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Combined Analyses of 20 Common Obesity Susceptibility Variants

机译:20种常见肥胖易感性变异的综合分析

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Objective-Genome-wide association studies and linkage studies have identified 20 validated genetic variants associated with obesity and/or related phenotypes. The variants are common, and they individually exhibit small-to-modest effect sizes.rnRESEARCH DESIGN AND METHODS-In this study we investigate the combined effect of these variants and their ability to discriminate between normal weight and overweight/obese individuals. We applied receiver operating characteristics (ROC) curves, and estimated the area under the ROC curve (AUC) as a measure of the discriminatory ability. The analyses were performed cross-sectionally in the population-based Inter99 cohort where 1,725 normal weight, 1,519 overweight, and 681 obese individuals were successfully genotyped for all 20 variants.rnRESULTS-When combining all variants, the 10% of the study participants who carried more than 22 risk-alleles showed a significant increase in probability of being both overweight with an odds ratio of 2.00 (1.47-2.72), P = 4.0 × 10~(-5), and obese with an OR of 2.62 (1.76-3.92), P = 6.4 × 10~(-7), compared with the 10% of the study participants who carried less than 14 risk-alleles. Discrimination ability for overweight and obesity, using the 20 single nucleotide polymorphisms (SNPs), was determined to AUCs of 0.53 and 0.58, respectively. When combining SNP data with conventional nongenetic risk factors of obesity, the discrimination ability increased to 0.64 for overweight and 0.69 for obesity. The latter is significantly higher (P < 0.001) than for the nongenetic factors alone (AUC = 0.67).rnCONCLUSIONS-The discriminative value of the 20 validated common obesity variants is at present time sparse and too weak for clinical utility, however, they add to increase the discrimination ability of conventional nongenetic risk factors.
机译:客观基因组范围的关联研究和连锁研究已经确定了20种与肥胖和/或相关表型有关的经过验证的遗传变异。变异体是常见的,并且它们各自表现出小到中等的效应大小。研究设计和方法-在这项研究中,我们研究了这些变异体的综合作用及其区分正常体重和超重/肥胖个体的能力。我们应用了接收器工作特性(ROC)曲线,并估计了ROC曲线(AUC)下的面积,以此来衡量辨别能力。在以人群为基础的Inter99队列中进行了横断面分析,成功地对所有20个变体进行了1725正常体重,1,519超重和681肥胖个体的基因分型。rn结果-当结合所有变体时,携带10%的研究参与者超过22个风险等位基因显示超重几率显着增加,优势比为2.00(1.47-2.72),P = 4.0×10〜(-5),并且肥胖的OR为2.62(1.76-3.92) ),P = 6.4×10〜(-7),与携带少于14个风险等位基因的研究参与者的10%相比。使用20个单核苷酸多态性(SNP),对超重和肥胖的辨别能力分别确定为AUC为0.53和0.58。当将SNP数据与肥胖的传统非遗传危险因素结合时,对于超重的辨别能力增加到0.64,对于肥胖的辨别能力增加到0.69。后者明显高于单独的非遗传因素(AUC = 0.67)(P <0.001)。结论—目前验证的20种常见肥胖变体的鉴别价值稀少,对于临床应用而言太弱了,但是,他们补充说提高传统非遗传危险因素的识别能力。

著录项

  • 来源
    《Diabetes》 |2010年第7期|P.1667-1673|共7页
  • 作者单位

    Hagedorn Research Institute, Gentofte, Denmark Medical and Science Department, Development Projects, Novo Nordisk A/S, Bagsvaerd, Denmark;

    Hagedorn Research Institute, Gentofte, Denmark;

    Hagedorn Research Institute, Gentofte, Denmark;

    Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark;

    Medical and Science Department, Development Projects, Novo Nordisk A/S, Bagsvaerd, Denmark;

    Discovery Medicine and Clinical Pharmacology Department, Cardiovascular and Metabolic Diseases, Bristol-Myers Squibb, Princeton, New Jersey;

    Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark;

    Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark;

    Hagedorn Research Institute, Gentofte, Denmark Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark;

    Hagedorn Research Institute, Gentofte, Denmark Faculty of Health Sciences, Aarhus University, Aarhus, Denmark Institute of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark;

  • 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 03:46:37

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