Dataset Information

IGF2BP2 and obesity interaction analysis for type 2 diabetes mellitus in Chinese Han population.

ABSTRACT: BACKGROUND: The objective of this study was to systematically evaluate the contribution of the insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) to type 2 diabetes mellitus (T2DM) and its interaction with obesity to T2DM susceptibility. METHODS: To clarify whether IGF2BP2 is an independent risk factor for T2DM in Chinese population, we conducted a study with a total of 2,301 Chinese Han subjects, including 1,166 T2DM patients and 1,135 controls, for the genotype of a most common and widely studied polymorphism-rs4402960 of IGF2BP2. Genotyping was performed by iPLEX technology. Gene and environment interaction analysis was performed by using multiple logistic regression models. RESULTS: The repeatedly confirmed association between IGF2BP2 (rs4402960) and T2DM had not been replicated in this cohort (P?=?0.182). Interestingly, we found that obese subjects (body mass index (BMI)???28.0 kg/m2) bearing the minor A allele had an increased risk to develop T2DM (P?=?0.008 for allele analysis and P?

SUBMITTER: Wu HH

PROVIDER: S-EPMC4121008 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

IGF2BP2 and obesity interaction analysis for type 2 diabetes mellitus in Chinese Han population.

Wu Hui-Hui HH Liu Nai-Jia NJ Yang Zhen Z Tao Xiao-Ming XM Du Yan-Ping YP Wang Xuan-Chun XC Lu Bin B Zhang Zhao-Yun ZY Hu Ren-Ming RM Wen Jie J

European journal of medical research 20140725

<h4>Background</h4>The objective of this study was to systematically evaluate the contribution of the insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) to type 2 diabetes mellitus (T2DM) and its interaction with obesity to T2DM susceptibility.<h4>Methods</h4>To clarify whether IGF2BP2 is an independent risk factor for T2DM in Chinese population, we conducted a study with a total of 2,301 Chinese Han subjects, including 1,166 T2DM patients and 1,135 controls, for the genotype of a mos ...[more]

PMID: 25062844

Similar Datasets

Project description:ObjectiveThis study is aimed at analyzing the relationship between leptin (LEP) signaling pathway and type 2 diabetes mellitus (T2DM) and at providing support for molecular genetic research on the pathogenesis of T2DM in Chinese Han population.MethodsA case-control study was designed, including 1092 cases with T2DM and 1092 healthy controls of Chinese Han origin recruited from ten hospitals in Guangdong Province, Southern China. Twenty-three single nucleotide polymorphisms (SNPs) of 15 genes in LEP signaling pathway were genotyped by SNPscan™ kit. The Pearson chi-square test, Cochran-Armitage trend test, MAX3, and logistic regression were applied to analyze the association between single nucleotide polymorphism (SNP) and T2DM; unconditional logistic regression was used to analyze haplotype in LD block; and SNP set analysis based on logistic kernel machine regression was used to analyze pathway. All statistical analysis was performed by SPSS25.0, R2.14, Haploview4.2, SNPStats, and other statistical software packages.ResultsIn association analysis based on SNP, rs2167270 had statistical significance both in the adjusted and unadjusted covariate dominant model and in the unadjusted covariate overdominant model while it had no significant difference in the adjusted covariate overdominant model. Compared to GG genotype, rs2167270 of AG genotype had statistical significance in both the adjusted and unadjusted covariate codominant models. And rs16147 had statistical significance in robust test, stealth model and overdominant model, and adjusting and unadjusting covariate. This study found linkage disequilibrium existed between rs2167270 and rs4731426 of LEP, rs10889502 and rs17127107 of JAK1, rs2970847 and rs6821591 of PPARGC1A, rs249429 and rs3805486 of PRKAA1, rs1342382 and rs6588640 of PRKAA2, rs3766522 and rs6937 of PRKAB2, rs2970847 and rs6821591 of PRKAG2, and rs6436094 and rs645163 of PRKAG3. There was no positive finding with statistical significance from the unconditional logistic regression of the mentioned genes' haplotype of LD block.ConclusionsLEP signaling pathway association with T2DM remained to be confirmed in Chinese Han population, although rs2167270 and rs16147 were significantly associated with T2DM.

Project description:BACKGROUND:Type 2 diabetes mellitus (T2DM) is a metabolic disorder which accounts for high morbidity and mortality due to complications like renal failure, amputations, cardiovascular disease, and cerebrovascular events. METHODS:We collected medical reports, lifestyle details, and blood samples of individuals and used the polymerase chain reaction-ligase detection reaction method to genotype the SNPs, and a visit was conducted in August 2016 to obtain the incidence of Type 2 diabetes in the 2113 eligible people. To explore which genes and environmental factors are associated with type 2 diabetes mellitus in a Chinese Han population, we used elastic net to build a model, which is to explain which variables are strongly associated with T2DM, rather than predict the occurrence of T2DM. RESULT:The genotype of the additive of rs964184, together with the history of hypertension, regular intake of meat and waist circumference, increased the risk of T2DM (adjusted OR?=?2.38, p?=?0.042; adjusted OR?=?3.31, p?<?0.001; adjusted OR?=?1.05, p?<?0.001). The TT genotype of the additive and recessive models of rs12654264, the CC genotype of the additive and dominant models of rs2065412, the TT genotype of the additive and dominant models of rs4149336, together with the degree of education, regular exercise, reduced the risk of T2DM (adjusted OR?=?0.46, p?=?0.017; adjusted OR?=?0.53, p?=?0.021; adjusted OR?=?0.59, p?=?0.021; adjusted OR?=?0.57, p?=?0.01; adjusted OR?=?0.59, p?=?0.021; adjusted OR?=?0.57, p?=?0.01; adjusted OR?=?0.50, p?=?0.007; adjusted OR?=?0.80, p?=?0.032) . CONCLUSION:Eventually we identified a set of SNPs and environmental factors: rs5805 in the SLC12A3, rs12654264 in the HMGCR, rs2065412 and rs414936 in the ABCA1, rs96418 in the ZPR1 gene, waistline, degree of education, exercise frequency, hypertension, and the intake of meat. Although there was no interaction between these variables, people with two risk factors had a higher risk of T2DM than those only having one factor. These results provide the theoretical basis for gene and other risk factors screening to prevent T2DM.

Dataset Information

IGF2BP2 and obesity interaction analysis for type 2 diabetes mellitus in Chinese Han population.

Publications

IGF2BP2 and obesity interaction analysis for type 2 diabetes mellitus in Chinese Han population.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets