Dataset Information

Genetic variants associated with lean and obese type 2 diabetes in a Han Chinese population: A case-control study.

ABSTRACT: Type 2 diabetes (T2D) is highly phenotypically heterogeneous. Genetics of the heterogeneity of lean and obese T2D is not clear. The aim of the present study was to identify the associations of T2D-related genetic variants with the risks for lean and obese T2D among the Chinese Han population. A case-control study consisting of 5338 T2D patients and 4663 normal glycemic controls of Chinese Han recruited in the Chinese National Diabetes and Metabolic Disorders Study was conducted. T2D cases were identified according to the 1999 World Health Organization criteria. Lean T2D was defined as T2D patient with a body mass index (BMI) <23?kg/m, whereas obese T2D was defined as T2D patient with a BMI ?28?kg/m. Twenty-five genome-wide association studies previously validated T2D-related single-nucleotide polymorphisms (SNPs) were genotyped. A genotype risk score (GRS) based on the 25 SNPs was created. After adjusting for multiple covariates, SNPs in or near CDKAL1, CDKN2BAS, KCNQ1, TCF7L2, CDC123/CAMK1D, HHEX, and TCF2 were associated with the risk for lean T2D, and SNPs in or near KCNQ1 and FTO were associated with the risk for obese T2D. The results showed that the GRS for 25 T2D-related SNPs was more strongly associated with the risk for lean T2D (Ptrend = 2.66?×?10) than for obese T2D (Ptrend = 2.91?×?10) in our study population. Notably, the T2D GRS contributed to lower obesity-related measurements and greater ?-cell dysfunction, including lower insulin levels in oral glucose tolerance test, decreased insulinogenic index, and Homeostasis Model Assessment for ?-cell Function. In conclusion, our findings identified T2D-related genetic loci that contribute to the risk of lean and obese T2D individually and additively in a Chinese Han population. Moreover, the study highlights the contribution of known T2D genomic loci to the heterogeneity of lean and obese T2D in Chinese Hans.

SUBMITTER: Kong X

PROVIDER: S-EPMC4907669 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Genetic variants associated with lean and obese type 2 diabetes in a Han Chinese population: A case-control study.

Kong Xiaomu X Xing Xiaoyan X Hong Jing J Zhang Xuelian X Yang Wenying W

Medicine 20160601 23

Type 2 diabetes (T2D) is highly phenotypically heterogeneous. Genetics of the heterogeneity of lean and obese T2D is not clear. The aim of the present study was to identify the associations of T2D-related genetic variants with the risks for lean and obese T2D among the Chinese Han population. A case-control study consisting of 5338 T2D patients and 4663 normal glycemic controls of Chinese Han recruited in the Chinese National Diabetes and Metabolic Disorders Study was conducted. T2D cases were i ...[more]

PMID: 27281091

Similar Datasets

Project description: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. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-021-01105-8.

Project description:PurposeHOX transcript antisense RNA (HOTAIR) plays important roles in carcinogenesis of various kinds of malignant tumors, including lung cancer. Single nucleotide polymorphisms (SNPs) in HOTAIR were reported to be associated with susceptibility of several kinds of cancers. The present study assessed the associations between three SNPs (rs4759314, rs12826786, and rs920778) and lung cancer susceptibility, as well as gene-environment interaction between smoking exposure and the polymorphisms.Patients and methodsA case-control study including 551 patients and 543 healthy controls was performed. The associations between SNPs and lung cancer susceptibility were assessed by logistic regression model.Resultsrs4759314 was observed to increase the susceptibility of lung cancer, lung adenocarcinoma, squamous lung cancer, and small cell lung cancer statistically significantly (OR of 4.048 for lung cancer; 3.584 for lung adenocarcinoma; 4.671 for squamous lung cancer; 4.502 for small cell lung cancer). In stratified analysis for sex and smoking exposure, rs4759314 GG and AG genotype was also observed to increase the risk of lung cancer statistically significantly (OR of 5.221 for male; 3.491 for female; 3.653 for nonsmoking individuals; 4.458 for smoking individuals). Results of gene-environment interaction analysis showed that there was no interaction between smoking exposure and rs4759314 on additive scale. Results of logistic regression model suggested that the interaction between smoking and rs4759314 was statistically significant on multiplicative scale. rs12826786 CT genotype carriers and T allele could decrease the risk of developing lung cancer (OR of 0.751 for CT carriers; 0.785 for T allele), and in dominant model, TC and TT genotype carriers also have a 0.249-fold decrease risk compared with CC genotype carriers. In stratified analysis for smoking exposure, TC and TT have a 0.432-fold decreased risk compared with CC genotype carriers.ConclusionHOTAIR rs4759314 and rs12826786 were associated with lung cancer susceptibility in Chinese Han population.

Dataset Information

Genetic variants associated with lean and obese type 2 diabetes in a Han Chinese population: A case-control study.

Publications

Genetic variants associated with lean and obese type 2 diabetes in a Han Chinese population: A case-control study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets