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Genetic Association of SH2B1 Gene Polymorphisms in Jordanian Arab Patients with Type 2 Diabetes Mellitus.

ABSTRACT: Objective:To investigate the genotypic and allelic association of Src homology 2 B adapter protein 1 (SH2B1) gene polymorphisms with type 2 diabetes mellitus (T2DM) in Jordanian patients. Patients and Methods:Three hundred patients were screened, but only 200 adult Jordanian patients diagnosed with T2DM (53.5% male and 46.5% female) have participated in this study. Blood samples were collected from both patients and healthy individuals for DNA extraction according to well-established procedures. Exon 1 and exon 9 of the SH2B1 gene ?were sequenced using an efficient and sensitive DNA sequencing method in order to identify specific single nucleotide polymorphisms (SNPs) in the SH2B1 gene associated with T2DM. Genetic and haplotype correlation analysis was performed for the chosen SNPs to detect any association if existent. In addition, SNPStats Web Tool and Hardy-Weinberg equilibrium (HWE) analyses for the genotype distribution were used. The significance was determined according to the P-value, and the level of significance taken as P < 0.05. The normality of the data distribution was statically analysed by the Shapiro-Wilk test with a P-value >0.05. Also, the patient's characteristics and clinical data about all participants ?were mentioned. Results:Two novel variations were present in the SH2B1 gene in Jordanian patients with T2DM: c.827C>G and c.2026G>A, and previously reported five SNPs: rs146946750, rs565131715, rs370302573, rs143212778, rs200470848. Our results showed a strong genetic association of rs565131715 SNP polymorphism within the SH2B1 gene in T2DM patients (? 2 test, P < 0.001). Additionally, rs143212778 SNP presented a genetic correlation with T2DM patients (? 2 test, P = 0.035) as compared to control individuals. GTACG haplotype of SH2B1 ?has a highly significant association with responders (P< 0.0001). Conclusion:Our findings indicated a strong association between the rs565131715 polymorphism and the risk of T2DM among the Jordanian population. Moreover, our data showed that the rs143212778 polymorphism significantly elevated the danger of T2DM among this population. This study reveals the first data regarding the SH2B1 gene polymorphisms in Jordanian patients of Arab descent with diabetes.

SUBMITTER: Al-Eitan LN

PROVIDER: S-EPMC7250702 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Genetic Association of <i>SH2B1</i> Gene Polymorphisms in Jordanian Arab Patients with Type 2 Diabetes Mellitus.

Al-Eitan Laith N LN Aman Hatem H Alkhatib Rami R Alghamdi Mansour A MA

Diabetes, metabolic syndrome and obesity : targets and therapy 20200522

<h4>Objective</h4>To investigate the genotypic and allelic association of Src homology 2 B adapter protein 1 (<i>SH2B1)</i> gene polymorphisms with type 2 diabetes mellitus (T2DM) in Jordanian patients.<h4>Patients and methods</h4>Three hundred patients were screened, but only 200 adult Jordanian patients diagnosed with T2DM (53.5% male and 46.5% female) have participated in this study. Blood samples were collected from both patients and healthy individuals for DNA extraction according to well-e ...[more]

PMID: 32547144

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Project description:IntroductionMicroRNAs (miRNA) involved in the insulin signaling pathways deeply affect the pathogenesis of T2DM. The aim of this study was to assess the association between single nucleotide polymorphisms (SNP) of the related miRNAs (let-7f rs10877887, let-7a-1 rs13293512, miR-133a-1 rs8089787, miR-133a-2 rs13040413, and miR-27a rs895819) and susceptibility to type 2 diabetes mellitus (T2DM), and its possible mechanisms.MethodsFive SNPs in miRNAs (let-7f rs10877887, let-7a-1 rs13293512, miR-133a-1 rs8089787, miR-133a-2 rs13040413, and miR-27a rs895819) involved in the insulin signaling pathways were selected and genotyped in a case-control study that enrolled 371 T2DM patients and 381 non-diabetic controls. The individual SNP association analyses, interaction analyses of SNP-SNP, SNP-environmental factors were performed. The effect the risk-associated polymorphism on regulating its mature miRNA expression was also evaluated.ResultsIn overall analyses, miR-133a-2 rs13040413 and let-7a-1 rs13293512 were related to the susceptibility to T2DM. In stratified analyses, miR-133a-2 rs13040413, let-7a-1 rs13293512 and miR-27a rs895819 showed associations with T2DM in the age ≥ 60 years subgroup. Moreover, let-7a-1 rs13293512 and miR-27a rs895819 showed associations with T2DM in male subgroup. In SNP-environmental factors interaction analyses, there were interaction effects of miR-133a-2 rs13040413 with dyslipidemia, let-7a-1 rs13293512 with smoking, and let-7a-1 rs13293512 with dyslipidemia on T2DM. In SNP-SNP interaction analyses, there were also interaction effects of miR-133a-1 rs8089787 with let-7a-1 rs13293512, and miR-133a-1 rs8089787 with let-7f rs10877887 on T2DM. Furthermore, for miR-133a-2 rs13040413, the variant T allele showed a trend toward decreased miR-133a expression in comparison with the wild C allele. For let-7a-1 rs13293512, the variant C allele expressed a lower let-7a compared to the wild T allele.ConclusionMiRNAs polymorphisms involved in the insulin signaling pathways and the interaction effects of SNP-SNP, SNP-environmental factors were related to T2DM susceptibility in a Chinese population.

Project description:AimThe association of polymorphisms in the three genes of SOCS3, JAK2 and STAT3 with genetic susceptibility to type 2 diabetes mellitus (T2DM) was explored, and its interaction with environmental factors such as hypertension and triglycerides was analyzed.MethodsThe Hardy-Weinberg balance test was used to analyze the random balance of genes in the population. The analysis of the association of SNPs with T2DM was performed using Pearson's chi-square test. Haplotype frequency distribution, SNPs-SNPs interaction and environmental factors were analyzed by chi-square test and logistic regression.ResultsThe genotype distribution of SNPs rs2280148 of the SOCS3 gene was statistically significant. The allele frequency distribution of SNPs (rs4969168/rs2280148) was statistically different. After covariate correction, the SOCS3 gene locus (rs4969168) showed an association with T2DM in additive model, while the rs2280148 locus showed an association with T2DM in all three models. The locus (rs10974914/rs10815157) allele and genotype frequency distribution of JAK2 were statistically significant. After covariate correction, two SNPs in the gene showed association with T2DM in both additive and recessive models. The distribution of genotype frequencies of SNPs rs1053005 locus in gene STAT3 was statistically significant between the two groups. In recessive genetic models, rs1053005 locus polymorphisms was associated with T2DM. Haplotype S3 (G G)/S 4 (G T) of the SOCS3 gene as well as haplotype J2 (A G)/J 3 (G C) of the JAK2 gene were closely associated with T2DM. There was an interaction between SNPs rs4969168 and SNPs rs2280148 in the SOCS3 gene. There was an interaction between the SOCS3, JAK2 and STAT3 genes and hypertension/triglycerides.ConclusionThe SOCS3 and JAK2 genes may be associated with T2DM in the Chinese population, in which SNPs carrying the A allele (rs4969168)/G allele (rs2280148)/C allele (rs10815157) have a reduced risk of T2DM. Haplotype S3 (G G)/S 4 (G T) of the SOCS3 gene and haplotype J2 (A G)/J 3 (G C) of the JAK2 gene may be influencing factor for T2DM. The interaction between SNPs rs4969168 and SNPs rs2280148 increases the risk of T2DM. Hypertension and triglycerides may interact with SNPs of T2DM susceptibility genes.

Project description:Background:Type 2 diabetes mellitus (T2DM) is a metabolic disorder with growing prevalence and increasing economic burden. Based on the role of genetics and epigenetic factors on T2DM, we aimed to carry a systematic review and meta-analysis for all miRNA gene polymorphisms and risk of T2DM. Materials and Methods:A computerized literature search was carried out on PubMed, Web of Science, Scopus, Embase, as well as references of relevant review/meta-analysis. Key search terms were "Diabetes Mellitus, Type 2," "MicroRNAs," and "Polymorphism, Single Nucleotide." All types of observational studies from January 1, 1992, to November 30, 2019, were included, without language restriction. Data analysis was performed using R programming language (3.5.2). Level of heterogeneity was obtained by Cochran's Q test (P < 0.05), and subgroup analysis was performed based on ethnicity. Results:Thirty-two polymorphisms from fifteen articles were included. Meta-analysis was carried out based on minor allele frequencies. Seven studies with 2193 cases and 3963 controls were included for rs2910164 polymorphism. In subgroup analysis, there were significant results in Caucasian population in dominant model (odds ratio [OR] =1.12; 95% confidence interval [CI]: 0.83-1.51), homozygote model (OR = 1.78; 95% CI: 1.06-3.00), heterozygote model (OR = 1.77; 95% CI: 1.03-3.05), and recessive model (OR = 1.78; 95% CI: 1.07-2.96). Four studies with 2085 cases and 1933 controls were included for rs895819 polymorphism. Overall, there was no significant result for association with rs895819, but subgroup analysis revealed that minor allele significantly decreased the risk of T2DM in Caucasians by recessive model (OR = 0.34; 95% CI: 0.18-0.66), dominant model (OR = 0.70; 95% CI: 0.52-0.94), homozygote model (OR = 0.32; 95% CI: 0.16-0.62), heterozygote model (OR = 0.37; 95% CI: 0.19-0.74), allelic model (OR = 0.67; 95% CI: 0.52-0.85). Conclusion:The minor allele of rs2910164 may increase the risk of T2DM by leading to lower level of miR-146a. In contrast, minor allele of rs895819 may decrease the risk of T2DM by leading to higher level of miR-27a.

Dataset Information

Genetic Association of SH2B1 Gene Polymorphisms in Jordanian Arab Patients with Type 2 Diabetes Mellitus.

Publications

Genetic Association of <i>SH2B1</i> Gene Polymorphisms in Jordanian Arab Patients with Type 2 Diabetes Mellitus.

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