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Development and Evaluation of a Genetic Risk Score for Obesity

机译:肥胖遗传风险评分的开发和评估

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摘要

Multi-locus profiles of genetic risk, so-called "genetic risk scores, " can be used to translate discoveries from genome-wide association studies into tools for population health research. We developed a genetic risk score for obesity from results of 16 published genome-wide association studies of obesity phenotypes in European-descent samples. We then evaluated this genetic risk score using data from the Atherosclerosis Risk in Communities (ARIC) cohort GWAS sample (N = 10,745, 55% female, 77% white, 23% African American). Our 32-locus GRS was a statistically significant predictor of body mass index (BMI) and obesity among ARIC whites [for BMI, r = 0.13, p<1 ×10~(-30); for obesity, area under the receiver operating characteristic curve (AUC) = 0.57 (95% CI 0.55-0.58)]. The GRS predicted differences in obesity risk net of demographic, geographic, and socioeconomic information. The GRS performed less well among African Americans. The genetic risk score we derived from GWAS provides a molecular measurement of genetic predisposition to elevated BMI and obesity. [Supplemental materials are available for this article. Go to the publisher's online edition of Biodemography and Social Biology for the following resource: Supplement to Development & Evaluation of a Genetic Risk Score for Obesity.]
机译:遗传风险的多基因位概况,即所谓的“遗传风险评分”,可用于将全基因组关联研究的发现转化为人口健康研究的工具。我们从16个已发表的欧洲血统肥胖症表型的全基因组关联研究的结果中得出了肥胖症的遗传风险评分。然后,我们使用来自社区的动脉粥样硬化风险(ARIC)队列GWAS样本(N = 10,745、55%的女性,77%的白人,23%的非裔美国人)的数据评估了该遗传风险评分。我们的32位GRS是ARIC白人中体重指数(BMI)和肥胖的统计学显着预测指标[对于BMI,r = 0.13,p <1×10〜(-30);对于肥胖,接收器工作特征曲线(AUC)下的面积= 0.57(95%CI 0.55-0.58)。 GRS预测了根据人口,地理和社会经济信息得出的肥胖风险差异。 GRS在非裔美国人中表现不佳。我们从GWAS得出的遗传风险评分为BMI和肥胖症的遗传易感性提供了分子测量方法。 [本文提供补充材料。请访问发布者的生物人口学和社会生物学在线版本,以获取以下资源:肥胖遗传风险评分的开发和评估补充。]

著录项

  • 来源
    《Social Biology》 |2013年第1期|85-100|共16页
  • 作者单位

    Department of Health Policy & Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA,Institute for Genome Sciences & Policy, Duke University, Durham, North Carolina, USA,Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, North Carolina, USA;

    Institute for Genome Sciences & Policy, Duke University, Durham, North Carolina, USA,Departments of Psychology and Neuroscience, Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina, USA,Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, United Kingdom;

    Institute for Genome Sciences & Policy, Duke University, Durham, North Carolina, USA,Departments of Psychology and Neuroscience, Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina, USA,Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, United Kingdom;

    Institute for Genome Sciences & Policy, Duke University, Durham, North Carolina, USA,Departments of Psychology and Neuroscience, Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina, USA,Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, United Kingdom;

    Departments of Psychology and Neuroscience, Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina, USA;

    Department of Epidemiology & Biostatistics, University of California, San Francisco School of Medicine, San Francisco, California, USA;

    Institute for Genome Sciences & Policy, Duke University, Durham, North Carolina, USA,Departments of Psychology and Neuroscience, Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina, USA,Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, United Kingdom;

  • 收录信息 美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 03:45:02

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