Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, China; Key Laboratory on Assisted Circulation, Ministry of Health, China.
Department of Statistical Science, School of Mathematics and Computational Science, Sun Yat-Sen University, China.
Atherosclerosis. 2018 Feb;269:172-177. doi: 10.1016/j.atherosclerosis.2018.01.006. Epub 2018 Jan 12.
An environment-wide association study (EWAS) may be useful to comprehensively test and validate associations between environmental factors and peripheral arterial disease (PAD) in an unbiased manner.
Data from cross-sectional cohorts from the US National Health and Nutrition Examination Survey (1999-2004) were randomly 50:50 split into training set and testing set. A value of ankle-brachial index (ABI) <1.0 or >1.4 defined PAD. We performed multiple linear regression analyses associating each of the 417 environmental and self-reported factors with PAD in the training set (false discovery rate <5%). Significant findings were validated in the testing set (p < 0.05) and entered into a logistic regression model with penalized likelihood based on the Akaike Information Criterion (AIC).
Overall, 6819 participants >40 years old were included. The validated factors comprised positive associations with smoking-associated factors (cigarette smoker, family smoker and smoked >100 cigarettes, urinary cotinine), cadmium, urinary albumin, C-reactive protein, blood o-xylene and thyroxine 4, and inverse associations with α-carotene and trans-/cis-β-carotene for PAD. Finally, only 4 of these factors were nominally significant in the AIC-selected model: cadmium (OR 1.27, 95% CI 1.12-1.45), cis-β-carotene (OR 0.81, 95% CI 0.72-0.91), CRP (OR 1.19, 95% CI 1.03-1.38) and urinary albumin (OR 1.20, 95% CI 1.04-1.38).
Our systematic evaluation provides new knowledge on the complex array of environmental correlates of PAD. These identified correlates need to be probed in further observational and interventional studies.
环境全基因组关联研究(EWAS)可用于全面、无偏地检测和验证环境因素与外周动脉疾病(PAD)之间的关联。
本研究数据来自美国国家健康和营养检查调查(1999-2004 年)的横断面队列,按照 50:50 的比例随机分为训练集和测试集。踝臂指数(ABI)<1.0 或>1.4 定义为 PAD。我们在训练集中对每一个 417 个环境和自我报告因素与 PAD 之间进行了多元线性回归分析(错误发现率<5%)。在测试集中对有意义的发现进行了验证(p<0.05),并根据 Akaike 信息准则(AIC)基于惩罚似然的逻辑回归模型纳入了这些因素。
共纳入 6819 名年龄>40 岁的参与者。验证的因素包括与吸烟相关因素(吸烟者、家庭吸烟者和吸烟>100 支、尿可替宁)、镉、尿白蛋白、C 反应蛋白、血液邻二甲苯和甲状腺素 4 呈正相关,与 α-胡萝卜素和反式/顺式-β-胡萝卜素呈负相关。最后,只有这 4 个因素在 AIC 选择的模型中具有名义显著性:镉(OR 1.27,95%CI 1.12-1.45)、顺式-β-胡萝卜素(OR 0.81,95%CI 0.72-0.91)、C 反应蛋白(OR 1.19,95%CI 1.03-1.38)和尿白蛋白(OR 1.20,95%CI 1.04-1.38)。
我们的系统评价为 PAD 的复杂环境相关因素提供了新的知识。这些已确定的相关性需要在进一步的观察性和干预性研究中进行探讨。