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中国汉族人群 2 型糖尿病相关遗传和环境因素模型。

Model of genetic and environmental factors associated with type 2 diabetes mellitus in a Chinese Han population.

机构信息

Medical School, Hangzhou Normal University, 2318 Yuhangtang Rd, Hangzhou, 310000, Zhejiang, China.

Medical School, Shihezi University, Shihezi, 832000, China.

出版信息

BMC Public Health. 2020 Jun 29;20(1):1024. doi: 10.1186/s12889-020-09130-5.

Abstract

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a metabolic disorder which accounts for high morbidity and mortality due to complications like renal failure, amputations, cardiovascular disease, and cerebrovascular events.

METHODS

We collected medical reports, lifestyle details, and blood samples of individuals and used the polymerase chain reaction-ligase detection reaction method to genotype the SNPs, and a visit was conducted in August 2016 to obtain the incidence of Type 2 diabetes in the 2113 eligible people. To explore which genes and environmental factors are associated with type 2 diabetes mellitus in a Chinese Han population, we used elastic net to build a model, which is to explain which variables are strongly associated with T2DM, rather than predict the occurrence of T2DM.

RESULT

The genotype of the additive of rs964184, together with the history of hypertension, regular intake of meat and waist circumference, increased the risk of T2DM (adjusted OR = 2.38, p = 0.042; adjusted OR = 3.31, p < 0.001; adjusted OR = 1.05, p < 0.001). The TT genotype of the additive and recessive models of rs12654264, the CC genotype of the additive and dominant models of rs2065412, the TT genotype of the additive and dominant models of rs4149336, together with the degree of education, regular exercise, reduced the risk of T2DM (adjusted OR = 0.46, p = 0.017; adjusted OR = 0.53, p = 0.021; adjusted OR = 0.59, p = 0.021; adjusted OR = 0.57, p = 0.01; adjusted OR = 0.59, p = 0.021; adjusted OR = 0.57, p = 0.01; adjusted OR = 0.50, p = 0.007; adjusted OR = 0.80, p = 0.032) .

CONCLUSION

Eventually we identified a set of SNPs and environmental factors: rs5805 in the SLC12A3, rs12654264 in the HMGCR, rs2065412 and rs414936 in the ABCA1, rs96418 in the ZPR1 gene, waistline, degree of education, exercise frequency, hypertension, and the intake of meat. Although there was no interaction between these variables, people with two risk factors had a higher risk of T2DM than those only having one factor. These results provide the theoretical basis for gene and other risk factors screening to prevent T2DM.

摘要

背景

2 型糖尿病(T2DM)是一种代谢紊乱疾病,由于肾衰竭、截肢、心血管疾病和脑血管事件等并发症,导致发病率和死亡率都很高。

方法

我们收集了个人的医疗报告、生活方式细节和血液样本,并使用聚合酶链反应-连接酶检测反应方法对 SNP 进行基因分型,于 2016 年 8 月进行了一次随访,以了解 2113 名合格人群中 2 型糖尿病的发病率。为了探索哪些基因和环境因素与中国汉族人群的 2 型糖尿病有关,我们使用弹性网络构建了一个模型,用于解释哪些变量与 T2DM 密切相关,而不是预测 T2DM 的发生。

结果

rs964184 加性基因型,加上高血压病史、规律摄入肉类和腰围,增加了 T2DM 的风险(调整后的 OR=2.38,p=0.042;调整后的 OR=3.31,p<0.001;调整后的 OR=1.05,p<0.001)。rs12654264 的加性和隐性模型、rs2065412 的加性和显性模型、rs4149336 的加性和显性模型的 TT 基因型,加上受教育程度、规律运动,降低了 T2DM 的风险(调整后的 OR=0.46,p=0.017;调整后的 OR=0.53,p=0.021;调整后的 OR=0.59,p=0.021;调整后的 OR=0.57,p=0.01;调整后的 OR=0.59,p=0.021;调整后的 OR=0.57,p=0.01;调整后的 OR=0.50,p=0.007;调整后的 OR=0.80,p=0.032)。

结论

最终我们确定了一组 SNP 和环境因素:SLC12A3 中的 rs5805、HMGCR 中的 rs12654264、ABCA1 中的 rs2065412 和 rs414936、ZPR1 基因中的 rs96418、腰围、受教育程度、运动频率、高血压和肉类摄入量。尽管这些变量之间没有相互作用,但有两个危险因素的人患 T2DM 的风险高于只有一个危险因素的人。这些结果为基因和其他危险因素筛查预防 T2DM 提供了理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4870/7325035/4d5b3e6f98df/12889_2020_9130_Fig1_HTML.jpg

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