000294921 001__ 294921 000294921 005__ 20250411144333.0 000294921 0247_ $$2doi$$a10.1136/jech-2024-222734 000294921 0247_ $$2pmid$$apmid:39658133 000294921 0247_ $$2ISSN$$a0143-005X 000294921 0247_ $$2ISSN$$a0141-7681 000294921 0247_ $$2ISSN$$a0142-467X 000294921 0247_ $$2ISSN$$a1470-2738 000294921 0247_ $$2ISSN$$a2633-9196 000294921 0247_ $$2altmetric$$aaltmetric:171915493 000294921 037__ $$aDKFZ-2024-02628 000294921 041__ $$aEnglish 000294921 082__ $$a610 000294921 1001_ $$00000-0002-0287-7979$$aMacciotta, Alessandra$$b0 000294921 245__ $$aExamining causal relationships between educational attainment and type 2 diabetes using genetic analysis: findings from the EPIC-InterAct study through Mendelian randomisation. 000294921 260__ $$aLondon$$bBMJ Publ. Group$$c2025 000294921 3367_ $$2DRIVER$$aarticle 000294921 3367_ $$2DataCite$$aOutput Types/Journal article 000294921 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1744375358_26757 000294921 3367_ $$2BibTeX$$aARTICLE 000294921 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000294921 3367_ $$00$$2EndNote$$aJournal Article 000294921 500__ $$a2025 Apr 10;79(5):373-379 000294921 520__ $$aObservational studies have shown that more educated people are at lower risk of developing type 2 diabetes (T2D). However, robust study designs are needed to investigate the likelihood that such a relationship is causal. This study used genetic instruments for education to estimate the effect of education on T2D using the Mendelian randomisation (MR) approach.Analyses have been conducted in the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct study (more than 20 000 individuals), a case-cohort study of T2D nested in the EPIC cohort. Education was measured as Years of Education and Relative Index of Inequality. Prentice-weighted Cox models were performed to estimate the association between education and T2D. One-sample MR analyses investigated whether genetic predisposition towards longer education was associated with risk of T2D and investigated potential mediators of the association.MR estimates indicated a risk reduction of about 15% for each year of longer education on the risk of developing T2D, confirming the protective role estimated by observational models (HR 0.96, 95% CI 0.95 to 0.96). MR analyses on putative mediators showed a significant role of education on body mass index, alcohol consumption, adherence to the Mediterranean diet and smoking habits.The results supported the hypothesis that higher education is a protective factor for the risk of developing T2D. Based on its position in the causal chain, education may be antecedent of other known risk factors for T2D including unhealthy behaviours. These findings reinforce evidence obtained through observational study designs and bridge the gap between correlation and causation. 000294921 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0 000294921 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de 000294921 650_7 $$2Other$$aDIABETES MELLITUS 000294921 650_7 $$2Other$$aEDUCATION 000294921 650_7 $$2Other$$aMENDELIAN RANDOMIZATION ANALYSIS 000294921 7001_ $$aSacerdote, Carlotta$$b1 000294921 7001_ $$aGiachino, Claudia$$b2 000294921 7001_ $$aDi Girolamo, Chiara$$b3 000294921 7001_ $$aFranco, Matteo$$b4 000294921 7001_ $$avan der Schouw, Yvonne T$$b5 000294921 7001_ $$aZamora-Ros, Raul$$b6 000294921 7001_ $$aWeiderpass, Elisabete$$b7 000294921 7001_ $$aDomenighetti, Cloé$$b8 000294921 7001_ $$00000-0001-9724-5490$$aElbaz, Alexis$$b9 000294921 7001_ $$aTruong, Thérèse$$b10 000294921 7001_ $$aAgnoli, Claudia$$b11 000294921 7001_ $$aBendinelli, Benedetta$$b12 000294921 7001_ $$aPanico, Salvatore$$b13 000294921 7001_ $$00000-0001-8935-4566$$aVineis, Paolo$$b14 000294921 7001_ $$aChristakoudi, Sofia$$b15 000294921 7001_ $$aSchulze, Matthias B$$b16 000294921 7001_ $$0P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aKatzke, Verena$$b17$$udkfz 000294921 7001_ $$0P:(DE-He78)0b48ce513fe49013263657450a12f870$$aBajracharya, Rashmita$$b18$$udkfz 000294921 7001_ $$aDahm, Christina C$$b19 000294921 7001_ $$aDalton, Susanne Oksbjerg$$b20 000294921 7001_ $$aColorado-Yohar, Sandra M$$b21 000294921 7001_ $$aMoreno-Iribas, Conchi$$b22 000294921 7001_ $$aEtxezarreta, Pilar Amiano$$b23 000294921 7001_ $$aSanchez, María José$$b24 000294921 7001_ $$aForouhi, Nita G$$b25 000294921 7001_ $$aWareham, Nicholas$$b26 000294921 7001_ $$00000-0001-8749-9737$$aRicceri, Fulvio$$b27 000294921 773__ $$0PERI:(DE-600)2015405-7$$a10.1136/jech-2024-222734$$gp. jech-2024-222734 -$$n5$$p373-379$$tJournal of epidemiology and community health$$v79$$x0143-005X$$y2025 000294921 909CO $$ooai:inrepo02.dkfz.de:294921$$pVDB 000294921 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aDeutsches Krebsforschungszentrum$$b17$$kDKFZ 000294921 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)0b48ce513fe49013263657450a12f870$$aDeutsches Krebsforschungszentrum$$b18$$kDKFZ 000294921 9131_ $$0G:(DE-HGF)POF4-313$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vKrebsrisikofaktoren und Prävention$$x0 000294921 9141_ $$y2024 000294921 915__ $$0StatID:(DE-HGF)0430$$2StatID$$aNational-Konsortium$$d2023-08-23$$wger 000294921 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)1180$$2StatID$$aDBCoverage$$bCurrent Contents - Social and Behavioral Sciences$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)0130$$2StatID$$aDBCoverage$$bSocial Sciences Citation Index$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ EPIDEMIOL COMMUN H : 2022$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2023-08-23 000294921 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bJ EPIDEMIOL COMMUN H : 2022$$d2023-08-23 000294921 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lEpidemiologie von Krebs$$x0 000294921 980__ $$ajournal 000294921 980__ $$aVDB 000294921 980__ $$aI:(DE-He78)C020-20160331 000294921 980__ $$aUNRESTRICTED