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Genetic-risk assessment of GWAS-derived susceptibility loci for type 2 diabetes in a 10 year follow-up of a population-based cohort study

机译:在一项基于人群的队列研究的10年随访中,对GWAS衍生的2型糖尿病易感基因座进行了遗传风险评估

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To date, genome-wide meta-analyses have identified genetic susceptibility to type 2 diabetes mellitus (T2D) predominantly in populations of European ancestry. However, comprehensive genetic-risk assessment based on previous GWAS loci has not been fully tested in non-European populations. To evaluate whether a genetic-risk score (GRS) could improve T2D-risk prediction in the Korean population, a GRS (GRS-55) was constructed by summing 55 risk alleles based on the 1000 Genomes imputation in the Korean Association Resource study (T2D cases = 1042 and controls = 2943 at baseline). We also constructed another GRS (GRS-19) based on nominal significance and consistent direction of effect. In mean difference tests, the mean value of the GRS-19 was significantly higher in T2D cases than in controls at baseline examination. In a model adjusted for area, age, sex and body mass index, weighted GRS-19 was found to be associated with enhanced effect sizes of T2D risk under consistent C-statistics. In addition, we confirmed cumulative risk effects on incidence rates of T2D, fasting plasma glucose and glycated hemoglobin (HbA1c) levels in a longitudinal 10 year of follow-up study. These findings highlight that a genotype score comprised of 19 common variants contributed to T2D-risk prediction in the Korean population. Further multi-locus epistatic interactions may provide the possibility to improve risk prediction in C-statistics for discrimination or reclassification.
机译:迄今为止,全基因组的荟萃分析已确定对欧洲2型糖尿病(T2D)的遗传易感性。但是,基于以前的GWAS基因座的综合遗传风险评估尚未在非欧洲人群中进行全面测试。为了评估遗传风险评分(GRS)是否可以改善韩国人群的T2D风险预测,根据韩国协会资源研究(T2D)中的1000个基因组估算,通过汇总55个风险等位基因,构建了GRS(GRS-55)。案例= 1042,对照组= 2943)。我们还根据名义意义和一致的作用方向构建了另一个GRS(GRS-19)。在平均差异测试中,T2D病例中GRS-19的平均值明显高于基线检查中的对照组。在针对面积,年龄,性别和体重指数进行调整的模型中,在一致的C统计量下,加权GRS-19被发现与T2D风险的效应大小增加有关。此外,我们在纵向的10年随访研究中证实了累积风险对T2D发生率,空腹血糖和糖化血红蛋白(HbA1c)水平的影响。这些发现突出表明,由19种常见变体组成的基因型评分有助于预测朝鲜族人群的T2D风险。进一步的多位点上位相互作用可能为改善C统计数据中的风险预测提供可能性,以进行区分或重新分类。

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