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在一般日本人群中遗传风险与 2 型糖尿病发病的关系:久山研究。

Association Between Genetic Risk and Development of Type 2 Diabetes in a General Japanese Population: The Hisayama Study.

机构信息

Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

出版信息

J Clin Endocrinol Metab. 2019 Aug 1;104(8):3213-3222. doi: 10.1210/jc.2018-01782.

Abstract

CONTEXT

Although recent genetic studies have identified many susceptibility loci associated with type 2 diabetes (T2D), the usefulness of such loci for precision medicine remains uncertain.

OBJECTIVE

This study investigated the impact of genetic risk score (GRS) on the development of T2D in a general Japanese population.

PARTICIPANTS

The current study consists of 1465 subjects aged 40 to 79 years without diabetes who underwent a health examination in 2002.

DESIGN

The GRS was generated using the literature-based effect size for T2D of 84 susceptibility loci for the Japanese population, and the risk estimates of GRS on the incidence of T2D were computed by using a Cox proportional hazard model in a 10-year follow-up study. The influence of GRS on the predictive ability was estimated with Harrell C statistics, integrated discrimination improvement (IDI), and continuous net reclassification improvement (cNRI).

RESULTS

During the 10-year follow-up, 199 subjects experienced T2D. The risk of developing T2D increased significantly with elevating quintiles of GRS (multivariable-adjusted hazard ratio for the fifth vs first quintile, 2.85; 95% CI, 1.83 to 4.44). When incorporating GRS into the multivariable model comprising environmental risk factors, the Harrell C statistics (95% CI) increased from 0.681 (0.645 to 0.717) to 0.707 (0.672 to 0.742) and the predictive ability of T2D was significantly improved (IDI, 0.0376; 95% CI, 0.0284 to 0.0494; cNRI, 0.3565; 95% CI, 0.1278 to 0.5829). GRS was also associated with the risk of T2D independently of environmental risk factors.

CONCLUSIONS

These findings suggest the usefulness of GRS for identifying a high-risk population together with environmental risk factors in the Japanese population.

摘要

背景

尽管最近的遗传研究已经确定了许多与 2 型糖尿病(T2D)相关的易感基因座,但这些基因座在精准医学中的应用仍不确定。

目的

本研究旨在调查在一般日本人群中,遗传风险评分(GRS)对 T2D 发病的影响。

参与者

本研究纳入了 2002 年接受健康检查的 1465 名年龄在 40 至 79 岁之间、无糖尿病的个体。

设计

使用基于文献的日本人群 T2D 易感性 84 个基因座的效应大小生成 GRS,在 10 年随访研究中,使用 Cox 比例风险模型计算 GRS 对 T2D 发病风险的风险估计。通过 Harrell C 统计量、综合判别改善(IDI)和连续净重新分类改善(cNRI)评估 GRS 对预测能力的影响。

结果

在 10 年随访期间,199 名受试者发生了 T2D。随着 GRS 五分位的升高,发生 T2D 的风险显著增加(第五五分位与第一五分位相比,多变量调整后的风险比,2.85;95%置信区间,1.83 至 4.44)。当将 GRS 纳入包含环境危险因素的多变量模型中时,Harrell C 统计量(95%置信区间)从 0.681(0.645 至 0.717)增加到 0.707(0.672 至 0.742),并且 T2D 的预测能力显著改善(IDI,0.0376;95%置信区间,0.0284 至 0.0494;cNRI,0.3565;95%置信区间,0.1278 至 0.5829)。GRS 与环境危险因素独立相关,也与 T2D 发病风险相关。

结论

这些发现表明,GRS 结合环境危险因素有助于在日本人群中识别高危人群。

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