Lee Mee-Ri, Lim Youn-Hee, Hong Yun-Chul
Department of Preventive Medicine, Seoul National University College of Medicine Institute of Environmental Medicine, Seoul National University Medical Research Center Environmental Health Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
Medicine (Baltimore). 2018 Jul;97(30):e11252. doi: 10.1097/MD.0000000000011252.
Observational studies have shown that obesity is a major risk factor for hypertension, but unmeasured confounding factors may exist. We used Mendelian randomization (MR) to assess the causal effect of obesity on hypertension.The MR analysis was performed in a well-defined community cohort study of 8832 middle-aged (40-69 years) adults in Korea enrolled from 2001 to 2013. We used baseline hypertension and newly diagnosed hypertension during the 10-year follow-up period as the outcome variable. Genetic risk score associated with body mass index (BMI GRS) was used as the instrumental variable (IV) to measure the causal relationship between obesity and hypertension. The IV estimate of causal odds ratio (OR) was derived using the Wald ratio estimator and then exponentiation to express the result as an OR.In the multivariable model adjusting for age, sex, study area, education, smoking, and current alcohol consumption, each 1 kg/m increase in BMI was associated with a 19% (OR: 1.19, 95% confidence interval [CI]: 1.17-1.21) increase in hypertension risk. We selected 6 single-nucleotide polymorphisms (P < 1.0 × 10) associated with BMI by genome-wide screening using linear regression and created 6 types of GRS. We demonstrated that each standard-deviation increase in BMI GRS was associated with a 5% to 6% (OR: 1.05-1.06) increased risk of hypertension (all P < .05). Using BMI GRS as the IV, we found a causal relationship between BMI and hypertension (OR: 1.13-1.26, all P < .05 except weighted GRS [n = 6]).Using Mendelian randomization, we found that obesity is causally associated with hypertension. This information will have important public health implications, supporting evidence that obesity-reduction programs will reduce the incidence of hypertension.
观察性研究表明,肥胖是高血压的主要危险因素,但可能存在未测量的混杂因素。我们使用孟德尔随机化(MR)来评估肥胖对高血压的因果效应。MR分析是在一项定义明确的社区队列研究中进行的,该研究纳入了2001年至2013年期间韩国的8832名中年(40 - 69岁)成年人。我们将基线高血压和10年随访期间新诊断的高血压作为结局变量。与体重指数相关的遗传风险评分(BMI GRS)被用作工具变量(IV),以测量肥胖与高血压之间的因果关系。因果比值比(OR)的IV估计值通过Wald比值估计器得出,然后进行指数运算以将结果表示为OR。在调整了年龄、性别、研究区域、教育程度、吸烟和当前饮酒量的多变量模型中,BMI每增加1kg/m²,高血压风险增加19%(OR:1.19,95%置信区间[CI]:1.17 - 1.21)。我们通过线性回归全基因组筛选选择了6个与BMI相关的单核苷酸多态性(P < 1.0×10⁻⁸),并创建了6种类型的GRS。我们证明,BMI GRS每增加一个标准差,高血压风险增加5%至6%(OR:1.05 - 1.06)(所有P < 0.05)。以BMI GRS作为IV,我们发现BMI与高血压之间存在因果关系(OR:1.13 - 1.26,除加权GRS[n = 6]外所有P < 0.05)。使用孟德尔随机化,我们发现肥胖与高血压存在因果关联。这一信息将具有重要的公共卫生意义,支持了减肥计划将降低高血压发病率的证据。