A multivariable Mendelian randomization to appraise the pleiotropy between intelligence, education, and bipolar disorder in relation to schizophrenia

Adams, Charleen D.

doi:10.1038/s41598-020-63104-6

Cited by 15 publications

(12 citation statements)

References 42 publications

(55 reference statements)

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“…risk exposures such as trauma). Contrasting our findings, previous MR estimates using earlier schizophrenia GWASs hint at an increased risk for schizophrenia per additional year of education 26,28 , as we found for anorexia, OCD, and bipolar disorder.…”

Section: Schizophreniacontrasting

confidence: 99%

Evaluating the causal relationship between educational attainment and mental health

Demange

Boomsma

Bergen

et al. 2023

Preprint

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We investigate the causal relationship between educational attainment (EA) and mental health using two research designs. First, we compare the relationship between EA and seventeen psychiatric diagnoses within sibship in Dutch national registry data (N = 1.7 million), controlling for unmeasured familial factors. Second, we use two-sample Mendelian Randomization, which uses genetic variants related to EA or psychiatric diagnosis as instrumental variables, to test whether there is a causal relation in either direction. Our results suggest that lower levels of EA causally increase the risk of MDD, ADHD, alcohol dependence, GAD and PTSD diagnoses. We also find evidence of a causal effect in the opposite direction for ADHD. Additionally, we find inconsistent results for schizophrenia, anorexia nervosa, OCD, and bipolar disorder, highlighting the importance of using multiple research designs to understand the complex relationship between EA and mental health.

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Section: Schizophreniacontrasting

confidence: 99%

Evaluating the causal relationship between educational attainment and mental health

Demange

Boomsma

Bergen

et al. 2023

Preprint

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“…To some extent, driving speed reflects intelligence and cognitive status [ 71 , 72 ]. Previous MR study has reported that higher intelligence was causally associated with lower SCZ risk [ 73 ]. The observed association between automobile speeding propensity and SCZ risk might be mediated with intelligence.…”

Section: Discussionmentioning

confidence: 99%

Socioeconomic status, individual behaviors and risk for mental disorders: A Mendelian randomization study

et al. 2022

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Background There is increasing attention on the association of socioeconomic status and individual behaviors (SES/IB) with mental health. However, the impacts of SES/IB on mental disorders are still unclear. To provide evidence for establishing feasible strategies on disease screening and prevention, we implemented Mendelian randomization (MR) design to appraise causality between SES/IB and mental disorders. Methods We conducted a two-sample MR study to assess the causal effects of SES and IB (dietary habits, habitual physical activity, smoking behaviors, drinking behaviors, sleeping behaviors, leisure sedentary behaviors, risky behaviors, and reproductive behaviors) on three mental disorders, including bipolar disorder, major depressive disorder and schizophrenia. A series of filtering steps were taken to select eligible genetic instruments robustly associated with each of the traits. Inverse variance weighted was used for primary analysis, with alternative MR methods including MR-Egger, weighted median, and weighted mode estimate. Complementary methods were further used to detect pleiotropic bias. Results After Bonferroni correction and rigorous quality control, we identified that SES (educational attainment), smoking behaviors (smoking initiation, number of cigarettes per day), risky behaviors (adventurousness, number of sexual partners, automobile speeding propensity) and reproductive behavior (age at first birth) were causally associated with at least one of the mental disorders. Conclusions MR study provides robust evidence that SES/IB play broad impacts on mental disorders.

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“…It is also in line with studies using genetically informed methods, finding positive associations between polygenic risk for educational attainment and schizophrenia, 27 although other studies have reported associations in the opposite direction. 28 In order to further elucidate this issue, causal inference methods such as Mendelian randomization have been applied, shedding more light on the complex relation between educational attainment, schizophrenia and intelligence, 29 , 30 although without reaching a final conclusion.…”

Section: Discussionmentioning

confidence: 99%

Educational attainment and mortality in schizophrenia

Tesli

Degerud

Plana‐Ripoll

et al. 2022

Acta Psychiatr Scand

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Background: Individuals suffering from schizophrenia have a reduced life expectancy with cardiovascular disease (CVD) as a major contributor. Low educational attainment is associated with schizophrenia, as well as with all-cause and CVD mortality. However, it is unknown to what extent low educational attainment can explain the increased mortality in individuals with schizophrenia. Aim: Here, we quantify associations between educational attainment and allcause and CVD mortality in individuals with schizophrenia, and compare them with the corresponding associations in the general population.

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A multivariable Mendelian randomization to appraise the pleiotropy between intelligence, education, and bipolar disorder in relation to schizophrenia

Abstract: MR-egger intercept. While inverse-variance weighted (IVW) column provides the main MR results in

Cited by 15 publications

References 42 publications

Evaluating the causal relationship between educational attainment and mental health

Evaluating the causal relationship between educational attainment and mental health

Socioeconomic status, individual behaviors and risk for mental disorders: A Mendelian randomization study

Educational attainment and mortality in schizophrenia

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