在Framingham心脏研究中,AHRR甲基化是死亡风险的重要预测因子。

Q3 Medicine
R. Philibert, Meeshanthini V Dogan, J. Mills, J. Long
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引用次数: 9

摘要

背景。-预测死亡率的能力对临床医生、政策制定者和保险公司都很有用。目前,对未来死亡率的预测仍然是一个不精确的过程,一些人提出表观遗传评估可以在改善预后方面发挥作用。在过去的工作中,我们和其他人已经表明,DNA甲基化状态在cg05575921,一个充分研究吸烟强度的指标,也是死亡率的一个预测指标。然而,这种预测能力的确切程度及其与其他通常测量的死亡率风险因素的独立性尚不清楚。目标。-确定甲基化预测死亡率的能力。方法。我们分析了cg05575921和cg04987734位点甲基化与Framingham心脏研究后代队列中死亡率的关系,cg05575921和cg04987734位点是最近描述的重度饮酒的定量标记。结果。在这组平均年龄为66±9岁的参与者(n = 2278)中,我们发现将cg05575921和cg04987734甲基化纳入仅由年龄和性别组成的基础模型,或纳入包含11个常用死亡危险因素的模型,可以改善风险预测。更重要的是,与基础模型加已知死亡率预测因子(冠心病、慢性阻塞性肺病或中风)相比,基础模型加甲基化数据的预测准确性有所提高。结论。-Cg05575921和在较小程度上cg04987734是美国老年人死亡风险的有力预测因子,将DNA甲基化评估纳入这些和其他基因座可能有助于人口科学家、精算师和政策制定者更好地了解吸烟和饮酒等环境风险因素与死亡率的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AHRR Methylation is a Significant Predictor of Mortality Risk in Framingham Heart Study.
Background.-The ability to predict mortality is useful to clinicians, policy makers and insurers. At the current time, prediction of future mortality is still an inexact process with some proposing that epigenetic assessments could play a role in improving prognostics. In past work, we and others have shown that DNA methylation status at cg05575921, a well-studied measure of smoking intensity, is also a predictor of mortality. However, the exact extent of that predictive capacity and its independence of other commonly measured mortality risk factors are unknown. Objective.-To determine the capacity of methylation to predict mortality. Method.-We analyzed the relationship of methylation at cg05575921 and cg04987734, a recently described quantitative marker of heavy alcohol consumption, to mortality in the Offspring Cohort of the Framingham Heart Study using proportional hazards survival analysis. Results.-In this group of participants (n = 2278) whose average age was 66 ± 9 years, we found that the inclusion of both cg05575921 and cg04987734 methylation to a base model consisting of age and sex only, or to a model containing 11 commonly used mortality risk factors, improved risk prediction. What is more, prediction accuracy for the base model plus methylation data was increased compared to the base model plus known predictors of mortality (CHD, COPD, or stroke). Conclusion.-Cg05575921, and to a smaller extent cg04987734, are strong predictors of mortality risk in older Americans and that incorporation of DNA methylation assessments to these and other loci may be useful to population scientists, actuaries and policymakers to better understand the relationship of environmental risk factors, such as smoking and drinking, to mortality.
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
6
期刊介绍: The Journal of Insurance Medicine is a peer reviewed scientific journal sponsored by the American Academy of Insurance Medicine, and is published quarterly. Subscriptions to the Journal of Insurance Medicine are included in your AAIM membership.
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