Diabetologia · 2022 · 85 citations · 38 references
Life SciencesBiostatisticsGeneticsCausal InferenceEpidemiologyGenetic EpidemiologyCausal Inference In GeneticsDiabetes MellitusGenetic Risk FactorsGenome-wide Association StudiesGenotype-phenotype Association AnalysisMendelian RandomizationCausal Effect IdentificationGenetic InstrumentsGenetic Mediation AnalysisIndirect EffectsMediatorsMultivariable Mendelian RandomizationPopulation Health BurdenTwo-sample Mendelian Randomization
AIMS/HYPOTHESIS: Type 2 diabetes mellitus is a major health burden disproportionately affecting those with lower educational attainment (EA). We aimed to obtain causal estimates of the association between EA and type 2 diabetes and to quantify mediating effects of known modifiable risk factors. METHODS: We applied two-step, two-sample multivariable Mendelian randomisation (MR) techniques using SNPs as genetic instruments for exposure and mediators, thereby minimising bias due to confounding and reverse causation. We leveraged summary data on genome-wide association studies for EA, proposed mediators (i.e. BMI, blood pressure, smoking, television watching) and type 2 diabetes. The total effect of EA on type 2 diabetes was decomposed into a direct effect and indirect effects through multiple mediators. Additionally, traditional mediation analysis was performed in a subset of the National Health and Nutrition Examination Survey 2013-2014. RESULTS: EA was inversely associated with type 2 diabetes (OR 0.53 for each 4.2 years of schooling; 95% CI 0.49, 0.56). Individually, the largest contributors were BMI (51.18% mediation; 95% CI 46.39%, 55.98%) and television watching (50.79% mediation; 95% CI 19.42%, 82.15%). Combined, the mediators explained 83.93% (95% CI 70.51%, 96.78%) of the EA-type 2 diabetes association. Traditional analysis yielded smaller effects but showed consistent direction and priority ranking of mediators. CONCLUSIONS/INTERPRETATION: These results support a potentially causal protective effect of EA against type 2 diabetes, with considerable mediation by a number of modifiable risk factors. Interventions on these factors thus have the potential of substantially reducing the burden of type 2 diabetes attributable to low EA.
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Theo Vos, Stephen S Lim, Cristiana Abbafati et al. · The Lancet · 2020 · 19.2K citations · Full text
The MR-Base platform supports systematic causal inference across the human phenome
Gibran Hemani, Jie Zheng, Benjamin Elsworth et al. · eLife · 2018 · 8.4K citations · Full text