Prospective studies have reported that circulating cholesterol abnormalities are predictive of hypertension. As a test of the causal influence of circulating cholesterols on hypertension, we used a meta-based Mendelian randomization analysis to determine whether the apolipoprotein E (ApoE) gene polymorphism ε2/ε3/ε4 related to cholesterol changes is associated with hypertension. Data were available from 17 study populations, encompassing 2896 hypertensive patients and 2898 controls. A random effects model was applied irrespective of a between-study heterogeneity, and publication bias was examined using a funnel plot and Egger's test. An overall comparison of the ApoE gene alleles ε4 with ε3 yielded a significant 81% increased risk for hypertension (95% confidence interval (95% CI): 1.41-2.32; P<0.0005). Restricting the analysis to populations of Asian descent resulted in a 1.87-times higher likelihood of developing hypertension (95% CI: 1.41-2.32; P<0.0005). Compared with ε3 carriers, ε4 allele carriers had significantly higher levels of total cholesterol (standardized mean difference (SMD)=0.39; 95% CI: 0.2-0.57; P<0.0005) and low-density lipoprotein cholesterol (SMD=0.43; 95% CI: 0.23-0.64; P<0.0005). The predicted odds ratio (OR) for a 1 mmol l -1 increase in total cholesterol was 4.58 (95% CI: 1.83-67.21) when all qualified studies were included and 4.98 (95% CI: 1.94-76.36) for Asian-descent populations. Similarly, the predicted OR for a 1-mmol l -1 increase of low-density lipoprotein cholesterol was 3.97 (95% CI: 1.71-43.48) in all populations and 4.29 (95% CI: 1.81-43.38) in Asian-descent populations. Taken together, our findings suggest a casual influence of high circulating total cholesterol and low-density lipoprotein cholesterol levels on the development of hypertension. © 2012 The Japanese Society of Hypertension All rights reserved.
CITATION STYLE
Niu, W., Zhang, X., & Qi, Y. (2012). Association of an apolipoprotein E polymorphism with circulating cholesterols and hypertension: A meta-based Mendelian randomization analysis. Hypertension Research, 35(4), 434–440. https://doi.org/10.1038/hr.2011.202
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