Educational attainment and psychiatric diagnoses: a national registry data and two-sample Mendelian randomization study

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Abstract

We investigate the causal relationship between educational attainment (EA) and mental health conditions using two research designs. Here we first compare the relationship between EA and 18 psychiatric diagnoses within-sibship in Dutch national registry data (N = 1.7 million), thereby controlling for unmeasured familial factors. Second, we apply 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 major depressive disorder, attention-deficit/hyperactivity disorder, alcohol dependence, generalized anxiety disorder and post-traumatic stress disorder diagnoses. We also find evidence of a causal effect of attention-deficit/hyperactivity disorder on EA. For schizophrenia, anorexia nervosa, obsessive–compulsive disorder and bipolar disorder, the results were inconsistent across the different approaches, highlighting the importance of using multiple research designs to understand complex relationships, such as between EA and mental health conditions.
Original languageEnglish
Article number6018
Pages (from-to)668–679
Number of pages12
JournalNature Mental Health
Volume2
Issue number6
Early online date2 May 2024
DOIs
Publication statusPublished - Jun 2024

Funding

We thank the Open Data Infrastructure for Social Science and Economic Innovation (ODISSEI: https://ror.org/03m8v6t10) for financing access to Statistics Netherlands microdata via a microdata access grant awarded to P.A.D. and a member discount. P.A.D. is supported by the grant 531003014 from The Netherlands Organisation for Health Research and Development (ZonMW) and by the European Union (Grant agreement No. 101045526). Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. D.I.B. is supported by the Royal Netherlands Academy of Science Professor Award (PAH/6635). E.v.B. is supported by ZonMW grant 531003014 and VENI grant 451-15-017. M.G.N. is supported by R01MH120219, ZonMW grants 849200011 and 531003014 from the Netherlands Organisation for Health Research and Development and a VENI grant awarded by the Dutch Research Council (NWO; VI.Veni.191G.030) and is a Jacobs Foundation Research Fellow. We thank the research participants and employees of 23andMe, Inc. for making this work possible.

FundersFunder number
European Research Council Executive Agency
Jacobs Foundation
ZonMw
European Commission101045526
Nederlandse Organisatie voor Wetenschappelijk OnderzoekVI.Veni.191G.030, 451-15-017
Royal Netherlands Academy of SciencePAH/6635, R01MH120219, 849200011

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