An epigenome-wide association study meta-analysis of educational attainment

dc.contributor.authorLinner RK
dc.contributor.authorMarioni RE
dc.contributor.authorRietveld CA
dc.contributor.authorSimpkin AJ
dc.contributor.authorDavies NM
dc.contributor.authorWatanabe K
dc.contributor.authorArmstrong NJ
dc.contributor.authorAuro K
dc.contributor.authorBaumbach C
dc.contributor.authorBonder MJ
dc.contributor.authorBuchwald J
dc.contributor.authorFiorito G
dc.contributor.authorIsmail K
dc.contributor.authorIurato S
dc.contributor.authorJoensuu A
dc.contributor.authorKarell P
dc.contributor.authorKasela S
dc.contributor.authorLahti J
dc.contributor.authorMcrae AF
dc.contributor.authorMandaviya PR
dc.contributor.authorSeppälä I
dc.contributor.authorWang Y
dc.contributor.authorBaglietto L
dc.contributor.authorBinder EB
dc.contributor.authorHarris SE
dc.contributor.authorHodge AM
dc.contributor.authorHorvath S
dc.contributor.authorHurme M
dc.contributor.authorJohannesson M
dc.contributor.authorLatvala A
dc.contributor.authorMather KA
dc.contributor.authorMedland SE
dc.contributor.authorMetspalu A
dc.contributor.authorMilani L
dc.contributor.authorMilne RL
dc.contributor.authorPattie A
dc.contributor.authorPedersen NL
dc.contributor.authorPeters A
dc.contributor.authorPolidoro S
dc.contributor.authorRäikkönen K
dc.contributor.authorSeveri G
dc.contributor.authorStarr JM
dc.contributor.authorStolk L
dc.contributor.authorWaldenberger M
dc.contributor.authorEriksson JG
dc.contributor.authorEsko T
dc.contributor.authorFranke L
dc.contributor.authorGieger C
dc.contributor.authorGiles GG
dc.contributor.authorHagg S
dc.contributor.authorJousilahti P
dc.contributor.authorKaprio J
dc.contributor.authorKähönen M
dc.contributor.authorLehtimäki T
dc.contributor.authorMartin NG
dc.contributor.authorvan Meurs JBC
dc.contributor.authorOllikainen M
dc.contributor.authorPerola M
dc.contributor.authorPosthuma D
dc.contributor.authorRaitakari OT
dc.contributor.authorSachdev PS
dc.contributor.authorTaskesen E
dc.contributor.authorUitterlinden AG
dc.contributor.authorVineis P
dc.contributor.authorWijmenga C
dc.contributor.authorWright MJ
dc.contributor.authorRelton C
dc.contributor.authorSmith GD
dc.contributor.authorDeary IJ
dc.contributor.authorKoellinger PD
dc.contributor.authorBenjamin DJ
dc.contributor.organizationfi=sydäntutkimuskeskus|en=Cardiovascular Medicine (CAPC)|
dc.contributor.organization-code1.2.246.10.2458963.20.35734063924
dc.converis.publication-id27849463
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/27849463
dc.date.accessioned2025-08-28T03:09:37Z
dc.date.available2025-08-28T03:09:37Z
dc.description.abstractThe epigenome is associated with biological factors, such as disease status, and environmental factors, such as smoking, alcohol consumption and body mass index. Although there is a widespread perception that environmental influences on the epigenome are pervasive and profound, there has been little evidence to date in humans with respect to environmental factors that are biologically distal. Here we provide evidence on the associations between epigenetic modifications-in our case, CpG methylation -and educational attainment (EA), a biologically distal environmental factor that is arguably among the most important life-shaping experiences for individuals. Specifically, we report the results of an epigenome-wide association study meta-analysis of EA based on data from 27 cohort studies with a total of 10 767 individuals. We find nine CpG probes significantly associated with EA. However, robustness analyses show that all nine probes have previously been found to be associated with smoking. Only two associations remain when we perform a sensitivity analysis in the subset of never-smokers, and these two probes are known to be strongly associated with maternal smoking during pregnancy, and thus their association with EA could be due to correlation between EA and maternal smoking. Moreover, the effect sizes of the associations with EA are far smaller than the known associations with the biologically proximal environmental factors alcohol consumption, body mass index, smoking and maternal smoking during pregnancy. Follow-up analyses that combine the effects of many probes also point to small methylation associations with EA that are highly correlated with the combined effects of smoking. If our findings regarding EA can be generalized to other biologically distal environmental factors, then they cast doubt on the hypothesis that such factors have large effects on the epigenome.
dc.format.pagerange1690
dc.identifier.eissn1476-5578
dc.identifier.jour-issn1359-4184
dc.identifier.olddbid210289
dc.identifier.oldhandle10024/193316
dc.identifier.urihttps://www.utupub.fi/handle/11111/51182
dc.identifier.urlhttp://www.nature.com/articles/mp2017210
dc.identifier.urnURN:NBN:fi-fe2021042717711
dc.language.isoen
dc.okm.affiliatedauthorRaitakari, Olli
dc.okm.discipline3121 Internal medicineen_GB
dc.okm.discipline3121 Sisätauditfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherNATURE PUBLISHING GROUP
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.doi10.1038/mp.2017.210
dc.relation.ispartofjournalMolecular Psychiatry
dc.relation.issue12
dc.relation.volume22
dc.source.identifierhttps://www.utupub.fi/handle/10024/193316
dc.titleAn epigenome-wide association study meta-analysis of educational attainment
dc.year.issued2017

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