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Arsenic metabolism efficiency has a causal role in arsenic toxicity: Mendelian randomization and gene-environment interaction

机译:砷的代谢效率在砷毒性中具有因果作用:孟德尔随机化和基因-环境相互作用

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摘要

>Background Arsenic exposure through drinking water is a serious global health issue. Observational studies suggest that individuals who metabolize arsenic efficiently are at lower risk for toxicities such as arsenical skin lesions. Using two single nucleotide polymorphisms (SNPs) in the 10q24.32 region (near AS3MT) that show independent associations with metabolism efficiency, Mendelian randomization can be used to assess whether the association between metabolism efficiency and skin lesions is likely to be causal.>Methods Using data on 2060 arsenic-exposed Bangladeshi individuals, we estimated associations for two 10q24.32 SNPs with relative concentrations of three urinary arsenic species (representing metabolism efficiency): inorganic arsenic (iAs), monomethylarsonic acid (MMA) and dimethylarsinic acid (DMA). SNP-based predictions of iAs%, MMA% and DMA% were tested for association with skin lesion status among 2483 cases and 2857 controls.>Results Causal odds ratios for skin lesions were 0.90 (95% confidence interval [CI]: 0.87, 0.95), 1.19 (CI: 1.10, 1.28) and 1.23 (CI: 1.12, 1.36) for a one standard deviation increase in DMA%, MMA% and iAs%, respectively. We demonstrated genotype-arsenic interaction, with metabolism-related variants showing stronger associations with skin lesion risk among individuals with high arsenic exposure (synergy index: 1.37; CI: 1.11, 1.62).>Conclusions We provide strong evidence for a causal relationship between arsenic metabolism efficiency and skin lesion risk. Mendelian randomization can be used to assess the causal role of arsenic exposure and metabolism in a wide array of health conditions. Developing interventions that increase arsenic metabolism efficiency are likely to reduce the impact of arsenic exposure on health.
机译:>背景:通过饮用水接触砷是一个严重的全球健康问题。观察性研究表明,有效代谢砷的个体患砷性皮肤病变等毒性的风险较低。使用10q24.32区域(在AS3MT附近)的两个单核苷酸多态性(SNP),它们与代谢效率具有独立的关联,孟德尔随机化可用于评估代谢效率与皮肤病变之间的关联是否可能是因果关系。 >方法使用2060名暴露于砷的孟加拉国个体的数据,我们估计了两种10q24.32 SNP与三种尿砷的相对浓度(代表新陈代谢效率)的关联:无机砷(iAs),一甲基砷酸(MMA)和二甲基亚砷酸(DMA)。测试了2483例病例和2857例对照中基于SNP的iAs%,MMA%和DMA%预测与皮肤病变状态的相关性。>结果皮肤病变的因果比为0.90(95%置信区间[ CI]:0.87、0.95),1.19(CI:1.10、1.28)和1.23(CI:1.12、1.36),分别使DMA%,MMA%和iAs%的标准差增加了一个。我们证明了基因型-砷相互作用,与代谢相关的变异显示出在高砷暴露人群中与皮肤病变风险的相关性更强(协同指数:1.37; CI:1.11、1.62)。>结论我们提供了有力的证据砷代谢效率与皮肤病变风险之间的因果关系。孟德尔随机化可用于评估各种健康状况下砷暴露和代谢的因果作用。制定提高砷代谢效率的干预措施可能会减少砷暴露对健康的影响。

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