Genetic Variants in Peroxisome Proliferator-Activated Receptor-γ and Retinoid X Receptor-α Gene and Type 2 Diabetes Risk: A Case-Control Study of a Chinese Han Population

2011 ◽  
Vol 13 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Ying Lu ◽  
Xinhua Ye ◽  
Yuanyuan Cao ◽  
Qian Li ◽  
Xiaofang Yu ◽  
...  
Keyword(s):  
Genetic Variants ◽  
Case Control Study ◽  
Case Control ◽  
Retinoid X Receptor ◽  
Peroxisome Proliferator ◽  
Chinese Han ◽  
Peroxisome Proliferator Activated Receptor ◽  
Han Population ◽  
Control Study

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

scholarly journals CTNNA3 genetic polymorphism may be a new genetic signal of type 2 diabetes in the Chinese Han population: a case control study

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yunjun Zhang ◽  
Xiaoman Zhou ◽  
Wanjuan Dai ◽  
Juan Sun ◽  
Mei Lin ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Subgroup Analysis ◽  
Case Control Study ◽  
Case Control ◽  
Candidate Snps ◽  
Chinese Han ◽  
Han Population ◽  
Genetic Signal ◽  
Control Study

Abstract Background Type 2 Diabetes (T2D) is the result of a combination of genes and environment. The identified genetic loci can only explain part of T2D risk. Our study is aimed to explore the association between CTNNA3 single nucleotide polymorphisms (SNPs) and T2D risk. Methods We conducted a 'case–control' study among 1002 Chinese Han participants. Four candidate SNPs of CTNNA3 were selected (rs10822745 C/T, rs7920624 A/T, rs2441727 A/G, rs7914287 A/G), and logistic regression analysis was used to evaluate the association between candidate SNPs and T2D risk. We used single factor analysis of variance to analyze the differences of clinical characteristics among different genotypes. In this study, haplotype analysis was conducted by plink1.07 and Haploview software and linkage disequilibrium (LD) was calculated. The interaction of candidate SNPs in T2D risk was evaluated by multi-factor dimensionality reduction (MDR). Finally, we conducted a false-positive report probability (FPRP) analysis to detect whether the significant findings were just chance or noteworthy observations. Results The results showed that CTNNA3-rs7914287 was a risk factor for T2D (‘T’: OR = 1.33, p = 0.003; ‘TT’: OR = 2.21, p = 0.001; ‘TT’ (recessive): OR = 2.09, p = 0.001; Log-additive: OR = 1.34, p = 0.003). The results of subgroup analysis showed that rs7914287 was significantly associated with the increased risk of T2D among participants who were older than 60 years, males, smoking, drinking, or BMI > 24. We also found that rs2441727 was associated with reducing the T2D risk among participants who were older than 60 years, smoking, or drinking. In addition, rs7914287 was associated with T2D patients with no retinal degeneration; rs10822745 and rs7920624 were associated with the course of T2D patients. High density lipoprotein levels had significant differences under different genotypes of rs10822745. Under the different genotypes of rs7914287, the levels of aspartate aminotransferase, alanine aminotransferase and gamma-glutamyltransferase were also significantly different. Conclusion We found that CTNNA3 genetic polymorphisms can be used as a new genetic signal of T2D risk in Chinese Han population. Especially, CTNNA3-rs7914287 showed an outstanding and significant association with T2D risk in both overall analysis and subgroup analysis.

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