Adam Socrates, Jessye Maxwell, Kylie P Glanville, Marta Di Forti, Robin M Murray, Evangelos Vassos, Paul F O'Reilly
{"title":"研究精神分裂症的遗传风险对行为特征的影响。","authors":"Adam Socrates, Jessye Maxwell, Kylie P Glanville, Marta Di Forti, Robin M Murray, Evangelos Vassos, Paul F O'Reilly","doi":"10.1038/s41537-020-00131-2","DOIUrl":null,"url":null,"abstract":"<p><p>To characterise the trait-effects of increased genetic risk for schizophrenia, and highlight potential risk mediators, we test the association between schizophrenia polygenic risk scores (PRSs) and 529 behavioural traits (personality, psychological, lifestyle, nutritional) in the UK Biobank. Our primary analysis is performed on individuals aged 38-71 with no history of schizophrenia or related disorders, allowing us to report the effects of schizophrenia genetic risk in the sub-clinical general population. Higher schizophrenia PRSs were associated with a range of traits, including lower verbal-numerical reasoning (P = 6 × 10<sup>-61</sup>), higher nervous feelings (P = 1 × 10<sup>-46</sup>) and higher self-reported risk-taking (P = 3 × 10<sup>-38</sup>). We follow-up the risk-taking association, hypothesising that the association may be due to a genetic propensity for risk-taking leading to greater migration, urbanicity or drug-taking - reported environmental risk factors for schizophrenia, and all positively associated with risk-taking in these data. Next, to identify potential disorder or medication effects, we compare the PRS-trait associations in the general population to the trait values in 599 medicated and non-medicated individuals diagnosed with schizophrenia in the biobank. This analysis highlights, for example, levels of BMI, physical activity and risk-taking in cases in the opposite directions than expected from the PRS-trait associations in the general population. Our analyses offer simple yet potentially revealing insights into the possible causes of observed trait-disorder associations, which can complement approaches such as Mendelian Randomisation. While we urge caution in causal interpretations in PRS cross-trait studies that are highly powered to detect weak horizontal pleiotropy or population structure, we propose that well-designed polygenic score analyses have the potential to highlight modifiable risk factors that lie on the path between genetic risk and disorder.</p>","PeriodicalId":19328,"journal":{"name":"NPJ Schizophrenia","volume":" ","pages":"2"},"PeriodicalIF":5.7000,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822841/pdf/","citationCount":"0","resultStr":"{\"title\":\"Investigating the effects of genetic risk of schizophrenia on behavioural traits.\",\"authors\":\"Adam Socrates, Jessye Maxwell, Kylie P Glanville, Marta Di Forti, Robin M Murray, Evangelos Vassos, Paul F O'Reilly\",\"doi\":\"10.1038/s41537-020-00131-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>To characterise the trait-effects of increased genetic risk for schizophrenia, and highlight potential risk mediators, we test the association between schizophrenia polygenic risk scores (PRSs) and 529 behavioural traits (personality, psychological, lifestyle, nutritional) in the UK Biobank. Our primary analysis is performed on individuals aged 38-71 with no history of schizophrenia or related disorders, allowing us to report the effects of schizophrenia genetic risk in the sub-clinical general population. Higher schizophrenia PRSs were associated with a range of traits, including lower verbal-numerical reasoning (P = 6 × 10<sup>-61</sup>), higher nervous feelings (P = 1 × 10<sup>-46</sup>) and higher self-reported risk-taking (P = 3 × 10<sup>-38</sup>). We follow-up the risk-taking association, hypothesising that the association may be due to a genetic propensity for risk-taking leading to greater migration, urbanicity or drug-taking - reported environmental risk factors for schizophrenia, and all positively associated with risk-taking in these data. Next, to identify potential disorder or medication effects, we compare the PRS-trait associations in the general population to the trait values in 599 medicated and non-medicated individuals diagnosed with schizophrenia in the biobank. This analysis highlights, for example, levels of BMI, physical activity and risk-taking in cases in the opposite directions than expected from the PRS-trait associations in the general population. Our analyses offer simple yet potentially revealing insights into the possible causes of observed trait-disorder associations, which can complement approaches such as Mendelian Randomisation. 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Investigating the effects of genetic risk of schizophrenia on behavioural traits.
To characterise the trait-effects of increased genetic risk for schizophrenia, and highlight potential risk mediators, we test the association between schizophrenia polygenic risk scores (PRSs) and 529 behavioural traits (personality, psychological, lifestyle, nutritional) in the UK Biobank. Our primary analysis is performed on individuals aged 38-71 with no history of schizophrenia or related disorders, allowing us to report the effects of schizophrenia genetic risk in the sub-clinical general population. Higher schizophrenia PRSs were associated with a range of traits, including lower verbal-numerical reasoning (P = 6 × 10-61), higher nervous feelings (P = 1 × 10-46) and higher self-reported risk-taking (P = 3 × 10-38). We follow-up the risk-taking association, hypothesising that the association may be due to a genetic propensity for risk-taking leading to greater migration, urbanicity or drug-taking - reported environmental risk factors for schizophrenia, and all positively associated with risk-taking in these data. Next, to identify potential disorder or medication effects, we compare the PRS-trait associations in the general population to the trait values in 599 medicated and non-medicated individuals diagnosed with schizophrenia in the biobank. This analysis highlights, for example, levels of BMI, physical activity and risk-taking in cases in the opposite directions than expected from the PRS-trait associations in the general population. Our analyses offer simple yet potentially revealing insights into the possible causes of observed trait-disorder associations, which can complement approaches such as Mendelian Randomisation. While we urge caution in causal interpretations in PRS cross-trait studies that are highly powered to detect weak horizontal pleiotropy or population structure, we propose that well-designed polygenic score analyses have the potential to highlight modifiable risk factors that lie on the path between genetic risk and disorder.
期刊介绍:
npj Schizophrenia is an international, peer-reviewed journal that aims to publish high-quality original papers and review articles relevant to all aspects of schizophrenia and psychosis, from molecular and basic research through environmental or social research, to translational and treatment-related topics. npj Schizophrenia publishes papers on the broad psychosis spectrum including affective psychosis, bipolar disorder, the at-risk mental state, psychotic symptoms, and overlap between psychotic and other disorders.