| 孟玲先,阙喜妹,高雪,王彤.儿童肥胖与冠状动脉疾病的孟德尔随机化研究[J].Chinese journal of Epidemiology,2019,40(7):839-843 |
| 儿童肥胖与冠状动脉疾病的孟德尔随机化研究 |
| Childhood obesity and coronary artery disease:a Mendelian randomization study |
| Received:November 14, 2018 |
| DOI：10.3760/cma.j.issn.0254-6450.2019.07.019 |
| KeyWord: 孟德尔随机化研究 儿童肥胖 冠状动脉疾病 |
| English Key Word: Mendelian randomization Childhood obesity Coronary artery disease |
| FundProject:国家自然科学基金（81872715， 81473073） |
| Author Name | Affiliation | E-mail | | Meng Lingxian | School of Public Health, Shanxi Medical University, Taiyuan 030001, China | | | Que Ximei | School of Public Health, Shanxi Medical University, Taiyuan 030001, China | | | Gao Xue | School of Public Health, Shanxi Medical University, Taiyuan 030001, China | | | Wang Tong | School of Public Health, Shanxi Medical University, Taiyuan 030001, China | tongwang@sxmu.edu.cn |
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| Abstract: |
| 目的 利用孟德尔随机化研究（MR）方法评估儿童肥胖与冠状动脉疾病（CAD）是否具有因果关联。方法 利用早期生长遗传学数据库和人体测量学特征遗传学研究数据库中2015年2～10岁儿童BMI的汇总数据，选取27个与儿童BMI相关的遗传变异作为工具变量。从对欧洲最大队列UK Biobank 2015年发布的CAD病例全基因组关联研究的Meta分析中，提取工具变量与CAD汇总水平的关联结果。采用MR-Egger方法进行工具变量的多效性检验，使用基于众数的方法进行MR分析检验儿童肥胖与CAD是否具有因果关联。结果 MR-Egger回归得到的截距项95% CI包含0（-0.008～0.018），提示所选取的工具变量不具有多效性。儿童BMI每增加1个标准差，成年期患CAD的风险增加37%（OR=1.37，95% CI：1.09～1.72）。结论 儿童肥胖可能与其成年期患CAD的风险具有因果关联。 |
| English Abstract: |
| Objective To assess the casual effect of childhood obesity on adulthood coronary artery disease (CAD) using Mendelian randomization (MR) method. Methods Data on BMI of children aged 2-10 years in 2015 were downloaded from Early Growth Genetics Consortium and Genetic Investigation of Anthropometric Traits Consortium. Twenty-seven genetic variants related to children's BMI were selected as instrumental variables (IVs), and the associations between IVs and CAD were extracted from a Meta-analysis of the genome-wide association study of CAD cases published in UK Biobank 2015. We used MR-Egger regression to test whether there was the pleiotropy of the selected SNPs. In the present MR methods, we conducted MR analyses by using mode-based estimate method as primary method for summary-level of associations to estimate the causal association between childhood obesity and CAD. Results The intercept term estimated for CAD from MR-Egger method suggested that the selected SNPs don't exert pleiotropy with a 95%CI including the null (-0.008-0.018). In addition, we found evidence that support the effect of childhood obesity on CAD risk:a 1 s increase in children BMI (kg/m2), and the risk of suffering from CAD in adulthood increased by an average of 37% (OR=1.37, 95%CI:1.09-1.72). Conclusion This study provides a causal association between childhood obesity and CAD risk. |
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