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Schizophrenia and risk preference: a bidirectional two-sample mendelian randomization study.

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Title: Schizophrenia and risk preference: a bidirectional two-sample mendelian randomization study.
Authors: Zhao, Yixin (AUTHOR), Guo, Weilong (AUTHOR), Zhou, Jiansong (AUTHOR), Wang, Xiaoping (AUTHOR)
Source: European Archives of Psychiatry & Clinical Neuroscience. Apr2025, Vol. 275 Issue 3, p885-891. 7p.
Subjects: Schizophrenia, Risk aversion, Behavior genetics, Genetic pleiotropy, Causal models, Genome-wide association studies, Causal inference
Abstract: Increasing evidence shows that risk preference is associated with schizophrenia. However, the causality and direction of this association are not clear; Therefore, we used Mendelian randomization (MR) to examine the potential bidirectional relationship between risk preference and schizophrenia. Genome-wide association studies (GWAS) summary data on risk preference of 939,908 participants from the UK Biobank and 23andMe were used to identify general risk preference. Data from 320,404 subjects (76,755 cases and 243,649 controls) from The Psychiatric Genomics Consortium were used to identify schizophrenia. The weighted median (WM), the inverse variance weighted (IVW), and the Mendelian randomization-Egger (MR-Egger) methods were used for the MR analysis to estimate the causal effect and detect the directional pleiotropy. The GWAS summary data were respectively from two combined samples, containing 939,908 and 320,404 subjects of European ancestry. Mendelian randomization evidence suggested that risk preference was associated with increased onset of schizophrenia (OR = 2.84, 95CI%: 1.77–4.56, P = 1.58*10 − 5) and that schizophrenia was also associated with raised risk preference (OR = 1.11, 95CI%: 1.07–1.15, P = 7.98*10 − 8). With the use of large-scale GWAS data, robust evidence suggests an interaction between risk preference and schizophrenia. This also indicates that early identification of and intervention for increased risk preference may improve the prognosis of schizophrenia. [ABSTRACT FROM AUTHOR]
Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature 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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  Data: Schizophrenia and risk preference: a bidirectional two-sample mendelian randomization study.
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  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Yixin%22">Zhao, Yixin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Weilong%22">Guo, Weilong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Jiansong%22">Zhou, Jiansong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xiaoping%22">Wang, Xiaoping</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Archives+of+Psychiatry+%26+Clinical+Neuroscience%22">European Archives of Psychiatry & Clinical Neuroscience</searchLink>. Apr2025, Vol. 275 Issue 3, p885-891. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Schizophrenia%22">Schizophrenia</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+aversion%22">Risk aversion</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+genetics%22">Behavior genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+pleiotropy%22">Genetic pleiotropy</searchLink><br /><searchLink fieldCode="DE" term="%22Causal+models%22">Causal models</searchLink><br /><searchLink fieldCode="DE" term="%22Genome-wide+association+studies%22">Genome-wide association studies</searchLink><br /><searchLink fieldCode="DE" term="%22Causal+inference%22">Causal inference</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Increasing evidence shows that risk preference is associated with schizophrenia. However, the causality and direction of this association are not clear; Therefore, we used Mendelian randomization (MR) to examine the potential bidirectional relationship between risk preference and schizophrenia. Genome-wide association studies (GWAS) summary data on risk preference of 939,908 participants from the UK Biobank and 23andMe were used to identify general risk preference. Data from 320,404 subjects (76,755 cases and 243,649 controls) from The Psychiatric Genomics Consortium were used to identify schizophrenia. The weighted median (WM), the inverse variance weighted (IVW), and the Mendelian randomization-Egger (MR-Egger) methods were used for the MR analysis to estimate the causal effect and detect the directional pleiotropy. The GWAS summary data were respectively from two combined samples, containing 939,908 and 320,404 subjects of European ancestry. Mendelian randomization evidence suggested that risk preference was associated with increased onset of schizophrenia (OR = 2.84, 95CI%: 1.77–4.56, P = 1.58*10 − 5) and that schizophrenia was also associated with raised risk preference (OR = 1.11, 95CI%: 1.07–1.15, P = 7.98*10 − 8). With the use of large-scale GWAS data, robust evidence suggests an interaction between risk preference and schizophrenia. This also indicates that early identification of and intervention for increased risk preference may improve the prognosis of schizophrenia. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature 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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              Text: Apr2025
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