalize genetic propensity toward a particular mental disorder and hold promise as early predictors of psychopathology, but before a PRS can be used clinically, explanatory power must be increased and the specificity for a psychiatric domain established. To enable early detection, it is crucial to study these psychometric properties in childhood. We examined whether PRSs associate more with general or with specific psychopathology in school‐aged children. Additionally, we tested whether psychiatric PRSs can be combined into a multi‐PRS score for improved performance. Methods: We computed 16 PRSs based on GWASs of psychiatric phenotypes, but also neuroticism and cognitive ability, in mostly adult populations. Study participants were 9,247 school‐aged children from three population‐based cohorts of the DREAM‐BIG consortium: ALSPAC (UK), The Generation R Study (Netherlands), and MAVAN (Canada). We associated each PRS with general and specific psychopathology factors, derived from a bifactor model based on self‐report and parental, teacher, and observer reports. After fitting each PRS in separate models, we also tested a multi‐PRS model, in which all PRSs are entered simultaneously as predictors of the general psychopathology factor. Results: Seven PRSs were associated with the general psychopathology factor after multiple testing adjustment, two with specific externalizing and five with specific internalizing psychopathology. PRSs predicted general psychopathology independently of each other, with the exception of depression and depressive symptom PRSs. Most PRSs associated with a specific psychopathology domain, were also associated with general child psychopathology. Conclusions: The results suggest that PRSs based on current GWASs of psychiatric phenotypes tend to be associated with general psychopathology, or both general and specific psychiatric domains, but not with one specific psychopathology domain only. Furthermore, PRSs can be combined to improve predictive ability. PRS users should therefore be conscious of nonspecificity and consider using multiple PRSs simultaneously, when predicting psychiatric disorders. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Child Psychology & Psychiatry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Label: Title
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  Data: Combined polygenic risk scores of different psychiatric traits predict general and specific psychopathology in childhood.
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  Data: <searchLink fieldCode="AR" term="%22Neumann%2C+Alexander%22">Neumann, Alexander</searchLink><br /><searchLink fieldCode="AR" term="%22Jolicoeur‐Martineau%2C+Alexia%22">Jolicoeur‐Martineau, Alexia</searchLink><br /><searchLink fieldCode="AR" term="%22Szekely%2C+Eszter%22">Szekely, Eszter</searchLink><br /><searchLink fieldCode="AR" term="%22Sallis%2C+Hannah+M%2E%22">Sallis, Hannah M.</searchLink><br /><searchLink fieldCode="AR" term="%22O'Donnel%2C+Kieran%22">O'Donnel, Kieran</searchLink><br /><searchLink fieldCode="AR" term="%22Greenwood%2C+Celia+M%2ET%2E%22">Greenwood, Celia M.T.</searchLink><br /><searchLink fieldCode="AR" term="%22Levitan%2C+Robert%22">Levitan, Robert</searchLink><br /><searchLink fieldCode="AR" term="%22Meaney%2C+Michael+J%2E%22">Meaney, Michael J.</searchLink><br /><searchLink fieldCode="AR" term="%22Wazana%2C+Ashley%22">Wazana, Ashley</searchLink><br /><searchLink fieldCode="AR" term="%22Evans%2C+Jonathan%22">Evans, Jonathan</searchLink><br /><searchLink fieldCode="AR" term="%22Tiemeier%2C+Henning%22">Tiemeier, Henning</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Child+Psychology+%26+Psychiatry%22">Journal of Child Psychology & Psychiatry</searchLink>. Jun2022, Vol. 63 Issue 6, p636-645. 10p. 1 Diagram, 4 Charts.
– Name: Subject
  Label: Subjects
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  Data: <searchLink fieldCode="DE" term="%22Mental+depression+risk+factors%22">Mental depression risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Genetics%22">Genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Neuroses%22">Neuroses</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+disorders+in+children%22">Behavior disorders in children</searchLink><br /><searchLink fieldCode="DE" term="%22Pathological+psychology%22">Pathological psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+illness%22">Mental illness</searchLink><br /><searchLink fieldCode="DE" term="%22Phenotypes%22">Phenotypes</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Polygenic risk scores (PRSs) operationalize genetic propensity toward a particular mental disorder and hold promise as early predictors of psychopathology, but before a PRS can be used clinically, explanatory power must be increased and the specificity for a psychiatric domain established. To enable early detection, it is crucial to study these psychometric properties in childhood. We examined whether PRSs associate more with general or with specific psychopathology in school‐aged children. Additionally, we tested whether psychiatric PRSs can be combined into a multi‐PRS score for improved performance. Methods: We computed 16 PRSs based on GWASs of psychiatric phenotypes, but also neuroticism and cognitive ability, in mostly adult populations. Study participants were 9,247 school‐aged children from three population‐based cohorts of the DREAM‐BIG consortium: ALSPAC (UK), The Generation R Study (Netherlands), and MAVAN (Canada). We associated each PRS with general and specific psychopathology factors, derived from a bifactor model based on self‐report and parental, teacher, and observer reports. After fitting each PRS in separate models, we also tested a multi‐PRS model, in which all PRSs are entered simultaneously as predictors of the general psychopathology factor. Results: Seven PRSs were associated with the general psychopathology factor after multiple testing adjustment, two with specific externalizing and five with specific internalizing psychopathology. PRSs predicted general psychopathology independently of each other, with the exception of depression and depressive symptom PRSs. Most PRSs associated with a specific psychopathology domain, were also associated with general child psychopathology. Conclusions: The results suggest that PRSs based on current GWASs of psychiatric phenotypes tend to be associated with general psychopathology, or both general and specific psychiatric domains, but not with one specific psychopathology domain only. Furthermore, PRSs can be combined to improve predictive ability. PRS users should therefore be conscious of nonspecificity and consider using multiple PRSs simultaneously, when predicting psychiatric disorders. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Child Psychology & Psychiatry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/jcpp.13501
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 636
    Subjects:
      – SubjectFull: Mental depression risk factors
        Type: general
      – SubjectFull: Genetics
        Type: general
      – SubjectFull: Neuroses
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      – SubjectFull: Cognition
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      – SubjectFull: Risk assessment
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      – SubjectFull: Behavior disorders in children
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      – SubjectFull: Pathological psychology
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      – SubjectFull: Phenotypes
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      – TitleFull: Combined polygenic risk scores of different psychiatric traits predict general and specific psychopathology in childhood.
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              Text: Jun2022
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              Y: 2022
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