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The effect of iron status on risk of coronary artery disease: a Mendelian randomization study

机译:铁状态对冠状动脉疾病风险的影响:孟德尔随机化研究

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摘要

Objective—Iron status is a modifiable trait that has been implicated in cardiovascular disease. This study uses the Mendelian randomization technique to investigate whether there is any causal effect of iron status on risk of coronary artery disease (CAD). Approach and Results—A 2-sample Mendelian randomization approach is used to estimate the effect of iron status on CAD risk. Three loci (rs1800562 and rs1799945 in the HFE gene and rs855791 in TMPRSS6) that are each associated with serum iron, transferrin saturation, ferritin, and transferrin in a pattern suggestive of an association with systemic iron status are used as instruments. SNP (single-nucleotide polymorphism)-iron status association estimates are based on a genome-wide association study meta-analysis of 48 972 individuals. SNP-CAD estimates are derived by combining the results of a genome-wide association study meta-analysis of 60 801 CAD cases and 123 504 controls with those of a meta-analysis of 63 746 CAD cases and 130 681 controls obtained from Metabochip and genome-wide association studies. Combined Mendelian randomization estimates are obtained for each marker by pooling results across the 3 instruments. We find evidence of a protective effect of higher iron status on CAD risk (iron odds ratio, 0.94 per SD unit increase; 95% confidence interval, 0.88–1.00; P=0.039; transferrin saturation odds ratio, 0.95 per SD unit increase; 95% confidence interval, 0.91–0.99; P=0.027; log-transformed ferritin odds ratio, 0.85 per SD unit increase; 95% confidence interval, 0.73–0.98; P=0.024; and transferrin odds ratio, 1.08 per SD unit increase; 95% confidence interval, 1.01–1.16; P=0.034). Conclusions—This Mendelian randomization study supports the hypothesis that higher iron status reduces CAD risk. These findings may highlight a therapeutic target.
机译:目的—铁状态是一种可改变的特征,与心血管疾病有关。这项研究使用孟德尔随机技术研究铁状态对冠状动脉疾病(CAD)风险是否有因果关系。方法和结果-采用2-样本孟德尔随机方法评估铁状态对CAD风险的影响。使用三个位点(HFE基因中的rs1800562和rs1799945以及TMPRSS6中的rs855791)与血清铁,转铁蛋白饱和度,铁蛋白和转铁蛋白以暗示与全身性铁状态相关的模式关联。 SNP(单核苷酸多态性)-铁状态关联估计是基于对48-972个人的全基因组关联研究的荟萃分析。 SNP-CAD估计值是通过结合对60 801个CAD病例和123 504个对照的全基因组关联研究的荟萃分析结果与对63 746个CAD病例和130 681个从Metabochip和基因组获得的对照的荟萃分析的荟萃分析结果得出的关联研究。通过将3种仪器的结果汇总起来,可以获得每个标记的组合孟德尔随机估计。我们发现高铁状态对CAD风险有保护作用的证据(铁比值比,每SD单位增加0.94; 95%置信区间,0.88-1.00; P = 0.039;运铁蛋白饱和比值比,每SD单位增加0.95; 95 %置信区间0.91-0.99; P = 0.027;对数变换的铁蛋白比值比,每SD单位增加0.85; 95%置信区间,0.73-0.98; P = 0.024;运铁蛋白比值比,每SD单位增加1.08; 95 %置信区间,1.01-1.16; P = 0.034)。结论-这项孟德尔随机研究支持以下假设:较高的铁水平可降低CAD风险。这些发现可能会突出治疗目标。

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