scholarly journals Association of Genetic Variants ofBMP4with Type 2 Diabetes Mellitus and Clinical Traits in a Chinese Han Population

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Shanshan Tang ◽  
Rong Zhang ◽  
Weihui Yu ◽  
Feng Jiang ◽  
Jie Wang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Genetic Variants ◽  
Transforming Growth Factor ◽  
Dominant Role ◽  
Chinese Han Population ◽  
Minor Effect ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Han Population

BMP4is one of the transforming growth factor-βsuperfamily, which can participate in adipogenesis. Gene encodingBMP4is acknowledged as a convincing candidate that may contribute to both glucose and lipid metabolism. In this paper, we aimed to test the impacts ofBMP4variants on type 2 diabetes in a large sample of Chinese population. We genotyped 10 tagging single nucleotide polymorphisms within theBMP4region in 6822 participants and acquired detailed clinical investigations and biochemistry measurements. We found thatBMP4rs8014363 showed nominal association towards type 2 diabetes, with the T allele conferring a high risk of type 2 diabetes (OR=1.108, 95%CI 0.999–1.229,P=0.051for allele;OR=1.110, 95%CI 1.000–1.231,P=0.050for genotype), but it was no longer statistically significant after adjusting for multiple testing (empiricalP=0.3689for allele based on 10,000 permutations). Moreover, we observed a significant association of rs8014363 with triglyceride level and a trend towards association with high-density lipoprotein cholesterol after adjusting for age, gender, and BMI (P=0.035and 0.068, resp.). Our data suggested that the genetic variants ofBMP4may not play a dominant role in glucose metabolism in Chinese Han population, but a minor effect cannot be ignored.

scholarly journals Association between ABC family variants rs1800977, rs4149313, and rs1128503 and susceptibility to type 2 diabetes in a Chinese Han population

2020 ◽  
Vol 48 (8) ◽  
pp. 030006052094134
Author(s):  
Ruicheng Yan ◽  
Jianfei Luo ◽  
Xiaobo He ◽  
Shijun Li
Keyword(s):  
Type 2 Diabetes ◽  
Genetic Variants ◽  
Recessive Model ◽  
Genetic Models ◽  
Chinese Han Population ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Single Nucleotide ◽  
Han Population

Objective To investigate the association between three single nucleotide polymorphisms (SNPs) of the ATP-binding cassette (ABC) gene family and susceptibility to type 2 diabetes mellitus in a Chinese Han population. Methods A total of 1086 type 2 diabetes patients and 1122 healthy controls were included in this retrospective study. Three genetic variants, rs1800977 and rs4149313 in ABCA1, and rs1128503 in ABCB1 were included in the study. Susceptibility to type 2 diabetes was evaluated under three genetic models. Results A significant association between rs1800977 and type 2 diabetes was identified in three different genetic models (TT vs CC, odds ratio [OR] = 0.611 [95% confidence interval (CI), 0.469–0.798]; T vs C, OR = 0.841 [95% CI, 0.745–0.950]; and the recessive model, OR = 0.606 [95% CI, 0.474–0.774]). Additionally, a significant association between rs4149313 and type 2 diabetes was identified in three different genetic models (AA vs GG, OR = 0.467 [95% CI, 0.326–0.670]; A vs G, OR = 0.819 [95% CI, 0.717–0.935]; and the recessive model, OR = 0.478 [95% CI, 0.336–0.680]). Conclusion We found that SNPs rs1800977 and rs4149313 in ABCA1 are significantly associated with susceptibility to type 2 diabetes in a Chinese population, although this should be confirmed in a larger study.

scholarly journals Association between STAT4 gene polymorphism and type 2 diabetes risk in Chinese Han population

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Jiaqi Cui ◽  
Rui Tong ◽  
Jing Xu ◽  
Yanni Tian ◽  
Juan Pan ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Additive Models ◽  
Chinese Han Population ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Han Population ◽  
Potential Association ◽  
New Ideas ◽  
Stratified Analysis

Abstract Background Evidence from genetic epidemiology indicates that type 2 diabetes (T2D) has a strong genetic basis. Activated STAT4 has an inflammatory effect, and STAT4 is an important mediator of inflammation in diabetes. Our study aimed to study the association between STAT4 single nucleotide polymorphisms (SNPs) and T2D susceptibility in Chinese Han population. Methods We conducted a 'case–control' study among 500 T2D patients and 501 healthy individuals. 5 candidate STAT4 SNPs were successfully genotyped. The association between SNPs and T2D susceptibility under different genetic models was evaluated by logistic regression analysis. ‘SNP-SNP’ interaction was analyzed and completed by multi-factor dimensionality reduction (MDR). Finally, we evaluated the differences of clinical characteristics under different genotypes by one-factor analysis of variance. Results The overall results showed that STAT4 rs3821236 was associated with increasing T2D risk under allele (OR 1.23, p = 0.020), homozygous (OR 1.51, p = 0.025), dominant (OR 1.36, p = 0.029), and additive models (OR 1.23, p = 0.020). The results of stratified analysis showed that rs3821236, rs11893432, and rs11889341 were risk factors for T2D among participants ≤ 60 years old. Only rs11893432 was associated with increased T2D risk among female participants. There was also a potential association between rs3821236 and T2D with nephropathy risk. STAT4 rs11893432, rs7574865 and rs897200 were significantly associated with lysophosphatidic acid, cystatin C and thyroxine t4, respectively. Conclusion The genetic polymorphisms of STAT4 is potentially associated with T2D susceptibility of Chinese population. In particular, rs3821236 is significantly associated with T2D risk both in the overall and several subgroup analyses. Our study may provide new ideas for T2D individualized diagnosis/protection.

scholarly journals Association of IL-16 gene polymorphisms with the risk of developing type 2 diabetes mellitus in the Chinese Han population

2019 ◽  
Vol 39 (8) ◽  
Author(s):  
Fangxiao Cheng ◽  
Lu Liu ◽  
Hongli Zhang ◽  
Yi Zhu ◽  
Xiaohua Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chinese Han Population ◽  
Case Group ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Han Population ◽  
Increased Risk

Abstract Objective: The aim of the present study was to explore the genetic association of single nucleotide polymorphisms (SNPs) in interleukin-16 (IL-16) gene with type 2 diabetes mellitus (T2DM) susceptibility in a Chinese Han population. Methods: In total, 133 T2DM patients and 127 healthy controls matched by age and gender were recruited in the case–control study. IL-16 gene rs4778889 and rs11556218 polymorphisms were genotyped in the two groups via polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Differences in genotype and allele distributions between groups were compared by the χ2 test. All the comparisons were adjusted for age, gender, and body mass index (BMI) by logistic regression. The odds ratios (ORs) and 95% confidence intervals (CIs) were used to evaluate the association strength between IL-16 gene polymorphism and T2DM risk. Results: The TG genotype and G allele frequencies of rs11556218 increased remarkably in the case group than that in controls (45.86 vs 33.86%; 29.70 vs 20.87%), and the differences reached a significant level (P<0.05). After adjusting for age, gender, and BMI, the differences still reached a significant level (P<0.05). Rs11556218 TG genotype carriers had a 1.769-fold increased risk of developing T2DM (OR = 1.769, 95% CI = 1.045–2.994), and G allele was also associated with an increased risk of T2DM (OR = 1.639, 95% CI = 1.087–2.471). IL-16 rs4778889 polymorphism showed no significant association with T2DM risk. Conclusion: IL-16 gene rs11556218 polymorphism was significantly associated with T2DM susceptibility in the Chinese Han population, while rs4778889 was not.

Genetic variants in ADIPOQ gene and the risk of type 2 diabetes: a case–control study of Chinese Han population

Endocrine ◽  
2011 ◽  
Vol 40 (3) ◽  
pp. 413-422 ◽  
Author(s):  
Wencong Du ◽  
Qian Li ◽  
Ying Lu ◽  
Xiaofang Yu ◽  
Xinhua Ye ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Genetic Variants ◽  
Case Control Study ◽  
Case Control ◽  
Chinese Han Population ◽  
Chinese Han ◽  
Han Population ◽  
Adipoq Gene ◽  
Control Study

Impact of variants of the EXT2 gene on Type 2 diabetes and its related traits in the Chinese han population

2014 ◽  
Vol 40 (2) ◽  
pp. 79-82 ◽  
Author(s):  
Qian Ren ◽  
Jianzhong Xiao ◽  
Xueyao Han ◽  
Wenying Yang ◽  
Linong Ji
Keyword(s):  
Type 2 Diabetes ◽  
Chinese Han Population ◽  
Chinese Han ◽  
Han Population

scholarly journals Association between PNPLA2 Gene Polymorphisms and the Risk of Diabetic Kidney Disease in a Chinese Han Population with Type 2 Diabetes

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Hailing Zhao ◽  
Haojun Zhang ◽  
Yan Wang ◽  
Tingting Zhao ◽  
Meihua Yan ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Odds Ratio ◽  
Diabetic Kidney Disease ◽  
Adjusted Odds Ratio ◽  
Additive Model ◽  
Chinese Han Population ◽  
Dominant Model ◽  
Chinese Han ◽  
Han Population

Diabetic kidney disease (DKD) is one of the most common complications of diabetes and the leading cause of end-stage renal disease. Here, we investigated the association of PNPLA2 gene variations with DKD susceptibility in a Chinese Han population. A total of 818 participants with type 2 diabetes were recruited in the case-control study, including 379 patients diagnosed with DKD. We observed that 2 tagSNPs, PNPLA2 rs28633403 (A>G) and rs1138714 (A>G), were associated with DKD (rs28633403: genotype, P=0.017; allele, P=0.015; rs1138714: genotype, P=0.029; allele, P=0.018). PNPLA2 rs1138693 (T>C), a missense SNP, showed no association with DKD (genotype, P=0.966; allele, P=0.845). Genetic model analysis revealed that minor allele G of PNPLA2 rs28633403 was a protective factor of DKD in a dominant model adjusted by confounders (AG+GG vs. AA: adjusted odds ratio (aOR), 0.619; 95% CI 0.447-0.857; P=0.004) and in an additive model (AG vs. AA: aOR, 0.633; 95% CI 0.447-0.895; P=0.010; GG vs. AA: aOR, 0.588; 95% CI 0.385-0.897; P=0.014). Minor allele G of PNPLA2 rs1138714 was associated with a higher risk of DKD in a dominant model adjusted by confounders (AG+GG vs. AA: adjusted odds ratio (aOR), 1.531; 95% CI 1.134-2.067; P=0.005) and in an additive model (AG vs. AA: aOR, 1.529; 95% CI 1.118-2.091; P=0.008). The combined effect of PNPLA2 rs28633403 AA+rs1138714 AG or GG genotype showed an association with DKD, adjusted by confounders (aOR, 2.194; 95% CI 1.378-3.492; P=0.001), which was considered statistically significant with a markedly increased risk of DKD after a Holm-Bonferroni correction for multiple tests (P<0.00125). Our results suggest that PNPLA2 rs28633403 and rs1138714 are significantly associated with the risk of DKD in a Chinese Han population with type 2 diabetes.

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