scholarly journals Application of Back Propagation Artificial Neural Network on Genetic Variants in Adiponectin ADIPOQ, Peroxisome Proliferator-Activated Receptor-γ, and Retinoid X Receptor-α Genes and Type 2 Diabetes Risk in a Chinese Han Population

2012 ◽  
Vol 14 (3) ◽  
pp. 293-300 ◽  
Author(s):  
Hui Shi ◽  
Ying Lu ◽  
Juan Du ◽  
Wencong Du ◽  
Xinhua Ye ◽  
...  
Keyword(s):  
Neural Network ◽  
Type 2 Diabetes ◽  
Genetic Variants ◽  
Back Propagation ◽  
Retinoid X Receptor ◽  
Peroxisome Proliferator ◽  
Chinese Han ◽  
Peroxisome Proliferator Activated Receptor ◽  
Han Population

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 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.

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
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