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Does Genetic Ancestry Explain Higher Values of Glycated Hemoglobin in African Americans

机译:基因祖先是否解释了非洲裔美国人糖化血红蛋白的更高价值

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摘要

Glycated hemoglobin (HbAlc) values are higher in African Americans than whites, raising the question of whether classification of diabetes status by HbAlc should differ for African Americans. We investigated the relative contribution of genetic ancestry and nongenetic factors to HbAlc values and the effect of genetic ancestry on diabetes classification by HbAlc in African Americans. RESEARCH DESIGN AND METHODS-We performed a cross-sectional analysis of data from the community-based Atherosclerosis Risk in Communities (ARIC) Study. We estimated percentage of European genetic ancestry (PEA) for each of the 2,294 African Americans without known diabetes using 1,350 ancestry-informative markers. HbAlc was measured from whole-blood samples and categorized using American Diabetes Association diagnostic cut points (<5.7, 5.7-6.4, and £6.5%). RESULTS-PEA was inversely correlated with HbAic (adjusted r = -0.07; P < 0.001) but explained <1% of its variance. Age and socioeconomic and metabolic factors, including fasting glucose, explained 13.8% of HbAic variability. Eleven percent of participants were classified as having diabetes; adjustment for fasting glucose decreased this to 4.4%. Additional adjustment for PEA did not significantly reclassify diabetes status (net reclassiflcation index = 0.034; P = 0.94) nor did further adjustment for demographic, socioeconomic, and metabolic risk factors. CONCLUSIONS-The relative contribution of demographic and metabolic factors far outweighs the contribution of genetic ancestry to HbAlc values in African Americans. Moreover, the impact of adjusting for genetic ancestry when classifying diabetes by HbAlc is minimal after taking into account fasting glucose levels, thus supporting the use of currently recommended HbAlc categories for diagnosis of diabetes in African Americans.
机译:非裔美国人的糖化血红蛋白(HbAlc)值高于白人,这引发了一个问题,即非裔美国人对HbAlc进行的糖尿病状况分类是否应有所不同。我们调查了遗传血统和非遗传因素对HbAlc值的相对贡献以及遗传血统对非裔美国人HbAlc对糖尿病分类的影响。研究设计和方法-我们对来自社区的动脉粥样硬化风险在社区(ARIC)研究中的数据进行了横断面分析。我们使用1350个祖先信息标记物,估计了2294名未患有糖尿病的非裔美国人中每个欧洲人的遗传学祖先百分比。从全血样本中测量HbAlc,并使用美国糖尿病协会的诊断切点进行分类(<5.7、5.7-6.4和£6.5%)。结果-PEA与HbAic呈负相关(校正后r = -0.07; P <0.001),但解释了其方差<1%。年龄,社会经济和代谢因素(包括空腹血糖)可解释HbAic变异性的13.8%。 11%的参与者被归类为患有糖尿病;空腹血糖的调整降低到4.4%。 PEA的其他调整并未显着重新分类糖尿病状态(净重新分类指数= 0.034; P = 0.94),也没有针对人口,社会经济和代谢风险因素进行进一步调整。结论-人口统计学和代谢因素的相对贡献远远超过遗传背景对非裔美国人HbAlc值的贡献。此外,在考虑空腹血糖水平后,通过HbAlc对糖尿病进行分类时调整遗传血统的影响极小,因此支持将当前推荐的HbAlc类别用于诊断非裔美国人的糖尿病。

著录项

  • 来源
    《Diabetes》 |2011年第9期|p.2434-2438|共5页
  • 作者单位

    Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore,Maryland;

    Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore,Maryland,Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland;

    Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore,Maryland,Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland;

    Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore,Maryland,Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland;

    Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland,Department of Epidemiology and Public Health and Department of Ophthalmology,National University of Singapore, Singapore,Singapore Eye Research Institute, Singapore,Centre for Quantitative Medicine, Duke-NUS Graduate Medical School, Singapore;

    Division of Epidemiology and Community Health, University of Minnesota School of Public Health,Minneapolis, Minnesota;

    Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore,Maryland,Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-18 03:46:31

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