Association of Educational Attainment With Adiposity, Type 2 Diabetes, and Coronary Artery Diseases: A Mendelian Randomization Study
Association of Educational Attainment With Adiposity, Type 2 Diabetes, and Coronary Artery Diseases: A Mendelian Randomization Study
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教育程度与肥胖、2 型糖尿病和冠状动脉疾病的关联：孟德尔随机研究
DOI：
10.3389/fpubh.2020.00112
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发表时间：
2020-04-22
影响因子：
5.2
通讯作者：
Cui, Bin
中科院分区：
文献类型：
--
作者：
Cao, Min;Cui, Bin
背景资料：观察性研究表明，受教育程度（EA）与心脏代谢疾病有关，但暴露和结果之间的长时间间隔使得难以推断因果关系。我们在此使用孟德尔随机化（MR）来检查EA对肥胖、2型糖尿病（T2D）和冠状动脉疾病（CAD）的因果关系。方法：使用全基因组关联研究（GWAS）汇总统计量进行双样本MR分析。74个工具变量（IV）被用来确定EA对心脏代谢疾病的因果关系。还进行了敏感性分析以检测IV的多效性。结果如下：使用MR方法，我们发现EA每增加一年与体重指数（BMI）的降低有关。（β −0.17 [95% CI −0.23，−0.10]，P = 8.85 × 10−7），T2D的几率降低39%（OR 0.61 [95%CI 0.50，0.75]，P = 1.16 × 10−6），在Bonferroni校正的显著性水平下，CAD的几率降低36%（OR 0.64 [95%CI 0.55，0.75]，P = 2.38 × 10−8）。结论：我们的研究结果表明，EA对心脏代谢疾病，包括肥胖症，T2D和CAD的因果关系的作用。
Background: Observational studies showed that educational attainment (EA) is associated with cardiometabolic diseases, but the long interval between exposure and outcome makes it difficult to infer causality. We herein used Mendelian randomization (MR) to examine the causal effects of EA on adiposity, type 2 diabetes (T2D), and coronary artery disease (CAD). Methods: A two-sample MR analysis was conducted using genome-wide association study (GWAS) summary statistics. Seventy-four instrumental variables (IVs) were used to determine the causal effect of EA on cardiometabolic diseases. Sensitivity analyses were also performed to detect the pleiotropy of the IVs. Results: Using the MR approach, we found that each additional year in EA is associated with a reduction in the body mass index (BMI) (β −0.17 [95% CI −0.23, −0.10], P = 8.85 × 10−7), a 39% reduction in the odds of having T2D (OR 0.61 [95% CI 0.50, 0.75], P = 1.16 × 10−6), and a 36% reduction in the odds of having CAD (OR 0.64 [95% CI 0.55, 0.75], P = 2.38 × 10−8) at the Bonferroni-adjusted level of significance. Conclusion: Our findings suggest a causal role of EA on the cardiometabolic diseases including adiposity, T2D, and CAD.