scholarly journals Genetic variants associated with lean and obese type 2 diabetes in a Han Chinese population

Medicine ◽  
2016 ◽  
Vol 95 (23) ◽  
pp. e3841 ◽  
Author(s):  
Xiaomu Kong ◽  
Xiaoyan Xing ◽  
Jing Hong ◽  
Xuelian Zhang ◽  
Wenying Yang
Keyword(s):  
Type 2 Diabetes ◽  
Genetic Variants ◽  
Chinese Population ◽  
Han Chinese ◽  
Han Chinese Population

scholarly journals The ANGPTL8 rs2278426 (C/T) Polymorphism Is Associated with Prediabetes and Type 2 Diabetes in a Han Chinese Population in Hebei Province

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Guangsen Hou ◽  
Yong Tang ◽  
Luping Ren ◽  
Yunpeng Guan ◽  
Xiaoyu Hou ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chinese Population ◽  
Han Chinese ◽  
Hebei Province ◽  
Control Group ◽  
Chi Square ◽  
Han Chinese Population ◽  
Increased Risk ◽  
Bonferroni Test

Background. Our aim was to investigate the association between the genetics of the angiopoietin protein-like 8 (ANGPTL8) rs2278426 (C/T) polymorphism with prediabetes (pre-DM) and type 2 diabetes (T2DM) in a Han Chinese population in Hebei Province, China. Methods. We enrolled 1,460 participants into this case-control study: healthy controls, n = 524; pre-DM, n = 460; and T2DM: n = 460. Ligase assays on blood samples from all participants were used to identify polymorphisms. Differences in genotype and allele distributions were compared by the chi-square test and one-way analysis of variance, and a post hoc pairwise analysis was performed using the Bonferroni test. The logistic regression technique was adjusted for age, sex, and body mass index. Results. The frequency of the TT (10.9%) genotype was significantly higher in pre-DM patients than in controls (odds ratio [OR] = 1.696, 95% confidence interval [CI] = 1.026–2.802, P = 0.039 ). In the T2DM group, the CT (48%) and TT (15%) genotypes were significantly higher compared with those in the control group (CT : OR = 1.384, 95% CI = 1.013–1.890, P = 0.041 ; TT : OR = 2.530, 95% CI = 1.476–4.334, P = 0.001 ). The frequency of the T allele was significantly higher in the pre-DM (32.8%) and T2DM (39%) groups compared with the control group (26.9%) and was significantly associated with an increased risk of pre-DM (OR = 1.253, 95% CI = 1.017–1.544, P = 0.034 ) and T2DM (OR = 1.518, 95% CI = 1.214–1.897, P = 0.001 ). Furthermore, insulin levels in the pre-DM and T2DM groups were significantly decreased in those with the TT genotype compared with the CC and CT genotypes. Conclusion. ANGPTL8 rs2278426 may be involved in the mechanism of insulin secretion and could lead to an increased risk of pre-DM and T2DM.

scholarly journals East Asian Genome-wide association study derived loci in relation to type 2 diabetes in the Han Chinese population

2019 ◽  
Author(s):  
Sijia Zhang ◽  
Esma Jamaspishvili ◽  
Huixin Tong ◽  
Yongjie Chen ◽  
Zhongyu Zhou ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chinese Population ◽  
Genome Wide Association Study ◽  
Meta Analysis ◽  
East Asian ◽  
Repetitive Sequences ◽  
Han Chinese ◽  
Han Chinese Population ◽  
Genome Wide

Meta-analysis of GWAS in East Asian populations had established 10 loci that were associated with type 2 diabetes. Eight of them were with genome-wide significance and two with a border line association. Since these data have not been studied in an independent Han Chinese population, we aimed to investigate the association of these susceptibility loci with type 2 diabetes in an independent Han Chinese population. We executed a case-control study in 2 000 Chinese by the SNPscan method. Firstly, the repetitive sequences of 10 loci were assessed. Next, we investigated the association of 8 SNPs out of 10 with type 2 diabetes and constructed the GRS of those 8 SNPs. Finally, the relationship of the 8 loci and diabetes-related traits was analyzed. Based on the fact, that highly repetitive sequences were detected in 2 SNPs, we investigated the remaining 8 SNPs. With the exception of four SNPs (CMIP rs16955379, PEPD rs3786897, PSMD6 rs831571, ZFAND3 rs9470794), the other SNPs had the same direction of effect (odds ratio [OR]>1.0) as in the original reports, especially GLIS3 rs7041847 and KCNK16 rs1535500 were significantly associated with type 2 diabetes (rs1535500: p=0.005, OR=1.224, 95% CI 1.062–1.409; rs7041847: p=0.035, OR=1.118, 95% CI 1.070–1.388). The GRS constructed from the 8 SNPs was significantly associated with type 2 diabetes in the Chinese population (p=0.004, OR=1.065, 95% CI: 1.021–1.111). Among the participants with 24≤BMI<28 kg/m2 the 8 SNPs were significantly associated with type 2 diabetes (p=0.040, OR=1.079, 95% CI: 1.003–1.160). In quantitative trait analyses, WWOX rs17797882 was associated with decreased HOMA-β and increased level of TG and HDL-Ch, while PEPD rs3786897 and MAEA rs6815464 were associated with decreased fasting plasma glucose, and KCNK16 rs1535500 has shown a significant association with increased T-Ch and PSMD6 rs831571 had a significant association with decreased HDL-Ch. In Conclusion, with high probability the 8 loci identified in the East Asian GWAS meta-analysis are associated with type 2 diabetes in the Han Chinese population.

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